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["Filtrovanie podľa kľúčových slov* (vyhľadávanie v názve kurzu alebo v opise kurzu - musí obsahovať všetky slová naraz)"]
[null,"* pre správne fungovanie povoľte makrá"]
[null,"slovo 1 (zoznam)"]
[null,"slovo 2 (zoznam)"]
[null,"slovo 3 (zoznam)"]
[null,"slovo 4 (vlastné)"]
[null,"slovo 5 (vlastné)"]
[null,"slovo 6 (vlastné)"]
[null,"dátum od"]
[]
["Kód","Inštitúcia","Názov kurzu","Miesto konania","Dĺžka (pracovné dni)","Dĺžka (kalendárne dni)","Dátum konania\nOD","Dátum konania\nDO","Poplatok","Termín zaplatenia poplatku / prihlásenia","Web stránka","Opis","Poznámka","Ubytovanie v cene","Skúška","Hodnotenie inštitúcie","Celkové hodnotenie kurzu","Počet hodnotiteľov","Komu je kurz určený z pohľadu náročnosti","Slovné hodnotenie"]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C4)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C4)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C4)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C4)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C4)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C4)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L4)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L4)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L4)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L4)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L4)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L4)),FALSE))),ZOZNAM!G4>=$C$9),ZOZNAM!A4,\"\")","v":"AC100"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!B4=\"\",\"\",ZOZNAM!B4),\"\")","v":"ACREA CR"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!C4=\"\",\"\",ZOZNAM!C4),\"\")","v":"Korelační analýza"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!D4=\"\",\"\",ZOZNAM!D4),\"\")","v":"Praha, Česko"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!E4=\"\",\"\",ZOZNAM!E4),\"\")","v":1},{"$f":"IF($A13<>\"\",IF(ZOZNAM!F4=\"\",\"\",ZOZNAM!F4),\"\")","v":1},{"$f":"IF($A13<>\"\",IF(ZOZNAM!G4=\"\",\"\",ZOZNAM!G4),\"\")","v":"2019-02-25"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!H4=\"\",\"\",ZOZNAM!H4),\"\")","v":"2019-02-25"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!I4=\"\",\"\",ZOZNAM!I4),\"\")","v":"240 EUR"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!J4=\"\",\"\",ZOZNAM!J4),\"\")","v":""},{"$f":"IF($A13<>\"\",IF(ZOZNAM!K4=\"\",\"\",ZOZNAM!K4),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!L4=\"\",\"\",ZOZNAM!L4),\"\")","v":"The aim of this course is to acquaint students with correlation measures for numerical data and their application in various practical situations. Topic  is illustrated and practiced on real data from analytical practice. Students will acquire sufficient knowledge for independent correct use of correlations in their own analyzes."},{"$f":"IF($A13<>\"\",IF(ZOZNAM!M4=\"\",\"\",ZOZNAM!M4),\"\")","v":""},{"$f":"IF($A13<>\"\",IF(ZOZNAM!N4=\"\",\"\",ZOZNAM!N4),\"\")","v":"nie"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!O4=\"\",\"\",ZOZNAM!O4),\"\")","v":"nie"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!P4=\"\",\"\",ZOZNAM!P4),\"\")","v":1.9},{"$f":"IF($A13<>\"\",IF(ZOZNAM!Q4=\"\",\"\",ZOZNAM!Q4),\"\")","v":1.5},{"$f":"IF($A13<>\"\",IF(ZOZNAM!R4=\"\",\"\",ZOZNAM!R4),\"\")","v":2},{"$f":"IF($A13<>\"\",IF(ZOZNAM!S4=\"\",\"\",ZOZNAM!S4),\"\")","v":"Začiatočníkom"},{"$f":"IF($A13<>\"\",IF(ZOZNAM!T4=\"\",\"\",ZOZNAM!T4),\"\")","v":"Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C5)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C5)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C5)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C5)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C5)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C5)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L5)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L5)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L5)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L5)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L5)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L5)),FALSE))),ZOZNAM!G5>=$C$9),ZOZNAM!A5,\"\")","v":"AC101"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!B5=\"\",\"\",ZOZNAM!B5),\"\")","v":"ACREA CR"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!C5=\"\",\"\",ZOZNAM!C5),\"\")","v":"Regresní analýza I"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!D5=\"\",\"\",ZOZNAM!D5),\"\")","v":"Praha, Česko"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!E5=\"\",\"\",ZOZNAM!E5),\"\")","v":1},{"$f":"IF($A14<>\"\",IF(ZOZNAM!F5=\"\",\"\",ZOZNAM!F5),\"\")","v":1},{"$f":"IF($A14<>\"\",IF(ZOZNAM!G5=\"\",\"\",ZOZNAM!G5),\"\")","v":"2019-02-26"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!H5=\"\",\"\",ZOZNAM!H5),\"\")","v":"2019-02-26"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!I5=\"\",\"\",ZOZNAM!I5),\"\")","v":"240 EUR"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!J5=\"\",\"\",ZOZNAM!J5),\"\")","v":""},{"$f":"IF($A14<>\"\",IF(ZOZNAM!K5=\"\",\"\",ZOZNAM!K5),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!L5=\"\",\"\",ZOZNAM!L5),\"\")","v":"This course includes models of one-dimensional and multi-dimensional linear regression analysis for numeric variables. Emphasis is on the importance and construction of the basic model, tests of hypotheses on its parameters and on the selection of suitable predictors using automatic procedures. Course also includes:\n-\ta simple equation model with one independent variable\n-\tpoint two-dimensional graph; correlation and linear regression equation (line)\n-\tproperties of simple linear regression, principle of least squares method\n-\thypothesis tests and straight line parameter estimation, determination coefficient\n-\tresidues and simple residual analysis\n-\tmodels of nonlinear relations - curves convertible to linearity\n-\texplanation and prediction by regression equation\n-\tmultiple linear regression model - extension to multiple independent variables\n-\tthe meaning of the equation results and parameters\n-\ttesting parameters and testing the significance of the relationship\n-\tsequential procedures for determining predictors\n\n"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!M5=\"\",\"\",ZOZNAM!M5),\"\")","v":""},{"$f":"IF($A14<>\"\",IF(ZOZNAM!N5=\"\",\"\",ZOZNAM!N5),\"\")","v":"nie"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!O5=\"\",\"\",ZOZNAM!O5),\"\")","v":"nie"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!P5=\"\",\"\",ZOZNAM!P5),\"\")","v":1.9},{"$f":"IF($A14<>\"\",IF(ZOZNAM!Q5=\"\",\"\",ZOZNAM!Q5),\"\")","v":2},{"$f":"IF($A14<>\"\",IF(ZOZNAM!R5=\"\",\"\",ZOZNAM!R5),\"\")","v":2},{"$f":"IF($A14<>\"\",IF(ZOZNAM!S5=\"\",\"\",ZOZNAM!S5),\"\")","v":"Pokročilým"},{"$f":"IF($A14<>\"\",IF(ZOZNAM!T5=\"\",\"\",ZOZNAM!T5),\"\")","v":"Pre absolvovanie kurzu je nutná znalosť korelačnej analýzy príp. absolvovanie kurzu Korelační analýza. Kurz splnil očakávania a rozšíril znalosti aj mimo pracovej náplne hodnotiteľov. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C6)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C6)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C6)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C6)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C6)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C6)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L6)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L6)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L6)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L6)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L6)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L6)),FALSE))),ZOZNAM!G6>=$C$9),ZOZNAM!A6,\"\")","v":"AC102"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!B6=\"\",\"\",ZOZNAM!B6),\"\")","v":"ACREA CR"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!C6=\"\",\"\",ZOZNAM!C6),\"\")","v":"Regresní analýza II"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!D6=\"\",\"\",ZOZNAM!D6),\"\")","v":"Praha, Česko"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!E6=\"\",\"\",ZOZNAM!E6),\"\")","v":1},{"$f":"IF($A15<>\"\",IF(ZOZNAM!F6=\"\",\"\",ZOZNAM!F6),\"\")","v":1},{"$f":"IF($A15<>\"\",IF(ZOZNAM!G6=\"\",\"\",ZOZNAM!G6),\"\")","v":"2019-02-27"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!H6=\"\",\"\",ZOZNAM!H6),\"\")","v":"2019-02-27"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!I6=\"\",\"\",ZOZNAM!I6),\"\")","v":"240 EUR"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!J6=\"\",\"\",ZOZNAM!J6),\"\")","v":""},{"$f":"IF($A15<>\"\",IF(ZOZNAM!K6=\"\",\"\",ZOZNAM!K6),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!L6=\"\",\"\",ZOZNAM!L6),\"\")","v":"This course deals with verification of correctness and suitability of linear regression model. It extends the model possibilities for refining the description of relationships and offers a diagnostic-predictive apparatus. It deals with categorized predictors and analysis of their influence on dependent variable, nonlinear and interaction members in the equation. Methods of model evaluation by means of residues and characteristics of influence of individual observations. Predictive role of regression equations and valuation of their prediction force so that the resulting equations correspond to the data reality."},{"$f":"IF($A15<>\"\",IF(ZOZNAM!M6=\"\",\"\",ZOZNAM!M6),\"\")","v":""},{"$f":"IF($A15<>\"\",IF(ZOZNAM!N6=\"\",\"\",ZOZNAM!N6),\"\")","v":"nie"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!O6=\"\",\"\",ZOZNAM!O6),\"\")","v":"nie"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!P6=\"\",\"\",ZOZNAM!P6),\"\")","v":1.9},{"$f":"IF($A15<>\"\",IF(ZOZNAM!Q6=\"\",\"\",ZOZNAM!Q6),\"\")","v":2},{"$f":"IF($A15<>\"\",IF(ZOZNAM!R6=\"\",\"\",ZOZNAM!R6),\"\")","v":2},{"$f":"IF($A15<>\"\",IF(ZOZNAM!S6=\"\",\"\",ZOZNAM!S6),\"\")","v":"Pokročilým"},{"$f":"IF($A15<>\"\",IF(ZOZNAM!T6=\"\",\"\",ZOZNAM!T6),\"\")","v":"Kurz by si zaslúžil väčší časový prídel. Pre využitie kurzu je ideálne ak zamestnanec pracuje pravidelne s SPSS a so štatistickými modelmi."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C7)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C7)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C7)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C7)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C7)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C7)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L7)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L7)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L7)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L7)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L7)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L7)),FALSE))),ZOZNAM!G7>=$C$9),ZOZNAM!A7,\"\")","v":"AC103"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!B7=\"\",\"\",ZOZNAM!B7),\"\")","v":"ACREA CR"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!C7=\"\",\"\",ZOZNAM!C7),\"\")","v":"Základy statistiky pro analýzu dat"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!D7=\"\",\"\",ZOZNAM!D7),\"\")","v":"Praha, Česko"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!E7=\"\",\"\",ZOZNAM!E7),\"\")","v":3},{"$f":"IF($A16<>\"\",IF(ZOZNAM!F7=\"\",\"\",ZOZNAM!F7),\"\")","v":3},{"$f":"IF($A16<>\"\",IF(ZOZNAM!G7=\"\",\"\",ZOZNAM!G7),\"\")","v":"2019-03-04"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!H7=\"\",\"\",ZOZNAM!H7),\"\")","v":"2019-03-06"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!I7=\"\",\"\",ZOZNAM!I7),\"\")","v":"576 EUR"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!J7=\"\",\"\",ZOZNAM!J7),\"\")","v":""},{"$f":"IF($A16<>\"\",IF(ZOZNAM!K7=\"\",\"\",ZOZNAM!K7),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!L7=\"\",\"\",ZOZNAM!L7),\"\")","v":"The aim of the course is to introduce the participants to the basics of statistical work and data analysis, to acquaint them with the concepts, methods and means for:\n• file description\n• comparing groups\n• association and correlation analysis.\nTopics are evenly distributed between analysis of numerical data and frequency (percent). Students will also learn how to work with professional statistical software IBM SPSS Statistics."},{"$f":"IF($A16<>\"\",IF(ZOZNAM!M7=\"\",\"\",ZOZNAM!M7),\"\")","v":""},{"$f":"IF($A16<>\"\",IF(ZOZNAM!N7=\"\",\"\",ZOZNAM!N7),\"\")","v":"nie"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!O7=\"\",\"\",ZOZNAM!O7),\"\")","v":"nie"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!P7=\"\",\"\",ZOZNAM!P7),\"\")","v":1.9},{"$f":"IF($A16<>\"\",IF(ZOZNAM!Q7=\"\",\"\",ZOZNAM!Q7),\"\")","v":2},{"$f":"IF($A16<>\"\",IF(ZOZNAM!R7=\"\",\"\",ZOZNAM!R7),\"\")","v":1},{"$f":"IF($A16<>\"\",IF(ZOZNAM!S7=\"\",\"\",ZOZNAM!S7),\"\")","v":"Začiatočníkom"},{"$f":"IF($A16<>\"\",IF(ZOZNAM!T7=\"\",\"\",ZOZNAM!T7),\"\")","v":"Kurz bol vyvážený z hľadiska teórie a praxe , poskytol rozšírenie vedomostí aj mimo pracovnej náplne. Pedagógovia boli dobrí aj ako odborníci aj ako učitelia."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C8)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C8)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C8)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C8)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C8)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C8)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L8)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L8)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L8)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L8)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L8)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L8)),FALSE))),ZOZNAM!G8>=$C$9),ZOZNAM!A8,\"\")","v":"AC205"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!B8=\"\",\"\",ZOZNAM!B8),\"\")","v":"ACREA CR"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!C8=\"\",\"\",ZOZNAM!C8),\"\")","v":"Seskupovací (klastrová) analýza"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!D8=\"\",\"\",ZOZNAM!D8),\"\")","v":"Praha, Česko"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!E8=\"\",\"\",ZOZNAM!E8),\"\")","v":1},{"$f":"IF($A17<>\"\",IF(ZOZNAM!F8=\"\",\"\",ZOZNAM!F8),\"\")","v":1},{"$f":"IF($A17<>\"\",IF(ZOZNAM!G8=\"\",\"\",ZOZNAM!G8),\"\")","v":"2019-04-02"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!H8=\"\",\"\",ZOZNAM!H8),\"\")","v":"2019-04-02"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!I8=\"\",\"\",ZOZNAM!I8),\"\")","v":"200 EUR"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!J8=\"\",\"\",ZOZNAM!J8),\"\")","v":""},{"$f":"IF($A17<>\"\",IF(ZOZNAM!K8=\"\",\"\",ZOZNAM!K8),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/seskupovaci-analyza/"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!L8=\"\",\"\",ZOZNAM!L8),\"\")","v":"The aim of the course is to acquaint students with the principles of basic grouping methods (hierarchical grouping, K means and two-stage grouping) and to show the possibilities of their use. Emphasis is placed on practical application of methods, on understanding and interpreting results and selecting the appropriate method for the problem. The mathematical aspects of the model and algorithms are included only to explain the meaning and principles of clustering.\n\nParticipants will learn to understand the principle of grouping and learn to apply the most commonly used clustering methods."},{"$f":"IF($A17<>\"\",IF(ZOZNAM!M8=\"\",\"\",ZOZNAM!M8),\"\")","v":""},{"$f":"IF($A17<>\"\",IF(ZOZNAM!N8=\"\",\"\",ZOZNAM!N8),\"\")","v":"nie"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!O8=\"\",\"\",ZOZNAM!O8),\"\")","v":"nie"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!P8=\"\",\"\",ZOZNAM!P8),\"\")","v":1.9},{"$f":"IF($A17<>\"\",IF(ZOZNAM!Q8=\"\",\"\",ZOZNAM!Q8),\"\")","v":1},{"$f":"IF($A17<>\"\",IF(ZOZNAM!R8=\"\",\"\",ZOZNAM!R8),\"\")","v":2},{"$f":"IF($A17<>\"\",IF(ZOZNAM!S8=\"\",\"\",ZOZNAM!S8),\"\")","v":"Pokročilým"},{"$f":"IF($A17<>\"\",IF(ZOZNAM!T8=\"\",\"\",ZOZNAM!T8),\"\")","v":"Teoretické vedomosti boli vhodne vyvážené praktickými cvičeniami. Príklady sa zameriavali na komerčnú prax - telefónne spoločnosti, poisťovne, životnú úroveň, atď. využívaný bol SW IBM, čo účastníci považovali za nevýhodu kurzu (nepoužívajú ho na pracovisku)."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C9)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C9)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C9)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C9)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C9)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C9)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L9)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L9)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L9)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L9)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L9)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L9)),FALSE))),ZOZNAM!G9>=$C$9),ZOZNAM!A9,\"\")","v":"AC202"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!B9=\"\",\"\",ZOZNAM!B9),\"\")","v":"ACREA CR"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!C9=\"\",\"\",ZOZNAM!C9),\"\")","v":"IRT modely - Teorie a aplikace"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!D9=\"\",\"\",ZOZNAM!D9),\"\")","v":"Praha, Česko"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!E9=\"\",\"\",ZOZNAM!E9),\"\")","v":1},{"$f":"IF($A18<>\"\",IF(ZOZNAM!F9=\"\",\"\",ZOZNAM!F9),\"\")","v":1},{"$f":"IF($A18<>\"\",IF(ZOZNAM!G9=\"\",\"\",ZOZNAM!G9),\"\")","v":"2019-05-21"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!H9=\"\",\"\",ZOZNAM!H9),\"\")","v":"2019-05-21"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!I9=\"\",\"\",ZOZNAM!I9),\"\")","v":"245 EUR"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!J9=\"\",\"\",ZOZNAM!J9),\"\")","v":""},{"$f":"IF($A18<>\"\",IF(ZOZNAM!K9=\"\",\"\",ZOZNAM!K9),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/irt-modely/"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!L9=\"\",\"\",ZOZNAM!L9),\"\")","v":"Learning outcomes of the course is to acquaint the participants with the basic theoretical background of IRT models, to show the advantages against the classical theory of testing and in the practical part to teach them to use the basic 1-, 2- and 3-parametric model, which means to apply the model, evaluate it including evaluation of individual items how to determine the level of knowledge or attitudes for an individual respondent and how to interpret it meaningfully. Attention will be paid to more complicated IRT models. An integral part of the course will be an example of linking IBM SPSS Statistics and R."},{"$f":"IF($A18<>\"\",IF(ZOZNAM!M9=\"\",\"\",ZOZNAM!M9),\"\")","v":""},{"$f":"IF($A18<>\"\",IF(ZOZNAM!N9=\"\",\"\",ZOZNAM!N9),\"\")","v":"nie"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!O9=\"\",\"\",ZOZNAM!O9),\"\")","v":"nie"},{"$f":"IF($A18<>\"\",IF(ZOZNAM!P9=\"\",\"\",ZOZNAM!P9),\"\")","v":1.9},{"$f":"IF($A18<>\"\",IF(ZOZNAM!Q9=\"\",\"\",ZOZNAM!Q9),\"\")","v":""},{"$f":"IF($A18<>\"\",IF(ZOZNAM!R9=\"\",\"\",ZOZNAM!R9),\"\")","v":""},{"$f":"IF($A18<>\"\",IF(ZOZNAM!S9=\"\",\"\",ZOZNAM!S9),\"\")","v":""},{"$f":"IF($A18<>\"\",IF(ZOZNAM!T9=\"\",\"\",ZOZNAM!T9),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C10)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C10)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C10)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C10)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C10)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C10)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L10)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L10)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L10)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L10)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L10)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L10)),FALSE))),ZOZNAM!G10>=$C$9),ZOZNAM!A10,\"\")","v":"AC201"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!B10=\"\",\"\",ZOZNAM!B10),\"\")","v":"ACREA CR"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!C10=\"\",\"\",ZOZNAM!C10),\"\")","v":"Analýza rozptylu - přístupy k odhalování příčin a vlivů"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!D10=\"\",\"\",ZOZNAM!D10),\"\")","v":"Praha, Česko"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!E10=\"\",\"\",ZOZNAM!E10),\"\")","v":2},{"$f":"IF($A19<>\"\",IF(ZOZNAM!F10=\"\",\"\",ZOZNAM!F10),\"\")","v":2},{"$f":"IF($A19<>\"\",IF(ZOZNAM!G10=\"\",\"\",ZOZNAM!G10),\"\")","v":"2019-05-27"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!H10=\"\",\"\",ZOZNAM!H10),\"\")","v":"2019-05-28"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!I10=\"\",\"\",ZOZNAM!I10),\"\")","v":"430 EUR"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!J10=\"\",\"\",ZOZNAM!J10),\"\")","v":""},{"$f":"IF($A19<>\"\",IF(ZOZNAM!K10=\"\",\"\",ZOZNAM!K10),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!L10=\"\",\"\",ZOZNAM!L10),\"\")","v":"The courset intoduces participants to the basic principles of method Analysis of variance (analysis of variance, ANOVA). The course is focused mainly on the analysis of variance of single and double classification, testing of more detailed hypotheses on the averages in groups using contrasts and post hoc tests and on the analysis of covariance."},{"$f":"IF($A19<>\"\",IF(ZOZNAM!M10=\"\",\"\",ZOZNAM!M10),\"\")","v":""},{"$f":"IF($A19<>\"\",IF(ZOZNAM!N10=\"\",\"\",ZOZNAM!N10),\"\")","v":"nie"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!O10=\"\",\"\",ZOZNAM!O10),\"\")","v":"nie"},{"$f":"IF($A19<>\"\",IF(ZOZNAM!P10=\"\",\"\",ZOZNAM!P10),\"\")","v":1.9},{"$f":"IF($A19<>\"\",IF(ZOZNAM!Q10=\"\",\"\",ZOZNAM!Q10),\"\")","v":""},{"$f":"IF($A19<>\"\",IF(ZOZNAM!R10=\"\",\"\",ZOZNAM!R10),\"\")","v":""},{"$f":"IF($A19<>\"\",IF(ZOZNAM!S10=\"\",\"\",ZOZNAM!S10),\"\")","v":""},{"$f":"IF($A19<>\"\",IF(ZOZNAM!T10=\"\",\"\",ZOZNAM!T10),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C11)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C11)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C11)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C11)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C11)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C11)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L11)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L11)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L11)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L11)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L11)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L11)),FALSE))),ZOZNAM!G11>=$C$9),ZOZNAM!A11,\"\")","v":"AC203"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!B11=\"\",\"\",ZOZNAM!B11),\"\")","v":"ACREA CR"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!C11=\"\",\"\",ZOZNAM!C11),\"\")","v":"Logistická regrese"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!D11=\"\",\"\",ZOZNAM!D11),\"\")","v":"Praha, Česko"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!E11=\"\",\"\",ZOZNAM!E11),\"\")","v":1},{"$f":"IF($A20<>\"\",IF(ZOZNAM!F11=\"\",\"\",ZOZNAM!F11),\"\")","v":1},{"$f":"IF($A20<>\"\",IF(ZOZNAM!G11=\"\",\"\",ZOZNAM!G11),\"\")","v":"2019-06-03"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!H11=\"\",\"\",ZOZNAM!H11),\"\")","v":"2019-06-03"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!I11=\"\",\"\",ZOZNAM!I11),\"\")","v":"200 EUR"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!J11=\"\",\"\",ZOZNAM!J11),\"\")","v":""},{"$f":"IF($A20<>\"\",IF(ZOZNAM!K11=\"\",\"\",ZOZNAM!K11),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!L11=\"\",\"\",ZOZNAM!L11),\"\")","v":"The aim of the course is to acquaint participants with the logistic regression method, its advantages and disadvantages. Emphasis is placed on the interpretation of the model itself and its outputs.\n\nParticipants will learn to prepare data, build a regression model of a categorical variable, and interpret its outputs."},{"$f":"IF($A20<>\"\",IF(ZOZNAM!M11=\"\",\"\",ZOZNAM!M11),\"\")","v":""},{"$f":"IF($A20<>\"\",IF(ZOZNAM!N11=\"\",\"\",ZOZNAM!N11),\"\")","v":"nie"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!O11=\"\",\"\",ZOZNAM!O11),\"\")","v":"nie"},{"$f":"IF($A20<>\"\",IF(ZOZNAM!P11=\"\",\"\",ZOZNAM!P11),\"\")","v":1.9},{"$f":"IF($A20<>\"\",IF(ZOZNAM!Q11=\"\",\"\",ZOZNAM!Q11),\"\")","v":""},{"$f":"IF($A20<>\"\",IF(ZOZNAM!R11=\"\",\"\",ZOZNAM!R11),\"\")","v":""},{"$f":"IF($A20<>\"\",IF(ZOZNAM!S11=\"\",\"\",ZOZNAM!S11),\"\")","v":""},{"$f":"IF($A20<>\"\",IF(ZOZNAM!T11=\"\",\"\",ZOZNAM!T11),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C12)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C12)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C12)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C12)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C12)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C12)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L12)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L12)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L12)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L12)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L12)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L12)),FALSE))),ZOZNAM!G12>=$C$9),ZOZNAM!A12,\"\")","v":"AC204"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!B12=\"\",\"\",ZOZNAM!B12),\"\")","v":"ACREA CR"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!C12=\"\",\"\",ZOZNAM!C12),\"\")","v":"Plánovaní výzkumu: Reprezentativa"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!D12=\"\",\"\",ZOZNAM!D12),\"\")","v":"Praha, Česko"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!E12=\"\",\"\",ZOZNAM!E12),\"\")","v":2},{"$f":"IF($A21<>\"\",IF(ZOZNAM!F12=\"\",\"\",ZOZNAM!F12),\"\")","v":2},{"$f":"IF($A21<>\"\",IF(ZOZNAM!G12=\"\",\"\",ZOZNAM!G12),\"\")","v":"2019-06-10"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!H12=\"\",\"\",ZOZNAM!H12),\"\")","v":"2019-06-11"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!I12=\"\",\"\",ZOZNAM!I12),\"\")","v":"430 EUR"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!J12=\"\",\"\",ZOZNAM!J12),\"\")","v":""},{"$f":"IF($A21<>\"\",IF(ZOZNAM!K12=\"\",\"\",ZOZNAM!K12),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/planovani-vyzkumu-reprezentativita/"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!L12=\"\",\"\",ZOZNAM!L12),\"\")","v":"The course will provide students theoretically and practically with the basic phases of planning and implementation of sample surveys. Participants will learn to work with different types of selections and identify situations where it is appropriate to use these methods. They will learn how to ensure representativeness of selection. They will get acquainted with the principle and design of design and poststratification scales and they will learn to evaluate the research, obtain the necessary estimates and correctly express their accuracy based on the design of the selection. Participants will work with professional statistical software IBM SPSS Statistics."},{"$f":"IF($A21<>\"\",IF(ZOZNAM!M12=\"\",\"\",ZOZNAM!M12),\"\")","v":""},{"$f":"IF($A21<>\"\",IF(ZOZNAM!N12=\"\",\"\",ZOZNAM!N12),\"\")","v":"nie"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!O12=\"\",\"\",ZOZNAM!O12),\"\")","v":"nie"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!P12=\"\",\"\",ZOZNAM!P12),\"\")","v":1.9},{"$f":"IF($A21<>\"\",IF(ZOZNAM!Q12=\"\",\"\",ZOZNAM!Q12),\"\")","v":2.5},{"$f":"IF($A21<>\"\",IF(ZOZNAM!R12=\"\",\"\",ZOZNAM!R12),\"\")","v":2},{"$f":"IF($A21<>\"\",IF(ZOZNAM!S12=\"\",\"\",ZOZNAM!S12),\"\")","v":"Pokročilým"},{"$f":"IF($A21<>\"\",IF(ZOZNAM!T12=\"\",\"\",ZOZNAM!T12),\"\")","v":"Na účely kurzu je potrebné ovládať štatistiku, je úzko zameraný. Praktická časť v SPSS ale väčšina princípov je aplikovateľná aj v iných SW. Účastníci ocenili aj jednoduchú interakciu s prednášajúcimi."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C13)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C13)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C13)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C13)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C13)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C13)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L13)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L13)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L13)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L13)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L13)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L13)),FALSE))),ZOZNAM!G13>=$C$9),ZOZNAM!A13,\"\")","v":"AE017"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!B13=\"\",\"\",ZOZNAM!B13),\"\")","v":"AdeptEvents"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!C13=\"\",\"\",ZOZNAM!C13),\"\")","v":"A Business-oriented Approach to Data Modelling"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!D13=\"\",\"\",ZOZNAM!D13),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!E13=\"\",\"\",ZOZNAM!E13),\"\")","v":2},{"$f":"IF($A22<>\"\",IF(ZOZNAM!F13=\"\",\"\",ZOZNAM!F13),\"\")","v":2},{"$f":"IF($A22<>\"\",IF(ZOZNAM!G13=\"\",\"\",ZOZNAM!G13),\"\")","v":"2019-06-03"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!H13=\"\",\"\",ZOZNAM!H13),\"\")","v":"2019-06-04"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!I13=\"\",\"\",ZOZNAM!I13),\"\")","v":"1 450 EUR"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!J13=\"\",\"\",ZOZNAM!J13),\"\")","v":""},{"$f":"IF($A22<>\"\",IF(ZOZNAM!K13=\"\",\"\",ZOZNAM!K13),\"\")","v":"https://adeptevents.nl/event/data-modelling-a-business-oriented-approach-to-entity-relationship-modelling?lang=en"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!L13=\"\",\"\",ZOZNAM!L13),\"\")","v":"This workshop introduces entity-relationship modelling from a non-technical perspective, thoroughly covering the basic components of a data model – entities, relationships, attributes, and identifiers.  In addition to showing how and when to use these components in developing a data model, it includes far more advice on the process of developing a data model than other courses, including specific methods for getting subject matter experts involved and maintaining their commitment. The content is presented within the context of a clearly-defined, three-phase data modelling methodology that supports progressive detail and precision."},{"$f":"IF($A22<>\"\",IF(ZOZNAM!M13=\"\",\"\",ZOZNAM!M13),\"\")","v":"The Early Bird rate of € 1.305,00 expires after 4 May 2019."},{"$f":"IF($A22<>\"\",IF(ZOZNAM!N13=\"\",\"\",ZOZNAM!N13),\"\")","v":"nie"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!O13=\"\",\"\",ZOZNAM!O13),\"\")","v":"nie"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!P13=\"\",\"\",ZOZNAM!P13),\"\")","v":1.07},{"$f":"IF($A22<>\"\",IF(ZOZNAM!Q13=\"\",\"\",ZOZNAM!Q13),\"\")","v":1.5},{"$f":"IF($A22<>\"\",IF(ZOZNAM!R13=\"\",\"\",ZOZNAM!R13),\"\")","v":2},{"$f":"IF($A22<>\"\",IF(ZOZNAM!S13=\"\",\"\",ZOZNAM!S13),\"\")","v":"Začiatočníkom"},{"$f":"IF($A22<>\"\",IF(ZOZNAM!T13=\"\",\"\",ZOZNAM!T13),\"\")","v":"Výhodou kurzu je prax prevažujúca nad teóriou a pedagógovia-odborníci. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C14)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C14)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C14)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C14)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C14)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C14)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L14)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L14)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L14)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L14)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L14)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L14)),FALSE))),ZOZNAM!G14>=$C$9),ZOZNAM!A14,\"\")","v":"AE018"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!B14=\"\",\"\",ZOZNAM!B14),\"\")","v":"AdeptEvents"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!C14=\"\",\"\",ZOZNAM!C14),\"\")","v":"Working with Bussiness Processes"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!D14=\"\",\"\",ZOZNAM!D14),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!E14=\"\",\"\",ZOZNAM!E14),\"\")","v":2},{"$f":"IF($A23<>\"\",IF(ZOZNAM!F14=\"\",\"\",ZOZNAM!F14),\"\")","v":2},{"$f":"IF($A23<>\"\",IF(ZOZNAM!G14=\"\",\"\",ZOZNAM!G14),\"\")","v":"2019-06-05"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!H14=\"\",\"\",ZOZNAM!H14),\"\")","v":"2019-06-06"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!I14=\"\",\"\",ZOZNAM!I14),\"\")","v":"1 450 EUR"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!J14=\"\",\"\",ZOZNAM!J14),\"\")","v":""},{"$f":"IF($A23<>\"\",IF(ZOZNAM!K14=\"\",\"\",ZOZNAM!K14),\"\")","v":"http://adeptevents.nl/event/working-with-business-processes?lang=en"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!L14=\"\",\"\",ZOZNAM!L14),\"\")","v":"Proces Change in Agile Timeframes. - Participants will first learn exactly what a “business process” is, the key factors to consider when dealing with them, and the most common pitfalls and how to avoid them. On this foundation, the course moves on to specifying the scope and goals of a business process, modelling the current workflow, assessing it, and applying three critical process redesign techniques.\nCourse Topics:\n\n• Thinking in process terms – concepts, terminology, principles, and techniques\n• A three-phase approach to completing a process-oriented project\n• Framing the process – discovering a business process, and clarifying its purpose and scope\n• Initial assessment of the “as-is” process and goal-setting for the “to-be” process\n• Modelling process workflow – practical tips and techniques for using swimlane diagrams\n• Controlling detail – three levels of workflow model\n• When to stop modelling\n• Applying workflow modelling to the as-is process – facilitating a workflow session\n• Final assessment of the as-is process – a framework for assessment, relation to redesign\n• Characterising the to-be process – generating creative improvements and assessing them\n• Wrap-up – summary, tips, and resources\n"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!M14=\"\",\"\",ZOZNAM!M14),\"\")","v":"The Early Bird rate of € 1.305,00 expires after 4 May 2019."},{"$f":"IF($A23<>\"\",IF(ZOZNAM!N14=\"\",\"\",ZOZNAM!N14),\"\")","v":"nie"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!O14=\"\",\"\",ZOZNAM!O14),\"\")","v":"nie"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!P14=\"\",\"\",ZOZNAM!P14),\"\")","v":1.07},{"$f":"IF($A23<>\"\",IF(ZOZNAM!Q14=\"\",\"\",ZOZNAM!Q14),\"\")","v":1},{"$f":"IF($A23<>\"\",IF(ZOZNAM!R14=\"\",\"\",ZOZNAM!R14),\"\")","v":3},{"$f":"IF($A23<>\"\",IF(ZOZNAM!S14=\"\",\"\",ZOZNAM!S14),\"\")","v":"Začiatočníkom"},{"$f":"IF($A23<>\"\",IF(ZOZNAM!T14=\"\",\"\",ZOZNAM!T14),\"\")","v":"Nedostatkom kurzu bol nedostatočný priestor na tréning teoretických znalostí v praxi. Pedagógovia boli odborníci."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C15)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C15)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C15)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C15)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C15)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C15)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L15)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L15)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L15)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L15)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L15)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L15)),FALSE))),ZOZNAM!G15>=$C$9),ZOZNAM!A15,\"\")","v":"AE019"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!B15=\"\",\"\",ZOZNAM!B15),\"\")","v":"AdeptEvents"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!C15=\"\",\"\",ZOZNAM!C15),\"\")","v":"Advanced data modelling"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!D15=\"\",\"\",ZOZNAM!D15),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!E15=\"\",\"\",ZOZNAM!E15),\"\")","v":2},{"$f":"IF($A24<>\"\",IF(ZOZNAM!F15=\"\",\"\",ZOZNAM!F15),\"\")","v":2},{"$f":"IF($A24<>\"\",IF(ZOZNAM!G15=\"\",\"\",ZOZNAM!G15),\"\")","v":"2019-11-27"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!H15=\"\",\"\",ZOZNAM!H15),\"\")","v":"2019-11-28"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!I15=\"\",\"\",ZOZNAM!I15),\"\")","v":"1 450 EUR"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!J15=\"\",\"\",ZOZNAM!J15),\"\")","v":""},{"$f":"IF($A24<>\"\",IF(ZOZNAM!K15=\"\",\"\",ZOZNAM!K15),\"\")","v":"https://adeptevents.nl/event/advanced-data-modelling?lang=en"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!L15=\"\",\"\",ZOZNAM!L15),\"\")","v":"Three main themes will be explored:\n\nThe technical side of data modelling – getting better at modelling difficult, complex situations\nDeveloping and using data models in new ways, and in conjunction with other techniques\nThe human side of data modelling – improving processes and communication skills\nTopics will be covered with a discussion of the issue, a review of techniques, guidelines and examples, a brief workshop exercise, and a group solution and debriefing. The emphasis is on maximizing the delivery of content while keeping everyone engaged – the workshop has recently been extensively redesigned to focus on the topics that data modelling professionals have continually rated as the most concrete and useful."},{"$f":"IF($A24<>\"\",IF(ZOZNAM!M15=\"\",\"\",ZOZNAM!M15),\"\")","v":"The Early Bird rate of € 1.305,00 expires after 4 May 2019."},{"$f":"IF($A24<>\"\",IF(ZOZNAM!N15=\"\",\"\",ZOZNAM!N15),\"\")","v":"nie"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!O15=\"\",\"\",ZOZNAM!O15),\"\")","v":"nie"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!P15=\"\",\"\",ZOZNAM!P15),\"\")","v":1.07},{"$f":"IF($A24<>\"\",IF(ZOZNAM!Q15=\"\",\"\",ZOZNAM!Q15),\"\")","v":1},{"$f":"IF($A24<>\"\",IF(ZOZNAM!R15=\"\",\"\",ZOZNAM!R15),\"\")","v":2},{"$f":"IF($A24<>\"\",IF(ZOZNAM!S15=\"\",\"\",ZOZNAM!S15),\"\")","v":"Pokročilým"},{"$f":"IF($A24<>\"\",IF(ZOZNAM!T15=\"\",\"\",ZOZNAM!T15),\"\")","v":"Kurz predovšetkým pre dátových analytikov, výborný podiel teórie a praktických cvičení."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C16)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C16)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C16)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C16)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C16)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C16)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L16)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L16)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L16)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L16)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L16)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L16)),FALSE))),ZOZNAM!G16>=$C$9),ZOZNAM!A16,\"\")","v":"AE020"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!B16=\"\",\"\",ZOZNAM!B16),\"\")","v":"AdeptEvents"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!C16=\"\",\"\",ZOZNAM!C16),\"\")","v":"Machine learning & advanced analytics"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!D16=\"\",\"\",ZOZNAM!D16),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!E16=\"\",\"\",ZOZNAM!E16),\"\")","v":2},{"$f":"IF($A25<>\"\",IF(ZOZNAM!F16=\"\",\"\",ZOZNAM!F16),\"\")","v":2},{"$f":"IF($A25<>\"\",IF(ZOZNAM!G16=\"\",\"\",ZOZNAM!G16),\"\")","v":"2019-12-10"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!H16=\"\",\"\",ZOZNAM!H16),\"\")","v":"2019-12-11"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!I16=\"\",\"\",ZOZNAM!I16),\"\")","v":"1 450 EUR"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!J16=\"\",\"\",ZOZNAM!J16),\"\")","v":""},{"$f":"IF($A25<>\"\",IF(ZOZNAM!K16=\"\",\"\",ZOZNAM!K16),\"\")","v":"https://adeptevents.nl/event/predictive-advanced-analytics?lang=en#general"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!L16=\"\",\"\",ZOZNAM!L16),\"\")","v":"This new 2-day seminar looks at the need to capture new data sources to add to what we already know and use machine learning to automatically discover, profile and catalog what is in these data sources. It then looks at how machine learning and advanced analytical techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage."},{"$f":"IF($A25<>\"\",IF(ZOZNAM!M16=\"\",\"\",ZOZNAM!M16),\"\")","v":"The Early Bird rate of € 1.305,00 expires after 4 May 2019."},{"$f":"IF($A25<>\"\",IF(ZOZNAM!N16=\"\",\"\",ZOZNAM!N16),\"\")","v":"nie"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!O16=\"\",\"\",ZOZNAM!O16),\"\")","v":"nie"},{"$f":"IF($A25<>\"\",IF(ZOZNAM!P16=\"\",\"\",ZOZNAM!P16),\"\")","v":1.07},{"$f":"IF($A25<>\"\",IF(ZOZNAM!Q16=\"\",\"\",ZOZNAM!Q16),\"\")","v":""},{"$f":"IF($A25<>\"\",IF(ZOZNAM!R16=\"\",\"\",ZOZNAM!R16),\"\")","v":""},{"$f":"IF($A25<>\"\",IF(ZOZNAM!S16=\"\",\"\",ZOZNAM!S16),\"\")","v":""},{"$f":"IF($A25<>\"\",IF(ZOZNAM!T16=\"\",\"\",ZOZNAM!T16),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C17)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C17)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C17)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C17)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C17)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C17)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L17)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L17)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L17)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L17)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L17)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L17)),FALSE))),ZOZNAM!G17>=$C$9),ZOZNAM!A17,\"\")","v":"AM001"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!B17=\"\",\"\",ZOZNAM!B17),\"\")","v":"Aix-Marseille University"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!C17=\"\",\"\",ZOZNAM!C17),\"\")","v":"AMSE Summer School on Search and Matching"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!D17=\"\",\"\",ZOZNAM!D17),\"\")","v":"Marseille, Francúzsko"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!E17=\"\",\"\",ZOZNAM!E17),\"\")","v":3},{"$f":"IF($A26<>\"\",IF(ZOZNAM!F17=\"\",\"\",ZOZNAM!F17),\"\")","v":3},{"$f":"IF($A26<>\"\",IF(ZOZNAM!G17=\"\",\"\",ZOZNAM!G17),\"\")","v":"2019-07-02"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!H17=\"\",\"\",ZOZNAM!H17),\"\")","v":"2019-07-04"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!I17=\"\",\"\",ZOZNAM!I17),\"\")","v":"930 EUR"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!J17=\"\",\"\",ZOZNAM!J17),\"\")","v":"2019-06-03"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!K17=\"\",\"\",ZOZNAM!K17),\"\")","v":"https://sumschoolamse.sciencesconf.org/"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!L17=\"\",\"\",ZOZNAM!L17),\"\")","v":"Various forms of imperfections or “frictions” characterise most real-world transactions. In labour markets, frictions can explain unemployment and wage inequalities. In real estate, complexities in the matching of buyers and sellers can have important effects on housing prices. These are some of the key applications of search and matching models in economics. During the three days of the Summer School, students will get rigorous and in-depth exposure to the most recent theories and empirical methods in the field. "},{"$f":"IF($A26<>\"\",IF(ZOZNAM!M17=\"\",\"\",ZOZNAM!M17),\"\")","v":"Early bird (15th April) - 800 EUR"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!N17=\"\",\"\",ZOZNAM!N17),\"\")","v":"áno"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!O17=\"\",\"\",ZOZNAM!O17),\"\")","v":"nie"},{"$f":"IF($A26<>\"\",IF(ZOZNAM!P17=\"\",\"\",ZOZNAM!P17),\"\")","v":""},{"$f":"IF($A26<>\"\",IF(ZOZNAM!Q17=\"\",\"\",ZOZNAM!Q17),\"\")","v":""},{"$f":"IF($A26<>\"\",IF(ZOZNAM!R17=\"\",\"\",ZOZNAM!R17),\"\")","v":""},{"$f":"IF($A26<>\"\",IF(ZOZNAM!S17=\"\",\"\",ZOZNAM!S17),\"\")","v":""},{"$f":"IF($A26<>\"\",IF(ZOZNAM!T17=\"\",\"\",ZOZNAM!T17),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C18)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C18)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C18)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C18)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C18)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C18)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L18)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L18)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L18)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L18)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L18)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L18)),FALSE))),ZOZNAM!G18>=$C$9),ZOZNAM!A18,\"\")","v":"BA125"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!B18=\"\",\"\",ZOZNAM!B18),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!C18=\"\",\"\",ZOZNAM!C18),\"\")","v":"Data Science Winter School"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!D18=\"\",\"\",ZOZNAM!D18),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!E18=\"\",\"\",ZOZNAM!E18),\"\")","v":0},{"$f":"IF($A27<>\"\",IF(ZOZNAM!F18=\"\",\"\",ZOZNAM!F18),\"\")","v":2},{"$f":"IF($A27<>\"\",IF(ZOZNAM!G18=\"\",\"\",ZOZNAM!G18),\"\")","v":"2019-01-12"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!H18=\"\",\"\",ZOZNAM!H18),\"\")","v":"2019-01-13"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!I18=\"\",\"\",ZOZNAM!I18),\"\")","v":"1 750 EUR"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!J18=\"\",\"\",ZOZNAM!J18),\"\")","v":"2018-12-28"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!K18=\"\",\"\",ZOZNAM!K18),\"\")","v":"https://www.barcelonagse.eu/sites/default/files/brochure-data-science-winter-school.pdf"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!L18=\"\",\"\",ZOZNAM!L18),\"\")","v":"This intensive winter course will provide a quick, condensed and hands-on\nintroduction to programming and data analysis with\nPython, fundamental methods in modern Statistics\nand Machine Learning and the tools in Python for\nimplementing them."},{"$f":"IF($A27<>\"\",IF(ZOZNAM!M18=\"\",\"\",ZOZNAM!M18),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!N18=\"\",\"\",ZOZNAM!N18),\"\")","v":"nie "},{"$f":"IF($A27<>\"\",IF(ZOZNAM!O18=\"\",\"\",ZOZNAM!O18),\"\")","v":"nie "},{"$f":"IF($A27<>\"\",IF(ZOZNAM!P18=\"\",\"\",ZOZNAM!P18),\"\")","v":1.99},{"$f":"IF($A27<>\"\",IF(ZOZNAM!Q18=\"\",\"\",ZOZNAM!Q18),\"\")","v":2},{"$f":"IF($A27<>\"\",IF(ZOZNAM!R18=\"\",\"\",ZOZNAM!R18),\"\")","v":1},{"$f":"IF($A27<>\"\",IF(ZOZNAM!S18=\"\",\"\",ZOZNAM!S18),\"\")","v":"Pokročilým"},{"$f":"IF($A27<>\"\",IF(ZOZNAM!T18=\"\",\"\",ZOZNAM!T18),\"\")","v":"Teoreticky orientovaný kurz určený pre analytikov - modelárov. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C19)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C19)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C19)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C19)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C19)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C19)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L19)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L19)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L19)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L19)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L19)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L19)),FALSE))),ZOZNAM!G19>=$C$9),ZOZNAM!A19,\"\")","v":"BA109"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!B19=\"\",\"\",ZOZNAM!B19),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!C19=\"\",\"\",ZOZNAM!C19),\"\")","v":"Banking Theory (Banking Summer School)"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!D19=\"\",\"\",ZOZNAM!D19),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!E19=\"\",\"\",ZOZNAM!E19),\"\")","v":4},{"$f":"IF($A28<>\"\",IF(ZOZNAM!F19=\"\",\"\",ZOZNAM!F19),\"\")","v":5},{"$f":"IF($A28<>\"\",IF(ZOZNAM!G19=\"\",\"\",ZOZNAM!G19),\"\")","v":"2019-07-01"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!H19=\"\",\"\",ZOZNAM!H19),\"\")","v":"2019-07-05"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!I19=\"\",\"\",ZOZNAM!I19),\"\")","v":"1 200 EUR"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!J19=\"\",\"\",ZOZNAM!J19),\"\")","v":""},{"$f":"IF($A28<>\"\",IF(ZOZNAM!K19=\"\",\"\",ZOZNAM!K19),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/banking"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!L19=\"\",\"\",ZOZNAM!L19),\"\")","v":"The objectives of this summer course are to understand the role of financial institutions in the economy, how imperfect information affects banks’ incentives and roots of banking crises. \nCourse is focused on topics: \n- Why do financial intermediaries exist?\n- Fragility: liquidity and solvency\n- Distorted incentives: overhang and risk-shifting in banking\n- Financial intermediation in macroeconomic models\n- Banking regulation"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!M19=\"\",\"\",ZOZNAM!M19),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!N19=\"\",\"\",ZOZNAM!N19),\"\")","v":"nie"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!O19=\"\",\"\",ZOZNAM!O19),\"\")","v":"nie"},{"$f":"IF($A28<>\"\",IF(ZOZNAM!P19=\"\",\"\",ZOZNAM!P19),\"\")","v":1.99},{"$f":"IF($A28<>\"\",IF(ZOZNAM!Q19=\"\",\"\",ZOZNAM!Q19),\"\")","v":""},{"$f":"IF($A28<>\"\",IF(ZOZNAM!R19=\"\",\"\",ZOZNAM!R19),\"\")","v":""},{"$f":"IF($A28<>\"\",IF(ZOZNAM!S19=\"\",\"\",ZOZNAM!S19),\"\")","v":""},{"$f":"IF($A28<>\"\",IF(ZOZNAM!T19=\"\",\"\",ZOZNAM!T19),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C20)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C20)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C20)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C20)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C20)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C20)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L20)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L20)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L20)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L20)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L20)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L20)),FALSE))),ZOZNAM!G20>=$C$9),ZOZNAM!A20,\"\")","v":"BA111"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!B20=\"\",\"\",ZOZNAM!B20),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!C20=\"\",\"\",ZOZNAM!C20),\"\")","v":"Empirical Tools/Applications in Banking and Macro-Fincance (Banking Summer School)"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!D20=\"\",\"\",ZOZNAM!D20),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!E20=\"\",\"\",ZOZNAM!E20),\"\")","v":4},{"$f":"IF($A29<>\"\",IF(ZOZNAM!F20=\"\",\"\",ZOZNAM!F20),\"\")","v":5},{"$f":"IF($A29<>\"\",IF(ZOZNAM!G20=\"\",\"\",ZOZNAM!G20),\"\")","v":"2019-07-01"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!H20=\"\",\"\",ZOZNAM!H20),\"\")","v":"2019-07-05"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!I20=\"\",\"\",ZOZNAM!I20),\"\")","v":"1 200 EUR"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!J20=\"\",\"\",ZOZNAM!J20),\"\")","v":""},{"$f":"IF($A29<>\"\",IF(ZOZNAM!K20=\"\",\"\",ZOZNAM!K20),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/banking"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!L20=\"\",\"\",ZOZNAM!L20),\"\")","v":"The objective of this summer course is to present empirical applications of relevant questions for both banking theory and policy, mainly related to Systemic Risk, Crises, Macroprudential and Monetary Policy. An important objective is to read and understand scientific papers in empirical banking; to accomplish this objective, emphasis is placed on illustrating research methodologies used in empirical banking and learning the application of these methodologies to selected topics such as: \n\n- Credit cycles\n- Securities and credit registers; large datasets\n- Fire sales, market and funding liquidity\n- Bank capital and macroprudential regulation\n- Risk-taking and credit channels of monetary policy\n- Real effects of financial shocks\n- Moral hazard vs. behavioral based risk-taking\n- Secular stagnation, banking and debt crises\n- Interbank contagion, bank runs and systemic risk\n- Banking globalization\n- Capital controls and capital flows to emerging markets\n- Macro vs. micro prudential policy"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!M20=\"\",\"\",ZOZNAM!M20),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!N20=\"\",\"\",ZOZNAM!N20),\"\")","v":"nie"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!O20=\"\",\"\",ZOZNAM!O20),\"\")","v":"nie"},{"$f":"IF($A29<>\"\",IF(ZOZNAM!P20=\"\",\"\",ZOZNAM!P20),\"\")","v":1.99},{"$f":"IF($A29<>\"\",IF(ZOZNAM!Q20=\"\",\"\",ZOZNAM!Q20),\"\")","v":""},{"$f":"IF($A29<>\"\",IF(ZOZNAM!R20=\"\",\"\",ZOZNAM!R20),\"\")","v":""},{"$f":"IF($A29<>\"\",IF(ZOZNAM!S20=\"\",\"\",ZOZNAM!S20),\"\")","v":""},{"$f":"IF($A29<>\"\",IF(ZOZNAM!T20=\"\",\"\",ZOZNAM!T20),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C21)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C21)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C21)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C21)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C21)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C21)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L21)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L21)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L21)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L21)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L21)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L21)),FALSE))),ZOZNAM!G21>=$C$9),ZOZNAM!A21,\"\")","v":"BA114"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!B21=\"\",\"\",ZOZNAM!B21),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!C21=\"\",\"\",ZOZNAM!C21),\"\")","v":"An Introduction to the New Keynesian Framework and its Monetary Policy Applications (CREI Macroeconomics Summer School)"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!D21=\"\",\"\",ZOZNAM!D21),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!E21=\"\",\"\",ZOZNAM!E21),\"\")","v":4},{"$f":"IF($A30<>\"\",IF(ZOZNAM!F21=\"\",\"\",ZOZNAM!F21),\"\")","v":5},{"$f":"IF($A30<>\"\",IF(ZOZNAM!G21=\"\",\"\",ZOZNAM!G21),\"\")","v":"2019-07-01"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!H21=\"\",\"\",ZOZNAM!H21),\"\")","v":"2019-07-05"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!I21=\"\",\"\",ZOZNAM!I21),\"\")","v":"1 150 EUR"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!J21=\"\",\"\",ZOZNAM!J21),\"\")","v":""},{"$f":"IF($A30<>\"\",IF(ZOZNAM!K21=\"\",\"\",ZOZNAM!K21),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!L21=\"\",\"\",ZOZNAM!L21),\"\")","v":"The course will provide an introduction to the New Keynesian model and its implications for monetary policy. The list of topics covered is:\n1. The Basic New Keynesian Model\na. The Dynamic IS equation\nb. The New Keynesian Phillips Curve\nc. Dynamic Effects of Shocks\n\n2. Monetary Policy Design in the Basic New Keynesian Model\na. The Case of an Efficient Natural Equilibrium\nb. The Case of an Inefficient Natural Equilibrium\n\n3. Extensions and Implications\na. Nominal Wage Rigidities\nb. Unemployment"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!M21=\"\",\"\",ZOZNAM!M21),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!N21=\"\",\"\",ZOZNAM!N21),\"\")","v":"nie"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!O21=\"\",\"\",ZOZNAM!O21),\"\")","v":"nie"},{"$f":"IF($A30<>\"\",IF(ZOZNAM!P21=\"\",\"\",ZOZNAM!P21),\"\")","v":1.99},{"$f":"IF($A30<>\"\",IF(ZOZNAM!Q21=\"\",\"\",ZOZNAM!Q21),\"\")","v":""},{"$f":"IF($A30<>\"\",IF(ZOZNAM!R21=\"\",\"\",ZOZNAM!R21),\"\")","v":""},{"$f":"IF($A30<>\"\",IF(ZOZNAM!S21=\"\",\"\",ZOZNAM!S21),\"\")","v":""},{"$f":"IF($A30<>\"\",IF(ZOZNAM!T21=\"\",\"\",ZOZNAM!T21),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C22)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C22)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C22)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C22)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C22)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C22)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L22)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L22)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L22)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L22)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L22)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L22)),FALSE))),ZOZNAM!G22>=$C$9),ZOZNAM!A22,\"\")","v":"BA118"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!B22=\"\",\"\",ZOZNAM!B22),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!C22=\"\",\"\",ZOZNAM!C22),\"\")","v":"Numerical Methods for Fiscal and Monetary Policy Analysis (CREI Macroeconomics Summer School)"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!D22=\"\",\"\",ZOZNAM!D22),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!E22=\"\",\"\",ZOZNAM!E22),\"\")","v":4},{"$f":"IF($A31<>\"\",IF(ZOZNAM!F22=\"\",\"\",ZOZNAM!F22),\"\")","v":5},{"$f":"IF($A31<>\"\",IF(ZOZNAM!G22=\"\",\"\",ZOZNAM!G22),\"\")","v":"2019-07-01"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!H22=\"\",\"\",ZOZNAM!H22),\"\")","v":"2019-07-05"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!I22=\"\",\"\",ZOZNAM!I22),\"\")","v":"1 150 EUR"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!J22=\"\",\"\",ZOZNAM!J22),\"\")","v":""},{"$f":"IF($A31<>\"\",IF(ZOZNAM!K22=\"\",\"\",ZOZNAM!K22),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!L22=\"\",\"\",ZOZNAM!L22),\"\")","v":"This course will cover state-of-the-art techniques to solve and simulate modern macroeconomic models, with specific applications to models used for fiscal and monetary policy analysis. Course will cover topics of Introduction to local and global solution methods; \nSolution methods for modern monetary policy models, with zero-lower bound, financial constraints, heterogeneous agents, bubbles, etc.;\nSolution of optimal fiscal and monetary policy problems, with and without commitment ; and Solution of sovereign debt and default models."},{"$f":"IF($A31<>\"\",IF(ZOZNAM!M22=\"\",\"\",ZOZNAM!M22),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!N22=\"\",\"\",ZOZNAM!N22),\"\")","v":"nie"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!O22=\"\",\"\",ZOZNAM!O22),\"\")","v":"nie"},{"$f":"IF($A31<>\"\",IF(ZOZNAM!P22=\"\",\"\",ZOZNAM!P22),\"\")","v":1.99},{"$f":"IF($A31<>\"\",IF(ZOZNAM!Q22=\"\",\"\",ZOZNAM!Q22),\"\")","v":""},{"$f":"IF($A31<>\"\",IF(ZOZNAM!R22=\"\",\"\",ZOZNAM!R22),\"\")","v":""},{"$f":"IF($A31<>\"\",IF(ZOZNAM!S22=\"\",\"\",ZOZNAM!S22),\"\")","v":""},{"$f":"IF($A31<>\"\",IF(ZOZNAM!T22=\"\",\"\",ZOZNAM!T22),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C23)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C23)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C23)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C23)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C23)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C23)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L23)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L23)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L23)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L23)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L23)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L23)),FALSE))),ZOZNAM!G23>=$C$9),ZOZNAM!A23,\"\")","v":"BA119"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!B23=\"\",\"\",ZOZNAM!B23),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!C23=\"\",\"\",ZOZNAM!C23),\"\")","v":"Numerical Methods: Computer Lab Practicals (CREI Macroeconomics Summer School)"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!D23=\"\",\"\",ZOZNAM!D23),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!E23=\"\",\"\",ZOZNAM!E23),\"\")","v":4},{"$f":"IF($A32<>\"\",IF(ZOZNAM!F23=\"\",\"\",ZOZNAM!F23),\"\")","v":5},{"$f":"IF($A32<>\"\",IF(ZOZNAM!G23=\"\",\"\",ZOZNAM!G23),\"\")","v":"2019-07-01"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!H23=\"\",\"\",ZOZNAM!H23),\"\")","v":"2019-07-05"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!I23=\"\",\"\",ZOZNAM!I23),\"\")","v":"500 EUR"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!J23=\"\",\"\",ZOZNAM!J23),\"\")","v":""},{"$f":"IF($A32<>\"\",IF(ZOZNAM!K23=\"\",\"\",ZOZNAM!K23),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!L23=\"\",\"\",ZOZNAM!L23),\"\")","v":"This 5 hour practical course will demonstrate advantages and disadvantages in terms of accuracy and efficiencythrough specific examples of state-of-the-art monetary and fiscal policy models (e.g. models with zero-lower bound constraint, financial frictions, forward-guidance, etc.). Course includes the computer lab practicals. "},{"$f":"IF($A32<>\"\",IF(ZOZNAM!M23=\"\",\"\",ZOZNAM!M23),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!N23=\"\",\"\",ZOZNAM!N23),\"\")","v":"nie"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!O23=\"\",\"\",ZOZNAM!O23),\"\")","v":"nie"},{"$f":"IF($A32<>\"\",IF(ZOZNAM!P23=\"\",\"\",ZOZNAM!P23),\"\")","v":1.99},{"$f":"IF($A32<>\"\",IF(ZOZNAM!Q23=\"\",\"\",ZOZNAM!Q23),\"\")","v":""},{"$f":"IF($A32<>\"\",IF(ZOZNAM!R23=\"\",\"\",ZOZNAM!R23),\"\")","v":""},{"$f":"IF($A32<>\"\",IF(ZOZNAM!S23=\"\",\"\",ZOZNAM!S23),\"\")","v":""},{"$f":"IF($A32<>\"\",IF(ZOZNAM!T23=\"\",\"\",ZOZNAM!T23),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C24)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C24)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C24)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C24)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C24)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C24)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L24)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L24)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L24)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L24)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L24)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L24)),FALSE))),ZOZNAM!G24>=$C$9),ZOZNAM!A24,\"\")","v":"BA121"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!B24=\"\",\"\",ZOZNAM!B24),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!C24=\"\",\"\",ZOZNAM!C24),\"\")","v":"Spatial Equilibrium and the Economics of Cities (CREI Macroeconomics Summer School)"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!D24=\"\",\"\",ZOZNAM!D24),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!E24=\"\",\"\",ZOZNAM!E24),\"\")","v":4},{"$f":"IF($A33<>\"\",IF(ZOZNAM!F24=\"\",\"\",ZOZNAM!F24),\"\")","v":5},{"$f":"IF($A33<>\"\",IF(ZOZNAM!G24=\"\",\"\",ZOZNAM!G24),\"\")","v":"2019-07-01"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!H24=\"\",\"\",ZOZNAM!H24),\"\")","v":"2019-07-05"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!I24=\"\",\"\",ZOZNAM!I24),\"\")","v":"1 150 EUR"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!J24=\"\",\"\",ZOZNAM!J24),\"\")","v":""},{"$f":"IF($A33<>\"\",IF(ZOZNAM!K24=\"\",\"\",ZOZNAM!K24),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!L24=\"\",\"\",ZOZNAM!L24),\"\")","v":"This course deals with spatial equilibrium in a city: transportation, residential location and the monocentric city model.Other topics that course includes are spatial equilibrium in a system of cities: hedonics and the measurement of amenities and productivity; \nAgglomeration economies: pooling, matching and knowledge spillovers; \nCities and public policy: local public goods and sorting, place-based policies."},{"$f":"IF($A33<>\"\",IF(ZOZNAM!M24=\"\",\"\",ZOZNAM!M24),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!N24=\"\",\"\",ZOZNAM!N24),\"\")","v":"nie"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!O24=\"\",\"\",ZOZNAM!O24),\"\")","v":"nie"},{"$f":"IF($A33<>\"\",IF(ZOZNAM!P24=\"\",\"\",ZOZNAM!P24),\"\")","v":1.99},{"$f":"IF($A33<>\"\",IF(ZOZNAM!Q24=\"\",\"\",ZOZNAM!Q24),\"\")","v":""},{"$f":"IF($A33<>\"\",IF(ZOZNAM!R24=\"\",\"\",ZOZNAM!R24),\"\")","v":""},{"$f":"IF($A33<>\"\",IF(ZOZNAM!S24=\"\",\"\",ZOZNAM!S24),\"\")","v":""},{"$f":"IF($A33<>\"\",IF(ZOZNAM!T24=\"\",\"\",ZOZNAM!T24),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C25)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C25)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C25)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C25)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C25)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C25)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L25)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L25)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L25)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L25)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L25)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L25)),FALSE))),ZOZNAM!G25>=$C$9),ZOZNAM!A25,\"\")","v":"BA124"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!B25=\"\",\"\",ZOZNAM!B25),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!C25=\"\",\"\",ZOZNAM!C25),\"\")","v":"Foundations of Data Science (Data Science Summer School)"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!D25=\"\",\"\",ZOZNAM!D25),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!E25=\"\",\"\",ZOZNAM!E25),\"\")","v":4},{"$f":"IF($A34<>\"\",IF(ZOZNAM!F25=\"\",\"\",ZOZNAM!F25),\"\")","v":5},{"$f":"IF($A34<>\"\",IF(ZOZNAM!G25=\"\",\"\",ZOZNAM!G25),\"\")","v":"2019-07-01"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!H25=\"\",\"\",ZOZNAM!H25),\"\")","v":"2019-07-05"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!I25=\"\",\"\",ZOZNAM!I25),\"\")","v":"2 200 EUR"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!J25=\"\",\"\",ZOZNAM!J25),\"\")","v":""},{"$f":"IF($A34<>\"\",IF(ZOZNAM!K25=\"\",\"\",ZOZNAM!K25),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/data-science"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!L25=\"\",\"\",ZOZNAM!L25),\"\")","v":"he course provides training in information retrieval, data analysis and machine learning with Python and R and evolves along the thematic following units:\n\nProgramming with Python\nKeywords: data types, functions, objects\nData analysis with Python\nKeywords: pandas, database management, seaborn\nScraping data\nKeywords: scraping, API's, cloud storage\nSupervised learning\nKeywords: sklearn, linear models, cross validation, regularisation, lasso, trees, ensembles, boosting\nUnsupervised learning\nKeywords: clustering, factors, independent component analysis and matrix factorization\nCrash course in R\nKeywords: packages, statistical analysis in R, data visualization"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!M25=\"\",\"\",ZOZNAM!M25),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!N25=\"\",\"\",ZOZNAM!N25),\"\")","v":"nie"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!O25=\"\",\"\",ZOZNAM!O25),\"\")","v":"nie"},{"$f":"IF($A34<>\"\",IF(ZOZNAM!P25=\"\",\"\",ZOZNAM!P25),\"\")","v":1.99},{"$f":"IF($A34<>\"\",IF(ZOZNAM!Q25=\"\",\"\",ZOZNAM!Q25),\"\")","v":""},{"$f":"IF($A34<>\"\",IF(ZOZNAM!R25=\"\",\"\",ZOZNAM!R25),\"\")","v":""},{"$f":"IF($A34<>\"\",IF(ZOZNAM!S25=\"\",\"\",ZOZNAM!S25),\"\")","v":""},{"$f":"IF($A34<>\"\",IF(ZOZNAM!T25=\"\",\"\",ZOZNAM!T25),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C26)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C26)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C26)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C26)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C26)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C26)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L26)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L26)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L26)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L26)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L26)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L26)),FALSE))),ZOZNAM!G26>=$C$9),ZOZNAM!A26,\"\")","v":"BA126"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!B26=\"\",\"\",ZOZNAM!B26),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!C26=\"\",\"\",ZOZNAM!C26),\"\")","v":"Economics of Education (Labor Economics Summer School)"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!D26=\"\",\"\",ZOZNAM!D26),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!E26=\"\",\"\",ZOZNAM!E26),\"\")","v":4},{"$f":"IF($A35<>\"\",IF(ZOZNAM!F26=\"\",\"\",ZOZNAM!F26),\"\")","v":5},{"$f":"IF($A35<>\"\",IF(ZOZNAM!G26=\"\",\"\",ZOZNAM!G26),\"\")","v":"2019-07-01"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!H26=\"\",\"\",ZOZNAM!H26),\"\")","v":"2019-07-05"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!I26=\"\",\"\",ZOZNAM!I26),\"\")","v":"1 050 EUR"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!J26=\"\",\"\",ZOZNAM!J26),\"\")","v":""},{"$f":"IF($A35<>\"\",IF(ZOZNAM!K26=\"\",\"\",ZOZNAM!K26),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/labor-economics"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!L26=\"\",\"\",ZOZNAM!L26),\"\")","v":"Four lectures explore both the demand for education and the supply of education. The supply lecture will cover most of the important policy debates in modern economies concerning the K-12 education policy. \nLectures deal with topics: \n1. Human Capital Models:\nmodels of the demand for education that treat education as a vehicle for building human capacity.  \n\n2. Empirical Impacts of Education: \nThe literature on the causal impact of education on life outcomes. \n\n3. Human Capital Spillovers: \nThe theoretical and empirical literature on human capital spillovers. \n\n4. Mechanism Design and the Public Funding of Education: \nDiscussion about three different paradigms for using public funds to acquire education services for children. \nPublic Provision within Government Accountability Systems.\nVoucher Systems.\nBlended Systems. "},{"$f":"IF($A35<>\"\",IF(ZOZNAM!M26=\"\",\"\",ZOZNAM!M26),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!N26=\"\",\"\",ZOZNAM!N26),\"\")","v":"nie"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!O26=\"\",\"\",ZOZNAM!O26),\"\")","v":"nie"},{"$f":"IF($A35<>\"\",IF(ZOZNAM!P26=\"\",\"\",ZOZNAM!P26),\"\")","v":1.99},{"$f":"IF($A35<>\"\",IF(ZOZNAM!Q26=\"\",\"\",ZOZNAM!Q26),\"\")","v":""},{"$f":"IF($A35<>\"\",IF(ZOZNAM!R26=\"\",\"\",ZOZNAM!R26),\"\")","v":""},{"$f":"IF($A35<>\"\",IF(ZOZNAM!S26=\"\",\"\",ZOZNAM!S26),\"\")","v":""},{"$f":"IF($A35<>\"\",IF(ZOZNAM!T26=\"\",\"\",ZOZNAM!T26),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C27)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C27)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C27)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C27)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C27)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C27)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L27)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L27)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L27)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L27)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L27)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L27)),FALSE))),ZOZNAM!G27>=$C$9),ZOZNAM!A27,\"\")","v":"BA127"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!B27=\"\",\"\",ZOZNAM!B27),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!C27=\"\",\"\",ZOZNAM!C27),\"\")","v":"Economics of Migration (Labor Economics Summer School)"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!D27=\"\",\"\",ZOZNAM!D27),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!E27=\"\",\"\",ZOZNAM!E27),\"\")","v":4},{"$f":"IF($A36<>\"\",IF(ZOZNAM!F27=\"\",\"\",ZOZNAM!F27),\"\")","v":5},{"$f":"IF($A36<>\"\",IF(ZOZNAM!G27=\"\",\"\",ZOZNAM!G27),\"\")","v":"2019-07-01"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!H27=\"\",\"\",ZOZNAM!H27),\"\")","v":"2019-07-05"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!I27=\"\",\"\",ZOZNAM!I27),\"\")","v":"1 050 EUR"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!J27=\"\",\"\",ZOZNAM!J27),\"\")","v":""},{"$f":"IF($A36<>\"\",IF(ZOZNAM!K27=\"\",\"\",ZOZNAM!K27),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/labor-economics"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!L27=\"\",\"\",ZOZNAM!L27),\"\")","v":"The main objective of this course is to explore the different answers provided in the literature to topics of economics of migration. Course is divided into two main parts:\n\nPart I covers the topic of Migration Decisions (International migration decisions; Migration Decisions;  Immigration Selection: The Roy Model; Empirical Evidence) and Structural estimation of models of internal migration.\n\nPart II covers the topic of Economic consequences of immigration \n(Wage effects of immigration; \nEffects on local labor markets; \nNational level approaches;\nAssimilation of immigrants)."},{"$f":"IF($A36<>\"\",IF(ZOZNAM!M27=\"\",\"\",ZOZNAM!M27),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!N27=\"\",\"\",ZOZNAM!N27),\"\")","v":"nie"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!O27=\"\",\"\",ZOZNAM!O27),\"\")","v":"nie"},{"$f":"IF($A36<>\"\",IF(ZOZNAM!P27=\"\",\"\",ZOZNAM!P27),\"\")","v":1.99},{"$f":"IF($A36<>\"\",IF(ZOZNAM!Q27=\"\",\"\",ZOZNAM!Q27),\"\")","v":""},{"$f":"IF($A36<>\"\",IF(ZOZNAM!R27=\"\",\"\",ZOZNAM!R27),\"\")","v":""},{"$f":"IF($A36<>\"\",IF(ZOZNAM!S27=\"\",\"\",ZOZNAM!S27),\"\")","v":""},{"$f":"IF($A36<>\"\",IF(ZOZNAM!T27=\"\",\"\",ZOZNAM!T27),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C28)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C28)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C28)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C28)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C28)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C28)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L28)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L28)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L28)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L28)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L28)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L28)),FALSE))),ZOZNAM!G28>=$C$9),ZOZNAM!A28,\"\")","v":"BA128"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!B28=\"\",\"\",ZOZNAM!B28),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!C28=\"\",\"\",ZOZNAM!C28),\"\")","v":"Gender Economics (Labor Economics Summer School)"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!D28=\"\",\"\",ZOZNAM!D28),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!E28=\"\",\"\",ZOZNAM!E28),\"\")","v":4},{"$f":"IF($A37<>\"\",IF(ZOZNAM!F28=\"\",\"\",ZOZNAM!F28),\"\")","v":5},{"$f":"IF($A37<>\"\",IF(ZOZNAM!G28=\"\",\"\",ZOZNAM!G28),\"\")","v":"2019-07-01"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!H28=\"\",\"\",ZOZNAM!H28),\"\")","v":"2019-07-05"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!I28=\"\",\"\",ZOZNAM!I28),\"\")","v":"1 050 EUR"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!J28=\"\",\"\",ZOZNAM!J28),\"\")","v":""},{"$f":"IF($A37<>\"\",IF(ZOZNAM!K28=\"\",\"\",ZOZNAM!K28),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/labor-economics"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!L28=\"\",\"\",ZOZNAM!L28),\"\")","v":"This course will provide an overview of a recent literature in economics that documents gender gaps in a range of domains, tries to uncover the factors that drive them, and evaluates the effectiveness of different policies in mitigating them. Course deals with topics of \nGender gaps in wages and employment; \nGender and education; \nRisk aversion, competitiveness, and other traits; \nFamily (contraception, fertility, abortion, marriage and divorce, household specialization) and\nGender and public policy."},{"$f":"IF($A37<>\"\",IF(ZOZNAM!M28=\"\",\"\",ZOZNAM!M28),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!N28=\"\",\"\",ZOZNAM!N28),\"\")","v":"nie"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!O28=\"\",\"\",ZOZNAM!O28),\"\")","v":"nie"},{"$f":"IF($A37<>\"\",IF(ZOZNAM!P28=\"\",\"\",ZOZNAM!P28),\"\")","v":1.99},{"$f":"IF($A37<>\"\",IF(ZOZNAM!Q28=\"\",\"\",ZOZNAM!Q28),\"\")","v":""},{"$f":"IF($A37<>\"\",IF(ZOZNAM!R28=\"\",\"\",ZOZNAM!R28),\"\")","v":""},{"$f":"IF($A37<>\"\",IF(ZOZNAM!S28=\"\",\"\",ZOZNAM!S28),\"\")","v":""},{"$f":"IF($A37<>\"\",IF(ZOZNAM!T28=\"\",\"\",ZOZNAM!T28),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C29)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C29)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C29)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C29)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C29)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C29)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L29)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L29)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L29)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L29)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L29)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L29)),FALSE))),ZOZNAM!G29>=$C$9),ZOZNAM!A29,\"\")","v":"BA129"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!B29=\"\",\"\",ZOZNAM!B29),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!C29=\"\",\"\",ZOZNAM!C29),\"\")","v":"Bayesian Methods for DSGE Models (Macroeconometrics Summer School)"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!D29=\"\",\"\",ZOZNAM!D29),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!E29=\"\",\"\",ZOZNAM!E29),\"\")","v":4},{"$f":"IF($A38<>\"\",IF(ZOZNAM!F29=\"\",\"\",ZOZNAM!F29),\"\")","v":5},{"$f":"IF($A38<>\"\",IF(ZOZNAM!G29=\"\",\"\",ZOZNAM!G29),\"\")","v":"2019-07-01"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!H29=\"\",\"\",ZOZNAM!H29),\"\")","v":"2019-07-05"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!I29=\"\",\"\",ZOZNAM!I29),\"\")","v":"1 250 EUR"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!J29=\"\",\"\",ZOZNAM!J29),\"\")","v":""},{"$f":"IF($A38<>\"\",IF(ZOZNAM!K29=\"\",\"\",ZOZNAM!K29),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!L29=\"\",\"\",ZOZNAM!L29),\"\")","v":"The objective of the course is to teach student how to use state of the art Bayesian methods to estimate and analyze modern macroeconomic models. The course will cover the most popular methods to construct posterior estimates of structural model parameters and probability intervals for arbitrary model outputs (such as impulse response functions and variance decompositions). Special attention will be given to recent advances in empirically analyzing the role of news, noise and imperfect information in business cycle models. The course aim to give students a good understanding of both advantages and limitations of the current generation of DSGE models.\n"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!M29=\"\",\"\",ZOZNAM!M29),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!N29=\"\",\"\",ZOZNAM!N29),\"\")","v":"nie"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!O29=\"\",\"\",ZOZNAM!O29),\"\")","v":"nie"},{"$f":"IF($A38<>\"\",IF(ZOZNAM!P29=\"\",\"\",ZOZNAM!P29),\"\")","v":1.99},{"$f":"IF($A38<>\"\",IF(ZOZNAM!Q29=\"\",\"\",ZOZNAM!Q29),\"\")","v":""},{"$f":"IF($A38<>\"\",IF(ZOZNAM!R29=\"\",\"\",ZOZNAM!R29),\"\")","v":""},{"$f":"IF($A38<>\"\",IF(ZOZNAM!S29=\"\",\"\",ZOZNAM!S29),\"\")","v":""},{"$f":"IF($A38<>\"\",IF(ZOZNAM!T29=\"\",\"\",ZOZNAM!T29),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C30)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C30)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C30)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C30)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C30)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C30)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L30)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L30)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L30)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L30)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L30)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L30)),FALSE))),ZOZNAM!G30>=$C$9),ZOZNAM!A30,\"\")","v":"BA131"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!B30=\"\",\"\",ZOZNAM!B30),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!C30=\"\",\"\",ZOZNAM!C30),\"\")","v":"Modeling Non-stationary and Non-linear Time Series (Macroeconometrics Summer School)"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!D30=\"\",\"\",ZOZNAM!D30),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!E30=\"\",\"\",ZOZNAM!E30),\"\")","v":4},{"$f":"IF($A39<>\"\",IF(ZOZNAM!F30=\"\",\"\",ZOZNAM!F30),\"\")","v":5},{"$f":"IF($A39<>\"\",IF(ZOZNAM!G30=\"\",\"\",ZOZNAM!G30),\"\")","v":"2019-07-01"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!H30=\"\",\"\",ZOZNAM!H30),\"\")","v":"2019-07-05"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!I30=\"\",\"\",ZOZNAM!I30),\"\")","v":"1 250 EUR"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!J30=\"\",\"\",ZOZNAM!J30),\"\")","v":""},{"$f":"IF($A39<>\"\",IF(ZOZNAM!K30=\"\",\"\",ZOZNAM!K30),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!L30=\"\",\"\",ZOZNAM!L30),\"\")","v":"The goal of this course is to introduce some popular non-stationary and non-linear time series models that have been found to be effective at modeling macroeconomic and financial time series data.\nCourse includes topics:\nLinear models for nonstationary data. Integration and fractional integration. Univariate and panel unit root tests, non-stationary dynamic factor models.\nCointegration and Fractional cointegration.\nMeasuring persistence. Impulse response functions and related methods. Aggregation and persistence.\nNon-linear methods. Markov Switching and Threshold models.\nUnivariate and multivariate analysis\nDynamic non linear factor models\nReal time assessment of recession probabilities"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!M30=\"\",\"\",ZOZNAM!M30),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!N30=\"\",\"\",ZOZNAM!N30),\"\")","v":"nie"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!O30=\"\",\"\",ZOZNAM!O30),\"\")","v":"nie"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!P30=\"\",\"\",ZOZNAM!P30),\"\")","v":1.99},{"$f":"IF($A39<>\"\",IF(ZOZNAM!Q30=\"\",\"\",ZOZNAM!Q30),\"\")","v":2},{"$f":"IF($A39<>\"\",IF(ZOZNAM!R30=\"\",\"\",ZOZNAM!R30),\"\")","v":1},{"$f":"IF($A39<>\"\",IF(ZOZNAM!S30=\"\",\"\",ZOZNAM!S30),\"\")","v":"Pokročilým"},{"$f":"IF($A39<>\"\",IF(ZOZNAM!T30=\"\",\"\",ZOZNAM!T30),\"\")","v":"Prax a teória boli vhodne vyvvážené, kurz je určený pre modelárov."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C31)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C31)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C31)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C31)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C31)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C31)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L31)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L31)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L31)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L31)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L31)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L31)),FALSE))),ZOZNAM!G31>=$C$9),ZOZNAM!A31,\"\")","v":"BA137"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!B31=\"\",\"\",ZOZNAM!B31),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!C31=\"\",\"\",ZOZNAM!C31),\"\")","v":"Econometrics of Cross-section Data with Applications (Microeconometrics Summer School)"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!D31=\"\",\"\",ZOZNAM!D31),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!E31=\"\",\"\",ZOZNAM!E31),\"\")","v":4},{"$f":"IF($A40<>\"\",IF(ZOZNAM!F31=\"\",\"\",ZOZNAM!F31),\"\")","v":5},{"$f":"IF($A40<>\"\",IF(ZOZNAM!G31=\"\",\"\",ZOZNAM!G31),\"\")","v":"2019-07-01"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!H31=\"\",\"\",ZOZNAM!H31),\"\")","v":"2019-07-05"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!I31=\"\",\"\",ZOZNAM!I31),\"\")","v":"1 250 EUR"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!J31=\"\",\"\",ZOZNAM!J31),\"\")","v":""},{"$f":"IF($A40<>\"\",IF(ZOZNAM!K31=\"\",\"\",ZOZNAM!K31),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!L31=\"\",\"\",ZOZNAM!L31),\"\")","v":"In this course participants deal with estimation of models using of survey data which is becoming a common practice among economists and social scientists both at academic and professional level., paying special attention to the interpretation of the estimates and the limitations of the different models in the literature.\n\nThe course is organized in three blocks which deal with topics: \ndiscrete choice models, including count data models ; limited-dependent variable models, including sample selection issues typical when dealing with cross-section data; models in which the dependent variable is the length of a spell in a particular status (e.g. unemployment) and we are interested in estimating how the duration in a particular status affects the probability of leaving that status.\n\nPractical sessions will be devoted to how to estimate these models using STATA. "},{"$f":"IF($A40<>\"\",IF(ZOZNAM!M31=\"\",\"\",ZOZNAM!M31),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!N31=\"\",\"\",ZOZNAM!N31),\"\")","v":"nie"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!O31=\"\",\"\",ZOZNAM!O31),\"\")","v":"nie"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!P31=\"\",\"\",ZOZNAM!P31),\"\")","v":1.99},{"$f":"IF($A40<>\"\",IF(ZOZNAM!Q31=\"\",\"\",ZOZNAM!Q31),\"\")","v":4},{"$f":"IF($A40<>\"\",IF(ZOZNAM!R31=\"\",\"\",ZOZNAM!R31),\"\")","v":2},{"$f":"IF($A40<>\"\",IF(ZOZNAM!S31=\"\",\"\",ZOZNAM!S31),\"\")","v":"Pokročilým"},{"$f":"IF($A40<>\"\",IF(ZOZNAM!T31=\"\",\"\",ZOZNAM!T31),\"\")","v":"V cene kurzu bola aj licencia na Stata. Nevýhodou bola prevažujúca teória a nedostatočná možnosť natrénovať si vedomosti aj prakticky. Hodnotenie vyučujúcich ako pedagógov bolo nedostatočné. Kurz bol zameraný na ekonometrické modelovanie s mikro dátami. Hlavnou témou kurzu bolo, ako v rôznych situáciách odhadnúť pravdepodobnosť nastania udalosti (napr. straty zamestnania) na úrovni individuálnych charakteristík jednotlivcov. Stata bola softvérovým nástrojom. Získané cvičné kódy uľahčia prácu na podobných projektoch."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C32)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C32)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C32)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C32)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C32)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C32)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L32)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L32)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L32)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L32)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L32)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L32)),FALSE))),ZOZNAM!G32>=$C$9),ZOZNAM!A32,\"\")","v":"BA138"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!B32=\"\",\"\",ZOZNAM!B32),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!C32=\"\",\"\",ZOZNAM!C32),\"\")","v":"Panel Data Linear Analysis (Microeconometrics Summer School)"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!D32=\"\",\"\",ZOZNAM!D32),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!E32=\"\",\"\",ZOZNAM!E32),\"\")","v":4},{"$f":"IF($A41<>\"\",IF(ZOZNAM!F32=\"\",\"\",ZOZNAM!F32),\"\")","v":5},{"$f":"IF($A41<>\"\",IF(ZOZNAM!G32=\"\",\"\",ZOZNAM!G32),\"\")","v":"2019-07-01"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!H32=\"\",\"\",ZOZNAM!H32),\"\")","v":"2019-07-05"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!I32=\"\",\"\",ZOZNAM!I32),\"\")","v":"1 250 EUR"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!J32=\"\",\"\",ZOZNAM!J32),\"\")","v":""},{"$f":"IF($A41<>\"\",IF(ZOZNAM!K32=\"\",\"\",ZOZNAM!K32),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!L32=\"\",\"\",ZOZNAM!L32),\"\")","v":"This course considers methodological and substantive issues concerning the analysis of panel data. It starts by reviewing basic panel data models emphasizing the benefits and limitations of panel data over time series or cross-section data. Basic estimation and testing methods for random and fixed effects models are reviewed and illustrated using empirical applications using Stata and EViews. Next, problems of endogeneity in panel models are studied and panel instrumental variable estimation methods as well as Hausman type tests are reviewed and applied using an empirical application. The course also covers an introduction to dynamic panel data models. Finally, for large macro panels with a large number of countries observed over a long time series, we study issues of non-stationarity.\n"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!M32=\"\",\"\",ZOZNAM!M32),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!N32=\"\",\"\",ZOZNAM!N32),\"\")","v":"nie"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!O32=\"\",\"\",ZOZNAM!O32),\"\")","v":"nie"},{"$f":"IF($A41<>\"\",IF(ZOZNAM!P32=\"\",\"\",ZOZNAM!P32),\"\")","v":1.99},{"$f":"IF($A41<>\"\",IF(ZOZNAM!Q32=\"\",\"\",ZOZNAM!Q32),\"\")","v":""},{"$f":"IF($A41<>\"\",IF(ZOZNAM!R32=\"\",\"\",ZOZNAM!R32),\"\")","v":""},{"$f":"IF($A41<>\"\",IF(ZOZNAM!S32=\"\",\"\",ZOZNAM!S32),\"\")","v":""},{"$f":"IF($A41<>\"\",IF(ZOZNAM!T32=\"\",\"\",ZOZNAM!T32),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C33)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C33)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C33)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C33)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C33)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C33)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L33)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L33)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L33)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L33)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L33)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L33)),FALSE))),ZOZNAM!G33>=$C$9),ZOZNAM!A33,\"\")","v":"BA140"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!B33=\"\",\"\",ZOZNAM!B33),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!C33=\"\",\"\",ZOZNAM!C33),\"\")","v":"The Impacts of Policies on Health Outcomes (Microeconometrics Summer School)"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!D33=\"\",\"\",ZOZNAM!D33),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!E33=\"\",\"\",ZOZNAM!E33),\"\")","v":4},{"$f":"IF($A42<>\"\",IF(ZOZNAM!F33=\"\",\"\",ZOZNAM!F33),\"\")","v":5},{"$f":"IF($A42<>\"\",IF(ZOZNAM!G33=\"\",\"\",ZOZNAM!G33),\"\")","v":"2019-07-01"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!H33=\"\",\"\",ZOZNAM!H33),\"\")","v":"2019-07-05"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!I33=\"\",\"\",ZOZNAM!I33),\"\")","v":"1 250 EUR"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!J33=\"\",\"\",ZOZNAM!J33),\"\")","v":""},{"$f":"IF($A42<>\"\",IF(ZOZNAM!K33=\"\",\"\",ZOZNAM!K33),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!L33=\"\",\"\",ZOZNAM!L33),\"\")","v":"This course provides an applied view of policy evaluation methods specifically targeted to a health economics audience. It will focus on the main methods traditionally used to analyze the impact of several policy interventions on health outcomes such as mortality, self-assessed health, incidence of diseases, infant health outcomes, etc. The focus of the course is on the practical application of these models so that we will revise and replicate some of the papers in the literature using these methods. \nPractical sessions provide the audience with a guide about how to estimate these models in STATA. "},{"$f":"IF($A42<>\"\",IF(ZOZNAM!M33=\"\",\"\",ZOZNAM!M33),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!N33=\"\",\"\",ZOZNAM!N33),\"\")","v":"nie"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!O33=\"\",\"\",ZOZNAM!O33),\"\")","v":"nie"},{"$f":"IF($A42<>\"\",IF(ZOZNAM!P33=\"\",\"\",ZOZNAM!P33),\"\")","v":1.99},{"$f":"IF($A42<>\"\",IF(ZOZNAM!Q33=\"\",\"\",ZOZNAM!Q33),\"\")","v":""},{"$f":"IF($A42<>\"\",IF(ZOZNAM!R33=\"\",\"\",ZOZNAM!R33),\"\")","v":""},{"$f":"IF($A42<>\"\",IF(ZOZNAM!S33=\"\",\"\",ZOZNAM!S33),\"\")","v":""},{"$f":"IF($A42<>\"\",IF(ZOZNAM!T33=\"\",\"\",ZOZNAM!T33),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C34)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C34)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C34)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C34)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C34)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C34)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L34)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L34)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L34)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L34)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L34)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L34)),FALSE))),ZOZNAM!G34>=$C$9),ZOZNAM!A34,\"\")","v":"BA108"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!B34=\"\",\"\",ZOZNAM!B34),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!C34=\"\",\"\",ZOZNAM!C34),\"\")","v":"Bank Regulation (Banking Summer School)"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!D34=\"\",\"\",ZOZNAM!D34),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!E34=\"\",\"\",ZOZNAM!E34),\"\")","v":5},{"$f":"IF($A43<>\"\",IF(ZOZNAM!F34=\"\",\"\",ZOZNAM!F34),\"\")","v":5},{"$f":"IF($A43<>\"\",IF(ZOZNAM!G34=\"\",\"\",ZOZNAM!G34),\"\")","v":"2019-07-08"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!H34=\"\",\"\",ZOZNAM!H34),\"\")","v":"2019-07-12"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!I34=\"\",\"\",ZOZNAM!I34),\"\")","v":"1 200 EUR"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!J34=\"\",\"\",ZOZNAM!J34),\"\")","v":""},{"$f":"IF($A43<>\"\",IF(ZOZNAM!K34=\"\",\"\",ZOZNAM!K34),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/banking"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!L34=\"\",\"\",ZOZNAM!L34),\"\")","v":"Summer course will present a theoretical and empirical work on the rationale for regulation of banks and its actual functioning. Attendants will discuss the different elements of financial safety and new insights into their functioning since the crisis. Course is also focused on new developments, including the increasing trend towards cross-border cooperation of regulators and supervisors, recognizing the global spill-over effects of national decisions, and the novel role of macroprudential policy in context of risk externalities and credit cycles.\nThe course targets researchers, aspiring and experienced policymakers and practitioners focused on regulatory and prudential aspects."},{"$f":"IF($A43<>\"\",IF(ZOZNAM!M34=\"\",\"\",ZOZNAM!M34),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!N34=\"\",\"\",ZOZNAM!N34),\"\")","v":"nie"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!O34=\"\",\"\",ZOZNAM!O34),\"\")","v":"nie"},{"$f":"IF($A43<>\"\",IF(ZOZNAM!P34=\"\",\"\",ZOZNAM!P34),\"\")","v":1.99},{"$f":"IF($A43<>\"\",IF(ZOZNAM!Q34=\"\",\"\",ZOZNAM!Q34),\"\")","v":""},{"$f":"IF($A43<>\"\",IF(ZOZNAM!R34=\"\",\"\",ZOZNAM!R34),\"\")","v":""},{"$f":"IF($A43<>\"\",IF(ZOZNAM!S34=\"\",\"\",ZOZNAM!S34),\"\")","v":""},{"$f":"IF($A43<>\"\",IF(ZOZNAM!T34=\"\",\"\",ZOZNAM!T34),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C35)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C35)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C35)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C35)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C35)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C35)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L35)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L35)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L35)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L35)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L35)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L35)),FALSE))),ZOZNAM!G35>=$C$9),ZOZNAM!A35,\"\")","v":"BA110"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!B35=\"\",\"\",ZOZNAM!B35),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!C35=\"\",\"\",ZOZNAM!C35),\"\")","v":"Empirical Banking - Methodological Aspects (Banking Summer School)"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!D35=\"\",\"\",ZOZNAM!D35),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!E35=\"\",\"\",ZOZNAM!E35),\"\")","v":5},{"$f":"IF($A44<>\"\",IF(ZOZNAM!F35=\"\",\"\",ZOZNAM!F35),\"\")","v":5},{"$f":"IF($A44<>\"\",IF(ZOZNAM!G35=\"\",\"\",ZOZNAM!G35),\"\")","v":"2019-07-08"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!H35=\"\",\"\",ZOZNAM!H35),\"\")","v":"2019-07-12"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!I35=\"\",\"\",ZOZNAM!I35),\"\")","v":"1 200 EUR"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!J35=\"\",\"\",ZOZNAM!J35),\"\")","v":""},{"$f":"IF($A44<>\"\",IF(ZOZNAM!K35=\"\",\"\",ZOZNAM!K35),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/banking"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!L35=\"\",\"\",ZOZNAM!L35),\"\")","v":"The objective of this course is to read and understand scientific papers in empirical banking. To accomplish this objective, emphasis is placed on illustrating basic research methodologies used in empirical banking and learning the application of these methodologies to selected topics. The research methods that are specifically discussed in the class are cross-sectional research methods and the inter-temporal event study methodology. The topics that are covered include (but are not limited to) applications of Discrete Choice, Multinomial Logit, Duration, Simultaneous Equations and Event Study Methodology, and as an area of particular interest the Geography of Banking. Opportunities are offered during the course to explore selected theoretical models upon which empirical applications are based."},{"$f":"IF($A44<>\"\",IF(ZOZNAM!M35=\"\",\"\",ZOZNAM!M35),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!N35=\"\",\"\",ZOZNAM!N35),\"\")","v":"nie"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!O35=\"\",\"\",ZOZNAM!O35),\"\")","v":"nie"},{"$f":"IF($A44<>\"\",IF(ZOZNAM!P35=\"\",\"\",ZOZNAM!P35),\"\")","v":1.99},{"$f":"IF($A44<>\"\",IF(ZOZNAM!Q35=\"\",\"\",ZOZNAM!Q35),\"\")","v":""},{"$f":"IF($A44<>\"\",IF(ZOZNAM!R35=\"\",\"\",ZOZNAM!R35),\"\")","v":""},{"$f":"IF($A44<>\"\",IF(ZOZNAM!S35=\"\",\"\",ZOZNAM!S35),\"\")","v":""},{"$f":"IF($A44<>\"\",IF(ZOZNAM!T35=\"\",\"\",ZOZNAM!T35),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C36)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C36)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C36)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C36)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C36)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C36)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L36)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L36)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L36)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L36)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L36)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L36)),FALSE))),ZOZNAM!G36>=$C$9),ZOZNAM!A36,\"\")","v":"BA112"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!B36=\"\",\"\",ZOZNAM!B36),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!C36=\"\",\"\",ZOZNAM!C36),\"\")","v":"Advanced Topics in Digital Economy"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!D36=\"\",\"\",ZOZNAM!D36),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!E36=\"\",\"\",ZOZNAM!E36),\"\")","v":5},{"$f":"IF($A45<>\"\",IF(ZOZNAM!F36=\"\",\"\",ZOZNAM!F36),\"\")","v":5},{"$f":"IF($A45<>\"\",IF(ZOZNAM!G36=\"\",\"\",ZOZNAM!G36),\"\")","v":"2019-07-08"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!H36=\"\",\"\",ZOZNAM!H36),\"\")","v":"2019-07-12"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!I36=\"\",\"\",ZOZNAM!I36),\"\")","v":"1 100 EUR"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!J36=\"\",\"\",ZOZNAM!J36),\"\")","v":""},{"$f":"IF($A45<>\"\",IF(ZOZNAM!K36=\"\",\"\",ZOZNAM!K36),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/competition-economics"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!L36=\"\",\"\",ZOZNAM!L36),\"\")","v":"This summer course is focused on selected topics:\n- Understanding platform competition: theory and cases \n- Vertical agreements in online markets\n- Recent cases of abuse of dominance in digital markets\n- Challenges for competition policy, I: big data\n- Challenges for competition policy, II: sharing economy"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!M36=\"\",\"\",ZOZNAM!M36),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!N36=\"\",\"\",ZOZNAM!N36),\"\")","v":"nie"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!O36=\"\",\"\",ZOZNAM!O36),\"\")","v":"nie"},{"$f":"IF($A45<>\"\",IF(ZOZNAM!P36=\"\",\"\",ZOZNAM!P36),\"\")","v":1.99},{"$f":"IF($A45<>\"\",IF(ZOZNAM!Q36=\"\",\"\",ZOZNAM!Q36),\"\")","v":""},{"$f":"IF($A45<>\"\",IF(ZOZNAM!R36=\"\",\"\",ZOZNAM!R36),\"\")","v":""},{"$f":"IF($A45<>\"\",IF(ZOZNAM!S36=\"\",\"\",ZOZNAM!S36),\"\")","v":""},{"$f":"IF($A45<>\"\",IF(ZOZNAM!T36=\"\",\"\",ZOZNAM!T36),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C37)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C37)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C37)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C37)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C37)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C37)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L37)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L37)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L37)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L37)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L37)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L37)),FALSE))),ZOZNAM!G37>=$C$9),ZOZNAM!A37,\"\")","v":"BA113"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!B37=\"\",\"\",ZOZNAM!B37),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!C37=\"\",\"\",ZOZNAM!C37),\"\")","v":"Economics of Crypto-currencies and Blockchain (Competition Economics Summer School)"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!D37=\"\",\"\",ZOZNAM!D37),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!E37=\"\",\"\",ZOZNAM!E37),\"\")","v":5},{"$f":"IF($A46<>\"\",IF(ZOZNAM!F37=\"\",\"\",ZOZNAM!F37),\"\")","v":5},{"$f":"IF($A46<>\"\",IF(ZOZNAM!G37=\"\",\"\",ZOZNAM!G37),\"\")","v":"2019-07-08"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!H37=\"\",\"\",ZOZNAM!H37),\"\")","v":"2019-07-12"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!I37=\"\",\"\",ZOZNAM!I37),\"\")","v":"1 100 EUR"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!J37=\"\",\"\",ZOZNAM!J37),\"\")","v":""},{"$f":"IF($A46<>\"\",IF(ZOZNAM!K37=\"\",\"\",ZOZNAM!K37),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/competition-economics"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!L37=\"\",\"\",ZOZNAM!L37),\"\")","v":"Course will be dealing with topics of the Bitcoin design: general overview and game theoretic analysis, \nEmpirical analysis of Bitcoin ( alternative cryptocurrencies), \nSmart contracts, ICOs/tokens, \nThe economics of cryptocurrencies ( competition, monetary policy), \nBlockchain beyond cryptocurrencies."},{"$f":"IF($A46<>\"\",IF(ZOZNAM!M37=\"\",\"\",ZOZNAM!M37),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!N37=\"\",\"\",ZOZNAM!N37),\"\")","v":"nie"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!O37=\"\",\"\",ZOZNAM!O37),\"\")","v":"nie"},{"$f":"IF($A46<>\"\",IF(ZOZNAM!P37=\"\",\"\",ZOZNAM!P37),\"\")","v":1.99},{"$f":"IF($A46<>\"\",IF(ZOZNAM!Q37=\"\",\"\",ZOZNAM!Q37),\"\")","v":""},{"$f":"IF($A46<>\"\",IF(ZOZNAM!R37=\"\",\"\",ZOZNAM!R37),\"\")","v":""},{"$f":"IF($A46<>\"\",IF(ZOZNAM!S37=\"\",\"\",ZOZNAM!S37),\"\")","v":""},{"$f":"IF($A46<>\"\",IF(ZOZNAM!T37=\"\",\"\",ZOZNAM!T37),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C38)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C38)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C38)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C38)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C38)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C38)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L38)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L38)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L38)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L38)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L38)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L38)),FALSE))),ZOZNAM!G38>=$C$9),ZOZNAM!A38,\"\")","v":"BA115"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!B38=\"\",\"\",ZOZNAM!B38),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!C38=\"\",\"\",ZOZNAM!C38),\"\")","v":"Finance, Firm Dynamics and Aggregate Outcomes (CREI Macroeconomics Summer School)"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!D38=\"\",\"\",ZOZNAM!D38),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!E38=\"\",\"\",ZOZNAM!E38),\"\")","v":5},{"$f":"IF($A47<>\"\",IF(ZOZNAM!F38=\"\",\"\",ZOZNAM!F38),\"\")","v":5},{"$f":"IF($A47<>\"\",IF(ZOZNAM!G38=\"\",\"\",ZOZNAM!G38),\"\")","v":"2019-07-08"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!H38=\"\",\"\",ZOZNAM!H38),\"\")","v":"2019-07-12"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!I38=\"\",\"\",ZOZNAM!I38),\"\")","v":"1 150 EUR"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!J38=\"\",\"\",ZOZNAM!J38),\"\")","v":""},{"$f":"IF($A47<>\"\",IF(ZOZNAM!K38=\"\",\"\",ZOZNAM!K38),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!L38=\"\",\"\",ZOZNAM!L38),\"\")","v":"The course will cover recent research exploring the relation between firm-level frictions, reallocation of resources, and their aggregate implications. Selected topics that course will cover are:\n- Stylised facts on firm dynamics;\n- Dispersion in productivity and misallocation of resources: measurement, theory, and aggregate implications.\n- Financial frictions and firm dynamics.\n- Innovation, reallocation, and growth\n- Financial factors, and the misallocation of skilled labour and intangible capital.\n- Finance, firm dynamics and the business cycle: empirical evidence and theory."},{"$f":"IF($A47<>\"\",IF(ZOZNAM!M38=\"\",\"\",ZOZNAM!M38),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!N38=\"\",\"\",ZOZNAM!N38),\"\")","v":"nie"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!O38=\"\",\"\",ZOZNAM!O38),\"\")","v":"nie"},{"$f":"IF($A47<>\"\",IF(ZOZNAM!P38=\"\",\"\",ZOZNAM!P38),\"\")","v":1.99},{"$f":"IF($A47<>\"\",IF(ZOZNAM!Q38=\"\",\"\",ZOZNAM!Q38),\"\")","v":""},{"$f":"IF($A47<>\"\",IF(ZOZNAM!R38=\"\",\"\",ZOZNAM!R38),\"\")","v":""},{"$f":"IF($A47<>\"\",IF(ZOZNAM!S38=\"\",\"\",ZOZNAM!S38),\"\")","v":""},{"$f":"IF($A47<>\"\",IF(ZOZNAM!T38=\"\",\"\",ZOZNAM!T38),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C39)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C39)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C39)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C39)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C39)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C39)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L39)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L39)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L39)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L39)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L39)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L39)),FALSE))),ZOZNAM!G39>=$C$9),ZOZNAM!A39,\"\")","v":"BA116"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!B39=\"\",\"\",ZOZNAM!B39),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!C39=\"\",\"\",ZOZNAM!C39),\"\")","v":"Innovation and Growth in the Global Economy (CREI Macroeconomics Summer School)"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!D39=\"\",\"\",ZOZNAM!D39),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!E39=\"\",\"\",ZOZNAM!E39),\"\")","v":5},{"$f":"IF($A48<>\"\",IF(ZOZNAM!F39=\"\",\"\",ZOZNAM!F39),\"\")","v":5},{"$f":"IF($A48<>\"\",IF(ZOZNAM!G39=\"\",\"\",ZOZNAM!G39),\"\")","v":"2019-07-08"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!H39=\"\",\"\",ZOZNAM!H39),\"\")","v":"2019-07-12"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!I39=\"\",\"\",ZOZNAM!I39),\"\")","v":"1 150 EUR"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!J39=\"\",\"\",ZOZNAM!J39),\"\")","v":""},{"$f":"IF($A48<>\"\",IF(ZOZNAM!K39=\"\",\"\",ZOZNAM!K39),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!L39=\"\",\"\",ZOZNAM!L39),\"\")","v":"This course will focus on how technology is created by firms, it diffuses across countries and responds to market opportunities. Special attention will be devoted to two major phenomena: automation and the rise of China. Each topic will be studied combining theoretical models with macro and micro data.\nCourse cover the topics: \nThe economics of ideas: innovation, creative destruction and firm dynamics\nBiased innovation, technology diffusion and inequality\nExplaining economic performance: productivity, misallocation and superstar firms\nAutomation: effects on employment, wages and the labor share\nOffshoring and the rise of China: effects on employment, wages and innovation"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!M39=\"\",\"\",ZOZNAM!M39),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!N39=\"\",\"\",ZOZNAM!N39),\"\")","v":"nie"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!O39=\"\",\"\",ZOZNAM!O39),\"\")","v":"nie"},{"$f":"IF($A48<>\"\",IF(ZOZNAM!P39=\"\",\"\",ZOZNAM!P39),\"\")","v":1.99},{"$f":"IF($A48<>\"\",IF(ZOZNAM!Q39=\"\",\"\",ZOZNAM!Q39),\"\")","v":""},{"$f":"IF($A48<>\"\",IF(ZOZNAM!R39=\"\",\"\",ZOZNAM!R39),\"\")","v":""},{"$f":"IF($A48<>\"\",IF(ZOZNAM!S39=\"\",\"\",ZOZNAM!S39),\"\")","v":""},{"$f":"IF($A48<>\"\",IF(ZOZNAM!T39=\"\",\"\",ZOZNAM!T39),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C40)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C40)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C40)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C40)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C40)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C40)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L40)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L40)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L40)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L40)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L40)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L40)),FALSE))),ZOZNAM!G40>=$C$9),ZOZNAM!A40,\"\")","v":"BA122"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!B40=\"\",\"\",ZOZNAM!B40),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!C40=\"\",\"\",ZOZNAM!C40),\"\")","v":"Bayesian Machine Learning in Social Sciences (Data Science Summer School)"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!D40=\"\",\"\",ZOZNAM!D40),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!E40=\"\",\"\",ZOZNAM!E40),\"\")","v":5},{"$f":"IF($A49<>\"\",IF(ZOZNAM!F40=\"\",\"\",ZOZNAM!F40),\"\")","v":5},{"$f":"IF($A49<>\"\",IF(ZOZNAM!G40=\"\",\"\",ZOZNAM!G40),\"\")","v":"2019-07-08"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!H40=\"\",\"\",ZOZNAM!H40),\"\")","v":"2019-07-12"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!I40=\"\",\"\",ZOZNAM!I40),\"\")","v":"2 200 EUR"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!J40=\"\",\"\",ZOZNAM!J40),\"\")","v":""},{"$f":"IF($A49<>\"\",IF(ZOZNAM!K40=\"\",\"\",ZOZNAM!K40),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/data-science"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!L40=\"\",\"\",ZOZNAM!L40),\"\")","v":"This summer school develops methods from modern Statistics and Machine Learning that are essential to modern Social Sciences and its priorities. The school provides a concise treatment of variable selection, treatment-effect estimation in presence of vast number of controls and what is more generally known as post-selection inference, graphical modelling, Bayesian networks and estimation of graphs from data, causal inference, latent variable and topic models for high-dimensional categorical data, e.g. text or choice data, and elements of Bayesian computation. "},{"$f":"IF($A49<>\"\",IF(ZOZNAM!M40=\"\",\"\",ZOZNAM!M40),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!N40=\"\",\"\",ZOZNAM!N40),\"\")","v":"nie"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!O40=\"\",\"\",ZOZNAM!O40),\"\")","v":"nie"},{"$f":"IF($A49<>\"\",IF(ZOZNAM!P40=\"\",\"\",ZOZNAM!P40),\"\")","v":1.99},{"$f":"IF($A49<>\"\",IF(ZOZNAM!Q40=\"\",\"\",ZOZNAM!Q40),\"\")","v":""},{"$f":"IF($A49<>\"\",IF(ZOZNAM!R40=\"\",\"\",ZOZNAM!R40),\"\")","v":""},{"$f":"IF($A49<>\"\",IF(ZOZNAM!S40=\"\",\"\",ZOZNAM!S40),\"\")","v":""},{"$f":"IF($A49<>\"\",IF(ZOZNAM!T40=\"\",\"\",ZOZNAM!T40),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C41)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C41)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C41)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C41)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C41)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C41)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L41)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L41)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L41)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L41)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L41)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L41)),FALSE))),ZOZNAM!G41>=$C$9),ZOZNAM!A41,\"\")","v":"BA130"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!B41=\"\",\"\",ZOZNAM!B41),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!C41=\"\",\"\",ZOZNAM!C41),\"\")","v":"Bayesian Time Series Methods: Advanced (Macroeconometrics Summer School)"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!D41=\"\",\"\",ZOZNAM!D41),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!E41=\"\",\"\",ZOZNAM!E41),\"\")","v":5},{"$f":"IF($A50<>\"\",IF(ZOZNAM!F41=\"\",\"\",ZOZNAM!F41),\"\")","v":5},{"$f":"IF($A50<>\"\",IF(ZOZNAM!G41=\"\",\"\",ZOZNAM!G41),\"\")","v":"2019-07-08"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!H41=\"\",\"\",ZOZNAM!H41),\"\")","v":"2019-07-12"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!I41=\"\",\"\",ZOZNAM!I41),\"\")","v":"1 250 EUR"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!J41=\"\",\"\",ZOZNAM!J41),\"\")","v":""},{"$f":"IF($A50<>\"\",IF(ZOZNAM!K41=\"\",\"\",ZOZNAM!K41),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!L41=\"\",\"\",ZOZNAM!L41),\"\")","v":"This is a course in introductory Bayesian econometrics with a focus on models used in empirical macroeconomics. It includes a brief introduction to Bayesian econometrics, describing the main concepts underlying Bayesian theory and seeing how Bayesian methods work in the familiar context of the re- gression model. \nThe second part of the course covers Bayesian model averaging (BMA), stochastic search variable selection (SSVS) and the least absolute shrinkage and selection operator (LASSO). \n\nThe models and methods covered in this course are of direct use in many macroeconomic applications. But they also represent the groundwork that underlies popular multivariate macroeconomic models such as Vector Autoregres- sions (VARs), time-varying parameter VARs (TVP-VARs), factor and Dynamic Stochastic General Equilibirum (DSGE) models. "},{"$f":"IF($A50<>\"\",IF(ZOZNAM!M41=\"\",\"\",ZOZNAM!M41),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!N41=\"\",\"\",ZOZNAM!N41),\"\")","v":"nie"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!O41=\"\",\"\",ZOZNAM!O41),\"\")","v":"nie"},{"$f":"IF($A50<>\"\",IF(ZOZNAM!P41=\"\",\"\",ZOZNAM!P41),\"\")","v":1.99},{"$f":"IF($A50<>\"\",IF(ZOZNAM!Q41=\"\",\"\",ZOZNAM!Q41),\"\")","v":""},{"$f":"IF($A50<>\"\",IF(ZOZNAM!R41=\"\",\"\",ZOZNAM!R41),\"\")","v":""},{"$f":"IF($A50<>\"\",IF(ZOZNAM!S41=\"\",\"\",ZOZNAM!S41),\"\")","v":""},{"$f":"IF($A50<>\"\",IF(ZOZNAM!T41=\"\",\"\",ZOZNAM!T41),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C42)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C42)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C42)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C42)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C42)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C42)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L42)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L42)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L42)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L42)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L42)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L42)),FALSE))),ZOZNAM!G42>=$C$9),ZOZNAM!A42,\"\")","v":"BA132"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!B42=\"\",\"\",ZOZNAM!B42),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!C42=\"\",\"\",ZOZNAM!C42),\"\")","v":"Time Series Methods for Macroeconomic Analysis: Part 1 (Macroeconometrics Summer School)"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!D42=\"\",\"\",ZOZNAM!D42),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!E42=\"\",\"\",ZOZNAM!E42),\"\")","v":5},{"$f":"IF($A51<>\"\",IF(ZOZNAM!F42=\"\",\"\",ZOZNAM!F42),\"\")","v":5},{"$f":"IF($A51<>\"\",IF(ZOZNAM!G42=\"\",\"\",ZOZNAM!G42),\"\")","v":"2019-07-08"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!H42=\"\",\"\",ZOZNAM!H42),\"\")","v":"2019-07-12"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!I42=\"\",\"\",ZOZNAM!I42),\"\")","v":"1 250 EUR"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!J42=\"\",\"\",ZOZNAM!J42),\"\")","v":""},{"$f":"IF($A51<>\"\",IF(ZOZNAM!K42=\"\",\"\",ZOZNAM!K42),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!L42=\"\",\"\",ZOZNAM!L42),\"\")","v":"The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular, course will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. It also present several extension like Smooth transition VARs, Threshold VAR, Time-Varying Coefficients VAR and FAVARs. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students."},{"$f":"IF($A51<>\"\",IF(ZOZNAM!M42=\"\",\"\",ZOZNAM!M42),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!N42=\"\",\"\",ZOZNAM!N42),\"\")","v":"nie"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!O42=\"\",\"\",ZOZNAM!O42),\"\")","v":"nie"},{"$f":"IF($A51<>\"\",IF(ZOZNAM!P42=\"\",\"\",ZOZNAM!P42),\"\")","v":1.99},{"$f":"IF($A51<>\"\",IF(ZOZNAM!Q42=\"\",\"\",ZOZNAM!Q42),\"\")","v":""},{"$f":"IF($A51<>\"\",IF(ZOZNAM!R42=\"\",\"\",ZOZNAM!R42),\"\")","v":""},{"$f":"IF($A51<>\"\",IF(ZOZNAM!S42=\"\",\"\",ZOZNAM!S42),\"\")","v":""},{"$f":"IF($A51<>\"\",IF(ZOZNAM!T42=\"\",\"\",ZOZNAM!T42),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C43)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C43)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C43)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C43)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C43)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C43)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L43)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L43)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L43)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L43)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L43)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L43)),FALSE))),ZOZNAM!G43>=$C$9),ZOZNAM!A43,\"\")","v":"BA134"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!B43=\"\",\"\",ZOZNAM!B43),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!C43=\"\",\"\",ZOZNAM!C43),\"\")","v":"Time-Series Methods for Financial Time Series (Macroeconometrics Summer School)"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!D43=\"\",\"\",ZOZNAM!D43),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!E43=\"\",\"\",ZOZNAM!E43),\"\")","v":5},{"$f":"IF($A52<>\"\",IF(ZOZNAM!F43=\"\",\"\",ZOZNAM!F43),\"\")","v":5},{"$f":"IF($A52<>\"\",IF(ZOZNAM!G43=\"\",\"\",ZOZNAM!G43),\"\")","v":"2019-07-08"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!H43=\"\",\"\",ZOZNAM!H43),\"\")","v":"2019-07-12"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!I43=\"\",\"\",ZOZNAM!I43),\"\")","v":"1 250 EUR"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!J43=\"\",\"\",ZOZNAM!J43),\"\")","v":""},{"$f":"IF($A52<>\"\",IF(ZOZNAM!K43=\"\",\"\",ZOZNAM!K43),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!L43=\"\",\"\",ZOZNAM!L43),\"\")","v":"The course provides an introduction to the state-of-the-art techniques for the analysis of ﬁnancial time series. The ﬁrst part of the course introduces univariate time series models used for the analysis of time-varying volatility (GARCH models) as well as multivariate timeseries models for the analysis of time-varying correlations (DCC models). The second part of the course presents empirical applications of GARCH-DCC models. These measures will then be employed to study the US ﬁnancial system in the 2007–2009 ﬁnancial crisis. "},{"$f":"IF($A52<>\"\",IF(ZOZNAM!M43=\"\",\"\",ZOZNAM!M43),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!N43=\"\",\"\",ZOZNAM!N43),\"\")","v":"nie"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!O43=\"\",\"\",ZOZNAM!O43),\"\")","v":"nie"},{"$f":"IF($A52<>\"\",IF(ZOZNAM!P43=\"\",\"\",ZOZNAM!P43),\"\")","v":1.99},{"$f":"IF($A52<>\"\",IF(ZOZNAM!Q43=\"\",\"\",ZOZNAM!Q43),\"\")","v":""},{"$f":"IF($A52<>\"\",IF(ZOZNAM!R43=\"\",\"\",ZOZNAM!R43),\"\")","v":""},{"$f":"IF($A52<>\"\",IF(ZOZNAM!S43=\"\",\"\",ZOZNAM!S43),\"\")","v":""},{"$f":"IF($A52<>\"\",IF(ZOZNAM!T43=\"\",\"\",ZOZNAM!T43),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C44)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C44)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C44)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C44)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C44)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C44)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L44)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L44)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L44)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L44)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L44)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L44)),FALSE))),ZOZNAM!G44>=$C$9),ZOZNAM!A44,\"\")","v":"BA135"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!B44=\"\",\"\",ZOZNAM!B44),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!C44=\"\",\"\",ZOZNAM!C44),\"\")","v":"Dynamic and Non-linear Panel Data Models (Microeconometrics Summer School)"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!D44=\"\",\"\",ZOZNAM!D44),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!E44=\"\",\"\",ZOZNAM!E44),\"\")","v":5},{"$f":"IF($A53<>\"\",IF(ZOZNAM!F44=\"\",\"\",ZOZNAM!F44),\"\")","v":5},{"$f":"IF($A53<>\"\",IF(ZOZNAM!G44=\"\",\"\",ZOZNAM!G44),\"\")","v":"2019-07-08"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!H44=\"\",\"\",ZOZNAM!H44),\"\")","v":"2019-07-12"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!I44=\"\",\"\",ZOZNAM!I44),\"\")","v":"1 250 EUR"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!J44=\"\",\"\",ZOZNAM!J44),\"\")","v":""},{"$f":"IF($A53<>\"\",IF(ZOZNAM!K44=\"\",\"\",ZOZNAM!K44),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!L44=\"\",\"\",ZOZNAM!L44),\"\")","v":"This course provides up-to-date coverage of dynamic panel data models, discrete choice panel data models as well as censored panel data models and the estimation of dynamic panel data models subject to selection. Apart from a review of relevant theory, the focus of the course is on the practical application of these models to various data contexts: small T – large N, unbalanced panels, rotating panels and pseudo panels constructed from cohort data. Course includes practical session resolved with STATA."},{"$f":"IF($A53<>\"\",IF(ZOZNAM!M44=\"\",\"\",ZOZNAM!M44),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!N44=\"\",\"\",ZOZNAM!N44),\"\")","v":"nie"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!O44=\"\",\"\",ZOZNAM!O44),\"\")","v":"nie"},{"$f":"IF($A53<>\"\",IF(ZOZNAM!P44=\"\",\"\",ZOZNAM!P44),\"\")","v":1.99},{"$f":"IF($A53<>\"\",IF(ZOZNAM!Q44=\"\",\"\",ZOZNAM!Q44),\"\")","v":""},{"$f":"IF($A53<>\"\",IF(ZOZNAM!R44=\"\",\"\",ZOZNAM!R44),\"\")","v":""},{"$f":"IF($A53<>\"\",IF(ZOZNAM!S44=\"\",\"\",ZOZNAM!S44),\"\")","v":""},{"$f":"IF($A53<>\"\",IF(ZOZNAM!T44=\"\",\"\",ZOZNAM!T44),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C45)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C45)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C45)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C45)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C45)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C45)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L45)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L45)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L45)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L45)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L45)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L45)),FALSE))),ZOZNAM!G45>=$C$9),ZOZNAM!A45,\"\")","v":"BA136"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!B45=\"\",\"\",ZOZNAM!B45),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!C45=\"\",\"\",ZOZNAM!C45),\"\")","v":"Dynamic Structural Models for Policy Evaluation (Microeconometrics Summer School)"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!D45=\"\",\"\",ZOZNAM!D45),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!E45=\"\",\"\",ZOZNAM!E45),\"\")","v":5},{"$f":"IF($A54<>\"\",IF(ZOZNAM!F45=\"\",\"\",ZOZNAM!F45),\"\")","v":5},{"$f":"IF($A54<>\"\",IF(ZOZNAM!G45=\"\",\"\",ZOZNAM!G45),\"\")","v":"2019-07-08"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!H45=\"\",\"\",ZOZNAM!H45),\"\")","v":"2019-07-12"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!I45=\"\",\"\",ZOZNAM!I45),\"\")","v":"1 250 EUR"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!J45=\"\",\"\",ZOZNAM!J45),\"\")","v":""},{"$f":"IF($A54<>\"\",IF(ZOZNAM!K45=\"\",\"\",ZOZNAM!K45),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!L45=\"\",\"\",ZOZNAM!L45),\"\")","v":"This course deals with methods and applications of dynamic discrete choice structural models in Economics. The methods that will be discussed are often used by researchers with interests in Labor Economics, Industrial Organization, Quantitative Macro, Development Economics and many other fields in Applied Micro. The course focuses on the estimation of dynamic discrete choice structural models that allow for modelling the behavior of forward looking agents making discrete decisions. These models constitute a useful tool for policy evaluation and an interesting complement to reduced form approaches. In particular, they have the advantage of allowing for ex-ante policy evaluation, and of providing external validity for the inference, subject to the model assumptions. \nPractical sessions will be devoted to the numerical solution and estimation of these models using STATA (MATA). "},{"$f":"IF($A54<>\"\",IF(ZOZNAM!M45=\"\",\"\",ZOZNAM!M45),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!N45=\"\",\"\",ZOZNAM!N45),\"\")","v":"nie"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!O45=\"\",\"\",ZOZNAM!O45),\"\")","v":"nie"},{"$f":"IF($A54<>\"\",IF(ZOZNAM!P45=\"\",\"\",ZOZNAM!P45),\"\")","v":1.99},{"$f":"IF($A54<>\"\",IF(ZOZNAM!Q45=\"\",\"\",ZOZNAM!Q45),\"\")","v":""},{"$f":"IF($A54<>\"\",IF(ZOZNAM!R45=\"\",\"\",ZOZNAM!R45),\"\")","v":""},{"$f":"IF($A54<>\"\",IF(ZOZNAM!S45=\"\",\"\",ZOZNAM!S45),\"\")","v":""},{"$f":"IF($A54<>\"\",IF(ZOZNAM!T45=\"\",\"\",ZOZNAM!T45),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C46)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C46)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C46)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C46)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C46)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C46)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L46)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L46)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L46)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L46)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L46)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L46)),FALSE))),ZOZNAM!G46>=$C$9),ZOZNAM!A46,\"\")","v":"BA139"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!B46=\"\",\"\",ZOZNAM!B46),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!C46=\"\",\"\",ZOZNAM!C46),\"\")","v":"Quantitative Methods for Public Policy Evaluation (Microeconometrics Summer School)"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!D46=\"\",\"\",ZOZNAM!D46),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!E46=\"\",\"\",ZOZNAM!E46),\"\")","v":5},{"$f":"IF($A55<>\"\",IF(ZOZNAM!F46=\"\",\"\",ZOZNAM!F46),\"\")","v":5},{"$f":"IF($A55<>\"\",IF(ZOZNAM!G46=\"\",\"\",ZOZNAM!G46),\"\")","v":"2019-07-08"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!H46=\"\",\"\",ZOZNAM!H46),\"\")","v":"2019-07-12"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!I46=\"\",\"\",ZOZNAM!I46),\"\")","v":"1 250 EUR"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!J46=\"\",\"\",ZOZNAM!J46),\"\")","v":""},{"$f":"IF($A55<>\"\",IF(ZOZNAM!K46=\"\",\"\",ZOZNAM!K46),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!L46=\"\",\"\",ZOZNAM!L46),\"\")","v":"The objective of this course is to introduce the main approaches used in the evaluation of public policies: randomized evaluations, natural experiments, the regression discontinuity design, selection on observables and difference-in- differences. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the sessions, each approach will be presented and illustrated with specific policies in the areas of labor, health, and education. \n"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!M46=\"\",\"\",ZOZNAM!M46),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!N46=\"\",\"\",ZOZNAM!N46),\"\")","v":"nie"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!O46=\"\",\"\",ZOZNAM!O46),\"\")","v":"nie"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!P46=\"\",\"\",ZOZNAM!P46),\"\")","v":1.99},{"$f":"IF($A55<>\"\",IF(ZOZNAM!Q46=\"\",\"\",ZOZNAM!Q46),\"\")","v":2.4},{"$f":"IF($A55<>\"\",IF(ZOZNAM!R46=\"\",\"\",ZOZNAM!R46),\"\")","v":5},{"$f":"IF($A55<>\"\",IF(ZOZNAM!S46=\"\",\"\",ZOZNAM!S46),\"\")","v":"Pokročilým"},{"$f":"IF($A55<>\"\",IF(ZOZNAM!T46=\"\",\"\",ZOZNAM!T46),\"\")","v":"Kurz bol orientovaný na teoretické poznatky, ich uplatnenie v praxi bolo zrýchlené. Účastníkom boli poskytnuté materiály a kontakty, ktoré umožnia aplikovanie poznatkov do praxe aj po skončení kurzu. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C47)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C47)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C47)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C47)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C47)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C47)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L47)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L47)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L47)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L47)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L47)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L47)),FALSE))),ZOZNAM!G47>=$C$9),ZOZNAM!A47,\"\")","v":"BA141"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!B47=\"\",\"\",ZOZNAM!B47),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!C47=\"\",\"\",ZOZNAM!C47),\"\")","v":"Contracts and Networks in Poor Countries: Data, Tools and Theory"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!D47=\"\",\"\",ZOZNAM!D47),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!E47=\"\",\"\",ZOZNAM!E47),\"\")","v":5},{"$f":"IF($A56<>\"\",IF(ZOZNAM!F47=\"\",\"\",ZOZNAM!F47),\"\")","v":5},{"$f":"IF($A56<>\"\",IF(ZOZNAM!G47=\"\",\"\",ZOZNAM!G47),\"\")","v":"2019-07-08"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!H47=\"\",\"\",ZOZNAM!H47),\"\")","v":"2019-07-12"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!I47=\"\",\"\",ZOZNAM!I47),\"\")","v":"1 050 EUR"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!J47=\"\",\"\",ZOZNAM!J47),\"\")","v":""},{"$f":"IF($A56<>\"\",IF(ZOZNAM!K47=\"\",\"\",ZOZNAM!K47),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/development-economics"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!L47=\"\",\"\",ZOZNAM!L47),\"\")","v":"This course focuses on the main areas of development where contract theory and networks have been shown to matter most. The course emphasizes practical methods for the analysis of contracts and network data and the estimation of these theories, and the derivation of precise policy prescriptions."},{"$f":"IF($A56<>\"\",IF(ZOZNAM!M47=\"\",\"\",ZOZNAM!M47),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!N47=\"\",\"\",ZOZNAM!N47),\"\")","v":"nie"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!O47=\"\",\"\",ZOZNAM!O47),\"\")","v":"nie"},{"$f":"IF($A56<>\"\",IF(ZOZNAM!P47=\"\",\"\",ZOZNAM!P47),\"\")","v":1.99},{"$f":"IF($A56<>\"\",IF(ZOZNAM!Q47=\"\",\"\",ZOZNAM!Q47),\"\")","v":""},{"$f":"IF($A56<>\"\",IF(ZOZNAM!R47=\"\",\"\",ZOZNAM!R47),\"\")","v":""},{"$f":"IF($A56<>\"\",IF(ZOZNAM!S47=\"\",\"\",ZOZNAM!S47),\"\")","v":""},{"$f":"IF($A56<>\"\",IF(ZOZNAM!T47=\"\",\"\",ZOZNAM!T47),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C48)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C48)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C48)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C48)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C48)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C48)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L48)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L48)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L48)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L48)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L48)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L48)),FALSE))),ZOZNAM!G48>=$C$9),ZOZNAM!A48,\"\")","v":"BA117"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!B48=\"\",\"\",ZOZNAM!B48),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!C48=\"\",\"\",ZOZNAM!C48),\"\")","v":"Macro-prudential Policy in Theory and Practice (CREI Macroeconomics Summer School)"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!D48=\"\",\"\",ZOZNAM!D48),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!E48=\"\",\"\",ZOZNAM!E48),\"\")","v":5},{"$f":"IF($A57<>\"\",IF(ZOZNAM!F48=\"\",\"\",ZOZNAM!F48),\"\")","v":5},{"$f":"IF($A57<>\"\",IF(ZOZNAM!G48=\"\",\"\",ZOZNAM!G48),\"\")","v":"2019-07-15"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!H48=\"\",\"\",ZOZNAM!H48),\"\")","v":"2019-07-19"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!I48=\"\",\"\",ZOZNAM!I48),\"\")","v":"1 150 EUR"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!J48=\"\",\"\",ZOZNAM!J48),\"\")","v":""},{"$f":"IF($A57<>\"\",IF(ZOZNAM!K48=\"\",\"\",ZOZNAM!K48),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!L48=\"\",\"\",ZOZNAM!L48),\"\")","v":"This course provides an overview of the key conceptual and practical questions regarding macro-prudential policy. Firstly, it reviews the theoretical foundations for macro-prudential policy, and develop a macroeconomic workhorse model to think about its costs and benefits. Then, empirical evidence, analyzing both the types of macro-prudential measures used in practice and their effectiveness. Course use workhorse model to shed light on three key debates regarding macro-prudential policy: \n- What are the trade-offs between the ex ante adoption of prudential policies and ex post interventions during crises;\n- Should macro-prudential and monetary policies be conducted in a coordinated fashion\n- How should macro-prudential policy react to asset bubbles"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!M48=\"\",\"\",ZOZNAM!M48),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!N48=\"\",\"\",ZOZNAM!N48),\"\")","v":"nie"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!O48=\"\",\"\",ZOZNAM!O48),\"\")","v":"nie"},{"$f":"IF($A57<>\"\",IF(ZOZNAM!P48=\"\",\"\",ZOZNAM!P48),\"\")","v":1.99},{"$f":"IF($A57<>\"\",IF(ZOZNAM!Q48=\"\",\"\",ZOZNAM!Q48),\"\")","v":""},{"$f":"IF($A57<>\"\",IF(ZOZNAM!R48=\"\",\"\",ZOZNAM!R48),\"\")","v":""},{"$f":"IF($A57<>\"\",IF(ZOZNAM!S48=\"\",\"\",ZOZNAM!S48),\"\")","v":""},{"$f":"IF($A57<>\"\",IF(ZOZNAM!T48=\"\",\"\",ZOZNAM!T48),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C49)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C49)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C49)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C49)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C49)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C49)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L49)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L49)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L49)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L49)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L49)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L49)),FALSE))),ZOZNAM!G49>=$C$9),ZOZNAM!A49,\"\")","v":"BA120"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!B49=\"\",\"\",ZOZNAM!B49),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!C49=\"\",\"\",ZOZNAM!C49),\"\")","v":"Sovereign Debt Crises: Theory, Evidence, and Policy (CREI Macroeconomics Summer School)"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!D49=\"\",\"\",ZOZNAM!D49),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!E49=\"\",\"\",ZOZNAM!E49),\"\")","v":5},{"$f":"IF($A58<>\"\",IF(ZOZNAM!F49=\"\",\"\",ZOZNAM!F49),\"\")","v":5},{"$f":"IF($A58<>\"\",IF(ZOZNAM!G49=\"\",\"\",ZOZNAM!G49),\"\")","v":"2019-07-15"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!H49=\"\",\"\",ZOZNAM!H49),\"\")","v":"2019-07-19"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!I49=\"\",\"\",ZOZNAM!I49),\"\")","v":"1 150 EUR"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!J49=\"\",\"\",ZOZNAM!J49),\"\")","v":""},{"$f":"IF($A58<>\"\",IF(ZOZNAM!K49=\"\",\"\",ZOZNAM!K49),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!L49=\"\",\"\",ZOZNAM!L49),\"\")","v":"This course provides an overview of sovereign debt crises from theoretical, empirical and policy points of view. It covers both traditional and new theories that emphasize the interplay between international and domestic financial markets, and the relevant empirical evidence. It discusses the distinction between liquidity and solvency crises and the appropriate policy responses and includes an analysis of the European crisis.\nSelected Topics of course are:\n- What are the costs of sovereign default\n- Reputation and sanctions\n- Market structure and defaults: - \n- Secondary markets and collateral damage\n- Rollover crises: Lender of last resort and moral hazard\n- Solvency crises: Debt overhang, buybacks and restructuring"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!M49=\"\",\"\",ZOZNAM!M49),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!N49=\"\",\"\",ZOZNAM!N49),\"\")","v":"nie"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!O49=\"\",\"\",ZOZNAM!O49),\"\")","v":"nie"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!P49=\"\",\"\",ZOZNAM!P49),\"\")","v":1.99},{"$f":"IF($A58<>\"\",IF(ZOZNAM!Q49=\"\",\"\",ZOZNAM!Q49),\"\")","v":1.6},{"$f":"IF($A58<>\"\",IF(ZOZNAM!R49=\"\",\"\",ZOZNAM!R49),\"\")","v":3},{"$f":"IF($A58<>\"\",IF(ZOZNAM!S49=\"\",\"\",ZOZNAM!S49),\"\")","v":"Pokročilým"},{"$f":"IF($A58<>\"\",IF(ZOZNAM!T49=\"\",\"\",ZOZNAM!T49),\"\")","v":"Kurz je orientovaný najmä teoreticky. Klasická prednáška s jednoduchým matematickým modelovaním, účastníci využívajú znalosti pri tvorbe fiškálneho bloku v GAP modeli."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C50)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C50)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C50)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C50)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C50)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C50)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L50)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L50)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L50)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L50)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L50)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L50)),FALSE))),ZOZNAM!G50>=$C$9),ZOZNAM!A50,\"\")","v":"BA123"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!B50=\"\",\"\",ZOZNAM!B50),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!C50=\"\",\"\",ZOZNAM!C50),\"\")","v":"Deep Learning and Applications (Data Science Summer School)"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!D50=\"\",\"\",ZOZNAM!D50),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!E50=\"\",\"\",ZOZNAM!E50),\"\")","v":5},{"$f":"IF($A59<>\"\",IF(ZOZNAM!F50=\"\",\"\",ZOZNAM!F50),\"\")","v":5},{"$f":"IF($A59<>\"\",IF(ZOZNAM!G50=\"\",\"\",ZOZNAM!G50),\"\")","v":"2019-07-15"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!H50=\"\",\"\",ZOZNAM!H50),\"\")","v":"2019-07-19"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!I50=\"\",\"\",ZOZNAM!I50),\"\")","v":"2 000 EUR"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!J50=\"\",\"\",ZOZNAM!J50),\"\")","v":""},{"$f":"IF($A59<>\"\",IF(ZOZNAM!K50=\"\",\"\",ZOZNAM!K50),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/data-science"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!L50=\"\",\"\",ZOZNAM!L50),\"\")","v":"This course will introduce several aspects of modern machine learning, deep learning and it’s applications:\n- An overall introduction to Deep Learning covering convolutional networks, recurrent neural networks, autoencoders and multilayer deep networks. The course includes a 2-hour tutorial on how to code these types of networks using the popular ‘keras’ library for python.\n- Deep Learning for Recommender systems where we deal with the application of advanced Machine Learning and Deep Learning methods in recommender systems. Here, the course address Tensor Factorization, Factorization Machines, 2vec type embeddings, Deep Collaborative Filtering techniques such as Autoencoders for Collaborative Filtering, RNN’s for session-based recommendations and convolutional networks for feature extraction. \n- Natural Language Processing with Deep Learning, this module will focus on several aspects of modern NLP such as language modeling, word and document embeddings, conversational models and visualization and the use of Deep Learning models to perform these tasks also including a hands-on session where several of these tasks are coded with keras."},{"$f":"IF($A59<>\"\",IF(ZOZNAM!M50=\"\",\"\",ZOZNAM!M50),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!N50=\"\",\"\",ZOZNAM!N50),\"\")","v":"nie"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!O50=\"\",\"\",ZOZNAM!O50),\"\")","v":"nie"},{"$f":"IF($A59<>\"\",IF(ZOZNAM!P50=\"\",\"\",ZOZNAM!P50),\"\")","v":1.99},{"$f":"IF($A59<>\"\",IF(ZOZNAM!Q50=\"\",\"\",ZOZNAM!Q50),\"\")","v":""},{"$f":"IF($A59<>\"\",IF(ZOZNAM!R50=\"\",\"\",ZOZNAM!R50),\"\")","v":""},{"$f":"IF($A59<>\"\",IF(ZOZNAM!S50=\"\",\"\",ZOZNAM!S50),\"\")","v":""},{"$f":"IF($A59<>\"\",IF(ZOZNAM!T50=\"\",\"\",ZOZNAM!T50),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C51)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C51)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C51)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C51)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C51)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C51)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L51)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L51)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L51)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L51)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L51)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L51)),FALSE))),ZOZNAM!G51>=$C$9),ZOZNAM!A51,\"\")","v":"BA133"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!B51=\"\",\"\",ZOZNAM!B51),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!C51=\"\",\"\",ZOZNAM!C51),\"\")","v":"Time Series Methods for Macroeconomic Analysis: Part 2 (Macroeconometrics Summer School)"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!D51=\"\",\"\",ZOZNAM!D51),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!E51=\"\",\"\",ZOZNAM!E51),\"\")","v":5},{"$f":"IF($A60<>\"\",IF(ZOZNAM!F51=\"\",\"\",ZOZNAM!F51),\"\")","v":5},{"$f":"IF($A60<>\"\",IF(ZOZNAM!G51=\"\",\"\",ZOZNAM!G51),\"\")","v":"2019-07-15"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!H51=\"\",\"\",ZOZNAM!H51),\"\")","v":"2019-07-19"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!I51=\"\",\"\",ZOZNAM!I51),\"\")","v":"2 125 EUR"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!J51=\"\",\"\",ZOZNAM!J51),\"\")","v":""},{"$f":"IF($A60<>\"\",IF(ZOZNAM!K51=\"\",\"\",ZOZNAM!K51),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!L51=\"\",\"\",ZOZNAM!L51),\"\")","v":"The starting point of the course is to discuss potential pitfalls arising in VAR models. More specifically, the issue of non-fundamentalness and non-invertibility, a problem that arises because of the typical gap between the information set of the econometrician and that of the agents. In particular it will present and discuss models for large-N, including Factor models and FAVARs. In this context, course will review several applications, among others the news-driven business cycles debate and the fiscal foresight literature.\n\nNext, participants will study the implications of relaxing the assumption of perfect shocks observability for structural analysis with empirical models. They will see how to perform macroeconomic and policy analysis under the assumption that economic agents only observe a noisy signal of the structural shocks by means of dynamic identification. \n"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!M51=\"\",\"\",ZOZNAM!M51),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!N51=\"\",\"\",ZOZNAM!N51),\"\")","v":"nie"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!O51=\"\",\"\",ZOZNAM!O51),\"\")","v":"nie"},{"$f":"IF($A60<>\"\",IF(ZOZNAM!P51=\"\",\"\",ZOZNAM!P51),\"\")","v":1.99},{"$f":"IF($A60<>\"\",IF(ZOZNAM!Q51=\"\",\"\",ZOZNAM!Q51),\"\")","v":""},{"$f":"IF($A60<>\"\",IF(ZOZNAM!R51=\"\",\"\",ZOZNAM!R51),\"\")","v":""},{"$f":"IF($A60<>\"\",IF(ZOZNAM!S51=\"\",\"\",ZOZNAM!S51),\"\")","v":""},{"$f":"IF($A60<>\"\",IF(ZOZNAM!T51=\"\",\"\",ZOZNAM!T51),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C52)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C52)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C52)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C52)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C52)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C52)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L52)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L52)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L52)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L52)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L52)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L52)),FALSE))),ZOZNAM!G52>=$C$9),ZOZNAM!A52,\"\")","v":"BU141"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!B52=\"\",\"\",ZOZNAM!B52),\"\")","v":"Budapest School for Central Bank Studies"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!C52=\"\",\"\",ZOZNAM!C52),\"\")","v":"Time series methods for the study of the transmission of monetary and fiscal policies"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!D52=\"\",\"\",ZOZNAM!D52),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!E52=\"\",\"\",ZOZNAM!E52),\"\")","v":5},{"$f":"IF($A61<>\"\",IF(ZOZNAM!F52=\"\",\"\",ZOZNAM!F52),\"\")","v":5},{"$f":"IF($A61<>\"\",IF(ZOZNAM!G52=\"\",\"\",ZOZNAM!G52),\"\")","v":"2019-04-01"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!H52=\"\",\"\",ZOZNAM!H52),\"\")","v":"2019-04-05"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!I52=\"\",\"\",ZOZNAM!I52),\"\")","v":"1 400 EUR"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!J52=\"\",\"\",ZOZNAM!J52),\"\")","v":"2019-03-10"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!K52=\"\",\"\",ZOZNAM!K52),\"\")","v":"https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!L52=\"\",\"\",ZOZNAM!L52),\"\")","v":"This course cover topics:\nSVARs, local projections and IV approach to measure causal effects;\nBayesian SVARs; \nFactor models and FAVARs; \nMeasurement of gap and potentials;\nForecasting. Unconditional and conditional projections. Scenario analysis."},{"$f":"IF($A61<>\"\",IF(ZOZNAM!M52=\"\",\"\",ZOZNAM!M52),\"\")","v":""},{"$f":"IF($A61<>\"\",IF(ZOZNAM!N52=\"\",\"\",ZOZNAM!N52),\"\")","v":"nie"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!O52=\"\",\"\",ZOZNAM!O52),\"\")","v":"nie"},{"$f":"IF($A61<>\"\",IF(ZOZNAM!P52=\"\",\"\",ZOZNAM!P52),\"\")","v":""},{"$f":"IF($A61<>\"\",IF(ZOZNAM!Q52=\"\",\"\",ZOZNAM!Q52),\"\")","v":""},{"$f":"IF($A61<>\"\",IF(ZOZNAM!R52=\"\",\"\",ZOZNAM!R52),\"\")","v":""},{"$f":"IF($A61<>\"\",IF(ZOZNAM!S52=\"\",\"\",ZOZNAM!S52),\"\")","v":""},{"$f":"IF($A61<>\"\",IF(ZOZNAM!T52=\"\",\"\",ZOZNAM!T52),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C53)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C53)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C53)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C53)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C53)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C53)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L53)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L53)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L53)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L53)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L53)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L53)),FALSE))),ZOZNAM!G53>=$C$9),ZOZNAM!A53,\"\")","v":"BU142"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!B53=\"\",\"\",ZOZNAM!B53),\"\")","v":"Budapest School for Central Bank Studies"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!C53=\"\",\"\",ZOZNAM!C53),\"\")","v":"Sticky price models for monetary economics: tools, scopes and limits"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!D53=\"\",\"\",ZOZNAM!D53),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!E53=\"\",\"\",ZOZNAM!E53),\"\")","v":5},{"$f":"IF($A62<>\"\",IF(ZOZNAM!F53=\"\",\"\",ZOZNAM!F53),\"\")","v":5},{"$f":"IF($A62<>\"\",IF(ZOZNAM!G53=\"\",\"\",ZOZNAM!G53),\"\")","v":"2019-04-08"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!H53=\"\",\"\",ZOZNAM!H53),\"\")","v":"2019-04-12"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!I53=\"\",\"\",ZOZNAM!I53),\"\")","v":"1 400 EUR"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!J53=\"\",\"\",ZOZNAM!J53),\"\")","v":"2019-03-10"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!K53=\"\",\"\",ZOZNAM!K53),\"\")","v":"https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!L53=\"\",\"\",ZOZNAM!L53),\"\")","v":"This course cover topics:\n\nTools for the  analysis  of nonlinear  models;\nApplications to price setting with menu cost (Partial  and  General  equilibrium settings);\nSufficient statistics for monetary policy: a simple tool to analyze the aggregate stickiness of an economy in a large class of economies\nApplications. Price setting with observation cost."},{"$f":"IF($A62<>\"\",IF(ZOZNAM!M53=\"\",\"\",ZOZNAM!M53),\"\")","v":""},{"$f":"IF($A62<>\"\",IF(ZOZNAM!N53=\"\",\"\",ZOZNAM!N53),\"\")","v":"nie"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!O53=\"\",\"\",ZOZNAM!O53),\"\")","v":"nie"},{"$f":"IF($A62<>\"\",IF(ZOZNAM!P53=\"\",\"\",ZOZNAM!P53),\"\")","v":""},{"$f":"IF($A62<>\"\",IF(ZOZNAM!Q53=\"\",\"\",ZOZNAM!Q53),\"\")","v":""},{"$f":"IF($A62<>\"\",IF(ZOZNAM!R53=\"\",\"\",ZOZNAM!R53),\"\")","v":""},{"$f":"IF($A62<>\"\",IF(ZOZNAM!S53=\"\",\"\",ZOZNAM!S53),\"\")","v":""},{"$f":"IF($A62<>\"\",IF(ZOZNAM!T53=\"\",\"\",ZOZNAM!T53),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C54)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C54)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C54)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C54)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C54)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C54)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L54)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L54)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L54)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L54)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L54)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L54)),FALSE))),ZOZNAM!G54>=$C$9),ZOZNAM!A54,\"\")","v":"BU143"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!B54=\"\",\"\",ZOZNAM!B54),\"\")","v":"Budapest School for Central Bank Studies"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!C54=\"\",\"\",ZOZNAM!C54),\"\")","v":"Hands-On Heterogeneous Agent Macroeconomics"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!D54=\"\",\"\",ZOZNAM!D54),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!E54=\"\",\"\",ZOZNAM!E54),\"\")","v":5},{"$f":"IF($A63<>\"\",IF(ZOZNAM!F54=\"\",\"\",ZOZNAM!F54),\"\")","v":5},{"$f":"IF($A63<>\"\",IF(ZOZNAM!G54=\"\",\"\",ZOZNAM!G54),\"\")","v":"2019-07-22"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!H54=\"\",\"\",ZOZNAM!H54),\"\")","v":"2019-07-26"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!I54=\"\",\"\",ZOZNAM!I54),\"\")","v":"1 400 EUR"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!J54=\"\",\"\",ZOZNAM!J54),\"\")","v":"2019-06-30"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!K54=\"\",\"\",ZOZNAM!K54),\"\")","v":"https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!L54=\"\",\"\",ZOZNAM!L54),\"\")","v":"This course cover topics:\n\nBuilding 'Serious' Microfoundations;\nIntroduction to the [Econ-ARK/HARK](http://econ-ark.org) toolkit;\nAggregation and Steady States;\nBusiness Cycle Dynamics;\nFuture Directions for Heterogeneous Agent Macro Research"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!M54=\"\",\"\",ZOZNAM!M54),\"\")","v":""},{"$f":"IF($A63<>\"\",IF(ZOZNAM!N54=\"\",\"\",ZOZNAM!N54),\"\")","v":"nie"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!O54=\"\",\"\",ZOZNAM!O54),\"\")","v":"nie"},{"$f":"IF($A63<>\"\",IF(ZOZNAM!P54=\"\",\"\",ZOZNAM!P54),\"\")","v":""},{"$f":"IF($A63<>\"\",IF(ZOZNAM!Q54=\"\",\"\",ZOZNAM!Q54),\"\")","v":""},{"$f":"IF($A63<>\"\",IF(ZOZNAM!R54=\"\",\"\",ZOZNAM!R54),\"\")","v":""},{"$f":"IF($A63<>\"\",IF(ZOZNAM!S54=\"\",\"\",ZOZNAM!S54),\"\")","v":""},{"$f":"IF($A63<>\"\",IF(ZOZNAM!T54=\"\",\"\",ZOZNAM!T54),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C55)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C55)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C55)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C55)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C55)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C55)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L55)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L55)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L55)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L55)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L55)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L55)),FALSE))),ZOZNAM!G55>=$C$9),ZOZNAM!A55,\"\")","v":"BU144"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!B55=\"\",\"\",ZOZNAM!B55),\"\")","v":"Budapest School for Central Bank Studies"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!C55=\"\",\"\",ZOZNAM!C55),\"\")","v":"Advances in structural vector autoregressions (SVAR) and dynamic stochastic general equilibrium models (DSGE) "},{"$f":"IF($A64<>\"\",IF(ZOZNAM!D55=\"\",\"\",ZOZNAM!D55),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!E55=\"\",\"\",ZOZNAM!E55),\"\")","v":5},{"$f":"IF($A64<>\"\",IF(ZOZNAM!F55=\"\",\"\",ZOZNAM!F55),\"\")","v":5},{"$f":"IF($A64<>\"\",IF(ZOZNAM!G55=\"\",\"\",ZOZNAM!G55),\"\")","v":"2019-07-29"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!H55=\"\",\"\",ZOZNAM!H55),\"\")","v":"2019-08-02"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!I55=\"\",\"\",ZOZNAM!I55),\"\")","v":"1 400 EUR"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!J55=\"\",\"\",ZOZNAM!J55),\"\")","v":"2019-06-30"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!K55=\"\",\"\",ZOZNAM!K55),\"\")","v":"https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!L55=\"\",\"\",ZOZNAM!L55),\"\")","v":"This course cover topics:\n\nNew identification schemes for VAR models;\n Simulation techniques for Bayesian SVAR;\n Time-varying SVAR models;\n Solving DSGE models with perturbation;\n Time-varying DSGE models"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!M55=\"\",\"\",ZOZNAM!M55),\"\")","v":""},{"$f":"IF($A64<>\"\",IF(ZOZNAM!N55=\"\",\"\",ZOZNAM!N55),\"\")","v":"nie"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!O55=\"\",\"\",ZOZNAM!O55),\"\")","v":"nie"},{"$f":"IF($A64<>\"\",IF(ZOZNAM!P55=\"\",\"\",ZOZNAM!P55),\"\")","v":""},{"$f":"IF($A64<>\"\",IF(ZOZNAM!Q55=\"\",\"\",ZOZNAM!Q55),\"\")","v":""},{"$f":"IF($A64<>\"\",IF(ZOZNAM!R55=\"\",\"\",ZOZNAM!R55),\"\")","v":""},{"$f":"IF($A64<>\"\",IF(ZOZNAM!S55=\"\",\"\",ZOZNAM!S55),\"\")","v":""},{"$f":"IF($A64<>\"\",IF(ZOZNAM!T55=\"\",\"\",ZOZNAM!T55),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C56)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C56)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C56)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C56)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C56)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C56)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L56)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L56)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L56)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L56)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L56)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L56)),FALSE))),ZOZNAM!G56>=$C$9),ZOZNAM!A56,\"\")","v":"CE146"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!B56=\"\",\"\",ZOZNAM!B56),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!C56=\"\",\"\",ZOZNAM!C56),\"\")","v":"Revenue Forecasting"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!D56=\"\",\"\",ZOZNAM!D56),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!E56=\"\",\"\",ZOZNAM!E56),\"\")","v":3},{"$f":"IF($A65<>\"\",IF(ZOZNAM!F56=\"\",\"\",ZOZNAM!F56),\"\")","v":3},{"$f":"IF($A65<>\"\",IF(ZOZNAM!G56=\"\",\"\",ZOZNAM!G56),\"\")","v":"2019-01-29"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!H56=\"\",\"\",ZOZNAM!H56),\"\")","v":"2019-01-31"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!I56=\"\",\"\",ZOZNAM!I56),\"\")","v":"0 EUR"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!J56=\"\",\"\",ZOZNAM!J56),\"\")","v":"2018-12-12"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!K56=\"\",\"\",ZOZNAM!K56),\"\")","v":"https://www.cef-see.org/2019-rf"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!L56=\"\",\"\",ZOZNAM!L56),\"\")","v":"The workshop helped participants better understand the:\nrevenue forecasting process (incl. coverage and time-horizon, agencies involved, rules governing the process)\ndata requirements and various approaches used to forecast the revenues from different types of taxes and to assess the impact of policy changes\ndifferent perspectives of institutions involved in revenue forecasting and tax policy analysis\nimportance of timely and effective coordination for developing uniform views on the macroeconomic outlook triggering the revenue forecast, and assessing the revenue foregone through tax expenditures\nnature and source of underlying macroeconomic assumptions, and scope for discretionary adjustments of forecasts"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!M56=\"\",\"\",ZOZNAM!M56),\"\")","v":""},{"$f":"IF($A65<>\"\",IF(ZOZNAM!N56=\"\",\"\",ZOZNAM!N56),\"\")","v":"nie "},{"$f":"IF($A65<>\"\",IF(ZOZNAM!O56=\"\",\"\",ZOZNAM!O56),\"\")","v":"nie"},{"$f":"IF($A65<>\"\",IF(ZOZNAM!P56=\"\",\"\",ZOZNAM!P56),\"\")","v":""},{"$f":"IF($A65<>\"\",IF(ZOZNAM!Q56=\"\",\"\",ZOZNAM!Q56),\"\")","v":""},{"$f":"IF($A65<>\"\",IF(ZOZNAM!R56=\"\",\"\",ZOZNAM!R56),\"\")","v":""},{"$f":"IF($A65<>\"\",IF(ZOZNAM!S56=\"\",\"\",ZOZNAM!S56),\"\")","v":""},{"$f":"IF($A65<>\"\",IF(ZOZNAM!T56=\"\",\"\",ZOZNAM!T56),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C57)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C57)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C57)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C57)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C57)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C57)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L57)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L57)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L57)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L57)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L57)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L57)),FALSE))),ZOZNAM!G57>=$C$9),ZOZNAM!A57,\"\")","v":"CE148"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!B57=\"\",\"\",ZOZNAM!B57),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!C57=\"\",\"\",ZOZNAM!C57),\"\")","v":"How Good Data Improves the Quality of Fiscal Policies and Documents"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!D57=\"\",\"\",ZOZNAM!D57),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!E57=\"\",\"\",ZOZNAM!E57),\"\")","v":3},{"$f":"IF($A66<>\"\",IF(ZOZNAM!F57=\"\",\"\",ZOZNAM!F57),\"\")","v":3},{"$f":"IF($A66<>\"\",IF(ZOZNAM!G57=\"\",\"\",ZOZNAM!G57),\"\")","v":"2019-02-11"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!H57=\"\",\"\",ZOZNAM!H57),\"\")","v":"2019-02-13"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!I57=\"\",\"\",ZOZNAM!I57),\"\")","v":"0 EUR"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!J57=\"\",\"\",ZOZNAM!J57),\"\")","v":""},{"$f":"IF($A66<>\"\",IF(ZOZNAM!K57=\"\",\"\",ZOZNAM!K57),\"\")","v":"https://www.cef-see.org/2019-data-erp"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!L57=\"\",\"\",ZOZNAM!L57),\"\")","v":"The workshop will address the importance of reliable fiscal statistics and fiscal reporting and their influence on policy choices and policy assessments. It will give the insight into the link between high quality data and accounting as a feed to the costing and benchmarking process and address the significance of consistency and comparability of fiscal reports.\nWorkshop will outline the influence of data used for fiscal reporting, costing and prioritization of policies on the achievement of countries’ overall fiscal objectives and will underline necessary capacity to formulate fiscal policy and monitor fiscal developments.\nstrengthening analytical capacities of institutions needed to improve fiscal policy-making and costing of structural reforms through better understanding of allocated data. PArticipants will discuss Government Finance Statistics (GFS) and Fiscal Code of Transparency, influence of accounting on costing and estimation of macroeconomic data depending on the methodology that is used."},{"$f":"IF($A66<>\"\",IF(ZOZNAM!M57=\"\",\"\",ZOZNAM!M57),\"\")","v":""},{"$f":"IF($A66<>\"\",IF(ZOZNAM!N57=\"\",\"\",ZOZNAM!N57),\"\")","v":"nie "},{"$f":"IF($A66<>\"\",IF(ZOZNAM!O57=\"\",\"\",ZOZNAM!O57),\"\")","v":"nie"},{"$f":"IF($A66<>\"\",IF(ZOZNAM!P57=\"\",\"\",ZOZNAM!P57),\"\")","v":""},{"$f":"IF($A66<>\"\",IF(ZOZNAM!Q57=\"\",\"\",ZOZNAM!Q57),\"\")","v":""},{"$f":"IF($A66<>\"\",IF(ZOZNAM!R57=\"\",\"\",ZOZNAM!R57),\"\")","v":""},{"$f":"IF($A66<>\"\",IF(ZOZNAM!S57=\"\",\"\",ZOZNAM!S57),\"\")","v":""},{"$f":"IF($A66<>\"\",IF(ZOZNAM!T57=\"\",\"\",ZOZNAM!T57),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C58)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C58)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C58)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C58)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C58)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C58)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L58)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L58)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L58)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L58)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L58)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L58)),FALSE))),ZOZNAM!G58>=$C$9),ZOZNAM!A58,\"\")","v":"CE147"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!B58=\"\",\"\",ZOZNAM!B58),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!C58=\"\",\"\",ZOZNAM!C58),\"\")","v":"Managing Financing and Costing of Health Care"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!D58=\"\",\"\",ZOZNAM!D58),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!E58=\"\",\"\",ZOZNAM!E58),\"\")","v":3},{"$f":"IF($A67<>\"\",IF(ZOZNAM!F58=\"\",\"\",ZOZNAM!F58),\"\")","v":3},{"$f":"IF($A67<>\"\",IF(ZOZNAM!G58=\"\",\"\",ZOZNAM!G58),\"\")","v":"2019-02-18"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!H58=\"\",\"\",ZOZNAM!H58),\"\")","v":"2019-02-20"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!I58=\"\",\"\",ZOZNAM!I58),\"\")","v":"0 EUR"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!J58=\"\",\"\",ZOZNAM!J58),\"\")","v":"2018-01-18"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!K58=\"\",\"\",ZOZNAM!K58),\"\")","v":"https://www.cef-see.org/2019-finance-health"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!L58=\"\",\"\",ZOZNAM!L58),\"\")","v":"The workshop will address possible approaches to improving health care financing and reducing sector specific fiscal risks. It will give an overview of the most common factors causing large inefficiencies in health spending and address how reduction of both allocative and productive inefficiencies enables to achieve the same health outcomes with less spending.\nThis workshop will outline the implications of health care reforms to achievement of countries’ overall fiscal objectives and assess possible tools for improving effectiveness and efficiency of this spending.proving health care financing and reducing sector specific fiscal risks through better coordination of allocated financial resources. Emphasis will be on the design of strategic purchases, structures for monitoring and evaluation of health care outcomes, and how performance information could be used in budgetary allocation decision-making."},{"$f":"IF($A67<>\"\",IF(ZOZNAM!M58=\"\",\"\",ZOZNAM!M58),\"\")","v":""},{"$f":"IF($A67<>\"\",IF(ZOZNAM!N58=\"\",\"\",ZOZNAM!N58),\"\")","v":"nie "},{"$f":"IF($A67<>\"\",IF(ZOZNAM!O58=\"\",\"\",ZOZNAM!O58),\"\")","v":"nie"},{"$f":"IF($A67<>\"\",IF(ZOZNAM!P58=\"\",\"\",ZOZNAM!P58),\"\")","v":""},{"$f":"IF($A67<>\"\",IF(ZOZNAM!Q58=\"\",\"\",ZOZNAM!Q58),\"\")","v":""},{"$f":"IF($A67<>\"\",IF(ZOZNAM!R58=\"\",\"\",ZOZNAM!R58),\"\")","v":""},{"$f":"IF($A67<>\"\",IF(ZOZNAM!S58=\"\",\"\",ZOZNAM!S58),\"\")","v":""},{"$f":"IF($A67<>\"\",IF(ZOZNAM!T58=\"\",\"\",ZOZNAM!T58),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C59)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C59)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C59)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C59)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C59)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C59)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L59)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L59)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L59)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L59)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L59)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L59)),FALSE))),ZOZNAM!G59>=$C$9),ZOZNAM!A59,\"\")","v":"CE149"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!B59=\"\",\"\",ZOZNAM!B59),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!C59=\"\",\"\",ZOZNAM!C59),\"\")","v":"Financial Statements: Increasing Transparency and Accountability"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!D59=\"\",\"\",ZOZNAM!D59),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!E59=\"\",\"\",ZOZNAM!E59),\"\")","v":3},{"$f":"IF($A68<>\"\",IF(ZOZNAM!F59=\"\",\"\",ZOZNAM!F59),\"\")","v":3},{"$f":"IF($A68<>\"\",IF(ZOZNAM!G59=\"\",\"\",ZOZNAM!G59),\"\")","v":"2019-03-11"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!H59=\"\",\"\",ZOZNAM!H59),\"\")","v":"2019-03-13"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!I59=\"\",\"\",ZOZNAM!I59),\"\")","v":"0 EUR"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!J59=\"\",\"\",ZOZNAM!J59),\"\")","v":""},{"$f":"IF($A68<>\"\",IF(ZOZNAM!K59=\"\",\"\",ZOZNAM!K59),\"\")","v":"https://www.cef-see.org/2019-financial-statements"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!L59=\"\",\"\",ZOZNAM!L59),\"\")","v":"The learning initiative provide an overall context of financial reporting, examined the connection between reliable financial reporting and move to accrual accounting, discusse the links between financial reporting and fiscal statistics, considere better coverage of reporting entities, stocks, flows, and the role of external audit and the practical challenges of addressing issues of broadening the scope and usefulness of financial statements. \nWorkshop encompassed practical exercises and group discussions and we heard a country best practice in preparing quality financial statements in accrual accounting system. \nDuring workshop participants are addressed about:\n- how financial reporting is linked to accrual accounting and IPSAS key standards\n- how financial statements contribute to decision-making\n- how and to what extent fiscal risks are reported/contained in general purpose financial statements compliant to IPSAS\n- how financial reporting is linked to fiscal statistics (GFS)\n- how financial statements are prepared in different countries, what are challenges, opportunities and successful stories\n- what are good practices in preparing financial statements"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!M59=\"\",\"\",ZOZNAM!M59),\"\")","v":""},{"$f":"IF($A68<>\"\",IF(ZOZNAM!N59=\"\",\"\",ZOZNAM!N59),\"\")","v":"nie "},{"$f":"IF($A68<>\"\",IF(ZOZNAM!O59=\"\",\"\",ZOZNAM!O59),\"\")","v":"nie"},{"$f":"IF($A68<>\"\",IF(ZOZNAM!P59=\"\",\"\",ZOZNAM!P59),\"\")","v":""},{"$f":"IF($A68<>\"\",IF(ZOZNAM!Q59=\"\",\"\",ZOZNAM!Q59),\"\")","v":""},{"$f":"IF($A68<>\"\",IF(ZOZNAM!R59=\"\",\"\",ZOZNAM!R59),\"\")","v":""},{"$f":"IF($A68<>\"\",IF(ZOZNAM!S59=\"\",\"\",ZOZNAM!S59),\"\")","v":""},{"$f":"IF($A68<>\"\",IF(ZOZNAM!T59=\"\",\"\",ZOZNAM!T59),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C60)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C60)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C60)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C60)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C60)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C60)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L60)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L60)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L60)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L60)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L60)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L60)),FALSE))),ZOZNAM!G60>=$C$9),ZOZNAM!A60,\"\")","v":"CE150"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!B60=\"\",\"\",ZOZNAM!B60),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!C60=\"\",\"\",ZOZNAM!C60),\"\")","v":"Transfer Pricing"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!D60=\"\",\"\",ZOZNAM!D60),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!E60=\"\",\"\",ZOZNAM!E60),\"\")","v":3},{"$f":"IF($A69<>\"\",IF(ZOZNAM!F60=\"\",\"\",ZOZNAM!F60),\"\")","v":3},{"$f":"IF($A69<>\"\",IF(ZOZNAM!G60=\"\",\"\",ZOZNAM!G60),\"\")","v":"2019-03-12"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!H60=\"\",\"\",ZOZNAM!H60),\"\")","v":"2019-03-14"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!I60=\"\",\"\",ZOZNAM!I60),\"\")","v":"0 EUR"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!J60=\"\",\"\",ZOZNAM!J60),\"\")","v":"2019-02-18"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!K60=\"\",\"\",ZOZNAM!K60),\"\")","v":"https://www.cef-see.org/2019-transfer-pricing"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!L60=\"\",\"\",ZOZNAM!L60),\"\")","v":"The workshop is part of the Tax Policy and Administration Learning Program, whose overall objective is to contribute to strengthening of beneficiary institutions’ capacity in implementing the EU recommendations under which the revenue authorities can enhance tax compliance risk management.\nCourse is focused on:\nCorporate taxpayers experience challenges if they are simultaneously subject to two or more tax systems, resulting in higher compliance costs  and an increased exposure to tax risks.\nThe workshop is provided as a platform to discuss those challenges, and focus in particular on the international tax aspects of corporate tax planning. \nCourse address topics: \nBase Erosion and Profit-Shifting (BEPS) update; \nTransfer Pricing: accurate delineation of the transaction, analyzing risk; Profit Split; Intangibles; Financing and Trafsfer Pricing issues;\nChallenges of digitalization of the economy"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!M60=\"\",\"\",ZOZNAM!M60),\"\")","v":""},{"$f":"IF($A69<>\"\",IF(ZOZNAM!N60=\"\",\"\",ZOZNAM!N60),\"\")","v":"nie"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!O60=\"\",\"\",ZOZNAM!O60),\"\")","v":"nie"},{"$f":"IF($A69<>\"\",IF(ZOZNAM!P60=\"\",\"\",ZOZNAM!P60),\"\")","v":""},{"$f":"IF($A69<>\"\",IF(ZOZNAM!Q60=\"\",\"\",ZOZNAM!Q60),\"\")","v":""},{"$f":"IF($A69<>\"\",IF(ZOZNAM!R60=\"\",\"\",ZOZNAM!R60),\"\")","v":""},{"$f":"IF($A69<>\"\",IF(ZOZNAM!S60=\"\",\"\",ZOZNAM!S60),\"\")","v":""},{"$f":"IF($A69<>\"\",IF(ZOZNAM!T60=\"\",\"\",ZOZNAM!T60),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C61)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C61)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C61)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C61)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C61)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C61)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L61)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L61)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L61)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L61)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L61)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L61)),FALSE))),ZOZNAM!G61>=$C$9),ZOZNAM!A61,\"\")","v":"CE145"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!B61=\"\",\"\",ZOZNAM!B61),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!C61=\"\",\"\",ZOZNAM!C61),\"\")","v":"Monetary and Financial Statistics"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!D61=\"\",\"\",ZOZNAM!D61),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!E61=\"\",\"\",ZOZNAM!E61),\"\")","v":5},{"$f":"IF($A70<>\"\",IF(ZOZNAM!F61=\"\",\"\",ZOZNAM!F61),\"\")","v":5},{"$f":"IF($A70<>\"\",IF(ZOZNAM!G61=\"\",\"\",ZOZNAM!G61),\"\")","v":"2019-04-01"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!H61=\"\",\"\",ZOZNAM!H61),\"\")","v":"2019-04-05"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!I61=\"\",\"\",ZOZNAM!I61),\"\")","v":"0 EUR"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!J61=\"\",\"\",ZOZNAM!J61),\"\")","v":""},{"$f":"IF($A70<>\"\",IF(ZOZNAM!K61=\"\",\"\",ZOZNAM!K61),\"\")","v":"https://www.cef-see.org/2019-m-f-stats"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!L61=\"\",\"\",ZOZNAM!L61),\"\")","v":""},{"$f":"IF($A70<>\"\",IF(ZOZNAM!M61=\"\",\"\",ZOZNAM!M61),\"\")","v":"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!N61=\"\",\"\",ZOZNAM!N61),\"\")","v":"nie "},{"$f":"IF($A70<>\"\",IF(ZOZNAM!O61=\"\",\"\",ZOZNAM!O61),\"\")","v":"nie"},{"$f":"IF($A70<>\"\",IF(ZOZNAM!P61=\"\",\"\",ZOZNAM!P61),\"\")","v":""},{"$f":"IF($A70<>\"\",IF(ZOZNAM!Q61=\"\",\"\",ZOZNAM!Q61),\"\")","v":""},{"$f":"IF($A70<>\"\",IF(ZOZNAM!R61=\"\",\"\",ZOZNAM!R61),\"\")","v":""},{"$f":"IF($A70<>\"\",IF(ZOZNAM!S61=\"\",\"\",ZOZNAM!S61),\"\")","v":""},{"$f":"IF($A70<>\"\",IF(ZOZNAM!T61=\"\",\"\",ZOZNAM!T61),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C62)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C62)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C62)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C62)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C62)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C62)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L62)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L62)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L62)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L62)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L62)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L62)),FALSE))),ZOZNAM!G62>=$C$9),ZOZNAM!A62,\"\")","v":"CE151"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!B62=\"\",\"\",ZOZNAM!B62),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!C62=\"\",\"\",ZOZNAM!C62),\"\")","v":"Planning and Prioritizing Public Investment Projects"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!D62=\"\",\"\",ZOZNAM!D62),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!E62=\"\",\"\",ZOZNAM!E62),\"\")","v":3},{"$f":"IF($A71<>\"\",IF(ZOZNAM!F62=\"\",\"\",ZOZNAM!F62),\"\")","v":3},{"$f":"IF($A71<>\"\",IF(ZOZNAM!G62=\"\",\"\",ZOZNAM!G62),\"\")","v":"2019-11-12"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!H62=\"\",\"\",ZOZNAM!H62),\"\")","v":"2019-11-14"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!I62=\"\",\"\",ZOZNAM!I62),\"\")","v":"0 EUR"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!J62=\"\",\"\",ZOZNAM!J62),\"\")","v":""},{"$f":"IF($A71<>\"\",IF(ZOZNAM!K62=\"\",\"\",ZOZNAM!K62),\"\")","v":"https://www.cef-see.org/2019-pim"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!L62=\"\",\"\",ZOZNAM!L62),\"\")","v":"The workshop will provide a basis for improved understanding of key factors that undermine the efficiency of public investment projects, shortcomings in procedures and optimal institutional arrangements for their management, and measures that can be taken to increase the efficiency of capital expenditures.\nThe workshop will explore the prerequisites for streamlined and simplified prioritization and selection criteria for public investment projects, including their positioning in medium-term budget frameworks and annual budget preparation cycles."},{"$f":"IF($A71<>\"\",IF(ZOZNAM!M62=\"\",\"\",ZOZNAM!M62),\"\")","v":""},{"$f":"IF($A71<>\"\",IF(ZOZNAM!N62=\"\",\"\",ZOZNAM!N62),\"\")","v":"nie"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!O62=\"\",\"\",ZOZNAM!O62),\"\")","v":"nie"},{"$f":"IF($A71<>\"\",IF(ZOZNAM!P62=\"\",\"\",ZOZNAM!P62),\"\")","v":""},{"$f":"IF($A71<>\"\",IF(ZOZNAM!Q62=\"\",\"\",ZOZNAM!Q62),\"\")","v":""},{"$f":"IF($A71<>\"\",IF(ZOZNAM!R62=\"\",\"\",ZOZNAM!R62),\"\")","v":""},{"$f":"IF($A71<>\"\",IF(ZOZNAM!S62=\"\",\"\",ZOZNAM!S62),\"\")","v":""},{"$f":"IF($A71<>\"\",IF(ZOZNAM!T62=\"\",\"\",ZOZNAM!T62),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C66)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C66)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C66)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C66)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C66)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C66)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L66)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L66)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L66)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L66)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L66)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L66)),FALSE))),ZOZNAM!G66>=$C$9),ZOZNAM!A66,\"\")","v":"ES006"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!B66=\"\",\"\",ZOZNAM!B66),\"\")","v":"Devstat"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!C66=\"\",\"\",ZOZNAM!C66),\"\")","v":"Social Data Mining"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!D66=\"\",\"\",ZOZNAM!D66),\"\")","v":"Valencia, Španielsko"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!E66=\"\",\"\",ZOZNAM!E66),\"\")","v":2},{"$f":"IF($A75<>\"\",IF(ZOZNAM!F66=\"\",\"\",ZOZNAM!F66),\"\")","v":2},{"$f":"IF($A75<>\"\",IF(ZOZNAM!G66=\"\",\"\",ZOZNAM!G66),\"\")","v":"2019-09-16"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!H66=\"\",\"\",ZOZNAM!H66),\"\")","v":"2019-09-17"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!I66=\"\",\"\",ZOZNAM!I66),\"\")","v":"0 EUR"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!J66=\"\",\"\",ZOZNAM!J66),\"\")","v":"2019-07-05"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!K66=\"\",\"\",ZOZNAM!K66),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!L66=\"\",\"\",ZOZNAM!L66),\"\")","v":"This course will provide participants with an understanding of\nfundamental data mining methodologies and with the ability to\nformulate and solve problems using them. Particular attention will\nbe paid to practical, efficient and statistically sound techniques,\ncapable of providing not only the requested discoveries, but also\nestimates of their utilities. These lectures will be complemented with\nhands-on experience with data mining software, primarily R, to\nallow development of basic execution skills.\nThe course objectives:\no To introduce students to the basic concepts of Social Media\nand Web technologies.\no To introduce students to the basic concepts and techniques\nof Data Mining and Machine Learning applied to Social Media\nanalysis.\no To develop skills of using R as programming language for\nsolving practical problems.\no To gain experience of doing independent analysis and\nresearch."},{"$f":"IF($A75<>\"\",IF(ZOZNAM!M66=\"\",\"\",ZOZNAM!M66),\"\")","v":""},{"$f":"IF($A75<>\"\",IF(ZOZNAM!N66=\"\",\"\",ZOZNAM!N66),\"\")","v":"nie"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!O66=\"\",\"\",ZOZNAM!O66),\"\")","v":"nie"},{"$f":"IF($A75<>\"\",IF(ZOZNAM!P66=\"\",\"\",ZOZNAM!P66),\"\")","v":""},{"$f":"IF($A75<>\"\",IF(ZOZNAM!Q66=\"\",\"\",ZOZNAM!Q66),\"\")","v":""},{"$f":"IF($A75<>\"\",IF(ZOZNAM!R66=\"\",\"\",ZOZNAM!R66),\"\")","v":""},{"$f":"IF($A75<>\"\",IF(ZOZNAM!S66=\"\",\"\",ZOZNAM!S66),\"\")","v":""},{"$f":"IF($A75<>\"\",IF(ZOZNAM!T66=\"\",\"\",ZOZNAM!T66),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C67)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C67)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C67)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C67)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C67)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C67)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L67)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L67)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L67)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L67)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L67)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L67)),FALSE))),ZOZNAM!G67>=$C$9),ZOZNAM!A67,\"\")","v":"DU154"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!B67=\"\",\"\",ZOZNAM!B67),\"\")","v":"Duke University"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!C67=\"\",\"\",ZOZNAM!C67),\"\")","v":"Tax Analysis and Revenue Forecasting (TARF)"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!D67=\"\",\"\",ZOZNAM!D67),\"\")","v":"Durham, USA"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!E67=\"\",\"\",ZOZNAM!E67),\"\")","v":19},{"$f":"IF($A76<>\"\",IF(ZOZNAM!F67=\"\",\"\",ZOZNAM!F67),\"\")","v":27},{"$f":"IF($A76<>\"\",IF(ZOZNAM!G67=\"\",\"\",ZOZNAM!G67),\"\")","v":"2019-06-16"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!H67=\"\",\"\",ZOZNAM!H67),\"\")","v":"2019-07-12"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!I67=\"\",\"\",ZOZNAM!I67),\"\")","v":"10 500 USD"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!J67=\"\",\"\",ZOZNAM!J67),\"\")","v":"2019-05-16"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!K67=\"\",\"\",ZOZNAM!K67),\"\")","v":"http://dcid.sanford.duke.edu/academics/exed/tax-analysis"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!L67=\"\",\"\",ZOZNAM!L67),\"\")","v":"Tax analysis and revenue forecasting have become increasingly important functions as governments undertake reforms of their tax systems to enhance revenues, improve the equity and efficiency of taxes, and promote economic growth.The four-week Tax Analysis and Revenue Forecasting workshop covers the economic foundations of tax policy, revenue forecasting and statistical techniques to give participants the capacity to implement successful tax reforms. The course covers a wide variety of taxes such as value-added tax, personal and corporate income tax, excises, property tax, trade taxes and taxes on natural resources. The application of macroeconomic models, micro-simulation models and typical taxpayer models are also covered.\n\n \nTopics\nTax Analysis\nPrinciples of taxation and tax reform \nEconomic impact of taxes and subsidies\nConsumption and expenditure taxes\nTaxes on international trade\nTaxation of income\nInternational tax harmonization\nWealth and asset taxation\nProperty and real estate taxes\nTaxation of natural resources\nTaxation of financial sectors\nInflation and taxation\nTaxation of e-commerce\nTaxation of MNCs and BEPS\nRevenue Forecasting\nValue-added and excise taxes\nTrade taxes\nPersonal income taxes\nCorporate income taxes\nTaxes on natural resources\nProperty taxes\nComputer Applications\nIntroduction to computers and computerization\nMicrocomputers in revenue forecasting\nEmpirical Techniques and Models\nMicro-simulation models\nTypical taxpayer model\nMacroeconomic models\nGDP-based forecasting models\nRegression analysis\nSampling techniques\nConsumer expenditure surveys\nReceipts model\nSpecial Topics may include:\nRisk management of tax compliance\nTransfer pricing and international dispute resolution\nTax competition and investment incentives\nOverview of tax treaties for double tax avoidance"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!M67=\"\",\"\",ZOZNAM!M67),\"\")","v":""},{"$f":"IF($A76<>\"\",IF(ZOZNAM!N67=\"\",\"\",ZOZNAM!N67),\"\")","v":"áno"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!O67=\"\",\"\",ZOZNAM!O67),\"\")","v":"nie"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!P67=\"\",\"\",ZOZNAM!P67),\"\")","v":""},{"$f":"IF($A76<>\"\",IF(ZOZNAM!Q67=\"\",\"\",ZOZNAM!Q67),\"\")","v":1},{"$f":"IF($A76<>\"\",IF(ZOZNAM!R67=\"\",\"\",ZOZNAM!R67),\"\")","v":1},{"$f":"IF($A76<>\"\",IF(ZOZNAM!S67=\"\",\"\",ZOZNAM!S67),\"\")","v":"Začiatočníkom"},{"$f":"IF($A76<>\"\",IF(ZOZNAM!T67=\"\",\"\",ZOZNAM!T67),\"\")","v":"obsahom kurzu bol teoretický a praktický pohľad na problematiku daní\nKurz sa orientoval na všetky druhy daní. Spestrením kurzu boli prednášky expertov z praxe, profesorov a ekonómov z významných inštitúcií. Kurz ponúkol komplexný pohľad na problematiku a otvorenú diskusiu s expertmi z danej oblasti."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C68)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C68)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C68)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C68)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C68)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C68)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L68)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L68)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L68)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L68)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L68)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L68)),FALSE))),ZOZNAM!G68>=$C$9),ZOZNAM!A68,\"\")","v":"DU153"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!B68=\"\",\"\",ZOZNAM!B68),\"\")","v":"Duke University"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!C68=\"\",\"\",ZOZNAM!C68),\"\")","v":"Transfer Pricing: Policy and Practice"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!D68=\"\",\"\",ZOZNAM!D68),\"\")","v":"Durham, USA"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!E68=\"\",\"\",ZOZNAM!E68),\"\")","v":5},{"$f":"IF($A77<>\"\",IF(ZOZNAM!F68=\"\",\"\",ZOZNAM!F68),\"\")","v":5},{"$f":"IF($A77<>\"\",IF(ZOZNAM!G68=\"\",\"\",ZOZNAM!G68),\"\")","v":"2019-06-17"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!H68=\"\",\"\",ZOZNAM!H68),\"\")","v":"2019-06-21"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!I68=\"\",\"\",ZOZNAM!I68),\"\")","v":"3 750 USD"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!J68=\"\",\"\",ZOZNAM!J68),\"\")","v":"2019-05-17"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!K68=\"\",\"\",ZOZNAM!K68),\"\")","v":"http://dcid.sanford.duke.edu/academics/exed/transfer-pricing"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!L68=\"\",\"\",ZOZNAM!L68),\"\")","v":"Transfer pricing is the most challenging issue in international tax today, creating controversy and frustrations for both taxpayers and tax administrators. This weeklong program provides tax administrators with insight into the complex world of transfer pricing, allowing government officials to develop sound transfer pricing rules that balance the needs of government and business, and to use their limited resources efficiently and effectively in auditing taxpayers. The program also gives private sector tax professionals insight into the perspective of tax examiners.\n\n \nTopics\nBackground/Business Operations\n• Why transfer pricing is important: economic and tax policy issues\n• Structure of multinational corporations\n• Operation of global supply chains\n• How companies set prices\n• Digital commerce\n• Development and use of intellectual property\n• Tax policies to guide transfer pricing\n\nTransfer Pricing Principles\n• Traditional methods for setting prices\n• Transactional methods for setting prices\n• Simplified methods\n• Safe harbors\n• Use of databases\n• UN and OECD guidelines\n\nTransfer Pricing Administration\nTransfer Pricing\nHear from the participants\nGraduates of DCID's first program on transfer pricing explain how the training helped them navigate the most complex issue in international tax.\n\nWATCH THE VIDEO.\n\n• Transfer pricing documentation\n• Coordination of tax rules with customs valuation\n• Advanced pricing agreements\n• Treaty-based dispute resolution"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!M68=\"\",\"\",ZOZNAM!M68),\"\")","v":""},{"$f":"IF($A77<>\"\",IF(ZOZNAM!N68=\"\",\"\",ZOZNAM!N68),\"\")","v":"áno"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!O68=\"\",\"\",ZOZNAM!O68),\"\")","v":"nie"},{"$f":"IF($A77<>\"\",IF(ZOZNAM!P68=\"\",\"\",ZOZNAM!P68),\"\")","v":""},{"$f":"IF($A77<>\"\",IF(ZOZNAM!Q68=\"\",\"\",ZOZNAM!Q68),\"\")","v":""},{"$f":"IF($A77<>\"\",IF(ZOZNAM!R68=\"\",\"\",ZOZNAM!R68),\"\")","v":""},{"$f":"IF($A77<>\"\",IF(ZOZNAM!S68=\"\",\"\",ZOZNAM!S68),\"\")","v":""},{"$f":"IF($A77<>\"\",IF(ZOZNAM!T68=\"\",\"\",ZOZNAM!T68),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C69)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C69)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C69)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C69)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C69)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C69)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L69)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L69)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L69)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L69)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L69)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L69)),FALSE))),ZOZNAM!G69>=$C$9),ZOZNAM!A69,\"\")","v":"DU155"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!B69=\"\",\"\",ZOZNAM!B69),\"\")","v":"Duke University"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!C69=\"\",\"\",ZOZNAM!C69),\"\")","v":"Global Value Chain Analysis"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!D69=\"\",\"\",ZOZNAM!D69),\"\")","v":"Durham, USA"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!E69=\"\",\"\",ZOZNAM!E69),\"\")","v":15},{"$f":"IF($A78<>\"\",IF(ZOZNAM!F69=\"\",\"\",ZOZNAM!F69),\"\")","v":20},{"$f":"IF($A78<>\"\",IF(ZOZNAM!G69=\"\",\"\",ZOZNAM!G69),\"\")","v":"2019-07-07"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!H69=\"\",\"\",ZOZNAM!H69),\"\")","v":"2019-07-26"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!I69=\"\",\"\",ZOZNAM!I69),\"\")","v":"0 EUR"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!J69=\"\",\"\",ZOZNAM!J69),\"\")","v":"2019-06-07"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!K69=\"\",\"\",ZOZNAM!K69),\"\")","v":"http://dcid.sanford.duke.edu/academics/exed/budget"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!L69=\"\",\"\",ZOZNAM!L69),\"\")","v":"Budgeting and financial management are at the core of economic and public sector reform programs in most nations. With growing pressures for enhanced service delivery and the challenges of budgetary crises and fiscal shocks, improved budget processes and innovative financial management techniques are especially critical in developing and emerging economies. The three-week BUDGET program is designed to give you the skills you need to reform budget systems and contribute to strengthening public financial management around the world.\n\n \n\nTopics\nBudget and macro-economy\nFinancial programming\nPublic finance and economic growth\nBudget and stabilization policy\nFinancing the budget and budget deficits\nRevenue forecasting techniques\nManagement and organization of budget processes\nAlternative budget frameworks including MTEF (medium-term expenditure framework)\nInput-control and output-oriented performance or results-based budgeting techniques\nBalanced scorecard approaches to budgeting and management\nBudget as an instrument of managerial performance\nMonitoring and evaluation of budget performance\nNegotiation techniques and conflict resolution\nIndicators of budget policy, institutions, and processes\nBudget implementation, cash management, and budget monitoring techniques\nFiscal transparency standards and assessment\nFiscal decentralization and budgeting\nCapital budgeting, cost-benefit, and cost effectiveness analyses\nBudgeting and poverty reduction strategies\nDebt management\nRole, budgeting and management of foreign aid\nFiscal aspects of external and domestic debt management"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!M69=\"\",\"\",ZOZNAM!M69),\"\")","v":""},{"$f":"IF($A78<>\"\",IF(ZOZNAM!N69=\"\",\"\",ZOZNAM!N69),\"\")","v":"áno"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!O69=\"\",\"\",ZOZNAM!O69),\"\")","v":"nie"},{"$f":"IF($A78<>\"\",IF(ZOZNAM!P69=\"\",\"\",ZOZNAM!P69),\"\")","v":""},{"$f":"IF($A78<>\"\",IF(ZOZNAM!Q69=\"\",\"\",ZOZNAM!Q69),\"\")","v":""},{"$f":"IF($A78<>\"\",IF(ZOZNAM!R69=\"\",\"\",ZOZNAM!R69),\"\")","v":""},{"$f":"IF($A78<>\"\",IF(ZOZNAM!S69=\"\",\"\",ZOZNAM!S69),\"\")","v":""},{"$f":"IF($A78<>\"\",IF(ZOZNAM!T69=\"\",\"\",ZOZNAM!T69),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C70)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C70)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C70)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C70)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C70)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C70)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L70)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L70)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L70)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L70)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L70)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L70)),FALSE))),ZOZNAM!G70>=$C$9),ZOZNAM!A70,\"\")","v":"DU156"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!B70=\"\",\"\",ZOZNAM!B70),\"\")","v":"Duke University"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!C70=\"\",\"\",ZOZNAM!C70),\"\")","v":"Fiscal Decentralization & Local Government Financial Mgt (PFD)"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!D70=\"\",\"\",ZOZNAM!D70),\"\")","v":"Durham, USA"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!E70=\"\",\"\",ZOZNAM!E70),\"\")","v":15},{"$f":"IF($A79<>\"\",IF(ZOZNAM!F70=\"\",\"\",ZOZNAM!F70),\"\")","v":20},{"$f":"IF($A79<>\"\",IF(ZOZNAM!G70=\"\",\"\",ZOZNAM!G70),\"\")","v":"2019-07-07"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!H70=\"\",\"\",ZOZNAM!H70),\"\")","v":"2019-07-26"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!I70=\"\",\"\",ZOZNAM!I70),\"\")","v":"9 100 USD"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!J70=\"\",\"\",ZOZNAM!J70),\"\")","v":"2019-06-07"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!K70=\"\",\"\",ZOZNAM!K70),\"\")","v":"http://dcid.sanford.duke.edu/academics/exed/fiscal-decentralization"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!L70=\"\",\"\",ZOZNAM!L70),\"\")","v":"Decentralization reform strategies are being implemented worldwide to improve service delivery, economic governance and citizen participation. This comprehensive three-week program is designed to better enable professionals to develop and implement decentralization policy reforms to improve local public financial management and stimulate efficient and accountable economic and social development.\n\n \nTopics\nFiscal Decentralization\nFiscal federalism and public choice\nAllocating expenditure and revenue responsibilities\nDesigning intergovernmental transfers\nStructuring local government borrowing\nLocal revenue mobilization\nAdministrative Decentralization\nPolitical, administrative and fiscal decentralization trends\nRoles of central and sub-national governments\nIntergovernmental cooperation and administration options\nEffective decentralization strategies\nManaging the decentralization process\nIntergovernmental Transfers\nStructuring recurrent and development transfers\nDesigning effective performance-based grants\nEnsuring a coordinated intergovernmental transfer system\nMonitoring intergovernmental transfers\nLocal Revenue Systems\nProperty taxation\nUser charges and excise tax\nBusiness taxation, license fees, and permits\nIncome and sales taxation\nFiscal Planning and Management\nBudgeting and financial management\nDebt management\nResource administration\nSpecial problems of local revenue administration"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!M70=\"\",\"\",ZOZNAM!M70),\"\")","v":""},{"$f":"IF($A79<>\"\",IF(ZOZNAM!N70=\"\",\"\",ZOZNAM!N70),\"\")","v":"áno"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!O70=\"\",\"\",ZOZNAM!O70),\"\")","v":"nie"},{"$f":"IF($A79<>\"\",IF(ZOZNAM!P70=\"\",\"\",ZOZNAM!P70),\"\")","v":""},{"$f":"IF($A79<>\"\",IF(ZOZNAM!Q70=\"\",\"\",ZOZNAM!Q70),\"\")","v":""},{"$f":"IF($A79<>\"\",IF(ZOZNAM!R70=\"\",\"\",ZOZNAM!R70),\"\")","v":""},{"$f":"IF($A79<>\"\",IF(ZOZNAM!S70=\"\",\"\",ZOZNAM!S70),\"\")","v":""},{"$f":"IF($A79<>\"\",IF(ZOZNAM!T70=\"\",\"\",ZOZNAM!T70),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C71)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C71)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C71)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C71)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C71)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C71)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L71)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L71)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L71)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L71)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L71)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L71)),FALSE))),ZOZNAM!G71>=$C$9),ZOZNAM!A71,\"\")","v":"DU157"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!B71=\"\",\"\",ZOZNAM!B71),\"\")","v":"Duke University"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!C71=\"\",\"\",ZOZNAM!C71),\"\")","v":"Budgeting and Financial Management in the Public Sector"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!D71=\"\",\"\",ZOZNAM!D71),\"\")","v":"Durham, USA"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!E71=\"\",\"\",ZOZNAM!E71),\"\")","v":15},{"$f":"IF($A80<>\"\",IF(ZOZNAM!F71=\"\",\"\",ZOZNAM!F71),\"\")","v":20},{"$f":"IF($A80<>\"\",IF(ZOZNAM!G71=\"\",\"\",ZOZNAM!G71),\"\")","v":"2019-07-07"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!H71=\"\",\"\",ZOZNAM!H71),\"\")","v":"2019-07-26"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!I71=\"\",\"\",ZOZNAM!I71),\"\")","v":"9 750 USD"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!J71=\"\",\"\",ZOZNAM!J71),\"\")","v":"2019-06-07"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!K71=\"\",\"\",ZOZNAM!K71),\"\")","v":"http://dcid.sanford.duke.edu/academics/exed/budget"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!L71=\"\",\"\",ZOZNAM!L71),\"\")","v":"Budgeting and financial management are at the core of economic and public sector reform programs in most nations. With growing pressures for enhanced service delivery and the challenges of budgetary crises and fiscal shocks, improved budget processes and innovative financial management techniques are especially critical in developing and emerging economies. The three-week BUDGET program is designed to give you the skills you need to reform budget systems and contribute to strengthening public financial management around the world.\n\n \n\nTopics\nBudget and macro-economy\nFinancial programming\nPublic finance and economic growth\nBudget and stabilization policy\nFinancing the budget and budget deficits\nRevenue forecasting techniques\nManagement and organization of budget processes\nAlternative budget frameworks including MTEF (medium-term expenditure framework)\nInput-control and output-oriented performance or results-based budgeting techniques\nBalanced scorecard approaches to budgeting and management\nBudget as an instrument of managerial performance\nMonitoring and evaluation of budget performance\nNegotiation techniques and conflict resolution\nIndicators of budget policy, institutions, and processes\nBudget implementation, cash management, and budget monitoring techniques\nFiscal transparency standards and assessment\nFiscal decentralization and budgeting\nCapital budgeting, cost-benefit, and cost effectiveness analyses\nBudgeting and poverty reduction strategies\nDebt management\nRole, budgeting and management of foreign aid\nFiscal aspects of external and domestic debt management"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!M71=\"\",\"\",ZOZNAM!M71),\"\")","v":""},{"$f":"IF($A80<>\"\",IF(ZOZNAM!N71=\"\",\"\",ZOZNAM!N71),\"\")","v":"áno"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!O71=\"\",\"\",ZOZNAM!O71),\"\")","v":"nie"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!P71=\"\",\"\",ZOZNAM!P71),\"\")","v":""},{"$f":"IF($A80<>\"\",IF(ZOZNAM!Q71=\"\",\"\",ZOZNAM!Q71),\"\")","v":1},{"$f":"IF($A80<>\"\",IF(ZOZNAM!R71=\"\",\"\",ZOZNAM!R71),\"\")","v":1},{"$f":"IF($A80<>\"\",IF(ZOZNAM!S71=\"\",\"\",ZOZNAM!S71),\"\")","v":"Pokročilým"},{"$f":"IF($A80<>\"\",IF(ZOZNAM!T71=\"\",\"\",ZOZNAM!T71),\"\")","v":"Kurz mal vysokú pridanú hodnotu a súvis s náplňou práce zamestnancov pri implementácii projektu. Vysoko profesionálny prístup pedagógov a dostatok praktických cvičení."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C72)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C72)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C72)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C72)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C72)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C72)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L72)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L72)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L72)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L72)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L72)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L72)),FALSE))),ZOZNAM!G72>=$C$9),ZOZNAM!A72,\"\")","v":"EM008"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!B72=\"\",\"\",ZOZNAM!B72),\"\")","v":"EcoMod Network"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!C72=\"\",\"\",ZOZNAM!C72),\"\")","v":"Practical General Equilibrium Modeling with GAMS"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!D72=\"\",\"\",ZOZNAM!D72),\"\")","v":"Praha, Česko"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!E72=\"\",\"\",ZOZNAM!E72),\"\")","v":5},{"$f":"IF($A81<>\"\",IF(ZOZNAM!F72=\"\",\"\",ZOZNAM!F72),\"\")","v":5},{"$f":"IF($A81<>\"\",IF(ZOZNAM!G72=\"\",\"\",ZOZNAM!G72),\"\")","v":"2019-06-24"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!H72=\"\",\"\",ZOZNAM!H72),\"\")","v":"2019-06-28"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!I72=\"\",\"\",ZOZNAM!I72),\"\")","v":" 3 767 USD"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!J72=\"\",\"\",ZOZNAM!J72),\"\")","v":""},{"$f":"IF($A81<>\"\",IF(ZOZNAM!K72=\"\",\"\",ZOZNAM!K72),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!L72=\"\",\"\",ZOZNAM!L72),\"\")","v":"The course will introduce all the basic tools for constructing and implementing large-scale applied general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nthe structure of open economy general equilibrium models,\nbuilding the database for such models,\nbuilding social accounting matrices,\ncalibrating a CGE model,\nformulating a CGE model as a non linear programming problem,\nformulating a CGE model as a mixed complementarity problem,\nimplementing the model on the computer using the GAMS software,\nusing the solvers CONOPT, MINOS, PATH, and PATHNLP,\nmodeling the labor market,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results,\nlinking GAMS and Excel for reading and reporting data"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!M72=\"\",\"\",ZOZNAM!M72),\"\")","v":"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019."},{"$f":"IF($A81<>\"\",IF(ZOZNAM!N72=\"\",\"\",ZOZNAM!N72),\"\")","v":"nie"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!O72=\"\",\"\",ZOZNAM!O72),\"\")","v":"nie"},{"$f":"IF($A81<>\"\",IF(ZOZNAM!P72=\"\",\"\",ZOZNAM!P72),\"\")","v":""},{"$f":"IF($A81<>\"\",IF(ZOZNAM!Q72=\"\",\"\",ZOZNAM!Q72),\"\")","v":""},{"$f":"IF($A81<>\"\",IF(ZOZNAM!R72=\"\",\"\",ZOZNAM!R72),\"\")","v":""},{"$f":"IF($A81<>\"\",IF(ZOZNAM!S72=\"\",\"\",ZOZNAM!S72),\"\")","v":""},{"$f":"IF($A81<>\"\",IF(ZOZNAM!T72=\"\",\"\",ZOZNAM!T72),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C73)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C73)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C73)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C73)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C73)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C73)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L73)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L73)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L73)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L73)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L73)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L73)),FALSE))),ZOZNAM!G73>=$C$9),ZOZNAM!A73,\"\")","v":"EM009"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!B73=\"\",\"\",ZOZNAM!B73),\"\")","v":"EcoMod Network"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!C73=\"\",\"\",ZOZNAM!C73),\"\")","v":"Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!D73=\"\",\"\",ZOZNAM!D73),\"\")","v":"Praha, Česko"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!E73=\"\",\"\",ZOZNAM!E73),\"\")","v":5},{"$f":"IF($A82<>\"\",IF(ZOZNAM!F73=\"\",\"\",ZOZNAM!F73),\"\")","v":5},{"$f":"IF($A82<>\"\",IF(ZOZNAM!G73=\"\",\"\",ZOZNAM!G73),\"\")","v":"2019-06-24"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!H73=\"\",\"\",ZOZNAM!H73),\"\")","v":"2019-06-28"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!I73=\"\",\"\",ZOZNAM!I73),\"\")","v":" 3 767 USD"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!J73=\"\",\"\",ZOZNAM!J73),\"\")","v":""},{"$f":"IF($A82<>\"\",IF(ZOZNAM!K73=\"\",\"\",ZOZNAM!K73),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!L73=\"\",\"\",ZOZNAM!L73),\"\")","v":"The course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.\n\nCourse objective: \nthe use of MATLAB,\nthe use of DYNARE\nthe structure of DSGE models,\npreparing the database for DSGE models,\nestimating and calibrating DSGE models,\nintroducing stochastic shocks,\nintroducing imperfect competition,\nintroducing price and wage rigidities,\nimplementing the model using MATLAB and DYNARE,\nnumerical solution methods,\nimpulse response functions,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A82<>\"\",IF(ZOZNAM!M73=\"\",\"\",ZOZNAM!M73),\"\")","v":"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019."},{"$f":"IF($A82<>\"\",IF(ZOZNAM!N73=\"\",\"\",ZOZNAM!N73),\"\")","v":"nie"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!O73=\"\",\"\",ZOZNAM!O73),\"\")","v":"nie"},{"$f":"IF($A82<>\"\",IF(ZOZNAM!P73=\"\",\"\",ZOZNAM!P73),\"\")","v":""},{"$f":"IF($A82<>\"\",IF(ZOZNAM!Q73=\"\",\"\",ZOZNAM!Q73),\"\")","v":""},{"$f":"IF($A82<>\"\",IF(ZOZNAM!R73=\"\",\"\",ZOZNAM!R73),\"\")","v":""},{"$f":"IF($A82<>\"\",IF(ZOZNAM!S73=\"\",\"\",ZOZNAM!S73),\"\")","v":""},{"$f":"IF($A82<>\"\",IF(ZOZNAM!T73=\"\",\"\",ZOZNAM!T73),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C74)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C74)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C74)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C74)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C74)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C74)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L74)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L74)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L74)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L74)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L74)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L74)),FALSE))),ZOZNAM!G74>=$C$9),ZOZNAM!A74,\"\")","v":"EM010"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!B74=\"\",\"\",ZOZNAM!B74),\"\")","v":"EcoMod Network"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!C74=\"\",\"\",ZOZNAM!C74),\"\")","v":"Overlapping Generation General Equilibrium Modeling with GAMS"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!D74=\"\",\"\",ZOZNAM!D74),\"\")","v":"Praha, Česko"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!E74=\"\",\"\",ZOZNAM!E74),\"\")","v":5},{"$f":"IF($A83<>\"\",IF(ZOZNAM!F74=\"\",\"\",ZOZNAM!F74),\"\")","v":5},{"$f":"IF($A83<>\"\",IF(ZOZNAM!G74=\"\",\"\",ZOZNAM!G74),\"\")","v":"2019-06-24"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!H74=\"\",\"\",ZOZNAM!H74),\"\")","v":"2019-06-28"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!I74=\"\",\"\",ZOZNAM!I74),\"\")","v":" 3 767 USD"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!J74=\"\",\"\",ZOZNAM!J74),\"\")","v":""},{"$f":"IF($A83<>\"\",IF(ZOZNAM!K74=\"\",\"\",ZOZNAM!K74),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!L74=\"\",\"\",ZOZNAM!L74),\"\")","v":"The course will introduce all the basic tools for constructing and implementing overlapping generations general equilibrium (OLG-GE) models with perfect foresight and finite lifetimes. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nmodeling dynamic consumption behavior in OLG-GE models,\nmodeling dynamic production behavior in OLG-GE models,\nmodeling forward-looking expectations,\nmodeling tax and social security systems,\nbuilding the database for such models,\nintroducing complicated population dynamics and population aging,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A83<>\"\",IF(ZOZNAM!M74=\"\",\"\",ZOZNAM!M74),\"\")","v":"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019."},{"$f":"IF($A83<>\"\",IF(ZOZNAM!N74=\"\",\"\",ZOZNAM!N74),\"\")","v":"nie"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!O74=\"\",\"\",ZOZNAM!O74),\"\")","v":"nie"},{"$f":"IF($A83<>\"\",IF(ZOZNAM!P74=\"\",\"\",ZOZNAM!P74),\"\")","v":""},{"$f":"IF($A83<>\"\",IF(ZOZNAM!Q74=\"\",\"\",ZOZNAM!Q74),\"\")","v":""},{"$f":"IF($A83<>\"\",IF(ZOZNAM!R74=\"\",\"\",ZOZNAM!R74),\"\")","v":""},{"$f":"IF($A83<>\"\",IF(ZOZNAM!S74=\"\",\"\",ZOZNAM!S74),\"\")","v":""},{"$f":"IF($A83<>\"\",IF(ZOZNAM!T74=\"\",\"\",ZOZNAM!T74),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C78)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C78)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C78)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C78)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C78)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C78)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L78)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L78)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L78)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L78)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L78)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L78)),FALSE))),ZOZNAM!G78>=$C$9),ZOZNAM!A78,\"\")","v":"EM001"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!B78=\"\",\"\",ZOZNAM!B78),\"\")","v":"EcoMod Network"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!C78=\"\",\"\",ZOZNAM!C78),\"\")","v":"Macroeconometric Modeling using Eviews"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!D78=\"\",\"\",ZOZNAM!D78),\"\")","v":"Praha, Česko"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!E78=\"\",\"\",ZOZNAM!E78),\"\")","v":4},{"$f":"IF($A87<>\"\",IF(ZOZNAM!F78=\"\",\"\",ZOZNAM!F78),\"\")","v":5},{"$f":"IF($A87<>\"\",IF(ZOZNAM!G78=\"\",\"\",ZOZNAM!G78),\"\")","v":"2019-07-01"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!H78=\"\",\"\",ZOZNAM!H78),\"\")","v":"2019-07-05"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!I78=\"\",\"\",ZOZNAM!I78),\"\")","v":" 3 767 USD"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!J78=\"\",\"\",ZOZNAM!J78),\"\")","v":""},{"$f":"IF($A87<>\"\",IF(ZOZNAM!K78=\"\",\"\",ZOZNAM!K78),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!L78=\"\",\"\",ZOZNAM!L78),\"\")","v":"This course is tailored for staff developing or using small or medium size macro models and staff involved in forecasting and policy analysis in the central banks, ministries and international institutions.\n\nThe course will introduce all the basic tools for constructing and implementing medium-scale macroeconometric models for policy analysis.\nCourse deals with topics:\nthe use of EViews,\neconometrics with EViews,\nthe structure of macroeconometric models,\nbuilding the database for such models,\nestimating and calibrating the models,\nimplementing the model on the computer using EViews,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A87<>\"\",IF(ZOZNAM!M78=\"\",\"\",ZOZNAM!M78),\"\")","v":"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019."},{"$f":"IF($A87<>\"\",IF(ZOZNAM!N78=\"\",\"\",ZOZNAM!N78),\"\")","v":"nie"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!O78=\"\",\"\",ZOZNAM!O78),\"\")","v":"nie"},{"$f":"IF($A87<>\"\",IF(ZOZNAM!P78=\"\",\"\",ZOZNAM!P78),\"\")","v":""},{"$f":"IF($A87<>\"\",IF(ZOZNAM!Q78=\"\",\"\",ZOZNAM!Q78),\"\")","v":""},{"$f":"IF($A87<>\"\",IF(ZOZNAM!R78=\"\",\"\",ZOZNAM!R78),\"\")","v":""},{"$f":"IF($A87<>\"\",IF(ZOZNAM!S78=\"\",\"\",ZOZNAM!S78),\"\")","v":""},{"$f":"IF($A87<>\"\",IF(ZOZNAM!T78=\"\",\"\",ZOZNAM!T78),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C79)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C79)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C79)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C79)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C79)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C79)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L79)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L79)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L79)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L79)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L79)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L79)),FALSE))),ZOZNAM!G79>=$C$9),ZOZNAM!A79,\"\")","v":"EM002"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!B79=\"\",\"\",ZOZNAM!B79),\"\")","v":"EcoMod Network"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!C79=\"\",\"\",ZOZNAM!C79),\"\")","v":"Energy and Environmental CGE Modeling with GAMS"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!D79=\"\",\"\",ZOZNAM!D79),\"\")","v":"Praha, Česko"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!E79=\"\",\"\",ZOZNAM!E79),\"\")","v":4},{"$f":"IF($A88<>\"\",IF(ZOZNAM!F79=\"\",\"\",ZOZNAM!F79),\"\")","v":5},{"$f":"IF($A88<>\"\",IF(ZOZNAM!G79=\"\",\"\",ZOZNAM!G79),\"\")","v":"2019-07-01"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!H79=\"\",\"\",ZOZNAM!H79),\"\")","v":"2019-07-05"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!I79=\"\",\"\",ZOZNAM!I79),\"\")","v":" 3 767 USD"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!J79=\"\",\"\",ZOZNAM!J79),\"\")","v":""},{"$f":"IF($A88<>\"\",IF(ZOZNAM!K79=\"\",\"\",ZOZNAM!K79),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!L79=\"\",\"\",ZOZNAM!L79),\"\")","v":"The course will focus on modeling energy and greenhouse gas emissions. \n\nThe course will introduce all the tools for constructing and implementing large-scale, dynamic, multisectoral general equilibrium models for energy and environmental policy analysis. \n\nThe course deals with topics: \nthe structure of general equilibrium models for environmental policy analysis,\nintroducing dynamics,\nmodeling energy markets,\nmodeling complex nesting structures,\nintroducing greenhouse gases,\nmodeling tradable pollution permits,\nmodeling carbon taxes,\nmodeling technical change,\nmodeling backstop technologies,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A88<>\"\",IF(ZOZNAM!M79=\"\",\"\",ZOZNAM!M79),\"\")","v":"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019."},{"$f":"IF($A88<>\"\",IF(ZOZNAM!N79=\"\",\"\",ZOZNAM!N79),\"\")","v":"nie"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!O79=\"\",\"\",ZOZNAM!O79),\"\")","v":"nie"},{"$f":"IF($A88<>\"\",IF(ZOZNAM!P79=\"\",\"\",ZOZNAM!P79),\"\")","v":""},{"$f":"IF($A88<>\"\",IF(ZOZNAM!Q79=\"\",\"\",ZOZNAM!Q79),\"\")","v":""},{"$f":"IF($A88<>\"\",IF(ZOZNAM!R79=\"\",\"\",ZOZNAM!R79),\"\")","v":""},{"$f":"IF($A88<>\"\",IF(ZOZNAM!S79=\"\",\"\",ZOZNAM!S79),\"\")","v":""},{"$f":"IF($A88<>\"\",IF(ZOZNAM!T79=\"\",\"\",ZOZNAM!T79),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C80)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C80)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C80)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C80)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C80)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C80)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L80)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L80)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L80)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L80)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L80)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L80)),FALSE))),ZOZNAM!G80>=$C$9),ZOZNAM!A80,\"\")","v":"EM003"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!B80=\"\",\"\",ZOZNAM!B80),\"\")","v":"EcoMod Network"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!C80=\"\",\"\",ZOZNAM!C80),\"\")","v":"Advanced Techniques in General Equilibrium Modeling with GAMS"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!D80=\"\",\"\",ZOZNAM!D80),\"\")","v":"Praha, Česko"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!E80=\"\",\"\",ZOZNAM!E80),\"\")","v":4},{"$f":"IF($A89<>\"\",IF(ZOZNAM!F80=\"\",\"\",ZOZNAM!F80),\"\")","v":5},{"$f":"IF($A89<>\"\",IF(ZOZNAM!G80=\"\",\"\",ZOZNAM!G80),\"\")","v":"2019-07-01"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!H80=\"\",\"\",ZOZNAM!H80),\"\")","v":"2019-07-05"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!I80=\"\",\"\",ZOZNAM!I80),\"\")","v":" 3 767 USD"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!J80=\"\",\"\",ZOZNAM!J80),\"\")","v":""},{"$f":"IF($A89<>\"\",IF(ZOZNAM!K80=\"\",\"\",ZOZNAM!K80),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!L80=\"\",\"\",ZOZNAM!L80),\"\")","v":"The course will focus on multinational and multisectoral modeling with imperfect competition and intertemporal dynamics. \nThe course will introduce all the basic tools for constructing and implementing large-scale multi-national and multi-sectoral dynamic intertemporal general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nthe structure of dynamic models,\nbuilding the database for such models,\nintroducing imperfect competition in the models,\nbuilding dynamic intertemporal models,\nintroducing forward-looking expectations,\nbuilding regional and multinational intertemporal models,\nimplementing the model on the computer using the GAMS software,\nadvanced features of the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A89<>\"\",IF(ZOZNAM!M80=\"\",\"\",ZOZNAM!M80),\"\")","v":"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019."},{"$f":"IF($A89<>\"\",IF(ZOZNAM!N80=\"\",\"\",ZOZNAM!N80),\"\")","v":"nie"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!O80=\"\",\"\",ZOZNAM!O80),\"\")","v":"nie"},{"$f":"IF($A89<>\"\",IF(ZOZNAM!P80=\"\",\"\",ZOZNAM!P80),\"\")","v":""},{"$f":"IF($A89<>\"\",IF(ZOZNAM!Q80=\"\",\"\",ZOZNAM!Q80),\"\")","v":""},{"$f":"IF($A89<>\"\",IF(ZOZNAM!R80=\"\",\"\",ZOZNAM!R80),\"\")","v":""},{"$f":"IF($A89<>\"\",IF(ZOZNAM!S80=\"\",\"\",ZOZNAM!S80),\"\")","v":""},{"$f":"IF($A89<>\"\",IF(ZOZNAM!T80=\"\",\"\",ZOZNAM!T80),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C87)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C87)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C87)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C87)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C87)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C87)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L87)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L87)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L87)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L87)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L87)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L87)),FALSE))),ZOZNAM!G87>=$C$9),ZOZNAM!A87,\"\")","v":"EC159"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!B87=\"\",\"\",ZOZNAM!B87),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!C87=\"\",\"\",ZOZNAM!C87),\"\")","v":"Introduction to R (for participants with some prior knowledge in command-line programming)"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!D87=\"\",\"\",ZOZNAM!D87),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!E87=\"\",\"\",ZOZNAM!E87),\"\")","v":1},{"$f":"IF($A96<>\"\",IF(ZOZNAM!F87=\"\",\"\",ZOZNAM!F87),\"\")","v":2},{"$f":"IF($A96<>\"\",IF(ZOZNAM!G87=\"\",\"\",ZOZNAM!G87),\"\")","v":"2019-02-22"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!H87=\"\",\"\",ZOZNAM!H87),\"\")","v":"2019-02-23"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!I87=\"\",\"\",ZOZNAM!I87),\"\")","v":"420 EUR"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!J87=\"\",\"\",ZOZNAM!J87),\"\")","v":"2018-12-17"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!K87=\"\",\"\",ZOZNAM!K87),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8361&EventID=127"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!L87=\"\",\"\",ZOZNAM!L87),\"\")","v":"R is a powerful and versatile computing environment, widely used by statisticians, economists, and political scientists.\nIn three sessions particiapants will learn how R works and which tools are available to facilitate working with R (in particular RStudio).\nCourse will cover reading in data from other data formats such as SPSS and STATA, as well as how to save data, how to merge different datasets and bring them into the desired data format, analysing data, implement regression analysis in R, and access various elements of our statistical models for further analysis. Course will also cover data transformation and how to deal with special values in R."},{"$f":"IF($A96<>\"\",IF(ZOZNAM!M87=\"\",\"\",ZOZNAM!M87),\"\")","v":"For participants with some prior knowledge in command-line programming"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!N87=\"\",\"\",ZOZNAM!N87),\"\")","v":"nie"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!O87=\"\",\"\",ZOZNAM!O87),\"\")","v":"nie"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!P87=\"\",\"\",ZOZNAM!P87),\"\")","v":1.8},{"$f":"IF($A96<>\"\",IF(ZOZNAM!Q87=\"\",\"\",ZOZNAM!Q87),\"\")","v":4},{"$f":"IF($A96<>\"\",IF(ZOZNAM!R87=\"\",\"\",ZOZNAM!R87),\"\")","v":1},{"$f":"IF($A96<>\"\",IF(ZOZNAM!S87=\"\",\"\",ZOZNAM!S87),\"\")","v":"Začiatočníkom"},{"$f":"IF($A96<>\"\",IF(ZOZNAM!T87=\"\",\"\",ZOZNAM!T87),\"\")","v":"Nízka obsahová kvalita kurzu, Nevhodná štruktúra kurzu (kompaktnosť tém, chronológia kurzu, časová dotácia, kapacita kurzu a pod.), Nedostatočná časová dotácia kurzu, Nedostatok priestoru si trénované zručnosti odskúšať, Nízka kvalita prednášajúcich (ako pedagógov)."}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C90)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C90)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C90)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C90)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C90)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C90)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L90)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L90)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L90)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L90)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L90)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L90)),FALSE))),ZOZNAM!G90>=$C$9),ZOZNAM!A90,\"\")","v":"EC171"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!B90=\"\",\"\",ZOZNAM!B90),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!C90=\"\",\"\",ZOZNAM!C90),\"\")","v":"Regression Refresher (before you take a more advanced stats course)"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!D90=\"\",\"\",ZOZNAM!D90),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!E90=\"\",\"\",ZOZNAM!E90),\"\")","v":1},{"$f":"IF($A99<>\"\",IF(ZOZNAM!F90=\"\",\"\",ZOZNAM!F90),\"\")","v":2},{"$f":"IF($A99<>\"\",IF(ZOZNAM!G90=\"\",\"\",ZOZNAM!G90),\"\")","v":"2019-02-22"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!H90=\"\",\"\",ZOZNAM!H90),\"\")","v":"2019-02-23"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!I90=\"\",\"\",ZOZNAM!I90),\"\")","v":"420 EUR"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!J90=\"\",\"\",ZOZNAM!J90),\"\")","v":"2018-12-17"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!K90=\"\",\"\",ZOZNAM!K90),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8368&EventID=127"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!L90=\"\",\"\",ZOZNAM!L90),\"\")","v":"This course is a refresher about regression. Course covers the conceptual foundations of statistical inference, math underlying regression, regression’s multivariate form focused mainly on the functioning of ordinary least squares, review the assumptions of regression models both from the perspective of why these assumptions exist and what happens if you violate them. \nCourse covers practical tips on how to deal with assumption violations, homoscedasticity, autocorrelation, linearity of relationships and collinearity. Topics are covered both in theory and through an example presented in R."},{"$f":"IF($A99<>\"\",IF(ZOZNAM!M90=\"\",\"\",ZOZNAM!M90),\"\")","v":""},{"$f":"IF($A99<>\"\",IF(ZOZNAM!N90=\"\",\"\",ZOZNAM!N90),\"\")","v":"nie"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!O90=\"\",\"\",ZOZNAM!O90),\"\")","v":"nie"},{"$f":"IF($A99<>\"\",IF(ZOZNAM!P90=\"\",\"\",ZOZNAM!P90),\"\")","v":1.8},{"$f":"IF($A99<>\"\",IF(ZOZNAM!Q90=\"\",\"\",ZOZNAM!Q90),\"\")","v":""},{"$f":"IF($A99<>\"\",IF(ZOZNAM!R90=\"\",\"\",ZOZNAM!R90),\"\")","v":""},{"$f":"IF($A99<>\"\",IF(ZOZNAM!S90=\"\",\"\",ZOZNAM!S90),\"\")","v":""},{"$f":"IF($A99<>\"\",IF(ZOZNAM!T90=\"\",\"\",ZOZNAM!T90),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C91)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C91)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C91)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C91)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C91)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C91)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L91)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L91)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L91)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L91)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L91)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L91)),FALSE))),ZOZNAM!G91>=$C$9),ZOZNAM!A91,\"\")","v":"EC172"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!B91=\"\",\"\",ZOZNAM!B91),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!C91=\"\",\"\",ZOZNAM!C91),\"\")","v":"Maximum Likelihood Estimation"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!D91=\"\",\"\",ZOZNAM!D91),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!E91=\"\",\"\",ZOZNAM!E91),\"\")","v":1},{"$f":"IF($A100<>\"\",IF(ZOZNAM!F91=\"\",\"\",ZOZNAM!F91),\"\")","v":2},{"$f":"IF($A100<>\"\",IF(ZOZNAM!G91=\"\",\"\",ZOZNAM!G91),\"\")","v":"2019-02-22"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!H91=\"\",\"\",ZOZNAM!H91),\"\")","v":"2019-02-23"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!I91=\"\",\"\",ZOZNAM!I91),\"\")","v":"420 EUR"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!J91=\"\",\"\",ZOZNAM!J91),\"\")","v":"2018-12-17"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!K91=\"\",\"\",ZOZNAM!K91),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8378&EventID=127"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!L91=\"\",\"\",ZOZNAM!L91),\"\")","v":"This course introduces maximum likelihood estimation (MLE), one of the most important methods for parameter estimation in modern social sciences, on which a large body of published empirical works relies. Participants will learn the basic idea of MLE, and some of its extensions in several example cases.\nIn contrast to the least squares methods, MLE requires participants to make some assumptions about distributions of stochastic terms. This course therefore also deals with basics of probability theory.\nStudents will write programs in R to estimate some model parameters."},{"$f":"IF($A100<>\"\",IF(ZOZNAM!M91=\"\",\"\",ZOZNAM!M91),\"\")","v":""},{"$f":"IF($A100<>\"\",IF(ZOZNAM!N91=\"\",\"\",ZOZNAM!N91),\"\")","v":"nie"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!O91=\"\",\"\",ZOZNAM!O91),\"\")","v":"nie"},{"$f":"IF($A100<>\"\",IF(ZOZNAM!P91=\"\",\"\",ZOZNAM!P91),\"\")","v":1.8},{"$f":"IF($A100<>\"\",IF(ZOZNAM!Q91=\"\",\"\",ZOZNAM!Q91),\"\")","v":""},{"$f":"IF($A100<>\"\",IF(ZOZNAM!R91=\"\",\"\",ZOZNAM!R91),\"\")","v":""},{"$f":"IF($A100<>\"\",IF(ZOZNAM!S91=\"\",\"\",ZOZNAM!S91),\"\")","v":""},{"$f":"IF($A100<>\"\",IF(ZOZNAM!T91=\"\",\"\",ZOZNAM!T91),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C92)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C92)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C92)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C92)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C92)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C92)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L92)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L92)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L92)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L92)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L92)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L92)),FALSE))),ZOZNAM!G92>=$C$9),ZOZNAM!A92,\"\")","v":"EC173"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!B92=\"\",\"\",ZOZNAM!B92),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!C92=\"\",\"\",ZOZNAM!C92),\"\")","v":"Linear Regression with R/Stata: Estimation, Interpretation and Presentation"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!D92=\"\",\"\",ZOZNAM!D92),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!E92=\"\",\"\",ZOZNAM!E92),\"\")","v":5},{"$f":"IF($A101<>\"\",IF(ZOZNAM!F92=\"\",\"\",ZOZNAM!F92),\"\")","v":5},{"$f":"IF($A101<>\"\",IF(ZOZNAM!G92=\"\",\"\",ZOZNAM!G92),\"\")","v":"2019-02-25"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!H92=\"\",\"\",ZOZNAM!H92),\"\")","v":"2019-03-01"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!I92=\"\",\"\",ZOZNAM!I92),\"\")","v":"895 EUR"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!J92=\"\",\"\",ZOZNAM!J92),\"\")","v":"2018-12-17"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!K92=\"\",\"\",ZOZNAM!K92),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8343&EventID=127"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!L92=\"\",\"\",ZOZNAM!L92),\"\")","v":"This course will teach participants the rigorous application of linear regression models. They will estimate these models, interpret their results and judge how well the models fit the data.\nMore complex specifications will be explored. Participants will learn how to deal with dichotomous predictors and interactions. Course also focus on the assumptions on which OLS models are based, how to check for these in the data at hand, and how to handle situations when they are not met.\nThe course will be conducted primarily in R, but I will also share Stata code for all procedures and models."},{"$f":"IF($A101<>\"\",IF(ZOZNAM!M92=\"\",\"\",ZOZNAM!M92),\"\")","v":""},{"$f":"IF($A101<>\"\",IF(ZOZNAM!N92=\"\",\"\",ZOZNAM!N92),\"\")","v":"nie"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!O92=\"\",\"\",ZOZNAM!O92),\"\")","v":"nie"},{"$f":"IF($A101<>\"\",IF(ZOZNAM!P92=\"\",\"\",ZOZNAM!P92),\"\")","v":1.8},{"$f":"IF($A101<>\"\",IF(ZOZNAM!Q92=\"\",\"\",ZOZNAM!Q92),\"\")","v":""},{"$f":"IF($A101<>\"\",IF(ZOZNAM!R92=\"\",\"\",ZOZNAM!R92),\"\")","v":""},{"$f":"IF($A101<>\"\",IF(ZOZNAM!S92=\"\",\"\",ZOZNAM!S92),\"\")","v":""},{"$f":"IF($A101<>\"\",IF(ZOZNAM!T92=\"\",\"\",ZOZNAM!T92),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C93)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C93)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C93)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C93)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C93)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C93)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L93)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L93)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L93)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L93)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L93)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L93)),FALSE))),ZOZNAM!G93>=$C$9),ZOZNAM!A93,\"\")","v":"EC174"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!B93=\"\",\"\",ZOZNAM!B93),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!C93=\"\",\"\",ZOZNAM!C93),\"\")","v":"Introduction to Statistics for Political and Social Scientists Workshop"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!D93=\"\",\"\",ZOZNAM!D93),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!E93=\"\",\"\",ZOZNAM!E93),\"\")","v":5},{"$f":"IF($A102<>\"\",IF(ZOZNAM!F93=\"\",\"\",ZOZNAM!F93),\"\")","v":5},{"$f":"IF($A102<>\"\",IF(ZOZNAM!G93=\"\",\"\",ZOZNAM!G93),\"\")","v":"2019-02-25"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!H93=\"\",\"\",ZOZNAM!H93),\"\")","v":"2019-03-01"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!I93=\"\",\"\",ZOZNAM!I93),\"\")","v":"895 EUR"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!J93=\"\",\"\",ZOZNAM!J93),\"\")","v":"2018-12-17"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!K93=\"\",\"\",ZOZNAM!K93),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8340&EventID=127"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!L93=\"\",\"\",ZOZNAM!L93),\"\")","v":"This course introduces basic ideas of descriptive and inferential statistics. The course cover the basics: variables, randomisation, centrality and variability, probability distributions, point and interval estimates, hypothesis testing, correlation, simple and multiple linear regression models, model assumptions and violations, and how regression models can be improved.\nThe course and the lab session will be taught in R. "},{"$f":"IF($A102<>\"\",IF(ZOZNAM!M93=\"\",\"\",ZOZNAM!M93),\"\")","v":""},{"$f":"IF($A102<>\"\",IF(ZOZNAM!N93=\"\",\"\",ZOZNAM!N93),\"\")","v":"nie"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!O93=\"\",\"\",ZOZNAM!O93),\"\")","v":"nie"},{"$f":"IF($A102<>\"\",IF(ZOZNAM!P93=\"\",\"\",ZOZNAM!P93),\"\")","v":1.8},{"$f":"IF($A102<>\"\",IF(ZOZNAM!Q93=\"\",\"\",ZOZNAM!Q93),\"\")","v":""},{"$f":"IF($A102<>\"\",IF(ZOZNAM!R93=\"\",\"\",ZOZNAM!R93),\"\")","v":""},{"$f":"IF($A102<>\"\",IF(ZOZNAM!S93=\"\",\"\",ZOZNAM!S93),\"\")","v":""},{"$f":"IF($A102<>\"\",IF(ZOZNAM!T93=\"\",\"\",ZOZNAM!T93),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C94)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C94)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C94)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C94)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C94)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C94)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L94)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L94)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L94)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L94)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L94)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L94)),FALSE))),ZOZNAM!G94>=$C$9),ZOZNAM!A94,\"\")","v":"EC175"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!B94=\"\",\"\",ZOZNAM!B94),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!C94=\"\",\"\",ZOZNAM!C94),\"\")","v":"Introduction to Qualitative Comparative Analysis (QCA)"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!D94=\"\",\"\",ZOZNAM!D94),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!E94=\"\",\"\",ZOZNAM!E94),\"\")","v":5},{"$f":"IF($A103<>\"\",IF(ZOZNAM!F94=\"\",\"\",ZOZNAM!F94),\"\")","v":5},{"$f":"IF($A103<>\"\",IF(ZOZNAM!G94=\"\",\"\",ZOZNAM!G94),\"\")","v":"2019-02-25"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!H94=\"\",\"\",ZOZNAM!H94),\"\")","v":"2019-03-01"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!I94=\"\",\"\",ZOZNAM!I94),\"\")","v":"895 EUR"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!J94=\"\",\"\",ZOZNAM!J94),\"\")","v":"2018-12-17"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!K94=\"\",\"\",ZOZNAM!K94),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8392&EventID=127"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!L94=\"\",\"\",ZOZNAM!L94),\"\")","v":"This course introduces crisp set and fuzzy set Qualitative Comparative Analysis (QCA) and its analysis in R using the interactive graphical interface of the package QCA. It will give participants a basic understanding of the analytic underpinnings and steps of QCA, and enable you to independently perform a basic crisp or fuzzy set QCA (Standard Analysis).\nCourse will look at the origins, analytic aims, and variants of QCA and deal in depth with techniques and practices of set calibration. The nuts and bolts the QCA technique, from parameters of fit to all steps of the analyses of necessity and sufficiency, are illustrated based on an empirical example study which we replicate in class. It covers the presentation and interpretation of QCA results, as well as ways to deal with limited diversity and other potential pitfalls. Hands-on exercises and daily lab sessions provide opportunities for practice and engagement."},{"$f":"IF($A103<>\"\",IF(ZOZNAM!M94=\"\",\"\",ZOZNAM!M94),\"\")","v":""},{"$f":"IF($A103<>\"\",IF(ZOZNAM!N94=\"\",\"\",ZOZNAM!N94),\"\")","v":"nie"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!O94=\"\",\"\",ZOZNAM!O94),\"\")","v":"nie"},{"$f":"IF($A103<>\"\",IF(ZOZNAM!P94=\"\",\"\",ZOZNAM!P94),\"\")","v":1.8},{"$f":"IF($A103<>\"\",IF(ZOZNAM!Q94=\"\",\"\",ZOZNAM!Q94),\"\")","v":""},{"$f":"IF($A103<>\"\",IF(ZOZNAM!R94=\"\",\"\",ZOZNAM!R94),\"\")","v":""},{"$f":"IF($A103<>\"\",IF(ZOZNAM!S94=\"\",\"\",ZOZNAM!S94),\"\")","v":""},{"$f":"IF($A103<>\"\",IF(ZOZNAM!T94=\"\",\"\",ZOZNAM!T94),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C95)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C95)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C95)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C95)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C95)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C95)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L95)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L95)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L95)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L95)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L95)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L95)),FALSE))),ZOZNAM!G95>=$C$9),ZOZNAM!A95,\"\")","v":"EC280"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!B95=\"\",\"\",ZOZNAM!B95),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!C95=\"\",\"\",ZOZNAM!C95),\"\")","v":"Introduction to Bayesian Inference"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!D95=\"\",\"\",ZOZNAM!D95),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!E95=\"\",\"\",ZOZNAM!E95),\"\")","v":5},{"$f":"IF($A104<>\"\",IF(ZOZNAM!F95=\"\",\"\",ZOZNAM!F95),\"\")","v":5},{"$f":"IF($A104<>\"\",IF(ZOZNAM!G95=\"\",\"\",ZOZNAM!G95),\"\")","v":"2019-02-25"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!H95=\"\",\"\",ZOZNAM!H95),\"\")","v":"2019-03-01"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!I95=\"\",\"\",ZOZNAM!I95),\"\")","v":"895 EUR"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!J95=\"\",\"\",ZOZNAM!J95),\"\")","v":"2018-12-17"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!K95=\"\",\"\",ZOZNAM!K95),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8364&EventID=127"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!L95=\"\",\"\",ZOZNAM!L95),\"\")","v":"On this course, participants will learn a conceptual background to Bayesian inference, how to read the literature using Bayesian statistics, and how to interpret the results,an introduction to a software for Bayesian analysis, with political science examples.\nThe course consists of lectures (morning) and lab sessions (afternoon). The lectures deal with relevant background knowledge and specific skills for Bayesian analysis. Hence, participants will also learn basic JAGS and Stan, which are necessary for Bayesian estimation. \nThe course is focused on topics:\nestimation of linear regression models using conjugacy and Markov Chain Monte Carlo (MCMC);\nestimation of various regression models (binary logit/probit, poisson, robust regression, etc) and further topics (model selection and check, data augmentation, etc) in Bayesian framework."},{"$f":"IF($A104<>\"\",IF(ZOZNAM!M95=\"\",\"\",ZOZNAM!M95),\"\")","v":""},{"$f":"IF($A104<>\"\",IF(ZOZNAM!N95=\"\",\"\",ZOZNAM!N95),\"\")","v":"nie"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!O95=\"\",\"\",ZOZNAM!O95),\"\")","v":"nie"},{"$f":"IF($A104<>\"\",IF(ZOZNAM!P95=\"\",\"\",ZOZNAM!P95),\"\")","v":1.8},{"$f":"IF($A104<>\"\",IF(ZOZNAM!Q95=\"\",\"\",ZOZNAM!Q95),\"\")","v":""},{"$f":"IF($A104<>\"\",IF(ZOZNAM!R95=\"\",\"\",ZOZNAM!R95),\"\")","v":""},{"$f":"IF($A104<>\"\",IF(ZOZNAM!S95=\"\",\"\",ZOZNAM!S95),\"\")","v":""},{"$f":"IF($A104<>\"\",IF(ZOZNAM!T95=\"\",\"\",ZOZNAM!T95),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C96)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C96)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C96)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C96)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C96)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C96)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L96)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L96)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L96)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L96)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L96)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L96)),FALSE))),ZOZNAM!G96>=$C$9),ZOZNAM!A96,\"\")","v":"EC281"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!B96=\"\",\"\",ZOZNAM!B96),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!C96=\"\",\"\",ZOZNAM!C96),\"\")","v":"Advanced Qualitative Data Analysis"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!D96=\"\",\"\",ZOZNAM!D96),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!E96=\"\",\"\",ZOZNAM!E96),\"\")","v":5},{"$f":"IF($A105<>\"\",IF(ZOZNAM!F96=\"\",\"\",ZOZNAM!F96),\"\")","v":5},{"$f":"IF($A105<>\"\",IF(ZOZNAM!G96=\"\",\"\",ZOZNAM!G96),\"\")","v":"2019-02-25"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!H96=\"\",\"\",ZOZNAM!H96),\"\")","v":"2019-03-01"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!I96=\"\",\"\",ZOZNAM!I96),\"\")","v":"895 EUR"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!J96=\"\",\"\",ZOZNAM!J96),\"\")","v":"2018-12-17"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!K96=\"\",\"\",ZOZNAM!K96),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8367&EventID=127"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!L96=\"\",\"\",ZOZNAM!L96),\"\")","v":"On this course, participants will gain an advanced understanding and applied skills in qualitative content analysis (QCA), thematic analysis (TA), cross-case analysis (CCA) and grounded theory (GT) using NVivo.\nThe course addresses the gap in the literature and in scholarship training on how to conduct the above methods from the stage of data coding to presenting findings in a CAQDAS environment."},{"$f":"IF($A105<>\"\",IF(ZOZNAM!M96=\"\",\"\",ZOZNAM!M96),\"\")","v":""},{"$f":"IF($A105<>\"\",IF(ZOZNAM!N96=\"\",\"\",ZOZNAM!N96),\"\")","v":"nie"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!O96=\"\",\"\",ZOZNAM!O96),\"\")","v":"nie"},{"$f":"IF($A105<>\"\",IF(ZOZNAM!P96=\"\",\"\",ZOZNAM!P96),\"\")","v":1.8},{"$f":"IF($A105<>\"\",IF(ZOZNAM!Q96=\"\",\"\",ZOZNAM!Q96),\"\")","v":""},{"$f":"IF($A105<>\"\",IF(ZOZNAM!R96=\"\",\"\",ZOZNAM!R96),\"\")","v":""},{"$f":"IF($A105<>\"\",IF(ZOZNAM!S96=\"\",\"\",ZOZNAM!S96),\"\")","v":""},{"$f":"IF($A105<>\"\",IF(ZOZNAM!T96=\"\",\"\",ZOZNAM!T96),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C97)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C97)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C97)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C97)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C97)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C97)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L97)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L97)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L97)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L97)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L97)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L97)),FALSE))),ZOZNAM!G97>=$C$9),ZOZNAM!A97,\"\")","v":"EC282"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!B97=\"\",\"\",ZOZNAM!B97),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!C97=\"\",\"\",ZOZNAM!C97),\"\")","v":"Advanced Multi-Method Research"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!D97=\"\",\"\",ZOZNAM!D97),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!E97=\"\",\"\",ZOZNAM!E97),\"\")","v":5},{"$f":"IF($A106<>\"\",IF(ZOZNAM!F97=\"\",\"\",ZOZNAM!F97),\"\")","v":5},{"$f":"IF($A106<>\"\",IF(ZOZNAM!G97=\"\",\"\",ZOZNAM!G97),\"\")","v":"2019-02-25"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!H97=\"\",\"\",ZOZNAM!H97),\"\")","v":"2019-03-01"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!I97=\"\",\"\",ZOZNAM!I97),\"\")","v":"895 EUR"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!J97=\"\",\"\",ZOZNAM!J97),\"\")","v":"2018-12-17"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!K97=\"\",\"\",ZOZNAM!K97),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8386&EventID=127"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!L97=\"\",\"\",ZOZNAM!L97),\"\")","v":"This course deals with mixed-methods / multimethod research (MMR) in the social sciences. To accommodate participants’ projects, it aims to reflect the diversity of MMR studies in the discipline.\nPArticipants will discuss the broader understanding of combining qualitative and quantitative methods and the more focused approach, linking case studies and process tracing to a large-n method such as Qualitative Comparative Analysis (QCA) or regression analysis. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.\nThe goal of the course is to understand the different varieties in which MMR can be done. \nTopics include concepts in the qualitative and quantitative analysis, case selection for qualitative research, and the compatibility of theoretical expectations and inferences on causal effects and causal mechanisms. Method-centred discussions are illustrated with examples from different fields of political science."},{"$f":"IF($A106<>\"\",IF(ZOZNAM!M97=\"\",\"\",ZOZNAM!M97),\"\")","v":""},{"$f":"IF($A106<>\"\",IF(ZOZNAM!N97=\"\",\"\",ZOZNAM!N97),\"\")","v":"nie"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!O97=\"\",\"\",ZOZNAM!O97),\"\")","v":"nie"},{"$f":"IF($A106<>\"\",IF(ZOZNAM!P97=\"\",\"\",ZOZNAM!P97),\"\")","v":1.8},{"$f":"IF($A106<>\"\",IF(ZOZNAM!Q97=\"\",\"\",ZOZNAM!Q97),\"\")","v":""},{"$f":"IF($A106<>\"\",IF(ZOZNAM!R97=\"\",\"\",ZOZNAM!R97),\"\")","v":""},{"$f":"IF($A106<>\"\",IF(ZOZNAM!S97=\"\",\"\",ZOZNAM!S97),\"\")","v":""},{"$f":"IF($A106<>\"\",IF(ZOZNAM!T97=\"\",\"\",ZOZNAM!T97),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C98)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C98)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C98)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C98)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C98)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C98)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L98)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L98)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L98)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L98)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L98)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L98)),FALSE))),ZOZNAM!G98>=$C$9),ZOZNAM!A98,\"\")","v":"EC283"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!B98=\"\",\"\",ZOZNAM!B98),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!C98=\"\",\"\",ZOZNAM!C98),\"\")","v":"Logistic Regression and General Linear Models"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!D98=\"\",\"\",ZOZNAM!D98),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!E98=\"\",\"\",ZOZNAM!E98),\"\")","v":5},{"$f":"IF($A107<>\"\",IF(ZOZNAM!F98=\"\",\"\",ZOZNAM!F98),\"\")","v":5},{"$f":"IF($A107<>\"\",IF(ZOZNAM!G98=\"\",\"\",ZOZNAM!G98),\"\")","v":"2019-02-25"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!H98=\"\",\"\",ZOZNAM!H98),\"\")","v":"2019-03-01"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!I98=\"\",\"\",ZOZNAM!I98),\"\")","v":"895 EUR"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!J98=\"\",\"\",ZOZNAM!J98),\"\")","v":"2018-12-17"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!K98=\"\",\"\",ZOZNAM!K98),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8362&EventID=127"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!L98=\"\",\"\",ZOZNAM!L98),\"\")","v":"This course is an introduction to General Linear Models (GLMs). Participants will learn how to run a regression model when the dependent variable is not a continuous numerical one.\nThis course will cover a broad family of GLMs, including binary, multinomial, ordered, and conditional logistic regression models, as well as models designed for count data (Poisson regression and negative binomial models).\nStudents will learn practical skills related to running GLMs, including proper interpretation of the regression outcome and presentation of model results in the form of graphs and tables. "},{"$f":"IF($A107<>\"\",IF(ZOZNAM!M98=\"\",\"\",ZOZNAM!M98),\"\")","v":""},{"$f":"IF($A107<>\"\",IF(ZOZNAM!N98=\"\",\"\",ZOZNAM!N98),\"\")","v":"nie"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!O98=\"\",\"\",ZOZNAM!O98),\"\")","v":"nie"},{"$f":"IF($A107<>\"\",IF(ZOZNAM!P98=\"\",\"\",ZOZNAM!P98),\"\")","v":1.8},{"$f":"IF($A107<>\"\",IF(ZOZNAM!Q98=\"\",\"\",ZOZNAM!Q98),\"\")","v":""},{"$f":"IF($A107<>\"\",IF(ZOZNAM!R98=\"\",\"\",ZOZNAM!R98),\"\")","v":""},{"$f":"IF($A107<>\"\",IF(ZOZNAM!S98=\"\",\"\",ZOZNAM!S98),\"\")","v":""},{"$f":"IF($A107<>\"\",IF(ZOZNAM!T98=\"\",\"\",ZOZNAM!T98),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C99)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C99)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C99)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C99)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C99)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C99)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L99)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L99)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L99)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L99)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L99)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L99)),FALSE))),ZOZNAM!G99>=$C$9),ZOZNAM!A99,\"\")","v":"EC284"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!B99=\"\",\"\",ZOZNAM!B99),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!C99=\"\",\"\",ZOZNAM!C99),\"\")","v":"Panel Data Analysis"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!D99=\"\",\"\",ZOZNAM!D99),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!E99=\"\",\"\",ZOZNAM!E99),\"\")","v":5},{"$f":"IF($A108<>\"\",IF(ZOZNAM!F99=\"\",\"\",ZOZNAM!F99),\"\")","v":5},{"$f":"IF($A108<>\"\",IF(ZOZNAM!G99=\"\",\"\",ZOZNAM!G99),\"\")","v":"2019-02-25"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!H99=\"\",\"\",ZOZNAM!H99),\"\")","v":"2019-03-01"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!I99=\"\",\"\",ZOZNAM!I99),\"\")","v":"895 EUR"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!J99=\"\",\"\",ZOZNAM!J99),\"\")","v":"2018-12-17"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!K99=\"\",\"\",ZOZNAM!K99),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8365&EventID=127"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!L99=\"\",\"\",ZOZNAM!L99),\"\")","v":"This course presents different methods for analysing panel data, including:\nfixed-effects\nrandom effects\ndifference-in-differences\nage-period-cohort models\ngrowth curve models\nhybrid models.\nThis is an applied course; no mathematics is involved but the intuition behind the models will be emphasised. We will discuss real data examples using the German Socio-Economic Panel (SOEP) and Stata."},{"$f":"IF($A108<>\"\",IF(ZOZNAM!M99=\"\",\"\",ZOZNAM!M99),\"\")","v":""},{"$f":"IF($A108<>\"\",IF(ZOZNAM!N99=\"\",\"\",ZOZNAM!N99),\"\")","v":"nie"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!O99=\"\",\"\",ZOZNAM!O99),\"\")","v":"nie"},{"$f":"IF($A108<>\"\",IF(ZOZNAM!P99=\"\",\"\",ZOZNAM!P99),\"\")","v":1.8},{"$f":"IF($A108<>\"\",IF(ZOZNAM!Q99=\"\",\"\",ZOZNAM!Q99),\"\")","v":""},{"$f":"IF($A108<>\"\",IF(ZOZNAM!R99=\"\",\"\",ZOZNAM!R99),\"\")","v":""},{"$f":"IF($A108<>\"\",IF(ZOZNAM!S99=\"\",\"\",ZOZNAM!S99),\"\")","v":""},{"$f":"IF($A108<>\"\",IF(ZOZNAM!T99=\"\",\"\",ZOZNAM!T99),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C100)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C100)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C100)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C100)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C100)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C100)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L100)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L100)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L100)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L100)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L100)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L100)),FALSE))),ZOZNAM!G100>=$C$9),ZOZNAM!A100,\"\")","v":"EC285"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!B100=\"\",\"\",ZOZNAM!B100),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!C100=\"\",\"\",ZOZNAM!C100),\"\")","v":"Multilevel Regression Modelling"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!D100=\"\",\"\",ZOZNAM!D100),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!E100=\"\",\"\",ZOZNAM!E100),\"\")","v":5},{"$f":"IF($A109<>\"\",IF(ZOZNAM!F100=\"\",\"\",ZOZNAM!F100),\"\")","v":5},{"$f":"IF($A109<>\"\",IF(ZOZNAM!G100=\"\",\"\",ZOZNAM!G100),\"\")","v":"2019-02-25"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!H100=\"\",\"\",ZOZNAM!H100),\"\")","v":"2019-03-01"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!I100=\"\",\"\",ZOZNAM!I100),\"\")","v":"895 EUR"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!J100=\"\",\"\",ZOZNAM!J100),\"\")","v":"2018-12-17"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!K100=\"\",\"\",ZOZNAM!K100),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8355&EventID=127"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!L100=\"\",\"\",ZOZNAM!L100),\"\")","v":"This course will teach a basic conceptual understanding of multilevel (a.k.a. hierarchical or mixed) modelling and its statistical foundations.\nYou will learn how to critically assess the appropriateness of such techniques in your own and other people’s research.\nIt will pay special attention to the translation of theoretical expectations into statistical models, the interpretation of results in multilevel analyses and the general use and misuse of multilevel models in the social sciences.\nThe course also arms students with the basic tools to run multilevel models in software such as R, Stata or SPSS. \nApplications will include models with continuous and limited dependent variables in hierarchical, longitudinal and cross-classified nesting situations."},{"$f":"IF($A109<>\"\",IF(ZOZNAM!M100=\"\",\"\",ZOZNAM!M100),\"\")","v":""},{"$f":"IF($A109<>\"\",IF(ZOZNAM!N100=\"\",\"\",ZOZNAM!N100),\"\")","v":"nie"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!O100=\"\",\"\",ZOZNAM!O100),\"\")","v":"nie"},{"$f":"IF($A109<>\"\",IF(ZOZNAM!P100=\"\",\"\",ZOZNAM!P100),\"\")","v":1.8},{"$f":"IF($A109<>\"\",IF(ZOZNAM!Q100=\"\",\"\",ZOZNAM!Q100),\"\")","v":""},{"$f":"IF($A109<>\"\",IF(ZOZNAM!R100=\"\",\"\",ZOZNAM!R100),\"\")","v":""},{"$f":"IF($A109<>\"\",IF(ZOZNAM!S100=\"\",\"\",ZOZNAM!S100),\"\")","v":""},{"$f":"IF($A109<>\"\",IF(ZOZNAM!T100=\"\",\"\",ZOZNAM!T100),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C101)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C101)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C101)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C101)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C101)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C101)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L101)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L101)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L101)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L101)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L101)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L101)),FALSE))),ZOZNAM!G101>=$C$9),ZOZNAM!A101,\"\")","v":"EC286"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!B101=\"\",\"\",ZOZNAM!B101),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!C101=\"\",\"\",ZOZNAM!C101),\"\")","v":"Comparative Research Designs"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!D101=\"\",\"\",ZOZNAM!D101),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!E101=\"\",\"\",ZOZNAM!E101),\"\")","v":5},{"$f":"IF($A110<>\"\",IF(ZOZNAM!F101=\"\",\"\",ZOZNAM!F101),\"\")","v":5},{"$f":"IF($A110<>\"\",IF(ZOZNAM!G101=\"\",\"\",ZOZNAM!G101),\"\")","v":"2019-02-25"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!H101=\"\",\"\",ZOZNAM!H101),\"\")","v":"2019-03-01"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!I101=\"\",\"\",ZOZNAM!I101),\"\")","v":"895 EUR"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!J101=\"\",\"\",ZOZNAM!J101),\"\")","v":"2018-12-17"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!K101=\"\",\"\",ZOZNAM!K101),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8336&EventID=127"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!L101=\"\",\"\",ZOZNAM!L101),\"\")","v":"This course teaches how to conceive and conduct the most appropriate comparative research design, broadly defined as any research enterprise that comprises at least two ‘cases’ or units of analysis. It answers fundamental questions including:\nWhat is comparison?\nWhy compare; what is the value of comparison?\nWhat should be the mindset of a good comparative researcher?\nWhat is the link between a research puzzle and the choice for a comparative research design – and what would the alternative(s) be?\nAt which level(s) should ‘cases’ be envisaged?\nWe will examine the practicalities of different types of comparative research, following these hands-on steps:\n- prior arbitrations and ‘casing’, i.e. the definition of cases;\n- case selection, through basic or advanced strategies;\n- collecting and managing comparative data;\n- comparative data analysis (qualitative, QCA and quantitative options)."},{"$f":"IF($A110<>\"\",IF(ZOZNAM!M101=\"\",\"\",ZOZNAM!M101),\"\")","v":""},{"$f":"IF($A110<>\"\",IF(ZOZNAM!N101=\"\",\"\",ZOZNAM!N101),\"\")","v":"nie"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!O101=\"\",\"\",ZOZNAM!O101),\"\")","v":"nie"},{"$f":"IF($A110<>\"\",IF(ZOZNAM!P101=\"\",\"\",ZOZNAM!P101),\"\")","v":1.8},{"$f":"IF($A110<>\"\",IF(ZOZNAM!Q101=\"\",\"\",ZOZNAM!Q101),\"\")","v":""},{"$f":"IF($A110<>\"\",IF(ZOZNAM!R101=\"\",\"\",ZOZNAM!R101),\"\")","v":""},{"$f":"IF($A110<>\"\",IF(ZOZNAM!S101=\"\",\"\",ZOZNAM!S101),\"\")","v":""},{"$f":"IF($A110<>\"\",IF(ZOZNAM!T101=\"\",\"\",ZOZNAM!T101),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C102)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C102)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C102)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C102)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C102)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C102)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L102)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L102)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L102)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L102)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L102)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L102)),FALSE))),ZOZNAM!G102>=$C$9),ZOZNAM!A102,\"\")","v":"EC287"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!B102=\"\",\"\",ZOZNAM!B102),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!C102=\"\",\"\",ZOZNAM!C102),\"\")","v":"Introduction to Process Tracing"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!D102=\"\",\"\",ZOZNAM!D102),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!E102=\"\",\"\",ZOZNAM!E102),\"\")","v":5},{"$f":"IF($A111<>\"\",IF(ZOZNAM!F102=\"\",\"\",ZOZNAM!F102),\"\")","v":5},{"$f":"IF($A111<>\"\",IF(ZOZNAM!G102=\"\",\"\",ZOZNAM!G102),\"\")","v":"2019-02-25"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!H102=\"\",\"\",ZOZNAM!H102),\"\")","v":"2019-03-01"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!I102=\"\",\"\",ZOZNAM!I102),\"\")","v":"895 EUR"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!J102=\"\",\"\",ZOZNAM!J102),\"\")","v":"2018-12-17"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!K102=\"\",\"\",ZOZNAM!K102),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8350&EventID=127"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!L102=\"\",\"\",ZOZNAM!L102),\"\")","v":"This course will introduce you to the essentials of process tracing PT within method that focuses on tracing casual mechanisms – the 'link' between a trigger (X) and an outcome (Y). , its main underlying assumptions, and its applicability. We will discuss what causal mechanisms are, how we can 'trace' them, and what kind of causal inferences we can draw on the bases of a process-tracing study.\n\nTo position PT in the broader methodological field, we will look at how it relates to, but differs from, other (larger- and small-N) case study methods, and discuss what understanding of causality underlies PT.\nThis is a hands-on course, applying new insights to concrete examples and, when possible, to participants' own research projects."},{"$f":"IF($A111<>\"\",IF(ZOZNAM!M102=\"\",\"\",ZOZNAM!M102),\"\")","v":""},{"$f":"IF($A111<>\"\",IF(ZOZNAM!N102=\"\",\"\",ZOZNAM!N102),\"\")","v":"nie"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!O102=\"\",\"\",ZOZNAM!O102),\"\")","v":"nie"},{"$f":"IF($A111<>\"\",IF(ZOZNAM!P102=\"\",\"\",ZOZNAM!P102),\"\")","v":1.8},{"$f":"IF($A111<>\"\",IF(ZOZNAM!Q102=\"\",\"\",ZOZNAM!Q102),\"\")","v":""},{"$f":"IF($A111<>\"\",IF(ZOZNAM!R102=\"\",\"\",ZOZNAM!R102),\"\")","v":""},{"$f":"IF($A111<>\"\",IF(ZOZNAM!S102=\"\",\"\",ZOZNAM!S102),\"\")","v":""},{"$f":"IF($A111<>\"\",IF(ZOZNAM!T102=\"\",\"\",ZOZNAM!T102),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C103)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C103)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C103)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C103)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C103)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C103)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L103)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L103)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L103)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L103)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L103)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L103)),FALSE))),ZOZNAM!G103>=$C$9),ZOZNAM!A103,\"\")","v":"EC288"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!B103=\"\",\"\",ZOZNAM!B103),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!C103=\"\",\"\",ZOZNAM!C103),\"\")","v":"Introduction to Qualitative Interpretive Methods"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!D103=\"\",\"\",ZOZNAM!D103),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!E103=\"\",\"\",ZOZNAM!E103),\"\")","v":5},{"$f":"IF($A112<>\"\",IF(ZOZNAM!F103=\"\",\"\",ZOZNAM!F103),\"\")","v":5},{"$f":"IF($A112<>\"\",IF(ZOZNAM!G103=\"\",\"\",ZOZNAM!G103),\"\")","v":"2019-02-25"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!H103=\"\",\"\",ZOZNAM!H103),\"\")","v":"2019-03-01"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!I103=\"\",\"\",ZOZNAM!I103),\"\")","v":"895 EUR"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!J103=\"\",\"\",ZOZNAM!J103),\"\")","v":"2018-12-17"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!K103=\"\",\"\",ZOZNAM!K103),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8338&EventID=127"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!L103=\"\",\"\",ZOZNAM!L103),\"\")","v":"This course is for PhD students who have just started an interpretive or qualitative research project. It is aimed primarily at students of political science, sociology, international relations and public administration, but students of other social science disciplines such as public policy and anthropology will also benefit from it.\n\nThe course is organised around the typical steps of a research process – from how to formulate an interpretive research question to how to present and document analyses. It introduces a broad spectrum of interpretive approaches with a focus in particular on narrative methods and discourse analysis. These two approaches provide a good representation of different interpretive strategies, and by understanding their logics and uses, you will be able to select a research strategy that best fits your own research question."},{"$f":"IF($A112<>\"\",IF(ZOZNAM!M103=\"\",\"\",ZOZNAM!M103),\"\")","v":""},{"$f":"IF($A112<>\"\",IF(ZOZNAM!N103=\"\",\"\",ZOZNAM!N103),\"\")","v":"nie"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!O103=\"\",\"\",ZOZNAM!O103),\"\")","v":"nie"},{"$f":"IF($A112<>\"\",IF(ZOZNAM!P103=\"\",\"\",ZOZNAM!P103),\"\")","v":1.8},{"$f":"IF($A112<>\"\",IF(ZOZNAM!Q103=\"\",\"\",ZOZNAM!Q103),\"\")","v":""},{"$f":"IF($A112<>\"\",IF(ZOZNAM!R103=\"\",\"\",ZOZNAM!R103),\"\")","v":""},{"$f":"IF($A112<>\"\",IF(ZOZNAM!S103=\"\",\"\",ZOZNAM!S103),\"\")","v":""},{"$f":"IF($A112<>\"\",IF(ZOZNAM!T103=\"\",\"\",ZOZNAM!T103),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C104)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C104)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C104)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C104)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C104)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C104)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L104)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L104)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L104)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L104)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L104)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L104)),FALSE))),ZOZNAM!G104>=$C$9),ZOZNAM!A104,\"\")","v":"EC289"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!B104=\"\",\"\",ZOZNAM!B104),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!C104=\"\",\"\",ZOZNAM!C104),\"\")","v":"Qualitative Interviewing Workshop"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!D104=\"\",\"\",ZOZNAM!D104),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!E104=\"\",\"\",ZOZNAM!E104),\"\")","v":5},{"$f":"IF($A113<>\"\",IF(ZOZNAM!F104=\"\",\"\",ZOZNAM!F104),\"\")","v":5},{"$f":"IF($A113<>\"\",IF(ZOZNAM!G104=\"\",\"\",ZOZNAM!G104),\"\")","v":"2019-02-25"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!H104=\"\",\"\",ZOZNAM!H104),\"\")","v":"2019-03-01"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!I104=\"\",\"\",ZOZNAM!I104),\"\")","v":"895 EUR"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!J104=\"\",\"\",ZOZNAM!J104),\"\")","v":"2018-12-17"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!K104=\"\",\"\",ZOZNAM!K104),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8345&EventID=127"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!L104=\"\",\"\",ZOZNAM!L104),\"\")","v":"This hands-on course will give students methodological tools, and a space for critical reflection, to refine qualitative interviewing techniques in your own research.\nLectures and discussions are about key methodological issues. This will broaden students´s methodological horizons and improve their understanding of how data collection through interviewing fits into the overall research design, whether qualitative or mixed methods. They will learn how interview data collection relates to epistemological and theoretical as well as practical and ethical questions."},{"$f":"IF($A113<>\"\",IF(ZOZNAM!M104=\"\",\"\",ZOZNAM!M104),\"\")","v":""},{"$f":"IF($A113<>\"\",IF(ZOZNAM!N104=\"\",\"\",ZOZNAM!N104),\"\")","v":"nie"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!O104=\"\",\"\",ZOZNAM!O104),\"\")","v":"nie"},{"$f":"IF($A113<>\"\",IF(ZOZNAM!P104=\"\",\"\",ZOZNAM!P104),\"\")","v":1.8},{"$f":"IF($A113<>\"\",IF(ZOZNAM!Q104=\"\",\"\",ZOZNAM!Q104),\"\")","v":""},{"$f":"IF($A113<>\"\",IF(ZOZNAM!R104=\"\",\"\",ZOZNAM!R104),\"\")","v":""},{"$f":"IF($A113<>\"\",IF(ZOZNAM!S104=\"\",\"\",ZOZNAM!S104),\"\")","v":""},{"$f":"IF($A113<>\"\",IF(ZOZNAM!T104=\"\",\"\",ZOZNAM!T104),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C106)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C106)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C106)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C106)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C106)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C106)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L106)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L106)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L106)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L106)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L106)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L106)),FALSE))),ZOZNAM!G106>=$C$9),ZOZNAM!A106,\"\")","v":"EC291"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!B106=\"\",\"\",ZOZNAM!B106),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!C106=\"\",\"\",ZOZNAM!C106),\"\")","v":"Survey Design"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!D106=\"\",\"\",ZOZNAM!D106),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!E106=\"\",\"\",ZOZNAM!E106),\"\")","v":5},{"$f":"IF($A115<>\"\",IF(ZOZNAM!F106=\"\",\"\",ZOZNAM!F106),\"\")","v":5},{"$f":"IF($A115<>\"\",IF(ZOZNAM!G106=\"\",\"\",ZOZNAM!G106),\"\")","v":"2019-02-25"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!H106=\"\",\"\",ZOZNAM!H106),\"\")","v":"2019-03-01"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!I106=\"\",\"\",ZOZNAM!I106),\"\")","v":"895 EUR"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!J106=\"\",\"\",ZOZNAM!J106),\"\")","v":"2018-12-17"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!K106=\"\",\"\",ZOZNAM!K106),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8347&EventID=127"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!L106=\"\",\"\",ZOZNAM!L106),\"\")","v":"This course provides in-depth guidelines to survey research design, embedding and discussing the so-called Total Survey Error (TSE) framework.\nThe course will discuss the assumption of the TSE and critically evaluate the full survey life cycle against this paradigm, participants will discuss the core of idea of survey sampling and trade-offs between probability and non-probability samples; mode selection and trade-offs; question and questionnaire design, fieldwork implementation; effects of response and non-response; as well as new challenges to survey design and extensions to the TSE.\nThe content will be applicable to surveys of individuals, households, and organisations."},{"$f":"IF($A115<>\"\",IF(ZOZNAM!M106=\"\",\"\",ZOZNAM!M106),\"\")","v":""},{"$f":"IF($A115<>\"\",IF(ZOZNAM!N106=\"\",\"\",ZOZNAM!N106),\"\")","v":"nie"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!O106=\"\",\"\",ZOZNAM!O106),\"\")","v":"nie"},{"$f":"IF($A115<>\"\",IF(ZOZNAM!P106=\"\",\"\",ZOZNAM!P106),\"\")","v":1.8},{"$f":"IF($A115<>\"\",IF(ZOZNAM!Q106=\"\",\"\",ZOZNAM!Q106),\"\")","v":""},{"$f":"IF($A115<>\"\",IF(ZOZNAM!R106=\"\",\"\",ZOZNAM!R106),\"\")","v":""},{"$f":"IF($A115<>\"\",IF(ZOZNAM!S106=\"\",\"\",ZOZNAM!S106),\"\")","v":""},{"$f":"IF($A115<>\"\",IF(ZOZNAM!T106=\"\",\"\",ZOZNAM!T106),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C107)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C107)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C107)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C107)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C107)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C107)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L107)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L107)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L107)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L107)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L107)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L107)),FALSE))),ZOZNAM!G107>=$C$9),ZOZNAM!A107,\"\")","v":"EC292"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!B107=\"\",\"\",ZOZNAM!B107),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!C107=\"\",\"\",ZOZNAM!C107),\"\")","v":"Advanced Process-tracing Workshop"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!D107=\"\",\"\",ZOZNAM!D107),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!E107=\"\",\"\",ZOZNAM!E107),\"\")","v":5},{"$f":"IF($A116<>\"\",IF(ZOZNAM!F107=\"\",\"\",ZOZNAM!F107),\"\")","v":5},{"$f":"IF($A116<>\"\",IF(ZOZNAM!G107=\"\",\"\",ZOZNAM!G107),\"\")","v":"2019-02-25"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!H107=\"\",\"\",ZOZNAM!H107),\"\")","v":"2019-03-01"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!I107=\"\",\"\",ZOZNAM!I107),\"\")","v":"895 EUR"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!J107=\"\",\"\",ZOZNAM!J107),\"\")","v":"2018-12-17"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!K107=\"\",\"\",ZOZNAM!K107),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8353&EventID=127"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!L107=\"\",\"\",ZOZNAM!L107),\"\")","v":"This hands-on course gives the methodological tools to refine use of process-tracing methods in own substantive research. It will also enable to embed process-tracing case studies in mixed-methods research design. \nStudents will discuss aspects of participants' projects, including theories of causal mechanisms and how we can develop testable predictions about evidence that the activities associated with parts of mechanisms might leave in a given case."},{"$f":"IF($A116<>\"\",IF(ZOZNAM!M107=\"\",\"\",ZOZNAM!M107),\"\")","v":""},{"$f":"IF($A116<>\"\",IF(ZOZNAM!N107=\"\",\"\",ZOZNAM!N107),\"\")","v":"nie"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!O107=\"\",\"\",ZOZNAM!O107),\"\")","v":"nie"},{"$f":"IF($A116<>\"\",IF(ZOZNAM!P107=\"\",\"\",ZOZNAM!P107),\"\")","v":1.8},{"$f":"IF($A116<>\"\",IF(ZOZNAM!Q107=\"\",\"\",ZOZNAM!Q107),\"\")","v":""},{"$f":"IF($A116<>\"\",IF(ZOZNAM!R107=\"\",\"\",ZOZNAM!R107),\"\")","v":""},{"$f":"IF($A116<>\"\",IF(ZOZNAM!S107=\"\",\"\",ZOZNAM!S107),\"\")","v":""},{"$f":"IF($A116<>\"\",IF(ZOZNAM!T107=\"\",\"\",ZOZNAM!T107),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C108)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C108)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C108)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C108)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C108)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C108)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L108)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L108)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L108)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L108)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L108)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L108)),FALSE))),ZOZNAM!G108>=$C$9),ZOZNAM!A108,\"\")","v":"EC293"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!B108=\"\",\"\",ZOZNAM!B108),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!C108=\"\",\"\",ZOZNAM!C108),\"\")","v":"Advanced Topics in Set-Theoretic Methods and QCA"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!D108=\"\",\"\",ZOZNAM!D108),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!E108=\"\",\"\",ZOZNAM!E108),\"\")","v":5},{"$f":"IF($A117<>\"\",IF(ZOZNAM!F108=\"\",\"\",ZOZNAM!F108),\"\")","v":5},{"$f":"IF($A117<>\"\",IF(ZOZNAM!G108=\"\",\"\",ZOZNAM!G108),\"\")","v":"2019-02-25"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!H108=\"\",\"\",ZOZNAM!H108),\"\")","v":"2019-03-01"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!I108=\"\",\"\",ZOZNAM!I108),\"\")","v":"895 EUR"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!J108=\"\",\"\",ZOZNAM!J108),\"\")","v":"2018-12-17"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!K108=\"\",\"\",ZOZNAM!K108),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8397&EventID=127"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!L108=\"\",\"\",ZOZNAM!L108),\"\")","v":"This course addresses advanced issues that arise if and when scholars embrace notions of sets and their relations. While it is a course about set-theoretic methods writ large, most of the time, we will discuss issues specific to QCA.\nIn this course, we discuss the issues raised by theses critiques, and go beyond them to explore the hitherto under-used potentials of set-theoretic methods.\nMore emphasis is put on topics:\nset-theoretic multi-method research\nrobustness and sensitivity\nset-theoretic theory evaluation\nenhanced Standard Analysis\ndata structures and set-theoretic methods, including temporal ordering and two-step QCA\nmodel ambiguity\nmulti-value QCA.\n\n"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!M108=\"\",\"\",ZOZNAM!M108),\"\")","v":""},{"$f":"IF($A117<>\"\",IF(ZOZNAM!N108=\"\",\"\",ZOZNAM!N108),\"\")","v":"nie"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!O108=\"\",\"\",ZOZNAM!O108),\"\")","v":"nie"},{"$f":"IF($A117<>\"\",IF(ZOZNAM!P108=\"\",\"\",ZOZNAM!P108),\"\")","v":1.8},{"$f":"IF($A117<>\"\",IF(ZOZNAM!Q108=\"\",\"\",ZOZNAM!Q108),\"\")","v":""},{"$f":"IF($A117<>\"\",IF(ZOZNAM!R108=\"\",\"\",ZOZNAM!R108),\"\")","v":""},{"$f":"IF($A117<>\"\",IF(ZOZNAM!S108=\"\",\"\",ZOZNAM!S108),\"\")","v":""},{"$f":"IF($A117<>\"\",IF(ZOZNAM!T108=\"\",\"\",ZOZNAM!T108),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C110)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C110)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C110)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C110)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C110)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C110)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L110)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L110)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L110)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L110)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L110)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L110)),FALSE))),ZOZNAM!G110>=$C$9),ZOZNAM!A110,\"\")","v":"EC295"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!B110=\"\",\"\",ZOZNAM!B110),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!C110=\"\",\"\",ZOZNAM!C110),\"\")","v":"Structural Equation Modelling (SEM) with R"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!D110=\"\",\"\",ZOZNAM!D110),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!E110=\"\",\"\",ZOZNAM!E110),\"\")","v":5},{"$f":"IF($A119<>\"\",IF(ZOZNAM!F110=\"\",\"\",ZOZNAM!F110),\"\")","v":5},{"$f":"IF($A119<>\"\",IF(ZOZNAM!G110=\"\",\"\",ZOZNAM!G110),\"\")","v":"2019-02-25"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!H110=\"\",\"\",ZOZNAM!H110),\"\")","v":"2019-03-01"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!I110=\"\",\"\",ZOZNAM!I110),\"\")","v":"895 EUR"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!J110=\"\",\"\",ZOZNAM!J110),\"\")","v":"2018-12-17"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!K110=\"\",\"\",ZOZNAM!K110),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8356&EventID=127"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!L110=\"\",\"\",ZOZNAM!L110),\"\")","v":"The course gives an introduction to theory and practice of Structural Equation Modelling (SEM).\nIt answers the question, why is it more beneficial to use SEM, compared to classical path models. It is shown, how the theoretical latent constructs (e.g. social and political attitudes, and values) can be measured and explained with their relationships with other variables. The course highlights the theoretically and empirically important aspects of model comparison between different groups (such as countries or different years in a longitudinal survey)."},{"$f":"IF($A119<>\"\",IF(ZOZNAM!M110=\"\",\"\",ZOZNAM!M110),\"\")","v":""},{"$f":"IF($A119<>\"\",IF(ZOZNAM!N110=\"\",\"\",ZOZNAM!N110),\"\")","v":"nie"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!O110=\"\",\"\",ZOZNAM!O110),\"\")","v":"nie"},{"$f":"IF($A119<>\"\",IF(ZOZNAM!P110=\"\",\"\",ZOZNAM!P110),\"\")","v":1.8},{"$f":"IF($A119<>\"\",IF(ZOZNAM!Q110=\"\",\"\",ZOZNAM!Q110),\"\")","v":""},{"$f":"IF($A119<>\"\",IF(ZOZNAM!R110=\"\",\"\",ZOZNAM!R110),\"\")","v":""},{"$f":"IF($A119<>\"\",IF(ZOZNAM!S110=\"\",\"\",ZOZNAM!S110),\"\")","v":""},{"$f":"IF($A119<>\"\",IF(ZOZNAM!T110=\"\",\"\",ZOZNAM!T110),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C111)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C111)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C111)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C111)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C111)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C111)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L111)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L111)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L111)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L111)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L111)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L111)),FALSE))),ZOZNAM!G111>=$C$9),ZOZNAM!A111,\"\")","v":"EC296"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!B111=\"\",\"\",ZOZNAM!B111),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!C111=\"\",\"\",ZOZNAM!C111),\"\")","v":"Times Series Analysis"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!D111=\"\",\"\",ZOZNAM!D111),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!E111=\"\",\"\",ZOZNAM!E111),\"\")","v":5},{"$f":"IF($A120<>\"\",IF(ZOZNAM!F111=\"\",\"\",ZOZNAM!F111),\"\")","v":5},{"$f":"IF($A120<>\"\",IF(ZOZNAM!G111=\"\",\"\",ZOZNAM!G111),\"\")","v":"2019-02-25"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!H111=\"\",\"\",ZOZNAM!H111),\"\")","v":"2019-03-01"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!I111=\"\",\"\",ZOZNAM!I111),\"\")","v":"895 EUR"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!J111=\"\",\"\",ZOZNAM!J111),\"\")","v":"2018-12-17"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!K111=\"\",\"\",ZOZNAM!K111),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8351&EventID=127"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!L111=\"\",\"\",ZOZNAM!L111),\"\")","v":"This course is a comprehensive introduction to time series analysis with R. Students will gain an understanding of time series and learn how to meaningful inferences and forecasts from data collected over time.\nIt will successively introduce more complex aspects of statistical analysis. \nThe course takes a hands-on approach to teaching the logic of analysis and estimation. I will present examples of application of techniques to the actual data, and you will perform a variety of data analyses."},{"$f":"IF($A120<>\"\",IF(ZOZNAM!M111=\"\",\"\",ZOZNAM!M111),\"\")","v":""},{"$f":"IF($A120<>\"\",IF(ZOZNAM!N111=\"\",\"\",ZOZNAM!N111),\"\")","v":"nie"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!O111=\"\",\"\",ZOZNAM!O111),\"\")","v":"nie"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!P111=\"\",\"\",ZOZNAM!P111),\"\")","v":1.8},{"$f":"IF($A120<>\"\",IF(ZOZNAM!Q111=\"\",\"\",ZOZNAM!Q111),\"\")","v":4},{"$f":"IF($A120<>\"\",IF(ZOZNAM!R111=\"\",\"\",ZOZNAM!R111),\"\")","v":1},{"$f":"IF($A120<>\"\",IF(ZOZNAM!S111=\"\",\"\",ZOZNAM!S111),\"\")","v":"Pokročilým"},{"$f":"IF($A120<>\"\",IF(ZOZNAM!T111=\"\",\"\",ZOZNAM!T111),\"\")","v":"Kurz nenaplnil očakávania účastníka. Pedagógovia ako odborníci získali nízke hodnotenie, účastník by uvítal viac sa držať študijných materiálov. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C112)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C112)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C112)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C112)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C112)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C112)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L112)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L112)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L112)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L112)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L112)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L112)),FALSE))),ZOZNAM!G112>=$C$9),ZOZNAM!A112,\"\")","v":"EC297"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!B112=\"\",\"\",ZOZNAM!B112),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!C112=\"\",\"\",ZOZNAM!C112),\"\")","v":"Advanced Sequence Analysis"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!D112=\"\",\"\",ZOZNAM!D112),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!E112=\"\",\"\",ZOZNAM!E112),\"\")","v":5},{"$f":"IF($A121<>\"\",IF(ZOZNAM!F112=\"\",\"\",ZOZNAM!F112),\"\")","v":5},{"$f":"IF($A121<>\"\",IF(ZOZNAM!G112=\"\",\"\",ZOZNAM!G112),\"\")","v":"2019-02-25"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!H112=\"\",\"\",ZOZNAM!H112),\"\")","v":"2019-03-01"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!I112=\"\",\"\",ZOZNAM!I112),\"\")","v":"895 EUR"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!J112=\"\",\"\",ZOZNAM!J112),\"\")","v":"2018-12-17"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!K112=\"\",\"\",ZOZNAM!K112),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8373&EventID=127"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!L112=\"\",\"\",ZOZNAM!L112),\"\")","v":"This course is concerned about sequence analysis which is the systematic descriptive and causal study of sequences; that is, successions of standard categorical states or events.\n\nNumerous fields in the social and political sciences are concerned with sequences, including life course, the sociology of professional careers, political sociology, the evolution of regimes and elections. Yet so far, most of the applied literature in sequence analysis is limited to a few basic methods, namely descriptive sequential statistics, individual and distribution graphs, and typologies.\n"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!M112=\"\",\"\",ZOZNAM!M112),\"\")","v":""},{"$f":"IF($A121<>\"\",IF(ZOZNAM!N112=\"\",\"\",ZOZNAM!N112),\"\")","v":"nie"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!O112=\"\",\"\",ZOZNAM!O112),\"\")","v":"nie"},{"$f":"IF($A121<>\"\",IF(ZOZNAM!P112=\"\",\"\",ZOZNAM!P112),\"\")","v":1.8},{"$f":"IF($A121<>\"\",IF(ZOZNAM!Q112=\"\",\"\",ZOZNAM!Q112),\"\")","v":""},{"$f":"IF($A121<>\"\",IF(ZOZNAM!R112=\"\",\"\",ZOZNAM!R112),\"\")","v":""},{"$f":"IF($A121<>\"\",IF(ZOZNAM!S112=\"\",\"\",ZOZNAM!S112),\"\")","v":""},{"$f":"IF($A121<>\"\",IF(ZOZNAM!T112=\"\",\"\",ZOZNAM!T112),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C113)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C113)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C113)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C113)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C113)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C113)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L113)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L113)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L113)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L113)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L113)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L113)),FALSE))),ZOZNAM!G113>=$C$9),ZOZNAM!A113,\"\")","v":"EC298"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!B113=\"\",\"\",ZOZNAM!B113),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!C113=\"\",\"\",ZOZNAM!C113),\"\")","v":"Event History and Survival Analysis"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!D113=\"\",\"\",ZOZNAM!D113),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!E113=\"\",\"\",ZOZNAM!E113),\"\")","v":5},{"$f":"IF($A122<>\"\",IF(ZOZNAM!F113=\"\",\"\",ZOZNAM!F113),\"\")","v":5},{"$f":"IF($A122<>\"\",IF(ZOZNAM!G113=\"\",\"\",ZOZNAM!G113),\"\")","v":"2019-02-25"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!H113=\"\",\"\",ZOZNAM!H113),\"\")","v":"2019-03-01"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!I113=\"\",\"\",ZOZNAM!I113),\"\")","v":"895 EUR"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!J113=\"\",\"\",ZOZNAM!J113),\"\")","v":"2018-12-17"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!K113=\"\",\"\",ZOZNAM!K113),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8374&EventID=127"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!L113=\"\",\"\",ZOZNAM!L113),\"\")","v":"In this course, participants will thoroughly study a situation when there is only one event per subject, but will also quickly review the extensions to a sufficient degree for them to be able to continue their work in the area. \nThe most distinctive feature of time to event data is that the event is often not observed at the time of analysis. Applying standard statistical methods to such data leads to severe bias or loss of information.\nSpecial methods are therefore needed to extract information. \n\nCourse will include practical examples, for which will be used the software package R. "},{"$f":"IF($A122<>\"\",IF(ZOZNAM!M113=\"\",\"\",ZOZNAM!M113),\"\")","v":""},{"$f":"IF($A122<>\"\",IF(ZOZNAM!N113=\"\",\"\",ZOZNAM!N113),\"\")","v":"nie"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!O113=\"\",\"\",ZOZNAM!O113),\"\")","v":"nie"},{"$f":"IF($A122<>\"\",IF(ZOZNAM!P113=\"\",\"\",ZOZNAM!P113),\"\")","v":1.8},{"$f":"IF($A122<>\"\",IF(ZOZNAM!Q113=\"\",\"\",ZOZNAM!Q113),\"\")","v":""},{"$f":"IF($A122<>\"\",IF(ZOZNAM!R113=\"\",\"\",ZOZNAM!R113),\"\")","v":""},{"$f":"IF($A122<>\"\",IF(ZOZNAM!S113=\"\",\"\",ZOZNAM!S113),\"\")","v":""},{"$f":"IF($A122<>\"\",IF(ZOZNAM!T113=\"\",\"\",ZOZNAM!T113),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C114)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C114)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C114)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C114)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C114)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C114)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L114)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L114)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L114)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L114)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L114)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L114)),FALSE))),ZOZNAM!G114>=$C$9),ZOZNAM!A114,\"\")","v":"EC299"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!B114=\"\",\"\",ZOZNAM!B114),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!C114=\"\",\"\",ZOZNAM!C114),\"\")","v":"Introduction to Machine Learning for the Social Sciences"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!D114=\"\",\"\",ZOZNAM!D114),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!E114=\"\",\"\",ZOZNAM!E114),\"\")","v":5},{"$f":"IF($A123<>\"\",IF(ZOZNAM!F114=\"\",\"\",ZOZNAM!F114),\"\")","v":5},{"$f":"IF($A123<>\"\",IF(ZOZNAM!G114=\"\",\"\",ZOZNAM!G114),\"\")","v":"2019-02-25"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!H114=\"\",\"\",ZOZNAM!H114),\"\")","v":"2019-03-01"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!I114=\"\",\"\",ZOZNAM!I114),\"\")","v":"895 EUR"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!J114=\"\",\"\",ZOZNAM!J114),\"\")","v":"2018-12-17"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!K114=\"\",\"\",ZOZNAM!K114),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8393&EventID=127"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!L114=\"\",\"\",ZOZNAM!L114),\"\")","v":"In this course, participants will learn the fundamentals of machine learning as a data analysis approach, and will get an overview of the most common and versatile classes of ML algorithms in use today.\nBy the end of the course, they will be able to identify what kind of technique is most suitable for their research question and data, and how to design, test and interpret their models. They will also be equipped with sufficient basic knowledge to proceed independently for more advanced algorithms and problems."},{"$f":"IF($A123<>\"\",IF(ZOZNAM!M114=\"\",\"\",ZOZNAM!M114),\"\")","v":""},{"$f":"IF($A123<>\"\",IF(ZOZNAM!N114=\"\",\"\",ZOZNAM!N114),\"\")","v":"nie"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!O114=\"\",\"\",ZOZNAM!O114),\"\")","v":"nie"},{"$f":"IF($A123<>\"\",IF(ZOZNAM!P114=\"\",\"\",ZOZNAM!P114),\"\")","v":1.8},{"$f":"IF($A123<>\"\",IF(ZOZNAM!Q114=\"\",\"\",ZOZNAM!Q114),\"\")","v":""},{"$f":"IF($A123<>\"\",IF(ZOZNAM!R114=\"\",\"\",ZOZNAM!R114),\"\")","v":""},{"$f":"IF($A123<>\"\",IF(ZOZNAM!S114=\"\",\"\",ZOZNAM!S114),\"\")","v":""},{"$f":"IF($A123<>\"\",IF(ZOZNAM!T114=\"\",\"\",ZOZNAM!T114),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C115)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C115)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C115)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C115)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C115)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C115)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L115)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L115)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L115)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L115)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L115)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L115)),FALSE))),ZOZNAM!G115>=$C$9),ZOZNAM!A115,\"\")","v":"EC188"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!B115=\"\",\"\",ZOZNAM!B115),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!C115=\"\",\"\",ZOZNAM!C115),\"\")","v":"Python Programming for Social Scientists: Big Data, Web Scraping and Other Useful Programming Tricks"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!D115=\"\",\"\",ZOZNAM!D115),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!E115=\"\",\"\",ZOZNAM!E115),\"\")","v":1},{"$f":"IF($A124<>\"\",IF(ZOZNAM!F115=\"\",\"\",ZOZNAM!F115),\"\")","v":2},{"$f":"IF($A124<>\"\",IF(ZOZNAM!G115=\"\",\"\",ZOZNAM!G115),\"\")","v":"2019-07-26"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!H115=\"\",\"\",ZOZNAM!H115),\"\")","v":"2019-07-27"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!I115=\"\",\"\",ZOZNAM!I115),\"\")","v":"420 EUR"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!J115=\"\",\"\",ZOZNAM!J115),\"\")","v":"2019-05-29"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!K115=\"\",\"\",ZOZNAM!K115),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8412&EventID=131"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!L115=\"\",\"\",ZOZNAM!L115),\"\")","v":"This course offers an introduction to programming with Python, starting from the basics, and focusing on solving problems around data collection, processing and analysis.\n\nBy the end of this course, participants will have experience with techniques vital to effective data management:\nThe basic syntax and use of Python as a data analysis tool, including writing and executing scripts to automate common tasks, using the IPython interpreter for interactive exploration of data and code, and using the Jupyter notebook to share and collaborate.\nLoading data from a variety of common formats such as csv, html, json\nManipulating data efficiently with Pandas\nBasic web scraping\nUse of web APIs\nUse of special python packages such as data visualisation libraries"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!M115=\"\",\"\",ZOZNAM!M115),\"\")","v":""},{"$f":"IF($A124<>\"\",IF(ZOZNAM!N115=\"\",\"\",ZOZNAM!N115),\"\")","v":"nie"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!O115=\"\",\"\",ZOZNAM!O115),\"\")","v":"nie"},{"$f":"IF($A124<>\"\",IF(ZOZNAM!P115=\"\",\"\",ZOZNAM!P115),\"\")","v":1.8},{"$f":"IF($A124<>\"\",IF(ZOZNAM!Q115=\"\",\"\",ZOZNAM!Q115),\"\")","v":""},{"$f":"IF($A124<>\"\",IF(ZOZNAM!R115=\"\",\"\",ZOZNAM!R115),\"\")","v":""},{"$f":"IF($A124<>\"\",IF(ZOZNAM!S115=\"\",\"\",ZOZNAM!S115),\"\")","v":""},{"$f":"IF($A124<>\"\",IF(ZOZNAM!T115=\"\",\"\",ZOZNAM!T115),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C116)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C116)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C116)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C116)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C116)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C116)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L116)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L116)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L116)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L116)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L116)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L116)),FALSE))),ZOZNAM!G116>=$C$9),ZOZNAM!A116,\"\")","v":"EC189"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!B116=\"\",\"\",ZOZNAM!B116),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!C116=\"\",\"\",ZOZNAM!C116),\"\")","v":"Refresher in Regression"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!D116=\"\",\"\",ZOZNAM!D116),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!E116=\"\",\"\",ZOZNAM!E116),\"\")","v":1},{"$f":"IF($A125<>\"\",IF(ZOZNAM!F116=\"\",\"\",ZOZNAM!F116),\"\")","v":2},{"$f":"IF($A125<>\"\",IF(ZOZNAM!G116=\"\",\"\",ZOZNAM!G116),\"\")","v":"2019-07-26"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!H116=\"\",\"\",ZOZNAM!H116),\"\")","v":"2019-07-27"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!I116=\"\",\"\",ZOZNAM!I116),\"\")","v":"420 EUR"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!J116=\"\",\"\",ZOZNAM!J116),\"\")","v":"2019-05-29"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!K116=\"\",\"\",ZOZNAM!K116),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8446&EventID=131"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!L116=\"\",\"\",ZOZNAM!L116),\"\")","v":"This course is a refresher about regression. \n \nIt covers the conceptual foundations of statistical inference. Then it launches into the maths underlying regression (in the most user-friendly way humanly possible – do not worry), also course turns to regression’s multivariate form. \n\nThe secondary goal of this class is to review the foundations:\nautocorrelation in multilevel regression\npanel data and time series\nmeasurement error in structural equations\nlimited dependent variables in logistic regression and general linear models, etc."},{"$f":"IF($A125<>\"\",IF(ZOZNAM!M116=\"\",\"\",ZOZNAM!M116),\"\")","v":""},{"$f":"IF($A125<>\"\",IF(ZOZNAM!N116=\"\",\"\",ZOZNAM!N116),\"\")","v":"nie"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!O116=\"\",\"\",ZOZNAM!O116),\"\")","v":"nie"},{"$f":"IF($A125<>\"\",IF(ZOZNAM!P116=\"\",\"\",ZOZNAM!P116),\"\")","v":1.8},{"$f":"IF($A125<>\"\",IF(ZOZNAM!Q116=\"\",\"\",ZOZNAM!Q116),\"\")","v":""},{"$f":"IF($A125<>\"\",IF(ZOZNAM!R116=\"\",\"\",ZOZNAM!R116),\"\")","v":""},{"$f":"IF($A125<>\"\",IF(ZOZNAM!S116=\"\",\"\",ZOZNAM!S116),\"\")","v":""},{"$f":"IF($A125<>\"\",IF(ZOZNAM!T116=\"\",\"\",ZOZNAM!T116),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C119)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C119)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C119)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C119)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C119)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C119)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L119)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L119)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L119)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L119)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L119)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L119)),FALSE))),ZOZNAM!G119>=$C$9),ZOZNAM!A119,\"\")","v":"EC194"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!B119=\"\",\"\",ZOZNAM!B119),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!C119=\"\",\"\",ZOZNAM!C119),\"\")","v":"Introduction to Inferential Statistics: What you need to know before you take regression"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!D119=\"\",\"\",ZOZNAM!D119),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!E119=\"\",\"\",ZOZNAM!E119),\"\")","v":5},{"$f":"IF($A128<>\"\",IF(ZOZNAM!F119=\"\",\"\",ZOZNAM!F119),\"\")","v":6},{"$f":"IF($A128<>\"\",IF(ZOZNAM!G119=\"\",\"\",ZOZNAM!G119),\"\")","v":"2019-07-29"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!H119=\"\",\"\",ZOZNAM!H119),\"\")","v":"2019-08-03"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!I119=\"\",\"\",ZOZNAM!I119),\"\")","v":"895 EUR"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!J119=\"\",\"\",ZOZNAM!J119),\"\")","v":"2019-05-29"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!K119=\"\",\"\",ZOZNAM!K119),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8421&EventID=131"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!L119=\"\",\"\",ZOZNAM!L119),\"\")","v":"On this course, participants will learn the basics of statistical inference and the most commonly used statistical techniques in political science research for differentiating between groups or to see if there is a difference between two variables.\n\nThe course is designed to give you an in-depth understanding of how these statistical techniques work while minimising the mathematical burden on you.\n\nThe course provides the foundation for multiple regression and is a must for anyone wanting to take that course as long as you are not familiar or comfortable with the topics listed in this outline."},{"$f":"IF($A128<>\"\",IF(ZOZNAM!M119=\"\",\"\",ZOZNAM!M119),\"\")","v":""},{"$f":"IF($A128<>\"\",IF(ZOZNAM!N119=\"\",\"\",ZOZNAM!N119),\"\")","v":"nie"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!O119=\"\",\"\",ZOZNAM!O119),\"\")","v":"nie"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!P119=\"\",\"\",ZOZNAM!P119),\"\")","v":1.8},{"$f":"IF($A128<>\"\",IF(ZOZNAM!Q119=\"\",\"\",ZOZNAM!Q119),\"\")","v":1},{"$f":"IF($A128<>\"\",IF(ZOZNAM!R119=\"\",\"\",ZOZNAM!R119),\"\")","v":2},{"$f":"IF($A128<>\"\",IF(ZOZNAM!S119=\"\",\"\",ZOZNAM!S119),\"\")","v":"Začiatočníkom"},{"$f":"IF($A128<>\"\",IF(ZOZNAM!T119=\"\",\"\",ZOZNAM!T119),\"\")","v":"Kurz vhodný pre analytikov začínajúcich v dátovej analýze, prípadne zopakovanie si základov štatistiky. Prednášajúci boli dobrí pedagógovia, aj odborníci. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C120)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C120)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C120)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C120)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C120)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C120)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L120)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L120)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L120)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L120)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L120)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L120)),FALSE))),ZOZNAM!G120>=$C$9),ZOZNAM!A120,\"\")","v":"EC195"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!B120=\"\",\"\",ZOZNAM!B120),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!C120=\"\",\"\",ZOZNAM!C120),\"\")","v":"Multivariate Statistical Techniques for Comparing Countries"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!D120=\"\",\"\",ZOZNAM!D120),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!E120=\"\",\"\",ZOZNAM!E120),\"\")","v":5},{"$f":"IF($A129<>\"\",IF(ZOZNAM!F120=\"\",\"\",ZOZNAM!F120),\"\")","v":5},{"$f":"IF($A129<>\"\",IF(ZOZNAM!G120=\"\",\"\",ZOZNAM!G120),\"\")","v":"2019-07-29"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!H120=\"\",\"\",ZOZNAM!H120),\"\")","v":"2019-08-02"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!I120=\"\",\"\",ZOZNAM!I120),\"\")","v":"895 EUR"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!J120=\"\",\"\",ZOZNAM!J120),\"\")","v":"2019-05-29"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!K120=\"\",\"\",ZOZNAM!K120),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8417&EventID=131"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!L120=\"\",\"\",ZOZNAM!L120),\"\")","v":"This course proposes an overview and practical experience of the major theoretical and practical issues that are faced by the statistical analysis of cross-national comparative survey analysis. It combines the learning of fundamental points about the statistical techniques used to analyse such surveys and the learning of the practical problems encountered when using them. \n\nThe course proposes a panorama of the most used techniques such as linear regression analysis (and ANCOVA), logistic regression, loglinear models, factor analysis and correspondence analysis. "},{"$f":"IF($A129<>\"\",IF(ZOZNAM!M120=\"\",\"\",ZOZNAM!M120),\"\")","v":""},{"$f":"IF($A129<>\"\",IF(ZOZNAM!N120=\"\",\"\",ZOZNAM!N120),\"\")","v":"nie"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!O120=\"\",\"\",ZOZNAM!O120),\"\")","v":"nie"},{"$f":"IF($A129<>\"\",IF(ZOZNAM!P120=\"\",\"\",ZOZNAM!P120),\"\")","v":1.8},{"$f":"IF($A129<>\"\",IF(ZOZNAM!Q120=\"\",\"\",ZOZNAM!Q120),\"\")","v":""},{"$f":"IF($A129<>\"\",IF(ZOZNAM!R120=\"\",\"\",ZOZNAM!R120),\"\")","v":""},{"$f":"IF($A129<>\"\",IF(ZOZNAM!S120=\"\",\"\",ZOZNAM!S120),\"\")","v":""},{"$f":"IF($A129<>\"\",IF(ZOZNAM!T120=\"\",\"\",ZOZNAM!T120),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C126)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C126)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C126)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C126)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C126)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C126)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L126)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L126)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L126)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L126)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L126)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L126)),FALSE))),ZOZNAM!G126>=$C$9),ZOZNAM!A126,\"\")","v":"EC199"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!B126=\"\",\"\",ZOZNAM!B126),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!C126=\"\",\"\",ZOZNAM!C126),\"\")","v":"Longitudinal Research Designs - Qualitative Approaches"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!D126=\"\",\"\",ZOZNAM!D126),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!E126=\"\",\"\",ZOZNAM!E126),\"\")","v":5},{"$f":"IF($A135<>\"\",IF(ZOZNAM!F126=\"\",\"\",ZOZNAM!F126),\"\")","v":5},{"$f":"IF($A135<>\"\",IF(ZOZNAM!G126=\"\",\"\",ZOZNAM!G126),\"\")","v":"2019-08-05"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!H126=\"\",\"\",ZOZNAM!H126),\"\")","v":"2019-08-09"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!I126=\"\",\"\",ZOZNAM!I126),\"\")","v":"895 EUR"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!J126=\"\",\"\",ZOZNAM!J126),\"\")","v":"2019-05-29"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!K126=\"\",\"\",ZOZNAM!K126),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8409&EventID=131"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!L126=\"\",\"\",ZOZNAM!L126),\"\")","v":"The course introduces the method of longitudinal case study analysis (LCA) as a hybrid of:\n\nprocess-tracing\nperiodised within-case research design, and\nhistorical comparative analysis (HCA).\n\nThis course shows how to combine different techniques for hypothesis testing by slicing and dicing empirics within a single case study over time and, as a second step, extending these comparisons to one or more similar case studies across space. The purpose is to guide students through the process of fitting an appropriately tailored longitudinal case study design to their research question, formulate a plan for testing their hypotheses using within- and cross-case variation in their study variables, develop a plan for approaching, collecting and analysing data in the field, and prepare to write up their results in a convincing narrative style."},{"$f":"IF($A135<>\"\",IF(ZOZNAM!M126=\"\",\"\",ZOZNAM!M126),\"\")","v":""},{"$f":"IF($A135<>\"\",IF(ZOZNAM!N126=\"\",\"\",ZOZNAM!N126),\"\")","v":"nie"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!O126=\"\",\"\",ZOZNAM!O126),\"\")","v":"nie"},{"$f":"IF($A135<>\"\",IF(ZOZNAM!P126=\"\",\"\",ZOZNAM!P126),\"\")","v":1.8},{"$f":"IF($A135<>\"\",IF(ZOZNAM!Q126=\"\",\"\",ZOZNAM!Q126),\"\")","v":""},{"$f":"IF($A135<>\"\",IF(ZOZNAM!R126=\"\",\"\",ZOZNAM!R126),\"\")","v":""},{"$f":"IF($A135<>\"\",IF(ZOZNAM!S126=\"\",\"\",ZOZNAM!S126),\"\")","v":""},{"$f":"IF($A135<>\"\",IF(ZOZNAM!T126=\"\",\"\",ZOZNAM!T126),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C127)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C127)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C127)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C127)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C127)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C127)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L127)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L127)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L127)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L127)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L127)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L127)),FALSE))),ZOZNAM!G127>=$C$9),ZOZNAM!A127,\"\")","v":"EC200"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!B127=\"\",\"\",ZOZNAM!B127),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!C127=\"\",\"\",ZOZNAM!C127),\"\")","v":"Multiple Regression Analysis: Estimation, Diagnostics, and Modelling"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!D127=\"\",\"\",ZOZNAM!D127),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!E127=\"\",\"\",ZOZNAM!E127),\"\")","v":5},{"$f":"IF($A136<>\"\",IF(ZOZNAM!F127=\"\",\"\",ZOZNAM!F127),\"\")","v":5},{"$f":"IF($A136<>\"\",IF(ZOZNAM!G127=\"\",\"\",ZOZNAM!G127),\"\")","v":"2019-08-05"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!H127=\"\",\"\",ZOZNAM!H127),\"\")","v":"2019-08-09"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!I127=\"\",\"\",ZOZNAM!I127),\"\")","v":"895 EUR"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!J127=\"\",\"\",ZOZNAM!J127),\"\")","v":"2019-05-29"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!K127=\"\",\"\",ZOZNAM!K127),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8410&EventID=131"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!L127=\"\",\"\",ZOZNAM!L127),\"\")","v":"This short course is an introduction to regression analysis.\n\nParticipants will learn the classical theory of Ordinary Least Squares (OLS) regression and we will introduce applied methods in regression analysis using the statistical software package Stata.\n\nAfter introducing simple linear regression, the course considers multiple linear regression and concludes with non-linear regression techniques. "},{"$f":"IF($A136<>\"\",IF(ZOZNAM!M127=\"\",\"\",ZOZNAM!M127),\"\")","v":""},{"$f":"IF($A136<>\"\",IF(ZOZNAM!N127=\"\",\"\",ZOZNAM!N127),\"\")","v":"nie"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!O127=\"\",\"\",ZOZNAM!O127),\"\")","v":"nie"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!P127=\"\",\"\",ZOZNAM!P127),\"\")","v":1.8},{"$f":"IF($A136<>\"\",IF(ZOZNAM!Q127=\"\",\"\",ZOZNAM!Q127),\"\")","v":1},{"$f":"IF($A136<>\"\",IF(ZOZNAM!R127=\"\",\"\",ZOZNAM!R127),\"\")","v":1},{"$f":"IF($A136<>\"\",IF(ZOZNAM!S127=\"\",\"\",ZOZNAM!S127),\"\")","v":"Pokročilým"},{"$f":"IF($A136<>\"\",IF(ZOZNAM!T127=\"\",\"\",ZOZNAM!T127),\"\")","v":"Kurz je vhodný najmä pre analytikov, ktorí pracujú s množstom dát a vykonávajú regresnú analýzu. Vysoká odbornosť a kvalitná teoretická stránka sú výhodou. Menej praktických úloh v programe STATA, ktoré sú však kompenzované domácimi úlohami. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C128)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C128)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C128)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C128)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C128)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C128)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L128)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L128)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L128)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L128)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L128)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L128)),FALSE))),ZOZNAM!G128>=$C$9),ZOZNAM!A128,\"\")","v":"EC201"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!B128=\"\",\"\",ZOZNAM!B128),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!C128=\"\",\"\",ZOZNAM!C128),\"\")","v":"Multivariate Statistical Techniques for Comparing Countries"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!D128=\"\",\"\",ZOZNAM!D128),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!E128=\"\",\"\",ZOZNAM!E128),\"\")","v":5},{"$f":"IF($A137<>\"\",IF(ZOZNAM!F128=\"\",\"\",ZOZNAM!F128),\"\")","v":5},{"$f":"IF($A137<>\"\",IF(ZOZNAM!G128=\"\",\"\",ZOZNAM!G128),\"\")","v":"2019-08-05"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!H128=\"\",\"\",ZOZNAM!H128),\"\")","v":"2019-08-09"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!I128=\"\",\"\",ZOZNAM!I128),\"\")","v":"895 EUR"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!J128=\"\",\"\",ZOZNAM!J128),\"\")","v":"2019-05-29"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!K128=\"\",\"\",ZOZNAM!K128),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8410&EventID=131"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!L128=\"\",\"\",ZOZNAM!L128),\"\")","v":"This short course is an introduction to regression analysis.\n\nParticipants will learn the classical theory of Ordinary Least Squares (OLS) regression and course will introduce applied methods in regression analysis using the statistical software package Stata.\n\nAfter introducing simple linear regression, the course considers multiple linear regression and concludes with non-linear regression techniques. "},{"$f":"IF($A137<>\"\",IF(ZOZNAM!M128=\"\",\"\",ZOZNAM!M128),\"\")","v":""},{"$f":"IF($A137<>\"\",IF(ZOZNAM!N128=\"\",\"\",ZOZNAM!N128),\"\")","v":"nie"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!O128=\"\",\"\",ZOZNAM!O128),\"\")","v":"nie"},{"$f":"IF($A137<>\"\",IF(ZOZNAM!P128=\"\",\"\",ZOZNAM!P128),\"\")","v":1.8},{"$f":"IF($A137<>\"\",IF(ZOZNAM!Q128=\"\",\"\",ZOZNAM!Q128),\"\")","v":""},{"$f":"IF($A137<>\"\",IF(ZOZNAM!R128=\"\",\"\",ZOZNAM!R128),\"\")","v":""},{"$f":"IF($A137<>\"\",IF(ZOZNAM!S128=\"\",\"\",ZOZNAM!S128),\"\")","v":""},{"$f":"IF($A137<>\"\",IF(ZOZNAM!T128=\"\",\"\",ZOZNAM!T128),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C129)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C129)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C129)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C129)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C129)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C129)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L129)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L129)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L129)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L129)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L129)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L129)),FALSE))),ZOZNAM!G129>=$C$9),ZOZNAM!A129,\"\")","v":"EC202"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!B129=\"\",\"\",ZOZNAM!B129),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!C129=\"\",\"\",ZOZNAM!C129),\"\")","v":"Quantitative Text Analysis"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!D129=\"\",\"\",ZOZNAM!D129),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!E129=\"\",\"\",ZOZNAM!E129),\"\")","v":5},{"$f":"IF($A138<>\"\",IF(ZOZNAM!F129=\"\",\"\",ZOZNAM!F129),\"\")","v":5},{"$f":"IF($A138<>\"\",IF(ZOZNAM!G129=\"\",\"\",ZOZNAM!G129),\"\")","v":"2019-08-05"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!H129=\"\",\"\",ZOZNAM!H129),\"\")","v":"2019-08-09"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!I129=\"\",\"\",ZOZNAM!I129),\"\")","v":"895 EUR"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!J129=\"\",\"\",ZOZNAM!J129),\"\")","v":"2019-05-29"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!K129=\"\",\"\",ZOZNAM!K129),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8438&EventID=131"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!L129=\"\",\"\",ZOZNAM!L129),\"\")","v":"This applied course will provide you with advanced techniques of quantitative text analysis methods that allow you to systematically extract information from political texts. The course offeres a quick review of Dictionary based approaches to Scaling, Topic coding, and Sentiment Analysis, but quickly moves to more sophisticated techniques for the quantitative analysis of texts. The course will point out the differences between supervised and unsupervised mechanisms of text analysis and will –to the extent to which the setting allows- delve somewhat on the mathematical and statistical background of some of these techniques. This course will look into how to incorporate the outcome of applying QTA to a Corpus for interpretation and to be used in further statistical analysis. "},{"$f":"IF($A138<>\"\",IF(ZOZNAM!M129=\"\",\"\",ZOZNAM!M129),\"\")","v":""},{"$f":"IF($A138<>\"\",IF(ZOZNAM!N129=\"\",\"\",ZOZNAM!N129),\"\")","v":"nie"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!O129=\"\",\"\",ZOZNAM!O129),\"\")","v":"nie"},{"$f":"IF($A138<>\"\",IF(ZOZNAM!P129=\"\",\"\",ZOZNAM!P129),\"\")","v":1.8},{"$f":"IF($A138<>\"\",IF(ZOZNAM!Q129=\"\",\"\",ZOZNAM!Q129),\"\")","v":""},{"$f":"IF($A138<>\"\",IF(ZOZNAM!R129=\"\",\"\",ZOZNAM!R129),\"\")","v":""},{"$f":"IF($A138<>\"\",IF(ZOZNAM!S129=\"\",\"\",ZOZNAM!S129),\"\")","v":""},{"$f":"IF($A138<>\"\",IF(ZOZNAM!T129=\"\",\"\",ZOZNAM!T129),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C130)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C130)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C130)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C130)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C130)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C130)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L130)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L130)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L130)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L130)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L130)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L130)),FALSE))),ZOZNAM!G130>=$C$9),ZOZNAM!A130,\"\")","v":"EU188"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!B130=\"\",\"\",ZOZNAM!B130),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!C130=\"\",\"\",ZOZNAM!C130),\"\")","v":"Cost-Benefit Analysis (CBA) of EU-Financed Projects and its Future: Advanced Course"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!D130=\"\",\"\",ZOZNAM!D130),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!E130=\"\",\"\",ZOZNAM!E130),\"\")","v":3},{"$f":"IF($A139<>\"\",IF(ZOZNAM!F130=\"\",\"\",ZOZNAM!F130),\"\")","v":3},{"$f":"IF($A139<>\"\",IF(ZOZNAM!G130=\"\",\"\",ZOZNAM!G130),\"\")","v":"2019-03-25"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!H130=\"\",\"\",ZOZNAM!H130),\"\")","v":"2019-03-27"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!I130=\"\",\"\",ZOZNAM!I130),\"\")","v":"1 325 EUR"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!J130=\"\",\"\",ZOZNAM!J130),\"\")","v":"2019-03-13"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!K130=\"\",\"\",ZOZNAM!K130),\"\")","v":"https://www.eipa.eu/product/cost-benefit-analysis-eu-financed-projects/"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!L130=\"\",\"\",ZOZNAM!L130),\"\")","v":"This three-day, highly practical course, will cover all essential aspects of the Cost Benefit Analysis (CBA) of 2014-2020, in line with the European Commission Guide on CBA, published in December 2014 and its future in the next programming period 2021 – 2027.\n\nIt explains why CBA is one of the most important tools in the programming period of 2014-2020, not only for beneficiaries of EU funds, but also for national and regional administrations in their decision-making process regarding investment projects. It also shows how the European Court of Auditors audits CBA."},{"$f":"IF($A139<>\"\",IF(ZOZNAM!M130=\"\",\"\",ZOZNAM!M130),\"\")","v":""},{"$f":"IF($A139<>\"\",IF(ZOZNAM!N130=\"\",\"\",ZOZNAM!N130),\"\")","v":"nie"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!O130=\"\",\"\",ZOZNAM!O130),\"\")","v":"nie"},{"$f":"IF($A139<>\"\",IF(ZOZNAM!P130=\"\",\"\",ZOZNAM!P130),\"\")","v":2},{"$f":"IF($A139<>\"\",IF(ZOZNAM!Q130=\"\",\"\",ZOZNAM!Q130),\"\")","v":""},{"$f":"IF($A139<>\"\",IF(ZOZNAM!R130=\"\",\"\",ZOZNAM!R130),\"\")","v":""},{"$f":"IF($A139<>\"\",IF(ZOZNAM!S130=\"\",\"\",ZOZNAM!S130),\"\")","v":""},{"$f":"IF($A139<>\"\",IF(ZOZNAM!T130=\"\",\"\",ZOZNAM!T130),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C131)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C131)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C131)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C131)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C131)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C131)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L131)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L131)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L131)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L131)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L131)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L131)),FALSE))),ZOZNAM!G131>=$C$9),ZOZNAM!A131,\"\")","v":"EU189"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!B131=\"\",\"\",ZOZNAM!B131),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!C131=\"\",\"\",ZOZNAM!C131),\"\")","v":"Cost-Benefit Analysis (CBA) of EU-Financed Projects and its Future: Advanced Course"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!D131=\"\",\"\",ZOZNAM!D131),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!E131=\"\",\"\",ZOZNAM!E131),\"\")","v":2},{"$f":"IF($A140<>\"\",IF(ZOZNAM!F131=\"\",\"\",ZOZNAM!F131),\"\")","v":2},{"$f":"IF($A140<>\"\",IF(ZOZNAM!G131=\"\",\"\",ZOZNAM!G131),\"\")","v":"2019-03-28"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!H131=\"\",\"\",ZOZNAM!H131),\"\")","v":"2019-03-29"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!I131=\"\",\"\",ZOZNAM!I131),\"\")","v":"1 000 EUR"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!J131=\"\",\"\",ZOZNAM!J131),\"\")","v":"2019-03-13"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!K131=\"\",\"\",ZOZNAM!K131),\"\")","v":"https://www.eipa.eu/product/cost-benefit-analysis-eu-financed-projects-advanced/"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!L131=\"\",\"\",ZOZNAM!L131),\"\")","v":"This course explains in a very detailed and practical way how to successfully perform each element of a CBA. This includes the financial, economic, sensitivity and risk analysis of projects eligible under EU Funds in different sectors. It lays special emphasis on typical benefits and the techniques used most frequently to evaluate them in the programming period of 2014-2020. It will also include the foreseen changes for the 2021 – 2027 perspective.\n\nDuring the course students will take part in workshops that will allow them to practice how to review the quality of CBAs and how to report their results. They will also learn how to adjust the project to improve the quality of the CBA and make it desirable for the EU co-financing."},{"$f":"IF($A140<>\"\",IF(ZOZNAM!M131=\"\",\"\",ZOZNAM!M131),\"\")","v":""},{"$f":"IF($A140<>\"\",IF(ZOZNAM!N131=\"\",\"\",ZOZNAM!N131),\"\")","v":"nie"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!O131=\"\",\"\",ZOZNAM!O131),\"\")","v":"nie"},{"$f":"IF($A140<>\"\",IF(ZOZNAM!P131=\"\",\"\",ZOZNAM!P131),\"\")","v":2},{"$f":"IF($A140<>\"\",IF(ZOZNAM!Q131=\"\",\"\",ZOZNAM!Q131),\"\")","v":""},{"$f":"IF($A140<>\"\",IF(ZOZNAM!R131=\"\",\"\",ZOZNAM!R131),\"\")","v":""},{"$f":"IF($A140<>\"\",IF(ZOZNAM!S131=\"\",\"\",ZOZNAM!S131),\"\")","v":""},{"$f":"IF($A140<>\"\",IF(ZOZNAM!T131=\"\",\"\",ZOZNAM!T131),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C132)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C132)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C132)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C132)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C132)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C132)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L132)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L132)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L132)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L132)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L132)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L132)),FALSE))),ZOZNAM!G132>=$C$9),ZOZNAM!A132,\"\")","v":"EO001"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!B132=\"\",\"\",ZOZNAM!B132),\"\")","v":"European Observatory on Health Systems and Policies"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!C132=\"\",\"\",ZOZNAM!C132),\"\")","v":"Observatory Venice Summer School 2019"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!D132=\"\",\"\",ZOZNAM!D132),\"\")","v":"San Servolo, Taliansko"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!E132=\"\",\"\",ZOZNAM!E132),\"\")","v":5},{"$f":"IF($A141<>\"\",IF(ZOZNAM!F132=\"\",\"\",ZOZNAM!F132),\"\")","v":7},{"$f":"IF($A141<>\"\",IF(ZOZNAM!G132=\"\",\"\",ZOZNAM!G132),\"\")","v":"2019-07-21"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!H132=\"\",\"\",ZOZNAM!H132),\"\")","v":"2019-07-27"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!I132=\"\",\"\",ZOZNAM!I132),\"\")","v":"2 260 EUR"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!J132=\"\",\"\",ZOZNAM!J132),\"\")","v":"2019-05-31"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!K132=\"\",\"\",ZOZNAM!K132),\"\")","v":"https://theobservatorysummerschool.org/"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!L132=\"\",\"\",ZOZNAM!L132),\"\")","v":"This summer School is a short, intensive course icluding learning, interacting, studying, debating, and sharing experiences with other policy-makers, planners and professionals to understand, discuss and improve health workforce strategies and policies.\n\nObjectives of this course are:\n\nUnderstanding definitions of skill-mix innovation and analysing skill-mix trends, drivers and outcomes in countries.\nReviewing policy and other governance approaches for creating and implementing skill-mix innovation (e.g. regulation, education, payment policies).\nAssessing skill-mix innovation for integrated care (including the hospital interface).\nPreparing for future challenges and trends."},{"$f":"IF($A141<>\"\",IF(ZOZNAM!M132=\"\",\"\",ZOZNAM!M132),\"\")","v":""},{"$f":"IF($A141<>\"\",IF(ZOZNAM!N132=\"\",\"\",ZOZNAM!N132),\"\")","v":"áno"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!O132=\"\",\"\",ZOZNAM!O132),\"\")","v":"nie"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!P132=\"\",\"\",ZOZNAM!P132),\"\")","v":""},{"$f":"IF($A141<>\"\",IF(ZOZNAM!Q132=\"\",\"\",ZOZNAM!Q132),\"\")","v":2},{"$f":"IF($A141<>\"\",IF(ZOZNAM!R132=\"\",\"\",ZOZNAM!R132),\"\")","v":1},{"$f":"IF($A141<>\"\",IF(ZOZNAM!S132=\"\",\"\",ZOZNAM!S132),\"\")","v":"Profesionálom"},{"$f":"IF($A141<>\"\",IF(ZOZNAM!T132=\"\",\"\",ZOZNAM!T132),\"\")","v":"Prevažovala teória nad praxou, čo bola jediná nevýhoda kurzu. Veľmi kvalitná letná škola s odborníkmi-pedagógmi, študijnými materiálmi a s hladkým priebehom."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C133)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C133)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C133)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C133)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C133)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C133)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L133)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L133)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L133)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L133)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L133)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L133)),FALSE))),ZOZNAM!G133>=$C$9),ZOZNAM!A133,\"\")","v":"ES002"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!B133=\"\",\"\",ZOZNAM!B133),\"\")","v":"Eurostat"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!C133=\"\",\"\",ZOZNAM!C133),\"\")","v":"Energy Statistics"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!D133=\"\",\"\",ZOZNAM!D133),\"\")","v":"Luxembrug, Luxembursko"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!E133=\"\",\"\",ZOZNAM!E133),\"\")","v":3},{"$f":"IF($A142<>\"\",IF(ZOZNAM!F133=\"\",\"\",ZOZNAM!F133),\"\")","v":3},{"$f":"IF($A142<>\"\",IF(ZOZNAM!G133=\"\",\"\",ZOZNAM!G133),\"\")","v":"2019-06-18"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!H133=\"\",\"\",ZOZNAM!H133),\"\")","v":"2019-06-20"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!I133=\"\",\"\",ZOZNAM!I133),\"\")","v":"0 EUR"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!J133=\"\",\"\",ZOZNAM!J133),\"\")","v":"2019-04-23"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!K133=\"\",\"\",ZOZNAM!K133),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!L133=\"\",\"\",ZOZNAM!L133),\"\")","v":"The course will introduce the theoretical and practical knowledge, as\nwell as the methodological guidelines for the use of the Energy Balance.\nThe main focus will be on methodology, concepts and definitions, calculations and discussions on these tools. Practical examples of the use of these tools will be also covered during the training.\n\nParticipants will gain understanding of the conceptual framework,\nmethodological choices and functioning of the energy balance\nbuilder and the SHARES tools, as well as the applied validation\nrules (coherence, consistency and plausibility checks). \nFurthermore, they will have the\npossibility to understand how to use the various IT aspects of these\ntools for their own special needs and purposes."},{"$f":"IF($A142<>\"\",IF(ZOZNAM!M133=\"\",\"\",ZOZNAM!M133),\"\")","v":""},{"$f":"IF($A142<>\"\",IF(ZOZNAM!N133=\"\",\"\",ZOZNAM!N133),\"\")","v":"nie"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!O133=\"\",\"\",ZOZNAM!O133),\"\")","v":"nie"},{"$f":"IF($A142<>\"\",IF(ZOZNAM!P133=\"\",\"\",ZOZNAM!P133),\"\")","v":""},{"$f":"IF($A142<>\"\",IF(ZOZNAM!Q133=\"\",\"\",ZOZNAM!Q133),\"\")","v":""},{"$f":"IF($A142<>\"\",IF(ZOZNAM!R133=\"\",\"\",ZOZNAM!R133),\"\")","v":""},{"$f":"IF($A142<>\"\",IF(ZOZNAM!S133=\"\",\"\",ZOZNAM!S133),\"\")","v":""},{"$f":"IF($A142<>\"\",IF(ZOZNAM!T133=\"\",\"\",ZOZNAM!T133),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C134)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C134)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C134)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C134)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C134)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C134)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L134)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L134)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L134)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L134)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L134)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L134)),FALSE))),ZOZNAM!G134>=$C$9),ZOZNAM!A134,\"\")","v":"ES001"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!B134=\"\",\"\",ZOZNAM!B134),\"\")","v":"Eurostat"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!C134=\"\",\"\",ZOZNAM!C134),\"\")","v":"Machine Learning Econometrics"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!D134=\"\",\"\",ZOZNAM!D134),\"\")","v":"Valencia, Španielsko"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!E134=\"\",\"\",ZOZNAM!E134),\"\")","v":3},{"$f":"IF($A143<>\"\",IF(ZOZNAM!F134=\"\",\"\",ZOZNAM!F134),\"\")","v":3},{"$f":"IF($A143<>\"\",IF(ZOZNAM!G134=\"\",\"\",ZOZNAM!G134),\"\")","v":"2019-06-25"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!H134=\"\",\"\",ZOZNAM!H134),\"\")","v":"2019-06-27"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!I134=\"\",\"\",ZOZNAM!I134),\"\")","v":"0 EUR"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!J134=\"\",\"\",ZOZNAM!J134),\"\")","v":"2019-04-30"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!K134=\"\",\"\",ZOZNAM!K134),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!L134=\"\",\"\",ZOZNAM!L134),\"\")","v":"The objective of the course is to present and demonstrate\ninnovative algorithm-based techniques for data analysis, with\napplication to datasets from official statistics as well as from other\nsources (Big Data, natural language textual data).\n\nThe topics included:\nReview of classical econometrics. \nEconometric methods in\nOfficial Statistics: examples of use\n Methodological overview: model-based vs algorithm-based\ninference\n Machine-learning and computational issues: validation (training\nvs test data, cross-validation), model overfitting, replication\n(bootstrap, bagging, model averaging)\n Machine-learning linear estimation: regularization of linear\nmodels (lasso, ridge regression)\n Machine-learning non-linear estimation methods (trees, forests,\nSupport Vector Machines, neural nets)\n Econometric analysis with natural language textual data\n Manipulation of big data: SQL and NoSQL databases\n Practice with R\n"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!M134=\"\",\"\",ZOZNAM!M134),\"\")","v":""},{"$f":"IF($A143<>\"\",IF(ZOZNAM!N134=\"\",\"\",ZOZNAM!N134),\"\")","v":"nie"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!O134=\"\",\"\",ZOZNAM!O134),\"\")","v":"nie"},{"$f":"IF($A143<>\"\",IF(ZOZNAM!P134=\"\",\"\",ZOZNAM!P134),\"\")","v":""},{"$f":"IF($A143<>\"\",IF(ZOZNAM!Q134=\"\",\"\",ZOZNAM!Q134),\"\")","v":""},{"$f":"IF($A143<>\"\",IF(ZOZNAM!R134=\"\",\"\",ZOZNAM!R134),\"\")","v":""},{"$f":"IF($A143<>\"\",IF(ZOZNAM!S134=\"\",\"\",ZOZNAM!S134),\"\")","v":""},{"$f":"IF($A143<>\"\",IF(ZOZNAM!T134=\"\",\"\",ZOZNAM!T134),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C135)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C135)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C135)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C135)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C135)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C135)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L135)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L135)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L135)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L135)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L135)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L135)),FALSE))),ZOZNAM!G135>=$C$9),ZOZNAM!A135,\"\")","v":"ES003"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!B135=\"\",\"\",ZOZNAM!B135),\"\")","v":"Eurostat"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!C135=\"\",\"\",ZOZNAM!C135),\"\")","v":"Government Finance Statistics and Excessive\nDeficit Procedure Part I"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!D135=\"\",\"\",ZOZNAM!D135),\"\")","v":"Luxembrug, Luxembursko"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!E135=\"\",\"\",ZOZNAM!E135),\"\")","v":4},{"$f":"IF($A144<>\"\",IF(ZOZNAM!F135=\"\",\"\",ZOZNAM!F135),\"\")","v":5},{"$f":"IF($A144<>\"\",IF(ZOZNAM!G135=\"\",\"\",ZOZNAM!G135),\"\")","v":"2019-07-01"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!H135=\"\",\"\",ZOZNAM!H135),\"\")","v":"2019-07-05"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!I135=\"\",\"\",ZOZNAM!I135),\"\")","v":"0 EUR"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!J135=\"\",\"\",ZOZNAM!J135),\"\")","v":"2019-05-06"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!K135=\"\",\"\",ZOZNAM!K135),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!L135=\"\",\"\",ZOZNAM!L135),\"\")","v":"The aim of this course is to improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics;\nto examine the theoretical basis and structure of the European\nSystem of Accounts (ESA 2010) based GFS and EDP-data.\nCourse includes:\n Basic concepts of ESA 2010, tailored toward GFS and EDP;\n Delimitation of general government;\n Transactions/stocks relevant for government;\n Definition EDP-concepts, EDP-tables and the Questionnaire."},{"$f":"IF($A144<>\"\",IF(ZOZNAM!M135=\"\",\"\",ZOZNAM!M135),\"\")","v":""},{"$f":"IF($A144<>\"\",IF(ZOZNAM!N135=\"\",\"\",ZOZNAM!N135),\"\")","v":"nie"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!O135=\"\",\"\",ZOZNAM!O135),\"\")","v":"nie"},{"$f":"IF($A144<>\"\",IF(ZOZNAM!P135=\"\",\"\",ZOZNAM!P135),\"\")","v":""},{"$f":"IF($A144<>\"\",IF(ZOZNAM!Q135=\"\",\"\",ZOZNAM!Q135),\"\")","v":""},{"$f":"IF($A144<>\"\",IF(ZOZNAM!R135=\"\",\"\",ZOZNAM!R135),\"\")","v":""},{"$f":"IF($A144<>\"\",IF(ZOZNAM!S135=\"\",\"\",ZOZNAM!S135),\"\")","v":""},{"$f":"IF($A144<>\"\",IF(ZOZNAM!T135=\"\",\"\",ZOZNAM!T135),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C136)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C136)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C136)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C136)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C136)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C136)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L136)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L136)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L136)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L136)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L136)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L136)),FALSE))),ZOZNAM!G136>=$C$9),ZOZNAM!A136,\"\")","v":"ES004"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!B136=\"\",\"\",ZOZNAM!B136),\"\")","v":"Eurostat"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!C136=\"\",\"\",ZOZNAM!C136),\"\")","v":"Advanced JDEMETRA+ with R"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!D136=\"\",\"\",ZOZNAM!D136),\"\")","v":"Luxembrug, Luxembursko"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!E136=\"\",\"\",ZOZNAM!E136),\"\")","v":3},{"$f":"IF($A145<>\"\",IF(ZOZNAM!F136=\"\",\"\",ZOZNAM!F136),\"\")","v":3},{"$f":"IF($A145<>\"\",IF(ZOZNAM!G136=\"\",\"\",ZOZNAM!G136),\"\")","v":"2019-09-10"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!H136=\"\",\"\",ZOZNAM!H136),\"\")","v":"2019-09-12"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!I136=\"\",\"\",ZOZNAM!I136),\"\")","v":"0 EUR"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!J136=\"\",\"\",ZOZNAM!J136),\"\")","v":"2019-07-05"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!K136=\"\",\"\",ZOZNAM!K136),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!L136=\"\",\"\",ZOZNAM!L136),\"\")","v":"The aim of this course is to provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; to train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of\nrevisions. Next, course will prepare and motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending (new plug-ins) the tool."},{"$f":"IF($A145<>\"\",IF(ZOZNAM!M136=\"\",\"\",ZOZNAM!M136),\"\")","v":""},{"$f":"IF($A145<>\"\",IF(ZOZNAM!N136=\"\",\"\",ZOZNAM!N136),\"\")","v":"nie"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!O136=\"\",\"\",ZOZNAM!O136),\"\")","v":"nie"},{"$f":"IF($A145<>\"\",IF(ZOZNAM!P136=\"\",\"\",ZOZNAM!P136),\"\")","v":""},{"$f":"IF($A145<>\"\",IF(ZOZNAM!Q136=\"\",\"\",ZOZNAM!Q136),\"\")","v":""},{"$f":"IF($A145<>\"\",IF(ZOZNAM!R136=\"\",\"\",ZOZNAM!R136),\"\")","v":""},{"$f":"IF($A145<>\"\",IF(ZOZNAM!S136=\"\",\"\",ZOZNAM!S136),\"\")","v":""},{"$f":"IF($A145<>\"\",IF(ZOZNAM!T136=\"\",\"\",ZOZNAM!T136),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C137)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C137)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C137)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C137)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C137)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C137)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L137)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L137)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L137)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L137)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L137)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L137)),FALSE))),ZOZNAM!G137>=$C$9),ZOZNAM!A137,\"\")","v":"ES007"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!B137=\"\",\"\",ZOZNAM!B137),\"\")","v":"Eurostat"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!C137=\"\",\"\",ZOZNAM!C137),\"\")","v":"Government Finance Statistics and Excessive\nDeficit Procedure Part II"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!D137=\"\",\"\",ZOZNAM!D137),\"\")","v":"Luxembrug, Luxembursko"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!E137=\"\",\"\",ZOZNAM!E137),\"\")","v":5},{"$f":"IF($A146<>\"\",IF(ZOZNAM!F137=\"\",\"\",ZOZNAM!F137),\"\")","v":5},{"$f":"IF($A146<>\"\",IF(ZOZNAM!G137=\"\",\"\",ZOZNAM!G137),\"\")","v":"2019-11-25"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!H137=\"\",\"\",ZOZNAM!H137),\"\")","v":"2019-11-29"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!I137=\"\",\"\",ZOZNAM!I137),\"\")","v":"0 EUR"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!J137=\"\",\"\",ZOZNAM!J137),\"\")","v":"2019-05-06"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!K137=\"\",\"\",ZOZNAM!K137),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!L137=\"\",\"\",ZOZNAM!L137),\"\")","v":"The outcome of this course will be improved knowledge of ESA 2010, GFS and EDP-concepts; basis for\ncompilation of EDP tables and questionnaires relating to the EDP\nnotification tables.\nThe aim of course is: \n To examine the theoretical basis and structure of the European\nSystem of Accounts (ESA 2010) based GFS and EDP-data.\nCONTENTS  Basic concepts of ESA 2010, tailored toward GFS and EDP;\n Delimitation of general government;\n Transactions/stocks relevant for government;\n Definition EDP-concepts, EDP-tables and the Questionnaire."},{"$f":"IF($A146<>\"\",IF(ZOZNAM!M137=\"\",\"\",ZOZNAM!M137),\"\")","v":""},{"$f":"IF($A146<>\"\",IF(ZOZNAM!N137=\"\",\"\",ZOZNAM!N137),\"\")","v":"nie"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!O137=\"\",\"\",ZOZNAM!O137),\"\")","v":"nie"},{"$f":"IF($A146<>\"\",IF(ZOZNAM!P137=\"\",\"\",ZOZNAM!P137),\"\")","v":""},{"$f":"IF($A146<>\"\",IF(ZOZNAM!Q137=\"\",\"\",ZOZNAM!Q137),\"\")","v":""},{"$f":"IF($A146<>\"\",IF(ZOZNAM!R137=\"\",\"\",ZOZNAM!R137),\"\")","v":""},{"$f":"IF($A146<>\"\",IF(ZOZNAM!S137=\"\",\"\",ZOZNAM!S137),\"\")","v":""},{"$f":"IF($A146<>\"\",IF(ZOZNAM!T137=\"\",\"\",ZOZNAM!T137),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C138)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C138)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C138)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C138)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C138)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C138)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L138)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L138)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L138)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L138)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L138)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L138)),FALSE))),ZOZNAM!G138>=$C$9),ZOZNAM!A138,\"\")","v":"ES008"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!B138=\"\",\"\",ZOZNAM!B138),\"\")","v":"Eurostat"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!C138=\"\",\"\",ZOZNAM!C138),\"\")","v":"Tourism Satellite Accounts"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!D138=\"\",\"\",ZOZNAM!D138),\"\")","v":"Luxembrug, Luxembursko"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!E138=\"\",\"\",ZOZNAM!E138),\"\")","v":2},{"$f":"IF($A147<>\"\",IF(ZOZNAM!F138=\"\",\"\",ZOZNAM!F138),\"\")","v":2},{"$f":"IF($A147<>\"\",IF(ZOZNAM!G138=\"\",\"\",ZOZNAM!G138),\"\")","v":"2019-11-26"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!H138=\"\",\"\",ZOZNAM!H138),\"\")","v":"2019-11-27"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!I138=\"\",\"\",ZOZNAM!I138),\"\")","v":"0 EUR"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!J138=\"\",\"\",ZOZNAM!J138),\"\")","v":"2019-10-01"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!K138=\"\",\"\",ZOZNAM!K138),\"\")","v":"https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!L138=\"\",\"\",ZOZNAM!L138),\"\")","v":"The training course will introduce the theoretical and practical knowhow of TSA compilation and will position TSA vis-à-vis primary\ntourism statistics.\nThe main compilation challenges for each TSA table (with a focus on\ncore tables 1 to 6) will be discussed, with the aim of improving the\ninternational comparability through maximising the use of existing\nharmonised European statistics.\nThe final goal of the course is to prepare participants to embark on\nthe production of TSA at national level or to improve the existing TSA\nand to better align national TSA to the international\nrecommendations."},{"$f":"IF($A147<>\"\",IF(ZOZNAM!M138=\"\",\"\",ZOZNAM!M138),\"\")","v":""},{"$f":"IF($A147<>\"\",IF(ZOZNAM!N138=\"\",\"\",ZOZNAM!N138),\"\")","v":"nie"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!O138=\"\",\"\",ZOZNAM!O138),\"\")","v":"nie"},{"$f":"IF($A147<>\"\",IF(ZOZNAM!P138=\"\",\"\",ZOZNAM!P138),\"\")","v":""},{"$f":"IF($A147<>\"\",IF(ZOZNAM!Q138=\"\",\"\",ZOZNAM!Q138),\"\")","v":""},{"$f":"IF($A147<>\"\",IF(ZOZNAM!R138=\"\",\"\",ZOZNAM!R138),\"\")","v":""},{"$f":"IF($A147<>\"\",IF(ZOZNAM!S138=\"\",\"\",ZOZNAM!S138),\"\")","v":""},{"$f":"IF($A147<>\"\",IF(ZOZNAM!T138=\"\",\"\",ZOZNAM!T138),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C139)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C139)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C139)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C139)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C139)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C139)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L139)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L139)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L139)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L139)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L139)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L139)),FALSE))),ZOZNAM!G139>=$C$9),ZOZNAM!A139,\"\")","v":"GE190"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!B139=\"\",\"\",ZOZNAM!B139),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!C139=\"\",\"\",ZOZNAM!C139),\"\")","v":"Introduction to Data Analysis Using Stata"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!D139=\"\",\"\",ZOZNAM!D139),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!E139=\"\",\"\",ZOZNAM!E139),\"\")","v":2},{"$f":"IF($A148<>\"\",IF(ZOZNAM!F139=\"\",\"\",ZOZNAM!F139),\"\")","v":2},{"$f":"IF($A148<>\"\",IF(ZOZNAM!G139=\"\",\"\",ZOZNAM!G139),\"\")","v":"2019-08-01"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!H139=\"\",\"\",ZOZNAM!H139),\"\")","v":"2019-08-02"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!I139=\"\",\"\",ZOZNAM!I139),\"\")","v":"360 EUR"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!J139=\"\",\"\",ZOZNAM!J139),\"\")","v":""},{"$f":"IF($A148<>\"\",IF(ZOZNAM!K139=\"\",\"\",ZOZNAM!K139),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x261F32407AEB4BCFBF4802650C22E922&lang=en_US"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!L139=\"\",\"\",ZOZNAM!L139),\"\")","v":"This course will give a thorough introduction to the Statistics Software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills.\nCourse will cover the program's interface and give an introductory to its basic syntax structure, it will review available help and support features (online and offline). The course will provide students with skills in hands-on data management, common data analyses, and the visualizing of results. Special attention will be devoted on how to use Stata within an integrated workflow and how to obtain publication-ready results (tables and graphs) from Stata. "},{"$f":"IF($A148<>\"\",IF(ZOZNAM!M139=\"\",\"\",ZOZNAM!M139),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!N139=\"\",\"\",ZOZNAM!N139),\"\")","v":"nie"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!O139=\"\",\"\",ZOZNAM!O139),\"\")","v":"áno"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!P139=\"\",\"\",ZOZNAM!P139),\"\")","v":2.5},{"$f":"IF($A148<>\"\",IF(ZOZNAM!Q139=\"\",\"\",ZOZNAM!Q139),\"\")","v":3},{"$f":"IF($A148<>\"\",IF(ZOZNAM!R139=\"\",\"\",ZOZNAM!R139),\"\")","v":2.7},{"$f":"IF($A148<>\"\",IF(ZOZNAM!S139=\"\",\"\",ZOZNAM!S139),\"\")","v":"Začiatočníkom"},{"$f":"IF($A148<>\"\",IF(ZOZNAM!T139=\"\",\"\",ZOZNAM!T139),\"\")","v":"Na získanie certifikátu bola potrebná 90% účasť na prednáškach a cvičeniach, čo účastníci kurzu považovali za nevýhodu z dôvodu ovládania danej problematiky. Kurz bol dobre štruktúrovaný s množstvom cvičení, vďaka ktorým si účastníci mohli precvičiť získané vedomosti. Nevýhodou kurzu bolo pomalšie tempo výuky kvôli slabším vedomostiam niektorých účastníkíov. Podmienkou kurzu je ovládanie ekonometrie a štatistiky."}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C141)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C141)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C141)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C141)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C141)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C141)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L141)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L141)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L141)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L141)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L141)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L141)),FALSE))),ZOZNAM!G141>=$C$9),ZOZNAM!A141,\"\")","v":"GE194"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!B141=\"\",\"\",ZOZNAM!B141),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!C141=\"\",\"\",ZOZNAM!C141),\"\")","v":"Research Designs and Causal Inference"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!D141=\"\",\"\",ZOZNAM!D141),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!E141=\"\",\"\",ZOZNAM!E141),\"\")","v":2},{"$f":"IF($A150<>\"\",IF(ZOZNAM!F141=\"\",\"\",ZOZNAM!F141),\"\")","v":2},{"$f":"IF($A150<>\"\",IF(ZOZNAM!G141=\"\",\"\",ZOZNAM!G141),\"\")","v":"2019-08-01"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!H141=\"\",\"\",ZOZNAM!H141),\"\")","v":"2019-08-02"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!I141=\"\",\"\",ZOZNAM!I141),\"\")","v":"360 EUR"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!J141=\"\",\"\",ZOZNAM!J141),\"\")","v":""},{"$f":"IF($A150<>\"\",IF(ZOZNAM!K141=\"\",\"\",ZOZNAM!K141),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x11688733FB1A4CA7A191206843233F67&lang=en_US"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!L141=\"\",\"\",ZOZNAM!L141),\"\")","v":"By the end of the course participants will have obtained an extensive overview over various types of quantitative research designs;\nbe familiar with the concept of causality from different perspectives;\nbe able to select the appropriate research design to answer causal research questions."},{"$f":"IF($A150<>\"\",IF(ZOZNAM!M141=\"\",\"\",ZOZNAM!M141),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!N141=\"\",\"\",ZOZNAM!N141),\"\")","v":"nie"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!O141=\"\",\"\",ZOZNAM!O141),\"\")","v":"áno"},{"$f":"IF($A150<>\"\",IF(ZOZNAM!P141=\"\",\"\",ZOZNAM!P141),\"\")","v":2.5},{"$f":"IF($A150<>\"\",IF(ZOZNAM!Q141=\"\",\"\",ZOZNAM!Q141),\"\")","v":""},{"$f":"IF($A150<>\"\",IF(ZOZNAM!R141=\"\",\"\",ZOZNAM!R141),\"\")","v":""},{"$f":"IF($A150<>\"\",IF(ZOZNAM!S141=\"\",\"\",ZOZNAM!S141),\"\")","v":""},{"$f":"IF($A150<>\"\",IF(ZOZNAM!T141=\"\",\"\",ZOZNAM!T141),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C142)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C142)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C142)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C142)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C142)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C142)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L142)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L142)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L142)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L142)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L142)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L142)),FALSE))),ZOZNAM!G142>=$C$9),ZOZNAM!A142,\"\")","v":"GE195"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!B142=\"\",\"\",ZOZNAM!B142),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!C142=\"\",\"\",ZOZNAM!C142),\"\")","v":"Introduction to Survey Design"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!D142=\"\",\"\",ZOZNAM!D142),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!E142=\"\",\"\",ZOZNAM!E142),\"\")","v":5},{"$f":"IF($A151<>\"\",IF(ZOZNAM!F142=\"\",\"\",ZOZNAM!F142),\"\")","v":5},{"$f":"IF($A151<>\"\",IF(ZOZNAM!G142=\"\",\"\",ZOZNAM!G142),\"\")","v":"2019-08-05"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!H142=\"\",\"\",ZOZNAM!H142),\"\")","v":"2019-08-09"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!I142=\"\",\"\",ZOZNAM!I142),\"\")","v":"900 EUR"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!J142=\"\",\"\",ZOZNAM!J142),\"\")","v":""},{"$f":"IF($A151<>\"\",IF(ZOZNAM!K142=\"\",\"\",ZOZNAM!K142),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xA4A12765F1784BE88FBAF16C12825207&lang=en_US"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!L142=\"\",\"\",ZOZNAM!L142),\"\")","v":"This course gives an overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing up data quality at each step of the process against associated costs."},{"$f":"IF($A151<>\"\",IF(ZOZNAM!M142=\"\",\"\",ZOZNAM!M142),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!N142=\"\",\"\",ZOZNAM!N142),\"\")","v":"nie"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!O142=\"\",\"\",ZOZNAM!O142),\"\")","v":"áno"},{"$f":"IF($A151<>\"\",IF(ZOZNAM!P142=\"\",\"\",ZOZNAM!P142),\"\")","v":2.5},{"$f":"IF($A151<>\"\",IF(ZOZNAM!Q142=\"\",\"\",ZOZNAM!Q142),\"\")","v":""},{"$f":"IF($A151<>\"\",IF(ZOZNAM!R142=\"\",\"\",ZOZNAM!R142),\"\")","v":""},{"$f":"IF($A151<>\"\",IF(ZOZNAM!S142=\"\",\"\",ZOZNAM!S142),\"\")","v":""},{"$f":"IF($A151<>\"\",IF(ZOZNAM!T142=\"\",\"\",ZOZNAM!T142),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C143)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C143)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C143)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C143)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C143)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C143)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L143)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L143)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L143)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L143)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L143)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L143)),FALSE))),ZOZNAM!G143>=$C$9),ZOZNAM!A143,\"\")","v":"GE196"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!B143=\"\",\"\",ZOZNAM!B143),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!C143=\"\",\"\",ZOZNAM!C143),\"\")","v":"Introduction to Structural Equation Modeling: Confirmatory Factor Analysis with Mplus"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!D143=\"\",\"\",ZOZNAM!D143),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!E143=\"\",\"\",ZOZNAM!E143),\"\")","v":5},{"$f":"IF($A152<>\"\",IF(ZOZNAM!F143=\"\",\"\",ZOZNAM!F143),\"\")","v":5},{"$f":"IF($A152<>\"\",IF(ZOZNAM!G143=\"\",\"\",ZOZNAM!G143),\"\")","v":"2019-08-05"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!H143=\"\",\"\",ZOZNAM!H143),\"\")","v":"2019-08-09"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!I143=\"\",\"\",ZOZNAM!I143),\"\")","v":"900 EUR"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!J143=\"\",\"\",ZOZNAM!J143),\"\")","v":""},{"$f":"IF($A152<>\"\",IF(ZOZNAM!K143=\"\",\"\",ZOZNAM!K143),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x9318ADD71B2245A7B75768ADDD1CEC74&lang=en_US"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!L143=\"\",\"\",ZOZNAM!L143),\"\")","v":"The course focuses on measurement models and their application within the Structural Equation Modeling (SEM) framework. Course will show how a theoretical model, represented by measurement models, can be applied to empirical data and how to assess its fit to the data through the measurements' covariance matrix. Confirmatory Factor Analysis (CFA) is an important and basic aspect of the SEM-framework and its understanding and application to data is the core learning aspect of this course. Also, CFA is a necessary conceptual precondition to understand and apply the structural aspect of SEM, path modeling. Therefore, the course deals with concepts and applications of CFA such as assessing construct validity and reliability of a measurement model as well as the interpretation of calculated results. The topics addressed in the course include different modeling techniques of CFA such as single measurement models, simultaneous CFA (SCFA), the Multiple Group Comparison of the CFA (MGCFA), and the higher-order CFA. "},{"$f":"IF($A152<>\"\",IF(ZOZNAM!M143=\"\",\"\",ZOZNAM!M143),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!N143=\"\",\"\",ZOZNAM!N143),\"\")","v":"nie"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!O143=\"\",\"\",ZOZNAM!O143),\"\")","v":"áno"},{"$f":"IF($A152<>\"\",IF(ZOZNAM!P143=\"\",\"\",ZOZNAM!P143),\"\")","v":2.5},{"$f":"IF($A152<>\"\",IF(ZOZNAM!Q143=\"\",\"\",ZOZNAM!Q143),\"\")","v":""},{"$f":"IF($A152<>\"\",IF(ZOZNAM!R143=\"\",\"\",ZOZNAM!R143),\"\")","v":""},{"$f":"IF($A152<>\"\",IF(ZOZNAM!S143=\"\",\"\",ZOZNAM!S143),\"\")","v":""},{"$f":"IF($A152<>\"\",IF(ZOZNAM!T143=\"\",\"\",ZOZNAM!T143),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C144)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C144)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C144)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C144)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C144)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C144)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L144)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L144)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L144)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L144)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L144)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L144)),FALSE))),ZOZNAM!G144>=$C$9),ZOZNAM!A144,\"\")","v":"GE197"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!B144=\"\",\"\",ZOZNAM!B144),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!C144=\"\",\"\",ZOZNAM!C144),\"\")","v":"Questionnaire Design"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!D144=\"\",\"\",ZOZNAM!D144),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!E144=\"\",\"\",ZOZNAM!E144),\"\")","v":5},{"$f":"IF($A153<>\"\",IF(ZOZNAM!F144=\"\",\"\",ZOZNAM!F144),\"\")","v":5},{"$f":"IF($A153<>\"\",IF(ZOZNAM!G144=\"\",\"\",ZOZNAM!G144),\"\")","v":"2019-08-05"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!H144=\"\",\"\",ZOZNAM!H144),\"\")","v":"2019-08-09"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!I144=\"\",\"\",ZOZNAM!I144),\"\")","v":"900 EUR"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!J144=\"\",\"\",ZOZNAM!J144),\"\")","v":""},{"$f":"IF($A153<>\"\",IF(ZOZNAM!K144=\"\",\"\",ZOZNAM!K144),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xBBD90F1829E94EF6884A5BE78554B29C&lang=en_US"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!L144=\"\",\"\",ZOZNAM!L144),\"\")","v":"The course will strengthen the, participants' ability to design effective survey questions and to integrate them into a meaningful questionnaire. An effective questionnaire is a key component of a survey contributing to overall data quality. In addition to an overview of theoretical principles underlying questionnaire design this course particularly aims at providing evidence-based practical advice on how to design good survey questions and questionnaires. Based on field-experimental studies evaluating various aspects of questionnaire design participants will acquire state of the art knowledge concerning questionnaire design. "},{"$f":"IF($A153<>\"\",IF(ZOZNAM!M144=\"\",\"\",ZOZNAM!M144),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!N144=\"\",\"\",ZOZNAM!N144),\"\")","v":"nie"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!O144=\"\",\"\",ZOZNAM!O144),\"\")","v":"áno"},{"$f":"IF($A153<>\"\",IF(ZOZNAM!P144=\"\",\"\",ZOZNAM!P144),\"\")","v":2.5},{"$f":"IF($A153<>\"\",IF(ZOZNAM!Q144=\"\",\"\",ZOZNAM!Q144),\"\")","v":""},{"$f":"IF($A153<>\"\",IF(ZOZNAM!R144=\"\",\"\",ZOZNAM!R144),\"\")","v":""},{"$f":"IF($A153<>\"\",IF(ZOZNAM!S144=\"\",\"\",ZOZNAM!S144),\"\")","v":""},{"$f":"IF($A153<>\"\",IF(ZOZNAM!T144=\"\",\"\",ZOZNAM!T144),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C145)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C145)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C145)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C145)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C145)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C145)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L145)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L145)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L145)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L145)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L145)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L145)),FALSE))),ZOZNAM!G145>=$C$9),ZOZNAM!A145,\"\")","v":"GE191"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!B145=\"\",\"\",ZOZNAM!B145),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!C145=\"\",\"\",ZOZNAM!C145),\"\")","v":"Introductory Course to R with Applications from Data Analysis"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!D145=\"\",\"\",ZOZNAM!D145),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!E145=\"\",\"\",ZOZNAM!E145),\"\")","v":5},{"$f":"IF($A154<>\"\",IF(ZOZNAM!F145=\"\",\"\",ZOZNAM!F145),\"\")","v":5},{"$f":"IF($A154<>\"\",IF(ZOZNAM!G145=\"\",\"\",ZOZNAM!G145),\"\")","v":"2019-08-12"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!H145=\"\",\"\",ZOZNAM!H145),\"\")","v":"2019-08-16"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!I145=\"\",\"\",ZOZNAM!I145),\"\")","v":"900 EUR"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!J145=\"\",\"\",ZOZNAM!J145),\"\")","v":""},{"$f":"IF($A154<>\"\",IF(ZOZNAM!K145=\"\",\"\",ZOZNAM!K145),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xCD9ADDC09DC147FD978A102A25DFA6E2&lang=en_US"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!L145=\"\",\"\",ZOZNAM!L145),\"\")","v":" Emphasis in this course will be on methods of graphically-based data analysis as R is particularly suitable for it.\nThe open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications."},{"$f":"IF($A154<>\"\",IF(ZOZNAM!M145=\"\",\"\",ZOZNAM!M145),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!N145=\"\",\"\",ZOZNAM!N145),\"\")","v":"nie"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!O145=\"\",\"\",ZOZNAM!O145),\"\")","v":"áno"},{"$f":"IF($A154<>\"\",IF(ZOZNAM!P145=\"\",\"\",ZOZNAM!P145),\"\")","v":2.5},{"$f":"IF($A154<>\"\",IF(ZOZNAM!Q145=\"\",\"\",ZOZNAM!Q145),\"\")","v":""},{"$f":"IF($A154<>\"\",IF(ZOZNAM!R145=\"\",\"\",ZOZNAM!R145),\"\")","v":""},{"$f":"IF($A154<>\"\",IF(ZOZNAM!S145=\"\",\"\",ZOZNAM!S145),\"\")","v":""},{"$f":"IF($A154<>\"\",IF(ZOZNAM!T145=\"\",\"\",ZOZNAM!T145),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C146)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C146)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C146)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C146)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C146)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C146)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L146)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L146)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L146)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L146)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L146)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L146)),FALSE))),ZOZNAM!G146>=$C$9),ZOZNAM!A146,\"\")","v":"GE192"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!B146=\"\",\"\",ZOZNAM!B146),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!C146=\"\",\"\",ZOZNAM!C146),\"\")","v":"Statistical Analysis of Incomplete Data"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!D146=\"\",\"\",ZOZNAM!D146),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!E146=\"\",\"\",ZOZNAM!E146),\"\")","v":5},{"$f":"IF($A155<>\"\",IF(ZOZNAM!F146=\"\",\"\",ZOZNAM!F146),\"\")","v":5},{"$f":"IF($A155<>\"\",IF(ZOZNAM!G146=\"\",\"\",ZOZNAM!G146),\"\")","v":"2019-08-12"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!H146=\"\",\"\",ZOZNAM!H146),\"\")","v":"2019-08-16"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!I146=\"\",\"\",ZOZNAM!I146),\"\")","v":"900 EUR"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!J146=\"\",\"\",ZOZNAM!J146),\"\")","v":""},{"$f":"IF($A155<>\"\",IF(ZOZNAM!K146=\"\",\"\",ZOZNAM!K146),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xDFC487F560054A5EB902AA68C9BE243E&lang=en_US"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!L146=\"\",\"\",ZOZNAM!L146),\"\")","v":"This course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R, SAS, Stata, SPSS,…), the method has become more accessible to data analysts.\nThis course has a theoretical part but also frequent problems like regression with missing data will be addressed, and further typical situations will be covered by the lab session throughout the course, which is predominantly based on the statistical language R."},{"$f":"IF($A155<>\"\",IF(ZOZNAM!M146=\"\",\"\",ZOZNAM!M146),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!N146=\"\",\"\",ZOZNAM!N146),\"\")","v":"nie"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!O146=\"\",\"\",ZOZNAM!O146),\"\")","v":"áno"},{"$f":"IF($A155<>\"\",IF(ZOZNAM!P146=\"\",\"\",ZOZNAM!P146),\"\")","v":2.5},{"$f":"IF($A155<>\"\",IF(ZOZNAM!Q146=\"\",\"\",ZOZNAM!Q146),\"\")","v":""},{"$f":"IF($A155<>\"\",IF(ZOZNAM!R146=\"\",\"\",ZOZNAM!R146),\"\")","v":""},{"$f":"IF($A155<>\"\",IF(ZOZNAM!S146=\"\",\"\",ZOZNAM!S146),\"\")","v":""},{"$f":"IF($A155<>\"\",IF(ZOZNAM!T146=\"\",\"\",ZOZNAM!T146),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C147)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C147)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C147)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C147)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C147)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C147)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L147)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L147)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L147)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L147)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L147)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L147)),FALSE))),ZOZNAM!G147>=$C$9),ZOZNAM!A147,\"\")","v":"GE198"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!B147=\"\",\"\",ZOZNAM!B147),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!C147=\"\",\"\",ZOZNAM!C147),\"\")","v":"Mixed Mode and Mixed Device Survey"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!D147=\"\",\"\",ZOZNAM!D147),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!E147=\"\",\"\",ZOZNAM!E147),\"\")","v":5},{"$f":"IF($A156<>\"\",IF(ZOZNAM!F147=\"\",\"\",ZOZNAM!F147),\"\")","v":5},{"$f":"IF($A156<>\"\",IF(ZOZNAM!G147=\"\",\"\",ZOZNAM!G147),\"\")","v":"2019-08-12"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!H147=\"\",\"\",ZOZNAM!H147),\"\")","v":"2019-08-16"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!I147=\"\",\"\",ZOZNAM!I147),\"\")","v":"900 EUR"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!J147=\"\",\"\",ZOZNAM!J147),\"\")","v":""},{"$f":"IF($A156<>\"\",IF(ZOZNAM!K147=\"\",\"\",ZOZNAM!K147),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x065E707D1F4B4E7E9E9B6F0CE19A88EB&lang=en_US"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!L147=\"\",\"\",ZOZNAM!L147),\"\")","v":"This course will discuss the most common designs for mixing modes in longitudinal, cross-national and single mode surveys.\nMixed-mode surveys are almost inevitable today, especially for academic research and official statistics. In this course is given an overview of issues in design and analysis and provide tools for designing, implementing and evaluating mixed-mode and mixed-device studies. ON course will be discussed the most common designs for mixing modes in longitudinal, cross-national and single mode surveys. As online surveys are often part of the mix, course will pay special attention to online data collection, and to the device respondents use to respond (e.g. smartphone, tablet, laptop)."},{"$f":"IF($A156<>\"\",IF(ZOZNAM!M147=\"\",\"\",ZOZNAM!M147),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!N147=\"\",\"\",ZOZNAM!N147),\"\")","v":"nie"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!O147=\"\",\"\",ZOZNAM!O147),\"\")","v":"áno"},{"$f":"IF($A156<>\"\",IF(ZOZNAM!P147=\"\",\"\",ZOZNAM!P147),\"\")","v":2.5},{"$f":"IF($A156<>\"\",IF(ZOZNAM!Q147=\"\",\"\",ZOZNAM!Q147),\"\")","v":""},{"$f":"IF($A156<>\"\",IF(ZOZNAM!R147=\"\",\"\",ZOZNAM!R147),\"\")","v":""},{"$f":"IF($A156<>\"\",IF(ZOZNAM!S147=\"\",\"\",ZOZNAM!S147),\"\")","v":""},{"$f":"IF($A156<>\"\",IF(ZOZNAM!T147=\"\",\"\",ZOZNAM!T147),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C148)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C148)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C148)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C148)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C148)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C148)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L148)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L148)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L148)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L148)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L148)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L148)),FALSE))),ZOZNAM!G148>=$C$9),ZOZNAM!A148,\"\")","v":"GE199"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!B148=\"\",\"\",ZOZNAM!B148),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!C148=\"\",\"\",ZOZNAM!C148),\"\")","v":"Design and Implementation of Longitudinal Surveys"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!D148=\"\",\"\",ZOZNAM!D148),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!E148=\"\",\"\",ZOZNAM!E148),\"\")","v":5},{"$f":"IF($A157<>\"\",IF(ZOZNAM!F148=\"\",\"\",ZOZNAM!F148),\"\")","v":5},{"$f":"IF($A157<>\"\",IF(ZOZNAM!G148=\"\",\"\",ZOZNAM!G148),\"\")","v":"2019-08-12"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!H148=\"\",\"\",ZOZNAM!H148),\"\")","v":"2019-08-16"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!I148=\"\",\"\",ZOZNAM!I148),\"\")","v":"900 EUR"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!J148=\"\",\"\",ZOZNAM!J148),\"\")","v":""},{"$f":"IF($A157<>\"\",IF(ZOZNAM!K148=\"\",\"\",ZOZNAM!K148),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x75CEF2842B434FAE8627AB5BE525BD3A&lang=en_US"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!L148=\"\",\"\",ZOZNAM!L148),\"\")","v":"The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\na review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put;\nkey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes;\nimportant aspects of designing a questionnaire and measurement for a longitudinal study, particularly for capturing micro-level change;\nthe impact of non-response and attrition in a panel, and adjustments, such as weighting and imputation given that missing data patterns differ between waves;\nan introduction to important analysis considerations and methods when using a longitudinal survey design;"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!M148=\"\",\"\",ZOZNAM!M148),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!N148=\"\",\"\",ZOZNAM!N148),\"\")","v":"nie"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!O148=\"\",\"\",ZOZNAM!O148),\"\")","v":"áno"},{"$f":"IF($A157<>\"\",IF(ZOZNAM!P148=\"\",\"\",ZOZNAM!P148),\"\")","v":2.5},{"$f":"IF($A157<>\"\",IF(ZOZNAM!Q148=\"\",\"\",ZOZNAM!Q148),\"\")","v":""},{"$f":"IF($A157<>\"\",IF(ZOZNAM!R148=\"\",\"\",ZOZNAM!R148),\"\")","v":""},{"$f":"IF($A157<>\"\",IF(ZOZNAM!S148=\"\",\"\",ZOZNAM!S148),\"\")","v":""},{"$f":"IF($A157<>\"\",IF(ZOZNAM!T148=\"\",\"\",ZOZNAM!T148),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C149)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C149)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C149)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C149)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C149)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C149)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L149)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L149)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L149)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L149)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L149)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L149)),FALSE))),ZOZNAM!G149>=$C$9),ZOZNAM!A149,\"\")","v":"GE200"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!B149=\"\",\"\",ZOZNAM!B149),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!C149=\"\",\"\",ZOZNAM!C149),\"\")","v":"Questionnaires for Cross Cultural Surveys"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!D149=\"\",\"\",ZOZNAM!D149),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!E149=\"\",\"\",ZOZNAM!E149),\"\")","v":5},{"$f":"IF($A158<>\"\",IF(ZOZNAM!F149=\"\",\"\",ZOZNAM!F149),\"\")","v":5},{"$f":"IF($A158<>\"\",IF(ZOZNAM!G149=\"\",\"\",ZOZNAM!G149),\"\")","v":"2019-08-19"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!H149=\"\",\"\",ZOZNAM!H149),\"\")","v":"2019-08-23"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!I149=\"\",\"\",ZOZNAM!I149),\"\")","v":"900 EUR"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!J149=\"\",\"\",ZOZNAM!J149),\"\")","v":""},{"$f":"IF($A158<>\"\",IF(ZOZNAM!K149=\"\",\"\",ZOZNAM!K149),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x2B33621B822148149733B6B8DADCF564&lang=en_US"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!L149=\"\",\"\",ZOZNAM!L149),\"\")","v":"This course focuses on what it means to develop and evaluate questionnaires for use in comparative research, assess the comparability of the used measurements employing for example measurement invariance tests and using the resulting data for substantive analyses.\nIt is focused on the following themes: measurement in comparative surveys, developing questionnaires for cross-cultural surveys, measuring background variables and their harmonization, best-practice in questionnaire translation and adaptation as well as translation assessment, and using quantitative (e.g. multigroup confirmatory factor analyses) and qualitative approaches (e.g. web probing) to test for cross-cultural comparability of measures (i.e. invariance) and to find out the reasons behind non-invariance."},{"$f":"IF($A158<>\"\",IF(ZOZNAM!M149=\"\",\"\",ZOZNAM!M149),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!N149=\"\",\"\",ZOZNAM!N149),\"\")","v":"nie"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!O149=\"\",\"\",ZOZNAM!O149),\"\")","v":"áno"},{"$f":"IF($A158<>\"\",IF(ZOZNAM!P149=\"\",\"\",ZOZNAM!P149),\"\")","v":2.5},{"$f":"IF($A158<>\"\",IF(ZOZNAM!Q149=\"\",\"\",ZOZNAM!Q149),\"\")","v":""},{"$f":"IF($A158<>\"\",IF(ZOZNAM!R149=\"\",\"\",ZOZNAM!R149),\"\")","v":""},{"$f":"IF($A158<>\"\",IF(ZOZNAM!S149=\"\",\"\",ZOZNAM!S149),\"\")","v":""},{"$f":"IF($A158<>\"\",IF(ZOZNAM!T149=\"\",\"\",ZOZNAM!T149),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C150)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C150)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C150)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C150)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C150)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C150)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L150)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L150)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L150)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L150)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L150)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L150)),FALSE))),ZOZNAM!G150>=$C$9),ZOZNAM!A150,\"\")","v":"GE201"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!B150=\"\",\"\",ZOZNAM!B150),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!C150=\"\",\"\",ZOZNAM!C150),\"\")","v":"Sampling, Weighting, and Estimation"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!D150=\"\",\"\",ZOZNAM!D150),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!E150=\"\",\"\",ZOZNAM!E150),\"\")","v":5},{"$f":"IF($A159<>\"\",IF(ZOZNAM!F150=\"\",\"\",ZOZNAM!F150),\"\")","v":5},{"$f":"IF($A159<>\"\",IF(ZOZNAM!G150=\"\",\"\",ZOZNAM!G150),\"\")","v":"2019-08-19"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!H150=\"\",\"\",ZOZNAM!H150),\"\")","v":"2019-08-23"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!I150=\"\",\"\",ZOZNAM!I150),\"\")","v":"900 EUR"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!J150=\"\",\"\",ZOZNAM!J150),\"\")","v":""},{"$f":"IF($A159<>\"\",IF(ZOZNAM!K150=\"\",\"\",ZOZNAM!K150),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x4241B620FEDE47468F243BBB1A212948&lang=en_US"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!L150=\"\",\"\",ZOZNAM!L150),\"\")","v":"This course will cover: methods of sample selection; calculation of weights that adjust for nonresponse and undercoverage; and analysis of complex survey data. On thecourse will be also discussed an analysis of nonprobability surveys. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. "},{"$f":"IF($A159<>\"\",IF(ZOZNAM!M150=\"\",\"\",ZOZNAM!M150),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!N150=\"\",\"\",ZOZNAM!N150),\"\")","v":"nie"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!O150=\"\",\"\",ZOZNAM!O150),\"\")","v":"áno"},{"$f":"IF($A159<>\"\",IF(ZOZNAM!P150=\"\",\"\",ZOZNAM!P150),\"\")","v":2.5},{"$f":"IF($A159<>\"\",IF(ZOZNAM!Q150=\"\",\"\",ZOZNAM!Q150),\"\")","v":""},{"$f":"IF($A159<>\"\",IF(ZOZNAM!R150=\"\",\"\",ZOZNAM!R150),\"\")","v":""},{"$f":"IF($A159<>\"\",IF(ZOZNAM!S150=\"\",\"\",ZOZNAM!S150),\"\")","v":""},{"$f":"IF($A159<>\"\",IF(ZOZNAM!T150=\"\",\"\",ZOZNAM!T150),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C151)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C151)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C151)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C151)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C151)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C151)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L151)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L151)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L151)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L151)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L151)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L151)),FALSE))),ZOZNAM!G151>=$C$9),ZOZNAM!A151,\"\")","v":"GE202"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!B151=\"\",\"\",ZOZNAM!B151),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!C151=\"\",\"\",ZOZNAM!C151),\"\")","v":"Factorial Survey Design"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!D151=\"\",\"\",ZOZNAM!D151),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!E151=\"\",\"\",ZOZNAM!E151),\"\")","v":5},{"$f":"IF($A160<>\"\",IF(ZOZNAM!F151=\"\",\"\",ZOZNAM!F151),\"\")","v":5},{"$f":"IF($A160<>\"\",IF(ZOZNAM!G151=\"\",\"\",ZOZNAM!G151),\"\")","v":"2019-08-19"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!H151=\"\",\"\",ZOZNAM!H151),\"\")","v":"2019-08-23"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!I151=\"\",\"\",ZOZNAM!I151),\"\")","v":"900 EUR"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!J151=\"\",\"\",ZOZNAM!J151),\"\")","v":""},{"$f":"IF($A160<>\"\",IF(ZOZNAM!K151=\"\",\"\",ZOZNAM!K151),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xC59F75C991C842D5A006714052450126&lang=en_US"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!L151=\"\",\"\",ZOZNAM!L151),\"\")","v":"This course gives a theoretical and practical overview of factorial survey methods. Participants will get practical insights into all single steps necessary to design factorial survey experiments: (1) construction of vignettes, (2) selection of an experimental design, (3) drafting and programming of questionnaires (for online surveys as well as paper and pencil surveys), (4) data management, and (5) data analysis techniques (such as multilevel analyses, estimations of willingness to pay). Participants may select a research question related to their own research for practical exercises. For most practical analyses the statistical software package Stata will be used (basic prior knowledge needed). For setting up experimental designs and programming of questionnaires we use the softw"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!M151=\"\",\"\",ZOZNAM!M151),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!N151=\"\",\"\",ZOZNAM!N151),\"\")","v":"nie"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!O151=\"\",\"\",ZOZNAM!O151),\"\")","v":"áno"},{"$f":"IF($A160<>\"\",IF(ZOZNAM!P151=\"\",\"\",ZOZNAM!P151),\"\")","v":2.5},{"$f":"IF($A160<>\"\",IF(ZOZNAM!Q151=\"\",\"\",ZOZNAM!Q151),\"\")","v":""},{"$f":"IF($A160<>\"\",IF(ZOZNAM!R151=\"\",\"\",ZOZNAM!R151),\"\")","v":""},{"$f":"IF($A160<>\"\",IF(ZOZNAM!S151=\"\",\"\",ZOZNAM!S151),\"\")","v":""},{"$f":"IF($A160<>\"\",IF(ZOZNAM!T151=\"\",\"\",ZOZNAM!T151),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C152)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C152)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C152)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C152)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C152)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C152)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L152)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L152)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L152)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L152)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L152)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L152)),FALSE))),ZOZNAM!G152>=$C$9),ZOZNAM!A152,\"\")","v":"GE203"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!B152=\"\",\"\",ZOZNAM!B152),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!C152=\"\",\"\",ZOZNAM!C152),\"\")","v":"Pretesting"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!D152=\"\",\"\",ZOZNAM!D152),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!E152=\"\",\"\",ZOZNAM!E152),\"\")","v":5},{"$f":"IF($A161<>\"\",IF(ZOZNAM!F152=\"\",\"\",ZOZNAM!F152),\"\")","v":5},{"$f":"IF($A161<>\"\",IF(ZOZNAM!G152=\"\",\"\",ZOZNAM!G152),\"\")","v":"2019-08-19"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!H152=\"\",\"\",ZOZNAM!H152),\"\")","v":"2019-08-23"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!I152=\"\",\"\",ZOZNAM!I152),\"\")","v":"900 EUR"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!J152=\"\",\"\",ZOZNAM!J152),\"\")","v":""},{"$f":"IF($A161<>\"\",IF(ZOZNAM!K152=\"\",\"\",ZOZNAM!K152),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xB83C878318E64F598FC0E39CC113699F&lang=en_US"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!L152=\"\",\"\",ZOZNAM!L152),\"\")","v":"This course provides researchers with the necessary methods and techniques to evaluate, test, and modify surveys to reduce measurement error. Participants are introduced to different pretesting approaches and discuss examples of untested as well as pretested and improved survey questions. The in-class exercises familiarize participants with different pretesting methods. First, students will discuss the overall goal of pretesting surveys and how to fit pretesting into the survey development process. Then, they will discuss the following pretesting methods in detail:\nexpert review & questionnaire appraisal systems\nfocus groups\ncognitive interviewing\nweb probing\nusability testing & eye tracking\nother pretesting methods (e.g., behavior coding)"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!M152=\"\",\"\",ZOZNAM!M152),\"\")","v":"50 € / ECTS points (papier/report of about 5000 words)"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!N152=\"\",\"\",ZOZNAM!N152),\"\")","v":"nie"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!O152=\"\",\"\",ZOZNAM!O152),\"\")","v":"áno"},{"$f":"IF($A161<>\"\",IF(ZOZNAM!P152=\"\",\"\",ZOZNAM!P152),\"\")","v":2.5},{"$f":"IF($A161<>\"\",IF(ZOZNAM!Q152=\"\",\"\",ZOZNAM!Q152),\"\")","v":""},{"$f":"IF($A161<>\"\",IF(ZOZNAM!R152=\"\",\"\",ZOZNAM!R152),\"\")","v":""},{"$f":"IF($A161<>\"\",IF(ZOZNAM!S152=\"\",\"\",ZOZNAM!S152),\"\")","v":""},{"$f":"IF($A161<>\"\",IF(ZOZNAM!T152=\"\",\"\",ZOZNAM!T152),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C153)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C153)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C153)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C153)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C153)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C153)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L153)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L153)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L153)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L153)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L153)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L153)),FALSE))),ZOZNAM!G153>=$C$9),ZOZNAM!A153,\"\")","v":"IT001"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!B153=\"\",\"\",ZOZNAM!B153),\"\")","v":"International Tax Center ITC Leiden"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!C153=\"\",\"\",ZOZNAM!C153),\"\")","v":"Tax treaties (July 2019 Summer Course in International Tax Law)"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!D153=\"\",\"\",ZOZNAM!D153),\"\")","v":"Leiden, Holandsko"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!E153=\"\",\"\",ZOZNAM!E153),\"\")","v":5},{"$f":"IF($A162<>\"\",IF(ZOZNAM!F153=\"\",\"\",ZOZNAM!F153),\"\")","v":5},{"$f":"IF($A162<>\"\",IF(ZOZNAM!G153=\"\",\"\",ZOZNAM!G153),\"\")","v":"2019-07-08"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!H153=\"\",\"\",ZOZNAM!H153),\"\")","v":"2019-07-12"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!I153=\"\",\"\",ZOZNAM!I153),\"\")","v":"2 000 EUR"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!J153=\"\",\"\",ZOZNAM!J153),\"\")","v":"2019-06-01"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!K153=\"\",\"\",ZOZNAM!K153),\"\")","v":"https://www.itc-leiden.nl/en/2019-summer-course-leiden"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!L153=\"\",\"\",ZOZNAM!L153),\"\")","v":"This week of summer school offers for those practitioners that - occasionally or frequently - deal with tax treaties a thorough knowledge of the complex rules that govern these treaties.  \nInstructors will introduce students to both the basic concepts and the fine points of the tax treaty rules.  In addition, through case studies they will make you familiar how the OECD’s Multilateral Instrument (MLI) to which many countries acceded, needs to be applied in situations covered by these countries’ tax treaties.\n\n• Key concepts of international tax law\n• Introduction to tax treaties & treaty residence\n• Business profits taxation under tax treaties\n• Dividends, interest & royalties and immovable property income & capital gains under tax treaties\n• Income from employment, pensions, etc. under tax treaties"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!M153=\"\",\"\",ZOZNAM!M153),\"\")","v":""},{"$f":"IF($A162<>\"\",IF(ZOZNAM!N153=\"\",\"\",ZOZNAM!N153),\"\")","v":"nie"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!O153=\"\",\"\",ZOZNAM!O153),\"\")","v":"nie"},{"$f":"IF($A162<>\"\",IF(ZOZNAM!P153=\"\",\"\",ZOZNAM!P153),\"\")","v":""},{"$f":"IF($A162<>\"\",IF(ZOZNAM!Q153=\"\",\"\",ZOZNAM!Q153),\"\")","v":""},{"$f":"IF($A162<>\"\",IF(ZOZNAM!R153=\"\",\"\",ZOZNAM!R153),\"\")","v":""},{"$f":"IF($A162<>\"\",IF(ZOZNAM!S153=\"\",\"\",ZOZNAM!S153),\"\")","v":""},{"$f":"IF($A162<>\"\",IF(ZOZNAM!T153=\"\",\"\",ZOZNAM!T153),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C154)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C154)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C154)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C154)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C154)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C154)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L154)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L154)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L154)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L154)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L154)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L154)),FALSE))),ZOZNAM!G154>=$C$9),ZOZNAM!A154,\"\")","v":"IT002"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!B154=\"\",\"\",ZOZNAM!B154),\"\")","v":"International Tax Center ITC Leiden"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!C154=\"\",\"\",ZOZNAM!C154),\"\")","v":"Advanced subjects (July 2019 Summer Course in International Tax Law)"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!D154=\"\",\"\",ZOZNAM!D154),\"\")","v":"Leiden, Holandsko"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!E154=\"\",\"\",ZOZNAM!E154),\"\")","v":5},{"$f":"IF($A163<>\"\",IF(ZOZNAM!F154=\"\",\"\",ZOZNAM!F154),\"\")","v":5},{"$f":"IF($A163<>\"\",IF(ZOZNAM!G154=\"\",\"\",ZOZNAM!G154),\"\")","v":"2019-07-15"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!H154=\"\",\"\",ZOZNAM!H154),\"\")","v":"2019-07-19"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!I154=\"\",\"\",ZOZNAM!I154),\"\")","v":"2 000 EUR"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!J154=\"\",\"\",ZOZNAM!J154),\"\")","v":"2019-06-01"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!K154=\"\",\"\",ZOZNAM!K154),\"\")","v":"https://www.itc-leiden.nl/en/2019-summer-course-leiden"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!L154=\"\",\"\",ZOZNAM!L154),\"\")","v":"Course includes topics:\n• Five fundamental rules on tax treaty application & triangular cases\n• Double Taxation Relief & Non-Discrimination \n• Beneficial ownership & tax treaty anti-avoidance provisions\n• Transfer Pricing Issues\n• Advanced issues on business profits taxation under tax treaties & OECD proposed changes"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!M154=\"\",\"\",ZOZNAM!M154),\"\")","v":""},{"$f":"IF($A163<>\"\",IF(ZOZNAM!N154=\"\",\"\",ZOZNAM!N154),\"\")","v":"nie"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!O154=\"\",\"\",ZOZNAM!O154),\"\")","v":"nie"},{"$f":"IF($A163<>\"\",IF(ZOZNAM!P154=\"\",\"\",ZOZNAM!P154),\"\")","v":""},{"$f":"IF($A163<>\"\",IF(ZOZNAM!Q154=\"\",\"\",ZOZNAM!Q154),\"\")","v":""},{"$f":"IF($A163<>\"\",IF(ZOZNAM!R154=\"\",\"\",ZOZNAM!R154),\"\")","v":""},{"$f":"IF($A163<>\"\",IF(ZOZNAM!S154=\"\",\"\",ZOZNAM!S154),\"\")","v":""},{"$f":"IF($A163<>\"\",IF(ZOZNAM!T154=\"\",\"\",ZOZNAM!T154),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C158)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C158)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C158)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C158)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C158)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C158)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L158)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L158)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L158)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L158)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L158)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L158)),FALSE))),ZOZNAM!G158>=$C$9),ZOZNAM!A158,\"\")","v":"KI205"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!B158=\"\",\"\",ZOZNAM!B158),\"\")","v":"Kiel Institute for World Economy"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!C158=\"\",\"\",ZOZNAM!C158),\"\")","v":"International Trade and Macroeconomics"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!D158=\"\",\"\",ZOZNAM!D158),\"\")","v":"Kiel, Nemecko"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!E158=\"\",\"\",ZOZNAM!E158),\"\")","v":5},{"$f":"IF($A167<>\"\",IF(ZOZNAM!F158=\"\",\"\",ZOZNAM!F158),\"\")","v":5},{"$f":"IF($A167<>\"\",IF(ZOZNAM!G158=\"\",\"\",ZOZNAM!G158),\"\")","v":"2019-01-14"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!H158=\"\",\"\",ZOZNAM!H158),\"\")","v":"2019-01-18"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!I158=\"\",\"\",ZOZNAM!I158),\"\")","v":"0 EUR"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!J158=\"\",\"\",ZOZNAM!J158),\"\")","v":""},{"$f":"IF($A167<>\"\",IF(ZOZNAM!K158=\"\",\"\",ZOZNAM!K158),\"\")","v":"https://www.ifw-kiel.de/institute/events/asp-courses/2018-2019/international-trade-and-macroeconomics-fabio-ghironi/"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!L158=\"\",\"\",ZOZNAM!L158),\"\")","v":"This mini-course focuses on the intersection of international trade and macroeconomics. Its purpose is to expose students to recent developments in this research area, to develop understanding of the interaction of micro and macro dynamics in international interdependence, and to stimulate ideas for research. The course studies how international macroeconomic models with trade microfoundations can shed new light on long-standing and novel questions in international macroeconomics. On course theories will be confronted  with empirical evidence and pay special attention to the roles of producer entry and exit in domestic and export markets, and firm heterogeneity, in shaping aggregate fluctuations and economic policy outcomes. Topics which will be covered: international trade and macroeconomic dynamics with producer entry, exit, and heterogeneity; FDI, offshoring, and international business cycles; labor market frictions and the consequences of trade integration; financial frictions, banks, and trade; and monetary policy and trade. "},{"$f":"IF($A167<>\"\",IF(ZOZNAM!M158=\"\",\"\",ZOZNAM!M158),\"\")","v":""},{"$f":"IF($A167<>\"\",IF(ZOZNAM!N158=\"\",\"\",ZOZNAM!N158),\"\")","v":"áno"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!O158=\"\",\"\",ZOZNAM!O158),\"\")","v":"nie"},{"$f":"IF($A167<>\"\",IF(ZOZNAM!P158=\"\",\"\",ZOZNAM!P158),\"\")","v":""},{"$f":"IF($A167<>\"\",IF(ZOZNAM!Q158=\"\",\"\",ZOZNAM!Q158),\"\")","v":""},{"$f":"IF($A167<>\"\",IF(ZOZNAM!R158=\"\",\"\",ZOZNAM!R158),\"\")","v":""},{"$f":"IF($A167<>\"\",IF(ZOZNAM!S158=\"\",\"\",ZOZNAM!S158),\"\")","v":""},{"$f":"IF($A167<>\"\",IF(ZOZNAM!T158=\"\",\"\",ZOZNAM!T158),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C159)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C159)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C159)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C159)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C159)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C159)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L159)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L159)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L159)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L159)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L159)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L159)),FALSE))),ZOZNAM!G159>=$C$9),ZOZNAM!A159,\"\")","v":"LO206"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!B159=\"\",\"\",ZOZNAM!B159),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!C159=\"\",\"\",ZOZNAM!C159),\"\")","v":"Introductory Microeconomics"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!D159=\"\",\"\",ZOZNAM!D159),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!E159=\"\",\"\",ZOZNAM!E159),\"\")","v":14},{"$f":"IF($A168<>\"\",IF(ZOZNAM!F159=\"\",\"\",ZOZNAM!F159),\"\")","v":19},{"$f":"IF($A168<>\"\",IF(ZOZNAM!G159=\"\",\"\",ZOZNAM!G159),\"\")","v":"2019-06-17"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!H159=\"\",\"\",ZOZNAM!H159),\"\")","v":"2019-07-05"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!I159=\"\",\"\",ZOZNAM!I159),\"\")","v":"3 300 GBP"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!J159=\"\",\"\",ZOZNAM!J159),\"\")","v":""},{"$f":"IF($A168<>\"\",IF(ZOZNAM!K159=\"\",\"\",ZOZNAM!K159),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC101"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!L159=\"\",\"\",ZOZNAM!L159),\"\")","v":"This course seeks to introduce microeconomic analysis as a way of understanding the world. It exposes students to standard microeconomic theory with a focus on the development of economic intuition, whilst also providing certain economic tools that support this intuition along the way.\nIt provides a foundation for further study in economics."},{"$f":"IF($A168<>\"\",IF(ZOZNAM!M159=\"\",\"\",ZOZNAM!M159),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!N159=\"\",\"\",ZOZNAM!N159),\"\")","v":"nie"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!O159=\"\",\"\",ZOZNAM!O159),\"\")","v":"áno"},{"$f":"IF($A168<>\"\",IF(ZOZNAM!P159=\"\",\"\",ZOZNAM!P159),\"\")","v":""},{"$f":"IF($A168<>\"\",IF(ZOZNAM!Q159=\"\",\"\",ZOZNAM!Q159),\"\")","v":""},{"$f":"IF($A168<>\"\",IF(ZOZNAM!R159=\"\",\"\",ZOZNAM!R159),\"\")","v":""},{"$f":"IF($A168<>\"\",IF(ZOZNAM!S159=\"\",\"\",ZOZNAM!S159),\"\")","v":""},{"$f":"IF($A168<>\"\",IF(ZOZNAM!T159=\"\",\"\",ZOZNAM!T159),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C160)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C160)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C160)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C160)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C160)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C160)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L160)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L160)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L160)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L160)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L160)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L160)),FALSE))),ZOZNAM!G160>=$C$9),ZOZNAM!A160,\"\")","v":"LO207"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!B160=\"\",\"\",ZOZNAM!B160),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!C160=\"\",\"\",ZOZNAM!C160),\"\")","v":"Intermediate Microeconomics"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!D160=\"\",\"\",ZOZNAM!D160),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!E160=\"\",\"\",ZOZNAM!E160),\"\")","v":14},{"$f":"IF($A169<>\"\",IF(ZOZNAM!F160=\"\",\"\",ZOZNAM!F160),\"\")","v":19},{"$f":"IF($A169<>\"\",IF(ZOZNAM!G160=\"\",\"\",ZOZNAM!G160),\"\")","v":"2019-06-17"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!H160=\"\",\"\",ZOZNAM!H160),\"\")","v":"2019-07-05"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!I160=\"\",\"\",ZOZNAM!I160),\"\")","v":"3 300 GBP"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!J160=\"\",\"\",ZOZNAM!J160),\"\")","v":""},{"$f":"IF($A169<>\"\",IF(ZOZNAM!K160=\"\",\"\",ZOZNAM!K160),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC201"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!L160=\"\",\"\",ZOZNAM!L160),\"\")","v":"The aim of this course is to give students the conceptual basis and the necessary tools for understanding modern microeconomics at the intermediate level.\n\nIn the context of this theoretical framework the course will explore a number of applied issues such as contract design, insurance, and ownership structures."},{"$f":"IF($A169<>\"\",IF(ZOZNAM!M160=\"\",\"\",ZOZNAM!M160),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!N160=\"\",\"\",ZOZNAM!N160),\"\")","v":"nie"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!O160=\"\",\"\",ZOZNAM!O160),\"\")","v":"áno"},{"$f":"IF($A169<>\"\",IF(ZOZNAM!P160=\"\",\"\",ZOZNAM!P160),\"\")","v":""},{"$f":"IF($A169<>\"\",IF(ZOZNAM!Q160=\"\",\"\",ZOZNAM!Q160),\"\")","v":""},{"$f":"IF($A169<>\"\",IF(ZOZNAM!R160=\"\",\"\",ZOZNAM!R160),\"\")","v":""},{"$f":"IF($A169<>\"\",IF(ZOZNAM!S160=\"\",\"\",ZOZNAM!S160),\"\")","v":""},{"$f":"IF($A169<>\"\",IF(ZOZNAM!T160=\"\",\"\",ZOZNAM!T160),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C161)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C161)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C161)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C161)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C161)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C161)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L161)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L161)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L161)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L161)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L161)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L161)),FALSE))),ZOZNAM!G161>=$C$9),ZOZNAM!A161,\"\")","v":"LO208"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!B161=\"\",\"\",ZOZNAM!B161),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!C161=\"\",\"\",ZOZNAM!C161),\"\")","v":"Real Estate Economics and Finance"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!D161=\"\",\"\",ZOZNAM!D161),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!E161=\"\",\"\",ZOZNAM!E161),\"\")","v":14},{"$f":"IF($A170<>\"\",IF(ZOZNAM!F161=\"\",\"\",ZOZNAM!F161),\"\")","v":19},{"$f":"IF($A170<>\"\",IF(ZOZNAM!G161=\"\",\"\",ZOZNAM!G161),\"\")","v":"2019-06-17"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!H161=\"\",\"\",ZOZNAM!H161),\"\")","v":"2019-07-05"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!I161=\"\",\"\",ZOZNAM!I161),\"\")","v":"3 300 GBP"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!J161=\"\",\"\",ZOZNAM!J161),\"\")","v":""},{"$f":"IF($A170<>\"\",IF(ZOZNAM!K161=\"\",\"\",ZOZNAM!K161),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC203"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!L161=\"\",\"\",ZOZNAM!L161),\"\")","v":"This course is an introduction to the theoretical and practical functioning of urban real estate markets using concepts from urban economics, finance and real estate economics.\n\nThe course will cover topics of the productive and consumption advantages of urban areas and location patterns within cities. Students will see how these help determine demand for residential and commercial real estate, as well as looking at differences in supply for different types of properties. They will also discuss the impact of policy, with a special focus on taxation and urban planning.\n\nEquipped with this framework, the course will explore how demand and supply for space determine real estate asset prices and how to measure them. "},{"$f":"IF($A170<>\"\",IF(ZOZNAM!M161=\"\",\"\",ZOZNAM!M161),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!N161=\"\",\"\",ZOZNAM!N161),\"\")","v":"nie"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!O161=\"\",\"\",ZOZNAM!O161),\"\")","v":"áno"},{"$f":"IF($A170<>\"\",IF(ZOZNAM!P161=\"\",\"\",ZOZNAM!P161),\"\")","v":""},{"$f":"IF($A170<>\"\",IF(ZOZNAM!Q161=\"\",\"\",ZOZNAM!Q161),\"\")","v":""},{"$f":"IF($A170<>\"\",IF(ZOZNAM!R161=\"\",\"\",ZOZNAM!R161),\"\")","v":""},{"$f":"IF($A170<>\"\",IF(ZOZNAM!S161=\"\",\"\",ZOZNAM!S161),\"\")","v":""},{"$f":"IF($A170<>\"\",IF(ZOZNAM!T161=\"\",\"\",ZOZNAM!T161),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C162)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C162)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C162)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C162)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C162)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C162)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L162)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L162)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L162)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L162)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L162)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L162)),FALSE))),ZOZNAM!G162>=$C$9),ZOZNAM!A162,\"\")","v":"LO209"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!B162=\"\",\"\",ZOZNAM!B162),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!C162=\"\",\"\",ZOZNAM!C162),\"\")","v":"Financial Markets and the Global Economy: the History of Bubbles, Crashes and Inflations"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!D162=\"\",\"\",ZOZNAM!D162),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!E162=\"\",\"\",ZOZNAM!E162),\"\")","v":14},{"$f":"IF($A171<>\"\",IF(ZOZNAM!F162=\"\",\"\",ZOZNAM!F162),\"\")","v":19},{"$f":"IF($A171<>\"\",IF(ZOZNAM!G162=\"\",\"\",ZOZNAM!G162),\"\")","v":"2019-06-17"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!H162=\"\",\"\",ZOZNAM!H162),\"\")","v":"2019-07-05"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!I162=\"\",\"\",ZOZNAM!I162),\"\")","v":"3 300 GBP"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!J162=\"\",\"\",ZOZNAM!J162),\"\")","v":""},{"$f":"IF($A171<>\"\",IF(ZOZNAM!K162=\"\",\"\",ZOZNAM!K162),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC204"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!L162=\"\",\"\",ZOZNAM!L162),\"\")","v":"This course introduces students to the long run evolution of financial markets and to the history of monetary policy and financial crises.\n\nThe course covers the two waves of financial globalization of 1880-1914 and 1980-2008 and the de-globalization of finance that happened during the Great Depression. A long run perspective on the 2008 financial crisis and Eurozone crisis will be provided through several historical case studies of stock market crashes, banking panics, currency crises and sovereign defaults. Finally, the course explores how central banks responded to financial crises in different historical periods and covers the main evolutions in monetary policy over the last two hundred years.\n\nThe course puts strong emphasis on how institutional and political factors shape the process of financial globalization and on how the structure of the international monetary system affects the conduct of monetary policy and the response to financial crises."},{"$f":"IF($A171<>\"\",IF(ZOZNAM!M162=\"\",\"\",ZOZNAM!M162),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!N162=\"\",\"\",ZOZNAM!N162),\"\")","v":"nie"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!O162=\"\",\"\",ZOZNAM!O162),\"\")","v":"áno"},{"$f":"IF($A171<>\"\",IF(ZOZNAM!P162=\"\",\"\",ZOZNAM!P162),\"\")","v":""},{"$f":"IF($A171<>\"\",IF(ZOZNAM!Q162=\"\",\"\",ZOZNAM!Q162),\"\")","v":""},{"$f":"IF($A171<>\"\",IF(ZOZNAM!R162=\"\",\"\",ZOZNAM!R162),\"\")","v":""},{"$f":"IF($A171<>\"\",IF(ZOZNAM!S162=\"\",\"\",ZOZNAM!S162),\"\")","v":""},{"$f":"IF($A171<>\"\",IF(ZOZNAM!T162=\"\",\"\",ZOZNAM!T162),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C163)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C163)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C163)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C163)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C163)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C163)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L163)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L163)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L163)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L163)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L163)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L163)),FALSE))),ZOZNAM!G163>=$C$9),ZOZNAM!A163,\"\")","v":"LO210"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!B163=\"\",\"\",ZOZNAM!B163),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!C163=\"\",\"\",ZOZNAM!C163),\"\")","v":"Introduction to Econometrics"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!D163=\"\",\"\",ZOZNAM!D163),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!E163=\"\",\"\",ZOZNAM!E163),\"\")","v":14},{"$f":"IF($A172<>\"\",IF(ZOZNAM!F163=\"\",\"\",ZOZNAM!F163),\"\")","v":19},{"$f":"IF($A172<>\"\",IF(ZOZNAM!G163=\"\",\"\",ZOZNAM!G163),\"\")","v":"2019-06-17"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!H163=\"\",\"\",ZOZNAM!H163),\"\")","v":"2019-07-05"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!I163=\"\",\"\",ZOZNAM!I163),\"\")","v":"3 300 GBP"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!J163=\"\",\"\",ZOZNAM!J163),\"\")","v":""},{"$f":"IF($A172<>\"\",IF(ZOZNAM!K163=\"\",\"\",ZOZNAM!K163),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC212"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!L163=\"\",\"\",ZOZNAM!L163),\"\")","v":"Programme structure:\nSimple Regression Analysis\nProperties of Regression Coefficients and Hypothesis Testing\nMultiple Regression Analysis\nTransformation of Variables\nSpecification of Regression Variables\nHeteroscedasticity\nStochastic Regressors and Measurement Errors\nSimultaneous Equations Estimation\nModelling Dynamic Processes\nAutocorrelation\nLogit and Probit (binary choice models)"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!M163=\"\",\"\",ZOZNAM!M163),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!N163=\"\",\"\",ZOZNAM!N163),\"\")","v":"nie"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!O163=\"\",\"\",ZOZNAM!O163),\"\")","v":"áno"},{"$f":"IF($A172<>\"\",IF(ZOZNAM!P163=\"\",\"\",ZOZNAM!P163),\"\")","v":""},{"$f":"IF($A172<>\"\",IF(ZOZNAM!Q163=\"\",\"\",ZOZNAM!Q163),\"\")","v":""},{"$f":"IF($A172<>\"\",IF(ZOZNAM!R163=\"\",\"\",ZOZNAM!R163),\"\")","v":""},{"$f":"IF($A172<>\"\",IF(ZOZNAM!S163=\"\",\"\",ZOZNAM!S163),\"\")","v":""},{"$f":"IF($A172<>\"\",IF(ZOZNAM!T163=\"\",\"\",ZOZNAM!T163),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C164)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C164)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C164)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C164)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C164)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C164)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L164)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L164)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L164)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L164)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L164)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L164)),FALSE))),ZOZNAM!G164>=$C$9),ZOZNAM!A164,\"\")","v":"LO211"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!B164=\"\",\"\",ZOZNAM!B164),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!C164=\"\",\"\",ZOZNAM!C164),\"\")","v":"International Economics"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!D164=\"\",\"\",ZOZNAM!D164),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!E164=\"\",\"\",ZOZNAM!E164),\"\")","v":14},{"$f":"IF($A173<>\"\",IF(ZOZNAM!F164=\"\",\"\",ZOZNAM!F164),\"\")","v":19},{"$f":"IF($A173<>\"\",IF(ZOZNAM!G164=\"\",\"\",ZOZNAM!G164),\"\")","v":"2019-06-17"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!H164=\"\",\"\",ZOZNAM!H164),\"\")","v":"2019-07-05"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!I164=\"\",\"\",ZOZNAM!I164),\"\")","v":"3 300 GBP"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!J164=\"\",\"\",ZOZNAM!J164),\"\")","v":""},{"$f":"IF($A173<>\"\",IF(ZOZNAM!K164=\"\",\"\",ZOZNAM!K164),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC351"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!L164=\"\",\"\",ZOZNAM!L164),\"\")","v":"This course provides an analysis of the economic relationships between countries, covering both trade and monetary issues.\nThe course deals with international trade theory and policy. It focuses on a number of classic questions such as: Why do countries trade with each other? What are the effects of trade on welfare and the income distribution? What are the effects of various barriers to trade and economic integration? Students will also look at recent work on the role of firm heterogeneity in international trade and the links between globalisation and inequality. The course considers international macroeconomic issues. This part of the course starts by laying out the balance of payments accounts and open economy income identities. The course then focuses on some of the key questions in open economy macroeconomics and relates them to current events and policy issues.  "},{"$f":"IF($A173<>\"\",IF(ZOZNAM!M164=\"\",\"\",ZOZNAM!M164),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!N164=\"\",\"\",ZOZNAM!N164),\"\")","v":"nie"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!O164=\"\",\"\",ZOZNAM!O164),\"\")","v":"áno"},{"$f":"IF($A173<>\"\",IF(ZOZNAM!P164=\"\",\"\",ZOZNAM!P164),\"\")","v":""},{"$f":"IF($A173<>\"\",IF(ZOZNAM!Q164=\"\",\"\",ZOZNAM!Q164),\"\")","v":""},{"$f":"IF($A173<>\"\",IF(ZOZNAM!R164=\"\",\"\",ZOZNAM!R164),\"\")","v":""},{"$f":"IF($A173<>\"\",IF(ZOZNAM!S164=\"\",\"\",ZOZNAM!S164),\"\")","v":""},{"$f":"IF($A173<>\"\",IF(ZOZNAM!T164=\"\",\"\",ZOZNAM!T164),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C165)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C165)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C165)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C165)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C165)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C165)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L165)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L165)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L165)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L165)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L165)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L165)),FALSE))),ZOZNAM!G165>=$C$9),ZOZNAM!A165,\"\")","v":"LO227"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!B165=\"\",\"\",ZOZNAM!B165),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!C165=\"\",\"\",ZOZNAM!C165),\"\")","v":"Essential Statistics for Economics and Econometrics"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!D165=\"\",\"\",ZOZNAM!D165),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!E165=\"\",\"\",ZOZNAM!E165),\"\")","v":14},{"$f":"IF($A174<>\"\",IF(ZOZNAM!F165=\"\",\"\",ZOZNAM!F165),\"\")","v":19},{"$f":"IF($A174<>\"\",IF(ZOZNAM!G165=\"\",\"\",ZOZNAM!G165),\"\")","v":"2019-06-17"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!H165=\"\",\"\",ZOZNAM!H165),\"\")","v":"2019-07-05"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!I165=\"\",\"\",ZOZNAM!I165),\"\")","v":"3 300 GBP"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!J165=\"\",\"\",ZOZNAM!J165),\"\")","v":""},{"$f":"IF($A174<>\"\",IF(ZOZNAM!K165=\"\",\"\",ZOZNAM!K165),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME116"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!L165=\"\",\"\",ZOZNAM!L165),\"\")","v":"This is an introductory course on probability and statistics, with examples to demonstrate their applications in the social and natural sciences. \n\nThere will be a strong emphasis on the fundamental concepts of probability theory, random variables and their distributions, sampling theory, statistical inference, and linear regression. Inferential techniques such as estimation, hypothesis testing, and regression analysis are important in the fitting and interpretation of statistical models. Students will explore the mathematical background of these concepts and techniques, and demonstrate their use through practical examples and interactive experiments. "},{"$f":"IF($A174<>\"\",IF(ZOZNAM!M165=\"\",\"\",ZOZNAM!M165),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!N165=\"\",\"\",ZOZNAM!N165),\"\")","v":"nie"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!O165=\"\",\"\",ZOZNAM!O165),\"\")","v":"áno"},{"$f":"IF($A174<>\"\",IF(ZOZNAM!P165=\"\",\"\",ZOZNAM!P165),\"\")","v":""},{"$f":"IF($A174<>\"\",IF(ZOZNAM!Q165=\"\",\"\",ZOZNAM!Q165),\"\")","v":""},{"$f":"IF($A174<>\"\",IF(ZOZNAM!R165=\"\",\"\",ZOZNAM!R165),\"\")","v":""},{"$f":"IF($A174<>\"\",IF(ZOZNAM!S165=\"\",\"\",ZOZNAM!S165),\"\")","v":""},{"$f":"IF($A174<>\"\",IF(ZOZNAM!T165=\"\",\"\",ZOZNAM!T165),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C166)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C166)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C166)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C166)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C166)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C166)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L166)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L166)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L166)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L166)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L166)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L166)),FALSE))),ZOZNAM!G166>=$C$9),ZOZNAM!A166,\"\")","v":"LO212"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!B166=\"\",\"\",ZOZNAM!B166),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!C166=\"\",\"\",ZOZNAM!C166),\"\")","v":"Introductory Macroeconomics"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!D166=\"\",\"\",ZOZNAM!D166),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!E166=\"\",\"\",ZOZNAM!E166),\"\")","v":15},{"$f":"IF($A175<>\"\",IF(ZOZNAM!F166=\"\",\"\",ZOZNAM!F166),\"\")","v":19},{"$f":"IF($A175<>\"\",IF(ZOZNAM!G166=\"\",\"\",ZOZNAM!G166),\"\")","v":"2019-07-08"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!H166=\"\",\"\",ZOZNAM!H166),\"\")","v":"2019-07-26"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!I166=\"\",\"\",ZOZNAM!I166),\"\")","v":"3 300 GBP"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!J166=\"\",\"\",ZOZNAM!J166),\"\")","v":""},{"$f":"IF($A175<>\"\",IF(ZOZNAM!K166=\"\",\"\",ZOZNAM!K166),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC102"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!L166=\"\",\"\",ZOZNAM!L166),\"\")","v":"This course takes both a short and a long-term view of the economy, and aims to help understand recent developments in macroeconomics using graphic analysis and simple algebra.\nIt focuses on the stylised facts of business cycle fluctuations, economic growth and unemployment; discusses what light modern macroeconomics can shed on these facts; and finally evaluates the scope for policy to improve macroeconomic performance."},{"$f":"IF($A175<>\"\",IF(ZOZNAM!M166=\"\",\"\",ZOZNAM!M166),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!N166=\"\",\"\",ZOZNAM!N166),\"\")","v":"nie"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!O166=\"\",\"\",ZOZNAM!O166),\"\")","v":"áno"},{"$f":"IF($A175<>\"\",IF(ZOZNAM!P166=\"\",\"\",ZOZNAM!P166),\"\")","v":""},{"$f":"IF($A175<>\"\",IF(ZOZNAM!Q166=\"\",\"\",ZOZNAM!Q166),\"\")","v":""},{"$f":"IF($A175<>\"\",IF(ZOZNAM!R166=\"\",\"\",ZOZNAM!R166),\"\")","v":""},{"$f":"IF($A175<>\"\",IF(ZOZNAM!S166=\"\",\"\",ZOZNAM!S166),\"\")","v":""},{"$f":"IF($A175<>\"\",IF(ZOZNAM!T166=\"\",\"\",ZOZNAM!T166),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C167)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C167)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C167)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C167)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C167)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C167)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L167)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L167)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L167)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L167)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L167)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L167)),FALSE))),ZOZNAM!G167>=$C$9),ZOZNAM!A167,\"\")","v":"LO213"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!B167=\"\",\"\",ZOZNAM!B167),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!C167=\"\",\"\",ZOZNAM!C167),\"\")","v":"Introduction to Behavioural Economics"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!D167=\"\",\"\",ZOZNAM!D167),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!E167=\"\",\"\",ZOZNAM!E167),\"\")","v":15},{"$f":"IF($A176<>\"\",IF(ZOZNAM!F167=\"\",\"\",ZOZNAM!F167),\"\")","v":19},{"$f":"IF($A176<>\"\",IF(ZOZNAM!G167=\"\",\"\",ZOZNAM!G167),\"\")","v":"2019-07-08"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!H167=\"\",\"\",ZOZNAM!H167),\"\")","v":"2019-07-26"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!I167=\"\",\"\",ZOZNAM!I167),\"\")","v":"3 300 GBP"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!J167=\"\",\"\",ZOZNAM!J167),\"\")","v":""},{"$f":"IF($A176<>\"\",IF(ZOZNAM!K167=\"\",\"\",ZOZNAM!K167),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC200"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!L167=\"\",\"\",ZOZNAM!L167),\"\")","v":"This course will provide students with a clear introduction to the principles and methods of Behavioural Economics. Behavioural economics considers the ways that people are more social, more impulsive, less adept at using information, and more susceptible to psychological biases than the standard economic models assume.  We will explore key departures, and the consequences for individuals, firms, and policy.\n-          To provide students with an introduction to the principles and methods of Behavioural Economics.\n-          To provide an overview of how behavioural principles have been applied to economic problems bo"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!M167=\"\",\"\",ZOZNAM!M167),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!N167=\"\",\"\",ZOZNAM!N167),\"\")","v":"nie"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!O167=\"\",\"\",ZOZNAM!O167),\"\")","v":"áno"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!P167=\"\",\"\",ZOZNAM!P167),\"\")","v":""},{"$f":"IF($A176<>\"\",IF(ZOZNAM!Q167=\"\",\"\",ZOZNAM!Q167),\"\")","v":2},{"$f":"IF($A176<>\"\",IF(ZOZNAM!R167=\"\",\"\",ZOZNAM!R167),\"\")","v":1},{"$f":"IF($A176<>\"\",IF(ZOZNAM!S167=\"\",\"\",ZOZNAM!S167),\"\")","v":"Pokročilým"},{"$f":"IF($A176<>\"\",IF(ZOZNAM!T167=\"\",\"\",ZOZNAM!T167),\"\")","v":"Na kurze prevažovala teória. Účastník kurz celkovo hodnotil pozitívne. (Hodnotenie kurzu bolo ovplyvnené zmenou prednášajúceho z dôvodu choroby, čo sa odrazilo na odbornosti.)"}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C168)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C168)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C168)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C168)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C168)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C168)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L168)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L168)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L168)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L168)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L168)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L168)),FALSE))),ZOZNAM!G168>=$C$9),ZOZNAM!A168,\"\")","v":"LO214"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!B168=\"\",\"\",ZOZNAM!B168),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!C168=\"\",\"\",ZOZNAM!C168),\"\")","v":"Intermediate Macroeconomics"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!D168=\"\",\"\",ZOZNAM!D168),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!E168=\"\",\"\",ZOZNAM!E168),\"\")","v":15},{"$f":"IF($A177<>\"\",IF(ZOZNAM!F168=\"\",\"\",ZOZNAM!F168),\"\")","v":19},{"$f":"IF($A177<>\"\",IF(ZOZNAM!G168=\"\",\"\",ZOZNAM!G168),\"\")","v":"2019-07-08"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!H168=\"\",\"\",ZOZNAM!H168),\"\")","v":"2019-07-26"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!I168=\"\",\"\",ZOZNAM!I168),\"\")","v":"3 300 GBP"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!J168=\"\",\"\",ZOZNAM!J168),\"\")","v":""},{"$f":"IF($A177<>\"\",IF(ZOZNAM!K168=\"\",\"\",ZOZNAM!K168),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC202"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!L168=\"\",\"\",ZOZNAM!L168),\"\")","v":"This course aims to bring you up to date with modern developments in macroeconomic theory and offer fresh perspectives on the macroeconomic challenges of the day. \n\nThe course is essentially structured around a series of key questions:\nWhat are the forces that drive long-term prosperity?\nWhat are the features of labour markets that make them special, and why does unemployment occur?\nHow should households and firms make plans for the future?\nWhat are the consequences of high levels of government debt?\nWhat are central banks and how do they control interest rates?\nWhat are the functions of financial markets, and why are financial crises so violent?\nWhy does economic activity fluctuate and what does austerity have to do with recessions?\nCan fiscal and monetary policy fine-tune the economy? \nThe approach of the course is to discuss the salient features of the data and then go on to present macroeconomic models to study these issues."},{"$f":"IF($A177<>\"\",IF(ZOZNAM!M168=\"\",\"\",ZOZNAM!M168),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!N168=\"\",\"\",ZOZNAM!N168),\"\")","v":"nie"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!O168=\"\",\"\",ZOZNAM!O168),\"\")","v":"áno"},{"$f":"IF($A177<>\"\",IF(ZOZNAM!P168=\"\",\"\",ZOZNAM!P168),\"\")","v":""},{"$f":"IF($A177<>\"\",IF(ZOZNAM!Q168=\"\",\"\",ZOZNAM!Q168),\"\")","v":""},{"$f":"IF($A177<>\"\",IF(ZOZNAM!R168=\"\",\"\",ZOZNAM!R168),\"\")","v":""},{"$f":"IF($A177<>\"\",IF(ZOZNAM!S168=\"\",\"\",ZOZNAM!S168),\"\")","v":""},{"$f":"IF($A177<>\"\",IF(ZOZNAM!T168=\"\",\"\",ZOZNAM!T168),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C169)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C169)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C169)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C169)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C169)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C169)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L169)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L169)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L169)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L169)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L169)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L169)),FALSE))),ZOZNAM!G169>=$C$9),ZOZNAM!A169,\"\")","v":"LO215"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!B169=\"\",\"\",ZOZNAM!B169),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!C169=\"\",\"\",ZOZNAM!C169),\"\")","v":"Environmental Economics & Sustainable Development"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!D169=\"\",\"\",ZOZNAM!D169),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!E169=\"\",\"\",ZOZNAM!E169),\"\")","v":15},{"$f":"IF($A178<>\"\",IF(ZOZNAM!F169=\"\",\"\",ZOZNAM!F169),\"\")","v":19},{"$f":"IF($A178<>\"\",IF(ZOZNAM!G169=\"\",\"\",ZOZNAM!G169),\"\")","v":"2019-07-08"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!H169=\"\",\"\",ZOZNAM!H169),\"\")","v":"2019-07-26"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!I169=\"\",\"\",ZOZNAM!I169),\"\")","v":"3 300 GBP"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!J169=\"\",\"\",ZOZNAM!J169),\"\")","v":""},{"$f":"IF($A178<>\"\",IF(ZOZNAM!K169=\"\",\"\",ZOZNAM!K169),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC240"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!L169=\"\",\"\",ZOZNAM!L169),\"\")","v":"Environmental economics is a comparatively young, but by now well-established, branch of economic study.\n\nIn successfully applying standard microeconomic analysis to the field of the natural environment and sustainable development, economists have challenged many erroneous, but strongly held preconceptions of policy makers and environmentalists alike. For example, the course will show that the efficient level of environmental pollution is, in general, not zero and that there is no risk of running out of fossil fuel non-renewable resources any time soon.\n\nConversely, however, policy makers fail to understand the fundamental drivers behind renewable resource extinction (particularly species loss), are over-optimistic when it comes to the environmental consequences of economic growth and insufficiently grasp the obstacles toward achieving strong multilateral agreements for solving international and global environmental problems."},{"$f":"IF($A178<>\"\",IF(ZOZNAM!M169=\"\",\"\",ZOZNAM!M169),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!N169=\"\",\"\",ZOZNAM!N169),\"\")","v":"nie"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!O169=\"\",\"\",ZOZNAM!O169),\"\")","v":"áno"},{"$f":"IF($A178<>\"\",IF(ZOZNAM!P169=\"\",\"\",ZOZNAM!P169),\"\")","v":""},{"$f":"IF($A178<>\"\",IF(ZOZNAM!Q169=\"\",\"\",ZOZNAM!Q169),\"\")","v":""},{"$f":"IF($A178<>\"\",IF(ZOZNAM!R169=\"\",\"\",ZOZNAM!R169),\"\")","v":""},{"$f":"IF($A178<>\"\",IF(ZOZNAM!S169=\"\",\"\",ZOZNAM!S169),\"\")","v":""},{"$f":"IF($A178<>\"\",IF(ZOZNAM!T169=\"\",\"\",ZOZNAM!T169),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C170)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C170)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C170)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C170)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C170)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C170)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L170)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L170)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L170)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L170)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L170)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L170)),FALSE))),ZOZNAM!G170>=$C$9),ZOZNAM!A170,\"\")","v":"LO216"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!B170=\"\",\"\",ZOZNAM!B170),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!C170=\"\",\"\",ZOZNAM!C170),\"\")","v":"The Political Economy of Public Policy"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!D170=\"\",\"\",ZOZNAM!D170),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!E170=\"\",\"\",ZOZNAM!E170),\"\")","v":15},{"$f":"IF($A179<>\"\",IF(ZOZNAM!F170=\"\",\"\",ZOZNAM!F170),\"\")","v":19},{"$f":"IF($A179<>\"\",IF(ZOZNAM!G170=\"\",\"\",ZOZNAM!G170),\"\")","v":"2019-07-08"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!H170=\"\",\"\",ZOZNAM!H170),\"\")","v":"2019-07-26"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!I170=\"\",\"\",ZOZNAM!I170),\"\")","v":"3 300 GBP"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!J170=\"\",\"\",ZOZNAM!J170),\"\")","v":""},{"$f":"IF($A179<>\"\",IF(ZOZNAM!K170=\"\",\"\",ZOZNAM!K170),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC260"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!L170=\"\",\"\",ZOZNAM!L170),\"\")","v":"This course enhances a student’s understanding of the characteristics, determinants and consequences of public-policy making in liberal democracies. \n\nIt provides theoretical foundations from both economics and political science, whilst developing an expansive knowledge of theoretical and applied areas of political economy."},{"$f":"IF($A179<>\"\",IF(ZOZNAM!M170=\"\",\"\",ZOZNAM!M170),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!N170=\"\",\"\",ZOZNAM!N170),\"\")","v":"nie"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!O170=\"\",\"\",ZOZNAM!O170),\"\")","v":"áno"},{"$f":"IF($A179<>\"\",IF(ZOZNAM!P170=\"\",\"\",ZOZNAM!P170),\"\")","v":""},{"$f":"IF($A179<>\"\",IF(ZOZNAM!Q170=\"\",\"\",ZOZNAM!Q170),\"\")","v":""},{"$f":"IF($A179<>\"\",IF(ZOZNAM!R170=\"\",\"\",ZOZNAM!R170),\"\")","v":""},{"$f":"IF($A179<>\"\",IF(ZOZNAM!S170=\"\",\"\",ZOZNAM!S170),\"\")","v":""},{"$f":"IF($A179<>\"\",IF(ZOZNAM!T170=\"\",\"\",ZOZNAM!T170),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C171)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C171)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C171)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C171)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C171)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C171)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L171)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L171)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L171)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L171)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L171)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L171)),FALSE))),ZOZNAM!G171>=$C$9),ZOZNAM!A171,\"\")","v":"LO217"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!B171=\"\",\"\",ZOZNAM!B171),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!C171=\"\",\"\",ZOZNAM!C171),\"\")","v":"Public Finance"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!D171=\"\",\"\",ZOZNAM!D171),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!E171=\"\",\"\",ZOZNAM!E171),\"\")","v":15},{"$f":"IF($A180<>\"\",IF(ZOZNAM!F171=\"\",\"\",ZOZNAM!F171),\"\")","v":19},{"$f":"IF($A180<>\"\",IF(ZOZNAM!G171=\"\",\"\",ZOZNAM!G171),\"\")","v":"2019-07-08"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!H171=\"\",\"\",ZOZNAM!H171),\"\")","v":"2019-07-26"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!I171=\"\",\"\",ZOZNAM!I171),\"\")","v":"3 300 GBP"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!J171=\"\",\"\",ZOZNAM!J171),\"\")","v":""},{"$f":"IF($A180<>\"\",IF(ZOZNAM!K171=\"\",\"\",ZOZNAM!K171),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC270"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!L171=\"\",\"\",ZOZNAM!L171),\"\")","v":"This course provides a broad, up-to-date introduction to the economic analysis of public policy issues.\nThe focus of the course, which draws on microeconomic theory, is on the development of analytical tools and their application to key policy issues relating to the spending, taxing and financing activities of government. Particular emphasis is given to recent developments in public economics, including findings from current research, in areas such as behavioural public economics, new empirical methods and policy innovations.\nThe course aims to give students an appreciation of the analytical methods in economics for the study of the public sector and the role of the state in principle and in practice; to provide a thorough grounding in the principles underlying the role of the state, the design of social insurance and the welfare state and the design of the tax system and to enable students to understand the practical problems involved in implementing these principles."},{"$f":"IF($A180<>\"\",IF(ZOZNAM!M171=\"\",\"\",ZOZNAM!M171),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!N171=\"\",\"\",ZOZNAM!N171),\"\")","v":"nie"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!O171=\"\",\"\",ZOZNAM!O171),\"\")","v":"áno"},{"$f":"IF($A180<>\"\",IF(ZOZNAM!P171=\"\",\"\",ZOZNAM!P171),\"\")","v":""},{"$f":"IF($A180<>\"\",IF(ZOZNAM!Q171=\"\",\"\",ZOZNAM!Q171),\"\")","v":""},{"$f":"IF($A180<>\"\",IF(ZOZNAM!R171=\"\",\"\",ZOZNAM!R171),\"\")","v":""},{"$f":"IF($A180<>\"\",IF(ZOZNAM!S171=\"\",\"\",ZOZNAM!S171),\"\")","v":""},{"$f":"IF($A180<>\"\",IF(ZOZNAM!T171=\"\",\"\",ZOZNAM!T171),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C172)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C172)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C172)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C172)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C172)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C172)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L172)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L172)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L172)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L172)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L172)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L172)),FALSE))),ZOZNAM!G172>=$C$9),ZOZNAM!A172,\"\")","v":"LO218"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!B172=\"\",\"\",ZOZNAM!B172),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!C172=\"\",\"\",ZOZNAM!C172),\"\")","v":"Development Economics"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!D172=\"\",\"\",ZOZNAM!D172),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!E172=\"\",\"\",ZOZNAM!E172),\"\")","v":15},{"$f":"IF($A181<>\"\",IF(ZOZNAM!F172=\"\",\"\",ZOZNAM!F172),\"\")","v":19},{"$f":"IF($A181<>\"\",IF(ZOZNAM!G172=\"\",\"\",ZOZNAM!G172),\"\")","v":"2019-07-08"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!H172=\"\",\"\",ZOZNAM!H172),\"\")","v":"2019-07-26"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!I172=\"\",\"\",ZOZNAM!I172),\"\")","v":"3 300 GBP"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!J172=\"\",\"\",ZOZNAM!J172),\"\")","v":""},{"$f":"IF($A181<>\"\",IF(ZOZNAM!K172=\"\",\"\",ZOZNAM!K172),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC307"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!L172=\"\",\"\",ZOZNAM!L172),\"\")","v":"This course will use all the skills students have developed as an economists to try answer important economic questions. Providing an answer is hard because solving the problem of world poverty is not as simple as reallocating income.\n\nIn short, solving world poverty requires finding places where an intervention can generate more in income than it costs. \n\nTheory tells us when markets will fail and we use econometrics analysis to find these places in the real world. Finally, we use rigorous impact evaluation to find out whether the intervention implied by theory works. Course will teach students all the tools they need to apply this thinking.\n\nProgramme structure:\nThe Neo-classical Model and Convergence of Income\nCoordination and Persistent Poverty\nCredit, Inequality in the Divergence of Incomes\nThe Psychology of Poverty\nHealth and Nutrition\nThe Role of Institutions in Development\nPolitical Economy and Corruption\nProperty Rights and Investment Incentives\nInternational Aid and Economic Growth\nMicrofinance\nCredit, Saving and Insurance\nLand Redistribution\nRole of Media and Policy in Development\nSocial Networks and Social Capital\nRole Regulation in Development\nIntrahousehold Allocations and Gender\nTechnology Adoption and Learning"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!M172=\"\",\"\",ZOZNAM!M172),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!N172=\"\",\"\",ZOZNAM!N172),\"\")","v":"nie"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!O172=\"\",\"\",ZOZNAM!O172),\"\")","v":"áno"},{"$f":"IF($A181<>\"\",IF(ZOZNAM!P172=\"\",\"\",ZOZNAM!P172),\"\")","v":""},{"$f":"IF($A181<>\"\",IF(ZOZNAM!Q172=\"\",\"\",ZOZNAM!Q172),\"\")","v":""},{"$f":"IF($A181<>\"\",IF(ZOZNAM!R172=\"\",\"\",ZOZNAM!R172),\"\")","v":""},{"$f":"IF($A181<>\"\",IF(ZOZNAM!S172=\"\",\"\",ZOZNAM!S172),\"\")","v":""},{"$f":"IF($A181<>\"\",IF(ZOZNAM!T172=\"\",\"\",ZOZNAM!T172),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C173)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C173)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C173)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C173)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C173)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C173)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L173)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L173)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L173)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L173)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L173)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L173)),FALSE))),ZOZNAM!G173>=$C$9),ZOZNAM!A173,\"\")","v":"LO219"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!B173=\"\",\"\",ZOZNAM!B173),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!C173=\"\",\"\",ZOZNAM!C173),\"\")","v":"Applied Econometrics and Big Data"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!D173=\"\",\"\",ZOZNAM!D173),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!E173=\"\",\"\",ZOZNAM!E173),\"\")","v":15},{"$f":"IF($A182<>\"\",IF(ZOZNAM!F173=\"\",\"\",ZOZNAM!F173),\"\")","v":19},{"$f":"IF($A182<>\"\",IF(ZOZNAM!G173=\"\",\"\",ZOZNAM!G173),\"\")","v":"2019-07-08"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!H173=\"\",\"\",ZOZNAM!H173),\"\")","v":"2019-07-26"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!I173=\"\",\"\",ZOZNAM!I173),\"\")","v":"3 300 GBP"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!J173=\"\",\"\",ZOZNAM!J173),\"\")","v":""},{"$f":"IF($A182<>\"\",IF(ZOZNAM!K173=\"\",\"\",ZOZNAM!K173),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC320"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!L173=\"\",\"\",ZOZNAM!L173),\"\")","v":"This course will provide a solid grounding in recent developments in applied micro-econometrics, including state-of-the art methods of applied econometric analysis.\nThe course will combine both analytical and computer-based (data) material to enable students to gain practical experience in analysing a wide variety of econometric problems. It will also discuss how modern data science approaches can be used to answer important economic questions. Students will be reading various applied economic papers which apply the techniques being taught. Applications that will be considered include labour, development, industrial organisation and finance.\n\nThe topics include analysis of matching methods, identification of average, local average and marginal treatment effects using instrumental variables, regression discontinuity, randomised control experiments, post-estimation diagnostics, cross section and panel data with static and dynamic models, binary choice models and binary classification methods in machine learning, maximum likelihood estimation, ridge regression, lasso regression, and principal component regression.\nLectures are complemented with computing exercises using real data in R or Stata."},{"$f":"IF($A182<>\"\",IF(ZOZNAM!M173=\"\",\"\",ZOZNAM!M173),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!N173=\"\",\"\",ZOZNAM!N173),\"\")","v":"nie"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!O173=\"\",\"\",ZOZNAM!O173),\"\")","v":"áno"},{"$f":"IF($A182<>\"\",IF(ZOZNAM!P173=\"\",\"\",ZOZNAM!P173),\"\")","v":""},{"$f":"IF($A182<>\"\",IF(ZOZNAM!Q173=\"\",\"\",ZOZNAM!Q173),\"\")","v":""},{"$f":"IF($A182<>\"\",IF(ZOZNAM!R173=\"\",\"\",ZOZNAM!R173),\"\")","v":""},{"$f":"IF($A182<>\"\",IF(ZOZNAM!S173=\"\",\"\",ZOZNAM!S173),\"\")","v":""},{"$f":"IF($A182<>\"\",IF(ZOZNAM!T173=\"\",\"\",ZOZNAM!T173),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C174)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C174)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C174)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C174)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C174)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C174)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L174)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L174)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L174)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L174)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L174)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L174)),FALSE))),ZOZNAM!G174>=$C$9),ZOZNAM!A174,\"\")","v":"LO220"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!B174=\"\",\"\",ZOZNAM!B174),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!C174=\"\",\"\",ZOZNAM!C174),\"\")","v":"Industrial Organisation & Introduction to Competition Policy"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!D174=\"\",\"\",ZOZNAM!D174),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!E174=\"\",\"\",ZOZNAM!E174),\"\")","v":15},{"$f":"IF($A183<>\"\",IF(ZOZNAM!F174=\"\",\"\",ZOZNAM!F174),\"\")","v":19},{"$f":"IF($A183<>\"\",IF(ZOZNAM!G174=\"\",\"\",ZOZNAM!G174),\"\")","v":"2019-07-08"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!H174=\"\",\"\",ZOZNAM!H174),\"\")","v":"2019-07-26"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!I174=\"\",\"\",ZOZNAM!I174),\"\")","v":"3 300 GBP"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!J174=\"\",\"\",ZOZNAM!J174),\"\")","v":""},{"$f":"IF($A183<>\"\",IF(ZOZNAM!K174=\"\",\"\",ZOZNAM!K174),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC341"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!L174=\"\",\"\",ZOZNAM!L174),\"\")","v":"Industrial organisation is concerned with the use of economic analysis in studying competition between firms and the evolution of market structure. This course will focus on understanding the way firms make decisions and the effects of those decisions on market outcomes like prices, quantities, the type of products offered, and social welfare.\n\nThe topics covered in this course span a wide range of issues, from predatory pricing to cartel stability, and from the role of non-price competition to the evolution of high technology industries.\n\nThe theoretical models introduced in the lectures will be applied in classes devoted to case studies of specific industries and to some antitrust court cases."},{"$f":"IF($A183<>\"\",IF(ZOZNAM!M174=\"\",\"\",ZOZNAM!M174),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!N174=\"\",\"\",ZOZNAM!N174),\"\")","v":"nie"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!O174=\"\",\"\",ZOZNAM!O174),\"\")","v":"áno"},{"$f":"IF($A183<>\"\",IF(ZOZNAM!P174=\"\",\"\",ZOZNAM!P174),\"\")","v":""},{"$f":"IF($A183<>\"\",IF(ZOZNAM!Q174=\"\",\"\",ZOZNAM!Q174),\"\")","v":""},{"$f":"IF($A183<>\"\",IF(ZOZNAM!R174=\"\",\"\",ZOZNAM!R174),\"\")","v":""},{"$f":"IF($A183<>\"\",IF(ZOZNAM!S174=\"\",\"\",ZOZNAM!S174),\"\")","v":""},{"$f":"IF($A183<>\"\",IF(ZOZNAM!T174=\"\",\"\",ZOZNAM!T174),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C175)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C175)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C175)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C175)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C175)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C175)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L175)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L175)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L175)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L175)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L175)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L175)),FALSE))),ZOZNAM!G175>=$C$9),ZOZNAM!A175,\"\")","v":"LO228"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!B175=\"\",\"\",ZOZNAM!B175),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!C175=\"\",\"\",ZOZNAM!C175),\"\")","v":"Further Statistics for Economics and Econometrics"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!D175=\"\",\"\",ZOZNAM!D175),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!E175=\"\",\"\",ZOZNAM!E175),\"\")","v":15},{"$f":"IF($A184<>\"\",IF(ZOZNAM!F175=\"\",\"\",ZOZNAM!F175),\"\")","v":19},{"$f":"IF($A184<>\"\",IF(ZOZNAM!G175=\"\",\"\",ZOZNAM!G175),\"\")","v":"2019-07-08"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!H175=\"\",\"\",ZOZNAM!H175),\"\")","v":"2019-07-26"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!I175=\"\",\"\",ZOZNAM!I175),\"\")","v":"3 300 GBP"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!J175=\"\",\"\",ZOZNAM!J175),\"\")","v":""},{"$f":"IF($A184<>\"\",IF(ZOZNAM!K175=\"\",\"\",ZOZNAM!K175),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME117"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!L175=\"\",\"\",ZOZNAM!L175),\"\")","v":"The course provides a precise and accurate treatment of probability, distribution theory and statistical inference.\nAs such there will be a strong emphasis on mathematical statistics as important discrete and continuous probability distributions are covered (such as the Binomial, Poisson, Uniform, Exponential and Normal distributions). Properties of these distributions will be investigated including use of the moment generating function.\n\nPoint estimation techniques are discussed including method of moments, maximum likelihood and least squares estimation. Statistical hypothesis testing and confidence interval construction follow, along with non-parametric and goodness-of-fit tests and contingency tables. A treatment of linear regression models, featuring the interpretation of computer-generated regression output and implications for prediction, rounds off the course."},{"$f":"IF($A184<>\"\",IF(ZOZNAM!M175=\"\",\"\",ZOZNAM!M175),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!N175=\"\",\"\",ZOZNAM!N175),\"\")","v":"nie"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!O175=\"\",\"\",ZOZNAM!O175),\"\")","v":"áno"},{"$f":"IF($A184<>\"\",IF(ZOZNAM!P175=\"\",\"\",ZOZNAM!P175),\"\")","v":""},{"$f":"IF($A184<>\"\",IF(ZOZNAM!Q175=\"\",\"\",ZOZNAM!Q175),\"\")","v":""},{"$f":"IF($A184<>\"\",IF(ZOZNAM!R175=\"\",\"\",ZOZNAM!R175),\"\")","v":""},{"$f":"IF($A184<>\"\",IF(ZOZNAM!S175=\"\",\"\",ZOZNAM!S175),\"\")","v":""},{"$f":"IF($A184<>\"\",IF(ZOZNAM!T175=\"\",\"\",ZOZNAM!T175),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C176)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C176)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C176)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C176)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C176)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C176)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L176)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L176)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L176)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L176)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L176)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L176)),FALSE))),ZOZNAM!G176>=$C$9),ZOZNAM!A176,\"\")","v":"LO229"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!B176=\"\",\"\",ZOZNAM!B176),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!C176=\"\",\"\",ZOZNAM!C176),\"\")","v":"Real Analysis"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!D176=\"\",\"\",ZOZNAM!D176),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!E176=\"\",\"\",ZOZNAM!E176),\"\")","v":15},{"$f":"IF($A185<>\"\",IF(ZOZNAM!F176=\"\",\"\",ZOZNAM!F176),\"\")","v":19},{"$f":"IF($A185<>\"\",IF(ZOZNAM!G176=\"\",\"\",ZOZNAM!G176),\"\")","v":"2019-07-08"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!H176=\"\",\"\",ZOZNAM!H176),\"\")","v":"2019-07-26"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!I176=\"\",\"\",ZOZNAM!I176),\"\")","v":"3 300 GBP"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!J176=\"\",\"\",ZOZNAM!J176),\"\")","v":""},{"$f":"IF($A185<>\"\",IF(ZOZNAM!K176=\"\",\"\",ZOZNAM!K176),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME306"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!L176=\"\",\"\",ZOZNAM!L176),\"\")","v":"In this course we shall develop concepts such as convergence, continuity, completeness, compactness and convexity in the settings of real numbers, Euclidean spaces, and more general metric spaces.\nA considerable part of economic theory is difficult to follow without a strong background in real analysis. For example, the concepts of compactness and convexity play an important role in optimisation theory and thus in microeconomics.  "},{"$f":"IF($A185<>\"\",IF(ZOZNAM!M176=\"\",\"\",ZOZNAM!M176),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!N176=\"\",\"\",ZOZNAM!N176),\"\")","v":"nie"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!O176=\"\",\"\",ZOZNAM!O176),\"\")","v":"áno"},{"$f":"IF($A185<>\"\",IF(ZOZNAM!P176=\"\",\"\",ZOZNAM!P176),\"\")","v":""},{"$f":"IF($A185<>\"\",IF(ZOZNAM!Q176=\"\",\"\",ZOZNAM!Q176),\"\")","v":""},{"$f":"IF($A185<>\"\",IF(ZOZNAM!R176=\"\",\"\",ZOZNAM!R176),\"\")","v":""},{"$f":"IF($A185<>\"\",IF(ZOZNAM!S176=\"\",\"\",ZOZNAM!S176),\"\")","v":""},{"$f":"IF($A185<>\"\",IF(ZOZNAM!T176=\"\",\"\",ZOZNAM!T176),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C177)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C177)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C177)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C177)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C177)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C177)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L177)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L177)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L177)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L177)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L177)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L177)),FALSE))),ZOZNAM!G177>=$C$9),ZOZNAM!A177,\"\")","v":"LO221"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!B177=\"\",\"\",ZOZNAM!B177),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!C177=\"\",\"\",ZOZNAM!C177),\"\")","v":"Introductory Microeconomics"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!D177=\"\",\"\",ZOZNAM!D177),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!E177=\"\",\"\",ZOZNAM!E177),\"\")","v":15},{"$f":"IF($A186<>\"\",IF(ZOZNAM!F177=\"\",\"\",ZOZNAM!F177),\"\")","v":19},{"$f":"IF($A186<>\"\",IF(ZOZNAM!G177=\"\",\"\",ZOZNAM!G177),\"\")","v":"2019-07-29"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!H177=\"\",\"\",ZOZNAM!H177),\"\")","v":"2019-08-16"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!I177=\"\",\"\",ZOZNAM!I177),\"\")","v":"3 300 GBP"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!J177=\"\",\"\",ZOZNAM!J177),\"\")","v":""},{"$f":"IF($A186<>\"\",IF(ZOZNAM!K177=\"\",\"\",ZOZNAM!K177),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC101"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!L177=\"\",\"\",ZOZNAM!L177),\"\")","v":"This course seeks to introduce microeconomic analysis as a way of understanding the world. It exposes students to standard microeconomic theory with a focus on the development of economic intuition, whilst also providing certain economic tools that support this intuition along the way.\n\nThe microeconomic mind-set helps students thinking about issues that are relevant empirically and for policy.\n\nThe course is aimed primarily at those who have not previously studied economics. It provides a foundation for further study in economics, but is sufficiently self-contained to provide grounding for those who do not intend to take the subject any further."},{"$f":"IF($A186<>\"\",IF(ZOZNAM!M177=\"\",\"\",ZOZNAM!M177),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!N177=\"\",\"\",ZOZNAM!N177),\"\")","v":"nie"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!O177=\"\",\"\",ZOZNAM!O177),\"\")","v":"áno"},{"$f":"IF($A186<>\"\",IF(ZOZNAM!P177=\"\",\"\",ZOZNAM!P177),\"\")","v":""},{"$f":"IF($A186<>\"\",IF(ZOZNAM!Q177=\"\",\"\",ZOZNAM!Q177),\"\")","v":""},{"$f":"IF($A186<>\"\",IF(ZOZNAM!R177=\"\",\"\",ZOZNAM!R177),\"\")","v":""},{"$f":"IF($A186<>\"\",IF(ZOZNAM!S177=\"\",\"\",ZOZNAM!S177),\"\")","v":""},{"$f":"IF($A186<>\"\",IF(ZOZNAM!T177=\"\",\"\",ZOZNAM!T177),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C178)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C178)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C178)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C178)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C178)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C178)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L178)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L178)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L178)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L178)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L178)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L178)),FALSE))),ZOZNAM!G178>=$C$9),ZOZNAM!A178,\"\")","v":"LO222"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!B178=\"\",\"\",ZOZNAM!B178),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!C178=\"\",\"\",ZOZNAM!C178),\"\")","v":"Introduction to Econometrics"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!D178=\"\",\"\",ZOZNAM!D178),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!E178=\"\",\"\",ZOZNAM!E178),\"\")","v":15},{"$f":"IF($A187<>\"\",IF(ZOZNAM!F178=\"\",\"\",ZOZNAM!F178),\"\")","v":19},{"$f":"IF($A187<>\"\",IF(ZOZNAM!G178=\"\",\"\",ZOZNAM!G178),\"\")","v":"2019-07-29"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!H178=\"\",\"\",ZOZNAM!H178),\"\")","v":"2019-08-16"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!I178=\"\",\"\",ZOZNAM!I178),\"\")","v":"3 300 GBP"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!J178=\"\",\"\",ZOZNAM!J178),\"\")","v":""},{"$f":"IF($A187<>\"\",IF(ZOZNAM!K178=\"\",\"\",ZOZNAM!K178),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC212"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!L178=\"\",\"\",ZOZNAM!L178),\"\")","v":"Programme structure:\nSimple Regression Analysis\nProperties of Regression Coefficients and Hypothesis Testing\nMultiple Regression Analysis\nTransformation of Variables\nSpecification of Regression Variables\nHeteroscedasticity\nStochastic Regressors and Measurement Errors\nSimultaneous Equations Estimation\nModelling Dynamic Processes\nAutocorrelation\nLogit and Probit (binary choice models)"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!M178=\"\",\"\",ZOZNAM!M178),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!N178=\"\",\"\",ZOZNAM!N178),\"\")","v":"nie"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!O178=\"\",\"\",ZOZNAM!O178),\"\")","v":"áno"},{"$f":"IF($A187<>\"\",IF(ZOZNAM!P178=\"\",\"\",ZOZNAM!P178),\"\")","v":""},{"$f":"IF($A187<>\"\",IF(ZOZNAM!Q178=\"\",\"\",ZOZNAM!Q178),\"\")","v":""},{"$f":"IF($A187<>\"\",IF(ZOZNAM!R178=\"\",\"\",ZOZNAM!R178),\"\")","v":""},{"$f":"IF($A187<>\"\",IF(ZOZNAM!S178=\"\",\"\",ZOZNAM!S178),\"\")","v":""},{"$f":"IF($A187<>\"\",IF(ZOZNAM!T178=\"\",\"\",ZOZNAM!T178),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C179)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C179)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C179)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C179)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C179)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C179)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L179)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L179)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L179)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L179)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L179)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L179)),FALSE))),ZOZNAM!G179>=$C$9),ZOZNAM!A179,\"\")","v":"LO223"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!B179=\"\",\"\",ZOZNAM!B179),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!C179=\"\",\"\",ZOZNAM!C179),\"\")","v":"Economics of European Integration"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!D179=\"\",\"\",ZOZNAM!D179),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!E179=\"\",\"\",ZOZNAM!E179),\"\")","v":15},{"$f":"IF($A188<>\"\",IF(ZOZNAM!F179=\"\",\"\",ZOZNAM!F179),\"\")","v":19},{"$f":"IF($A188<>\"\",IF(ZOZNAM!G179=\"\",\"\",ZOZNAM!G179),\"\")","v":"2019-07-29"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!H179=\"\",\"\",ZOZNAM!H179),\"\")","v":"2019-08-16"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!I179=\"\",\"\",ZOZNAM!I179),\"\")","v":"3 300 GBP"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!J179=\"\",\"\",ZOZNAM!J179),\"\")","v":""},{"$f":"IF($A188<>\"\",IF(ZOZNAM!K179=\"\",\"\",ZOZNAM!K179),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC235"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!L179=\"\",\"\",ZOZNAM!L179),\"\")","v":"This course introduces the main economic aspects of the current development of the European Union (EU) and its policies. The course covers the process of European Integration and its economic impacts on individuals, firms and regions.\n\nSpecial attention will be devoted to the analysis of the economic opportunities and challenges generated by economic integration, and to the assessment of the policies designed to support this process and mitigate its potential side-effects. \n\nThe course will touch on the institutional, political and historical background of European integration, though its main focus is on the economic analysis of the policies and prospects for the European Union. Some recent developments in the international policy agenda like sovereign debt crises, Brexit and the euro crisis will also be covered.\n"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!M179=\"\",\"\",ZOZNAM!M179),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!N179=\"\",\"\",ZOZNAM!N179),\"\")","v":"nie"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!O179=\"\",\"\",ZOZNAM!O179),\"\")","v":"áno"},{"$f":"IF($A188<>\"\",IF(ZOZNAM!P179=\"\",\"\",ZOZNAM!P179),\"\")","v":""},{"$f":"IF($A188<>\"\",IF(ZOZNAM!Q179=\"\",\"\",ZOZNAM!Q179),\"\")","v":""},{"$f":"IF($A188<>\"\",IF(ZOZNAM!R179=\"\",\"\",ZOZNAM!R179),\"\")","v":""},{"$f":"IF($A188<>\"\",IF(ZOZNAM!S179=\"\",\"\",ZOZNAM!S179),\"\")","v":""},{"$f":"IF($A188<>\"\",IF(ZOZNAM!T179=\"\",\"\",ZOZNAM!T179),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C180)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C180)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C180)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C180)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C180)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C180)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L180)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L180)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L180)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L180)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L180)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L180)),FALSE))),ZOZNAM!G180>=$C$9),ZOZNAM!A180,\"\")","v":"LO224"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!B180=\"\",\"\",ZOZNAM!B180),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!C180=\"\",\"\",ZOZNAM!C180),\"\")","v":"Advanced Econometrics"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!D180=\"\",\"\",ZOZNAM!D180),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!E180=\"\",\"\",ZOZNAM!E180),\"\")","v":15},{"$f":"IF($A189<>\"\",IF(ZOZNAM!F180=\"\",\"\",ZOZNAM!F180),\"\")","v":19},{"$f":"IF($A189<>\"\",IF(ZOZNAM!G180=\"\",\"\",ZOZNAM!G180),\"\")","v":"2019-07-29"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!H180=\"\",\"\",ZOZNAM!H180),\"\")","v":"2019-08-16"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!I180=\"\",\"\",ZOZNAM!I180),\"\")","v":"3 300 GBP"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!J180=\"\",\"\",ZOZNAM!J180),\"\")","v":""},{"$f":"IF($A189<>\"\",IF(ZOZNAM!K180=\"\",\"\",ZOZNAM!K180),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC312"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!L180=\"\",\"\",ZOZNAM!L180),\"\")","v":"This course will present an advanced treatment of econometric principles for cross-sectional, panel and time-series data sets.\nWhile concentrating on linear models, some non-linear cases will also be discussed, notably limited dependent variable models and generalised methods of moments.\nThe course focuses on modern econometric techniques, addressing both technical derivations and practical applications. Applications in the areas of microeconomics, macroeconomics and finance will be considered."},{"$f":"IF($A189<>\"\",IF(ZOZNAM!M180=\"\",\"\",ZOZNAM!M180),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!N180=\"\",\"\",ZOZNAM!N180),\"\")","v":"nie"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!O180=\"\",\"\",ZOZNAM!O180),\"\")","v":"áno"},{"$f":"IF($A189<>\"\",IF(ZOZNAM!P180=\"\",\"\",ZOZNAM!P180),\"\")","v":""},{"$f":"IF($A189<>\"\",IF(ZOZNAM!Q180=\"\",\"\",ZOZNAM!Q180),\"\")","v":2},{"$f":"IF($A189<>\"\",IF(ZOZNAM!R180=\"\",\"\",ZOZNAM!R180),\"\")","v":1},{"$f":"IF($A189<>\"\",IF(ZOZNAM!S180=\"\",\"\",ZOZNAM!S180),\"\")","v":""},{"$f":"IF($A189<>\"\",IF(ZOZNAM!T180=\"\",\"\",ZOZNAM!T180),\"\")","v":"Kurz sa venoval ekonometrii (OLS; GLS; MLE; Časové rady, nestacionarita a kointegrácia; Endogenita; IV modely; GMM, Panelové dáta, Úvod do kvintilových regresií). Každý deň je rozdelený do 2 častí - doobeda teória, poobede cvičenia. Kurz pokrýva pokročilé metódy v ekonometrii a čiastočne aj oblasť panelových dát. Navyše núti k priebežnému učeniu, keďže účastník absolvuje 2 skúšky."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C181)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C181)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C181)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C181)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C181)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C181)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L181)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L181)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L181)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L181)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L181)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L181)),FALSE))),ZOZNAM!G181>=$C$9),ZOZNAM!A181,\"\")","v":"LO225"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!B181=\"\",\"\",ZOZNAM!B181),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!C181=\"\",\"\",ZOZNAM!C181),\"\")","v":"Money and Banking"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!D181=\"\",\"\",ZOZNAM!D181),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!E181=\"\",\"\",ZOZNAM!E181),\"\")","v":15},{"$f":"IF($A190<>\"\",IF(ZOZNAM!F181=\"\",\"\",ZOZNAM!F181),\"\")","v":19},{"$f":"IF($A190<>\"\",IF(ZOZNAM!G181=\"\",\"\",ZOZNAM!G181),\"\")","v":"2019-07-29"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!H181=\"\",\"\",ZOZNAM!H181),\"\")","v":"2019-08-16"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!I181=\"\",\"\",ZOZNAM!I181),\"\")","v":"3 300 GBP"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!J181=\"\",\"\",ZOZNAM!J181),\"\")","v":""},{"$f":"IF($A190<>\"\",IF(ZOZNAM!K181=\"\",\"\",ZOZNAM!K181),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC321"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!L181=\"\",\"\",ZOZNAM!L181),\"\")","v":"This course aims to bring participants up to date with modern theories of money and banking and recent developments in the analysis of monetary policy.\n\nWhat are the causes of inflation and deflation? What tools do central banks have, and how does monetary policy affect the economy? How do financial markets work, and why are financial intermediaries needed? In order to answer these and related questions, this course provides a set of tools to analyse monetary policy and the financial sector. The course will combine a study of the relevant theory with applications to recent events and policy debates."},{"$f":"IF($A190<>\"\",IF(ZOZNAM!M181=\"\",\"\",ZOZNAM!M181),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!N181=\"\",\"\",ZOZNAM!N181),\"\")","v":"nie"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!O181=\"\",\"\",ZOZNAM!O181),\"\")","v":"áno"},{"$f":"IF($A190<>\"\",IF(ZOZNAM!P181=\"\",\"\",ZOZNAM!P181),\"\")","v":""},{"$f":"IF($A190<>\"\",IF(ZOZNAM!Q181=\"\",\"\",ZOZNAM!Q181),\"\")","v":""},{"$f":"IF($A190<>\"\",IF(ZOZNAM!R181=\"\",\"\",ZOZNAM!R181),\"\")","v":""},{"$f":"IF($A190<>\"\",IF(ZOZNAM!S181=\"\",\"\",ZOZNAM!S181),\"\")","v":""},{"$f":"IF($A190<>\"\",IF(ZOZNAM!T181=\"\",\"\",ZOZNAM!T181),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C182)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C182)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C182)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C182)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C182)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C182)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L182)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L182)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L182)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L182)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L182)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L182)),FALSE))),ZOZNAM!G182>=$C$9),ZOZNAM!A182,\"\")","v":"LO226"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!B182=\"\",\"\",ZOZNAM!B182),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!C182=\"\",\"\",ZOZNAM!C182),\"\")","v":"Introductory Macroeconomics"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!D182=\"\",\"\",ZOZNAM!D182),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!E182=\"\",\"\",ZOZNAM!E182),\"\")","v":15},{"$f":"IF($A191<>\"\",IF(ZOZNAM!F182=\"\",\"\",ZOZNAM!F182),\"\")","v":19},{"$f":"IF($A191<>\"\",IF(ZOZNAM!G182=\"\",\"\",ZOZNAM!G182),\"\")","v":"2019-07-29"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!H182=\"\",\"\",ZOZNAM!H182),\"\")","v":"2019-08-16"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!I182=\"\",\"\",ZOZNAM!I182),\"\")","v":"3 300 GBP"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!J182=\"\",\"\",ZOZNAM!J182),\"\")","v":""},{"$f":"IF($A191<>\"\",IF(ZOZNAM!K182=\"\",\"\",ZOZNAM!K182),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC102"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!L182=\"\",\"\",ZOZNAM!L182),\"\")","v":"This course takes both a short and a long-term view of the economy, and aims to help understand recent developments in macroeconomics using graphic analysis and simple algebra.\nIt focuses on the stylised facts of business cycle fluctuations, economic growth and unemployment; discusses what light modern macroeconomics can shed on these facts; and finally evaluates the scope for policy to improve macroeconomic performance."},{"$f":"IF($A191<>\"\",IF(ZOZNAM!M182=\"\",\"\",ZOZNAM!M182),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!N182=\"\",\"\",ZOZNAM!N182),\"\")","v":"nie"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!O182=\"\",\"\",ZOZNAM!O182),\"\")","v":"áno"},{"$f":"IF($A191<>\"\",IF(ZOZNAM!P182=\"\",\"\",ZOZNAM!P182),\"\")","v":""},{"$f":"IF($A191<>\"\",IF(ZOZNAM!Q182=\"\",\"\",ZOZNAM!Q182),\"\")","v":""},{"$f":"IF($A191<>\"\",IF(ZOZNAM!R182=\"\",\"\",ZOZNAM!R182),\"\")","v":""},{"$f":"IF($A191<>\"\",IF(ZOZNAM!S182=\"\",\"\",ZOZNAM!S182),\"\")","v":""},{"$f":"IF($A191<>\"\",IF(ZOZNAM!T182=\"\",\"\",ZOZNAM!T182),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C183)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C183)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C183)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C183)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C183)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C183)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L183)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L183)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L183)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L183)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L183)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L183)),FALSE))),ZOZNAM!G183>=$C$9),ZOZNAM!A183,\"\")","v":"LO230"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!B183=\"\",\"\",ZOZNAM!B183),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!C183=\"\",\"\",ZOZNAM!C183),\"\")","v":"Introduction to Data Science and Machine Learning"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!D183=\"\",\"\",ZOZNAM!D183),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!E183=\"\",\"\",ZOZNAM!E183),\"\")","v":15},{"$f":"IF($A192<>\"\",IF(ZOZNAM!F183=\"\",\"\",ZOZNAM!F183),\"\")","v":19},{"$f":"IF($A192<>\"\",IF(ZOZNAM!G183=\"\",\"\",ZOZNAM!G183),\"\")","v":"2019-07-29"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!H183=\"\",\"\",ZOZNAM!H183),\"\")","v":"2019-08-16"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!I183=\"\",\"\",ZOZNAM!I183),\"\")","v":"3 300 GBP"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!J183=\"\",\"\",ZOZNAM!J183),\"\")","v":""},{"$f":"IF($A192<>\"\",IF(ZOZNAM!K183=\"\",\"\",ZOZNAM!K183),\"\")","v":"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME314"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!L183=\"\",\"\",ZOZNAM!L183),\"\")","v":"This course integrates prior training in quantitative methods (statistics) and coding with substantive expertise and introduces the fundamental concepts and techniques of Data Science and Big Data Analytics.\n\nData Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. "},{"$f":"IF($A192<>\"\",IF(ZOZNAM!M183=\"\",\"\",ZOZNAM!M183),\"\")","v":"Students taking more than one course will be eligible for discounted rates as outlined below"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!N183=\"\",\"\",ZOZNAM!N183),\"\")","v":"nie"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!O183=\"\",\"\",ZOZNAM!O183),\"\")","v":"áno"},{"$f":"IF($A192<>\"\",IF(ZOZNAM!P183=\"\",\"\",ZOZNAM!P183),\"\")","v":""},{"$f":"IF($A192<>\"\",IF(ZOZNAM!Q183=\"\",\"\",ZOZNAM!Q183),\"\")","v":""},{"$f":"IF($A192<>\"\",IF(ZOZNAM!R183=\"\",\"\",ZOZNAM!R183),\"\")","v":""},{"$f":"IF($A192<>\"\",IF(ZOZNAM!S183=\"\",\"\",ZOZNAM!S183),\"\")","v":""},{"$f":"IF($A192<>\"\",IF(ZOZNAM!T183=\"\",\"\",ZOZNAM!T183),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C184)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C184)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C184)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C184)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C184)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C184)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L184)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L184)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L184)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L184)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L184)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L184)),FALSE))),ZOZNAM!G184>=$C$9),ZOZNAM!A184,\"\")","v":"LH001"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!B184=\"\",\"\",ZOZNAM!B184),\"\")","v":"London School of Hygiene and Tropical Medicine"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!C184=\"\",\"\",ZOZNAM!C184),\"\")","v":"Advanced Stata: Programming and other techniques to make your life easier"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!D184=\"\",\"\",ZOZNAM!D184),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!E184=\"\",\"\",ZOZNAM!E184),\"\")","v":5},{"$f":"IF($A193<>\"\",IF(ZOZNAM!F184=\"\",\"\",ZOZNAM!F184),\"\")","v":5},{"$f":"IF($A193<>\"\",IF(ZOZNAM!G184=\"\",\"\",ZOZNAM!G184),\"\")","v":"2019-11-04"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!H184=\"\",\"\",ZOZNAM!H184),\"\")","v":"2019-11-08"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!I184=\"\",\"\",ZOZNAM!I184),\"\")","v":"1395 GBP"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!J184=\"\",\"\",ZOZNAM!J184),\"\")","v":"2019-10-04"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!K184=\"\",\"\",ZOZNAM!K184),\"\")","v":"https://www.lshtm.ac.uk/study/courses/short-courses/advanced-stata#overview"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!L184=\"\",\"\",ZOZNAM!L184),\"\")","v":"The course can be divided broadly into three sections:\nData handling and manipulation\nStata has some powerful but simple commands for managing and manipulating data. We cover the commands needed to combine data from different datasets (appending and merging) and to rearrange data from wide format to long format. We will also cover searching for duplicate records, and managing these, reordering the variables in the dataset, generating summary variables and summary datasets.\n\nExport and presentation of results\n\nA general shortcoming of statistical software is the difficulty of producing bespoke and well-formatted results. The output in the Stata results window typically contains more detail than is required, and needs further formatting. Cutting and pasting is tedious when there are many results to present and inefficient when analyses have to be repeated.\n\nIt is possible to automatically output well formatted, concise and relevant results from Stata and there are number of ways to do this.  Stata has excellent graph capabilities and we show you how to make the most of these.  We teach a variety of methods to send the results you require, nicely formatted, to other datasets, to documents and spreadsheets and to text files.   This includes the use of commands within Stata, additional user-written Stata commands and some simple programming.\n\nProgramming Stata\n\nData cleaning, data management and the initial stages of many analyses can be repetitive and time consuming. Many of these repetitive tasks can be automated in Stata, which not only speeds up the process but also reduces the chances of making an error. We cover the use of basic programming techniques to assist you in quickly and efficiently carrying out repetitive tasks.  We also teach you to write a Stata program to create new Stata commands."},{"$f":"IF($A193<>\"\",IF(ZOZNAM!M184=\"\",\"\",ZOZNAM!M184),\"\")","v":""},{"$f":"IF($A193<>\"\",IF(ZOZNAM!N184=\"\",\"\",ZOZNAM!N184),\"\")","v":"nie"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!O184=\"\",\"\",ZOZNAM!O184),\"\")","v":"nie"},{"$f":"IF($A193<>\"\",IF(ZOZNAM!P184=\"\",\"\",ZOZNAM!P184),\"\")","v":""},{"$f":"IF($A193<>\"\",IF(ZOZNAM!Q184=\"\",\"\",ZOZNAM!Q184),\"\")","v":""},{"$f":"IF($A193<>\"\",IF(ZOZNAM!R184=\"\",\"\",ZOZNAM!R184),\"\")","v":""},{"$f":"IF($A193<>\"\",IF(ZOZNAM!S184=\"\",\"\",ZOZNAM!S184),\"\")","v":""},{"$f":"IF($A193<>\"\",IF(ZOZNAM!T184=\"\",\"\",ZOZNAM!T184),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C185)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C185)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C185)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C185)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C185)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C185)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L185)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L185)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L185)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L185)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L185)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L185)),FALSE))),ZOZNAM!G185>=$C$9),ZOZNAM!A185,\"\")","v":"MA233"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!B185=\"\",\"\",ZOZNAM!B185),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!C185=\"\",\"\",ZOZNAM!C185),\"\")","v":"Discrete choice analysis: Predicting individual behavior and market demand"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!D185=\"\",\"\",ZOZNAM!D185),\"\")","v":"Cambridge, USA"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!E185=\"\",\"\",ZOZNAM!E185),\"\")","v":5},{"$f":"IF($A194<>\"\",IF(ZOZNAM!F185=\"\",\"\",ZOZNAM!F185),\"\")","v":5},{"$f":"IF($A194<>\"\",IF(ZOZNAM!G185=\"\",\"\",ZOZNAM!G185),\"\")","v":"2019-06-10"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!H185=\"\",\"\",ZOZNAM!H185),\"\")","v":"2019-06-14"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!I185=\"\",\"\",ZOZNAM!I185),\"\")","v":"4 900 USD"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!J185=\"\",\"\",ZOZNAM!J185),\"\")","v":""},{"$f":"IF($A194<>\"\",IF(ZOZNAM!K185=\"\",\"\",ZOZNAM!K185),\"\")","v":"https://professional.mit.edu/programs/short-programs/discrete-choice-analysis"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!L185=\"\",\"\",ZOZNAM!L185),\"\")","v":"Participant Takeaways:\nUnderstanding discrete choice models and their applications.\nLearning to apply new discrete choice techniques.\nUnderstanding problems of data collection, model formulation, estimation, testing, and forecasting, as learned through case studies of discrete choice methods.\nUtilizing commonly available software to estimate and test discrete choice models from real databases."},{"$f":"IF($A194<>\"\",IF(ZOZNAM!M185=\"\",\"\",ZOZNAM!M185),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A194<>\"\",IF(ZOZNAM!N185=\"\",\"\",ZOZNAM!N185),\"\")","v":"nie"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!O185=\"\",\"\",ZOZNAM!O185),\"\")","v":"nie"},{"$f":"IF($A194<>\"\",IF(ZOZNAM!P185=\"\",\"\",ZOZNAM!P185),\"\")","v":""},{"$f":"IF($A194<>\"\",IF(ZOZNAM!Q185=\"\",\"\",ZOZNAM!Q185),\"\")","v":""},{"$f":"IF($A194<>\"\",IF(ZOZNAM!R185=\"\",\"\",ZOZNAM!R185),\"\")","v":""},{"$f":"IF($A194<>\"\",IF(ZOZNAM!S185=\"\",\"\",ZOZNAM!S185),\"\")","v":""},{"$f":"IF($A194<>\"\",IF(ZOZNAM!T185=\"\",\"\",ZOZNAM!T185),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C186)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C186)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C186)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C186)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C186)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C186)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L186)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L186)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L186)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L186)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L186)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L186)),FALSE))),ZOZNAM!G186>=$C$9),ZOZNAM!A186,\"\")","v":"MA231"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!B186=\"\",\"\",ZOZNAM!B186),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!C186=\"\",\"\",ZOZNAM!C186),\"\")","v":"Machine learning for big data and text processing: Foundations"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!D186=\"\",\"\",ZOZNAM!D186),\"\")","v":"Cambridge, USA"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!E186=\"\",\"\",ZOZNAM!E186),\"\")","v":2},{"$f":"IF($A195<>\"\",IF(ZOZNAM!F186=\"\",\"\",ZOZNAM!F186),\"\")","v":2},{"$f":"IF($A195<>\"\",IF(ZOZNAM!G186=\"\",\"\",ZOZNAM!G186),\"\")","v":"2019-06-17"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!H186=\"\",\"\",ZOZNAM!H186),\"\")","v":"2019-06-18"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!I186=\"\",\"\",ZOZNAM!I186),\"\")","v":"2 500 USD"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!J186=\"\",\"\",ZOZNAM!J186),\"\")","v":""},{"$f":"IF($A195<>\"\",IF(ZOZNAM!K186=\"\",\"\",ZOZNAM!K186),\"\")","v":"https://professional.mit.edu/programs/short-programs/machine-learning-big-data"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!L186=\"\",\"\",ZOZNAM!L186),\"\")","v":"Participant Takeaways:\nUnderstand the basic machine learning concepts and methods including neural networks\nLearn how to formulate/set up problems as machine learning tasks\nAssess which types of methods are likely to be useful for a given class of problems\nUnderstand strengths and weakness of learning algorithms"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!M186=\"\",\"\",ZOZNAM!M186),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A195<>\"\",IF(ZOZNAM!N186=\"\",\"\",ZOZNAM!N186),\"\")","v":"nie"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!O186=\"\",\"\",ZOZNAM!O186),\"\")","v":"nie"},{"$f":"IF($A195<>\"\",IF(ZOZNAM!P186=\"\",\"\",ZOZNAM!P186),\"\")","v":""},{"$f":"IF($A195<>\"\",IF(ZOZNAM!Q186=\"\",\"\",ZOZNAM!Q186),\"\")","v":""},{"$f":"IF($A195<>\"\",IF(ZOZNAM!R186=\"\",\"\",ZOZNAM!R186),\"\")","v":""},{"$f":"IF($A195<>\"\",IF(ZOZNAM!S186=\"\",\"\",ZOZNAM!S186),\"\")","v":""},{"$f":"IF($A195<>\"\",IF(ZOZNAM!T186=\"\",\"\",ZOZNAM!T186),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C187)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C187)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C187)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C187)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C187)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C187)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L187)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L187)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L187)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L187)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L187)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L187)),FALSE))),ZOZNAM!G187>=$C$9),ZOZNAM!A187,\"\")","v":"MA232"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!B187=\"\",\"\",ZOZNAM!B187),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!C187=\"\",\"\",ZOZNAM!C187),\"\")","v":"Advanced machine learning for big data and text processing"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!D187=\"\",\"\",ZOZNAM!D187),\"\")","v":"Cambridge, USA"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!E187=\"\",\"\",ZOZNAM!E187),\"\")","v":3},{"$f":"IF($A196<>\"\",IF(ZOZNAM!F187=\"\",\"\",ZOZNAM!F187),\"\")","v":3},{"$f":"IF($A196<>\"\",IF(ZOZNAM!G187=\"\",\"\",ZOZNAM!G187),\"\")","v":"2019-06-19"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!H187=\"\",\"\",ZOZNAM!H187),\"\")","v":"2019-06-21"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!I187=\"\",\"\",ZOZNAM!I187),\"\")","v":"3 000 USD"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!J187=\"\",\"\",ZOZNAM!J187),\"\")","v":""},{"$f":"IF($A196<>\"\",IF(ZOZNAM!K187=\"\",\"\",ZOZNAM!K187),\"\")","v":"https://professional.mit.edu/programs/short-programs/advanced-machine-learning"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!L187=\"\",\"\",ZOZNAM!L187),\"\")","v":"Participant Takeaways:\nUnderstand broad opportunities for automation with machine learning\nOutline key aspects of practical problems that are likely to impact performance\nExplore modern natural language processing tools, formulations, and problems\nBe able to discuss scaling issues (amount of data, dimensionality, storage, and computation)\nSee through the process of applying machine learning methods in practice, foresee likely hurdles and possible remedies\nGrasp what predictive analytics often does not provide\nUnderstand current machine learning trends and opportunities that they bring"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!M187=\"\",\"\",ZOZNAM!M187),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A196<>\"\",IF(ZOZNAM!N187=\"\",\"\",ZOZNAM!N187),\"\")","v":"nie"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!O187=\"\",\"\",ZOZNAM!O187),\"\")","v":"nie"},{"$f":"IF($A196<>\"\",IF(ZOZNAM!P187=\"\",\"\",ZOZNAM!P187),\"\")","v":""},{"$f":"IF($A196<>\"\",IF(ZOZNAM!Q187=\"\",\"\",ZOZNAM!Q187),\"\")","v":""},{"$f":"IF($A196<>\"\",IF(ZOZNAM!R187=\"\",\"\",ZOZNAM!R187),\"\")","v":""},{"$f":"IF($A196<>\"\",IF(ZOZNAM!S187=\"\",\"\",ZOZNAM!S187),\"\")","v":""},{"$f":"IF($A196<>\"\",IF(ZOZNAM!T187=\"\",\"\",ZOZNAM!T187),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C188)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C188)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C188)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C188)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C188)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C188)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L188)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L188)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L188)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L188)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L188)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L188)),FALSE))),ZOZNAM!G188>=$C$9),ZOZNAM!A188,\"\")","v":"MA234"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!B188=\"\",\"\",ZOZNAM!B188),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!C188=\"\",\"\",ZOZNAM!C188),\"\")","v":"Machine learning for healthcare"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!D188=\"\",\"\",ZOZNAM!D188),\"\")","v":"Cambridge, USA"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!E188=\"\",\"\",ZOZNAM!E188),\"\")","v":2},{"$f":"IF($A197<>\"\",IF(ZOZNAM!F188=\"\",\"\",ZOZNAM!F188),\"\")","v":2},{"$f":"IF($A197<>\"\",IF(ZOZNAM!G188=\"\",\"\",ZOZNAM!G188),\"\")","v":"2019-06-24"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!H188=\"\",\"\",ZOZNAM!H188),\"\")","v":"2019-06-25"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!I188=\"\",\"\",ZOZNAM!I188),\"\")","v":"2 500 USD"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!J188=\"\",\"\",ZOZNAM!J188),\"\")","v":""},{"$f":"IF($A197<>\"\",IF(ZOZNAM!K188=\"\",\"\",ZOZNAM!K188),\"\")","v":"https://professional.mit.edu/programs/short-programs/machine-learning-healthcare"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!L188=\"\",\"\",ZOZNAM!L188),\"\")","v":"Participant Takeaways:\nUnderstand current ML trends and opportunities that they bring in healthcare\nOutline practical problems that impact the application\nSee how to break down data silos between patients, providers and payers\nDiscover how to deploy ML to improve patient outcomes and/or impact the financial performance of your organization\nGrasp what predictive analytics often does not provide"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!M188=\"\",\"\",ZOZNAM!M188),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A197<>\"\",IF(ZOZNAM!N188=\"\",\"\",ZOZNAM!N188),\"\")","v":"nie"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!O188=\"\",\"\",ZOZNAM!O188),\"\")","v":"nie"},{"$f":"IF($A197<>\"\",IF(ZOZNAM!P188=\"\",\"\",ZOZNAM!P188),\"\")","v":""},{"$f":"IF($A197<>\"\",IF(ZOZNAM!Q188=\"\",\"\",ZOZNAM!Q188),\"\")","v":""},{"$f":"IF($A197<>\"\",IF(ZOZNAM!R188=\"\",\"\",ZOZNAM!R188),\"\")","v":""},{"$f":"IF($A197<>\"\",IF(ZOZNAM!S188=\"\",\"\",ZOZNAM!S188),\"\")","v":""},{"$f":"IF($A197<>\"\",IF(ZOZNAM!T188=\"\",\"\",ZOZNAM!T188),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C189)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C189)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C189)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C189)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C189)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C189)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L189)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L189)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L189)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L189)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L189)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L189)),FALSE))),ZOZNAM!G189>=$C$9),ZOZNAM!A189,\"\")","v":"MA235"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!B189=\"\",\"\",ZOZNAM!B189),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!C189=\"\",\"\",ZOZNAM!C189),\"\")","v":"Data and models: Regression analytics"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!D189=\"\",\"\",ZOZNAM!D189),\"\")","v":"Cambridge, USA"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!E189=\"\",\"\",ZOZNAM!E189),\"\")","v":5},{"$f":"IF($A198<>\"\",IF(ZOZNAM!F189=\"\",\"\",ZOZNAM!F189),\"\")","v":5},{"$f":"IF($A198<>\"\",IF(ZOZNAM!G189=\"\",\"\",ZOZNAM!G189),\"\")","v":"2019-07-08"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!H189=\"\",\"\",ZOZNAM!H189),\"\")","v":"2019-07-12"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!I189=\"\",\"\",ZOZNAM!I189),\"\")","v":"4 300 USD"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!J189=\"\",\"\",ZOZNAM!J189),\"\")","v":""},{"$f":"IF($A198<>\"\",IF(ZOZNAM!K189=\"\",\"\",ZOZNAM!K189),\"\")","v":"https://professional.mit.edu/programs/short-programs/data-and-models"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!L189=\"\",\"\",ZOZNAM!L189),\"\")","v":"Participant Takeaways:\nExamining how to fit data to models\nDefining linear least squares, non-linear least squares, singular value decomposition, sensitivity analysis, experiment design, and parameter error estimation\nAppreciating grid search, random search, simulated annealing, genetic algorithms, neural networks, and large inverse systems\nInvestigating principles leading to rapid application of methods\nEvaluating the results of pre-programmed computer exercises"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!M189=\"\",\"\",ZOZNAM!M189),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A198<>\"\",IF(ZOZNAM!N189=\"\",\"\",ZOZNAM!N189),\"\")","v":"nie"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!O189=\"\",\"\",ZOZNAM!O189),\"\")","v":"nie"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!P189=\"\",\"\",ZOZNAM!P189),\"\")","v":""},{"$f":"IF($A198<>\"\",IF(ZOZNAM!Q189=\"\",\"\",ZOZNAM!Q189),\"\")","v":3},{"$f":"IF($A198<>\"\",IF(ZOZNAM!R189=\"\",\"\",ZOZNAM!R189),\"\")","v":1},{"$f":"IF($A198<>\"\",IF(ZOZNAM!S189=\"\",\"\",ZOZNAM!S189),\"\")","v":"Pokročilým"},{"$f":"IF($A198<>\"\",IF(ZOZNAM!T189=\"\",\"\",ZOZNAM!T189),\"\")","v":"Kurz je kvalitný, ale z obsahovej stránky je vhodný skôr pre výskumníkov. Účastník z tohto dôvodu nebol spokojný s výberom kurzu."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C190)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C190)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C190)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C190)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C190)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C190)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L190)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L190)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L190)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L190)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L190)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L190)),FALSE))),ZOZNAM!G190>=$C$9),ZOZNAM!A190,\"\")","v":"MA236"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!B190=\"\",\"\",ZOZNAM!B190),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!C190=\"\",\"\",ZOZNAM!C190),\"\")","v":"Understanding and predicting technological innovation: New data and theory"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!D190=\"\",\"\",ZOZNAM!D190),\"\")","v":"Cambridge, USA"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!E190=\"\",\"\",ZOZNAM!E190),\"\")","v":5},{"$f":"IF($A199<>\"\",IF(ZOZNAM!F190=\"\",\"\",ZOZNAM!F190),\"\")","v":5},{"$f":"IF($A199<>\"\",IF(ZOZNAM!G190=\"\",\"\",ZOZNAM!G190),\"\")","v":"2019-07-22"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!H190=\"\",\"\",ZOZNAM!H190),\"\")","v":"2019-07-26"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!I190=\"\",\"\",ZOZNAM!I190),\"\")","v":"4 100 USD"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!J190=\"\",\"\",ZOZNAM!J190),\"\")","v":""},{"$f":"IF($A199<>\"\",IF(ZOZNAM!K190=\"\",\"\",ZOZNAM!K190),\"\")","v":"https://professional.mit.edu/programs/short-programs/understanding-predicting-technological-innovation"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!L190=\"\",\"\",ZOZNAM!L190),\"\")","v":"Participant Takeaways:\nDeveloping understanding of how large data sets at various levels of detail can be used to gain insight on the dynamics of technological innovation\nLearning how to compare the rate of progress of various technologies and products\nUnderstanding the state of the art in theories of technological innovation, and their utility for particular questions faced in private industry and the public sector\nLearning how to apply data analysis and theory to guide investment and design decisions\nGaining insight on technological innovation-related decisions faced in designing financial portfolios, research and development portfolios, and public policy"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!M190=\"\",\"\",ZOZNAM!M190),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A199<>\"\",IF(ZOZNAM!N190=\"\",\"\",ZOZNAM!N190),\"\")","v":"nie"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!O190=\"\",\"\",ZOZNAM!O190),\"\")","v":"nie"},{"$f":"IF($A199<>\"\",IF(ZOZNAM!P190=\"\",\"\",ZOZNAM!P190),\"\")","v":""},{"$f":"IF($A199<>\"\",IF(ZOZNAM!Q190=\"\",\"\",ZOZNAM!Q190),\"\")","v":""},{"$f":"IF($A199<>\"\",IF(ZOZNAM!R190=\"\",\"\",ZOZNAM!R190),\"\")","v":""},{"$f":"IF($A199<>\"\",IF(ZOZNAM!S190=\"\",\"\",ZOZNAM!S190),\"\")","v":""},{"$f":"IF($A199<>\"\",IF(ZOZNAM!T190=\"\",\"\",ZOZNAM!T190),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C191)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C191)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C191)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C191)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C191)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C191)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L191)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L191)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L191)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L191)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L191)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L191)),FALSE))),ZOZNAM!G191>=$C$9),ZOZNAM!A191,\"\")","v":"MA237"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!B191=\"\",\"\",ZOZNAM!B191),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!C191=\"\",\"\",ZOZNAM!C191),\"\")","v":"Design and analysis of experiments"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!D191=\"\",\"\",ZOZNAM!D191),\"\")","v":"Cambridge, USA"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!E191=\"\",\"\",ZOZNAM!E191),\"\")","v":5},{"$f":"IF($A200<>\"\",IF(ZOZNAM!F191=\"\",\"\",ZOZNAM!F191),\"\")","v":5},{"$f":"IF($A200<>\"\",IF(ZOZNAM!G191=\"\",\"\",ZOZNAM!G191),\"\")","v":"2019-07-29"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!H191=\"\",\"\",ZOZNAM!H191),\"\")","v":"2019-08-02"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!I191=\"\",\"\",ZOZNAM!I191),\"\")","v":"4 300 USD"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!J191=\"\",\"\",ZOZNAM!J191),\"\")","v":""},{"$f":"IF($A200<>\"\",IF(ZOZNAM!K191=\"\",\"\",ZOZNAM!K191),\"\")","v":"https://professional.mit.edu/programs/short-programs/design-and-analysis-experiments"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!L191=\"\",\"\",ZOZNAM!L191),\"\")","v":"Participant Takeaways:\nDescribe how to design experiments, carry them out, and analyze the data they yield.\nUnderstand the process of designing an experiment including factorial and fractional factorial designs.\nExamine how a factorial design allows cost reduction, increases efficiency of experimentation, and reveals the essential nature of a process; and discuss its advantages to those who conduct the experiments as well as those to whom the results are reported.\nInvestigate the logic of hypothesis testing, including analysis of variance and the detailed analysis of experimental data.\nFormulate understanding of the subject using real examples, including experimentation in the social and economic sciences.\nIntroduce Taguchi methods, and compare and contrast them with more traditional techniques.\nLearn the technique of regression analysis, and how it compares and contrasts with other techniques studied in the course.\nUnderstand the role of response surface methodology and its basic underpinnings.\nGain an understanding of how the analysis of experimental design data is carried out using the most common software packages."},{"$f":"IF($A200<>\"\",IF(ZOZNAM!M191=\"\",\"\",ZOZNAM!M191),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A200<>\"\",IF(ZOZNAM!N191=\"\",\"\",ZOZNAM!N191),\"\")","v":"nie"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!O191=\"\",\"\",ZOZNAM!O191),\"\")","v":"nie"},{"$f":"IF($A200<>\"\",IF(ZOZNAM!P191=\"\",\"\",ZOZNAM!P191),\"\")","v":""},{"$f":"IF($A200<>\"\",IF(ZOZNAM!Q191=\"\",\"\",ZOZNAM!Q191),\"\")","v":""},{"$f":"IF($A200<>\"\",IF(ZOZNAM!R191=\"\",\"\",ZOZNAM!R191),\"\")","v":""},{"$f":"IF($A200<>\"\",IF(ZOZNAM!S191=\"\",\"\",ZOZNAM!S191),\"\")","v":""},{"$f":"IF($A200<>\"\",IF(ZOZNAM!T191=\"\",\"\",ZOZNAM!T191),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C192)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C192)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C192)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C192)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C192)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C192)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L192)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L192)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L192)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L192)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L192)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L192)),FALSE))),ZOZNAM!G192>=$C$9),ZOZNAM!A192,\"\")","v":"MA238"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!B192=\"\",\"\",ZOZNAM!B192),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!C192=\"\",\"\",ZOZNAM!C192),\"\")","v":"Transportation networks and smart mobility: Methods and solutions"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!D192=\"\",\"\",ZOZNAM!D192),\"\")","v":"Cambridge, USA"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!E192=\"\",\"\",ZOZNAM!E192),\"\")","v":5},{"$f":"IF($A201<>\"\",IF(ZOZNAM!F192=\"\",\"\",ZOZNAM!F192),\"\")","v":5},{"$f":"IF($A201<>\"\",IF(ZOZNAM!G192=\"\",\"\",ZOZNAM!G192),\"\")","v":"2019-08-05"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!H192=\"\",\"\",ZOZNAM!H192),\"\")","v":"2019-08-09"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!I192=\"\",\"\",ZOZNAM!I192),\"\")","v":"3 600 USD"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!J192=\"\",\"\",ZOZNAM!J192),\"\")","v":""},{"$f":"IF($A201<>\"\",IF(ZOZNAM!K192=\"\",\"\",ZOZNAM!K192),\"\")","v":"https://professional.mit.edu/programs/short-programs/transportation-networks"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!L192=\"\",\"\",ZOZNAM!L192),\"\")","v":"Participant Takeaways:\nUnderstand transportation network demand and supply models.\nDistinguish among alternative approaches to dynamic traffic assignment and traffic simulation.\nAssess the advantages and disadvantages of alternative network modeling and simulation methods."},{"$f":"IF($A201<>\"\",IF(ZOZNAM!M192=\"\",\"\",ZOZNAM!M192),\"\")","v":"It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open."},{"$f":"IF($A201<>\"\",IF(ZOZNAM!N192=\"\",\"\",ZOZNAM!N192),\"\")","v":"nie"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!O192=\"\",\"\",ZOZNAM!O192),\"\")","v":"nie"},{"$f":"IF($A201<>\"\",IF(ZOZNAM!P192=\"\",\"\",ZOZNAM!P192),\"\")","v":""},{"$f":"IF($A201<>\"\",IF(ZOZNAM!Q192=\"\",\"\",ZOZNAM!Q192),\"\")","v":""},{"$f":"IF($A201<>\"\",IF(ZOZNAM!R192=\"\",\"\",ZOZNAM!R192),\"\")","v":""},{"$f":"IF($A201<>\"\",IF(ZOZNAM!S192=\"\",\"\",ZOZNAM!S192),\"\")","v":""},{"$f":"IF($A201<>\"\",IF(ZOZNAM!T192=\"\",\"\",ZOZNAM!T192),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C193)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C193)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C193)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C193)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C193)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C193)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L193)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L193)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L193)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L193)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L193)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L193)),FALSE))),ZOZNAM!G193>=$C$9),ZOZNAM!A193,\"\")","v":"PA239"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!B193=\"\",\"\",ZOZNAM!B193),\"\")","v":"Paris School of Economics"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!C193=\"\",\"\",ZOZNAM!C193),\"\")","v":"MACROECONOMICS - Macroeconomic Analysis and Policy"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!D193=\"\",\"\",ZOZNAM!D193),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!E193=\"\",\"\",ZOZNAM!E193),\"\")","v":5},{"$f":"IF($A202<>\"\",IF(ZOZNAM!F193=\"\",\"\",ZOZNAM!F193),\"\")","v":5},{"$f":"IF($A202<>\"\",IF(ZOZNAM!G193=\"\",\"\",ZOZNAM!G193),\"\")","v":"2019-06-17"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!H193=\"\",\"\",ZOZNAM!H193),\"\")","v":"2019-06-21"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!I193=\"\",\"\",ZOZNAM!I193),\"\")","v":"2 000 EUR"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!J193=\"\",\"\",ZOZNAM!J193),\"\")","v":"2019-05-31"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!K193=\"\",\"\",ZOZNAM!K193),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/macroeconomics/"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!L193=\"\",\"\",ZOZNAM!L193),\"\")","v":"Course deals with topics at the frontier of policy-relevant research: monetary and fiscal policy; heterogeneous households, inequality and redistribution (“HANK” models); financial crises; bubbles; labor markets and unemployment; and international linkages.\n\nThe cours is taught by leading research and teaching figures in their respective fields. Emphasis is put on introducing tools and developing intuition. The course reviews core, standard models useful for understanding crises and recessions, and the role of policy therein."},{"$f":"IF($A202<>\"\",IF(ZOZNAM!M193=\"\",\"\",ZOZNAM!M193),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A202<>\"\",IF(ZOZNAM!N193=\"\",\"\",ZOZNAM!N193),\"\")","v":"nie"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!O193=\"\",\"\",ZOZNAM!O193),\"\")","v":"nie"},{"$f":"IF($A202<>\"\",IF(ZOZNAM!P193=\"\",\"\",ZOZNAM!P193),\"\")","v":1},{"$f":"IF($A202<>\"\",IF(ZOZNAM!Q193=\"\",\"\",ZOZNAM!Q193),\"\")","v":""},{"$f":"IF($A202<>\"\",IF(ZOZNAM!R193=\"\",\"\",ZOZNAM!R193),\"\")","v":""},{"$f":"IF($A202<>\"\",IF(ZOZNAM!S193=\"\",\"\",ZOZNAM!S193),\"\")","v":""},{"$f":"IF($A202<>\"\",IF(ZOZNAM!T193=\"\",\"\",ZOZNAM!T193),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C194)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C194)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C194)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C194)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C194)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C194)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L194)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L194)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L194)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L194)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L194)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L194)),FALSE))),ZOZNAM!G194>=$C$9),ZOZNAM!A194,\"\")","v":"PA240"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!B194=\"\",\"\",ZOZNAM!B194),\"\")","v":"Paris School of Economics"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!C194=\"\",\"\",ZOZNAM!C194),\"\")","v":"MICROECONOMETRICS and Policy Evaluation"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!D194=\"\",\"\",ZOZNAM!D194),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!E194=\"\",\"\",ZOZNAM!E194),\"\")","v":5},{"$f":"IF($A203<>\"\",IF(ZOZNAM!F194=\"\",\"\",ZOZNAM!F194),\"\")","v":5},{"$f":"IF($A203<>\"\",IF(ZOZNAM!G194=\"\",\"\",ZOZNAM!G194),\"\")","v":"2019-06-17"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!H194=\"\",\"\",ZOZNAM!H194),\"\")","v":"2019-06-21"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!I194=\"\",\"\",ZOZNAM!I194),\"\")","v":"2 000 EUR"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!J194=\"\",\"\",ZOZNAM!J194),\"\")","v":"2019-05-31"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!K194=\"\",\"\",ZOZNAM!K194),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/microeconometrics/"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!L194=\"\",\"\",ZOZNAM!L194),\"\")","v":"The course introduces the main methods currently used for program evaluation. Students will also attend practice classes in STATA, according to their level of proficiency (intermediate versus advanced). Student presentations will also complement the courses (allocation of these slots is competitive on the basis of the paper’s quality).\n\nThe courses are designed for graduate students wishing to gain additional skills in applied microeconometrics for policy evaluation, as well as for researchers and professionals in public and private institutions who work on impact evaluation."},{"$f":"IF($A203<>\"\",IF(ZOZNAM!M194=\"\",\"\",ZOZNAM!M194),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A203<>\"\",IF(ZOZNAM!N194=\"\",\"\",ZOZNAM!N194),\"\")","v":"nie"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!O194=\"\",\"\",ZOZNAM!O194),\"\")","v":"nie"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!P194=\"\",\"\",ZOZNAM!P194),\"\")","v":1},{"$f":"IF($A203<>\"\",IF(ZOZNAM!Q194=\"\",\"\",ZOZNAM!Q194),\"\")","v":1},{"$f":"IF($A203<>\"\",IF(ZOZNAM!R194=\"\",\"\",ZOZNAM!R194),\"\")","v":2},{"$f":"IF($A203<>\"\",IF(ZOZNAM!S194=\"\",\"\",ZOZNAM!S194),\"\")","v":"Pokročilým"},{"$f":"IF($A203<>\"\",IF(ZOZNAM!T194=\"\",\"\",ZOZNAM!T194),\"\")","v":"Kurz bol organizačne veľmi dobre zvládnutý a vedený odborníkmi. Celkovo je kurz navrhnutý na poskytnutie veľkého množstva informácií (viacero štatistických metód). Všetky materiály boli poskytnuté. V rámci kurzu je v kolektívoch spracovaná prezentácia, v ktorej je aplikovaná jedna z metód kurzu. Na hodinách kódovania potom nebolo dosť času na aplikáciu metód v State. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C195)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C195)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C195)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C195)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C195)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C195)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L195)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L195)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L195)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L195)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L195)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L195)),FALSE))),ZOZNAM!G195>=$C$9),ZOZNAM!A195,\"\")","v":"PA247"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!B195=\"\",\"\",ZOZNAM!B195),\"\")","v":"Paris School of Economics"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!C195=\"\",\"\",ZOZNAM!C195),\"\")","v":"CLIMATE CHANGE - Impacts, adaptation and political constraints"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!D195=\"\",\"\",ZOZNAM!D195),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!E195=\"\",\"\",ZOZNAM!E195),\"\")","v":5},{"$f":"IF($A204<>\"\",IF(ZOZNAM!F195=\"\",\"\",ZOZNAM!F195),\"\")","v":5},{"$f":"IF($A204<>\"\",IF(ZOZNAM!G195=\"\",\"\",ZOZNAM!G195),\"\")","v":"2019-06-17"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!H195=\"\",\"\",ZOZNAM!H195),\"\")","v":"2019-06-21"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!I195=\"\",\"\",ZOZNAM!I195),\"\")","v":"2 000 EUR"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!J195=\"\",\"\",ZOZNAM!J195),\"\")","v":"2019-05-31"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!K195=\"\",\"\",ZOZNAM!K195),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/climate-change/"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!L195=\"\",\"\",ZOZNAM!L195),\"\")","v":"This summer school program aims at teaching participants the cutting-edge research on the topic of climate change impact on the economy and to familiarize them with the relevant methods to analyze the issue (econometric analysis, dynamic modelling).\n\nThe objective of the course is to equip the participants with the background and tools needed as a researcher to contribute to this dynamic field. \nThe main questions covered: How do we measure the impacts of climate change on economic outcomes? What are the relevant economic instruments to combat climate change in a globalized world? How can migration and trade help countries and individuals mitigate the impacts of climate change and/or disasters? How do lobbying and information acquisition influence the actual climate policies?"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!M195=\"\",\"\",ZOZNAM!M195),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A204<>\"\",IF(ZOZNAM!N195=\"\",\"\",ZOZNAM!N195),\"\")","v":"nie"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!O195=\"\",\"\",ZOZNAM!O195),\"\")","v":"nie"},{"$f":"IF($A204<>\"\",IF(ZOZNAM!P195=\"\",\"\",ZOZNAM!P195),\"\")","v":1},{"$f":"IF($A204<>\"\",IF(ZOZNAM!Q195=\"\",\"\",ZOZNAM!Q195),\"\")","v":""},{"$f":"IF($A204<>\"\",IF(ZOZNAM!R195=\"\",\"\",ZOZNAM!R195),\"\")","v":""},{"$f":"IF($A204<>\"\",IF(ZOZNAM!S195=\"\",\"\",ZOZNAM!S195),\"\")","v":""},{"$f":"IF($A204<>\"\",IF(ZOZNAM!T195=\"\",\"\",ZOZNAM!T195),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C196)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C196)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C196)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C196)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C196)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C196)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L196)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L196)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L196)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L196)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L196)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L196)),FALSE))),ZOZNAM!G196>=$C$9),ZOZNAM!A196,\"\")","v":"PA241"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!B196=\"\",\"\",ZOZNAM!B196),\"\")","v":"Paris School of Economics"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!C196=\"\",\"\",ZOZNAM!C196),\"\")","v":"BOUNDED RATIONALITY AND BEHAVIORAL ECONOMICS - Advances in behavioral game theory and decision theory"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!D196=\"\",\"\",ZOZNAM!D196),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!E196=\"\",\"\",ZOZNAM!E196),\"\")","v":5},{"$f":"IF($A205<>\"\",IF(ZOZNAM!F196=\"\",\"\",ZOZNAM!F196),\"\")","v":5},{"$f":"IF($A205<>\"\",IF(ZOZNAM!G196=\"\",\"\",ZOZNAM!G196),\"\")","v":"2019-06-24"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!H196=\"\",\"\",ZOZNAM!H196),\"\")","v":"2019-06-28"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!I196=\"\",\"\",ZOZNAM!I196),\"\")","v":"2 000 EUR"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!J196=\"\",\"\",ZOZNAM!J196),\"\")","v":"2019-05-31"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!K196=\"\",\"\",ZOZNAM!K196),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/bounded-rationality-and-behavioral-economics/"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!L196=\"\",\"\",ZOZNAM!L196),\"\")","v":"Standard economics has been the subject of many critiques. Mainstream economic models and analysis rely on a level of sophistication that is hard to justify from an introspective viewpoint but also considering the large body of experimental evidence. Recent years have witnessed a flurry of alternative approaches. The programme proposes reviewing a large body of these approaches, with the goal of stimulating new research both theoretical and applied."},{"$f":"IF($A205<>\"\",IF(ZOZNAM!M196=\"\",\"\",ZOZNAM!M196),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A205<>\"\",IF(ZOZNAM!N196=\"\",\"\",ZOZNAM!N196),\"\")","v":"nie"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!O196=\"\",\"\",ZOZNAM!O196),\"\")","v":"nie"},{"$f":"IF($A205<>\"\",IF(ZOZNAM!P196=\"\",\"\",ZOZNAM!P196),\"\")","v":1},{"$f":"IF($A205<>\"\",IF(ZOZNAM!Q196=\"\",\"\",ZOZNAM!Q196),\"\")","v":""},{"$f":"IF($A205<>\"\",IF(ZOZNAM!R196=\"\",\"\",ZOZNAM!R196),\"\")","v":""},{"$f":"IF($A205<>\"\",IF(ZOZNAM!S196=\"\",\"\",ZOZNAM!S196),\"\")","v":""},{"$f":"IF($A205<>\"\",IF(ZOZNAM!T196=\"\",\"\",ZOZNAM!T196),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C197)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C197)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C197)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C197)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C197)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C197)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L197)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L197)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L197)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L197)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L197)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L197)),FALSE))),ZOZNAM!G197>=$C$9),ZOZNAM!A197,\"\")","v":"PA242"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!B197=\"\",\"\",ZOZNAM!B197),\"\")","v":"Paris School of Economics"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!C197=\"\",\"\",ZOZNAM!C197),\"\")","v":"DEVELOPMENT - Inequality, social interactions and institutional dynamics"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!D197=\"\",\"\",ZOZNAM!D197),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!E197=\"\",\"\",ZOZNAM!E197),\"\")","v":5},{"$f":"IF($A206<>\"\",IF(ZOZNAM!F197=\"\",\"\",ZOZNAM!F197),\"\")","v":5},{"$f":"IF($A206<>\"\",IF(ZOZNAM!G197=\"\",\"\",ZOZNAM!G197),\"\")","v":"2019-06-24"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!H197=\"\",\"\",ZOZNAM!H197),\"\")","v":"2019-06-28"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!I197=\"\",\"\",ZOZNAM!I197),\"\")","v":"2 000 EUR"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!J197=\"\",\"\",ZOZNAM!J197),\"\")","v":"2019-05-31"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!K197=\"\",\"\",ZOZNAM!K197),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/development/"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!L197=\"\",\"\",ZOZNAM!L197),\"\")","v":"This course takes stock of existing research and moves on to draw the outline of the current research frontier about institutions and social frictions (associated with inequalities, political conflicts, corruption, and cultural polarization) have emerged as central themes in development economics. . How do institutions shape the development process? How do understudied informal institutions, such as identities and customs, interact with formal institutions? How do we interpret recent trends in inequality within low- and middle-income countries?\n\nThe programme approaches these questions by drawing on formal theory and rigorous empirical research in two core modules: “Inequality and development” and “Models of Cultural Dynamics and Social Identity”. In addition, three shorter modules develop empirical applications of the core course themes. These modules cover the role of historical legacies, civil conflict, corruption, and media in economic development. "},{"$f":"IF($A206<>\"\",IF(ZOZNAM!M197=\"\",\"\",ZOZNAM!M197),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A206<>\"\",IF(ZOZNAM!N197=\"\",\"\",ZOZNAM!N197),\"\")","v":"nie"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!O197=\"\",\"\",ZOZNAM!O197),\"\")","v":"nie"},{"$f":"IF($A206<>\"\",IF(ZOZNAM!P197=\"\",\"\",ZOZNAM!P197),\"\")","v":1},{"$f":"IF($A206<>\"\",IF(ZOZNAM!Q197=\"\",\"\",ZOZNAM!Q197),\"\")","v":""},{"$f":"IF($A206<>\"\",IF(ZOZNAM!R197=\"\",\"\",ZOZNAM!R197),\"\")","v":""},{"$f":"IF($A206<>\"\",IF(ZOZNAM!S197=\"\",\"\",ZOZNAM!S197),\"\")","v":""},{"$f":"IF($A206<>\"\",IF(ZOZNAM!T197=\"\",\"\",ZOZNAM!T197),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C198)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C198)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C198)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C198)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C198)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C198)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L198)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L198)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L198)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L198)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L198)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L198)),FALSE))),ZOZNAM!G198>=$C$9),ZOZNAM!A198,\"\")","v":"PA243"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!B198=\"\",\"\",ZOZNAM!B198),\"\")","v":"Paris School of Economics"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!C198=\"\",\"\",ZOZNAM!C198),\"\")","v":"EXPERIMENTAL ECONOMICS - Empirical tools and methods to investigate economic behavior"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!D198=\"\",\"\",ZOZNAM!D198),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!E198=\"\",\"\",ZOZNAM!E198),\"\")","v":5},{"$f":"IF($A207<>\"\",IF(ZOZNAM!F198=\"\",\"\",ZOZNAM!F198),\"\")","v":5},{"$f":"IF($A207<>\"\",IF(ZOZNAM!G198=\"\",\"\",ZOZNAM!G198),\"\")","v":"2019-06-24"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!H198=\"\",\"\",ZOZNAM!H198),\"\")","v":"2019-06-28"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!I198=\"\",\"\",ZOZNAM!I198),\"\")","v":"2 000 EUR"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!J198=\"\",\"\",ZOZNAM!J198),\"\")","v":"2019-05-31"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!K198=\"\",\"\",ZOZNAM!K198),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/experimental-economics/"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!L198=\"\",\"\",ZOZNAM!L198),\"\")","v":"The objective of the Experimental Economics program is to offer young scholars a crash course in empirical methods aimed at understanding economic behavior: how to design, implement and analyze an experiment so to answer a research question. The summer school is methodological in nature, although typical results from behavioral economics will be introduced as examples and illustrations on how protocols are designed to overcome observation/measurement/identification issues. Participants will be trained in the aim of being able to soundly rely on experiments in their future research projects.\n\nThe program is divided in four parts: a series of general lectures on experimental methodology, a series of specialized classes on specific methodological topics and workshop sessions where participants present and refine their experimental projects, with feedback from the school’s speakers."},{"$f":"IF($A207<>\"\",IF(ZOZNAM!M198=\"\",\"\",ZOZNAM!M198),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A207<>\"\",IF(ZOZNAM!N198=\"\",\"\",ZOZNAM!N198),\"\")","v":"nie"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!O198=\"\",\"\",ZOZNAM!O198),\"\")","v":"nie"},{"$f":"IF($A207<>\"\",IF(ZOZNAM!P198=\"\",\"\",ZOZNAM!P198),\"\")","v":1},{"$f":"IF($A207<>\"\",IF(ZOZNAM!Q198=\"\",\"\",ZOZNAM!Q198),\"\")","v":""},{"$f":"IF($A207<>\"\",IF(ZOZNAM!R198=\"\",\"\",ZOZNAM!R198),\"\")","v":""},{"$f":"IF($A207<>\"\",IF(ZOZNAM!S198=\"\",\"\",ZOZNAM!S198),\"\")","v":""},{"$f":"IF($A207<>\"\",IF(ZOZNAM!T198=\"\",\"\",ZOZNAM!T198),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C199)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C199)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C199)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C199)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C199)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C199)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L199)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L199)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L199)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L199)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L199)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L199)),FALSE))),ZOZNAM!G199>=$C$9),ZOZNAM!A199,\"\")","v":"PA244"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!B199=\"\",\"\",ZOZNAM!B199),\"\")","v":"Paris School of Economics"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!C199=\"\",\"\",ZOZNAM!C199),\"\")","v":"HEALTH AND HAPPINESS - From Income and Inequality to Health and Happiness"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!D199=\"\",\"\",ZOZNAM!D199),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!E199=\"\",\"\",ZOZNAM!E199),\"\")","v":5},{"$f":"IF($A208<>\"\",IF(ZOZNAM!F199=\"\",\"\",ZOZNAM!F199),\"\")","v":5},{"$f":"IF($A208<>\"\",IF(ZOZNAM!G199=\"\",\"\",ZOZNAM!G199),\"\")","v":"2019-06-24"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!H199=\"\",\"\",ZOZNAM!H199),\"\")","v":"2019-06-28"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!I199=\"\",\"\",ZOZNAM!I199),\"\")","v":"2 000 EUR"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!J199=\"\",\"\",ZOZNAM!J199),\"\")","v":"2019-05-31"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!K199=\"\",\"\",ZOZNAM!K199),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/health-happiness/"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!L199=\"\",\"\",ZOZNAM!L199),\"\")","v":"The summer school will be centered around health, happiness, income, and income inequality. Individual health and happiness measures are closely related. \nThis program, that studies health and happiness together, is designed to provide (1) an overview of health and happiness measures, focusing on subjective data and on Big Data, and (2) a discussion of the effect of income and income inequality on health and happiness, at the frontier of economic research. Following set of questions will be adressed: What is the relationship between health and happiness? Are subjective measures biased? If they are, what are the pros and cons of correcting them? How is Big Data changing academic research on health and well-being? Why does raising the incomes of all does not increase the happiness of all? How do economic conditions and income inequality influence health and well-being?"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!M199=\"\",\"\",ZOZNAM!M199),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A208<>\"\",IF(ZOZNAM!N199=\"\",\"\",ZOZNAM!N199),\"\")","v":"nie"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!O199=\"\",\"\",ZOZNAM!O199),\"\")","v":"nie"},{"$f":"IF($A208<>\"\",IF(ZOZNAM!P199=\"\",\"\",ZOZNAM!P199),\"\")","v":1},{"$f":"IF($A208<>\"\",IF(ZOZNAM!Q199=\"\",\"\",ZOZNAM!Q199),\"\")","v":""},{"$f":"IF($A208<>\"\",IF(ZOZNAM!R199=\"\",\"\",ZOZNAM!R199),\"\")","v":""},{"$f":"IF($A208<>\"\",IF(ZOZNAM!S199=\"\",\"\",ZOZNAM!S199),\"\")","v":""},{"$f":"IF($A208<>\"\",IF(ZOZNAM!T199=\"\",\"\",ZOZNAM!T199),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C200)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C200)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C200)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C200)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C200)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C200)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L200)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L200)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L200)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L200)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L200)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L200)),FALSE))),ZOZNAM!G200>=$C$9),ZOZNAM!A200,\"\")","v":"PA245"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!B200=\"\",\"\",ZOZNAM!B200),\"\")","v":"Paris School of Economics"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!C200=\"\",\"\",ZOZNAM!C200),\"\")","v":"MIGRATION ECONOMICS - Development impacts of migration and challenges in global labor markets"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!D200=\"\",\"\",ZOZNAM!D200),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!E200=\"\",\"\",ZOZNAM!E200),\"\")","v":5},{"$f":"IF($A209<>\"\",IF(ZOZNAM!F200=\"\",\"\",ZOZNAM!F200),\"\")","v":5},{"$f":"IF($A209<>\"\",IF(ZOZNAM!G200=\"\",\"\",ZOZNAM!G200),\"\")","v":"2019-06-24"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!H200=\"\",\"\",ZOZNAM!H200),\"\")","v":"2019-06-28"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!I200=\"\",\"\",ZOZNAM!I200),\"\")","v":"2 000 EUR"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!J200=\"\",\"\",ZOZNAM!J200),\"\")","v":"2019-05-31"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!K200=\"\",\"\",ZOZNAM!K200),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/migration-economics/"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!L200=\"\",\"\",ZOZNAM!L200),\"\")","v":"This course aims to present the cutting-edge research on the economics of migration and to provide the tools to contribute to this field. The course is focused on the challenge of identifying the microeconomic impacts of migration. It discusses the various channels through which migration has a measurable impact on the migrant household, the key obstacles to being able to attribute effects to migration itself, and different empirical methods that can be used to identify the impacts of migration.\nNext, studies the relationship between globalization and development. It analyzes how migration affects other dimensions of globalization, such as trade, FDI, technology diffusion and the transmission of socio-cultural norms. Course focuses on the public finance and demographic effect of immigration for the host countries and investigates the barriers to immigrants’ assimilation.\nIn terms of methodology, the course combines theoretical modeling in the migration literature with the most recent and rigorous empirical evidence"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!M200=\"\",\"\",ZOZNAM!M200),\"\")","v":"A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment."},{"$f":"IF($A209<>\"\",IF(ZOZNAM!N200=\"\",\"\",ZOZNAM!N200),\"\")","v":"nie"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!O200=\"\",\"\",ZOZNAM!O200),\"\")","v":"nie"},{"$f":"IF($A209<>\"\",IF(ZOZNAM!P200=\"\",\"\",ZOZNAM!P200),\"\")","v":1},{"$f":"IF($A209<>\"\",IF(ZOZNAM!Q200=\"\",\"\",ZOZNAM!Q200),\"\")","v":""},{"$f":"IF($A209<>\"\",IF(ZOZNAM!R200=\"\",\"\",ZOZNAM!R200),\"\")","v":""},{"$f":"IF($A209<>\"\",IF(ZOZNAM!S200=\"\",\"\",ZOZNAM!S200),\"\")","v":""},{"$f":"IF($A209<>\"\",IF(ZOZNAM!T200=\"\",\"\",ZOZNAM!T200),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C207)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C207)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C207)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C207)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C207)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C207)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L207)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L207)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L207)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L207)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L207)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L207)),FALSE))),ZOZNAM!G207>=$C$9),ZOZNAM!A207,\"\")","v":"PT007"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!B207=\"\",\"\",ZOZNAM!B207),\"\")","v":"PTV Group"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!C207=\"\",\"\",ZOZNAM!C207),\"\")","v":"Introduction to Traffic Analysis with PTV Vistro"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!D207=\"\",\"\",ZOZNAM!D207),\"\")","v":"Karlsruhe, Nemecko"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!E207=\"\",\"\",ZOZNAM!E207),\"\")","v":1},{"$f":"IF($A216<>\"\",IF(ZOZNAM!F207=\"\",\"\",ZOZNAM!F207),\"\")","v":1},{"$f":"IF($A216<>\"\",IF(ZOZNAM!G207=\"\",\"\",ZOZNAM!G207),\"\")","v":"2019-12-02"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!H207=\"\",\"\",ZOZNAM!H207),\"\")","v":"2019-12-02"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!I207=\"\",\"\",ZOZNAM!I207),\"\")","v":"482 EUR"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!J207=\"\",\"\",ZOZNAM!J207),\"\")","v":""},{"$f":"IF($A216<>\"\",IF(ZOZNAM!K207=\"\",\"\",ZOZNAM!K207),\"\")","v":"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Vistro/EN/TR-T0301-EN_PTV-Vistro-Introduction-to-Traffic-Analysis-with-PTV-Vistro_v20181102.pdf"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!L207=\"\",\"\",ZOZNAM!L207),\"\")","v":"This course teaches participants how to conduct traffic studies, evaluate development impacts and optimize signals all with a single package. Participants will work with interactive examples of intersections, corridors, networks and development scenarios."},{"$f":"IF($A216<>\"\",IF(ZOZNAM!M207=\"\",\"\",ZOZNAM!M207),\"\")","v":"Cena v režime Early bird. "},{"$f":"IF($A216<>\"\",IF(ZOZNAM!N207=\"\",\"\",ZOZNAM!N207),\"\")","v":"nie"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!O207=\"\",\"\",ZOZNAM!O207),\"\")","v":"nie"},{"$f":"IF($A216<>\"\",IF(ZOZNAM!P207=\"\",\"\",ZOZNAM!P207),\"\")","v":""},{"$f":"IF($A216<>\"\",IF(ZOZNAM!Q207=\"\",\"\",ZOZNAM!Q207),\"\")","v":""},{"$f":"IF($A216<>\"\",IF(ZOZNAM!R207=\"\",\"\",ZOZNAM!R207),\"\")","v":""},{"$f":"IF($A216<>\"\",IF(ZOZNAM!S207=\"\",\"\",ZOZNAM!S207),\"\")","v":""},{"$f":"IF($A216<>\"\",IF(ZOZNAM!T207=\"\",\"\",ZOZNAM!T207),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C208)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C208)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C208)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C208)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C208)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C208)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L208)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L208)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L208)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L208)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L208)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L208)),FALSE))),ZOZNAM!G208>=$C$9),ZOZNAM!A208,\"\")","v":"RU001"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!B208=\"\",\"\",ZOZNAM!B208),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!C208=\"\",\"\",ZOZNAM!C208),\"\")","v":"Introduction to Data Science with R and Rstudio for the Social Sciences"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!D208=\"\",\"\",ZOZNAM!D208),\"\")","v":"Nijmegen, Holandsko"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!E208=\"\",\"\",ZOZNAM!E208),\"\")","v":5},{"$f":"IF($A217<>\"\",IF(ZOZNAM!F208=\"\",\"\",ZOZNAM!F208),\"\")","v":5},{"$f":"IF($A217<>\"\",IF(ZOZNAM!G208=\"\",\"\",ZOZNAM!G208),\"\")","v":"2019-07-08"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!H208=\"\",\"\",ZOZNAM!H208),\"\")","v":"2019-07-12"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!I208=\"\",\"\",ZOZNAM!I208),\"\")","v":"550 EUR"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!J208=\"\",\"\",ZOZNAM!J208),\"\")","v":"2019-05-01"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!K208=\"\",\"\",ZOZNAM!K208),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2019/introduction-data-science-rstudio-social-sciences/"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!L208=\"\",\"\",ZOZNAM!L208),\"\")","v":"Topics that will be discussed in the course are:\n\nReading and cleaning data,\nDescriptive analysis (central tendency measures, correlations) and visualization (barcharts, histograms, scatterplots etc),\nMultivariate analysis and scale construction (e.g. factor analysis, component analysis, correspondence analysis, Mokken analysis),\nRegression analysis (choosing the right model, testing for model assumptions),\nNetwork analysis (network indicators, visualization)\n\nThe course will be a hands-on course, meaning participants will actively work with R and Rstudio, working on assignments."},{"$f":"IF($A217<>\"\",IF(ZOZNAM!M208=\"\",\"\",ZOZNAM!M208),\"\")","v":""},{"$f":"IF($A217<>\"\",IF(ZOZNAM!N208=\"\",\"\",ZOZNAM!N208),\"\")","v":"nie"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!O208=\"\",\"\",ZOZNAM!O208),\"\")","v":"nie"},{"$f":"IF($A217<>\"\",IF(ZOZNAM!P208=\"\",\"\",ZOZNAM!P208),\"\")","v":""},{"$f":"IF($A217<>\"\",IF(ZOZNAM!Q208=\"\",\"\",ZOZNAM!Q208),\"\")","v":""},{"$f":"IF($A217<>\"\",IF(ZOZNAM!R208=\"\",\"\",ZOZNAM!R208),\"\")","v":""},{"$f":"IF($A217<>\"\",IF(ZOZNAM!S208=\"\",\"\",ZOZNAM!S208),\"\")","v":""},{"$f":"IF($A217<>\"\",IF(ZOZNAM!T208=\"\",\"\",ZOZNAM!T208),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C209)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C209)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C209)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C209)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C209)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C209)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L209)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L209)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L209)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L209)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L209)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L209)),FALSE))),ZOZNAM!G209>=$C$9),ZOZNAM!A209,\"\")","v":"RU003"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!B209=\"\",\"\",ZOZNAM!B209),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!C209=\"\",\"\",ZOZNAM!C209),\"\")","v":"Migrant Inclusion in Policy and Practice"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!D209=\"\",\"\",ZOZNAM!D209),\"\")","v":"Nijmegen, Holandsko"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!E209=\"\",\"\",ZOZNAM!E209),\"\")","v":5},{"$f":"IF($A218<>\"\",IF(ZOZNAM!F209=\"\",\"\",ZOZNAM!F209),\"\")","v":5},{"$f":"IF($A218<>\"\",IF(ZOZNAM!G209=\"\",\"\",ZOZNAM!G209),\"\")","v":"2019-07-08"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!H209=\"\",\"\",ZOZNAM!H209),\"\")","v":"2019-07-12"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!I209=\"\",\"\",ZOZNAM!I209),\"\")","v":"550 EUR"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!J209=\"\",\"\",ZOZNAM!J209),\"\")","v":"2019-05-01"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!K209=\"\",\"\",ZOZNAM!K209),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2019/migrant-inclusion-policy-practice/"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!L209=\"\",\"\",ZOZNAM!L209),\"\")","v":"This interdisciplinary course will equip participants with expert knowledge and critical thinking skills relating to the ways in which social and economic dimensions shape one of today’s most debated issues: migrant inclusion policies and practices.\n\nParticipants will learn to approach migrant inclusion from an interdisciplinary perspective and will provide an introduction to three domains of inclusion: (1) economic integration; (2) social integration; and (3) equality in public service provision. Lecturers come from the disciplines of Law, Management, Medicine, and Human Geography. Taking an interdisciplinary, critical perspective they will discuss the design, implementation and evaluation of effective policies and interventions."},{"$f":"IF($A218<>\"\",IF(ZOZNAM!M209=\"\",\"\",ZOZNAM!M209),\"\")","v":""},{"$f":"IF($A218<>\"\",IF(ZOZNAM!N209=\"\",\"\",ZOZNAM!N209),\"\")","v":"nie"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!O209=\"\",\"\",ZOZNAM!O209),\"\")","v":"nie"},{"$f":"IF($A218<>\"\",IF(ZOZNAM!P209=\"\",\"\",ZOZNAM!P209),\"\")","v":""},{"$f":"IF($A218<>\"\",IF(ZOZNAM!Q209=\"\",\"\",ZOZNAM!Q209),\"\")","v":""},{"$f":"IF($A218<>\"\",IF(ZOZNAM!R209=\"\",\"\",ZOZNAM!R209),\"\")","v":""},{"$f":"IF($A218<>\"\",IF(ZOZNAM!S209=\"\",\"\",ZOZNAM!S209),\"\")","v":""},{"$f":"IF($A218<>\"\",IF(ZOZNAM!T209=\"\",\"\",ZOZNAM!T209),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C210)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C210)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C210)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C210)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C210)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C210)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L210)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L210)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L210)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L210)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L210)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L210)),FALSE))),ZOZNAM!G210>=$C$9),ZOZNAM!A210,\"\")","v":"RU002"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!B210=\"\",\"\",ZOZNAM!B210),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!C210=\"\",\"\",ZOZNAM!C210),\"\")","v":"Experiments in Behavioural Economics: Methodology and Applications"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!D210=\"\",\"\",ZOZNAM!D210),\"\")","v":"Nijmegen, Holandsko"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!E210=\"\",\"\",ZOZNAM!E210),\"\")","v":5},{"$f":"IF($A219<>\"\",IF(ZOZNAM!F210=\"\",\"\",ZOZNAM!F210),\"\")","v":5},{"$f":"IF($A219<>\"\",IF(ZOZNAM!G210=\"\",\"\",ZOZNAM!G210),\"\")","v":"2019-08-05"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!H210=\"\",\"\",ZOZNAM!H210),\"\")","v":"2019-08-09"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!I210=\"\",\"\",ZOZNAM!I210),\"\")","v":"600 EUR"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!J210=\"\",\"\",ZOZNAM!J210),\"\")","v":"2019-06-01"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!K210=\"\",\"\",ZOZNAM!K210),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2019/experiments-behavioural-economics-methodology/"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!L210=\"\",\"\",ZOZNAM!L210),\"\")","v":"During the course it will be reconciled theory and practice: participants will see how mental and emotional filters shape the choice people make personally and as a group within experimental setup and via social networks. \n\nThe topics discussed during the course will be:\n\nHomo Economicus concept revision: rationality vs egoistic behavior. Constraints revision: are there only time and budget constraints?\nWhy economics needs psychology. Emotions, cognitive schemes; \nInteractive experiment;\nDiscussion of the results of the experiment. Public good game basic setup: what new? Trust, prosocial and antisocial punishment. Disctator and Ultimatum games - main results and real life applications;\nLab experiments methodology: (a) data collection and exploration; clustering and regression in public good dames, linear regression and Dictator and Ultimatum games, statistical sampling;\nHeuristics: main findings from behavioral economics literature;\nDecisions under uncertainty and probabilistic mistakes, robust methods;\nNudges: a novel approach to lawmaking or a manipulation? Hypothesis testing;\nWellbeing and happiness: behavioral economics approach; classifying behaviors."},{"$f":"IF($A219<>\"\",IF(ZOZNAM!M210=\"\",\"\",ZOZNAM!M210),\"\")","v":""},{"$f":"IF($A219<>\"\",IF(ZOZNAM!N210=\"\",\"\",ZOZNAM!N210),\"\")","v":"nie"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!O210=\"\",\"\",ZOZNAM!O210),\"\")","v":"nie"},{"$f":"IF($A219<>\"\",IF(ZOZNAM!P210=\"\",\"\",ZOZNAM!P210),\"\")","v":""},{"$f":"IF($A219<>\"\",IF(ZOZNAM!Q210=\"\",\"\",ZOZNAM!Q210),\"\")","v":""},{"$f":"IF($A219<>\"\",IF(ZOZNAM!R210=\"\",\"\",ZOZNAM!R210),\"\")","v":""},{"$f":"IF($A219<>\"\",IF(ZOZNAM!S210=\"\",\"\",ZOZNAM!S210),\"\")","v":""},{"$f":"IF($A219<>\"\",IF(ZOZNAM!T210=\"\",\"\",ZOZNAM!T210),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C216)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C216)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C216)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C216)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C216)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C216)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L216)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L216)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L216)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L216)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L216)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L216)),FALSE))),ZOZNAM!G216>=$C$9),ZOZNAM!A216,\"\")","v":"SP002"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!B216=\"\",\"\",ZOZNAM!B216),\"\")","v":"SciencesPo"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!C216=\"\",\"\",ZOZNAM!C216),\"\")","v":"Economic Analysis of Public Policy"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!D216=\"\",\"\",ZOZNAM!D216),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!E216=\"\",\"\",ZOZNAM!E216),\"\")","v":18},{"$f":"IF($A225<>\"\",IF(ZOZNAM!F216=\"\",\"\",ZOZNAM!F216),\"\")","v":25},{"$f":"IF($A225<>\"\",IF(ZOZNAM!G216=\"\",\"\",ZOZNAM!G216),\"\")","v":"2019-07-02"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!H216=\"\",\"\",ZOZNAM!H216),\"\")","v":"2019-07-26"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!I216=\"\",\"\",ZOZNAM!I216),\"\")","v":"2400 EUR"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!J216=\"\",\"\",ZOZNAM!J216),\"\")","v":"2019-05-15"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!K216=\"\",\"\",ZOZNAM!K216),\"\")","v":"http://www.sciencespo.fr/summer/content/economic-analysis-public-policy"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!L216=\"\",\"\",ZOZNAM!L216),\"\")","v":"It will first describe the theoretical developments that aim at understanding economic consequences of policies. Then it will focus on the empirical tools to assess the impact of economic policies. Last it will present the institutions built by economists to actually influence economic decisions. Policy impact. "},{"$f":"IF($A225<>\"\",IF(ZOZNAM!M216=\"\",\"\",ZOZNAM!M216),\"\")","v":"Applicants must pay a 30 € application fee at the time of their application. The fee is payable online by credit card at the end of the application process. The application fee is non-refundable."},{"$f":"IF($A225<>\"\",IF(ZOZNAM!N216=\"\",\"\",ZOZNAM!N216),\"\")","v":"nie"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!O216=\"\",\"\",ZOZNAM!O216),\"\")","v":"nie"},{"$f":"IF($A225<>\"\",IF(ZOZNAM!P216=\"\",\"\",ZOZNAM!P216),\"\")","v":""},{"$f":"IF($A225<>\"\",IF(ZOZNAM!Q216=\"\",\"\",ZOZNAM!Q216),\"\")","v":""},{"$f":"IF($A225<>\"\",IF(ZOZNAM!R216=\"\",\"\",ZOZNAM!R216),\"\")","v":""},{"$f":"IF($A225<>\"\",IF(ZOZNAM!S216=\"\",\"\",ZOZNAM!S216),\"\")","v":""},{"$f":"IF($A225<>\"\",IF(ZOZNAM!T216=\"\",\"\",ZOZNAM!T216),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C217)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C217)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C217)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C217)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C217)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C217)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L217)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L217)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L217)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L217)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L217)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L217)),FALSE))),ZOZNAM!G217>=$C$9),ZOZNAM!A217,\"\")","v":"SP003"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!B217=\"\",\"\",ZOZNAM!B217),\"\")","v":"SciencesPo"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!C217=\"\",\"\",ZOZNAM!C217),\"\")","v":"Social Policies: Europe, the United States and the Politics of Welfare"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!D217=\"\",\"\",ZOZNAM!D217),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!E217=\"\",\"\",ZOZNAM!E217),\"\")","v":18},{"$f":"IF($A226<>\"\",IF(ZOZNAM!F217=\"\",\"\",ZOZNAM!F217),\"\")","v":25},{"$f":"IF($A226<>\"\",IF(ZOZNAM!G217=\"\",\"\",ZOZNAM!G217),\"\")","v":"2019-07-02"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!H217=\"\",\"\",ZOZNAM!H217),\"\")","v":"2019-07-26"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!I217=\"\",\"\",ZOZNAM!I217),\"\")","v":"2400 EUR"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!J217=\"\",\"\",ZOZNAM!J217),\"\")","v":"2019-05-15"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!K217=\"\",\"\",ZOZNAM!K217),\"\")","v":"http://www.sciencespo.fr/summer/content/social-policies-europe-united-states-and-politics-welfare"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!L217=\"\",\"\",ZOZNAM!L217),\"\")","v":"The comparative analysis of social policies, programs and institutions helps us understand why, how and to what effect nations deal with important social problems and issues. The aim of the course is to provide students with a clear idea of the diversity of European social policies, of their historical and political origins, and to allow for the assessment of their performance. The course will also provide an in-depth account of current welfare reforms, in light of their historical development. Important social science analysis concepts (de-/re-commodification, path dependency, etc.) will also be used in order to understand the issues at stake in recent debates concerning the welfare state and the trajectories of their reforms. Social policy. "},{"$f":"IF($A226<>\"\",IF(ZOZNAM!M217=\"\",\"\",ZOZNAM!M217),\"\")","v":"Applicants must pay a 30 € application fee at the time of their application. The fee is payable online by credit card at the end of the application process. The application fee is non-refundable."},{"$f":"IF($A226<>\"\",IF(ZOZNAM!N217=\"\",\"\",ZOZNAM!N217),\"\")","v":"nie"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!O217=\"\",\"\",ZOZNAM!O217),\"\")","v":"nie"},{"$f":"IF($A226<>\"\",IF(ZOZNAM!P217=\"\",\"\",ZOZNAM!P217),\"\")","v":""},{"$f":"IF($A226<>\"\",IF(ZOZNAM!Q217=\"\",\"\",ZOZNAM!Q217),\"\")","v":""},{"$f":"IF($A226<>\"\",IF(ZOZNAM!R217=\"\",\"\",ZOZNAM!R217),\"\")","v":""},{"$f":"IF($A226<>\"\",IF(ZOZNAM!S217=\"\",\"\",ZOZNAM!S217),\"\")","v":""},{"$f":"IF($A226<>\"\",IF(ZOZNAM!T217=\"\",\"\",ZOZNAM!T217),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C218)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C218)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C218)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C218)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C218)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C218)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L218)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L218)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L218)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L218)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L218)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L218)),FALSE))),ZOZNAM!G218>=$C$9),ZOZNAM!A218,\"\")","v":"SI001"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!B218=\"\",\"\",ZOZNAM!B218),\"\")","v":"SIdE (Società Italiana di Econometria) "},{"$f":"IF($A227<>\"\",IF(ZOZNAM!C218=\"\",\"\",ZOZNAM!C218),\"\")","v":"Principles, ideas and theory in econometric time series"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!D218=\"\",\"\",ZOZNAM!D218),\"\")","v":"Bertinoro, Taliansko"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!E218=\"\",\"\",ZOZNAM!E218),\"\")","v":5},{"$f":"IF($A227<>\"\",IF(ZOZNAM!F218=\"\",\"\",ZOZNAM!F218),\"\")","v":6},{"$f":"IF($A227<>\"\",IF(ZOZNAM!G218=\"\",\"\",ZOZNAM!G218),\"\")","v":"2019-06-17"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!H218=\"\",\"\",ZOZNAM!H218),\"\")","v":"2019-06-22"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!I218=\"\",\"\",ZOZNAM!I218),\"\")","v":"2 500 EUR"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!J218=\"\",\"\",ZOZNAM!J218),\"\")","v":"2019-05-30"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!K218=\"\",\"\",ZOZNAM!K218),\"\")","v":"https://www.side-iea.it/events/courses/principles-ideas-and-theory-econometric-time-series-2019"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!L218=\"\",\"\",ZOZNAM!L218),\"\")","v":"The course will be in two main parts: The first part discusses econometric methods and theory, which are applied in the second part, where selected topics from cointegration, statespace models, the bootstrap and multivariate ARCH models, as well as big data modelling will be discussed in detail from recent research."},{"$f":"IF($A227<>\"\",IF(ZOZNAM!M218=\"\",\"\",ZOZNAM!M218),\"\")","v":""},{"$f":"IF($A227<>\"\",IF(ZOZNAM!N218=\"\",\"\",ZOZNAM!N218),\"\")","v":"nie"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!O218=\"\",\"\",ZOZNAM!O218),\"\")","v":"nie"},{"$f":"IF($A227<>\"\",IF(ZOZNAM!P218=\"\",\"\",ZOZNAM!P218),\"\")","v":""},{"$f":"IF($A227<>\"\",IF(ZOZNAM!Q218=\"\",\"\",ZOZNAM!Q218),\"\")","v":""},{"$f":"IF($A227<>\"\",IF(ZOZNAM!R218=\"\",\"\",ZOZNAM!R218),\"\")","v":""},{"$f":"IF($A227<>\"\",IF(ZOZNAM!S218=\"\",\"\",ZOZNAM!S218),\"\")","v":""},{"$f":"IF($A227<>\"\",IF(ZOZNAM!T218=\"\",\"\",ZOZNAM!T218),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C219)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C219)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C219)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C219)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C219)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C219)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L219)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L219)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L219)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L219)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L219)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L219)),FALSE))),ZOZNAM!G219>=$C$9),ZOZNAM!A219,\"\")","v":"SI002"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!B219=\"\",\"\",ZOZNAM!B219),\"\")","v":"SIdE (Società Italiana di Econometria) "},{"$f":"IF($A228<>\"\",IF(ZOZNAM!C219=\"\",\"\",ZOZNAM!C219),\"\")","v":"Machine Learning Algorithms for Econometricians "},{"$f":"IF($A228<>\"\",IF(ZOZNAM!D219=\"\",\"\",ZOZNAM!D219),\"\")","v":"Bertinoro, Taliansko"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!E219=\"\",\"\",ZOZNAM!E219),\"\")","v":5},{"$f":"IF($A228<>\"\",IF(ZOZNAM!F219=\"\",\"\",ZOZNAM!F219),\"\")","v":6},{"$f":"IF($A228<>\"\",IF(ZOZNAM!G219=\"\",\"\",ZOZNAM!G219),\"\")","v":"2019-07-15"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!H219=\"\",\"\",ZOZNAM!H219),\"\")","v":"2019-07-20"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!I219=\"\",\"\",ZOZNAM!I219),\"\")","v":"2 500 EUR"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!J219=\"\",\"\",ZOZNAM!J219),\"\")","v":"2019-05-30"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!K219=\"\",\"\",ZOZNAM!K219),\"\")","v":"https://www.side-iea.it/events/courses/machine-learning-algorithms-econometricians-2019"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!L219=\"\",\"\",ZOZNAM!L219),\"\")","v":"The course will present Machine Learning Techniques to econometricians. In particular, the lecturers will present various concepts intensively used in the Machine Learning literature such as cross-validation, bootstrap, optimization routines;\ndescribe and explain popular machine learning techniques such as random trees, random forests, boosting, neural nets and deep learning, and their natural extensions to time series analysis and causal inference.\n\nTopics covered:\nAlgorithms, bagging, boosting, bootstrap, cross-validation, LASSO, misspecification, neural networks, nonlinearities, optimization, overfit, penalization, R, random forests, regression, splines, trees..."},{"$f":"IF($A228<>\"\",IF(ZOZNAM!M219=\"\",\"\",ZOZNAM!M219),\"\")","v":""},{"$f":"IF($A228<>\"\",IF(ZOZNAM!N219=\"\",\"\",ZOZNAM!N219),\"\")","v":"nie"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!O219=\"\",\"\",ZOZNAM!O219),\"\")","v":"nie"},{"$f":"IF($A228<>\"\",IF(ZOZNAM!P219=\"\",\"\",ZOZNAM!P219),\"\")","v":""},{"$f":"IF($A228<>\"\",IF(ZOZNAM!Q219=\"\",\"\",ZOZNAM!Q219),\"\")","v":""},{"$f":"IF($A228<>\"\",IF(ZOZNAM!R219=\"\",\"\",ZOZNAM!R219),\"\")","v":""},{"$f":"IF($A228<>\"\",IF(ZOZNAM!S219=\"\",\"\",ZOZNAM!S219),\"\")","v":""},{"$f":"IF($A228<>\"\",IF(ZOZNAM!T219=\"\",\"\",ZOZNAM!T219),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C220)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C220)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C220)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C220)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C220)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C220)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L220)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L220)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L220)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L220)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L220)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L220)),FALSE))),ZOZNAM!G220>=$C$9),ZOZNAM!A220,\"\")","v":"SI003"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!B220=\"\",\"\",ZOZNAM!B220),\"\")","v":"TalTech University"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!C220=\"\",\"\",ZOZNAM!C220),\"\")","v":"Summer School on Secure e-Governance (5 ECTS)"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!D220=\"\",\"\",ZOZNAM!D220),\"\")","v":"Talin, Estónsko"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!E220=\"\",\"\",ZOZNAM!E220),\"\")","v":10},{"$f":"IF($A229<>\"\",IF(ZOZNAM!F220=\"\",\"\",ZOZNAM!F220),\"\")","v":14},{"$f":"IF($A229<>\"\",IF(ZOZNAM!G220=\"\",\"\",ZOZNAM!G220),\"\")","v":"2019-07-07"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!H220=\"\",\"\",ZOZNAM!H220),\"\")","v":"2019-07-20"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!I220=\"\",\"\",ZOZNAM!I220),\"\")","v":"1 400 EUR"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!J220=\"\",\"\",ZOZNAM!J220),\"\")","v":"2019-05-05"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!K220=\"\",\"\",ZOZNAM!K220),\"\")","v":"https://www.ttu.ee/projects/summer-and-winter-schools-2/summer-schools-4/secure-e-governace-2/"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!L220=\"\",\"\",ZOZNAM!L220),\"\")","v":"The idea of the course is to introduce e-Estonia from the government level and to give an overview of how things are rolling in the ICT sector in Estonia, the course also broadens the understanding of the value that e-services could provide for different stakeholders (citizens, public entities and privately held companies etc.) nationwide and internationally. As the business models and service ecosystems are shifting more into the networked world, both in the private and public sector, there is a strong need to understand the background of e-services from the idealization to realization. By the end of the course students will have at the very least pitched one e-service prototype to implement in the future.\n\nThe participants will have an understanding of: \n\nhow the public sector implements e-governance and applies service orientation; \nhow and why have business models and service ecosystems shifted into the networked world; \nhow security and legal frameworks relate to the e-governance; \nwhat should be considered while designing environments for the public services; \nhow to conduct changes and lead change management; \nthe background of e-services from the idealisation to realisation; \n(re)designing e-services in the public and private sector."},{"$f":"IF($A229<>\"\",IF(ZOZNAM!M220=\"\",\"\",ZOZNAM!M220),\"\")","v":""},{"$f":"IF($A229<>\"\",IF(ZOZNAM!N220=\"\",\"\",ZOZNAM!N220),\"\")","v":"nie"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!O220=\"\",\"\",ZOZNAM!O220),\"\")","v":"nie"},{"$f":"IF($A229<>\"\",IF(ZOZNAM!P220=\"\",\"\",ZOZNAM!P220),\"\")","v":""},{"$f":"IF($A229<>\"\",IF(ZOZNAM!Q220=\"\",\"\",ZOZNAM!Q220),\"\")","v":""},{"$f":"IF($A229<>\"\",IF(ZOZNAM!R220=\"\",\"\",ZOZNAM!R220),\"\")","v":""},{"$f":"IF($A229<>\"\",IF(ZOZNAM!S220=\"\",\"\",ZOZNAM!S220),\"\")","v":""},{"$f":"IF($A229<>\"\",IF(ZOZNAM!T220=\"\",\"\",ZOZNAM!T220),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C221)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C221)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C221)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C221)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C221)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C221)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L221)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L221)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L221)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L221)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L221)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L221)),FALSE))),ZOZNAM!G221>=$C$9),ZOZNAM!A221,\"\")","v":"TH246"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!B221=\"\",\"\",ZOZNAM!B221),\"\")","v":"The European Regional Science Association (ERSA)"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!C221=\"\",\"\",ZOZNAM!C221),\"\")","v":"ERSA Summer School 2019\nCities and regions in the process of transformation"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!D221=\"\",\"\",ZOZNAM!D221),\"\")","v":"Katowice, Poľsko"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!E221=\"\",\"\",ZOZNAM!E221),\"\")","v":5},{"$f":"IF($A230<>\"\",IF(ZOZNAM!F221=\"\",\"\",ZOZNAM!F221),\"\")","v":7},{"$f":"IF($A230<>\"\",IF(ZOZNAM!G221=\"\",\"\",ZOZNAM!G221),\"\")","v":"2019-06-16"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!H221=\"\",\"\",ZOZNAM!H221),\"\")","v":"2019-06-22"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!I221=\"\",\"\",ZOZNAM!I221),\"\")","v":"250 EUR"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!J221=\"\",\"\",ZOZNAM!J221),\"\")","v":"2019-04-30"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!K221=\"\",\"\",ZOZNAM!K221),\"\")","v":"https://ersa.eventsair.com/2019-ersa-summer-school-katowice/"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!L221=\"\",\"\",ZOZNAM!L221),\"\")","v":"The Summer School will focus on the critical approach to the very catchy concepts that in particular need a careful theoretical framework. This includes geography of innovation vis a vis cities, conceptual underpinnings for smart cities, mechanisms of regional specialisation, as well as solid foundations for the economics of resilience.\nIt will particularly address the interaction between empirical, theoretical and policy analysis within the following topics, which include (but are not limited to): \n\nInnovation, entrepreneurship and urban/regional development\nICT, participation, governance and urban development\nCreativity, culture and urban development\nProximity effects in cities and regions\nKnowledge absorptive capacity in cities\nAdaptability and resilience in cities and regions\nSocial innovation and inclusive growth\nUrban agglomeration and knowledge economy\nSpatial development, growth and innovation\nSocial capital, institution and innovation\nReal estate, urban amenities and the diversity effects in cities\nRegional specialisation and growth\nSustainable development"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!M221=\"\",\"\",ZOZNAM!M221),\"\")","v":""},{"$f":"IF($A230<>\"\",IF(ZOZNAM!N221=\"\",\"\",ZOZNAM!N221),\"\")","v":"áno"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!O221=\"\",\"\",ZOZNAM!O221),\"\")","v":"nie"},{"$f":"IF($A230<>\"\",IF(ZOZNAM!P221=\"\",\"\",ZOZNAM!P221),\"\")","v":""},{"$f":"IF($A230<>\"\",IF(ZOZNAM!Q221=\"\",\"\",ZOZNAM!Q221),\"\")","v":""},{"$f":"IF($A230<>\"\",IF(ZOZNAM!R221=\"\",\"\",ZOZNAM!R221),\"\")","v":""},{"$f":"IF($A230<>\"\",IF(ZOZNAM!S221=\"\",\"\",ZOZNAM!S221),\"\")","v":""},{"$f":"IF($A230<>\"\",IF(ZOZNAM!T221=\"\",\"\",ZOZNAM!T221),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C222)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C222)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C222)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C222)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C222)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C222)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L222)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L222)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L222)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L222)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L222)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L222)),FALSE))),ZOZNAM!G222>=$C$9),ZOZNAM!A222,\"\")","v":"TU001"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!B222=\"\",\"\",ZOZNAM!B222),\"\")","v":"Tilburg University"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!C222=\"\",\"\",ZOZNAM!C222),\"\")","v":"Understanding Data with R: a hands-on workshop towards becoming a data-analyst"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!D222=\"\",\"\",ZOZNAM!D222),\"\")","v":"Tilburg, Holandsko"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!E222=\"\",\"\",ZOZNAM!E222),\"\")","v":10},{"$f":"IF($A231<>\"\",IF(ZOZNAM!F222=\"\",\"\",ZOZNAM!F222),\"\")","v":12},{"$f":"IF($A231<>\"\",IF(ZOZNAM!G222=\"\",\"\",ZOZNAM!G222),\"\")","v":"2019-07-08"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!H222=\"\",\"\",ZOZNAM!H222),\"\")","v":"2019-07-19"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!I222=\"\",\"\",ZOZNAM!I222),\"\")","v":"1000 EUR"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!J222=\"\",\"\",ZOZNAM!J222),\"\")","v":"2019-05-31"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!K222=\"\",\"\",ZOZNAM!K222),\"\")","v":"https://www.tilburguniversity.edu/education/summerschool/academic-courses/understanding-data"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!L222=\"\",\"\",ZOZNAM!L222),\"\")","v":"By completing this course, you will:\nAcquire an understanding of the role of data in answering research questions, both in academics and in the industry;\nGain a basic understanding of the statistical programming language R, using RStudio;\nLearn how to manipulate data (e.g., renaming variables, removing cases, combining datasets);\nLearn how to create beautiful and insightful data visualizations that are relevant for answering the research question;\nLearn how to conduct statistical analyses (e.g., descriptives, correlations, regression);\nLearn how to write a report that answers a research question using the data."},{"$f":"IF($A231<>\"\",IF(ZOZNAM!M222=\"\",\"\",ZOZNAM!M222),\"\")","v":"10% early bird discount when registering before March 31st*"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!N222=\"\",\"\",ZOZNAM!N222),\"\")","v":"nie"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!O222=\"\",\"\",ZOZNAM!O222),\"\")","v":"áno"},{"$f":"IF($A231<>\"\",IF(ZOZNAM!P222=\"\",\"\",ZOZNAM!P222),\"\")","v":""},{"$f":"IF($A231<>\"\",IF(ZOZNAM!Q222=\"\",\"\",ZOZNAM!Q222),\"\")","v":""},{"$f":"IF($A231<>\"\",IF(ZOZNAM!R222=\"\",\"\",ZOZNAM!R222),\"\")","v":""},{"$f":"IF($A231<>\"\",IF(ZOZNAM!S222=\"\",\"\",ZOZNAM!S222),\"\")","v":""},{"$f":"IF($A231<>\"\",IF(ZOZNAM!T222=\"\",\"\",ZOZNAM!T222),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C223)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C223)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C223)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C223)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C223)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C223)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L223)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L223)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L223)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L223)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L223)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L223)),FALSE))),ZOZNAM!G223>=$C$9),ZOZNAM!A223,\"\")","v":"TI247"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!B223=\"\",\"\",ZOZNAM!B223),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!C223=\"\",\"\",ZOZNAM!C223),\"\")","v":"Spatial Cross-Section and Spatial Panel Data Econometrics using Stata"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!D223=\"\",\"\",ZOZNAM!D223),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!E223=\"\",\"\",ZOZNAM!E223),\"\")","v":2},{"$f":"IF($A232<>\"\",IF(ZOZNAM!F223=\"\",\"\",ZOZNAM!F223),\"\")","v":2},{"$f":"IF($A232<>\"\",IF(ZOZNAM!G223=\"\",\"\",ZOZNAM!G223),\"\")","v":"2019-03-21"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!H223=\"\",\"\",ZOZNAM!H223),\"\")","v":"2019-03-22"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!I223=\"\",\"\",ZOZNAM!I223),\"\")","v":"1 475 EUR"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!J223=\"\",\"\",ZOZNAM!J223),\"\")","v":""},{"$f":"IF($A232<>\"\",IF(ZOZNAM!K223=\"\",\"\",ZOZNAM!K223),\"\")","v":"https://www.timberlake.co.uk/spatial-cross-section-and-spatial-panel-data-econometrics-using-stata.html"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!L223=\"\",\"\",ZOZNAM!L223),\"\")","v":"This two-day course will explore two important topics in econometrics: spatial cross-section and spatial static and dynamic panel data models. Their estimation methods are described. Several empirical applications will be presented. This course will acquaint the participants with spatial cross-section and spatial panel data techniques. By the end of the two-day course participants should be able to prepare and define spatial data (especially the spatial matrix W) using Stata, estimate the spatial models (cross-section and panel), and conduct different testing procedures."},{"$f":"IF($A232<>\"\",IF(ZOZNAM!M223=\"\",\"\",ZOZNAM!M223),\"\")","v":""},{"$f":"IF($A232<>\"\",IF(ZOZNAM!N223=\"\",\"\",ZOZNAM!N223),\"\")","v":"nie"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!O223=\"\",\"\",ZOZNAM!O223),\"\")","v":"nie"},{"$f":"IF($A232<>\"\",IF(ZOZNAM!P223=\"\",\"\",ZOZNAM!P223),\"\")","v":2},{"$f":"IF($A232<>\"\",IF(ZOZNAM!Q223=\"\",\"\",ZOZNAM!Q223),\"\")","v":""},{"$f":"IF($A232<>\"\",IF(ZOZNAM!R223=\"\",\"\",ZOZNAM!R223),\"\")","v":""},{"$f":"IF($A232<>\"\",IF(ZOZNAM!S223=\"\",\"\",ZOZNAM!S223),\"\")","v":""},{"$f":"IF($A232<>\"\",IF(ZOZNAM!T223=\"\",\"\",ZOZNAM!T223),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C224)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C224)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C224)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C224)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C224)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C224)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L224)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L224)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L224)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L224)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L224)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L224)),FALSE))),ZOZNAM!G224>=$C$9),ZOZNAM!A224,\"\")","v":"TI248"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!B224=\"\",\"\",ZOZNAM!B224),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!C224=\"\",\"\",ZOZNAM!C224),\"\")","v":"Regression Analysis with Stata: A Hands-On Approach"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!D224=\"\",\"\",ZOZNAM!D224),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!E224=\"\",\"\",ZOZNAM!E224),\"\")","v":2},{"$f":"IF($A233<>\"\",IF(ZOZNAM!F224=\"\",\"\",ZOZNAM!F224),\"\")","v":2},{"$f":"IF($A233<>\"\",IF(ZOZNAM!G224=\"\",\"\",ZOZNAM!G224),\"\")","v":"2019-03-28"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!H224=\"\",\"\",ZOZNAM!H224),\"\")","v":"2019-03-29"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!I224=\"\",\"\",ZOZNAM!I224),\"\")","v":"660 EUR"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!J224=\"\",\"\",ZOZNAM!J224),\"\")","v":""},{"$f":"IF($A233<>\"\",IF(ZOZNAM!K224=\"\",\"\",ZOZNAM!K224),\"\")","v":"https://www.timberlake.co.uk/regression-analysis-with-stata-a-hands-on-approach.html"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!L224=\"\",\"\",ZOZNAM!L224),\"\")","v":"This course introduces linear regression, a powerful technique for studying relationships between quantitative variables. The course introduces commonly-used linear regression techniques using a combination of presentations and computer-based practicals, whereby theory is firmly placed into practice.\n\nParticipants will acquire an appreciation of how basic regression concepts can be extended easily to investigate more complex situations. They will also learn how to interpret computer output and to report results in non-statistical language, as well as a guide to the analysis of variance table."},{"$f":"IF($A233<>\"\",IF(ZOZNAM!M224=\"\",\"\",ZOZNAM!M224),\"\")","v":""},{"$f":"IF($A233<>\"\",IF(ZOZNAM!N224=\"\",\"\",ZOZNAM!N224),\"\")","v":"nie"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!O224=\"\",\"\",ZOZNAM!O224),\"\")","v":"nie"},{"$f":"IF($A233<>\"\",IF(ZOZNAM!P224=\"\",\"\",ZOZNAM!P224),\"\")","v":2},{"$f":"IF($A233<>\"\",IF(ZOZNAM!Q224=\"\",\"\",ZOZNAM!Q224),\"\")","v":""},{"$f":"IF($A233<>\"\",IF(ZOZNAM!R224=\"\",\"\",ZOZNAM!R224),\"\")","v":""},{"$f":"IF($A233<>\"\",IF(ZOZNAM!S224=\"\",\"\",ZOZNAM!S224),\"\")","v":""},{"$f":"IF($A233<>\"\",IF(ZOZNAM!T224=\"\",\"\",ZOZNAM!T224),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C225)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C225)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C225)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C225)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C225)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C225)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L225)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L225)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L225)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L225)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L225)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L225)),FALSE))),ZOZNAM!G225>=$C$9),ZOZNAM!A225,\"\")","v":"TI249"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!B225=\"\",\"\",ZOZNAM!B225),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!C225=\"\",\"\",ZOZNAM!C225),\"\")","v":"Data Management With Stata"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!D225=\"\",\"\",ZOZNAM!D225),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!E225=\"\",\"\",ZOZNAM!E225),\"\")","v":2},{"$f":"IF($A234<>\"\",IF(ZOZNAM!F225=\"\",\"\",ZOZNAM!F225),\"\")","v":2},{"$f":"IF($A234<>\"\",IF(ZOZNAM!G225=\"\",\"\",ZOZNAM!G225),\"\")","v":"2019-04-25"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!H225=\"\",\"\",ZOZNAM!H225),\"\")","v":"2019-04-26"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!I225=\"\",\"\",ZOZNAM!I225),\"\")","v":"1 477 EUR"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!J225=\"\",\"\",ZOZNAM!J225),\"\")","v":""},{"$f":"IF($A234<>\"\",IF(ZOZNAM!K225=\"\",\"\",ZOZNAM!K225),\"\")","v":"https://www.timberlake.co.uk/courses/data-management-with-stata.html"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!L225=\"\",\"\",ZOZNAM!L225),\"\")","v":"This two-day course covers an introduction to Stata and data management. Participants will learn to open datasets in Stata, inspect the data, change data and create variables, create simple graphs and tables, simple programming tools, and save the results and data in Stata and other formats."},{"$f":"IF($A234<>\"\",IF(ZOZNAM!M225=\"\",\"\",ZOZNAM!M225),\"\")","v":""},{"$f":"IF($A234<>\"\",IF(ZOZNAM!N225=\"\",\"\",ZOZNAM!N225),\"\")","v":"nie"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!O225=\"\",\"\",ZOZNAM!O225),\"\")","v":"nie"},{"$f":"IF($A234<>\"\",IF(ZOZNAM!P225=\"\",\"\",ZOZNAM!P225),\"\")","v":2},{"$f":"IF($A234<>\"\",IF(ZOZNAM!Q225=\"\",\"\",ZOZNAM!Q225),\"\")","v":""},{"$f":"IF($A234<>\"\",IF(ZOZNAM!R225=\"\",\"\",ZOZNAM!R225),\"\")","v":""},{"$f":"IF($A234<>\"\",IF(ZOZNAM!S225=\"\",\"\",ZOZNAM!S225),\"\")","v":""},{"$f":"IF($A234<>\"\",IF(ZOZNAM!T225=\"\",\"\",ZOZNAM!T225),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C226)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C226)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C226)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C226)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C226)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C226)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L226)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L226)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L226)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L226)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L226)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L226)),FALSE))),ZOZNAM!G226>=$C$9),ZOZNAM!A226,\"\")","v":"TI250"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!B226=\"\",\"\",ZOZNAM!B226),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!C226=\"\",\"\",ZOZNAM!C226),\"\")","v":"EViews Basics (2019 EViews Summer School)"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!D226=\"\",\"\",ZOZNAM!D226),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!E226=\"\",\"\",ZOZNAM!E226),\"\")","v":1},{"$f":"IF($A235<>\"\",IF(ZOZNAM!F226=\"\",\"\",ZOZNAM!F226),\"\")","v":1},{"$f":"IF($A235<>\"\",IF(ZOZNAM!G226=\"\",\"\",ZOZNAM!G226),\"\")","v":"2019-06-03"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!H226=\"\",\"\",ZOZNAM!H226),\"\")","v":"2019-06-03"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!I226=\"\",\"\",ZOZNAM!I226),\"\")","v":"540 EUR"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!J226=\"\",\"\",ZOZNAM!J226),\"\")","v":""},{"$f":"IF($A235<>\"\",IF(ZOZNAM!K226=\"\",\"\",ZOZNAM!K226),\"\")","v":"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!L226=\"\",\"\",ZOZNAM!L226),\"\")","v":"The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.\n\nThecourse icludes topics:\nThe notions of “workfile” and “object” in EViews\nData handling and databases in EViews\nBrief introduction to programming and series transformations in EViews\nData description: creating, editing, freezing and exporting graphs\nDescriptive statistics and tests.\nPreliminary theory for univariate regression: the classical linear regression model (CLRM), the CLRM assumptions, OLS estimation and regression statistics\nMisspecification analysis: theory revision and diagnostic tests in EViews, stability tests and solutions to the misspecification problems\nThe General-to-Specific (GETS) approach"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!M226=\"\",\"\",ZOZNAM!M226),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!N226=\"\",\"\",ZOZNAM!N226),\"\")","v":"nie"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!O226=\"\",\"\",ZOZNAM!O226),\"\")","v":"nie"},{"$f":"IF($A235<>\"\",IF(ZOZNAM!P226=\"\",\"\",ZOZNAM!P226),\"\")","v":2},{"$f":"IF($A235<>\"\",IF(ZOZNAM!Q226=\"\",\"\",ZOZNAM!Q226),\"\")","v":""},{"$f":"IF($A235<>\"\",IF(ZOZNAM!R226=\"\",\"\",ZOZNAM!R226),\"\")","v":""},{"$f":"IF($A235<>\"\",IF(ZOZNAM!S226=\"\",\"\",ZOZNAM!S226),\"\")","v":""},{"$f":"IF($A235<>\"\",IF(ZOZNAM!T226=\"\",\"\",ZOZNAM!T226),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C227)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C227)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C227)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C227)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C227)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C227)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L227)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L227)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L227)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L227)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L227)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L227)),FALSE))),ZOZNAM!G227>=$C$9),ZOZNAM!A227,\"\")","v":"TI251"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!B227=\"\",\"\",ZOZNAM!B227),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!C227=\"\",\"\",ZOZNAM!C227),\"\")","v":"Atheoretical Models in Eviews (2019 EViews Summer School)"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!D227=\"\",\"\",ZOZNAM!D227),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!E227=\"\",\"\",ZOZNAM!E227),\"\")","v":1},{"$f":"IF($A236<>\"\",IF(ZOZNAM!F227=\"\",\"\",ZOZNAM!F227),\"\")","v":1},{"$f":"IF($A236<>\"\",IF(ZOZNAM!G227=\"\",\"\",ZOZNAM!G227),\"\")","v":"2019-06-04"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!H227=\"\",\"\",ZOZNAM!H227),\"\")","v":"2019-06-04"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!I227=\"\",\"\",ZOZNAM!I227),\"\")","v":"540 EUR"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!J227=\"\",\"\",ZOZNAM!J227),\"\")","v":""},{"$f":"IF($A236<>\"\",IF(ZOZNAM!K227=\"\",\"\",ZOZNAM!K227),\"\")","v":"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!L227=\"\",\"\",ZOZNAM!L227),\"\")","v":"The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.\n\nThe course deals with topics of:\nAtheoretical Models\nStatistical analysis of time series: definition of ARMA models, Box-Jenkins identification, trends and seasonality, filters\nStationarity and non stationarity: theory revision, the notion of unit roots, testing for unit roots in EViews, differencing series\nForecasting with ARMA models and measuring forecasting ability\nVAR representation and estimation\nFurther testing with multivariate regression: Granger causality, lag selection\nForecasting with VARs"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!M227=\"\",\"\",ZOZNAM!M227),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!N227=\"\",\"\",ZOZNAM!N227),\"\")","v":"nie"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!O227=\"\",\"\",ZOZNAM!O227),\"\")","v":"nie"},{"$f":"IF($A236<>\"\",IF(ZOZNAM!P227=\"\",\"\",ZOZNAM!P227),\"\")","v":2},{"$f":"IF($A236<>\"\",IF(ZOZNAM!Q227=\"\",\"\",ZOZNAM!Q227),\"\")","v":""},{"$f":"IF($A236<>\"\",IF(ZOZNAM!R227=\"\",\"\",ZOZNAM!R227),\"\")","v":""},{"$f":"IF($A236<>\"\",IF(ZOZNAM!S227=\"\",\"\",ZOZNAM!S227),\"\")","v":""},{"$f":"IF($A236<>\"\",IF(ZOZNAM!T227=\"\",\"\",ZOZNAM!T227),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C228)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C228)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C228)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C228)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C228)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C228)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L228)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L228)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L228)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L228)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L228)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L228)),FALSE))),ZOZNAM!G228>=$C$9),ZOZNAM!A228,\"\")","v":"TI252"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!B228=\"\",\"\",ZOZNAM!B228),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!C228=\"\",\"\",ZOZNAM!C228),\"\")","v":"Panel Data Models in Eviews (2019 EViews Summer School)"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!D228=\"\",\"\",ZOZNAM!D228),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!E228=\"\",\"\",ZOZNAM!E228),\"\")","v":1},{"$f":"IF($A237<>\"\",IF(ZOZNAM!F228=\"\",\"\",ZOZNAM!F228),\"\")","v":1},{"$f":"IF($A237<>\"\",IF(ZOZNAM!G228=\"\",\"\",ZOZNAM!G228),\"\")","v":"2019-06-05"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!H228=\"\",\"\",ZOZNAM!H228),\"\")","v":"2019-06-05"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!I228=\"\",\"\",ZOZNAM!I228),\"\")","v":"540 EUR"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!J228=\"\",\"\",ZOZNAM!J228),\"\")","v":""},{"$f":"IF($A237<>\"\",IF(ZOZNAM!K228=\"\",\"\",ZOZNAM!K228),\"\")","v":"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!L228=\"\",\"\",ZOZNAM!L228),\"\")","v":"The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.\n\nThe course deals with topics:\nIntroduction to the notion stationarity and unit roots\nThe Dickey-Fuller test\nIntroduction to the notion of cointegration: preliminary theory and Engle-Granger analysis using EViews\nCointegrated VARs in EViews: Johansen’s test for cointegration, the (vector) error correction model (VECM), estimating and interpreting a VECM in EViews\nMultivariate Cointegration II: The VECM"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!M228=\"\",\"\",ZOZNAM!M228),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!N228=\"\",\"\",ZOZNAM!N228),\"\")","v":"nie"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!O228=\"\",\"\",ZOZNAM!O228),\"\")","v":"nie"},{"$f":"IF($A237<>\"\",IF(ZOZNAM!P228=\"\",\"\",ZOZNAM!P228),\"\")","v":2},{"$f":"IF($A237<>\"\",IF(ZOZNAM!Q228=\"\",\"\",ZOZNAM!Q228),\"\")","v":""},{"$f":"IF($A237<>\"\",IF(ZOZNAM!R228=\"\",\"\",ZOZNAM!R228),\"\")","v":""},{"$f":"IF($A237<>\"\",IF(ZOZNAM!S228=\"\",\"\",ZOZNAM!S228),\"\")","v":""},{"$f":"IF($A237<>\"\",IF(ZOZNAM!T228=\"\",\"\",ZOZNAM!T228),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C230)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C230)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C230)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C230)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C230)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C230)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L230)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L230)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L230)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L230)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L230)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L230)),FALSE))),ZOZNAM!G230>=$C$9),ZOZNAM!A230,\"\")","v":"TI254"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!B230=\"\",\"\",ZOZNAM!B230),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!C230=\"\",\"\",ZOZNAM!C230),\"\")","v":"Discrete Choice Models (2019 EViews Summer School)"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!D230=\"\",\"\",ZOZNAM!D230),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!E230=\"\",\"\",ZOZNAM!E230),\"\")","v":1},{"$f":"IF($A239<>\"\",IF(ZOZNAM!F230=\"\",\"\",ZOZNAM!F230),\"\")","v":1},{"$f":"IF($A239<>\"\",IF(ZOZNAM!G230=\"\",\"\",ZOZNAM!G230),\"\")","v":"2019-06-07"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!H230=\"\",\"\",ZOZNAM!H230),\"\")","v":"2019-06-07"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!I230=\"\",\"\",ZOZNAM!I230),\"\")","v":"540 EUR"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!J230=\"\",\"\",ZOZNAM!J230),\"\")","v":""},{"$f":"IF($A239<>\"\",IF(ZOZNAM!K230=\"\",\"\",ZOZNAM!K230),\"\")","v":"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!L230=\"\",\"\",ZOZNAM!L230),\"\")","v":"This course will deal with topics:\nProbit and Logit models\nPreliminary theory, representation and estimation\nInterpreting regression output\nForecasting\nProgramming in EViews \nPreliminary notions"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!M230=\"\",\"\",ZOZNAM!M230),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!N230=\"\",\"\",ZOZNAM!N230),\"\")","v":"nie"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!O230=\"\",\"\",ZOZNAM!O230),\"\")","v":"nie"},{"$f":"IF($A239<>\"\",IF(ZOZNAM!P230=\"\",\"\",ZOZNAM!P230),\"\")","v":2},{"$f":"IF($A239<>\"\",IF(ZOZNAM!Q230=\"\",\"\",ZOZNAM!Q230),\"\")","v":""},{"$f":"IF($A239<>\"\",IF(ZOZNAM!R230=\"\",\"\",ZOZNAM!R230),\"\")","v":""},{"$f":"IF($A239<>\"\",IF(ZOZNAM!S230=\"\",\"\",ZOZNAM!S230),\"\")","v":""},{"$f":"IF($A239<>\"\",IF(ZOZNAM!T230=\"\",\"\",ZOZNAM!T230),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C231)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C231)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C231)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C231)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C231)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C231)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L231)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L231)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L231)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L231)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L231)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L231)),FALSE))),ZOZNAM!G231>=$C$9),ZOZNAM!A231,\"\")","v":"TI255"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!B231=\"\",\"\",ZOZNAM!B231),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!C231=\"\",\"\",ZOZNAM!C231),\"\")","v":"Instrumental Variables and Structural Equation Modelling using Stata (UK)"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!D231=\"\",\"\",ZOZNAM!D231),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!E231=\"\",\"\",ZOZNAM!E231),\"\")","v":2},{"$f":"IF($A240<>\"\",IF(ZOZNAM!F231=\"\",\"\",ZOZNAM!F231),\"\")","v":2},{"$f":"IF($A240<>\"\",IF(ZOZNAM!G231=\"\",\"\",ZOZNAM!G231),\"\")","v":"2019-06-10"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!H231=\"\",\"\",ZOZNAM!H231),\"\")","v":"2019-06-11"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!I231=\"\",\"\",ZOZNAM!I231),\"\")","v":"1 477 EUR"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!J231=\"\",\"\",ZOZNAM!J231),\"\")","v":""},{"$f":"IF($A240<>\"\",IF(ZOZNAM!K231=\"\",\"\",ZOZNAM!K231),\"\")","v":"https://www.timberlake.co.uk/courses/ivsm-uk-19.html"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!L231=\"\",\"\",ZOZNAM!L231),\"\")","v":"This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity.\n\nParticipants will obtain extensive hands-on experience by working on real datasets examples from different social and biomedical sciences. Technical treatment of the subjects will be set out only to properly address real-world applications. \nDelegates will capitalize on visual intuitive graphical representations of causal links, as well as on traditional algebraic approach. The course will enable them to recognize IVs and design causal paths in their own studies, by understanding underlying assumptions in different fields of application.\n"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!M231=\"\",\"\",ZOZNAM!M231),\"\")","v":""},{"$f":"IF($A240<>\"\",IF(ZOZNAM!N231=\"\",\"\",ZOZNAM!N231),\"\")","v":"nie"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!O231=\"\",\"\",ZOZNAM!O231),\"\")","v":"nie"},{"$f":"IF($A240<>\"\",IF(ZOZNAM!P231=\"\",\"\",ZOZNAM!P231),\"\")","v":2},{"$f":"IF($A240<>\"\",IF(ZOZNAM!Q231=\"\",\"\",ZOZNAM!Q231),\"\")","v":""},{"$f":"IF($A240<>\"\",IF(ZOZNAM!R231=\"\",\"\",ZOZNAM!R231),\"\")","v":""},{"$f":"IF($A240<>\"\",IF(ZOZNAM!S231=\"\",\"\",ZOZNAM!S231),\"\")","v":""},{"$f":"IF($A240<>\"\",IF(ZOZNAM!T231=\"\",\"\",ZOZNAM!T231),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C232)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C232)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C232)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C232)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C232)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C232)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L232)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L232)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L232)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L232)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L232)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L232)),FALSE))),ZOZNAM!G232>=$C$9),ZOZNAM!A232,\"\")","v":"TI256"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!B232=\"\",\"\",ZOZNAM!B232),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!C232=\"\",\"\",ZOZNAM!C232),\"\")","v":"Panel Data Analysis Using Stata"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!D232=\"\",\"\",ZOZNAM!D232),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!E232=\"\",\"\",ZOZNAM!E232),\"\")","v":1},{"$f":"IF($A241<>\"\",IF(ZOZNAM!F232=\"\",\"\",ZOZNAM!F232),\"\")","v":2},{"$f":"IF($A241<>\"\",IF(ZOZNAM!G232=\"\",\"\",ZOZNAM!G232),\"\")","v":"2019-06-21"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!H232=\"\",\"\",ZOZNAM!H232),\"\")","v":"2019-06-22"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!I232=\"\",\"\",ZOZNAM!I232),\"\")","v":"547 EUR"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!J232=\"\",\"\",ZOZNAM!J232),\"\")","v":""},{"$f":"IF($A241<>\"\",IF(ZOZNAM!K232=\"\",\"\",ZOZNAM!K232),\"\")","v":"https://www.timberlake.co.uk/training-stata-panel-data-uk.html"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!L232=\"\",\"\",ZOZNAM!L232),\"\")","v":"This two-day course, taking place at Cass Business School, London, aims to provide participants with an in-depth background on panel data econometrics. Up-to-date treatment for a selection of major topics will be presented including endogeneity, serial correlation, stationarity and cointegration in addition to more traditional panel data techniques. All topics will be demonstrated with real life data in Stata.\n\nThis course targets practitioners and policy makers who are interested in gaining an in-depth knowledge of Panel Data techniques and learning how to use them in their current or future assignments."},{"$f":"IF($A241<>\"\",IF(ZOZNAM!M232=\"\",\"\",ZOZNAM!M232),\"\")","v":""},{"$f":"IF($A241<>\"\",IF(ZOZNAM!N232=\"\",\"\",ZOZNAM!N232),\"\")","v":"nie"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!O232=\"\",\"\",ZOZNAM!O232),\"\")","v":"nie"},{"$f":"IF($A241<>\"\",IF(ZOZNAM!P232=\"\",\"\",ZOZNAM!P232),\"\")","v":2},{"$f":"IF($A241<>\"\",IF(ZOZNAM!Q232=\"\",\"\",ZOZNAM!Q232),\"\")","v":""},{"$f":"IF($A241<>\"\",IF(ZOZNAM!R232=\"\",\"\",ZOZNAM!R232),\"\")","v":""},{"$f":"IF($A241<>\"\",IF(ZOZNAM!S232=\"\",\"\",ZOZNAM!S232),\"\")","v":""},{"$f":"IF($A241<>\"\",IF(ZOZNAM!T232=\"\",\"\",ZOZNAM!T232),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C234)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C234)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C234)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C234)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C234)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C234)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L234)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L234)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L234)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L234)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L234)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L234)),FALSE))),ZOZNAM!G234>=$C$9),ZOZNAM!A234,\"\")","v":"TI258"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!B234=\"\",\"\",ZOZNAM!B234),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!C234=\"\",\"\",ZOZNAM!C234),\"\")","v":"Advanced Data Management in Stata (2019 Stata Summer School, London)"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!D234=\"\",\"\",ZOZNAM!D234),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!E234=\"\",\"\",ZOZNAM!E234),\"\")","v":1},{"$f":"IF($A243<>\"\",IF(ZOZNAM!F234=\"\",\"\",ZOZNAM!F234),\"\")","v":1},{"$f":"IF($A243<>\"\",IF(ZOZNAM!G234=\"\",\"\",ZOZNAM!G234),\"\")","v":"2019-07-02"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!H234=\"\",\"\",ZOZNAM!H234),\"\")","v":"2019-07-02"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!I234=\"\",\"\",ZOZNAM!I234),\"\")","v":"540 EUR"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!J234=\"\",\"\",ZOZNAM!J234),\"\")","v":""},{"$f":"IF($A243<>\"\",IF(ZOZNAM!K234=\"\",\"\",ZOZNAM!K234),\"\")","v":"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!L234=\"\",\"\",ZOZNAM!L234),\"\")","v":"In this one-day course participants will look at how to handle data of different types, e.g. continuous, categorical, string and dates. They will look at how to change the shape of a dataset e.g. transpose or collapse to create a summary dataset. Particpants will also learn some simple programming tools that will help them save time in their research."},{"$f":"IF($A243<>\"\",IF(ZOZNAM!M234=\"\",\"\",ZOZNAM!M234),\"\")","v":"2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!N234=\"\",\"\",ZOZNAM!N234),\"\")","v":"nie"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!O234=\"\",\"\",ZOZNAM!O234),\"\")","v":"nie"},{"$f":"IF($A243<>\"\",IF(ZOZNAM!P234=\"\",\"\",ZOZNAM!P234),\"\")","v":2},{"$f":"IF($A243<>\"\",IF(ZOZNAM!Q234=\"\",\"\",ZOZNAM!Q234),\"\")","v":""},{"$f":"IF($A243<>\"\",IF(ZOZNAM!R234=\"\",\"\",ZOZNAM!R234),\"\")","v":""},{"$f":"IF($A243<>\"\",IF(ZOZNAM!S234=\"\",\"\",ZOZNAM!S234),\"\")","v":""},{"$f":"IF($A243<>\"\",IF(ZOZNAM!T234=\"\",\"\",ZOZNAM!T234),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C235)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C235)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C235)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C235)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C235)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C235)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L235)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L235)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L235)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L235)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L235)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L235)),FALSE))),ZOZNAM!G235>=$C$9),ZOZNAM!A235,\"\")","v":"TI259"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!B235=\"\",\"\",ZOZNAM!B235),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!C235=\"\",\"\",ZOZNAM!C235),\"\")","v":"An Introduction to Stata Graphics (2019 Stata Summer School, London)"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!D235=\"\",\"\",ZOZNAM!D235),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!E235=\"\",\"\",ZOZNAM!E235),\"\")","v":1},{"$f":"IF($A244<>\"\",IF(ZOZNAM!F235=\"\",\"\",ZOZNAM!F235),\"\")","v":1},{"$f":"IF($A244<>\"\",IF(ZOZNAM!G235=\"\",\"\",ZOZNAM!G235),\"\")","v":"2019-07-03"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!H235=\"\",\"\",ZOZNAM!H235),\"\")","v":"2019-07-03"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!I235=\"\",\"\",ZOZNAM!I235),\"\")","v":"540 EUR"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!J235=\"\",\"\",ZOZNAM!J235),\"\")","v":""},{"$f":"IF($A244<>\"\",IF(ZOZNAM!K235=\"\",\"\",ZOZNAM!K235),\"\")","v":"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!L235=\"\",\"\",ZOZNAM!L235),\"\")","v":"This one-day introductory course introduces to the Stata working environment and to some of the essential data management and statistical tools.\n\nThe course includes:\nBrief overview of Stata’s statistical, graphical and data management capabilities; Introduction to the Stata working environment\nUsing Stata via the Graphical User Interface and the command window\nUnderstanding Stata’s command syntax\nIntroducing Stata’s online help facilities\nWorking efficiently with do-files\nSaving results output in a log file\nAn example data analysis project in Stata:\nLoading data into Stata from Excel\nLooking at data and checking for and correcting errors\nGenerating new variables\nCombining data files to create an analysis dataset\nGood housekeeping – labelling data\nDescriptive statistics: tables and figures\nHypothesis tests: t-test and chi-square test"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!M235=\"\",\"\",ZOZNAM!M235),\"\")","v":"2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!N235=\"\",\"\",ZOZNAM!N235),\"\")","v":"nie"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!O235=\"\",\"\",ZOZNAM!O235),\"\")","v":"nie"},{"$f":"IF($A244<>\"\",IF(ZOZNAM!P235=\"\",\"\",ZOZNAM!P235),\"\")","v":2},{"$f":"IF($A244<>\"\",IF(ZOZNAM!Q235=\"\",\"\",ZOZNAM!Q235),\"\")","v":""},{"$f":"IF($A244<>\"\",IF(ZOZNAM!R235=\"\",\"\",ZOZNAM!R235),\"\")","v":""},{"$f":"IF($A244<>\"\",IF(ZOZNAM!S235=\"\",\"\",ZOZNAM!S235),\"\")","v":""},{"$f":"IF($A244<>\"\",IF(ZOZNAM!T235=\"\",\"\",ZOZNAM!T235),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C236)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C236)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C236)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C236)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C236)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C236)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L236)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L236)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L236)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L236)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L236)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L236)),FALSE))),ZOZNAM!G236>=$C$9),ZOZNAM!A236,\"\")","v":"TI260"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!B236=\"\",\"\",ZOZNAM!B236),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!C236=\"\",\"\",ZOZNAM!C236),\"\")","v":"An Introduction to Stata for Medical Statistics (2019 Stata Summer School, London)"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!D236=\"\",\"\",ZOZNAM!D236),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!E236=\"\",\"\",ZOZNAM!E236),\"\")","v":1},{"$f":"IF($A245<>\"\",IF(ZOZNAM!F236=\"\",\"\",ZOZNAM!F236),\"\")","v":2},{"$f":"IF($A245<>\"\",IF(ZOZNAM!G236=\"\",\"\",ZOZNAM!G236),\"\")","v":"2019-07-04"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!H236=\"\",\"\",ZOZNAM!H236),\"\")","v":"2019-07-05"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!I236=\"\",\"\",ZOZNAM!I236),\"\")","v":"540 EUR"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!J236=\"\",\"\",ZOZNAM!J236),\"\")","v":""},{"$f":"IF($A245<>\"\",IF(ZOZNAM!K236=\"\",\"\",ZOZNAM!K236),\"\")","v":"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!L236=\"\",\"\",ZOZNAM!L236),\"\")","v":"This two day introductory statistics course is for those who would like to develop their statistical analysis skills.\n\nIn this two-day course participants will look at how to use Stata to analyse data that typically arises in medical research including continuous outcomes.  Particpants will look at how to fit appropriate models in Stata and how to interpret the resulting output. They will look at how to adjust for multiple explanatory variables, allow for interactions and how to obtain model predictions.\n\nThe examples used throughout will be from the field of medical statistics. However, the underlying principles will have application in many areas of research. "},{"$f":"IF($A245<>\"\",IF(ZOZNAM!M236=\"\",\"\",ZOZNAM!M236),\"\")","v":"2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!N236=\"\",\"\",ZOZNAM!N236),\"\")","v":"nie"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!O236=\"\",\"\",ZOZNAM!O236),\"\")","v":"nie"},{"$f":"IF($A245<>\"\",IF(ZOZNAM!P236=\"\",\"\",ZOZNAM!P236),\"\")","v":2},{"$f":"IF($A245<>\"\",IF(ZOZNAM!Q236=\"\",\"\",ZOZNAM!Q236),\"\")","v":""},{"$f":"IF($A245<>\"\",IF(ZOZNAM!R236=\"\",\"\",ZOZNAM!R236),\"\")","v":""},{"$f":"IF($A245<>\"\",IF(ZOZNAM!S236=\"\",\"\",ZOZNAM!S236),\"\")","v":""},{"$f":"IF($A245<>\"\",IF(ZOZNAM!T236=\"\",\"\",ZOZNAM!T236),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C237)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C237)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C237)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C237)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C237)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C237)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L237)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L237)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L237)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L237)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L237)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L237)),FALSE))),ZOZNAM!G237>=$C$9),ZOZNAM!A237,\"\")","v":"TI261"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!B237=\"\",\"\",ZOZNAM!B237),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!C237=\"\",\"\",ZOZNAM!C237),\"\")","v":"An Introduction to Meta-Analysis (2019 Stata Summer School, London)"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!D237=\"\",\"\",ZOZNAM!D237),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!E237=\"\",\"\",ZOZNAM!E237),\"\")","v":0},{"$f":"IF($A246<>\"\",IF(ZOZNAM!F237=\"\",\"\",ZOZNAM!F237),\"\")","v":1},{"$f":"IF($A246<>\"\",IF(ZOZNAM!G237=\"\",\"\",ZOZNAM!G237),\"\")","v":"2019-07-06"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!H237=\"\",\"\",ZOZNAM!H237),\"\")","v":"2019-07-06"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!I237=\"\",\"\",ZOZNAM!I237),\"\")","v":"540 EUR"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!J237=\"\",\"\",ZOZNAM!J237),\"\")","v":""},{"$f":"IF($A246<>\"\",IF(ZOZNAM!K237=\"\",\"\",ZOZNAM!K237),\"\")","v":"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!L237=\"\",\"\",ZOZNAM!L237),\"\")","v":"This one-day course introduces the main statistical techniques for meta-analysis and shows how to do it in practice using the Stata commands metan, metareg and mvmeta.\n\nThe course will deal with topics:\nBasic Stata commands for meta-analysis\nEffect sizes based on binary and continuous data\nFixed vs. random effects models for meta-analysis\nTesting for heterogeneity\nSubgroup analysis and meta-regression\nPractical exercises using the metan and metareg commands"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!M237=\"\",\"\",ZOZNAM!M237),\"\")","v":"2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!N237=\"\",\"\",ZOZNAM!N237),\"\")","v":"nie"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!O237=\"\",\"\",ZOZNAM!O237),\"\")","v":"nie"},{"$f":"IF($A246<>\"\",IF(ZOZNAM!P237=\"\",\"\",ZOZNAM!P237),\"\")","v":2},{"$f":"IF($A246<>\"\",IF(ZOZNAM!Q237=\"\",\"\",ZOZNAM!Q237),\"\")","v":""},{"$f":"IF($A246<>\"\",IF(ZOZNAM!R237=\"\",\"\",ZOZNAM!R237),\"\")","v":""},{"$f":"IF($A246<>\"\",IF(ZOZNAM!S237=\"\",\"\",ZOZNAM!S237),\"\")","v":""},{"$f":"IF($A246<>\"\",IF(ZOZNAM!T237=\"\",\"\",ZOZNAM!T237),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C238)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C238)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C238)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C238)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C238)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C238)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L238)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L238)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L238)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L238)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L238)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L238)),FALSE))),ZOZNAM!G238>=$C$9),ZOZNAM!A238,\"\")","v":"TI262"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!B238=\"\",\"\",ZOZNAM!B238),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!C238=\"\",\"\",ZOZNAM!C238),\"\")","v":"Introduction to EViews (2019 EViews Forecasting Summer School)"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!D238=\"\",\"\",ZOZNAM!D238),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!E238=\"\",\"\",ZOZNAM!E238),\"\")","v":1},{"$f":"IF($A247<>\"\",IF(ZOZNAM!F238=\"\",\"\",ZOZNAM!F238),\"\")","v":1},{"$f":"IF($A247<>\"\",IF(ZOZNAM!G238=\"\",\"\",ZOZNAM!G238),\"\")","v":"2019-07-22"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!H238=\"\",\"\",ZOZNAM!H238),\"\")","v":"2019-07-22"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!I238=\"\",\"\",ZOZNAM!I238),\"\")","v":"540 EUR"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!J238=\"\",\"\",ZOZNAM!J238),\"\")","v":""},{"$f":"IF($A247<>\"\",IF(ZOZNAM!K238=\"\",\"\",ZOZNAM!K238),\"\")","v":"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!L238=\"\",\"\",ZOZNAM!L238),\"\")","v":"The course introduces EViews most popular and useful commands and procedures to import, manipulate, transform and manage data, as well as to perform some commonly used statistical routines and econometric estimations. This session is ideal for new or beginner EViews users, and this course is strongly recommend any participant with no prior experience of using EViews and planning to take further courses, should attend this course"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!M238=\"\",\"\",ZOZNAM!M238),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!N238=\"\",\"\",ZOZNAM!N238),\"\")","v":"nie"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!O238=\"\",\"\",ZOZNAM!O238),\"\")","v":"nie"},{"$f":"IF($A247<>\"\",IF(ZOZNAM!P238=\"\",\"\",ZOZNAM!P238),\"\")","v":2},{"$f":"IF($A247<>\"\",IF(ZOZNAM!Q238=\"\",\"\",ZOZNAM!Q238),\"\")","v":""},{"$f":"IF($A247<>\"\",IF(ZOZNAM!R238=\"\",\"\",ZOZNAM!R238),\"\")","v":""},{"$f":"IF($A247<>\"\",IF(ZOZNAM!S238=\"\",\"\",ZOZNAM!S238),\"\")","v":""},{"$f":"IF($A247<>\"\",IF(ZOZNAM!T238=\"\",\"\",ZOZNAM!T238),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C239)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C239)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C239)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C239)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C239)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C239)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L239)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L239)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L239)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L239)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L239)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L239)),FALSE))),ZOZNAM!G239>=$C$9),ZOZNAM!A239,\"\")","v":"TI263"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!B239=\"\",\"\",ZOZNAM!B239),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!C239=\"\",\"\",ZOZNAM!C239),\"\")","v":"Forecasting with EViews Part 1 (2019 EViews Forecasting Summer School)"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!D239=\"\",\"\",ZOZNAM!D239),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!E239=\"\",\"\",ZOZNAM!E239),\"\")","v":1},{"$f":"IF($A248<>\"\",IF(ZOZNAM!F239=\"\",\"\",ZOZNAM!F239),\"\")","v":1},{"$f":"IF($A248<>\"\",IF(ZOZNAM!G239=\"\",\"\",ZOZNAM!G239),\"\")","v":"2019-07-23"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!H239=\"\",\"\",ZOZNAM!H239),\"\")","v":"2019-07-23"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!I239=\"\",\"\",ZOZNAM!I239),\"\")","v":"540 EUR"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!J239=\"\",\"\",ZOZNAM!J239),\"\")","v":""},{"$f":"IF($A248<>\"\",IF(ZOZNAM!K239=\"\",\"\",ZOZNAM!K239),\"\")","v":"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!L239=\"\",\"\",ZOZNAM!L239),\"\")","v":"On this course he basics of forecasting (and of using EViews) are introduced. It contains a fair balance of theory and application, and both the ordinary regression model and ARMA models are introduced.\n\nThe course deals with topics: \n\nThe notions of “workfile” and “object” in EViews\nData handling and databases in EViews\nData description: creating, editing, freezing and exporting graphs\nDescriptive statistics and tests\nPreliminary theory for univariate regression: the classical linear regression model (CLRM), the CLRM assumptions, OLS estimation\nCreating, estimating and reading a regression in EViews\nARMA models: Box-Jenkins identification, estimation and forecasting\nSmoothing\nSome indicators of forecasting accuracy: mean squared and mean absolute errors, Theil’s U\nThe Diebold-Mariano test"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!M239=\"\",\"\",ZOZNAM!M239),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!N239=\"\",\"\",ZOZNAM!N239),\"\")","v":"nie"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!O239=\"\",\"\",ZOZNAM!O239),\"\")","v":"nie"},{"$f":"IF($A248<>\"\",IF(ZOZNAM!P239=\"\",\"\",ZOZNAM!P239),\"\")","v":2},{"$f":"IF($A248<>\"\",IF(ZOZNAM!Q239=\"\",\"\",ZOZNAM!Q239),\"\")","v":""},{"$f":"IF($A248<>\"\",IF(ZOZNAM!R239=\"\",\"\",ZOZNAM!R239),\"\")","v":""},{"$f":"IF($A248<>\"\",IF(ZOZNAM!S239=\"\",\"\",ZOZNAM!S239),\"\")","v":""},{"$f":"IF($A248<>\"\",IF(ZOZNAM!T239=\"\",\"\",ZOZNAM!T239),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C240)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C240)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C240)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C240)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C240)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C240)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L240)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L240)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L240)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L240)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L240)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L240)),FALSE))),ZOZNAM!G240>=$C$9),ZOZNAM!A240,\"\")","v":"TI264"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!B240=\"\",\"\",ZOZNAM!B240),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!C240=\"\",\"\",ZOZNAM!C240),\"\")","v":"Forecasting with EViews Part 2 (2019 EViews Forecasting Summer School)"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!D240=\"\",\"\",ZOZNAM!D240),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!E240=\"\",\"\",ZOZNAM!E240),\"\")","v":1},{"$f":"IF($A249<>\"\",IF(ZOZNAM!F240=\"\",\"\",ZOZNAM!F240),\"\")","v":1},{"$f":"IF($A249<>\"\",IF(ZOZNAM!G240=\"\",\"\",ZOZNAM!G240),\"\")","v":"2019-07-24"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!H240=\"\",\"\",ZOZNAM!H240),\"\")","v":"2019-07-24"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!I240=\"\",\"\",ZOZNAM!I240),\"\")","v":"540 EUR"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!J240=\"\",\"\",ZOZNAM!J240),\"\")","v":""},{"$f":"IF($A249<>\"\",IF(ZOZNAM!K240=\"\",\"\",ZOZNAM!K240),\"\")","v":"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!L240=\"\",\"\",ZOZNAM!L240),\"\")","v":"This course presents a more advance look at the ordinary regression model, focusing on the issue of misspecification – i.e., from the point of view of forecasting, the issue of improving a regression model (and/or an estimation technique). It has also more practical part, the notions of ARMA models and regression are extended to a multivariate context.\n\nThe course deals with topics:\nMore on the CLRM assumptions\nTesting for misspecification: heteroskedasticity, normality, functional form\nSpecification of dynamic models\nTesting for structural instability\nVAR representation and estimation\nFurther testing with multivariate regression: Granger causality, lag selection\nThe notion of “model”, static and dynamic prediction\nIndicators of forecasting accuracy"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!M240=\"\",\"\",ZOZNAM!M240),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!N240=\"\",\"\",ZOZNAM!N240),\"\")","v":"nie"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!O240=\"\",\"\",ZOZNAM!O240),\"\")","v":"nie"},{"$f":"IF($A249<>\"\",IF(ZOZNAM!P240=\"\",\"\",ZOZNAM!P240),\"\")","v":2},{"$f":"IF($A249<>\"\",IF(ZOZNAM!Q240=\"\",\"\",ZOZNAM!Q240),\"\")","v":""},{"$f":"IF($A249<>\"\",IF(ZOZNAM!R240=\"\",\"\",ZOZNAM!R240),\"\")","v":""},{"$f":"IF($A249<>\"\",IF(ZOZNAM!S240=\"\",\"\",ZOZNAM!S240),\"\")","v":""},{"$f":"IF($A249<>\"\",IF(ZOZNAM!T240=\"\",\"\",ZOZNAM!T240),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C241)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C241)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C241)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C241)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C241)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C241)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L241)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L241)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L241)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L241)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L241)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L241)),FALSE))),ZOZNAM!G241>=$C$9),ZOZNAM!A241,\"\")","v":"TI265"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!B241=\"\",\"\",ZOZNAM!B241),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!C241=\"\",\"\",ZOZNAM!C241),\"\")","v":"Forecasting non-stationary series (2019 EViews Forecasting Summer School)"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!D241=\"\",\"\",ZOZNAM!D241),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!E241=\"\",\"\",ZOZNAM!E241),\"\")","v":1},{"$f":"IF($A250<>\"\",IF(ZOZNAM!F241=\"\",\"\",ZOZNAM!F241),\"\")","v":1},{"$f":"IF($A250<>\"\",IF(ZOZNAM!G241=\"\",\"\",ZOZNAM!G241),\"\")","v":"2019-07-25"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!H241=\"\",\"\",ZOZNAM!H241),\"\")","v":"2019-07-25"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!I241=\"\",\"\",ZOZNAM!I241),\"\")","v":"540 EUR"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!J241=\"\",\"\",ZOZNAM!J241),\"\")","v":""},{"$f":"IF($A250<>\"\",IF(ZOZNAM!K241=\"\",\"\",ZOZNAM!K241),\"\")","v":"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!L241=\"\",\"\",ZOZNAM!L241),\"\")","v":"The main focus of this course is on non-stationary data. After introducing the notions of stationarity and non-stationarity (and some tests), participants will discuss cointegration in both a single equation and multiple equation framework.\n\nThe course deals with topics:\n\nIntroduction to the notion stationarity and unit roots\nThe Dickey-Fuller test\nIntroduction to the notion of cointegration: preliminary theory and Engle-Granger analysis using EViews\nCointegrated VARs in EViews: Johansen’s test for cointegration, the (vector) error correction model (VECM), estimating and interpreting a VECM in EViews\nCreating and interpreting forecasts with non-stationary VARs\nStatic and dynamic prediction\nModelling and predicting UK inflation"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!M241=\"\",\"\",ZOZNAM!M241),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!N241=\"\",\"\",ZOZNAM!N241),\"\")","v":"nie"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!O241=\"\",\"\",ZOZNAM!O241),\"\")","v":"nie"},{"$f":"IF($A250<>\"\",IF(ZOZNAM!P241=\"\",\"\",ZOZNAM!P241),\"\")","v":2},{"$f":"IF($A250<>\"\",IF(ZOZNAM!Q241=\"\",\"\",ZOZNAM!Q241),\"\")","v":""},{"$f":"IF($A250<>\"\",IF(ZOZNAM!R241=\"\",\"\",ZOZNAM!R241),\"\")","v":""},{"$f":"IF($A250<>\"\",IF(ZOZNAM!S241=\"\",\"\",ZOZNAM!S241),\"\")","v":""},{"$f":"IF($A250<>\"\",IF(ZOZNAM!T241=\"\",\"\",ZOZNAM!T241),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C242)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C242)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C242)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C242)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C242)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C242)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L242)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L242)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L242)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L242)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L242)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L242)),FALSE))),ZOZNAM!G242>=$C$9),ZOZNAM!A242,\"\")","v":"TI266"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!B242=\"\",\"\",ZOZNAM!B242),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!C242=\"\",\"\",ZOZNAM!C242),\"\")","v":"State space modelling in EViews (2019 EViews Forecasting Summer School)"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!D242=\"\",\"\",ZOZNAM!D242),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!E242=\"\",\"\",ZOZNAM!E242),\"\")","v":1},{"$f":"IF($A251<>\"\",IF(ZOZNAM!F242=\"\",\"\",ZOZNAM!F242),\"\")","v":1},{"$f":"IF($A251<>\"\",IF(ZOZNAM!G242=\"\",\"\",ZOZNAM!G242),\"\")","v":"2019-07-26"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!H242=\"\",\"\",ZOZNAM!H242),\"\")","v":"2019-07-26"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!I242=\"\",\"\",ZOZNAM!I242),\"\")","v":"540 EUR"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!J242=\"\",\"\",ZOZNAM!J242),\"\")","v":""},{"$f":"IF($A251<>\"\",IF(ZOZNAM!K242=\"\",\"\",ZOZNAM!K242),\"\")","v":"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!L242=\"\",\"\",ZOZNAM!L242),\"\")","v":"The sessions will cover: setting up a State-space model in EViews, forecasting and getting around some typical problems (mainly, trying to achieve convergence). The main focus will be on a special case of a State-space model, namely the time-varying parameter case.  \n\nThe course includes topics:\nRepresentation and creation of a state space object in EViews\nUnobserved components\nEstimation of a state space object\nSetting initial values\nSetting up and estimating a time-varying parameter model in EViews\nThe “state space” object procedures\nForecasting states and signals\nKalman-Bucy filtering\nForecasting parameters"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!M242=\"\",\"\",ZOZNAM!M242),\"\")","v":"2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!N242=\"\",\"\",ZOZNAM!N242),\"\")","v":"nie"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!O242=\"\",\"\",ZOZNAM!O242),\"\")","v":"nie"},{"$f":"IF($A251<>\"\",IF(ZOZNAM!P242=\"\",\"\",ZOZNAM!P242),\"\")","v":2},{"$f":"IF($A251<>\"\",IF(ZOZNAM!Q242=\"\",\"\",ZOZNAM!Q242),\"\")","v":""},{"$f":"IF($A251<>\"\",IF(ZOZNAM!R242=\"\",\"\",ZOZNAM!R242),\"\")","v":""},{"$f":"IF($A251<>\"\",IF(ZOZNAM!S242=\"\",\"\",ZOZNAM!S242),\"\")","v":""},{"$f":"IF($A251<>\"\",IF(ZOZNAM!T242=\"\",\"\",ZOZNAM!T242),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C243)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C243)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C243)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C243)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C243)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C243)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L243)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L243)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L243)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L243)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L243)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L243)),FALSE))),ZOZNAM!G243>=$C$9),ZOZNAM!A243,\"\")","v":"TI267"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!B243=\"\",\"\",ZOZNAM!B243),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!C243=\"\",\"\",ZOZNAM!C243),\"\")","v":"A Practical Guide to Econometric Modelling and Forecasting"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!D243=\"\",\"\",ZOZNAM!D243),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!E243=\"\",\"\",ZOZNAM!E243),\"\")","v":3},{"$f":"IF($A252<>\"\",IF(ZOZNAM!F243=\"\",\"\",ZOZNAM!F243),\"\")","v":3},{"$f":"IF($A252<>\"\",IF(ZOZNAM!G243=\"\",\"\",ZOZNAM!G243),\"\")","v":"2019-08-05"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!H243=\"\",\"\",ZOZNAM!H243),\"\")","v":"2019-08-07"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!I243=\"\",\"\",ZOZNAM!I243),\"\")","v":"1 950 EUR"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!J243=\"\",\"\",ZOZNAM!J243),\"\")","v":""},{"$f":"IF($A252<>\"\",IF(ZOZNAM!K243=\"\",\"\",ZOZNAM!K243),\"\")","v":"https://www.timberlake.co.uk/courses/a-practical-guide-to-econometric-modelling-and-forecasting.html"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!L243=\"\",\"\",ZOZNAM!L243),\"\")","v":"This course is aimed at economists and applied econometricians who work with time-series data and want to keep up-to-date with some major recent developments in applied econometric modelling for forecasting.\n\nThe course provides an introduction to the theory and practice of econometric modelling and forecasting facing a nonstationary and evolving world, when the model differs from the data generation process (DGP). It covers the modelling methodology, practice, implementation and evaluation of economic models and their forecasts, focusing on the main sources of forecast error leading to the possible robustification of forecasts. The framework, its basic concepts and implications will be explained for integrated-cointegrated processes intermittently subject to outliers and structural breaks. Live applications to empirical time series will demonstrate the approach."},{"$f":"IF($A252<>\"\",IF(ZOZNAM!M243=\"\",\"\",ZOZNAM!M243),\"\")","v":""},{"$f":"IF($A252<>\"\",IF(ZOZNAM!N243=\"\",\"\",ZOZNAM!N243),\"\")","v":"nie"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!O243=\"\",\"\",ZOZNAM!O243),\"\")","v":"nie"},{"$f":"IF($A252<>\"\",IF(ZOZNAM!P243=\"\",\"\",ZOZNAM!P243),\"\")","v":2},{"$f":"IF($A252<>\"\",IF(ZOZNAM!Q243=\"\",\"\",ZOZNAM!Q243),\"\")","v":""},{"$f":"IF($A252<>\"\",IF(ZOZNAM!R243=\"\",\"\",ZOZNAM!R243),\"\")","v":""},{"$f":"IF($A252<>\"\",IF(ZOZNAM!S243=\"\",\"\",ZOZNAM!S243),\"\")","v":""},{"$f":"IF($A252<>\"\",IF(ZOZNAM!T243=\"\",\"\",ZOZNAM!T243),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C244)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C244)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C244)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C244)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C244)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C244)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L244)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L244)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L244)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L244)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L244)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L244)),FALSE))),ZOZNAM!G244>=$C$9),ZOZNAM!A244,\"\")","v":"TI268"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!B244=\"\",\"\",ZOZNAM!B244),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!C244=\"\",\"\",ZOZNAM!C244),\"\")","v":"Summer School on Data Science and Causal Modelling for Big Data in Health and Medical Research"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!D244=\"\",\"\",ZOZNAM!D244),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!E244=\"\",\"\",ZOZNAM!E244),\"\")","v":4},{"$f":"IF($A253<>\"\",IF(ZOZNAM!F244=\"\",\"\",ZOZNAM!F244),\"\")","v":4},{"$f":"IF($A253<>\"\",IF(ZOZNAM!G244=\"\",\"\",ZOZNAM!G244),\"\")","v":"2019-10-14"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!H244=\"\",\"\",ZOZNAM!H244),\"\")","v":"2019-10-17"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!I244=\"\",\"\",ZOZNAM!I244),\"\")","v":"1 750 EUR"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!J244=\"\",\"\",ZOZNAM!J244),\"\")","v":""},{"$f":"IF($A253<>\"\",IF(ZOZNAM!K244=\"\",\"\",ZOZNAM!K244),\"\")","v":"https://www.timberlake.co.uk/courses/data-science-and-causal-modelling-for-big-data-in-health-and-medical-research.html"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!L244=\"\",\"\",ZOZNAM!L244),\"\")","v":"The objective of this summer school is to train participants in data science, and causal modelling and inference for health and medical big data. The main subjects that the course will cover include: (i) identification of the main sources of administrative and clinical data; (ii) management and manipulation of these data using Stata; (iii) correct application of machine learning and data mining techniques; (iv) accurate application of causal inference methods, via both counterfactual and structural modelling; (v) ex-post cost-benefit analysis for health policy programs."},{"$f":"IF($A253<>\"\",IF(ZOZNAM!M244=\"\",\"\",ZOZNAM!M244),\"\")","v":""},{"$f":"IF($A253<>\"\",IF(ZOZNAM!N244=\"\",\"\",ZOZNAM!N244),\"\")","v":"nie"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!O244=\"\",\"\",ZOZNAM!O244),\"\")","v":"nie"},{"$f":"IF($A253<>\"\",IF(ZOZNAM!P244=\"\",\"\",ZOZNAM!P244),\"\")","v":2},{"$f":"IF($A253<>\"\",IF(ZOZNAM!Q244=\"\",\"\",ZOZNAM!Q244),\"\")","v":""},{"$f":"IF($A253<>\"\",IF(ZOZNAM!R244=\"\",\"\",ZOZNAM!R244),\"\")","v":""},{"$f":"IF($A253<>\"\",IF(ZOZNAM!S244=\"\",\"\",ZOZNAM!S244),\"\")","v":""},{"$f":"IF($A253<>\"\",IF(ZOZNAM!T244=\"\",\"\",ZOZNAM!T244),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C245)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C245)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C245)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C245)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C245)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C245)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L245)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L245)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L245)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L245)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L245)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L245)),FALSE))),ZOZNAM!G245>=$C$9),ZOZNAM!A245,\"\")","v":"TI002"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!B245=\"\",\"\",ZOZNAM!B245),\"\")","v":"Tinbergen Insitute"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!C245=\"\",\"\",ZOZNAM!C245),\"\")","v":"Research on Productivity, Trade, and Growth"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!D245=\"\",\"\",ZOZNAM!D245),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!E245=\"\",\"\",ZOZNAM!E245),\"\")","v":5},{"$f":"IF($A254<>\"\",IF(ZOZNAM!F245=\"\",\"\",ZOZNAM!F245),\"\")","v":5},{"$f":"IF($A254<>\"\",IF(ZOZNAM!G245=\"\",\"\",ZOZNAM!G245),\"\")","v":"2019-07-08"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!H245=\"\",\"\",ZOZNAM!H245),\"\")","v":"2019-07-12"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!I245=\"\",\"\",ZOZNAM!I245),\"\")","v":"2000 EUR"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!J245=\"\",\"\",ZOZNAM!J245),\"\")","v":"2019-06-10"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!K245=\"\",\"\",ZOZNAM!K245),\"\")","v":"https://www.tinbergen.nl/research-on-productivity-trade-and-growth-theory-and-practice"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!L245=\"\",\"\",ZOZNAM!L245),\"\")","v":"This course provides a self-contained set of lectures to bring PhD students and practitioners up to speed in the area of empirical research using firm-level data. The course starts with an introduction to models of firm dynamics and innovation. Next, attention is paid to estimation of productivity, including methods to cope with sample selection, endogeneity of inputs, and lack of firm-level quality adjusted prices. The insights from production function estimation are used to develop a framework to estimate markups using the so-called production approach. This framework is used to discuss the recent debate around rising market power. Finally, the course discusses recent empirical work on structural modeling of productivity, trade and growth. Besides theory, the course will include a set of lectures on data handling, programming, and algorithms for empirical applications, as well as daily hands-on practical sessions."},{"$f":"IF($A254<>\"\",IF(ZOZNAM!M245=\"\",\"\",ZOZNAM!M245),\"\")","v":""},{"$f":"IF($A254<>\"\",IF(ZOZNAM!N245=\"\",\"\",ZOZNAM!N245),\"\")","v":"nie"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!O245=\"\",\"\",ZOZNAM!O245),\"\")","v":"nie"},{"$f":"IF($A254<>\"\",IF(ZOZNAM!P245=\"\",\"\",ZOZNAM!P245),\"\")","v":""},{"$f":"IF($A254<>\"\",IF(ZOZNAM!Q245=\"\",\"\",ZOZNAM!Q245),\"\")","v":""},{"$f":"IF($A254<>\"\",IF(ZOZNAM!R245=\"\",\"\",ZOZNAM!R245),\"\")","v":""},{"$f":"IF($A254<>\"\",IF(ZOZNAM!S245=\"\",\"\",ZOZNAM!S245),\"\")","v":""},{"$f":"IF($A254<>\"\",IF(ZOZNAM!T245=\"\",\"\",ZOZNAM!T245),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C246)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C246)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C246)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C246)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C246)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C246)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L246)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L246)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L246)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L246)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L246)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L246)),FALSE))),ZOZNAM!G246>=$C$9),ZOZNAM!A246,\"\")","v":"TI001"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!B246=\"\",\"\",ZOZNAM!B246),\"\")","v":"Tinbergen Insitute"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!C246=\"\",\"\",ZOZNAM!C246),\"\")","v":"Crash Course in Experimental Economics"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!D246=\"\",\"\",ZOZNAM!D246),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!E246=\"\",\"\",ZOZNAM!E246),\"\")","v":5},{"$f":"IF($A255<>\"\",IF(ZOZNAM!F246=\"\",\"\",ZOZNAM!F246),\"\")","v":6},{"$f":"IF($A255<>\"\",IF(ZOZNAM!G246=\"\",\"\",ZOZNAM!G246),\"\")","v":"2019-08-19"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!H246=\"\",\"\",ZOZNAM!H246),\"\")","v":"2019-08-24"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!I246=\"\",\"\",ZOZNAM!I246),\"\")","v":"1500 EUR"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!J246=\"\",\"\",ZOZNAM!J246),\"\")","v":"2019-07-22"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!K246=\"\",\"\",ZOZNAM!K246),\"\")","v":"https://www.tinbergen.nl/crash-course-in-experimental-economics"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!L246=\"\",\"\",ZOZNAM!L246),\"\")","v":"This one-week crash course is an introduction to the field of experimental economics. The course provides students with skills needed to design and run an experiment. "},{"$f":"IF($A255<>\"\",IF(ZOZNAM!M246=\"\",\"\",ZOZNAM!M246),\"\")","v":""},{"$f":"IF($A255<>\"\",IF(ZOZNAM!N246=\"\",\"\",ZOZNAM!N246),\"\")","v":"nie"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!O246=\"\",\"\",ZOZNAM!O246),\"\")","v":"nie"},{"$f":"IF($A255<>\"\",IF(ZOZNAM!P246=\"\",\"\",ZOZNAM!P246),\"\")","v":""},{"$f":"IF($A255<>\"\",IF(ZOZNAM!Q246=\"\",\"\",ZOZNAM!Q246),\"\")","v":""},{"$f":"IF($A255<>\"\",IF(ZOZNAM!R246=\"\",\"\",ZOZNAM!R246),\"\")","v":""},{"$f":"IF($A255<>\"\",IF(ZOZNAM!S246=\"\",\"\",ZOZNAM!S246),\"\")","v":""},{"$f":"IF($A255<>\"\",IF(ZOZNAM!T246=\"\",\"\",ZOZNAM!T246),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C247)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C247)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C247)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C247)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C247)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C247)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L247)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L247)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L247)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L247)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L247)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L247)),FALSE))),ZOZNAM!G247>=$C$9),ZOZNAM!A247,\"\")","v":"TI003"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!B247=\"\",\"\",ZOZNAM!B247),\"\")","v":"Tinbergen Insitute"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!C247=\"\",\"\",ZOZNAM!C247),\"\")","v":"Econometric Methods for Forecasting and Data Science with Applications in Finance, Economics and Business"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!D247=\"\",\"\",ZOZNAM!D247),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!E247=\"\",\"\",ZOZNAM!E247),\"\")","v":5},{"$f":"IF($A256<>\"\",IF(ZOZNAM!F247=\"\",\"\",ZOZNAM!F247),\"\")","v":5},{"$f":"IF($A256<>\"\",IF(ZOZNAM!G247=\"\",\"\",ZOZNAM!G247),\"\")","v":"2019-08-19"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!H247=\"\",\"\",ZOZNAM!H247),\"\")","v":"2019-08-23"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!I247=\"\",\"\",ZOZNAM!I247),\"\")","v":"1500 EUR"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!J247=\"\",\"\",ZOZNAM!J247),\"\")","v":"2019-06-22"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!K247=\"\",\"\",ZOZNAM!K247),\"\")","v":"https://www.tinbergen.nl/econometric-methods-for-forecasting-and-data-science"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!L247=\"\",\"\",ZOZNAM!L247),\"\")","v":"The importance of developing appropriate quantitative models and methods for risk-assessment, climate-impact scenarios, energy policy, house market prices, and big data analyses generally are well understood in the academic and professional worlds. The developments in new technologies for econometric modelling, analysis and forecasting of (big) data in finance, economics and business are moving forwards rapidly. In this summer school we will treat a number of these developments in much detail. In each case we start with the basics of the methodology and theory, we illustrate their use and their importance, we implement the basic methods in a computer lab, and we review the latest developments in the academic and professional literature. Given the interdisciplinary nature of the summer school, we start with a review of the basic methods and theory in each case. More specifically, we aim to treat the latest developments in univariate time series models, dynamic econometric models, volatility models, dynamic factor models, state space models, time-varying location and scale models, etc. The practical use of econometric methods in the context of specific applications are assessed in individual cases targeted towards the backgrounds of the participants."},{"$f":"IF($A256<>\"\",IF(ZOZNAM!M247=\"\",\"\",ZOZNAM!M247),\"\")","v":""},{"$f":"IF($A256<>\"\",IF(ZOZNAM!N247=\"\",\"\",ZOZNAM!N247),\"\")","v":"nie"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!O247=\"\",\"\",ZOZNAM!O247),\"\")","v":"nie"},{"$f":"IF($A256<>\"\",IF(ZOZNAM!P247=\"\",\"\",ZOZNAM!P247),\"\")","v":""},{"$f":"IF($A256<>\"\",IF(ZOZNAM!Q247=\"\",\"\",ZOZNAM!Q247),\"\")","v":""},{"$f":"IF($A256<>\"\",IF(ZOZNAM!R247=\"\",\"\",ZOZNAM!R247),\"\")","v":""},{"$f":"IF($A256<>\"\",IF(ZOZNAM!S247=\"\",\"\",ZOZNAM!S247),\"\")","v":""},{"$f":"IF($A256<>\"\",IF(ZOZNAM!T247=\"\",\"\",ZOZNAM!T247),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C248)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C248)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C248)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C248)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C248)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C248)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L248)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L248)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L248)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L248)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L248)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L248)),FALSE))),ZOZNAM!G248>=$C$9),ZOZNAM!A248,\"\")","v":"TS001"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!B248=\"\",\"\",ZOZNAM!B248),\"\")","v":"Tstat"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!C248=\"\",\"\",ZOZNAM!C248),\"\")","v":"AN INTRODUCTION TO STATA"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!D248=\"\",\"\",ZOZNAM!D248),\"\")","v":"Florencia, Taliansko"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!E248=\"\",\"\",ZOZNAM!E248),\"\")","v":1},{"$f":"IF($A257<>\"\",IF(ZOZNAM!F248=\"\",\"\",ZOZNAM!F248),\"\")","v":1},{"$f":"IF($A257<>\"\",IF(ZOZNAM!G248=\"\",\"\",ZOZNAM!G248),\"\")","v":"2019-08-26"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!H248=\"\",\"\",ZOZNAM!H248),\"\")","v":"2019-08-26"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!I248=\"\",\"\",ZOZNAM!I248),\"\")","v":"1 478 EUR"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!J248=\"\",\"\",ZOZNAM!J248),\"\")","v":"2019-07-27"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!K248=\"\",\"\",ZOZNAM!K248),\"\")","v":"https://www.tstattraining.eu/training/modelling-energy-markets-using-stata/"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!L248=\"\",\"\",ZOZNAM!L248),\"\")","v":"The objective this summer school is to provide participants with the requisite toolset, both theoretical and applied, to enable them to correctly implement the appropriate statistical tools required for the modelling of both demand and prices in international energy markets. \n\nThe summer school opens with an optional one-day introduction to Stata course to enable participants unfamiliar with the statistical software Stata to acquire the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats."},{"$f":"IF($A257<>\"\",IF(ZOZNAM!M248=\"\",\"\",ZOZNAM!M248),\"\")","v":"Cena je závislá od kombinácie kurzov, viac info na stránke. "},{"$f":"IF($A257<>\"\",IF(ZOZNAM!N248=\"\",\"\",ZOZNAM!N248),\"\")","v":"áno"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!O248=\"\",\"\",ZOZNAM!O248),\"\")","v":"nie"},{"$f":"IF($A257<>\"\",IF(ZOZNAM!P248=\"\",\"\",ZOZNAM!P248),\"\")","v":""},{"$f":"IF($A257<>\"\",IF(ZOZNAM!Q248=\"\",\"\",ZOZNAM!Q248),\"\")","v":""},{"$f":"IF($A257<>\"\",IF(ZOZNAM!R248=\"\",\"\",ZOZNAM!R248),\"\")","v":""},{"$f":"IF($A257<>\"\",IF(ZOZNAM!S248=\"\",\"\",ZOZNAM!S248),\"\")","v":""},{"$f":"IF($A257<>\"\",IF(ZOZNAM!T248=\"\",\"\",ZOZNAM!T248),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C253)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C253)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C253)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C253)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C253)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C253)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L253)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L253)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L253)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L253)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L253)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L253)),FALSE))),ZOZNAM!G253>=$C$9),ZOZNAM!A253,\"\")","v":"UN001"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!B253=\"\",\"\",ZOZNAM!B253),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A262<>\"\",IF(ZOZNAM!C253=\"\",\"\",ZOZNAM!C253),\"\")","v":"Advanced Microeconometrics"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!D253=\"\",\"\",ZOZNAM!D253),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!E253=\"\",\"\",ZOZNAM!E253),\"\")","v":5},{"$f":"IF($A262<>\"\",IF(ZOZNAM!F253=\"\",\"\",ZOZNAM!F253),\"\")","v":5},{"$f":"IF($A262<>\"\",IF(ZOZNAM!G253=\"\",\"\",ZOZNAM!G253),\"\")","v":"2019-06-03"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!H253=\"\",\"\",ZOZNAM!H253),\"\")","v":"2019-06-07"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!I253=\"\",\"\",ZOZNAM!I253),\"\")","v":"1000 CHF"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!J253=\"\",\"\",ZOZNAM!J253),\"\")","v":""},{"$f":"IF($A262<>\"\",IF(ZOZNAM!K253=\"\",\"\",ZOZNAM!K253),\"\")","v":"https://www.gserm.ch/stgallen/courses/"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!L253=\"\",\"\",ZOZNAM!L253),\"\")","v":"The course covers two main areas in applied microeconometrics: Panel data analysis and nonparametric estimation. Panel data are widely used in applied work, and linear, non-linear and non-parametric panel data analysis will be examined. We will first also discuss nonparametric regression in a cross-section context. The course will focus particularly on econometric theory. This is an PhD course."},{"$f":"IF($A262<>\"\",IF(ZOZNAM!M253=\"\",\"\",ZOZNAM!M253),\"\")","v":""},{"$f":"IF($A262<>\"\",IF(ZOZNAM!N253=\"\",\"\",ZOZNAM!N253),\"\")","v":"nie"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!O253=\"\",\"\",ZOZNAM!O253),\"\")","v":"nie"},{"$f":"IF($A262<>\"\",IF(ZOZNAM!P253=\"\",\"\",ZOZNAM!P253),\"\")","v":1.67},{"$f":"IF($A262<>\"\",IF(ZOZNAM!Q253=\"\",\"\",ZOZNAM!Q253),\"\")","v":""},{"$f":"IF($A262<>\"\",IF(ZOZNAM!R253=\"\",\"\",ZOZNAM!R253),\"\")","v":""},{"$f":"IF($A262<>\"\",IF(ZOZNAM!S253=\"\",\"\",ZOZNAM!S253),\"\")","v":""},{"$f":"IF($A262<>\"\",IF(ZOZNAM!T253=\"\",\"\",ZOZNAM!T253),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C254)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C254)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C254)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C254)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C254)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C254)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L254)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L254)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L254)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L254)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L254)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L254)),FALSE))),ZOZNAM!G254>=$C$9),ZOZNAM!A254,\"\")","v":"UN002"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!B254=\"\",\"\",ZOZNAM!B254),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A263<>\"\",IF(ZOZNAM!C254=\"\",\"\",ZOZNAM!C254),\"\")","v":"Regression Analysis for Spatial Data"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!D254=\"\",\"\",ZOZNAM!D254),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!E254=\"\",\"\",ZOZNAM!E254),\"\")","v":5},{"$f":"IF($A263<>\"\",IF(ZOZNAM!F254=\"\",\"\",ZOZNAM!F254),\"\")","v":5},{"$f":"IF($A263<>\"\",IF(ZOZNAM!G254=\"\",\"\",ZOZNAM!G254),\"\")","v":"2019-06-03"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!H254=\"\",\"\",ZOZNAM!H254),\"\")","v":"2019-06-07"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!I254=\"\",\"\",ZOZNAM!I254),\"\")","v":"1700 CHF"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!J254=\"\",\"\",ZOZNAM!J254),\"\")","v":""},{"$f":"IF($A263<>\"\",IF(ZOZNAM!K254=\"\",\"\",ZOZNAM!K254),\"\")","v":"https://www.gserm.ch/stgallen/courses/"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!L254=\"\",\"\",ZOZNAM!L254),\"\")","v":"This course focuses on the visualization and modeling of spatial data. Examples are taken from different research areas. \nIt offers a detailed explanation of individual estimation methods and their implementation in R. \nIn this course, students will learn:\n-  to generate a variety of different maps that visualize the location of spatial units\n- how maximum likelihood estimation works and how to set up and optimize a likelihood function in R\n- to deal with computational problems that are frequently accounted when working with spatial data\n- to increase computation speed using concentrated maximum likelihood and the matrix exponential spatial specification model\n- to estimate a spatial regression model both, with cross-sectional and with time-series data\n- to properly interpret the output from a spatial regression model and how to investigate policy interventions.\n- a basic background on spatial interaction models, heterogeneous coefficient SAR models, and spatio-temporal models\n"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!M254=\"\",\"\",ZOZNAM!M254),\"\")","v":""},{"$f":"IF($A263<>\"\",IF(ZOZNAM!N254=\"\",\"\",ZOZNAM!N254),\"\")","v":"nie"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!O254=\"\",\"\",ZOZNAM!O254),\"\")","v":"nie"},{"$f":"IF($A263<>\"\",IF(ZOZNAM!P254=\"\",\"\",ZOZNAM!P254),\"\")","v":1.67},{"$f":"IF($A263<>\"\",IF(ZOZNAM!Q254=\"\",\"\",ZOZNAM!Q254),\"\")","v":""},{"$f":"IF($A263<>\"\",IF(ZOZNAM!R254=\"\",\"\",ZOZNAM!R254),\"\")","v":""},{"$f":"IF($A263<>\"\",IF(ZOZNAM!S254=\"\",\"\",ZOZNAM!S254),\"\")","v":""},{"$f":"IF($A263<>\"\",IF(ZOZNAM!T254=\"\",\"\",ZOZNAM!T254),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C255)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C255)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C255)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C255)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C255)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C255)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L255)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L255)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L255)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L255)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L255)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L255)),FALSE))),ZOZNAM!G255>=$C$9),ZOZNAM!A255,\"\")","v":"UN003"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!B255=\"\",\"\",ZOZNAM!B255),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A264<>\"\",IF(ZOZNAM!C255=\"\",\"\",ZOZNAM!C255),\"\")","v":"Analyzing Survey Research Data"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!D255=\"\",\"\",ZOZNAM!D255),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!E255=\"\",\"\",ZOZNAM!E255),\"\")","v":5},{"$f":"IF($A264<>\"\",IF(ZOZNAM!F255=\"\",\"\",ZOZNAM!F255),\"\")","v":5},{"$f":"IF($A264<>\"\",IF(ZOZNAM!G255=\"\",\"\",ZOZNAM!G255),\"\")","v":"2019-06-03"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!H255=\"\",\"\",ZOZNAM!H255),\"\")","v":"2019-06-07"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!I255=\"\",\"\",ZOZNAM!I255),\"\")","v":"1700 CHF"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!J255=\"\",\"\",ZOZNAM!J255),\"\")","v":""},{"$f":"IF($A264<>\"\",IF(ZOZNAM!K255=\"\",\"\",ZOZNAM!K255),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,855"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!L255=\"\",\"\",ZOZNAM!L255),\"\")","v":"The course will cover a variety of strategies for producing quantitative (usually interval-level) variables from qualitative survey responses (which are usually believed to be measured at the nominal or ordinal level). \nCourse includes topics:\n- a discussion of measurement theory, giving detailed consideration to such concepts as measurement level and measurement accuracy. \n- optimal scaling strategies, for assigning numbers to objects.\n- variety of methods for combining multiple survey responses in order to produce higher-quality summary measures (unfolding techniques /sometimes called “ideal points estimation”/ and related methods; summated rating /or “Likert”/ ) \n- scales and reliability of measurement; principal components analysis; item response theory; factor analysis; multidimensional scaling; the vector model for profile data; and correspondence analysis. \n\n"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!M255=\"\",\"\",ZOZNAM!M255),\"\")","v":""},{"$f":"IF($A264<>\"\",IF(ZOZNAM!N255=\"\",\"\",ZOZNAM!N255),\"\")","v":"nie"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!O255=\"\",\"\",ZOZNAM!O255),\"\")","v":"nie"},{"$f":"IF($A264<>\"\",IF(ZOZNAM!P255=\"\",\"\",ZOZNAM!P255),\"\")","v":1.67},{"$f":"IF($A264<>\"\",IF(ZOZNAM!Q255=\"\",\"\",ZOZNAM!Q255),\"\")","v":""},{"$f":"IF($A264<>\"\",IF(ZOZNAM!R255=\"\",\"\",ZOZNAM!R255),\"\")","v":""},{"$f":"IF($A264<>\"\",IF(ZOZNAM!S255=\"\",\"\",ZOZNAM!S255),\"\")","v":""},{"$f":"IF($A264<>\"\",IF(ZOZNAM!T255=\"\",\"\",ZOZNAM!T255),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C256)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C256)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C256)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C256)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C256)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C256)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L256)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L256)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L256)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L256)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L256)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L256)),FALSE))),ZOZNAM!G256>=$C$9),ZOZNAM!A256,\"\")","v":"UN004"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!B256=\"\",\"\",ZOZNAM!B256),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A265<>\"\",IF(ZOZNAM!C256=\"\",\"\",ZOZNAM!C256),\"\")","v":"Machine Learning with R - Introduction"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!D256=\"\",\"\",ZOZNAM!D256),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!E256=\"\",\"\",ZOZNAM!E256),\"\")","v":5},{"$f":"IF($A265<>\"\",IF(ZOZNAM!F256=\"\",\"\",ZOZNAM!F256),\"\")","v":5},{"$f":"IF($A265<>\"\",IF(ZOZNAM!G256=\"\",\"\",ZOZNAM!G256),\"\")","v":"2019-06-03"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!H256=\"\",\"\",ZOZNAM!H256),\"\")","v":"2019-06-07"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!I256=\"\",\"\",ZOZNAM!I256),\"\")","v":"1700 CHF"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!J256=\"\",\"\",ZOZNAM!J256),\"\")","v":""},{"$f":"IF($A265<>\"\",IF(ZOZNAM!K256=\"\",\"\",ZOZNAM!K256),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,834"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!L256=\"\",\"\",ZOZNAM!L256),\"\")","v":"This course is intended to be an introduction to machine learning methods through the exploration of real-world examples. It will cover the basic math and statistical theory needed to understand and apply many of the most common machine learning techniques, but no advanced math or programming skills are required. The target audience may include social scientists or practitioners who are interested in understanding more about these methods and their applications. "},{"$f":"IF($A265<>\"\",IF(ZOZNAM!M256=\"\",\"\",ZOZNAM!M256),\"\")","v":""},{"$f":"IF($A265<>\"\",IF(ZOZNAM!N256=\"\",\"\",ZOZNAM!N256),\"\")","v":"nie"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!O256=\"\",\"\",ZOZNAM!O256),\"\")","v":"nie"},{"$f":"IF($A265<>\"\",IF(ZOZNAM!P256=\"\",\"\",ZOZNAM!P256),\"\")","v":1.67},{"$f":"IF($A265<>\"\",IF(ZOZNAM!Q256=\"\",\"\",ZOZNAM!Q256),\"\")","v":""},{"$f":"IF($A265<>\"\",IF(ZOZNAM!R256=\"\",\"\",ZOZNAM!R256),\"\")","v":""},{"$f":"IF($A265<>\"\",IF(ZOZNAM!S256=\"\",\"\",ZOZNAM!S256),\"\")","v":""},{"$f":"IF($A265<>\"\",IF(ZOZNAM!T256=\"\",\"\",ZOZNAM!T256),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C257)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C257)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C257)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C257)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C257)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C257)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L257)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L257)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L257)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L257)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L257)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L257)),FALSE))),ZOZNAM!G257>=$C$9),ZOZNAM!A257,\"\")","v":"UN005"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!B257=\"\",\"\",ZOZNAM!B257),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A266<>\"\",IF(ZOZNAM!C257=\"\",\"\",ZOZNAM!C257),\"\")","v":"Regression I - Introduction"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!D257=\"\",\"\",ZOZNAM!D257),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!E257=\"\",\"\",ZOZNAM!E257),\"\")","v":5},{"$f":"IF($A266<>\"\",IF(ZOZNAM!F257=\"\",\"\",ZOZNAM!F257),\"\")","v":5},{"$f":"IF($A266<>\"\",IF(ZOZNAM!G257=\"\",\"\",ZOZNAM!G257),\"\")","v":"2019-06-03"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!H257=\"\",\"\",ZOZNAM!H257),\"\")","v":"2019-06-07"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!I257=\"\",\"\",ZOZNAM!I257),\"\")","v":"1700 CHF"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!J257=\"\",\"\",ZOZNAM!J257),\"\")","v":""},{"$f":"IF($A266<>\"\",IF(ZOZNAM!K257=\"\",\"\",ZOZNAM!K257),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,800"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!L257=\"\",\"\",ZOZNAM!L257),\"\")","v":"The primary goal is to develop an applied and intuitive (as opposed to purely theoretical or mathematical) understanding of the topics and procedures. \nThe course will begin with a quick review of basic univariate statistics and hypothesis testing.\nThen it will cover various topics in bivariate and then multiple regression, including:\n\n• Model specification and interpretation.\n\n• Diagnostic tests and plots.\n\n• Analysis of residuals and outliers.\n\n• Transformations to induce linearity.\n\n• Interaction (“Multiplicative”) terms.\n\n• Multicollinearity.\n\n• Dichotomous (“Dummy”) independent variables.\n\n• Categorical (e.g., Likert scale) independent variables."},{"$f":"IF($A266<>\"\",IF(ZOZNAM!M257=\"\",\"\",ZOZNAM!M257),\"\")","v":""},{"$f":"IF($A266<>\"\",IF(ZOZNAM!N257=\"\",\"\",ZOZNAM!N257),\"\")","v":"nie"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!O257=\"\",\"\",ZOZNAM!O257),\"\")","v":"nie"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!P257=\"\",\"\",ZOZNAM!P257),\"\")","v":1.67},{"$f":"IF($A266<>\"\",IF(ZOZNAM!Q257=\"\",\"\",ZOZNAM!Q257),\"\")","v":1},{"$f":"IF($A266<>\"\",IF(ZOZNAM!R257=\"\",\"\",ZOZNAM!R257),\"\")","v":1},{"$f":"IF($A266<>\"\",IF(ZOZNAM!S257=\"\",\"\",ZOZNAM!S257),\"\")","v":"Začiatočníkom"},{"$f":"IF($A266<>\"\",IF(ZOZNAM!T257=\"\",\"\",ZOZNAM!T257),\"\")","v":"V rámci kurzu prevažovala teória, dbá sa na praktickú a intuitívnu znalosť, hoci vyučujúci ako profesor matematiky vie ísť aj do hĺbky. Nadobudnuté znalosti neviažu na nejaký konkrétny software, čo môže byť výhodou."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C258)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C258)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C258)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C258)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C258)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C258)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L258)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L258)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L258)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L258)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L258)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L258)),FALSE))),ZOZNAM!G258>=$C$9),ZOZNAM!A258,\"\")","v":"UN006"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!B258=\"\",\"\",ZOZNAM!B258),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A267<>\"\",IF(ZOZNAM!C258=\"\",\"\",ZOZNAM!C258),\"\")","v":"Meta-Analysis - Beyond Data Synthesis"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!D258=\"\",\"\",ZOZNAM!D258),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!E258=\"\",\"\",ZOZNAM!E258),\"\")","v":5},{"$f":"IF($A267<>\"\",IF(ZOZNAM!F258=\"\",\"\",ZOZNAM!F258),\"\")","v":5},{"$f":"IF($A267<>\"\",IF(ZOZNAM!G258=\"\",\"\",ZOZNAM!G258),\"\")","v":"2019-06-03"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!H258=\"\",\"\",ZOZNAM!H258),\"\")","v":"2019-06-07"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!I258=\"\",\"\",ZOZNAM!I258),\"\")","v":"1700 CHF"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!J258=\"\",\"\",ZOZNAM!J258),\"\")","v":""},{"$f":"IF($A267<>\"\",IF(ZOZNAM!K258=\"\",\"\",ZOZNAM!K258),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,852"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!L258=\"\",\"\",ZOZNAM!L258),\"\")","v":"The course aims to teach the development of coding questionnaires, coding of studies and to show how the analysis of the data is done, how the conclusions can be drawn and how to present the findings, and thus give some indications on how to get published in a top journal. The benefits and limitations of meta-analysis are discussed both in theory as well as empirically. We will discuss the following steps in the meta-analysis research process:\n\n1.  Selection of topic and research proposition;\n2.  Collection of studies;\n3.  Development of coding questionnaires;\n4.  Coding of studies;\n5. Analysis of the data, conclusions, and presentation of findings and also explain how to get your work published in a top journal."},{"$f":"IF($A267<>\"\",IF(ZOZNAM!M258=\"\",\"\",ZOZNAM!M258),\"\")","v":""},{"$f":"IF($A267<>\"\",IF(ZOZNAM!N258=\"\",\"\",ZOZNAM!N258),\"\")","v":"nie"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!O258=\"\",\"\",ZOZNAM!O258),\"\")","v":"nie"},{"$f":"IF($A267<>\"\",IF(ZOZNAM!P258=\"\",\"\",ZOZNAM!P258),\"\")","v":1.67},{"$f":"IF($A267<>\"\",IF(ZOZNAM!Q258=\"\",\"\",ZOZNAM!Q258),\"\")","v":""},{"$f":"IF($A267<>\"\",IF(ZOZNAM!R258=\"\",\"\",ZOZNAM!R258),\"\")","v":""},{"$f":"IF($A267<>\"\",IF(ZOZNAM!S258=\"\",\"\",ZOZNAM!S258),\"\")","v":""},{"$f":"IF($A267<>\"\",IF(ZOZNAM!T258=\"\",\"\",ZOZNAM!T258),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C259)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C259)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C259)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C259)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C259)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C259)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L259)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L259)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L259)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L259)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L259)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L259)),FALSE))),ZOZNAM!G259>=$C$9),ZOZNAM!A259,\"\")","v":"UN007"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!B259=\"\",\"\",ZOZNAM!B259),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A268<>\"\",IF(ZOZNAM!C259=\"\",\"\",ZOZNAM!C259),\"\")","v":"Bayesian Data Analysis"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!D259=\"\",\"\",ZOZNAM!D259),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!E259=\"\",\"\",ZOZNAM!E259),\"\")","v":5},{"$f":"IF($A268<>\"\",IF(ZOZNAM!F259=\"\",\"\",ZOZNAM!F259),\"\")","v":5},{"$f":"IF($A268<>\"\",IF(ZOZNAM!G259=\"\",\"\",ZOZNAM!G259),\"\")","v":"2019-06-03"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!H259=\"\",\"\",ZOZNAM!H259),\"\")","v":"2019-06-07"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!I259=\"\",\"\",ZOZNAM!I259),\"\")","v":"1700 CHF"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!J259=\"\",\"\",ZOZNAM!J259),\"\")","v":""},{"$f":"IF($A268<>\"\",IF(ZOZNAM!K259=\"\",\"\",ZOZNAM!K259),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,820"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!L259=\"\",\"\",ZOZNAM!L259),\"\")","v":"This course shows you how to do Bayesian data analysis, hands on.\n\nCourse Objectives: You will learn:\nThe rich information provided by Bayesian analysis and how it differs from traditional (Frequentist) statistical analysis\nThe concepts of Bayesian reasoning along with the easy math and intuitions for Bayes’ rule\nThe concepts and hands-on use of modern algorithms (“Markov chain Monte Carlo”) that achieve Bayesian analysis for realistic applications\nHow to use the free software R and JAGS for Bayesian analysis, readily useable and adaptable for your research applications\nAn extensive array of applications, including comparison of two groups, ANOVA-like designs, linear regression, and logistic regression.\nHow to apply Bayesian estimation to hierarchical (multi-level) models. See more details in the list of topics, below.\nWhat to look for when doing data analysis in a variety of other software settings, including SPSS, SAS, JASP, M-Plus and packages like brms or r-stan-arm in R."},{"$f":"IF($A268<>\"\",IF(ZOZNAM!M259=\"\",\"\",ZOZNAM!M259),\"\")","v":""},{"$f":"IF($A268<>\"\",IF(ZOZNAM!N259=\"\",\"\",ZOZNAM!N259),\"\")","v":"nie"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!O259=\"\",\"\",ZOZNAM!O259),\"\")","v":"nie"},{"$f":"IF($A268<>\"\",IF(ZOZNAM!P259=\"\",\"\",ZOZNAM!P259),\"\")","v":1.67},{"$f":"IF($A268<>\"\",IF(ZOZNAM!Q259=\"\",\"\",ZOZNAM!Q259),\"\")","v":""},{"$f":"IF($A268<>\"\",IF(ZOZNAM!R259=\"\",\"\",ZOZNAM!R259),\"\")","v":""},{"$f":"IF($A268<>\"\",IF(ZOZNAM!S259=\"\",\"\",ZOZNAM!S259),\"\")","v":""},{"$f":"IF($A268<>\"\",IF(ZOZNAM!T259=\"\",\"\",ZOZNAM!T259),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C260)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C260)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C260)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C260)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C260)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C260)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L260)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L260)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L260)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L260)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L260)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L260)),FALSE))),ZOZNAM!G260>=$C$9),ZOZNAM!A260,\"\")","v":"UN008"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!B260=\"\",\"\",ZOZNAM!B260),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A269<>\"\",IF(ZOZNAM!C260=\"\",\"\",ZOZNAM!C260),\"\")","v":"Qualitative Research Methods & Data Analysis"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!D260=\"\",\"\",ZOZNAM!D260),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!E260=\"\",\"\",ZOZNAM!E260),\"\")","v":5},{"$f":"IF($A269<>\"\",IF(ZOZNAM!F260=\"\",\"\",ZOZNAM!F260),\"\")","v":5},{"$f":"IF($A269<>\"\",IF(ZOZNAM!G260=\"\",\"\",ZOZNAM!G260),\"\")","v":"2019-06-03"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!H260=\"\",\"\",ZOZNAM!H260),\"\")","v":"2019-06-07"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!I260=\"\",\"\",ZOZNAM!I260),\"\")","v":"1700 CHF"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!J260=\"\",\"\",ZOZNAM!J260),\"\")","v":""},{"$f":"IF($A269<>\"\",IF(ZOZNAM!K260=\"\",\"\",ZOZNAM!K260),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,822"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!L260=\"\",\"\",ZOZNAM!L260),\"\")","v":"This course will discuss both descriptive and interpretive qualitative studies. Qualitative approaches such as grounded theory, narrative analysis, and case studies will be deined. The course will briefly cover research design and data collection strategies but will largely focus on analysis. In particular, it will consider how researchers develop codes and integrate memo writing into a larger analytic process. \nOne day will be spend by learning a qualitative analysis software package, ATLAS.ti. The methods discussed in the course will be applicable to qualitative studies in a range of fields, including the behavioral sciences, social sciences, health sciences, communications, and business."},{"$f":"IF($A269<>\"\",IF(ZOZNAM!M260=\"\",\"\",ZOZNAM!M260),\"\")","v":""},{"$f":"IF($A269<>\"\",IF(ZOZNAM!N260=\"\",\"\",ZOZNAM!N260),\"\")","v":"nie"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!O260=\"\",\"\",ZOZNAM!O260),\"\")","v":"nie"},{"$f":"IF($A269<>\"\",IF(ZOZNAM!P260=\"\",\"\",ZOZNAM!P260),\"\")","v":1.67},{"$f":"IF($A269<>\"\",IF(ZOZNAM!Q260=\"\",\"\",ZOZNAM!Q260),\"\")","v":""},{"$f":"IF($A269<>\"\",IF(ZOZNAM!R260=\"\",\"\",ZOZNAM!R260),\"\")","v":""},{"$f":"IF($A269<>\"\",IF(ZOZNAM!S260=\"\",\"\",ZOZNAM!S260),\"\")","v":""},{"$f":"IF($A269<>\"\",IF(ZOZNAM!T260=\"\",\"\",ZOZNAM!T260),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C261)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C261)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C261)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C261)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C261)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C261)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L261)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L261)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L261)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L261)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L261)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L261)),FALSE))),ZOZNAM!G261>=$C$9),ZOZNAM!A261,\"\")","v":"UN009"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!B261=\"\",\"\",ZOZNAM!B261),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A270<>\"\",IF(ZOZNAM!C261=\"\",\"\",ZOZNAM!C261),\"\")","v":"Network Analysis - Statistical Analysis of Social Network Data"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!D261=\"\",\"\",ZOZNAM!D261),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!E261=\"\",\"\",ZOZNAM!E261),\"\")","v":5},{"$f":"IF($A270<>\"\",IF(ZOZNAM!F261=\"\",\"\",ZOZNAM!F261),\"\")","v":5},{"$f":"IF($A270<>\"\",IF(ZOZNAM!G261=\"\",\"\",ZOZNAM!G261),\"\")","v":"2019-06-03"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!H261=\"\",\"\",ZOZNAM!H261),\"\")","v":"2019-06-07"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!I261=\"\",\"\",ZOZNAM!I261),\"\")","v":"1700 CHF"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!J261=\"\",\"\",ZOZNAM!J261),\"\")","v":""},{"$f":"IF($A270<>\"\",IF(ZOZNAM!K261=\"\",\"\",ZOZNAM!K261),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,828"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!L261=\"\",\"\",ZOZNAM!L261),\"\")","v":"This course presents concepts and methods applicable for the analysis of a wide range of social networks, such as those based on family ties, business collaboration, political alliances, and social media.\n\nSince network data are generated in a different way that many other kinds of social data, the course begins by considering the research designs, sampling strategies, and data formats that are commonly associated with network analysis.  A key aspect of performing network analysis is describing various elements of the network’s structure.  To this end, the course covers the calculation of a variety of descriptive statistics on networks, such as density, centralization, centrality, connectedness, reciprocity, and transitivity.  It considers various ways of visualizing networks, including multidimensional scaling and spring embedding.  Students will learn methods of estimating regressions in which network ties are the dependent variable, including the quadratic assignment procedure and exponential random graph models (ERGMs); consider extensions of ERGMs, including models for two-mode data and networks over time."},{"$f":"IF($A270<>\"\",IF(ZOZNAM!M261=\"\",\"\",ZOZNAM!M261),\"\")","v":""},{"$f":"IF($A270<>\"\",IF(ZOZNAM!N261=\"\",\"\",ZOZNAM!N261),\"\")","v":"nie"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!O261=\"\",\"\",ZOZNAM!O261),\"\")","v":"nie"},{"$f":"IF($A270<>\"\",IF(ZOZNAM!P261=\"\",\"\",ZOZNAM!P261),\"\")","v":1.67},{"$f":"IF($A270<>\"\",IF(ZOZNAM!Q261=\"\",\"\",ZOZNAM!Q261),\"\")","v":""},{"$f":"IF($A270<>\"\",IF(ZOZNAM!R261=\"\",\"\",ZOZNAM!R261),\"\")","v":""},{"$f":"IF($A270<>\"\",IF(ZOZNAM!S261=\"\",\"\",ZOZNAM!S261),\"\")","v":""},{"$f":"IF($A270<>\"\",IF(ZOZNAM!T261=\"\",\"\",ZOZNAM!T261),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C262)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C262)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C262)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C262)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C262)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C262)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L262)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L262)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L262)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L262)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L262)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L262)),FALSE))),ZOZNAM!G262>=$C$9),ZOZNAM!A262,\"\")","v":"UN010"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!B262=\"\",\"\",ZOZNAM!B262),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A271<>\"\",IF(ZOZNAM!C262=\"\",\"\",ZOZNAM!C262),\"\")","v":"Analyzing Unstructured Data"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!D262=\"\",\"\",ZOZNAM!D262),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!E262=\"\",\"\",ZOZNAM!E262),\"\")","v":5},{"$f":"IF($A271<>\"\",IF(ZOZNAM!F262=\"\",\"\",ZOZNAM!F262),\"\")","v":5},{"$f":"IF($A271<>\"\",IF(ZOZNAM!G262=\"\",\"\",ZOZNAM!G262),\"\")","v":"2019-06-03"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!H262=\"\",\"\",ZOZNAM!H262),\"\")","v":"2019-06-07"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!I262=\"\",\"\",ZOZNAM!I262),\"\")","v":"1700 CHF"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!J262=\"\",\"\",ZOZNAM!J262),\"\")","v":""},{"$f":"IF($A271<>\"\",IF(ZOZNAM!K262=\"\",\"\",ZOZNAM!K262),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,810"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!L262=\"\",\"\",ZOZNAM!L262),\"\")","v":"In this course, students will explore different statistical\napproaches that have proven useful in making sense out of unstructured data. The course is centered around business and psychology applications that involve the analyses of text and images as well as well as their relationships with meta-data. For most of the analyses, R will be used. "},{"$f":"IF($A271<>\"\",IF(ZOZNAM!M262=\"\",\"\",ZOZNAM!M262),\"\")","v":""},{"$f":"IF($A271<>\"\",IF(ZOZNAM!N262=\"\",\"\",ZOZNAM!N262),\"\")","v":"nie"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!O262=\"\",\"\",ZOZNAM!O262),\"\")","v":"nie"},{"$f":"IF($A271<>\"\",IF(ZOZNAM!P262=\"\",\"\",ZOZNAM!P262),\"\")","v":1.67},{"$f":"IF($A271<>\"\",IF(ZOZNAM!Q262=\"\",\"\",ZOZNAM!Q262),\"\")","v":""},{"$f":"IF($A271<>\"\",IF(ZOZNAM!R262=\"\",\"\",ZOZNAM!R262),\"\")","v":""},{"$f":"IF($A271<>\"\",IF(ZOZNAM!S262=\"\",\"\",ZOZNAM!S262),\"\")","v":""},{"$f":"IF($A271<>\"\",IF(ZOZNAM!T262=\"\",\"\",ZOZNAM!T262),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C263)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C263)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C263)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C263)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C263)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C263)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L263)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L263)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L263)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L263)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L263)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L263)),FALSE))),ZOZNAM!G263>=$C$9),ZOZNAM!A263,\"\")","v":"UN011"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!B263=\"\",\"\",ZOZNAM!B263),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A272<>\"\",IF(ZOZNAM!C263=\"\",\"\",ZOZNAM!C263),\"\")","v":"Structural Equation Models I"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!D263=\"\",\"\",ZOZNAM!D263),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!E263=\"\",\"\",ZOZNAM!E263),\"\")","v":5},{"$f":"IF($A272<>\"\",IF(ZOZNAM!F263=\"\",\"\",ZOZNAM!F263),\"\")","v":5},{"$f":"IF($A272<>\"\",IF(ZOZNAM!G263=\"\",\"\",ZOZNAM!G263),\"\")","v":"2019-06-10"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!H263=\"\",\"\",ZOZNAM!H263),\"\")","v":"2019-06-14"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!I263=\"\",\"\",ZOZNAM!I263),\"\")","v":"1700 CHF"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!J263=\"\",\"\",ZOZNAM!J263),\"\")","v":""},{"$f":"IF($A272<>\"\",IF(ZOZNAM!K263=\"\",\"\",ZOZNAM!K263),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,804"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!L263=\"\",\"\",ZOZNAM!L263),\"\")","v":"Course content\n\nIntroduction to latent variable models, measurement error, path diagrams.\nEstimation, identification, interpretation of model parameters.\nScaling and interpretation issues\nScalar programming for structural equation models in STATA\nScalar programming for structural equation models: an overview of other software\nModel fit and model improvement\nGeneral linear parameter constraints\nMultiple-group models\nA gentle introduction to structural equation models in matrix form\nIntroduction to models for means and intercepts\nModel assumptions; implications of violations of assumptions."},{"$f":"IF($A272<>\"\",IF(ZOZNAM!M263=\"\",\"\",ZOZNAM!M263),\"\")","v":""},{"$f":"IF($A272<>\"\",IF(ZOZNAM!N263=\"\",\"\",ZOZNAM!N263),\"\")","v":"nie"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!O263=\"\",\"\",ZOZNAM!O263),\"\")","v":"nie"},{"$f":"IF($A272<>\"\",IF(ZOZNAM!P263=\"\",\"\",ZOZNAM!P263),\"\")","v":1.67},{"$f":"IF($A272<>\"\",IF(ZOZNAM!Q263=\"\",\"\",ZOZNAM!Q263),\"\")","v":""},{"$f":"IF($A272<>\"\",IF(ZOZNAM!R263=\"\",\"\",ZOZNAM!R263),\"\")","v":""},{"$f":"IF($A272<>\"\",IF(ZOZNAM!S263=\"\",\"\",ZOZNAM!S263),\"\")","v":""},{"$f":"IF($A272<>\"\",IF(ZOZNAM!T263=\"\",\"\",ZOZNAM!T263),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C264)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C264)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C264)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C264)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C264)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C264)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L264)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L264)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L264)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L264)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L264)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L264)),FALSE))),ZOZNAM!G264>=$C$9),ZOZNAM!A264,\"\")","v":"UN012"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!B264=\"\",\"\",ZOZNAM!B264),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A273<>\"\",IF(ZOZNAM!C264=\"\",\"\",ZOZNAM!C264),\"\")","v":"Mediation, Moderation, and Conditional Process Analysis I"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!D264=\"\",\"\",ZOZNAM!D264),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!E264=\"\",\"\",ZOZNAM!E264),\"\")","v":5},{"$f":"IF($A273<>\"\",IF(ZOZNAM!F264=\"\",\"\",ZOZNAM!F264),\"\")","v":5},{"$f":"IF($A273<>\"\",IF(ZOZNAM!G264=\"\",\"\",ZOZNAM!G264),\"\")","v":"2019-06-10"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!H264=\"\",\"\",ZOZNAM!H264),\"\")","v":"2019-06-14"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!I264=\"\",\"\",ZOZNAM!I264),\"\")","v":"1700 CHF"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!J264=\"\",\"\",ZOZNAM!J264),\"\")","v":""},{"$f":"IF($A273<>\"\",IF(ZOZNAM!K264=\"\",\"\",ZOZNAM!K264),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,850"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!L264=\"\",\"\",ZOZNAM!L264),\"\")","v":"Topics covered in this five-day course include:\n\nPath analysis: Direct, indirect, and total effects in mediation models.\nEstimation and inference about indirect effects in single mediator models.\nModels with multiple mediators\nMediation analysis in the two-condition within-subject design.\nEstimation of moderation and conditional effects.\nProbing and visualizing interactions.\nConditional Process Analysis (also known as “moderated mediation”)\nQuantification of and inference about conditional indirect effects.\nTesting a moderated mediation hypothesis and comparing conditional indirect effects"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!M264=\"\",\"\",ZOZNAM!M264),\"\")","v":""},{"$f":"IF($A273<>\"\",IF(ZOZNAM!N264=\"\",\"\",ZOZNAM!N264),\"\")","v":"nie"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!O264=\"\",\"\",ZOZNAM!O264),\"\")","v":"nie"},{"$f":"IF($A273<>\"\",IF(ZOZNAM!P264=\"\",\"\",ZOZNAM!P264),\"\")","v":1.67},{"$f":"IF($A273<>\"\",IF(ZOZNAM!Q264=\"\",\"\",ZOZNAM!Q264),\"\")","v":""},{"$f":"IF($A273<>\"\",IF(ZOZNAM!R264=\"\",\"\",ZOZNAM!R264),\"\")","v":""},{"$f":"IF($A273<>\"\",IF(ZOZNAM!S264=\"\",\"\",ZOZNAM!S264),\"\")","v":""},{"$f":"IF($A273<>\"\",IF(ZOZNAM!T264=\"\",\"\",ZOZNAM!T264),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C265)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C265)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C265)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C265)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C265)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C265)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L265)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L265)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L265)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L265)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L265)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L265)),FALSE))),ZOZNAM!G265>=$C$9),ZOZNAM!A265,\"\")","v":"UN013"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!B265=\"\",\"\",ZOZNAM!B265),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A274<>\"\",IF(ZOZNAM!C265=\"\",\"\",ZOZNAM!C265),\"\")","v":"Machine Learning with R - Advanced"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!D265=\"\",\"\",ZOZNAM!D265),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!E265=\"\",\"\",ZOZNAM!E265),\"\")","v":5},{"$f":"IF($A274<>\"\",IF(ZOZNAM!F265=\"\",\"\",ZOZNAM!F265),\"\")","v":5},{"$f":"IF($A274<>\"\",IF(ZOZNAM!G265=\"\",\"\",ZOZNAM!G265),\"\")","v":"2019-06-10"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!H265=\"\",\"\",ZOZNAM!H265),\"\")","v":"2019-06-14"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!I265=\"\",\"\",ZOZNAM!I265),\"\")","v":"1700 CHF"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!J265=\"\",\"\",ZOZNAM!J265),\"\")","v":""},{"$f":"IF($A274<>\"\",IF(ZOZNAM!K265=\"\",\"\",ZOZNAM!K265),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,835"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!L265=\"\",\"\",ZOZNAM!L265),\"\")","v":"The goal of this course is to prepare students to independently apply machine learning methods to their own tasks. We will cover the practical techniques that are not often found in textbooks but discovered through hands-on experience. The target audience includes students who are interested in applying ML knowledge to more difficult problems and learning more advanced techniques to improve the performance of traditional ML methods."},{"$f":"IF($A274<>\"\",IF(ZOZNAM!M265=\"\",\"\",ZOZNAM!M265),\"\")","v":""},{"$f":"IF($A274<>\"\",IF(ZOZNAM!N265=\"\",\"\",ZOZNAM!N265),\"\")","v":"nie"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!O265=\"\",\"\",ZOZNAM!O265),\"\")","v":"nie"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!P265=\"\",\"\",ZOZNAM!P265),\"\")","v":1.67},{"$f":"IF($A274<>\"\",IF(ZOZNAM!Q265=\"\",\"\",ZOZNAM!Q265),\"\")","v":2},{"$f":"IF($A274<>\"\",IF(ZOZNAM!R265=\"\",\"\",ZOZNAM!R265),\"\")","v":1},{"$f":"IF($A274<>\"\",IF(ZOZNAM!S265=\"\",\"\",ZOZNAM!S265),\"\")","v":"Pokročilým"},{"$f":"IF($A274<>\"\",IF(ZOZNAM!T265=\"\",\"\",ZOZNAM!T265),\"\")","v":"V rámci kurzu bol každý deň venovaný inému problému, s ktorým je potrebné sa vysporiadať v procese modelovania. Po teoretickom úvode, do ktorého účastníci kurzu prispievali svojimi poznatkami z praxe, ale tiež samoštúdia (materiály na samoštúdium zasielané vždy deň vopred) nasledovala aplikácia poznatkov pri riešení vopred zadanej úlohy v skupinách (forma \"machine learning competition\" využívanej napríklad na portáli Kaggle). "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C266)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C266)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C266)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C266)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C266)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C266)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L266)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L266)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L266)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L266)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L266)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L266)),FALSE))),ZOZNAM!G266>=$C$9),ZOZNAM!A266,\"\")","v":"UN014"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!B266=\"\",\"\",ZOZNAM!B266),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A275<>\"\",IF(ZOZNAM!C266=\"\",\"\",ZOZNAM!C266),\"\")","v":"Regression Analysis II - Linear Models"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!D266=\"\",\"\",ZOZNAM!D266),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!E266=\"\",\"\",ZOZNAM!E266),\"\")","v":5},{"$f":"IF($A275<>\"\",IF(ZOZNAM!F266=\"\",\"\",ZOZNAM!F266),\"\")","v":5},{"$f":"IF($A275<>\"\",IF(ZOZNAM!G266=\"\",\"\",ZOZNAM!G266),\"\")","v":"2019-06-10"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!H266=\"\",\"\",ZOZNAM!H266),\"\")","v":"2019-06-14"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!I266=\"\",\"\",ZOZNAM!I266),\"\")","v":"1700 CHF"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!J266=\"\",\"\",ZOZNAM!J266),\"\")","v":""},{"$f":"IF($A275<>\"\",IF(ZOZNAM!K266=\"\",\"\",ZOZNAM!K266),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,830"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!L266=\"\",\"\",ZOZNAM!L266),\"\")","v":"The goal is to develop an applied and intuitive (not purely theoretical or mathematical) understanding of the topics and procedures, so that participants can use them in their own research and also understand the work of others. Whenever possible presentations will be in “Words,” “Picture,” and “Math” languages in order to appeal to a variety of learning styles.\n\nAdvanced regression topics will be covered only after the foundations have been established. The ordinary least squares multiple regression topics that will be covered include:\n\nVarious F‑tests (e.g., group significance test; Chow test; relative importance of\nvariables and groups of variables; comparison of overall model performance).\nCategorical independent variables (e.g., new tests for “Intervalness” and\n“Collapsing”).\nDichotomous dependent variables: Logit and Probit analysis.\nOutliers, influence, and leverage.\nAdvanced diagnostic plots and graphical techniques.\nMatrix algebra: A quick primer. (Optional)\nRegression models… now from a matrix perspective.\nHeteroskedasticity: Definition, consequences, detection, and correction.\nAutocorrelation: Definition, consequences, detection, and correction.\nGeneralized Least Squares (GLS) and Weighted Least Squares (WLS)."},{"$f":"IF($A275<>\"\",IF(ZOZNAM!M266=\"\",\"\",ZOZNAM!M266),\"\")","v":""},{"$f":"IF($A275<>\"\",IF(ZOZNAM!N266=\"\",\"\",ZOZNAM!N266),\"\")","v":"nie"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!O266=\"\",\"\",ZOZNAM!O266),\"\")","v":"nie"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!P266=\"\",\"\",ZOZNAM!P266),\"\")","v":1.67},{"$f":"IF($A275<>\"\",IF(ZOZNAM!Q266=\"\",\"\",ZOZNAM!Q266),\"\")","v":2},{"$f":"IF($A275<>\"\",IF(ZOZNAM!R266=\"\",\"\",ZOZNAM!R266),\"\")","v":1},{"$f":"IF($A275<>\"\",IF(ZOZNAM!S266=\"\",\"\",ZOZNAM!S266),\"\")","v":"Začiatočníkom"},{"$f":"IF($A275<>\"\",IF(ZOZNAM!T266=\"\",\"\",ZOZNAM!T266),\"\")","v":"Kurz bol z hľadiska teórie a praxe vyvážený. Prednášajúci boli odborníci aj výborní pedagógovia."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C267)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C267)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C267)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C267)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C267)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C267)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L267)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L267)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L267)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L267)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L267)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L267)),FALSE))),ZOZNAM!G267>=$C$9),ZOZNAM!A267,\"\")","v":"UN015"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!B267=\"\",\"\",ZOZNAM!B267),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A276<>\"\",IF(ZOZNAM!C267=\"\",\"\",ZOZNAM!C267),\"\")","v":"Qualitative Comparative Analysis"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!D267=\"\",\"\",ZOZNAM!D267),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!E267=\"\",\"\",ZOZNAM!E267),\"\")","v":5},{"$f":"IF($A276<>\"\",IF(ZOZNAM!F267=\"\",\"\",ZOZNAM!F267),\"\")","v":5},{"$f":"IF($A276<>\"\",IF(ZOZNAM!G267=\"\",\"\",ZOZNAM!G267),\"\")","v":"2019-06-10"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!H267=\"\",\"\",ZOZNAM!H267),\"\")","v":"2019-06-14"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!I267=\"\",\"\",ZOZNAM!I267),\"\")","v":"1700 CHF"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!J267=\"\",\"\",ZOZNAM!J267),\"\")","v":""},{"$f":"IF($A276<>\"\",IF(ZOZNAM!K267=\"\",\"\",ZOZNAM!K267),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,808"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!L267=\"\",\"\",ZOZNAM!L267),\"\")","v":"Course will cover topics:\n\nSocial research as a process of constructing empirically grounded representations\nThe case-oriented/variable oriented distinction\nThe distinctiveness of configurational comparative research\nWhat is QCA?\nIntroduction to Boolean algebra and set theoretic methods\nSet-theoretic analysis vs. correlational analysis\nNecessity and sufficiency\nConsistency, coverage, coincidence\nCase-oriented research strategies for theory building\nOverview of crisp-set QCA (csQCA)\nExamples of crisp set analyses\nA set-theoretic approach to counterfactual analysis\nThe three solutions—complex, parsimonious, and intermediate\nEasy versus difficult counterfactuals\nThe impact of assumptions on counterfactual analysis\nConsistency and coverage in crisp-set truth table analysis\nFuzzy sets and fuzzy set relations\nCalibrating fuzzy sets\nFuzzy set consistency, coverage, and coincidence\nFuzzy-set coverage: raw versus unique versus solution coverage\nLimited diversity, fuzzy sets, and counterfactual analysis\nThe fuzzy-set truth table algorithm"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!M267=\"\",\"\",ZOZNAM!M267),\"\")","v":""},{"$f":"IF($A276<>\"\",IF(ZOZNAM!N267=\"\",\"\",ZOZNAM!N267),\"\")","v":"nie"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!O267=\"\",\"\",ZOZNAM!O267),\"\")","v":"nie"},{"$f":"IF($A276<>\"\",IF(ZOZNAM!P267=\"\",\"\",ZOZNAM!P267),\"\")","v":1.67},{"$f":"IF($A276<>\"\",IF(ZOZNAM!Q267=\"\",\"\",ZOZNAM!Q267),\"\")","v":""},{"$f":"IF($A276<>\"\",IF(ZOZNAM!R267=\"\",\"\",ZOZNAM!R267),\"\")","v":""},{"$f":"IF($A276<>\"\",IF(ZOZNAM!S267=\"\",\"\",ZOZNAM!S267),\"\")","v":""},{"$f":"IF($A276<>\"\",IF(ZOZNAM!T267=\"\",\"\",ZOZNAM!T267),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C268)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C268)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C268)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C268)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C268)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C268)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L268)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L268)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L268)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L268)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L268)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L268)),FALSE))),ZOZNAM!G268>=$C$9),ZOZNAM!A268,\"\")","v":"UN016"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!B268=\"\",\"\",ZOZNAM!B268),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A277<>\"\",IF(ZOZNAM!C268=\"\",\"\",ZOZNAM!C268),\"\")","v":"Designing and Analyzing Discrete Choice Experiments"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!D268=\"\",\"\",ZOZNAM!D268),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!E268=\"\",\"\",ZOZNAM!E268),\"\")","v":5},{"$f":"IF($A277<>\"\",IF(ZOZNAM!F268=\"\",\"\",ZOZNAM!F268),\"\")","v":5},{"$f":"IF($A277<>\"\",IF(ZOZNAM!G268=\"\",\"\",ZOZNAM!G268),\"\")","v":"2019-06-10"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!H268=\"\",\"\",ZOZNAM!H268),\"\")","v":"2019-06-14"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!I268=\"\",\"\",ZOZNAM!I268),\"\")","v":"1700 CHF"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!J268=\"\",\"\",ZOZNAM!J268),\"\")","v":""},{"$f":"IF($A277<>\"\",IF(ZOZNAM!K268=\"\",\"\",ZOZNAM!K268),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,858"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!L268=\"\",\"\",ZOZNAM!L268),\"\")","v":"The first objective of the course is to provide students with an understanding of the basic principles of conducting discrete choice experiments (also known as conjoint choice analysis) and to review several recent advances in the area. The second objective is for students to learn to design, collect data for, analyze, and present the results of their own initial empirical discrete choice experiment study.\n\nTopics that are covered include:\n\n1. Defining the decision problem for discrete choice experiments (DCEs).\n\n2. Selecting attributes, attribute-levels, and dependent variables for DCEs.\n\n3. Creating efficient experimental designs for DCEs.\n\n4. Developing an online DCE questionnaire and coding DCE data.\n\n5. Collecting data for DCEs.\n\n6. Analyzing DCE data.\n\n7. Drawing conclusions from DCEs and presenting conclusions and recommendations."},{"$f":"IF($A277<>\"\",IF(ZOZNAM!M268=\"\",\"\",ZOZNAM!M268),\"\")","v":""},{"$f":"IF($A277<>\"\",IF(ZOZNAM!N268=\"\",\"\",ZOZNAM!N268),\"\")","v":"nie"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!O268=\"\",\"\",ZOZNAM!O268),\"\")","v":"nie"},{"$f":"IF($A277<>\"\",IF(ZOZNAM!P268=\"\",\"\",ZOZNAM!P268),\"\")","v":1.67},{"$f":"IF($A277<>\"\",IF(ZOZNAM!Q268=\"\",\"\",ZOZNAM!Q268),\"\")","v":""},{"$f":"IF($A277<>\"\",IF(ZOZNAM!R268=\"\",\"\",ZOZNAM!R268),\"\")","v":""},{"$f":"IF($A277<>\"\",IF(ZOZNAM!S268=\"\",\"\",ZOZNAM!S268),\"\")","v":""},{"$f":"IF($A277<>\"\",IF(ZOZNAM!T268=\"\",\"\",ZOZNAM!T268),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C269)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C269)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C269)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C269)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C269)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C269)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L269)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L269)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L269)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L269)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L269)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L269)),FALSE))),ZOZNAM!G269>=$C$9),ZOZNAM!A269,\"\")","v":"UN017"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!B269=\"\",\"\",ZOZNAM!B269),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A278<>\"\",IF(ZOZNAM!C269=\"\",\"\",ZOZNAM!C269),\"\")","v":"Statistical Learning and Applications"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!D269=\"\",\"\",ZOZNAM!D269),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!E269=\"\",\"\",ZOZNAM!E269),\"\")","v":5},{"$f":"IF($A278<>\"\",IF(ZOZNAM!F269=\"\",\"\",ZOZNAM!F269),\"\")","v":5},{"$f":"IF($A278<>\"\",IF(ZOZNAM!G269=\"\",\"\",ZOZNAM!G269),\"\")","v":"2019-06-10"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!H269=\"\",\"\",ZOZNAM!H269),\"\")","v":"2019-06-14"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!I269=\"\",\"\",ZOZNAM!I269),\"\")","v":"1700 CHF"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!J269=\"\",\"\",ZOZNAM!J269),\"\")","v":""},{"$f":"IF($A278<>\"\",IF(ZOZNAM!K269=\"\",\"\",ZOZNAM!K269),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,376"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!L269=\"\",\"\",ZOZNAM!L269),\"\")","v":"This is a first course on statistical/machine learning and high-dimensional data analysis, aiming at providing a mathematical toolkit to deal with large datasets.\n\nA tentative list of topics which will be covered is as follows: (\n\n- ‘Statistical Learning’ aka ‘Learning Theory’ , ‘Machine Learning’\n- Examples from various scientific disciplines\n- Similarities and differences with related fields: multivariate statistics, high-dimensional analysis, computational statistics, Bayesian statistics, data mining, computer vision, artificial intelligence, etc.\n- topics of MATHEMATICAL FRAMEWORK"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!M269=\"\",\"\",ZOZNAM!M269),\"\")","v":""},{"$f":"IF($A278<>\"\",IF(ZOZNAM!N269=\"\",\"\",ZOZNAM!N269),\"\")","v":"nie"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!O269=\"\",\"\",ZOZNAM!O269),\"\")","v":"nie"},{"$f":"IF($A278<>\"\",IF(ZOZNAM!P269=\"\",\"\",ZOZNAM!P269),\"\")","v":1.67},{"$f":"IF($A278<>\"\",IF(ZOZNAM!Q269=\"\",\"\",ZOZNAM!Q269),\"\")","v":""},{"$f":"IF($A278<>\"\",IF(ZOZNAM!R269=\"\",\"\",ZOZNAM!R269),\"\")","v":""},{"$f":"IF($A278<>\"\",IF(ZOZNAM!S269=\"\",\"\",ZOZNAM!S269),\"\")","v":""},{"$f":"IF($A278<>\"\",IF(ZOZNAM!T269=\"\",\"\",ZOZNAM!T269),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C270)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C270)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C270)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C270)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C270)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C270)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L270)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L270)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L270)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L270)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L270)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L270)),FALSE))),ZOZNAM!G270>=$C$9),ZOZNAM!A270,\"\")","v":"UN018"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!B270=\"\",\"\",ZOZNAM!B270),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A279<>\"\",IF(ZOZNAM!C270=\"\",\"\",ZOZNAM!C270),\"\")","v":"Regression: Foundations & Application Using R"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!D270=\"\",\"\",ZOZNAM!D270),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!E270=\"\",\"\",ZOZNAM!E270),\"\")","v":5},{"$f":"IF($A279<>\"\",IF(ZOZNAM!F270=\"\",\"\",ZOZNAM!F270),\"\")","v":5},{"$f":"IF($A279<>\"\",IF(ZOZNAM!G270=\"\",\"\",ZOZNAM!G270),\"\")","v":"2019-06-10"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!H270=\"\",\"\",ZOZNAM!H270),\"\")","v":"2019-06-14"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!I270=\"\",\"\",ZOZNAM!I270),\"\")","v":"1700 CHF"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!J270=\"\",\"\",ZOZNAM!J270),\"\")","v":""},{"$f":"IF($A279<>\"\",IF(ZOZNAM!K270=\"\",\"\",ZOZNAM!K270),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,814"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!L270=\"\",\"\",ZOZNAM!L270),\"\")","v":"After a brief introduction to Matrix Algebra (no prior training in linear or matrix algebra is required), students will re-derive the Ordinary Least Squares Estimator using Matrix Algebra and find how the Standard Errors can be calculated for Hypothesis Testing.  Course will begin to relax so-called “Regression Assumptions” to move beyond Ordinary Least Squares (OLS) into Generalized Least Squares (GLS).  Non-uniform variance in the errors (Heteroskedasticity) and Autocorrelated errors (Time series) will receive particular attention. "},{"$f":"IF($A279<>\"\",IF(ZOZNAM!M270=\"\",\"\",ZOZNAM!M270),\"\")","v":""},{"$f":"IF($A279<>\"\",IF(ZOZNAM!N270=\"\",\"\",ZOZNAM!N270),\"\")","v":"nie"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!O270=\"\",\"\",ZOZNAM!O270),\"\")","v":"nie"},{"$f":"IF($A279<>\"\",IF(ZOZNAM!P270=\"\",\"\",ZOZNAM!P270),\"\")","v":1.67},{"$f":"IF($A279<>\"\",IF(ZOZNAM!Q270=\"\",\"\",ZOZNAM!Q270),\"\")","v":""},{"$f":"IF($A279<>\"\",IF(ZOZNAM!R270=\"\",\"\",ZOZNAM!R270),\"\")","v":""},{"$f":"IF($A279<>\"\",IF(ZOZNAM!S270=\"\",\"\",ZOZNAM!S270),\"\")","v":""},{"$f":"IF($A279<>\"\",IF(ZOZNAM!T270=\"\",\"\",ZOZNAM!T270),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C271)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C271)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C271)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C271)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C271)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C271)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L271)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L271)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L271)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L271)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L271)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L271)),FALSE))),ZOZNAM!G271>=$C$9),ZOZNAM!A271,\"\")","v":"UN019"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!B271=\"\",\"\",ZOZNAM!B271),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A280<>\"\",IF(ZOZNAM!C271=\"\",\"\",ZOZNAM!C271),\"\")","v":"Basic and Advanced Multilevel Modeling with R and Stan"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!D271=\"\",\"\",ZOZNAM!D271),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!E271=\"\",\"\",ZOZNAM!E271),\"\")","v":5},{"$f":"IF($A280<>\"\",IF(ZOZNAM!F271=\"\",\"\",ZOZNAM!F271),\"\")","v":5},{"$f":"IF($A280<>\"\",IF(ZOZNAM!G271=\"\",\"\",ZOZNAM!G271),\"\")","v":"2019-06-10"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!H271=\"\",\"\",ZOZNAM!H271),\"\")","v":"2019-06-14"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!I271=\"\",\"\",ZOZNAM!I271),\"\")","v":"1700 CHF"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!J271=\"\",\"\",ZOZNAM!J271),\"\")","v":""},{"$f":"IF($A280<>\"\",IF(ZOZNAM!K271=\"\",\"\",ZOZNAM!K271),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,812"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!L271=\"\",\"\",ZOZNAM!L271),\"\")","v":"Class combines work from econometrics, statistics/biostatistics, and psychometrics. The class is structured using a maximum likelihood framework with practical applied Bayesian extensions on different topics. R packages are selected specifically to make the transition from MLE to Bayesian multilevel models as straightforward and seamless as possible. \n\nSpecific topics include:\n\n·         Random intercept and random slope models\n\n·         Cross-classified and multiple membership models\n\n·         Generalized linear mixed models"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!M271=\"\",\"\",ZOZNAM!M271),\"\")","v":""},{"$f":"IF($A280<>\"\",IF(ZOZNAM!N271=\"\",\"\",ZOZNAM!N271),\"\")","v":"nie"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!O271=\"\",\"\",ZOZNAM!O271),\"\")","v":"nie"},{"$f":"IF($A280<>\"\",IF(ZOZNAM!P271=\"\",\"\",ZOZNAM!P271),\"\")","v":1.67},{"$f":"IF($A280<>\"\",IF(ZOZNAM!Q271=\"\",\"\",ZOZNAM!Q271),\"\")","v":""},{"$f":"IF($A280<>\"\",IF(ZOZNAM!R271=\"\",\"\",ZOZNAM!R271),\"\")","v":""},{"$f":"IF($A280<>\"\",IF(ZOZNAM!S271=\"\",\"\",ZOZNAM!S271),\"\")","v":""},{"$f":"IF($A280<>\"\",IF(ZOZNAM!T271=\"\",\"\",ZOZNAM!T271),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C272)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C272)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C272)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C272)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C272)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C272)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L272)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L272)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L272)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L272)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L272)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L272)),FALSE))),ZOZNAM!G272>=$C$9),ZOZNAM!A272,\"\")","v":"UN020"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!B272=\"\",\"\",ZOZNAM!B272),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A281<>\"\",IF(ZOZNAM!C272=\"\",\"\",ZOZNAM!C272),\"\")","v":"Mixed Methods Research"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!D272=\"\",\"\",ZOZNAM!D272),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!E272=\"\",\"\",ZOZNAM!E272),\"\")","v":5},{"$f":"IF($A281<>\"\",IF(ZOZNAM!F272=\"\",\"\",ZOZNAM!F272),\"\")","v":5},{"$f":"IF($A281<>\"\",IF(ZOZNAM!G272=\"\",\"\",ZOZNAM!G272),\"\")","v":"2019-06-10"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!H272=\"\",\"\",ZOZNAM!H272),\"\")","v":"2019-06-14"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!I272=\"\",\"\",ZOZNAM!I272),\"\")","v":"1700 CHF"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!J272=\"\",\"\",ZOZNAM!J272),\"\")","v":""},{"$f":"IF($A281<>\"\",IF(ZOZNAM!K272=\"\",\"\",ZOZNAM!K272),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,802"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!L272=\"\",\"\",ZOZNAM!L272),\"\")","v":"This course will enable students to capitalize on the strengths of quantitative and qualitative research to advance knowledge and understanding in the social and behavioral sciences. It will briefly review the philosophy and methodology of qualitative and quantitative research necessary for advancement to mixed methods research. Then, the following will be explained, discussed, and applied for mixed methods research (MMR): (a) definitions of MMR; (b) history of MMR, (c) philosophies and paradigms in MMR; (d) identifying major types of MMR (e.g., quantitatively driven, qualitatively driven, and interactive MMR); (e) writing research questions in MMR; (f) methods of data collection in MMR; (g) research methods/methodologies/theoretical frameworks in MMR; (h) sampling designs in MMR; (i) validity and legitimation of results in MMR; (j) constructing basic and advanced MMR research designs; (k) integration in MMR; (l) analyzing data in MMR; (m) writing reports in MMR, and (n) publishing and disseminating MM research."},{"$f":"IF($A281<>\"\",IF(ZOZNAM!M272=\"\",\"\",ZOZNAM!M272),\"\")","v":""},{"$f":"IF($A281<>\"\",IF(ZOZNAM!N272=\"\",\"\",ZOZNAM!N272),\"\")","v":"nie"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!O272=\"\",\"\",ZOZNAM!O272),\"\")","v":"nie"},{"$f":"IF($A281<>\"\",IF(ZOZNAM!P272=\"\",\"\",ZOZNAM!P272),\"\")","v":1.67},{"$f":"IF($A281<>\"\",IF(ZOZNAM!Q272=\"\",\"\",ZOZNAM!Q272),\"\")","v":""},{"$f":"IF($A281<>\"\",IF(ZOZNAM!R272=\"\",\"\",ZOZNAM!R272),\"\")","v":""},{"$f":"IF($A281<>\"\",IF(ZOZNAM!S272=\"\",\"\",ZOZNAM!S272),\"\")","v":""},{"$f":"IF($A281<>\"\",IF(ZOZNAM!T272=\"\",\"\",ZOZNAM!T272),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C273)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C273)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C273)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C273)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C273)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C273)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L273)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L273)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L273)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L273)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L273)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L273)),FALSE))),ZOZNAM!G273>=$C$9),ZOZNAM!A273,\"\")","v":"UN021"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!B273=\"\",\"\",ZOZNAM!B273),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A282<>\"\",IF(ZOZNAM!C273=\"\",\"\",ZOZNAM!C273),\"\")","v":"Applied Deep Learning in Python"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!D273=\"\",\"\",ZOZNAM!D273),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!E273=\"\",\"\",ZOZNAM!E273),\"\")","v":5},{"$f":"IF($A282<>\"\",IF(ZOZNAM!F273=\"\",\"\",ZOZNAM!F273),\"\")","v":5},{"$f":"IF($A282<>\"\",IF(ZOZNAM!G273=\"\",\"\",ZOZNAM!G273),\"\")","v":"2019-06-10"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!H273=\"\",\"\",ZOZNAM!H273),\"\")","v":"2019-06-14"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!I273=\"\",\"\",ZOZNAM!I273),\"\")","v":"1700 CHF"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!J273=\"\",\"\",ZOZNAM!J273),\"\")","v":""},{"$f":"IF($A282<>\"\",IF(ZOZNAM!K273=\"\",\"\",ZOZNAM!K273),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,860"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!L273=\"\",\"\",ZOZNAM!L273),\"\")","v":"In this course, you will acquire some fundamental knowledge as well as practical skills in deep learning. It will look at the topic with a problem-solving approach having short input lectures, focusing rather on programming and practical applications of the models."},{"$f":"IF($A282<>\"\",IF(ZOZNAM!M273=\"\",\"\",ZOZNAM!M273),\"\")","v":""},{"$f":"IF($A282<>\"\",IF(ZOZNAM!N273=\"\",\"\",ZOZNAM!N273),\"\")","v":"nie"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!O273=\"\",\"\",ZOZNAM!O273),\"\")","v":"nie"},{"$f":"IF($A282<>\"\",IF(ZOZNAM!P273=\"\",\"\",ZOZNAM!P273),\"\")","v":1.67},{"$f":"IF($A282<>\"\",IF(ZOZNAM!Q273=\"\",\"\",ZOZNAM!Q273),\"\")","v":""},{"$f":"IF($A282<>\"\",IF(ZOZNAM!R273=\"\",\"\",ZOZNAM!R273),\"\")","v":""},{"$f":"IF($A282<>\"\",IF(ZOZNAM!S273=\"\",\"\",ZOZNAM!S273),\"\")","v":""},{"$f":"IF($A282<>\"\",IF(ZOZNAM!T273=\"\",\"\",ZOZNAM!T273),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C274)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C274)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C274)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C274)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C274)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C274)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L274)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L274)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L274)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L274)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L274)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L274)),FALSE))),ZOZNAM!G274>=$C$9),ZOZNAM!A274,\"\")","v":"UN022"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!B274=\"\",\"\",ZOZNAM!B274),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A283<>\"\",IF(ZOZNAM!C274=\"\",\"\",ZOZNAM!C274),\"\")","v":"Case Study Methods"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!D274=\"\",\"\",ZOZNAM!D274),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!E274=\"\",\"\",ZOZNAM!E274),\"\")","v":5},{"$f":"IF($A283<>\"\",IF(ZOZNAM!F274=\"\",\"\",ZOZNAM!F274),\"\")","v":5},{"$f":"IF($A283<>\"\",IF(ZOZNAM!G274=\"\",\"\",ZOZNAM!G274),\"\")","v":"2019-06-17"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!H274=\"\",\"\",ZOZNAM!H274),\"\")","v":"2019-06-21"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!I274=\"\",\"\",ZOZNAM!I274),\"\")","v":"1700 CHF"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!J274=\"\",\"\",ZOZNAM!J274),\"\")","v":""},{"$f":"IF($A283<>\"\",IF(ZOZNAM!K274=\"\",\"\",ZOZNAM!K274),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,832"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!L274=\"\",\"\",ZOZNAM!L274),\"\")","v":"The central goal of the seminar is to enable students to create and critique methodologically sophisticated case study research designs in the social sciences. To do so, the seminar will explore the techniques, uses, strengths, and limitations of case study methods, while emphasizing the relationships among these methods, alternative methods, and contemporary debates in the philosophy of science. The research examples used to illustrate methodological issues will be drawn primarily from international relations and comparative politics. The methodological content of the course is also applicable, however, to the study of history, sociology, education, business, economics, and other social and behavioral sciences."},{"$f":"IF($A283<>\"\",IF(ZOZNAM!M274=\"\",\"\",ZOZNAM!M274),\"\")","v":""},{"$f":"IF($A283<>\"\",IF(ZOZNAM!N274=\"\",\"\",ZOZNAM!N274),\"\")","v":"nie"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!O274=\"\",\"\",ZOZNAM!O274),\"\")","v":"nie"},{"$f":"IF($A283<>\"\",IF(ZOZNAM!P274=\"\",\"\",ZOZNAM!P274),\"\")","v":1.67},{"$f":"IF($A283<>\"\",IF(ZOZNAM!Q274=\"\",\"\",ZOZNAM!Q274),\"\")","v":""},{"$f":"IF($A283<>\"\",IF(ZOZNAM!R274=\"\",\"\",ZOZNAM!R274),\"\")","v":""},{"$f":"IF($A283<>\"\",IF(ZOZNAM!S274=\"\",\"\",ZOZNAM!S274),\"\")","v":""},{"$f":"IF($A283<>\"\",IF(ZOZNAM!T274=\"\",\"\",ZOZNAM!T274),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C275)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C275)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C275)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C275)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C275)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C275)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L275)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L275)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L275)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L275)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L275)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L275)),FALSE))),ZOZNAM!G275>=$C$9),ZOZNAM!A275,\"\")","v":"UN023"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!B275=\"\",\"\",ZOZNAM!B275),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A284<>\"\",IF(ZOZNAM!C275=\"\",\"\",ZOZNAM!C275),\"\")","v":"Data Mining"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!D275=\"\",\"\",ZOZNAM!D275),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!E275=\"\",\"\",ZOZNAM!E275),\"\")","v":5},{"$f":"IF($A284<>\"\",IF(ZOZNAM!F275=\"\",\"\",ZOZNAM!F275),\"\")","v":5},{"$f":"IF($A284<>\"\",IF(ZOZNAM!G275=\"\",\"\",ZOZNAM!G275),\"\")","v":"2019-06-17"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!H275=\"\",\"\",ZOZNAM!H275),\"\")","v":"2019-06-21"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!I275=\"\",\"\",ZOZNAM!I275),\"\")","v":"1700 CHF"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!J275=\"\",\"\",ZOZNAM!J275),\"\")","v":""},{"$f":"IF($A284<>\"\",IF(ZOZNAM!K275=\"\",\"\",ZOZNAM!K275),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,824"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!L275=\"\",\"\",ZOZNAM!L275),\"\")","v":"This course is designed as an introduction to DM, aiming at providing fundamentals, methodologies, tools, and logic behind DM algorithms in practioners‘ perspective (i.e., practical use of DM). Therefore, it is intended to focus on fundamental DM concepts, characteristics of algorithms, and their usage, while not delving into technical details of algorithm development. Particularly, top 10 data mining algorithms previously indentified by researchers and practioners will be discussed  in the lecture as they are among the most influential DM algorithms. Students will gain practical skiils through hands-on exercises with open-source tools for real-life datasets they bring to the class. Additionally, students will gain insight into data and the whole DM process, including data preparation, feature/instance selection, algorithim application to specific data types, and performance evaluation. Therefore, after this course, students can further adapt exising algorithms and tools to address their own data with confidence. At the end of the course, recent trends, tools, relationships with related fields, and future development with be briefly discussed."},{"$f":"IF($A284<>\"\",IF(ZOZNAM!M275=\"\",\"\",ZOZNAM!M275),\"\")","v":""},{"$f":"IF($A284<>\"\",IF(ZOZNAM!N275=\"\",\"\",ZOZNAM!N275),\"\")","v":"nie"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!O275=\"\",\"\",ZOZNAM!O275),\"\")","v":"nie"},{"$f":"IF($A284<>\"\",IF(ZOZNAM!P275=\"\",\"\",ZOZNAM!P275),\"\")","v":1.67},{"$f":"IF($A284<>\"\",IF(ZOZNAM!Q275=\"\",\"\",ZOZNAM!Q275),\"\")","v":""},{"$f":"IF($A284<>\"\",IF(ZOZNAM!R275=\"\",\"\",ZOZNAM!R275),\"\")","v":""},{"$f":"IF($A284<>\"\",IF(ZOZNAM!S275=\"\",\"\",ZOZNAM!S275),\"\")","v":""},{"$f":"IF($A284<>\"\",IF(ZOZNAM!T275=\"\",\"\",ZOZNAM!T275),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C276)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C276)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C276)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C276)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C276)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C276)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L276)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L276)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L276)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L276)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L276)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L276)),FALSE))),ZOZNAM!G276>=$C$9),ZOZNAM!A276,\"\")","v":"UN024"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!B276=\"\",\"\",ZOZNAM!B276),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A285<>\"\",IF(ZOZNAM!C276=\"\",\"\",ZOZNAM!C276),\"\")","v":"Time Series Analysis - Introduction"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!D276=\"\",\"\",ZOZNAM!D276),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!E276=\"\",\"\",ZOZNAM!E276),\"\")","v":5},{"$f":"IF($A285<>\"\",IF(ZOZNAM!F276=\"\",\"\",ZOZNAM!F276),\"\")","v":5},{"$f":"IF($A285<>\"\",IF(ZOZNAM!G276=\"\",\"\",ZOZNAM!G276),\"\")","v":"2019-06-17"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!H276=\"\",\"\",ZOZNAM!H276),\"\")","v":"2019-06-21"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!I276=\"\",\"\",ZOZNAM!I276),\"\")","v":"1700 CHF"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!J276=\"\",\"\",ZOZNAM!J276),\"\")","v":""},{"$f":"IF($A285<>\"\",IF(ZOZNAM!K276=\"\",\"\",ZOZNAM!K276),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,836"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!L276=\"\",\"\",ZOZNAM!L276),\"\")","v":"This course provides an introduction to methods of time series analysis, building upon students’ background knowledge in statistical inference and regression analysis. We will begin with basic descriptive methods for viewing time series data and then talk about stationarity assumptions and how violations of these assumptions threaten inferences in regression analyses of time series data. Students will also learn about autoregressive integrated moving average (ARIMA) models, including autocorrelation (ACF) and partial autocorrelation (PACF) functions. We will review several statistical tests for unit roots, serial correlation, and normality. Students will be introduced to regression based time series models, such as the autoregressive distributed lag (ADL) model, as well as more advanced models such as the error correction and GARCH models. We will also learn about modeling interventions in time series data."},{"$f":"IF($A285<>\"\",IF(ZOZNAM!M276=\"\",\"\",ZOZNAM!M276),\"\")","v":""},{"$f":"IF($A285<>\"\",IF(ZOZNAM!N276=\"\",\"\",ZOZNAM!N276),\"\")","v":"nie"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!O276=\"\",\"\",ZOZNAM!O276),\"\")","v":"nie"},{"$f":"IF($A285<>\"\",IF(ZOZNAM!P276=\"\",\"\",ZOZNAM!P276),\"\")","v":1.67},{"$f":"IF($A285<>\"\",IF(ZOZNAM!Q276=\"\",\"\",ZOZNAM!Q276),\"\")","v":""},{"$f":"IF($A285<>\"\",IF(ZOZNAM!R276=\"\",\"\",ZOZNAM!R276),\"\")","v":""},{"$f":"IF($A285<>\"\",IF(ZOZNAM!S276=\"\",\"\",ZOZNAM!S276),\"\")","v":""},{"$f":"IF($A285<>\"\",IF(ZOZNAM!T276=\"\",\"\",ZOZNAM!T276),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C277)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C277)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C277)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C277)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C277)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C277)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L277)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L277)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L277)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L277)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L277)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L277)),FALSE))),ZOZNAM!G277>=$C$9),ZOZNAM!A277,\"\")","v":"UN025"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!B277=\"\",\"\",ZOZNAM!B277),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A286<>\"\",IF(ZOZNAM!C277=\"\",\"\",ZOZNAM!C277),\"\")","v":"Categorical Data Analysis"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!D277=\"\",\"\",ZOZNAM!D277),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!E277=\"\",\"\",ZOZNAM!E277),\"\")","v":5},{"$f":"IF($A286<>\"\",IF(ZOZNAM!F277=\"\",\"\",ZOZNAM!F277),\"\")","v":5},{"$f":"IF($A286<>\"\",IF(ZOZNAM!G277=\"\",\"\",ZOZNAM!G277),\"\")","v":"2019-06-17"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!H277=\"\",\"\",ZOZNAM!H277),\"\")","v":"2019-06-21"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!I277=\"\",\"\",ZOZNAM!I277),\"\")","v":"1700 CHF"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!J277=\"\",\"\",ZOZNAM!J277),\"\")","v":""},{"$f":"IF($A286<>\"\",IF(ZOZNAM!K277=\"\",\"\",ZOZNAM!K277),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,838"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!L277=\"\",\"\",ZOZNAM!L277),\"\")","v":"This course will begin by using the familiar linear regression framework to discuss conceptual ideas of identification and the general concept of maximum likelihood. Then, proceed to discuss the philosophical ideas of categorical measurement, ‘deriving’ (non‑mathematically) the binary logit model using both latent variable & transformational approaches. It will then examine estimation & post‑estimation of the binary logit & probit models, including interpretations of factor change coefficients (odds ratios), predicted probabilities, discrete change & marginal change. Following binary regression models, we will briefly discuss examinations of testing & fit for non‑linear models, including tests of significance & model specification, and examination of residuals, outliers & model influence. We will then examine interactions within the binary framework & discuss the implications of model assumptions on tests for group differences (or fully‑interactive models). Models for ordinal and nominal dependent variables will follow, including ordinal logit & probit and multinomial logit, with a focus on the assumptions of the ordinal regression model & a review of potential post‑estimation techniques & interpretations. Of special focus for nominal &             ordinal variables will be graphical techniques for presenting results & testing the parallel regression assumption. Finally, the course will conclude with discussion of count models as an extension of the binomial model, including Poisson, negative binomial & zero‑modified variant model."},{"$f":"IF($A286<>\"\",IF(ZOZNAM!M277=\"\",\"\",ZOZNAM!M277),\"\")","v":""},{"$f":"IF($A286<>\"\",IF(ZOZNAM!N277=\"\",\"\",ZOZNAM!N277),\"\")","v":"nie"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!O277=\"\",\"\",ZOZNAM!O277),\"\")","v":"nie"},{"$f":"IF($A286<>\"\",IF(ZOZNAM!P277=\"\",\"\",ZOZNAM!P277),\"\")","v":1.67},{"$f":"IF($A286<>\"\",IF(ZOZNAM!Q277=\"\",\"\",ZOZNAM!Q277),\"\")","v":""},{"$f":"IF($A286<>\"\",IF(ZOZNAM!R277=\"\",\"\",ZOZNAM!R277),\"\")","v":""},{"$f":"IF($A286<>\"\",IF(ZOZNAM!S277=\"\",\"\",ZOZNAM!S277),\"\")","v":""},{"$f":"IF($A286<>\"\",IF(ZOZNAM!T277=\"\",\"\",ZOZNAM!T277),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C278)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C278)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C278)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C278)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C278)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C278)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L278)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L278)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L278)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L278)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L278)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L278)),FALSE))),ZOZNAM!G278>=$C$9),ZOZNAM!A278,\"\")","v":"UN026"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!B278=\"\",\"\",ZOZNAM!B278),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A287<>\"\",IF(ZOZNAM!C278=\"\",\"\",ZOZNAM!C278),\"\")","v":"Longitudinal Data Analysis"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!D278=\"\",\"\",ZOZNAM!D278),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!E278=\"\",\"\",ZOZNAM!E278),\"\")","v":5},{"$f":"IF($A287<>\"\",IF(ZOZNAM!F278=\"\",\"\",ZOZNAM!F278),\"\")","v":5},{"$f":"IF($A287<>\"\",IF(ZOZNAM!G278=\"\",\"\",ZOZNAM!G278),\"\")","v":"2019-06-17"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!H278=\"\",\"\",ZOZNAM!H278),\"\")","v":"2019-06-21"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!I278=\"\",\"\",ZOZNAM!I278),\"\")","v":"1700 CHF"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!J278=\"\",\"\",ZOZNAM!J278),\"\")","v":""},{"$f":"IF($A287<>\"\",IF(ZOZNAM!K278=\"\",\"\",ZOZNAM!K278),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,818"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!L278=\"\",\"\",ZOZNAM!L278),\"\")","v":"The subject matter of the course is regression models for data that vary both over cross-sectional units and across time. The course will begin with a discussion of the relevant dimensions of variation in such data, and discuss some of the challenges and opportunities that such data provide. It will move on to models for one-way unit effects (fixed, between, and random), models for complex panel error structures, dynamic panel models, and nonlinear models for discrete dependent variables. The second part of the course will focus on models for time-to-event (“survival,” or “event history”) data. In every case, students will learn the statistical theory behind the various models, details about estimation and inference, and techniques for the substantive interpretation of statistical results. Students will also develop statistical software skills for fitting and interpreting the models in question, and will use the models in both simulated and real data applications. Students will leave the course with a thorough understanding of both the theoretical and practical aspects of conducting analyses of longitudinal data."},{"$f":"IF($A287<>\"\",IF(ZOZNAM!M278=\"\",\"\",ZOZNAM!M278),\"\")","v":""},{"$f":"IF($A287<>\"\",IF(ZOZNAM!N278=\"\",\"\",ZOZNAM!N278),\"\")","v":"nie"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!O278=\"\",\"\",ZOZNAM!O278),\"\")","v":"nie"},{"$f":"IF($A287<>\"\",IF(ZOZNAM!P278=\"\",\"\",ZOZNAM!P278),\"\")","v":1.67},{"$f":"IF($A287<>\"\",IF(ZOZNAM!Q278=\"\",\"\",ZOZNAM!Q278),\"\")","v":""},{"$f":"IF($A287<>\"\",IF(ZOZNAM!R278=\"\",\"\",ZOZNAM!R278),\"\")","v":""},{"$f":"IF($A287<>\"\",IF(ZOZNAM!S278=\"\",\"\",ZOZNAM!S278),\"\")","v":""},{"$f":"IF($A287<>\"\",IF(ZOZNAM!T278=\"\",\"\",ZOZNAM!T278),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C279)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C279)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C279)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C279)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C279)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C279)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L279)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L279)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L279)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L279)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L279)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L279)),FALSE))),ZOZNAM!G279>=$C$9),ZOZNAM!A279,\"\")","v":"UN027"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!B279=\"\",\"\",ZOZNAM!B279),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A288<>\"\",IF(ZOZNAM!C279=\"\",\"\",ZOZNAM!C279),\"\")","v":"Econometrics of Big Data"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!D279=\"\",\"\",ZOZNAM!D279),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!E279=\"\",\"\",ZOZNAM!E279),\"\")","v":5},{"$f":"IF($A288<>\"\",IF(ZOZNAM!F279=\"\",\"\",ZOZNAM!F279),\"\")","v":5},{"$f":"IF($A288<>\"\",IF(ZOZNAM!G279=\"\",\"\",ZOZNAM!G279),\"\")","v":"2019-06-17"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!H279=\"\",\"\",ZOZNAM!H279),\"\")","v":"2019-06-21"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!I279=\"\",\"\",ZOZNAM!I279),\"\")","v":"1700 CHF"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!J279=\"\",\"\",ZOZNAM!J279),\"\")","v":""},{"$f":"IF($A288<>\"\",IF(ZOZNAM!K279=\"\",\"\",ZOZNAM!K279),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,382"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!L279=\"\",\"\",ZOZNAM!L279),\"\")","v":"The goal in this course is two-fold.  First, it wishes to provide an overview and introduction to several modern methods, largely coming from statistics and machine learning, which are useful for exploring high-dimensional data and for building prediction models in high-dimensional settings.  Second, it will present recent proposals that adapt high-dimensional methods to the problem of doing valid inference about model parameters and illustrate applications of these proposals for doing inference about economically interesting parameters."},{"$f":"IF($A288<>\"\",IF(ZOZNAM!M279=\"\",\"\",ZOZNAM!M279),\"\")","v":""},{"$f":"IF($A288<>\"\",IF(ZOZNAM!N279=\"\",\"\",ZOZNAM!N279),\"\")","v":"nie"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!O279=\"\",\"\",ZOZNAM!O279),\"\")","v":"nie"},{"$f":"IF($A288<>\"\",IF(ZOZNAM!P279=\"\",\"\",ZOZNAM!P279),\"\")","v":1.67},{"$f":"IF($A288<>\"\",IF(ZOZNAM!Q279=\"\",\"\",ZOZNAM!Q279),\"\")","v":""},{"$f":"IF($A288<>\"\",IF(ZOZNAM!R279=\"\",\"\",ZOZNAM!R279),\"\")","v":""},{"$f":"IF($A288<>\"\",IF(ZOZNAM!S279=\"\",\"\",ZOZNAM!S279),\"\")","v":""},{"$f":"IF($A288<>\"\",IF(ZOZNAM!T279=\"\",\"\",ZOZNAM!T279),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C280)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C280)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C280)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C280)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C280)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C280)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L280)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L280)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L280)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L280)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L280)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L280)),FALSE))),ZOZNAM!G280>=$C$9),ZOZNAM!A280,\"\")","v":"UN028"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!B280=\"\",\"\",ZOZNAM!B280),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A289<>\"\",IF(ZOZNAM!C280=\"\",\"\",ZOZNAM!C280),\"\")","v":"Time Series Analysis - Advanced Methods"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!D280=\"\",\"\",ZOZNAM!D280),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!E280=\"\",\"\",ZOZNAM!E280),\"\")","v":5},{"$f":"IF($A289<>\"\",IF(ZOZNAM!F280=\"\",\"\",ZOZNAM!F280),\"\")","v":5},{"$f":"IF($A289<>\"\",IF(ZOZNAM!G280=\"\",\"\",ZOZNAM!G280),\"\")","v":"2019-06-17"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!H280=\"\",\"\",ZOZNAM!H280),\"\")","v":"2019-06-21"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!I280=\"\",\"\",ZOZNAM!I280),\"\")","v":"1700 CHF"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!J280=\"\",\"\",ZOZNAM!J280),\"\")","v":""},{"$f":"IF($A289<>\"\",IF(ZOZNAM!K280=\"\",\"\",ZOZNAM!K280),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,370"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!L280=\"\",\"\",ZOZNAM!L280),\"\")","v":"The course is designed to equip students at the PhD-level with the appropriate knowledge of multiple time series methods needed to conduct empirical research in time series economics and macroeconomics. We will cover modern time series methods such as vector autoregressions (VARs), including structural VARs, cointegration analysis and vector error models (VECM) as well as VARMA modelling. Moreover, we deal with relevant bootstrap methods. We discuss model fitting, estimation and diagnostic and explain the use of the models for forecasting and impulse response analysis. The course contains theory sessions, taught in a standard lecture format and tutored computer sessions, during which the participants have the opportunity to apply the econometric methods and concepts. Participants should present solutions to exercise questions in the tutorial sessions as part of the examination requirements."},{"$f":"IF($A289<>\"\",IF(ZOZNAM!M280=\"\",\"\",ZOZNAM!M280),\"\")","v":""},{"$f":"IF($A289<>\"\",IF(ZOZNAM!N280=\"\",\"\",ZOZNAM!N280),\"\")","v":"nie"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!O280=\"\",\"\",ZOZNAM!O280),\"\")","v":"nie"},{"$f":"IF($A289<>\"\",IF(ZOZNAM!P280=\"\",\"\",ZOZNAM!P280),\"\")","v":1.67},{"$f":"IF($A289<>\"\",IF(ZOZNAM!Q280=\"\",\"\",ZOZNAM!Q280),\"\")","v":""},{"$f":"IF($A289<>\"\",IF(ZOZNAM!R280=\"\",\"\",ZOZNAM!R280),\"\")","v":""},{"$f":"IF($A289<>\"\",IF(ZOZNAM!S280=\"\",\"\",ZOZNAM!S280),\"\")","v":""},{"$f":"IF($A289<>\"\",IF(ZOZNAM!T280=\"\",\"\",ZOZNAM!T280),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C281)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C281)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C281)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C281)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C281)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C281)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L281)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L281)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L281)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L281)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L281)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L281)),FALSE))),ZOZNAM!G281>=$C$9),ZOZNAM!A281,\"\")","v":"UN029"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!B281=\"\",\"\",ZOZNAM!B281),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A290<>\"\",IF(ZOZNAM!C281=\"\",\"\",ZOZNAM!C281),\"\")","v":"Structural Equation Models II - Advanced Methods"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!D281=\"\",\"\",ZOZNAM!D281),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!E281=\"\",\"\",ZOZNAM!E281),\"\")","v":5},{"$f":"IF($A290<>\"\",IF(ZOZNAM!F281=\"\",\"\",ZOZNAM!F281),\"\")","v":5},{"$f":"IF($A290<>\"\",IF(ZOZNAM!G281=\"\",\"\",ZOZNAM!G281),\"\")","v":"2019-06-17"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!H281=\"\",\"\",ZOZNAM!H281),\"\")","v":"2019-06-21"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!I281=\"\",\"\",ZOZNAM!I281),\"\")","v":"1700 CHF"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!J281=\"\",\"\",ZOZNAM!J281),\"\")","v":""},{"$f":"IF($A290<>\"\",IF(ZOZNAM!K281=\"\",\"\",ZOZNAM!K281),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,806"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!L281=\"\",\"\",ZOZNAM!L281),\"\")","v":"Course content\n\nMeans and intercepts in structural equation models\nApproaches to missing data in SEM models: imputation and FIML methods\nOrdinal data and non-normal data: alternative estimators, scaled test statistics, bootstrapping\nSEM models for longitudinal data\nGrowth curve models for single-indicator variables\nGrowth curve models for multiple-indicator latent variables\nInteractions in structural equation models\nMixture models\nGeneral approaches to categorical data in structural equation models; latent class models\nMulti-level SEM (introduction)"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!M281=\"\",\"\",ZOZNAM!M281),\"\")","v":""},{"$f":"IF($A290<>\"\",IF(ZOZNAM!N281=\"\",\"\",ZOZNAM!N281),\"\")","v":"nie"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!O281=\"\",\"\",ZOZNAM!O281),\"\")","v":"nie"},{"$f":"IF($A290<>\"\",IF(ZOZNAM!P281=\"\",\"\",ZOZNAM!P281),\"\")","v":1.67},{"$f":"IF($A290<>\"\",IF(ZOZNAM!Q281=\"\",\"\",ZOZNAM!Q281),\"\")","v":""},{"$f":"IF($A290<>\"\",IF(ZOZNAM!R281=\"\",\"\",ZOZNAM!R281),\"\")","v":""},{"$f":"IF($A290<>\"\",IF(ZOZNAM!S281=\"\",\"\",ZOZNAM!S281),\"\")","v":""},{"$f":"IF($A290<>\"\",IF(ZOZNAM!T281=\"\",\"\",ZOZNAM!T281),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C282)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C282)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C282)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C282)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C282)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C282)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L282)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L282)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L282)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L282)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L282)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L282)),FALSE))),ZOZNAM!G282>=$C$9),ZOZNAM!A282,\"\")","v":"UN030"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!B282=\"\",\"\",ZOZNAM!B282),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A291<>\"\",IF(ZOZNAM!C282=\"\",\"\",ZOZNAM!C282),\"\")","v":"Mediation, Moderation, and Conditional Process Analysis II"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!D282=\"\",\"\",ZOZNAM!D282),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!E282=\"\",\"\",ZOZNAM!E282),\"\")","v":5},{"$f":"IF($A291<>\"\",IF(ZOZNAM!F282=\"\",\"\",ZOZNAM!F282),\"\")","v":5},{"$f":"IF($A291<>\"\",IF(ZOZNAM!G282=\"\",\"\",ZOZNAM!G282),\"\")","v":"2019-06-17"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!H282=\"\",\"\",ZOZNAM!H282),\"\")","v":"2019-06-21"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!I282=\"\",\"\",ZOZNAM!I282),\"\")","v":"1700 CHF"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!J282=\"\",\"\",ZOZNAM!J282),\"\")","v":""},{"$f":"IF($A291<>\"\",IF(ZOZNAM!K282=\"\",\"\",ZOZNAM!K282),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,856"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!L282=\"\",\"\",ZOZNAM!L282),\"\")","v":"This course will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using readily-available software packages such as SPSS and SAS."},{"$f":"IF($A291<>\"\",IF(ZOZNAM!M282=\"\",\"\",ZOZNAM!M282),\"\")","v":""},{"$f":"IF($A291<>\"\",IF(ZOZNAM!N282=\"\",\"\",ZOZNAM!N282),\"\")","v":"nie"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!O282=\"\",\"\",ZOZNAM!O282),\"\")","v":"nie"},{"$f":"IF($A291<>\"\",IF(ZOZNAM!P282=\"\",\"\",ZOZNAM!P282),\"\")","v":1.67},{"$f":"IF($A291<>\"\",IF(ZOZNAM!Q282=\"\",\"\",ZOZNAM!Q282),\"\")","v":""},{"$f":"IF($A291<>\"\",IF(ZOZNAM!R282=\"\",\"\",ZOZNAM!R282),\"\")","v":""},{"$f":"IF($A291<>\"\",IF(ZOZNAM!S282=\"\",\"\",ZOZNAM!S282),\"\")","v":""},{"$f":"IF($A291<>\"\",IF(ZOZNAM!T282=\"\",\"\",ZOZNAM!T282),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C283)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C283)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C283)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C283)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C283)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C283)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L283)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L283)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L283)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L283)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L283)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L283)),FALSE))),ZOZNAM!G283>=$C$9),ZOZNAM!A283,\"\")","v":"UN031"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!B283=\"\",\"\",ZOZNAM!B283),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A292<>\"\",IF(ZOZNAM!C283=\"\",\"\",ZOZNAM!C283),\"\")","v":"Behavioral and Experimental Economics"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!D283=\"\",\"\",ZOZNAM!D283),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!E283=\"\",\"\",ZOZNAM!E283),\"\")","v":5},{"$f":"IF($A292<>\"\",IF(ZOZNAM!F283=\"\",\"\",ZOZNAM!F283),\"\")","v":5},{"$f":"IF($A292<>\"\",IF(ZOZNAM!G283=\"\",\"\",ZOZNAM!G283),\"\")","v":"2019-06-17"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!H283=\"\",\"\",ZOZNAM!H283),\"\")","v":"2019-06-21"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!I283=\"\",\"\",ZOZNAM!I283),\"\")","v":"1700 CHF"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!J283=\"\",\"\",ZOZNAM!J283),\"\")","v":""},{"$f":"IF($A292<>\"\",IF(ZOZNAM!K283=\"\",\"\",ZOZNAM!K283),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,859"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!L283=\"\",\"\",ZOZNAM!L283),\"\")","v":"Behavioral economics develops theories of human (economic) behavior that go beyond the standard model of rationality and selfishness. Experimental economics tests these theories and provides the data for new theoretical approaches. In this course, we will learn key approaches of behavioral economics, and the experiments that demonstrate the relevance and limits of these theories. This includes in particular the measurement and modeling of preferences and the modeling of bounded rationality. We study what experiments inspired the theories and how the theories are tested in the lab. The course is complemented with data analysis techniques specifically relevant for theory motivated experimental data."},{"$f":"IF($A292<>\"\",IF(ZOZNAM!M283=\"\",\"\",ZOZNAM!M283),\"\")","v":""},{"$f":"IF($A292<>\"\",IF(ZOZNAM!N283=\"\",\"\",ZOZNAM!N283),\"\")","v":"nie"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!O283=\"\",\"\",ZOZNAM!O283),\"\")","v":"nie"},{"$f":"IF($A292<>\"\",IF(ZOZNAM!P283=\"\",\"\",ZOZNAM!P283),\"\")","v":1.67},{"$f":"IF($A292<>\"\",IF(ZOZNAM!Q283=\"\",\"\",ZOZNAM!Q283),\"\")","v":""},{"$f":"IF($A292<>\"\",IF(ZOZNAM!R283=\"\",\"\",ZOZNAM!R283),\"\")","v":""},{"$f":"IF($A292<>\"\",IF(ZOZNAM!S283=\"\",\"\",ZOZNAM!S283),\"\")","v":""},{"$f":"IF($A292<>\"\",IF(ZOZNAM!T283=\"\",\"\",ZOZNAM!T283),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C284)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C284)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C284)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C284)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C284)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C284)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L284)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L284)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L284)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L284)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L284)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L284)),FALSE))),ZOZNAM!G284>=$C$9),ZOZNAM!A284,\"\")","v":"UN032"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!B284=\"\",\"\",ZOZNAM!B284),\"\")","v":"Universität St.Gallen "},{"$f":"IF($A293<>\"\",IF(ZOZNAM!C284=\"\",\"\",ZOZNAM!C284),\"\")","v":"Text Mining"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!D284=\"\",\"\",ZOZNAM!D284),\"\")","v":"St. Gallen, Švajčiarsko"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!E284=\"\",\"\",ZOZNAM!E284),\"\")","v":5},{"$f":"IF($A293<>\"\",IF(ZOZNAM!F284=\"\",\"\",ZOZNAM!F284),\"\")","v":5},{"$f":"IF($A293<>\"\",IF(ZOZNAM!G284=\"\",\"\",ZOZNAM!G284),\"\")","v":"2019-06-17"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!H284=\"\",\"\",ZOZNAM!H284),\"\")","v":"2019-06-21"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!I284=\"\",\"\",ZOZNAM!I284),\"\")","v":"1700 CHF"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!J284=\"\",\"\",ZOZNAM!J284),\"\")","v":""},{"$f":"IF($A293<>\"\",IF(ZOZNAM!K284=\"\",\"\",ZOZNAM!K284),\"\")","v":"https://www.gserm.ch/stgallen/course/?course_code=10,857"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!L284=\"\",\"\",ZOZNAM!L284),\"\")","v":"Text mining is the art and science of extracting insights from large amounts of natural language. The topics of Text Mining will help students add natural language processing techniques to their research, and data science toolset. As a technical course with some machine learning elements, limited exposure to programming, graduate level statistics and mathematical theory is needed but the vast majority of the course content will be focused on applying popular text mining methods. As a result, the target audience may also include qualitative researchers looking to add quantitative analysis to interviews, media and other language based field research as long as participants have some basic R background."},{"$f":"IF($A293<>\"\",IF(ZOZNAM!M284=\"\",\"\",ZOZNAM!M284),\"\")","v":""},{"$f":"IF($A293<>\"\",IF(ZOZNAM!N284=\"\",\"\",ZOZNAM!N284),\"\")","v":"nie"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!O284=\"\",\"\",ZOZNAM!O284),\"\")","v":"nie"},{"$f":"IF($A293<>\"\",IF(ZOZNAM!P284=\"\",\"\",ZOZNAM!P284),\"\")","v":1.67},{"$f":"IF($A293<>\"\",IF(ZOZNAM!Q284=\"\",\"\",ZOZNAM!Q284),\"\")","v":""},{"$f":"IF($A293<>\"\",IF(ZOZNAM!R284=\"\",\"\",ZOZNAM!R284),\"\")","v":""},{"$f":"IF($A293<>\"\",IF(ZOZNAM!S284=\"\",\"\",ZOZNAM!S284),\"\")","v":""},{"$f":"IF($A293<>\"\",IF(ZOZNAM!T284=\"\",\"\",ZOZNAM!T284),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C285)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C285)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C285)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C285)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C285)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C285)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L285)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L285)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L285)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L285)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L285)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L285)),FALSE))),ZOZNAM!G285>=$C$9),ZOZNAM!A285,\"\")","v":"UB001"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!B285=\"\",\"\",ZOZNAM!B285),\"\")","v":"University of Barcelona"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!C285=\"\",\"\",ZOZNAM!C285),\"\")","v":"THE ECONOMICS OF GROWTH: INNOVATION, RIVALRY, AND INSTITUTIONS"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!D285=\"\",\"\",ZOZNAM!D285),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!E285=\"\",\"\",ZOZNAM!E285),\"\")","v":4},{"$f":"IF($A294<>\"\",IF(ZOZNAM!F285=\"\",\"\",ZOZNAM!F285),\"\")","v":5},{"$f":"IF($A294<>\"\",IF(ZOZNAM!G285=\"\",\"\",ZOZNAM!G285),\"\")","v":"2019-07-01"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!H285=\"\",\"\",ZOZNAM!H285),\"\")","v":"2019-07-05"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!I285=\"\",\"\",ZOZNAM!I285),\"\")","v":"710 EUR"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!J285=\"\",\"\",ZOZNAM!J285),\"\")","v":"2019-06-16"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!K285=\"\",\"\",ZOZNAM!K285),\"\")","v":"http://www.ub.edu/school-economics/summer-school/"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!L285=\"\",\"\",ZOZNAM!L285),\"\")","v":"In this course will look at three types of innovation by entrepreneurs and firms: (1) development of products and market entry; (2) development of higher quality products than existing ones and market entry with “creative destruction;” and (3) “creative accumulation” within firms, which enhances their productivity and product quality. The main focus of the course is on the third type of innovation, which is more in line with theory and evidence from IO. "},{"$f":"IF($A294<>\"\",IF(ZOZNAM!M285=\"\",\"\",ZOZNAM!M285),\"\")","v":""},{"$f":"IF($A294<>\"\",IF(ZOZNAM!N285=\"\",\"\",ZOZNAM!N285),\"\")","v":"nie"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!O285=\"\",\"\",ZOZNAM!O285),\"\")","v":"nie"},{"$f":"IF($A294<>\"\",IF(ZOZNAM!P285=\"\",\"\",ZOZNAM!P285),\"\")","v":""},{"$f":"IF($A294<>\"\",IF(ZOZNAM!Q285=\"\",\"\",ZOZNAM!Q285),\"\")","v":""},{"$f":"IF($A294<>\"\",IF(ZOZNAM!R285=\"\",\"\",ZOZNAM!R285),\"\")","v":""},{"$f":"IF($A294<>\"\",IF(ZOZNAM!S285=\"\",\"\",ZOZNAM!S285),\"\")","v":""},{"$f":"IF($A294<>\"\",IF(ZOZNAM!T285=\"\",\"\",ZOZNAM!T285),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C286)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C286)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C286)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C286)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C286)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C286)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L286)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L286)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L286)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L286)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L286)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L286)),FALSE))),ZOZNAM!G286>=$C$9),ZOZNAM!A286,\"\")","v":"UN271"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!B286=\"\",\"\",ZOZNAM!B286),\"\")","v":"University of Copenhagen"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!C286=\"\",\"\",ZOZNAM!C286),\"\")","v":"Applied machine learning and big data analysis"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!D286=\"\",\"\",ZOZNAM!D286),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!E286=\"\",\"\",ZOZNAM!E286),\"\")","v":5},{"$f":"IF($A295<>\"\",IF(ZOZNAM!F286=\"\",\"\",ZOZNAM!F286),\"\")","v":5},{"$f":"IF($A295<>\"\",IF(ZOZNAM!G286=\"\",\"\",ZOZNAM!G286),\"\")","v":"2019-08-12"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!H286=\"\",\"\",ZOZNAM!H286),\"\")","v":"2019-08-16"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!I286=\"\",\"\",ZOZNAM!I286),\"\")","v":"2 680 EUR"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!J286=\"\",\"\",ZOZNAM!J286),\"\")","v":"2019-05-31"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!K286=\"\",\"\",ZOZNAM!K286),\"\")","v":"https://copenhagensummeruniversity.ku.dk/en/course/applied-machine-learning-and-big-data-analysis/"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!L286=\"\",\"\",ZOZNAM!L286),\"\")","v":"This course will put participants at the forefront of applied machine learning by introducing you to the newest tools and methods in large-scale data analysis based on cutting-edge research and the extensive experience of our teachers.\n\nAfter the course participants will:\nBe able to set up a basic Machine Learning Analysis from beginning to end: from retrieving and cleaning the data, to setting the information level, extracting patterns and finding outliers, to curating the necessary data.\nGet acquainted with a number of advanced tools for data cleaning, statistical analysis of very large datasets, data stream analysis, finding patterns and outliers in Big Data, collecting data from instruments and devices (e.g. internet of things (IoT)) and for using hardware systems design for efficient handling and analysis of Big Data."},{"$f":"IF($A295<>\"\",IF(ZOZNAM!M286=\"\",\"\",ZOZNAM!M286),\"\")","v":""},{"$f":"IF($A295<>\"\",IF(ZOZNAM!N286=\"\",\"\",ZOZNAM!N286),\"\")","v":"nie"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!O286=\"\",\"\",ZOZNAM!O286),\"\")","v":"nie"},{"$f":"IF($A295<>\"\",IF(ZOZNAM!P286=\"\",\"\",ZOZNAM!P286),\"\")","v":""},{"$f":"IF($A295<>\"\",IF(ZOZNAM!Q286=\"\",\"\",ZOZNAM!Q286),\"\")","v":""},{"$f":"IF($A295<>\"\",IF(ZOZNAM!R286=\"\",\"\",ZOZNAM!R286),\"\")","v":""},{"$f":"IF($A295<>\"\",IF(ZOZNAM!S286=\"\",\"\",ZOZNAM!S286),\"\")","v":""},{"$f":"IF($A295<>\"\",IF(ZOZNAM!T286=\"\",\"\",ZOZNAM!T286),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C287)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C287)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C287)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C287)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C287)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C287)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L287)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L287)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L287)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L287)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L287)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L287)),FALSE))),ZOZNAM!G287>=$C$9),ZOZNAM!A287,\"\")","v":"UN273"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!B287=\"\",\"\",ZOZNAM!B287),\"\")","v":"University of Copenhagen"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!C287=\"\",\"\",ZOZNAM!C287),\"\")","v":"Deep Learning"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!D287=\"\",\"\",ZOZNAM!D287),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!E287=\"\",\"\",ZOZNAM!E287),\"\")","v":5},{"$f":"IF($A296<>\"\",IF(ZOZNAM!F287=\"\",\"\",ZOZNAM!F287),\"\")","v":5},{"$f":"IF($A296<>\"\",IF(ZOZNAM!G287=\"\",\"\",ZOZNAM!G287),\"\")","v":"2019-08-12"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!H287=\"\",\"\",ZOZNAM!H287),\"\")","v":"2019-08-16"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!I287=\"\",\"\",ZOZNAM!I287),\"\")","v":"2 680 EUR"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!J287=\"\",\"\",ZOZNAM!J287),\"\")","v":"2019-05-31"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!K287=\"\",\"\",ZOZNAM!K287),\"\")","v":"https://copenhagensummeruniversity.ku.dk/kursus/deep-learning/"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!L287=\"\",\"\",ZOZNAM!L287),\"\")","v":"This course will give students detailed insight into deep learning, introducing you to the basics as well as to the latest tools and methods in this emerging field.\n\nThey will learn:\nBy completing the course, participants will be able to set up and use basic deep learning techniques. They will learn how to use deep convolutional neural networks and recurrent neural networks for image, text, and time series analysis tasks. Also, they will become acquainted with advanced tools and become familiar with using appropriate computational resources to train and apply deep learning models.\n\nThe course will also teach the theoretical foundations of deep neural networks, which will provide the understanding necessary for adapting and successfully applying deep learning into own applications."},{"$f":"IF($A296<>\"\",IF(ZOZNAM!M287=\"\",\"\",ZOZNAM!M287),\"\")","v":""},{"$f":"IF($A296<>\"\",IF(ZOZNAM!N287=\"\",\"\",ZOZNAM!N287),\"\")","v":"nie"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!O287=\"\",\"\",ZOZNAM!O287),\"\")","v":"nie"},{"$f":"IF($A296<>\"\",IF(ZOZNAM!P287=\"\",\"\",ZOZNAM!P287),\"\")","v":""},{"$f":"IF($A296<>\"\",IF(ZOZNAM!Q287=\"\",\"\",ZOZNAM!Q287),\"\")","v":""},{"$f":"IF($A296<>\"\",IF(ZOZNAM!R287=\"\",\"\",ZOZNAM!R287),\"\")","v":""},{"$f":"IF($A296<>\"\",IF(ZOZNAM!S287=\"\",\"\",ZOZNAM!S287),\"\")","v":""},{"$f":"IF($A296<>\"\",IF(ZOZNAM!T287=\"\",\"\",ZOZNAM!T287),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C288)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C288)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C288)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C288)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C288)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C288)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L288)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L288)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L288)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L288)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L288)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L288)),FALSE))),ZOZNAM!G288>=$C$9),ZOZNAM!A288,\"\")","v":"UN269"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!B288=\"\",\"\",ZOZNAM!B288),\"\")","v":"University of Copenhagen"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!C288=\"\",\"\",ZOZNAM!C288),\"\")","v":"Value based health care (VBHC) - the future for the health care sector?"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!D288=\"\",\"\",ZOZNAM!D288),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!E288=\"\",\"\",ZOZNAM!E288),\"\")","v":5},{"$f":"IF($A297<>\"\",IF(ZOZNAM!F288=\"\",\"\",ZOZNAM!F288),\"\")","v":5},{"$f":"IF($A297<>\"\",IF(ZOZNAM!G288=\"\",\"\",ZOZNAM!G288),\"\")","v":"2019-08-19"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!H288=\"\",\"\",ZOZNAM!H288),\"\")","v":"2019-08-23"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!I288=\"\",\"\",ZOZNAM!I288),\"\")","v":"2 680 EUR"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!J288=\"\",\"\",ZOZNAM!J288),\"\")","v":"2019-05-31"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!K288=\"\",\"\",ZOZNAM!K288),\"\")","v":"https://copenhagensummeruniversity.ku.dk/en/course/value-based-health-care-vbhc/"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!L288=\"\",\"\",ZOZNAM!L288),\"\")","v":"This course will provide you with insight into the basic concepts of VBHC, what it is, and why it is so important.\n\nParticipants will:\nget an overview of the stakeholders in VBHC: who the key players are and who the new powerful players are - currently entering the field of health care for the first time.\nlearn from examples of ongoing VBHC projects.\nlearn about some of the enablers for VBHC, i.e. health care policy, real world data, and digitization.\nThe course will also discuss how to set up VBHC projects, and how value is created between the different stakeholders. Finally the course will address how this will impact different players in the health care sector and how this might impact the current business model of the industry."},{"$f":"IF($A297<>\"\",IF(ZOZNAM!M288=\"\",\"\",ZOZNAM!M288),\"\")","v":""},{"$f":"IF($A297<>\"\",IF(ZOZNAM!N288=\"\",\"\",ZOZNAM!N288),\"\")","v":"nie"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!O288=\"\",\"\",ZOZNAM!O288),\"\")","v":"áno"},{"$f":"IF($A297<>\"\",IF(ZOZNAM!P288=\"\",\"\",ZOZNAM!P288),\"\")","v":""},{"$f":"IF($A297<>\"\",IF(ZOZNAM!Q288=\"\",\"\",ZOZNAM!Q288),\"\")","v":""},{"$f":"IF($A297<>\"\",IF(ZOZNAM!R288=\"\",\"\",ZOZNAM!R288),\"\")","v":""},{"$f":"IF($A297<>\"\",IF(ZOZNAM!S288=\"\",\"\",ZOZNAM!S288),\"\")","v":""},{"$f":"IF($A297<>\"\",IF(ZOZNAM!T288=\"\",\"\",ZOZNAM!T288),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C289)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C289)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C289)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C289)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C289)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C289)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L289)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L289)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L289)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L289)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L289)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L289)),FALSE))),ZOZNAM!G289>=$C$9),ZOZNAM!A289,\"\")","v":"UN270"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!B289=\"\",\"\",ZOZNAM!B289),\"\")","v":"University of Copenhagen"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!C289=\"\",\"\",ZOZNAM!C289),\"\")","v":"Applied machine learning and big data analysis"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!D289=\"\",\"\",ZOZNAM!D289),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!E289=\"\",\"\",ZOZNAM!E289),\"\")","v":5},{"$f":"IF($A298<>\"\",IF(ZOZNAM!F289=\"\",\"\",ZOZNAM!F289),\"\")","v":5},{"$f":"IF($A298<>\"\",IF(ZOZNAM!G289=\"\",\"\",ZOZNAM!G289),\"\")","v":"2019-08-19"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!H289=\"\",\"\",ZOZNAM!H289),\"\")","v":"2019-08-23"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!I289=\"\",\"\",ZOZNAM!I289),\"\")","v":"2 680 EUR"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!J289=\"\",\"\",ZOZNAM!J289),\"\")","v":"2019-05-31"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!K289=\"\",\"\",ZOZNAM!K289),\"\")","v":"https://copenhagensummeruniversity.ku.dk/en/course/applied-machine-learning-and-big-data-analysis/"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!L289=\"\",\"\",ZOZNAM!L289),\"\")","v":"Applied machine learning and big data analysis\nMachine Learning is now being applied in essentially all data-based fields, and Big Data is omnipresent from private industry to governmental organizations. It is a new approach to problem solving, and while the potential is often exaggerated, Machine Learning does indeed open up exciting new opportunities, but it also poses some very real challenges. The ability to analyze and combine large amounts of data from different sources obviously has wide applications. However, the lack of quality in the data combined with a high variance means that conventional analysis often fails. To counter this requires proper training in the correct application of Machine Learning algorithms. \n\n\nThis course will put you at the forefront of applied machine learning by introducing you to the newest tools and methods in large-scale data analysis based on cutting-edge research and the extensive experience of our teachers.\n\nKey benefits\nAfter the course you will:\n\nBe able to set up a basic Machine Learning Analysis from beginning to end: from retrieving and cleaning the data, to setting the information level, extracting patterns and finding outliers, to curating the necessary data.\nGet acquainted with a number of advanced tools for data cleaning, statistical analysis of very large datasets, data stream analysis, finding patterns and outliers in Big Data, collecting data from instruments and devices (e.g. internet of things (IoT)) and for using hardware systems design for efficient handling and analysis of Big Data.\nCourse content\nThroughout the course, we will use examples of structured datasets in a commercial context, which will be used to demonstrate the different steps in Big Data Analysis. Participants will also have the chance to ask questions about specific data and challenges.\n\nCore elements\n\nData cleaning and statistical methods: Detecting and correcting (or removing) corrupt or inaccurate records, and robust statistical methods for data with very large variance and cross checks.\nMachine Learning algorithms: Introduction to a variety of methods, how they work behind the scenes, their strengths and weaknesses, and their applications.\nFinding patterns and outliers in Big Data: Which methods can be used to identify sparse patterns in very large datasets, and how can we identify data that does not follow the general pattern of a dataset?\nCollecting data from instruments and devices: How to collect, store, and analyze data from a multitude of sources (e.g. apparatus, IoT, etc.).\nSystems for Big Data Analysis: Hadoop, PyDisco, etc., and hardware systems design for efficient analysis.\nSelected machine learning algorithms for large-scale data: Random forests, (deep) neural networks, support vector machines, and large-scale exact nearest neighbour search.\nSystems for Big Data Analysis: Common systems for BDA; Hadoop, PyDisco, etc., and hardware systems design for efficient BDA.\nTools/methods introduced\n\nSelected machine learning algorithms for large-scale data: Random forests, support vector machines, and large-scale exact nearest neighbour search\nData curation: How to select data for long time curation, systems, techniques and standards for data curation\nWe will primarily be working with Python; however, all techniques that are covered are easily implemented with all standard data-analysis languages."},{"$f":"IF($A298<>\"\",IF(ZOZNAM!M289=\"\",\"\",ZOZNAM!M289),\"\")","v":""},{"$f":"IF($A298<>\"\",IF(ZOZNAM!N289=\"\",\"\",ZOZNAM!N289),\"\")","v":"nie"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!O289=\"\",\"\",ZOZNAM!O289),\"\")","v":"nie"},{"$f":"IF($A298<>\"\",IF(ZOZNAM!P289=\"\",\"\",ZOZNAM!P289),\"\")","v":""},{"$f":"IF($A298<>\"\",IF(ZOZNAM!Q289=\"\",\"\",ZOZNAM!Q289),\"\")","v":""},{"$f":"IF($A298<>\"\",IF(ZOZNAM!R289=\"\",\"\",ZOZNAM!R289),\"\")","v":""},{"$f":"IF($A298<>\"\",IF(ZOZNAM!S289=\"\",\"\",ZOZNAM!S289),\"\")","v":""},{"$f":"IF($A298<>\"\",IF(ZOZNAM!T289=\"\",\"\",ZOZNAM!T289),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C290)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C290)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C290)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C290)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C290)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C290)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L290)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L290)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L290)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L290)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L290)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L290)),FALSE))),ZOZNAM!G290>=$C$9),ZOZNAM!A290,\"\")","v":"UN272"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!B290=\"\",\"\",ZOZNAM!B290),\"\")","v":"University of Copenhagen"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!C290=\"\",\"\",ZOZNAM!C290),\"\")","v":"Data Science With Rstudio"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!D290=\"\",\"\",ZOZNAM!D290),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!E290=\"\",\"\",ZOZNAM!E290),\"\")","v":5},{"$f":"IF($A299<>\"\",IF(ZOZNAM!F290=\"\",\"\",ZOZNAM!F290),\"\")","v":5},{"$f":"IF($A299<>\"\",IF(ZOZNAM!G290=\"\",\"\",ZOZNAM!G290),\"\")","v":"2019-08-19"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!H290=\"\",\"\",ZOZNAM!H290),\"\")","v":"2019-08-23"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!I290=\"\",\"\",ZOZNAM!I290),\"\")","v":"2 680 EUR"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!J290=\"\",\"\",ZOZNAM!J290),\"\")","v":"2019-05-31"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!K290=\"\",\"\",ZOZNAM!K290),\"\")","v":"https://copenhagensummeruniversity.ku.dk/en/course/data-science-with-rstudio/"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!L290=\"\",\"\",ZOZNAM!L290),\"\")","v":"On this course participants will learn to build a complete data analysis pipeline in RStudio. This includes learning R programming techniques for:\n\nData import from multiple sources.\nData manipulation and visualization\nAutomatic and interactive report generation.\nDatabase integration\nLarge-scale computations\nIn addition to the technical programming skills, you will also learn to apply a conceptual framework to data analysis, where all the steps of a data analysis are automatized via a programmatic pipeline.\n\nThe course is based on RStudio and a collection of modern R packages. The focus will be on learning to exploit the full potential of these tools, which can serve as an infrastructure for almost any conceivable data analysis in R."},{"$f":"IF($A299<>\"\",IF(ZOZNAM!M290=\"\",\"\",ZOZNAM!M290),\"\")","v":""},{"$f":"IF($A299<>\"\",IF(ZOZNAM!N290=\"\",\"\",ZOZNAM!N290),\"\")","v":"nie"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!O290=\"\",\"\",ZOZNAM!O290),\"\")","v":"nie"},{"$f":"IF($A299<>\"\",IF(ZOZNAM!P290=\"\",\"\",ZOZNAM!P290),\"\")","v":""},{"$f":"IF($A299<>\"\",IF(ZOZNAM!Q290=\"\",\"\",ZOZNAM!Q290),\"\")","v":""},{"$f":"IF($A299<>\"\",IF(ZOZNAM!R290=\"\",\"\",ZOZNAM!R290),\"\")","v":""},{"$f":"IF($A299<>\"\",IF(ZOZNAM!S290=\"\",\"\",ZOZNAM!S290),\"\")","v":""},{"$f":"IF($A299<>\"\",IF(ZOZNAM!T290=\"\",\"\",ZOZNAM!T290),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C291)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C291)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C291)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C291)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C291)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C291)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L291)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L291)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L291)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L291)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L291)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L291)),FALSE))),ZOZNAM!G291>=$C$9),ZOZNAM!A291,\"\")","v":"UE001"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!B291=\"\",\"\",ZOZNAM!B291),\"\")","v":"University of Geneva"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!C291=\"\",\"\",ZOZNAM!C291),\"\")","v":"Policy evaluation"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!D291=\"\",\"\",ZOZNAM!D291),\"\")","v":"Ženeva, Švajčiarsko"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!E291=\"\",\"\",ZOZNAM!E291),\"\")","v":5},{"$f":"IF($A300<>\"\",IF(ZOZNAM!F291=\"\",\"\",ZOZNAM!F291),\"\")","v":5},{"$f":"IF($A300<>\"\",IF(ZOZNAM!G291=\"\",\"\",ZOZNAM!G291),\"\")","v":"2019-06-24"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!H291=\"\",\"\",ZOZNAM!H291),\"\")","v":"2019-06-28"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!I291=\"\",\"\",ZOZNAM!I291),\"\")","v":"1000 CHF"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!J291=\"\",\"\",ZOZNAM!J291),\"\")","v":"2019-04-15"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!K291=\"\",\"\",ZOZNAM!K291),\"\")","v":"https://www.unige.ch/genevasummerschools/index.php?cID=194"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!L291=\"\",\"\",ZOZNAM!L291),\"\")","v":"Measuring and understanding the effect of policies is now more important than ever in any field, from development to labour, from finance to education and beyond. The Geneva Summer School in “Policy Evaluation” offers students a comprehensive understanding of the most advanced techniques of policy evaluation through a powerful combination of theoretical classes and applied examples."},{"$f":"IF($A300<>\"\",IF(ZOZNAM!M291=\"\",\"\",ZOZNAM!M291),\"\")","v":""},{"$f":"IF($A300<>\"\",IF(ZOZNAM!N291=\"\",\"\",ZOZNAM!N291),\"\")","v":"nie"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!O291=\"\",\"\",ZOZNAM!O291),\"\")","v":"nie"},{"$f":"IF($A300<>\"\",IF(ZOZNAM!P291=\"\",\"\",ZOZNAM!P291),\"\")","v":""},{"$f":"IF($A300<>\"\",IF(ZOZNAM!Q291=\"\",\"\",ZOZNAM!Q291),\"\")","v":""},{"$f":"IF($A300<>\"\",IF(ZOZNAM!R291=\"\",\"\",ZOZNAM!R291),\"\")","v":""},{"$f":"IF($A300<>\"\",IF(ZOZNAM!S291=\"\",\"\",ZOZNAM!S291),\"\")","v":""},{"$f":"IF($A300<>\"\",IF(ZOZNAM!T291=\"\",\"\",ZOZNAM!T291),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C292)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C292)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C292)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C292)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C292)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C292)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L292)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L292)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L292)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L292)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L292)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L292)),FALSE))),ZOZNAM!G292>=$C$9),ZOZNAM!A292,\"\")","v":"UG001"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!B292=\"\",\"\",ZOZNAM!B292),\"\")","v":"University of Groningen"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!C292=\"\",\"\",ZOZNAM!C292),\"\")","v":"Data-Driven Prevention Policy in Public Health"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!D292=\"\",\"\",ZOZNAM!D292),\"\")","v":"Groningen, Holandsko"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!E292=\"\",\"\",ZOZNAM!E292),\"\")","v":9},{"$f":"IF($A301<>\"\",IF(ZOZNAM!F292=\"\",\"\",ZOZNAM!F292),\"\")","v":12},{"$f":"IF($A301<>\"\",IF(ZOZNAM!G292=\"\",\"\",ZOZNAM!G292),\"\")","v":"2019-08-19"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!H292=\"\",\"\",ZOZNAM!H292),\"\")","v":"2019-08-30"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!I292=\"\",\"\",ZOZNAM!I292),\"\")","v":"255 EUR"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!J292=\"\",\"\",ZOZNAM!J292),\"\")","v":"2019-06-01"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!K292=\"\",\"\",ZOZNAM!K292),\"\")","v":"https://www.rug.nl/education/summer-winter-schools/summer_schools_2019/health-systems/"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!L292=\"\",\"\",ZOZNAM!L292),\"\")","v":"In this summer school researchers in public health from all over the world will become familiar with the steps of the Data-Driven Prevention Cycle (D2PC). We start in the field to discuss the case studies of the partners involved and from there we go through all steps of policy evaluation using observational data. Novel techniques in applied econometrics will be used to not only deliver descriptive results, but to strive to empirical models through which health inference may be attained. As such, we can formulate the important policy indicators for reducing inequalities across the different demographic levels in society."},{"$f":"IF($A301<>\"\",IF(ZOZNAM!M292=\"\",\"\",ZOZNAM!M292),\"\")","v":"Housing is available for € 245 for two weeks. More info will follow soon."},{"$f":"IF($A301<>\"\",IF(ZOZNAM!N292=\"\",\"\",ZOZNAM!N292),\"\")","v":"nie"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!O292=\"\",\"\",ZOZNAM!O292),\"\")","v":"nie"},{"$f":"IF($A301<>\"\",IF(ZOZNAM!P292=\"\",\"\",ZOZNAM!P292),\"\")","v":""},{"$f":"IF($A301<>\"\",IF(ZOZNAM!Q292=\"\",\"\",ZOZNAM!Q292),\"\")","v":""},{"$f":"IF($A301<>\"\",IF(ZOZNAM!R292=\"\",\"\",ZOZNAM!R292),\"\")","v":""},{"$f":"IF($A301<>\"\",IF(ZOZNAM!S292=\"\",\"\",ZOZNAM!S292),\"\")","v":""},{"$f":"IF($A301<>\"\",IF(ZOZNAM!T292=\"\",\"\",ZOZNAM!T292),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C293)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C293)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C293)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C293)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C293)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C293)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L293)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L293)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L293)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L293)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L293)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L293)),FALSE))),ZOZNAM!G293>=$C$9),ZOZNAM!A293,\"\")","v":"LX001"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!B293=\"\",\"\",ZOZNAM!B293),\"\")","v":"University of Luxembourg"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!C293=\"\",\"\",ZOZNAM!C293),\"\")","v":"Summer Workshop on Inequality and Poverty Measurement"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!D293=\"\",\"\",ZOZNAM!D293),\"\")","v":"Luxembrug, Luxembursko"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!E293=\"\",\"\",ZOZNAM!E293),\"\")","v":5},{"$f":"IF($A302<>\"\",IF(ZOZNAM!F293=\"\",\"\",ZOZNAM!F293),\"\")","v":5},{"$f":"IF($A302<>\"\",IF(ZOZNAM!G293=\"\",\"\",ZOZNAM!G293),\"\")","v":"2019-07-08"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!H293=\"\",\"\",ZOZNAM!H293),\"\")","v":"2019-07-12"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!I293=\"\",\"\",ZOZNAM!I293),\"\")","v":"350 EUR"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!J293=\"\",\"\",ZOZNAM!J293),\"\")","v":"2019-04-15"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!K293=\"\",\"\",ZOZNAM!K293),\"\")","v":"https://www.lisdatacenter.org/news-and-events/events/workshop/2019-summer-workshop/"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!L293=\"\",\"\",ZOZNAM!L293),\"\")","v":"Attendees will be trained to use both databases independently and will have the opportunity to:\n\nAcquire advanced knowledge about methods used in inequality research\nGain skills related to the study of comparative inequality\nLearn in detail about the LIS and LWS data and develop ties with LIS’ large international network"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!M293=\"\",\"\",ZOZNAM!M293),\"\")","v":""},{"$f":"IF($A302<>\"\",IF(ZOZNAM!N293=\"\",\"\",ZOZNAM!N293),\"\")","v":"nie"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!O293=\"\",\"\",ZOZNAM!O293),\"\")","v":"nie"},{"$f":"IF($A302<>\"\",IF(ZOZNAM!P293=\"\",\"\",ZOZNAM!P293),\"\")","v":""},{"$f":"IF($A302<>\"\",IF(ZOZNAM!Q293=\"\",\"\",ZOZNAM!Q293),\"\")","v":""},{"$f":"IF($A302<>\"\",IF(ZOZNAM!R293=\"\",\"\",ZOZNAM!R293),\"\")","v":""},{"$f":"IF($A302<>\"\",IF(ZOZNAM!S293=\"\",\"\",ZOZNAM!S293),\"\")","v":""},{"$f":"IF($A302<>\"\",IF(ZOZNAM!T293=\"\",\"\",ZOZNAM!T293),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C294)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C294)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C294)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C294)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C294)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C294)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L294)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L294)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L294)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L294)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L294)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L294)),FALSE))),ZOZNAM!G294>=$C$9),ZOZNAM!A294,\"\")","v":"UM001"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!B294=\"\",\"\",ZOZNAM!B294),\"\")","v":"University of Milan"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!C294=\"\",\"\",ZOZNAM!C294),\"\")","v":"Computational and Statistical Methods for Stochastic Process"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!D294=\"\",\"\",ZOZNAM!D294),\"\")","v":"Brixen-Bressanone, Taliansko"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!E294=\"\",\"\",ZOZNAM!E294),\"\")","v":4},{"$f":"IF($A303<>\"\",IF(ZOZNAM!F294=\"\",\"\",ZOZNAM!F294),\"\")","v":4},{"$f":"IF($A303<>\"\",IF(ZOZNAM!G294=\"\",\"\",ZOZNAM!G294),\"\")","v":"2019-06-25"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!H294=\"\",\"\",ZOZNAM!H294),\"\")","v":"2019-06-28"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!I294=\"\",\"\",ZOZNAM!I294),\"\")","v":"2440 EUR"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!J294=\"\",\"\",ZOZNAM!J294),\"\")","v":"2019-05-20"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!K294=\"\",\"\",ZOZNAM!K294),\"\")","v":"https://yuimaproject.com/yss2019/"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!L294=\"\",\"\",ZOZNAM!L294),\"\")","v":"The course covers topics of R programming, time series data handling, simulation and numerical analysis for several types of statistical models including: point processes, Hawkes processes,stochastic differential equations driven by Brownian motion with or without jumps, fractional Brownian motion and Lévy processes."},{"$f":"IF($A303<>\"\",IF(ZOZNAM!M294=\"\",\"\",ZOZNAM!M294),\"\")","v":""},{"$f":"IF($A303<>\"\",IF(ZOZNAM!N294=\"\",\"\",ZOZNAM!N294),\"\")","v":"nie"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!O294=\"\",\"\",ZOZNAM!O294),\"\")","v":"nie"},{"$f":"IF($A303<>\"\",IF(ZOZNAM!P294=\"\",\"\",ZOZNAM!P294),\"\")","v":""},{"$f":"IF($A303<>\"\",IF(ZOZNAM!Q294=\"\",\"\",ZOZNAM!Q294),\"\")","v":""},{"$f":"IF($A303<>\"\",IF(ZOZNAM!R294=\"\",\"\",ZOZNAM!R294),\"\")","v":""},{"$f":"IF($A303<>\"\",IF(ZOZNAM!S294=\"\",\"\",ZOZNAM!S294),\"\")","v":""},{"$f":"IF($A303<>\"\",IF(ZOZNAM!T294=\"\",\"\",ZOZNAM!T294),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C298)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C298)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C298)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C298)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C298)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C298)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L298)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L298)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L298)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L298)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L298)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L298)),FALSE))),ZOZNAM!G298>=$C$9),ZOZNAM!A298,\"\")","v":"UY002"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!B298=\"\",\"\",ZOZNAM!B298),\"\")","v":"University of Surrey"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!C298=\"\",\"\",ZOZNAM!C298),\"\")","v":"Advanced Topics in DSGE Modelling"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!D298=\"\",\"\",ZOZNAM!D298),\"\")","v":"Surrey, Veľká Británia"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!E298=\"\",\"\",ZOZNAM!E298),\"\")","v":5},{"$f":"IF($A307<>\"\",IF(ZOZNAM!F298=\"\",\"\",ZOZNAM!F298),\"\")","v":6},{"$f":"IF($A307<>\"\",IF(ZOZNAM!G298=\"\",\"\",ZOZNAM!G298),\"\")","v":"2019-09-09"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!H298=\"\",\"\",ZOZNAM!H298),\"\")","v":"2019-09-14"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!I298=\"\",\"\",ZOZNAM!I298),\"\")","v":"1650 GBP"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!J298=\"\",\"\",ZOZNAM!J298),\"\")","v":"2019-08-11"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!K298=\"\",\"\",ZOZNAM!K298),\"\")","v":"https://www.surrey.ac.uk/events/20190909-summer-school-and-conference-dynamic-stochastic-general-equilibrium-dsge-modelling"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!L298=\"\",\"\",ZOZNAM!L298),\"\")","v":"The Advanced Topics in DSGE Modelling course covers various advanced topics including applied dynamic programming, non-linear solution methods for DSGE models, DSGE modelling with heterogeneous agents, optimal policy applications and DSGE models with occasionally binding constraints. "},{"$f":"IF($A307<>\"\",IF(ZOZNAM!M298=\"\",\"\",ZOZNAM!M298),\"\")","v":""},{"$f":"IF($A307<>\"\",IF(ZOZNAM!N298=\"\",\"\",ZOZNAM!N298),\"\")","v":"nie"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!O298=\"\",\"\",ZOZNAM!O298),\"\")","v":"nie"},{"$f":"IF($A307<>\"\",IF(ZOZNAM!P298=\"\",\"\",ZOZNAM!P298),\"\")","v":""},{"$f":"IF($A307<>\"\",IF(ZOZNAM!Q298=\"\",\"\",ZOZNAM!Q298),\"\")","v":""},{"$f":"IF($A307<>\"\",IF(ZOZNAM!R298=\"\",\"\",ZOZNAM!R298),\"\")","v":""},{"$f":"IF($A307<>\"\",IF(ZOZNAM!S298=\"\",\"\",ZOZNAM!S298),\"\")","v":""},{"$f":"IF($A307<>\"\",IF(ZOZNAM!T298=\"\",\"\",ZOZNAM!T298),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C299)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C299)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C299)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C299)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C299)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C299)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L299)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L299)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L299)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L299)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L299)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L299)),FALSE))),ZOZNAM!G299>=$C$9),ZOZNAM!A299,\"\")","v":"UN274"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!B299=\"\",\"\",ZOZNAM!B299),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!C299=\"\",\"\",ZOZNAM!C299),\"\")","v":"Applying Regression"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!D299=\"\",\"\",ZOZNAM!D299),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!E299=\"\",\"\",ZOZNAM!E299),\"\")","v":10},{"$f":"IF($A308<>\"\",IF(ZOZNAM!F299=\"\",\"\",ZOZNAM!F299),\"\")","v":12},{"$f":"IF($A308<>\"\",IF(ZOZNAM!G299=\"\",\"\",ZOZNAM!G299),\"\")","v":"2019-07-08"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!H299=\"\",\"\",ZOZNAM!H299),\"\")","v":"2019-07-19"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!I299=\"\",\"\",ZOZNAM!I299),\"\")","v":"1 500 GBP"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!J299=\"\",\"\",ZOZNAM!J299),\"\")","v":"2019-05-01"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!K299=\"\",\"\",ZOZNAM!K299),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1c/"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!L299=\"\",\"\",ZOZNAM!L299),\"\")","v":"The course will cover the theory and practice of regression analysis in its various forms. \n\nAlthough the focus of the course is applying regression, it will start by looking at the meaning of models in statistics. Then, students will consider the mean, correlation and regression as models, and regression to the mean. Course looks at describing models, and at statistical significance and confidence intervals (although we expect you to have prior knowledge of these areas, we will refresh them). Course includes development of more complex models (e.g. hierarchical regression, categorical independent variables), and consider the implications of the assumptions made in regression analysis (including the effect of their violation). Course deals with extending regression in different ways: logistic regression, path analysis, interactions and Poisson regression. Throughout the module we will cover examples in Stata, and occasionally use other programs, e.g. GPower for power analysis."},{"$f":"IF($A308<>\"\",IF(ZOZNAM!M299=\"\",\"\",ZOZNAM!M299),\"\")","v":""},{"$f":"IF($A308<>\"\",IF(ZOZNAM!N299=\"\",\"\",ZOZNAM!N299),\"\")","v":"nie"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!O299=\"\",\"\",ZOZNAM!O299),\"\")","v":"áno"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!P299=\"\",\"\",ZOZNAM!P299),\"\")","v":2},{"$f":"IF($A308<>\"\",IF(ZOZNAM!Q299=\"\",\"\",ZOZNAM!Q299),\"\")","v":1},{"$f":"IF($A308<>\"\",IF(ZOZNAM!R299=\"\",\"\",ZOZNAM!R299),\"\")","v":1},{"$f":"IF($A308<>\"\",IF(ZOZNAM!S299=\"\",\"\",ZOZNAM!S299),\"\")","v":"Začiatočníkom"},{"$f":"IF($A308<>\"\",IF(ZOZNAM!T299=\"\",\"\",ZOZNAM!T299),\"\")","v":"Všeoobecnejší kurz pre každého, kto si nie je istý v regresiách či už z teoretického rámca alebo z pohľadu praktickej aplikácie. University of Essex ponúka možnosť zmeny kurzu, pokiaľ po prvej hodine zistíte nevyhovujúcu úroveň kurzu. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C300)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C300)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C300)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C300)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C300)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C300)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L300)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L300)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L300)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L300)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L300)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L300)),FALSE))),ZOZNAM!G300>=$C$9),ZOZNAM!A300,\"\")","v":"UN275"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!B300=\"\",\"\",ZOZNAM!B300),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!C300=\"\",\"\",ZOZNAM!C300),\"\")","v":"Introduction to Social Network Analysis"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!D300=\"\",\"\",ZOZNAM!D300),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!E300=\"\",\"\",ZOZNAM!E300),\"\")","v":10},{"$f":"IF($A309<>\"\",IF(ZOZNAM!F300=\"\",\"\",ZOZNAM!F300),\"\")","v":12},{"$f":"IF($A309<>\"\",IF(ZOZNAM!G300=\"\",\"\",ZOZNAM!G300),\"\")","v":"2019-07-08"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!H300=\"\",\"\",ZOZNAM!H300),\"\")","v":"2019-07-19"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!I300=\"\",\"\",ZOZNAM!I300),\"\")","v":"1 500 GBP"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!J300=\"\",\"\",ZOZNAM!J300),\"\")","v":"2019-05-01"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!K300=\"\",\"\",ZOZNAM!K300),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1d/"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!L300=\"\",\"\",ZOZNAM!L300),\"\")","v":"This course will provide a practical, but comprehensive introduction to the analysis of social networks. \nThe course focuses on the description and visualisation of social network data using UCINET. It will concentrate on uncovering structural properties of the network (e.g. density, homophily, and clustering), as well as on how to identify important persons in a network (e.g. degree centrality, structural holes, …). Course will also pay attention to the detection of subgroups and deal with basic hypothesis testing for social network analysis. Throughout the course some classic theories that focus on network processes (e.g. related to homophily, centrality measures, structural holes, Granovetter’s strength of weak ties and small worlds) will be discussed."},{"$f":"IF($A309<>\"\",IF(ZOZNAM!M300=\"\",\"\",ZOZNAM!M300),\"\")","v":""},{"$f":"IF($A309<>\"\",IF(ZOZNAM!N300=\"\",\"\",ZOZNAM!N300),\"\")","v":"nie"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!O300=\"\",\"\",ZOZNAM!O300),\"\")","v":"áno"},{"$f":"IF($A309<>\"\",IF(ZOZNAM!P300=\"\",\"\",ZOZNAM!P300),\"\")","v":2},{"$f":"IF($A309<>\"\",IF(ZOZNAM!Q300=\"\",\"\",ZOZNAM!Q300),\"\")","v":""},{"$f":"IF($A309<>\"\",IF(ZOZNAM!R300=\"\",\"\",ZOZNAM!R300),\"\")","v":""},{"$f":"IF($A309<>\"\",IF(ZOZNAM!S300=\"\",\"\",ZOZNAM!S300),\"\")","v":""},{"$f":"IF($A309<>\"\",IF(ZOZNAM!T300=\"\",\"\",ZOZNAM!T300),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C301)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C301)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C301)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C301)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C301)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C301)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L301)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L301)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L301)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L301)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L301)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L301)),FALSE))),ZOZNAM!G301>=$C$9),ZOZNAM!A301,\"\")","v":"UN276"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!B301=\"\",\"\",ZOZNAM!B301),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!C301=\"\",\"\",ZOZNAM!C301),\"\")","v":"Introduction to Multilevel Models"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!D301=\"\",\"\",ZOZNAM!D301),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!E301=\"\",\"\",ZOZNAM!E301),\"\")","v":10},{"$f":"IF($A310<>\"\",IF(ZOZNAM!F301=\"\",\"\",ZOZNAM!F301),\"\")","v":12},{"$f":"IF($A310<>\"\",IF(ZOZNAM!G301=\"\",\"\",ZOZNAM!G301),\"\")","v":"2019-07-08"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!H301=\"\",\"\",ZOZNAM!H301),\"\")","v":"2019-07-19"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!I301=\"\",\"\",ZOZNAM!I301),\"\")","v":"1 500 GBP"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!J301=\"\",\"\",ZOZNAM!J301),\"\")","v":"2019-05-01"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!K301=\"\",\"\",ZOZNAM!K301),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1e/"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!L301=\"\",\"\",ZOZNAM!L301),\"\")","v":"This course provides an applied introduction to multilevel modelling for social science datasets. It will introduce the statistical features of multilevel models, deal with approaches to handling data which has clustered or hierarchical elements, and provide training in specifying multilevel models for linear and categorical outcome variables in a variety of survey data scenarios. This course concentrates upon random effects models, but also features many points of comparison with other modelling devices that can be used for clustered or nested data. The course also emphasises the practical application of multilevel models, and seeks to convey both the attractions and limitations of a multilevel modelling approach."},{"$f":"IF($A310<>\"\",IF(ZOZNAM!M301=\"\",\"\",ZOZNAM!M301),\"\")","v":""},{"$f":"IF($A310<>\"\",IF(ZOZNAM!N301=\"\",\"\",ZOZNAM!N301),\"\")","v":"nie"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!O301=\"\",\"\",ZOZNAM!O301),\"\")","v":"áno"},{"$f":"IF($A310<>\"\",IF(ZOZNAM!P301=\"\",\"\",ZOZNAM!P301),\"\")","v":2},{"$f":"IF($A310<>\"\",IF(ZOZNAM!Q301=\"\",\"\",ZOZNAM!Q301),\"\")","v":""},{"$f":"IF($A310<>\"\",IF(ZOZNAM!R301=\"\",\"\",ZOZNAM!R301),\"\")","v":""},{"$f":"IF($A310<>\"\",IF(ZOZNAM!S301=\"\",\"\",ZOZNAM!S301),\"\")","v":""},{"$f":"IF($A310<>\"\",IF(ZOZNAM!T301=\"\",\"\",ZOZNAM!T301),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C302)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C302)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C302)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C302)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C302)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C302)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L302)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L302)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L302)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L302)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L302)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L302)),FALSE))),ZOZNAM!G302>=$C$9),ZOZNAM!A302,\"\")","v":"UN277"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!B302=\"\",\"\",ZOZNAM!B302),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!C302=\"\",\"\",ZOZNAM!C302),\"\")","v":"Introduction to Survey Data Analysis"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!D302=\"\",\"\",ZOZNAM!D302),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!E302=\"\",\"\",ZOZNAM!E302),\"\")","v":10},{"$f":"IF($A311<>\"\",IF(ZOZNAM!F302=\"\",\"\",ZOZNAM!F302),\"\")","v":12},{"$f":"IF($A311<>\"\",IF(ZOZNAM!G302=\"\",\"\",ZOZNAM!G302),\"\")","v":"2019-07-08"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!H302=\"\",\"\",ZOZNAM!H302),\"\")","v":"2019-07-19"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!I302=\"\",\"\",ZOZNAM!I302),\"\")","v":"1 500 GBP"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!J302=\"\",\"\",ZOZNAM!J302),\"\")","v":"2019-05-01"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!K302=\"\",\"\",ZOZNAM!K302),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1f/"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!L302=\"\",\"\",ZOZNAM!L302),\"\")","v":"This course provides an introduction to a wide range of statistical techniques that are used with survey data – including survey experiments.  It begins with core concepts – means, deviations, distributions, confidence intervals, and so on – and then move on to the core statistical methods, covering crosstabulation, t-tests, analysis of variance, correlation, and various forms of regression.  These methods will be demonstrated using the computer package SPSS and a variety of example datasets.  "},{"$f":"IF($A311<>\"\",IF(ZOZNAM!M302=\"\",\"\",ZOZNAM!M302),\"\")","v":""},{"$f":"IF($A311<>\"\",IF(ZOZNAM!N302=\"\",\"\",ZOZNAM!N302),\"\")","v":"nie"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!O302=\"\",\"\",ZOZNAM!O302),\"\")","v":"áno"},{"$f":"IF($A311<>\"\",IF(ZOZNAM!P302=\"\",\"\",ZOZNAM!P302),\"\")","v":2},{"$f":"IF($A311<>\"\",IF(ZOZNAM!Q302=\"\",\"\",ZOZNAM!Q302),\"\")","v":""},{"$f":"IF($A311<>\"\",IF(ZOZNAM!R302=\"\",\"\",ZOZNAM!R302),\"\")","v":""},{"$f":"IF($A311<>\"\",IF(ZOZNAM!S302=\"\",\"\",ZOZNAM!S302),\"\")","v":""},{"$f":"IF($A311<>\"\",IF(ZOZNAM!T302=\"\",\"\",ZOZNAM!T302),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C303)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C303)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C303)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C303)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C303)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C303)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L303)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L303)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L303)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L303)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L303)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L303)),FALSE))),ZOZNAM!G303>=$C$9),ZOZNAM!A303,\"\")","v":"UN278"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!B303=\"\",\"\",ZOZNAM!B303),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!C303=\"\",\"\",ZOZNAM!C303),\"\")","v":"Longitudinal Data Analysis"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!D303=\"\",\"\",ZOZNAM!D303),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!E303=\"\",\"\",ZOZNAM!E303),\"\")","v":10},{"$f":"IF($A312<>\"\",IF(ZOZNAM!F303=\"\",\"\",ZOZNAM!F303),\"\")","v":12},{"$f":"IF($A312<>\"\",IF(ZOZNAM!G303=\"\",\"\",ZOZNAM!G303),\"\")","v":"2019-07-08"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!H303=\"\",\"\",ZOZNAM!H303),\"\")","v":"2019-07-19"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!I303=\"\",\"\",ZOZNAM!I303),\"\")","v":"1 500 GBP"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!J303=\"\",\"\",ZOZNAM!J303),\"\")","v":"2019-05-01"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!K303=\"\",\"\",ZOZNAM!K303),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1g/"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!L303=\"\",\"\",ZOZNAM!L303),\"\")","v":"This is an introduction to longitudinal data analysis on an applied level using Stata. The focus of the course is on data management and analysing micro panel data.\n\nThe module discuss the advantages (and limitations) of panel data, and will show how to handle and describe a panel dataset. Participants will cover linear regression techniques: fixed and random effects models as well as hybrid models, and simple dynamic regression models as well as growth curve modelling, they will look at non-linear models, such as the random effects probit and fixed effects logit, which are used to deal with discrete variables. One session will additionally focus on age, period, cohort (APC) analysis, a technique to identify over time societal dynamics. It will be focused mainly on conventional methods."},{"$f":"IF($A312<>\"\",IF(ZOZNAM!M303=\"\",\"\",ZOZNAM!M303),\"\")","v":""},{"$f":"IF($A312<>\"\",IF(ZOZNAM!N303=\"\",\"\",ZOZNAM!N303),\"\")","v":"nie"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!O303=\"\",\"\",ZOZNAM!O303),\"\")","v":"áno"},{"$f":"IF($A312<>\"\",IF(ZOZNAM!P303=\"\",\"\",ZOZNAM!P303),\"\")","v":2},{"$f":"IF($A312<>\"\",IF(ZOZNAM!Q303=\"\",\"\",ZOZNAM!Q303),\"\")","v":""},{"$f":"IF($A312<>\"\",IF(ZOZNAM!R303=\"\",\"\",ZOZNAM!R303),\"\")","v":""},{"$f":"IF($A312<>\"\",IF(ZOZNAM!S303=\"\",\"\",ZOZNAM!S303),\"\")","v":""},{"$f":"IF($A312<>\"\",IF(ZOZNAM!T303=\"\",\"\",ZOZNAM!T303),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C304)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C304)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C304)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C304)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C304)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C304)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L304)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L304)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L304)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L304)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L304)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L304)),FALSE))),ZOZNAM!G304>=$C$9),ZOZNAM!A304,\"\")","v":"UN279"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!B304=\"\",\"\",ZOZNAM!B304),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!C304=\"\",\"\",ZOZNAM!C304),\"\")","v":"Qualitative Data Analysis: Methodologies for Analysing Text and Talk"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!D304=\"\",\"\",ZOZNAM!D304),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!E304=\"\",\"\",ZOZNAM!E304),\"\")","v":10},{"$f":"IF($A313<>\"\",IF(ZOZNAM!F304=\"\",\"\",ZOZNAM!F304),\"\")","v":12},{"$f":"IF($A313<>\"\",IF(ZOZNAM!G304=\"\",\"\",ZOZNAM!G304),\"\")","v":"2019-07-08"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!H304=\"\",\"\",ZOZNAM!H304),\"\")","v":"2019-07-19"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!I304=\"\",\"\",ZOZNAM!I304),\"\")","v":"1 500 GBP"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!J304=\"\",\"\",ZOZNAM!J304),\"\")","v":"2019-05-01"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!K304=\"\",\"\",ZOZNAM!K304),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1h/"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!L304=\"\",\"\",ZOZNAM!L304),\"\")","v":"This is a course centred mainly on the analysis of textual data in an interpretive spirit. The main emphasis is on exploring various approaches to qualitative data analysis and interpretation, from thematic analysis and the logic of formalized “coding”, to interpretative approaches such as discourse and narrative analysis. Participants will review the nature, strengths and limits of various approaches and get acquainted with their practicalities through a series of practical exercises. They will also explore the implications of various types of analysis on the data generation stage, for qualitative interviewing in particular, and reflect upon issues such as appropriate topic guides, interviewing techniques and transcription practices. \nParticular attention will also be given to the writing-up stage of qualitative analysis and its difficulties. Other topics to be addressed are the epistemological foundations of qualitative research, validity and reliability issues, as well as issues of interpretative authority and research ethics."},{"$f":"IF($A313<>\"\",IF(ZOZNAM!M304=\"\",\"\",ZOZNAM!M304),\"\")","v":""},{"$f":"IF($A313<>\"\",IF(ZOZNAM!N304=\"\",\"\",ZOZNAM!N304),\"\")","v":"nie"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!O304=\"\",\"\",ZOZNAM!O304),\"\")","v":"áno"},{"$f":"IF($A313<>\"\",IF(ZOZNAM!P304=\"\",\"\",ZOZNAM!P304),\"\")","v":2},{"$f":"IF($A313<>\"\",IF(ZOZNAM!Q304=\"\",\"\",ZOZNAM!Q304),\"\")","v":""},{"$f":"IF($A313<>\"\",IF(ZOZNAM!R304=\"\",\"\",ZOZNAM!R304),\"\")","v":""},{"$f":"IF($A313<>\"\",IF(ZOZNAM!S304=\"\",\"\",ZOZNAM!S304),\"\")","v":""},{"$f":"IF($A313<>\"\",IF(ZOZNAM!T304=\"\",\"\",ZOZNAM!T304),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C305)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C305)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C305)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C305)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C305)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C305)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L305)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L305)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L305)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L305)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L305)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L305)),FALSE))),ZOZNAM!G305>=$C$9),ZOZNAM!A305,\"\")","v":"UN280"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!B305=\"\",\"\",ZOZNAM!B305),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!C305=\"\",\"\",ZOZNAM!C305),\"\")","v":"Introduction to Qualitative Interviewing"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!D305=\"\",\"\",ZOZNAM!D305),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!E305=\"\",\"\",ZOZNAM!E305),\"\")","v":10},{"$f":"IF($A314<>\"\",IF(ZOZNAM!F305=\"\",\"\",ZOZNAM!F305),\"\")","v":12},{"$f":"IF($A314<>\"\",IF(ZOZNAM!G305=\"\",\"\",ZOZNAM!G305),\"\")","v":"2019-07-08"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!H305=\"\",\"\",ZOZNAM!H305),\"\")","v":"2019-07-19"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!I305=\"\",\"\",ZOZNAM!I305),\"\")","v":"1 500 GBP"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!J305=\"\",\"\",ZOZNAM!J305),\"\")","v":"2019-05-01"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!K305=\"\",\"\",ZOZNAM!K305),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1i/"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!L305=\"\",\"\",ZOZNAM!L305),\"\")","v":"This course aims to introduce participants to the most widely used qualitative research technique in the social sciences – the interview. The course is intended to systematically guide participants through the research process specific to a qualitative interview project, from research design through to conducting interviews, analysing them and writing up the findings. \nThis is a practical course and participants will gain first-hand experience of conducting and analysing qualitative interviews of different types, as well as critically reflecting upon their own interviewing practice (assumptions and techniques). \nUsing the qualitative data analysis software MAXQDA, the course introduces techniques for analysing interview data."},{"$f":"IF($A314<>\"\",IF(ZOZNAM!M305=\"\",\"\",ZOZNAM!M305),\"\")","v":""},{"$f":"IF($A314<>\"\",IF(ZOZNAM!N305=\"\",\"\",ZOZNAM!N305),\"\")","v":"nie"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!O305=\"\",\"\",ZOZNAM!O305),\"\")","v":"áno"},{"$f":"IF($A314<>\"\",IF(ZOZNAM!P305=\"\",\"\",ZOZNAM!P305),\"\")","v":2},{"$f":"IF($A314<>\"\",IF(ZOZNAM!Q305=\"\",\"\",ZOZNAM!Q305),\"\")","v":""},{"$f":"IF($A314<>\"\",IF(ZOZNAM!R305=\"\",\"\",ZOZNAM!R305),\"\")","v":""},{"$f":"IF($A314<>\"\",IF(ZOZNAM!S305=\"\",\"\",ZOZNAM!S305),\"\")","v":""},{"$f":"IF($A314<>\"\",IF(ZOZNAM!T305=\"\",\"\",ZOZNAM!T305),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C306)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C306)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C306)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C306)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C306)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C306)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L306)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L306)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L306)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L306)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L306)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L306)),FALSE))),ZOZNAM!G306>=$C$9),ZOZNAM!A306,\"\")","v":"UN281"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!B306=\"\",\"\",ZOZNAM!B306),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!C306=\"\",\"\",ZOZNAM!C306),\"\")","v":"Beyond OLS: Categorical, Choice and Count Models"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!D306=\"\",\"\",ZOZNAM!D306),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!E306=\"\",\"\",ZOZNAM!E306),\"\")","v":10},{"$f":"IF($A315<>\"\",IF(ZOZNAM!F306=\"\",\"\",ZOZNAM!F306),\"\")","v":12},{"$f":"IF($A315<>\"\",IF(ZOZNAM!G306=\"\",\"\",ZOZNAM!G306),\"\")","v":"2019-07-08"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!H306=\"\",\"\",ZOZNAM!H306),\"\")","v":"2019-07-19"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!I306=\"\",\"\",ZOZNAM!I306),\"\")","v":"1 500 GBP"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!J306=\"\",\"\",ZOZNAM!J306),\"\")","v":"2019-05-01"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!K306=\"\",\"\",ZOZNAM!K306),\"\")","v":"http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1j/"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!L306=\"\",\"\",ZOZNAM!L306),\"\")","v":"This course offers an application-oriented introduction to maximum likelihood (ML) based models for categorical, discrete choice, and count data. It begins with the basics of ML estimation and a discussion of the theoretical foundations of categorical, discrete choice, and count-data models. Course focuses on exploring logistic and probit regression models and learn how to apply them in the statistical software package Stata, it covers interpretation and hypothesis for testing these kinds of models. Against this background, participants will consider more complicated estimation strategies, including ordered logit and probit regression models, multinomial logits, count models, or discrete duration models. "},{"$f":"IF($A315<>\"\",IF(ZOZNAM!M306=\"\",\"\",ZOZNAM!M306),\"\")","v":""},{"$f":"IF($A315<>\"\",IF(ZOZNAM!N306=\"\",\"\",ZOZNAM!N306),\"\")","v":"nie"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!O306=\"\",\"\",ZOZNAM!O306),\"\")","v":"áno"},{"$f":"IF($A315<>\"\",IF(ZOZNAM!P306=\"\",\"\",ZOZNAM!P306),\"\")","v":2},{"$f":"IF($A315<>\"\",IF(ZOZNAM!Q306=\"\",\"\",ZOZNAM!Q306),\"\")","v":""},{"$f":"IF($A315<>\"\",IF(ZOZNAM!R306=\"\",\"\",ZOZNAM!R306),\"\")","v":""},{"$f":"IF($A315<>\"\",IF(ZOZNAM!S306=\"\",\"\",ZOZNAM!S306),\"\")","v":""},{"$f":"IF($A315<>\"\",IF(ZOZNAM!T306=\"\",\"\",ZOZNAM!T306),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C307)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C307)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C307)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C307)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C307)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C307)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L307)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L307)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L307)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L307)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L307)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L307)),FALSE))),ZOZNAM!G307>=$C$9),ZOZNAM!A307,\"\")","v":"UN282"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!B307=\"\",\"\",ZOZNAM!B307),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!C307=\"\",\"\",ZOZNAM!C307),\"\")","v":"Machine Learning for Social Scientists"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!D307=\"\",\"\",ZOZNAM!D307),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!E307=\"\",\"\",ZOZNAM!E307),\"\")","v":10},{"$f":"IF($A316<>\"\",IF(ZOZNAM!F307=\"\",\"\",ZOZNAM!F307),\"\")","v":12},{"$f":"IF($A316<>\"\",IF(ZOZNAM!G307=\"\",\"\",ZOZNAM!G307),\"\")","v":"2019-07-08"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!H307=\"\",\"\",ZOZNAM!H307),\"\")","v":"2019-07-19"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!I307=\"\",\"\",ZOZNAM!I307),\"\")","v":"1 500 GBP"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!J307=\"\",\"\",ZOZNAM!J307),\"\")","v":"2019-05-01"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!K307=\"\",\"\",ZOZNAM!K307),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1k/"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!L307=\"\",\"\",ZOZNAM!L307),\"\")","v":"The goal of this course is to introduce participants to the core principles of machine learning and to expose them to a variety of useful algorithms. There is a heavy emphasis on practical examples, which shall be programmed using R.\n\nThe course focuses on supervised learning whereby defined outcomes are used to define predictive performance metrics, which we seek to optimise. Both classification (is X and instance of S?) and regression (what is X’s score) problems are covered. After outlining the general approach of machine learning, with a special emphasis on cross-validation, students will learn about algorithms that are error-based (e.g., regression and support vector machines), information-based (e.g., classification and regression trees), similarity-based (e.g., nearest neighbour algorithms), rule-based (e.g., one-rule), probability-based (e.g., naive Bayes classifiers), and ensemble-based (e.g., random forests)."},{"$f":"IF($A316<>\"\",IF(ZOZNAM!M307=\"\",\"\",ZOZNAM!M307),\"\")","v":""},{"$f":"IF($A316<>\"\",IF(ZOZNAM!N307=\"\",\"\",ZOZNAM!N307),\"\")","v":"nie"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!O307=\"\",\"\",ZOZNAM!O307),\"\")","v":"áno"},{"$f":"IF($A316<>\"\",IF(ZOZNAM!P307=\"\",\"\",ZOZNAM!P307),\"\")","v":2},{"$f":"IF($A316<>\"\",IF(ZOZNAM!Q307=\"\",\"\",ZOZNAM!Q307),\"\")","v":""},{"$f":"IF($A316<>\"\",IF(ZOZNAM!R307=\"\",\"\",ZOZNAM!R307),\"\")","v":""},{"$f":"IF($A316<>\"\",IF(ZOZNAM!S307=\"\",\"\",ZOZNAM!S307),\"\")","v":""},{"$f":"IF($A316<>\"\",IF(ZOZNAM!T307=\"\",\"\",ZOZNAM!T307),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C308)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C308)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C308)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C308)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C308)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C308)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L308)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L308)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L308)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L308)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L308)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L308)),FALSE))),ZOZNAM!G308>=$C$9),ZOZNAM!A308,\"\")","v":"UN283"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!B308=\"\",\"\",ZOZNAM!B308),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!C308=\"\",\"\",ZOZNAM!C308),\"\")","v":"Introduction to Statistics for Social Science Research with SPSS"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!D308=\"\",\"\",ZOZNAM!D308),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!E308=\"\",\"\",ZOZNAM!E308),\"\")","v":10},{"$f":"IF($A317<>\"\",IF(ZOZNAM!F308=\"\",\"\",ZOZNAM!F308),\"\")","v":12},{"$f":"IF($A317<>\"\",IF(ZOZNAM!G308=\"\",\"\",ZOZNAM!G308),\"\")","v":"2019-07-08"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!H308=\"\",\"\",ZOZNAM!H308),\"\")","v":"2019-07-19"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!I308=\"\",\"\",ZOZNAM!I308),\"\")","v":"1 500 GBP"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!J308=\"\",\"\",ZOZNAM!J308),\"\")","v":"2019-05-01"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!K308=\"\",\"\",ZOZNAM!K308),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1l/"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!L308=\"\",\"\",ZOZNAM!L308),\"\")","v":"This course will provide a gentle introduction to quantitative analysis for social science research and to the statistical software SPSS. The course will cover the following topics:\n(a)applications of quantitative analysis for social science research\n(b)the use of statistical software in quantitative analysis\n(c)data and measurement\n(d)descriptive statistics\n(e)assessing relationships between social phenomena\n(f)univariate and multivariate regression analysis\n(g)introduction to logistic regression"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!M308=\"\",\"\",ZOZNAM!M308),\"\")","v":""},{"$f":"IF($A317<>\"\",IF(ZOZNAM!N308=\"\",\"\",ZOZNAM!N308),\"\")","v":"nie"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!O308=\"\",\"\",ZOZNAM!O308),\"\")","v":"áno"},{"$f":"IF($A317<>\"\",IF(ZOZNAM!P308=\"\",\"\",ZOZNAM!P308),\"\")","v":2},{"$f":"IF($A317<>\"\",IF(ZOZNAM!Q308=\"\",\"\",ZOZNAM!Q308),\"\")","v":""},{"$f":"IF($A317<>\"\",IF(ZOZNAM!R308=\"\",\"\",ZOZNAM!R308),\"\")","v":""},{"$f":"IF($A317<>\"\",IF(ZOZNAM!S308=\"\",\"\",ZOZNAM!S308),\"\")","v":""},{"$f":"IF($A317<>\"\",IF(ZOZNAM!T308=\"\",\"\",ZOZNAM!T308),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C309)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C309)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C309)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C309)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C309)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C309)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L309)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L309)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L309)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L309)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L309)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L309)),FALSE))),ZOZNAM!G309>=$C$9),ZOZNAM!A309,\"\")","v":"UN284"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!B309=\"\",\"\",ZOZNAM!B309),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!C309=\"\",\"\",ZOZNAM!C309),\"\")","v":"Data Analysis and Programming in Stata"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!D309=\"\",\"\",ZOZNAM!D309),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!E309=\"\",\"\",ZOZNAM!E309),\"\")","v":10},{"$f":"IF($A318<>\"\",IF(ZOZNAM!F309=\"\",\"\",ZOZNAM!F309),\"\")","v":12},{"$f":"IF($A318<>\"\",IF(ZOZNAM!G309=\"\",\"\",ZOZNAM!G309),\"\")","v":"2019-07-08"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!H309=\"\",\"\",ZOZNAM!H309),\"\")","v":"2019-07-19"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!I309=\"\",\"\",ZOZNAM!I309),\"\")","v":"1 500 GBP"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!J309=\"\",\"\",ZOZNAM!J309),\"\")","v":"2019-05-01"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!K309=\"\",\"\",ZOZNAM!K309),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1m/"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!L309=\"\",\"\",ZOZNAM!L309),\"\")","v":"The purpose of this course is to provide tools to manage and work with large databases using Stata programming tools. The course is designed for new and intermediate Stata users who want to acquire advanced skills in data management and programming in Stata. The course focuses on skills relevant to social science data analysis."},{"$f":"IF($A318<>\"\",IF(ZOZNAM!M309=\"\",\"\",ZOZNAM!M309),\"\")","v":""},{"$f":"IF($A318<>\"\",IF(ZOZNAM!N309=\"\",\"\",ZOZNAM!N309),\"\")","v":"nie"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!O309=\"\",\"\",ZOZNAM!O309),\"\")","v":"áno"},{"$f":"IF($A318<>\"\",IF(ZOZNAM!P309=\"\",\"\",ZOZNAM!P309),\"\")","v":2},{"$f":"IF($A318<>\"\",IF(ZOZNAM!Q309=\"\",\"\",ZOZNAM!Q309),\"\")","v":""},{"$f":"IF($A318<>\"\",IF(ZOZNAM!R309=\"\",\"\",ZOZNAM!R309),\"\")","v":""},{"$f":"IF($A318<>\"\",IF(ZOZNAM!S309=\"\",\"\",ZOZNAM!S309),\"\")","v":""},{"$f":"IF($A318<>\"\",IF(ZOZNAM!T309=\"\",\"\",ZOZNAM!T309),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C310)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C310)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C310)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C310)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C310)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C310)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L310)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L310)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L310)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L310)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L310)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L310)),FALSE))),ZOZNAM!G310>=$C$9),ZOZNAM!A310,\"\")","v":"UN285"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!B310=\"\",\"\",ZOZNAM!B310),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!C310=\"\",\"\",ZOZNAM!C310),\"\")","v":"Quantitative Data Analysis with R"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!D310=\"\",\"\",ZOZNAM!D310),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!E310=\"\",\"\",ZOZNAM!E310),\"\")","v":10},{"$f":"IF($A319<>\"\",IF(ZOZNAM!F310=\"\",\"\",ZOZNAM!F310),\"\")","v":12},{"$f":"IF($A319<>\"\",IF(ZOZNAM!G310=\"\",\"\",ZOZNAM!G310),\"\")","v":"2019-07-22"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!H310=\"\",\"\",ZOZNAM!H310),\"\")","v":"2019-08-02"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!I310=\"\",\"\",ZOZNAM!I310),\"\")","v":"1 500 GBP"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!J310=\"\",\"\",ZOZNAM!J310),\"\")","v":"2019-05-01"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!K310=\"\",\"\",ZOZNAM!K310),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2b/"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!L310=\"\",\"\",ZOZNAM!L310),\"\")","v":"The module introduces to the practical analysis of quantitative social science data using R. \n\nThis module covers at least the following topics: (1) basic concepts of data analysis with R; (2) data management – working with variables and data frames; (3) summarising data using tables and graphics; (4) linear regression – model construction and interpretation; (5) testing statistical hypotheses in R (5); generalised linear models for categorical responses, counts, and survival times; (6) advanced statistical graphics; (7) multivariate data analysis – principal components, factor analysis, and structural equations. \nIn addition to these, a few more topics are optionally covered, such as random variables, random numbers and Monte Carlo simulations; linear algebra with R and regression in matrix form; multilevel models; or programming techniques."},{"$f":"IF($A319<>\"\",IF(ZOZNAM!M310=\"\",\"\",ZOZNAM!M310),\"\")","v":""},{"$f":"IF($A319<>\"\",IF(ZOZNAM!N310=\"\",\"\",ZOZNAM!N310),\"\")","v":"nie"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!O310=\"\",\"\",ZOZNAM!O310),\"\")","v":"áno"},{"$f":"IF($A319<>\"\",IF(ZOZNAM!P310=\"\",\"\",ZOZNAM!P310),\"\")","v":2},{"$f":"IF($A319<>\"\",IF(ZOZNAM!Q310=\"\",\"\",ZOZNAM!Q310),\"\")","v":""},{"$f":"IF($A319<>\"\",IF(ZOZNAM!R310=\"\",\"\",ZOZNAM!R310),\"\")","v":""},{"$f":"IF($A319<>\"\",IF(ZOZNAM!S310=\"\",\"\",ZOZNAM!S310),\"\")","v":""},{"$f":"IF($A319<>\"\",IF(ZOZNAM!T310=\"\",\"\",ZOZNAM!T310),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C311)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C311)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C311)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C311)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C311)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C311)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L311)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L311)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L311)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L311)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L311)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L311)),FALSE))),ZOZNAM!G311>=$C$9),ZOZNAM!A311,\"\")","v":"UN286"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!B311=\"\",\"\",ZOZNAM!B311),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!C311=\"\",\"\",ZOZNAM!C311),\"\")","v":"Multilevel Models: Practical Applications"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!D311=\"\",\"\",ZOZNAM!D311),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!E311=\"\",\"\",ZOZNAM!E311),\"\")","v":10},{"$f":"IF($A320<>\"\",IF(ZOZNAM!F311=\"\",\"\",ZOZNAM!F311),\"\")","v":12},{"$f":"IF($A320<>\"\",IF(ZOZNAM!G311=\"\",\"\",ZOZNAM!G311),\"\")","v":"2019-07-22"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!H311=\"\",\"\",ZOZNAM!H311),\"\")","v":"2019-08-02"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!I311=\"\",\"\",ZOZNAM!I311),\"\")","v":"1 500 GBP"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!J311=\"\",\"\",ZOZNAM!J311),\"\")","v":"2019-05-01"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!K311=\"\",\"\",ZOZNAM!K311),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2e-multilevel-models-practical-applications/"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!L311=\"\",\"\",ZOZNAM!L311),\"\")","v":"On this course participants will focus on building on standard single-level models, development of the two-level model with continuous predictors and response. Examples include house-prices varying over districts, and pupil progress varying by school. These models are extended to cover complex variation, both within and between levels, three-level models, and models with categorical predictors and response (the multilevel logit model). Course deals with a consideration of estimators including maximum likelihood (operationalized through iterative generalized least squares. "},{"$f":"IF($A320<>\"\",IF(ZOZNAM!M311=\"\",\"\",ZOZNAM!M311),\"\")","v":""},{"$f":"IF($A320<>\"\",IF(ZOZNAM!N311=\"\",\"\",ZOZNAM!N311),\"\")","v":"nie"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!O311=\"\",\"\",ZOZNAM!O311),\"\")","v":"áno"},{"$f":"IF($A320<>\"\",IF(ZOZNAM!P311=\"\",\"\",ZOZNAM!P311),\"\")","v":2},{"$f":"IF($A320<>\"\",IF(ZOZNAM!Q311=\"\",\"\",ZOZNAM!Q311),\"\")","v":""},{"$f":"IF($A320<>\"\",IF(ZOZNAM!R311=\"\",\"\",ZOZNAM!R311),\"\")","v":""},{"$f":"IF($A320<>\"\",IF(ZOZNAM!S311=\"\",\"\",ZOZNAM!S311),\"\")","v":""},{"$f":"IF($A320<>\"\",IF(ZOZNAM!T311=\"\",\"\",ZOZNAM!T311),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C312)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C312)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C312)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C312)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C312)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C312)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L312)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L312)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L312)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L312)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L312)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L312)),FALSE))),ZOZNAM!G312>=$C$9),ZOZNAM!A312,\"\")","v":"UN287"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!B312=\"\",\"\",ZOZNAM!B312),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!C312=\"\",\"\",ZOZNAM!C312),\"\")","v":"Advanced Survey Data Analysis and Survey Experiments"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!D312=\"\",\"\",ZOZNAM!D312),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!E312=\"\",\"\",ZOZNAM!E312),\"\")","v":10},{"$f":"IF($A321<>\"\",IF(ZOZNAM!F312=\"\",\"\",ZOZNAM!F312),\"\")","v":12},{"$f":"IF($A321<>\"\",IF(ZOZNAM!G312=\"\",\"\",ZOZNAM!G312),\"\")","v":"2019-07-22"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!H312=\"\",\"\",ZOZNAM!H312),\"\")","v":"2019-08-02"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!I312=\"\",\"\",ZOZNAM!I312),\"\")","v":"1 500 GBP"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!J312=\"\",\"\",ZOZNAM!J312),\"\")","v":"2019-05-01"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!K312=\"\",\"\",ZOZNAM!K312),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2c-advanced-survey-data-analysis-and-survey-experiments/"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!L312=\"\",\"\",ZOZNAM!L312),\"\")","v":"This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analyzing and enriching survey data, including approaches to conducting surveys on sensitive topics, measurement of reported behavior as well as the construction and analysis of panel data and social network studies. The course will also focus on designing and analyzing survey experiments."},{"$f":"IF($A321<>\"\",IF(ZOZNAM!M312=\"\",\"\",ZOZNAM!M312),\"\")","v":""},{"$f":"IF($A321<>\"\",IF(ZOZNAM!N312=\"\",\"\",ZOZNAM!N312),\"\")","v":"nie"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!O312=\"\",\"\",ZOZNAM!O312),\"\")","v":"áno"},{"$f":"IF($A321<>\"\",IF(ZOZNAM!P312=\"\",\"\",ZOZNAM!P312),\"\")","v":2},{"$f":"IF($A321<>\"\",IF(ZOZNAM!Q312=\"\",\"\",ZOZNAM!Q312),\"\")","v":""},{"$f":"IF($A321<>\"\",IF(ZOZNAM!R312=\"\",\"\",ZOZNAM!R312),\"\")","v":""},{"$f":"IF($A321<>\"\",IF(ZOZNAM!S312=\"\",\"\",ZOZNAM!S312),\"\")","v":""},{"$f":"IF($A321<>\"\",IF(ZOZNAM!T312=\"\",\"\",ZOZNAM!T312),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C313)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C313)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C313)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C313)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C313)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C313)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L313)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L313)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L313)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L313)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L313)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L313)),FALSE))),ZOZNAM!G313>=$C$9),ZOZNAM!A313,\"\")","v":"UN288"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!B313=\"\",\"\",ZOZNAM!B313),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!C313=\"\",\"\",ZOZNAM!C313),\"\")","v":"Case Study Methods"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!D313=\"\",\"\",ZOZNAM!D313),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!E313=\"\",\"\",ZOZNAM!E313),\"\")","v":10},{"$f":"IF($A322<>\"\",IF(ZOZNAM!F313=\"\",\"\",ZOZNAM!F313),\"\")","v":12},{"$f":"IF($A322<>\"\",IF(ZOZNAM!G313=\"\",\"\",ZOZNAM!G313),\"\")","v":"2019-07-22"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!H313=\"\",\"\",ZOZNAM!H313),\"\")","v":"2019-08-02"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!I313=\"\",\"\",ZOZNAM!I313),\"\")","v":"1 500 GBP"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!J313=\"\",\"\",ZOZNAM!J313),\"\")","v":"2019-05-01"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!K313=\"\",\"\",ZOZNAM!K313),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2d-case-study-methods/"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!L313=\"\",\"\",ZOZNAM!L313),\"\")","v":"This course stresses the role of case studies in social science methodology and provides an overview of the principles and practices of case-study analysis.\nCases studies continue to constitute a large proportion of work generated in the social sciences. Similarly, case study research is increasingly used as a tool for policy analysis. "},{"$f":"IF($A322<>\"\",IF(ZOZNAM!M313=\"\",\"\",ZOZNAM!M313),\"\")","v":""},{"$f":"IF($A322<>\"\",IF(ZOZNAM!N313=\"\",\"\",ZOZNAM!N313),\"\")","v":"nie"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!O313=\"\",\"\",ZOZNAM!O313),\"\")","v":"áno"},{"$f":"IF($A322<>\"\",IF(ZOZNAM!P313=\"\",\"\",ZOZNAM!P313),\"\")","v":2},{"$f":"IF($A322<>\"\",IF(ZOZNAM!Q313=\"\",\"\",ZOZNAM!Q313),\"\")","v":""},{"$f":"IF($A322<>\"\",IF(ZOZNAM!R313=\"\",\"\",ZOZNAM!R313),\"\")","v":""},{"$f":"IF($A322<>\"\",IF(ZOZNAM!S313=\"\",\"\",ZOZNAM!S313),\"\")","v":""},{"$f":"IF($A322<>\"\",IF(ZOZNAM!T313=\"\",\"\",ZOZNAM!T313),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C314)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C314)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C314)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C314)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C314)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C314)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L314)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L314)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L314)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L314)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L314)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L314)),FALSE))),ZOZNAM!G314>=$C$9),ZOZNAM!A314,\"\")","v":"UN289"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!B314=\"\",\"\",ZOZNAM!B314),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!C314=\"\",\"\",ZOZNAM!C314),\"\")","v":"Introduction to Applied Bayesian Analysis for the Social Sciences"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!D314=\"\",\"\",ZOZNAM!D314),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!E314=\"\",\"\",ZOZNAM!E314),\"\")","v":10},{"$f":"IF($A323<>\"\",IF(ZOZNAM!F314=\"\",\"\",ZOZNAM!F314),\"\")","v":12},{"$f":"IF($A323<>\"\",IF(ZOZNAM!G314=\"\",\"\",ZOZNAM!G314),\"\")","v":"2019-07-22"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!H314=\"\",\"\",ZOZNAM!H314),\"\")","v":"2019-08-02"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!I314=\"\",\"\",ZOZNAM!I314),\"\")","v":"1 500 GBP"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!J314=\"\",\"\",ZOZNAM!J314),\"\")","v":"2019-05-01"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!K314=\"\",\"\",ZOZNAM!K314),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3k-dynamic-models-for-social-scientists/"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!L314=\"\",\"\",ZOZNAM!L314),\"\")","v":"This course introduces the basic theoretical and applied principles of Bayesian statistical analysis. The course includes a discussion of the strengths and weaknesses of the Bayesian approach and the philosophical differences between the Bayesian and frequentist approaches. Most of the course content will focus on estimating and interpreting a variety of models (linear, dichotomous and polytomous choice, poisson, missing data, latent variable, and multilevel) from an applied Bayesian perspective."},{"$f":"IF($A323<>\"\",IF(ZOZNAM!M314=\"\",\"\",ZOZNAM!M314),\"\")","v":""},{"$f":"IF($A323<>\"\",IF(ZOZNAM!N314=\"\",\"\",ZOZNAM!N314),\"\")","v":"nie"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!O314=\"\",\"\",ZOZNAM!O314),\"\")","v":"áno"},{"$f":"IF($A323<>\"\",IF(ZOZNAM!P314=\"\",\"\",ZOZNAM!P314),\"\")","v":2},{"$f":"IF($A323<>\"\",IF(ZOZNAM!Q314=\"\",\"\",ZOZNAM!Q314),\"\")","v":""},{"$f":"IF($A323<>\"\",IF(ZOZNAM!R314=\"\",\"\",ZOZNAM!R314),\"\")","v":""},{"$f":"IF($A323<>\"\",IF(ZOZNAM!S314=\"\",\"\",ZOZNAM!S314),\"\")","v":""},{"$f":"IF($A323<>\"\",IF(ZOZNAM!T314=\"\",\"\",ZOZNAM!T314),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C315)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C315)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C315)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C315)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C315)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C315)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L315)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L315)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L315)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L315)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L315)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L315)),FALSE))),ZOZNAM!G315>=$C$9),ZOZNAM!A315,\"\")","v":"UN290"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!B315=\"\",\"\",ZOZNAM!B315),\"\")","v":"Universtiy of Essex"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!C315=\"\",\"\",ZOZNAM!C315),\"\")","v":"Panel Data Analysis for Comparative Research"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!D315=\"\",\"\",ZOZNAM!D315),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!E315=\"\",\"\",ZOZNAM!E315),\"\")","v":10},{"$f":"IF($A324<>\"\",IF(ZOZNAM!F315=\"\",\"\",ZOZNAM!F315),\"\")","v":12},{"$f":"IF($A324<>\"\",IF(ZOZNAM!G315=\"\",\"\",ZOZNAM!G315),\"\")","v":"2019-07-22"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!H315=\"\",\"\",ZOZNAM!H315),\"\")","v":"2019-08-02"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!I315=\"\",\"\",ZOZNAM!I315),\"\")","v":"1 500 GBP"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!J315=\"\",\"\",ZOZNAM!J315),\"\")","v":"2019-05-01"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!K315=\"\",\"\",ZOZNAM!K315),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2g-panel-data-analysis-for-comparative-research/"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!L315=\"\",\"\",ZOZNAM!L315),\"\")","v":"This course provides a survey of regression models for time series (TS) and time series cross-section (TSCS) data, with an emphasis on modeling dynamics and panel structures. Course gives a review of the theory and estimation of linear regression and maximum likelihood, it covers the following topics: modeling time series dynamics using ARIMA models, lagged dependent variables, and distributed lags; cointegration and error correction models; modeling cross-sectional variation using fixed and random effects; coping with panel heteroskedasticity, and presentation and interpretation of TS and TSCS models. "},{"$f":"IF($A324<>\"\",IF(ZOZNAM!M315=\"\",\"\",ZOZNAM!M315),\"\")","v":""},{"$f":"IF($A324<>\"\",IF(ZOZNAM!N315=\"\",\"\",ZOZNAM!N315),\"\")","v":"nie"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!O315=\"\",\"\",ZOZNAM!O315),\"\")","v":"áno"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!P315=\"\",\"\",ZOZNAM!P315),\"\")","v":2},{"$f":"IF($A324<>\"\",IF(ZOZNAM!Q315=\"\",\"\",ZOZNAM!Q315),\"\")","v":2},{"$f":"IF($A324<>\"\",IF(ZOZNAM!R315=\"\",\"\",ZOZNAM!R315),\"\")","v":1},{"$f":"IF($A324<>\"\",IF(ZOZNAM!S315=\"\",\"\",ZOZNAM!S315),\"\")","v":"Pokročilým"},{"$f":"IF($A324<>\"\",IF(ZOZNAM!T315=\"\",\"\",ZOZNAM!T315),\"\")","v":"Kirz je ideálny pre účastníkov, ktorí pracujú v R, robili už s panelovými dátami a chcú sa v tejto oblasti zlepšiť a zistiť, aké testy robiť a akým chybám sa vyhnúť. Takýto študent dostane najvyššiu pridanú hodnotu. Na úspešné absolvovanie kurzu sú potrebné pokročilé znalosti štatistiky a ekonometrie, nie len základy."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C316)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C316)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C316)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C316)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C316)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C316)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L316)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L316)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L316)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L316)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L316)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L316)),FALSE))),ZOZNAM!G316>=$C$9),ZOZNAM!A316,\"\")","v":"UN291"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!B316=\"\",\"\",ZOZNAM!B316),\"\")","v":"University of Essex"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!C316=\"\",\"\",ZOZNAM!C316),\"\")","v":"Microsimulation modelling for the social sciences"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!D316=\"\",\"\",ZOZNAM!D316),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!E316=\"\",\"\",ZOZNAM!E316),\"\")","v":10},{"$f":"IF($A325<>\"\",IF(ZOZNAM!F316=\"\",\"\",ZOZNAM!F316),\"\")","v":12},{"$f":"IF($A325<>\"\",IF(ZOZNAM!G316=\"\",\"\",ZOZNAM!G316),\"\")","v":"2019-07-22"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!H316=\"\",\"\",ZOZNAM!H316),\"\")","v":"2019-08-02"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!I316=\"\",\"\",ZOZNAM!I316),\"\")","v":"1 500 GBP"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!J316=\"\",\"\",ZOZNAM!J316),\"\")","v":"2019-05-01"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!K316=\"\",\"\",ZOZNAM!K316),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2j/"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!L316=\"\",\"\",ZOZNAM!L316),\"\")","v":"The course will cover the following topics:\n– General introduction to micro-simulation modelling in the social sciences\n– Static non-behavioural tax-benefit microsimulation: General structure and an introduction to the EUROMOD simulation platform\n– Behavioural static labour supply models using EUROMOD: Specification options, estimation issues, applications to the microsimulation of reforms.\n– Dynamic microsimulation models: General structure, estimation issues and an introduction to NETLOGO.\n– Agent-based models: General structure and their relationship to dynamic microsimulation, estimation issues."},{"$f":"IF($A325<>\"\",IF(ZOZNAM!M316=\"\",\"\",ZOZNAM!M316),\"\")","v":""},{"$f":"IF($A325<>\"\",IF(ZOZNAM!N316=\"\",\"\",ZOZNAM!N316),\"\")","v":"nie"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!O316=\"\",\"\",ZOZNAM!O316),\"\")","v":"áno"},{"$f":"IF($A325<>\"\",IF(ZOZNAM!P316=\"\",\"\",ZOZNAM!P316),\"\")","v":2},{"$f":"IF($A325<>\"\",IF(ZOZNAM!Q316=\"\",\"\",ZOZNAM!Q316),\"\")","v":""},{"$f":"IF($A325<>\"\",IF(ZOZNAM!R316=\"\",\"\",ZOZNAM!R316),\"\")","v":""},{"$f":"IF($A325<>\"\",IF(ZOZNAM!S316=\"\",\"\",ZOZNAM!S316),\"\")","v":""},{"$f":"IF($A325<>\"\",IF(ZOZNAM!T316=\"\",\"\",ZOZNAM!T316),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C318)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C318)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C318)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C318)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C318)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C318)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L318)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L318)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L318)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L318)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L318)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L318)),FALSE))),ZOZNAM!G318>=$C$9),ZOZNAM!A318,\"\")","v":"UN293"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!B318=\"\",\"\",ZOZNAM!B318),\"\")","v":"University of Essex"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!C318=\"\",\"\",ZOZNAM!C318),\"\")","v":"Applied Research Methods with Hidden, Marginal and Excluded Populations"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!D318=\"\",\"\",ZOZNAM!D318),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!E318=\"\",\"\",ZOZNAM!E318),\"\")","v":5},{"$f":"IF($A327<>\"\",IF(ZOZNAM!F318=\"\",\"\",ZOZNAM!F318),\"\")","v":5},{"$f":"IF($A327<>\"\",IF(ZOZNAM!G318=\"\",\"\",ZOZNAM!G318),\"\")","v":"2019-07-29"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!H318=\"\",\"\",ZOZNAM!H318),\"\")","v":"2019-08-02"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!I318=\"\",\"\",ZOZNAM!I318),\"\")","v":"750 GBP"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!J318=\"\",\"\",ZOZNAM!J318),\"\")","v":"2019-05-01"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!K318=\"\",\"\",ZOZNAM!K318),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2s-applied-research-methods/"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!L318=\"\",\"\",ZOZNAM!L318),\"\")","v":"Focussing on Hard-to-Reach populations, the course provides an introduction to research methods in conducting research, both qualitative and quantitative, on marginal, hidden and excluded population such as children, migrants, refugees and displaced people, sex workers, homeless, victims of conflicts or trafficking, HIV/AIDS, and drug users. Aimed to promote action-oriented research, the course introduces the main theories and research approaches on exclusion and marginalization using different frameworks and techniques. It addresses the dangers associate with the lack of systematic use of solid research methodology, ethics, data collection and analysis in the formulation and evaluation of policies and programs."},{"$f":"IF($A327<>\"\",IF(ZOZNAM!M318=\"\",\"\",ZOZNAM!M318),\"\")","v":""},{"$f":"IF($A327<>\"\",IF(ZOZNAM!N318=\"\",\"\",ZOZNAM!N318),\"\")","v":"nie"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!O318=\"\",\"\",ZOZNAM!O318),\"\")","v":"áno"},{"$f":"IF($A327<>\"\",IF(ZOZNAM!P318=\"\",\"\",ZOZNAM!P318),\"\")","v":2},{"$f":"IF($A327<>\"\",IF(ZOZNAM!Q318=\"\",\"\",ZOZNAM!Q318),\"\")","v":""},{"$f":"IF($A327<>\"\",IF(ZOZNAM!R318=\"\",\"\",ZOZNAM!R318),\"\")","v":""},{"$f":"IF($A327<>\"\",IF(ZOZNAM!S318=\"\",\"\",ZOZNAM!S318),\"\")","v":""},{"$f":"IF($A327<>\"\",IF(ZOZNAM!T318=\"\",\"\",ZOZNAM!T318),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C319)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C319)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C319)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C319)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C319)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C319)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L319)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L319)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L319)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L319)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L319)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L319)),FALSE))),ZOZNAM!G319>=$C$9),ZOZNAM!A319,\"\")","v":"UN294"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!B319=\"\",\"\",ZOZNAM!B319),\"\")","v":"University of Essex"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!C319=\"\",\"\",ZOZNAM!C319),\"\")","v":"Quantitative Text Analysis"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!D319=\"\",\"\",ZOZNAM!D319),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!E319=\"\",\"\",ZOZNAM!E319),\"\")","v":10},{"$f":"IF($A328<>\"\",IF(ZOZNAM!F319=\"\",\"\",ZOZNAM!F319),\"\")","v":12},{"$f":"IF($A328<>\"\",IF(ZOZNAM!G319=\"\",\"\",ZOZNAM!G319),\"\")","v":"2019-08-05"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!H319=\"\",\"\",ZOZNAM!H319),\"\")","v":"2019-08-16"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!I319=\"\",\"\",ZOZNAM!I319),\"\")","v":"1 500 GBP"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!J319=\"\",\"\",ZOZNAM!J319),\"\")","v":"2019-05-01"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!K319=\"\",\"\",ZOZNAM!K319),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2e-multilevel-models-practical-applications/"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!L319=\"\",\"\",ZOZNAM!L319),\"\")","v":"This course is an applied introduction to multilevel modelling that aims to give you deep understanding of the standard model. \n\nOn the course, participants will learn to recognize a multilevel structure, specify a multilevel model with complex variation at a number of levels, and fit and interpret a range of multilevel models. \nA distinctive feature of the course is the focus on variance functions estimated simultaneously as several levels."},{"$f":"IF($A328<>\"\",IF(ZOZNAM!M319=\"\",\"\",ZOZNAM!M319),\"\")","v":""},{"$f":"IF($A328<>\"\",IF(ZOZNAM!N319=\"\",\"\",ZOZNAM!N319),\"\")","v":"nie"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!O319=\"\",\"\",ZOZNAM!O319),\"\")","v":"áno"},{"$f":"IF($A328<>\"\",IF(ZOZNAM!P319=\"\",\"\",ZOZNAM!P319),\"\")","v":2},{"$f":"IF($A328<>\"\",IF(ZOZNAM!Q319=\"\",\"\",ZOZNAM!Q319),\"\")","v":""},{"$f":"IF($A328<>\"\",IF(ZOZNAM!R319=\"\",\"\",ZOZNAM!R319),\"\")","v":""},{"$f":"IF($A328<>\"\",IF(ZOZNAM!S319=\"\",\"\",ZOZNAM!S319),\"\")","v":""},{"$f":"IF($A328<>\"\",IF(ZOZNAM!T319=\"\",\"\",ZOZNAM!T319),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C320)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C320)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C320)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C320)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C320)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C320)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L320)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L320)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L320)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L320)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L320)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L320)),FALSE))),ZOZNAM!G320>=$C$9),ZOZNAM!A320,\"\")","v":"UN295"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!B320=\"\",\"\",ZOZNAM!B320),\"\")","v":"University of Essex"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!C320=\"\",\"\",ZOZNAM!C320),\"\")","v":"Identifying Causation through Experimental & Quasi-Experimental Research"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!D320=\"\",\"\",ZOZNAM!D320),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!E320=\"\",\"\",ZOZNAM!E320),\"\")","v":10},{"$f":"IF($A329<>\"\",IF(ZOZNAM!F320=\"\",\"\",ZOZNAM!F320),\"\")","v":12},{"$f":"IF($A329<>\"\",IF(ZOZNAM!G320=\"\",\"\",ZOZNAM!G320),\"\")","v":"2019-08-05"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!H320=\"\",\"\",ZOZNAM!H320),\"\")","v":"2019-08-16"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!I320=\"\",\"\",ZOZNAM!I320),\"\")","v":"1 500 GBP"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!J320=\"\",\"\",ZOZNAM!J320),\"\")","v":"2019-05-01"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!K320=\"\",\"\",ZOZNAM!K320),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3c/"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!L320=\"\",\"\",ZOZNAM!L320),\"\")","v":"In this course, methods for conducting causal inference in the social sciences are explored.\nStudents will learn a number of causal inference designs – such as experiments, regression discontinuity, matching, and difference-in-difference – that they are able to deploy into their own work. "},{"$f":"IF($A329<>\"\",IF(ZOZNAM!M320=\"\",\"\",ZOZNAM!M320),\"\")","v":""},{"$f":"IF($A329<>\"\",IF(ZOZNAM!N320=\"\",\"\",ZOZNAM!N320),\"\")","v":"nie"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!O320=\"\",\"\",ZOZNAM!O320),\"\")","v":"áno"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!P320=\"\",\"\",ZOZNAM!P320),\"\")","v":2},{"$f":"IF($A329<>\"\",IF(ZOZNAM!Q320=\"\",\"\",ZOZNAM!Q320),\"\")","v":2},{"$f":"IF($A329<>\"\",IF(ZOZNAM!R320=\"\",\"\",ZOZNAM!R320),\"\")","v":1},{"$f":"IF($A329<>\"\",IF(ZOZNAM!S320=\"\",\"\",ZOZNAM!S320),\"\")","v":"Pokročilým"},{"$f":"IF($A329<>\"\",IF(ZOZNAM!T320=\"\",\"\",ZOZNAM!T320),\"\")","v":"Kurz je veľmi teoreticky zameraný, za krátky čas je prebraté veľké množstvo tém. Praktické zručnosti je monžé trénovať vo voľnom čase s možnosťou overenia výsledkov podľa poskytnutých zdrojových kódov. Výhodou je malý počet účastnikov - 10 ľudí. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C321)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C321)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C321)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C321)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C321)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C321)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L321)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L321)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L321)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L321)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L321)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L321)),FALSE))),ZOZNAM!G321>=$C$9),ZOZNAM!A321,\"\")","v":"UN296"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!B321=\"\",\"\",ZOZNAM!B321),\"\")","v":"University of Essex"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!C321=\"\",\"\",ZOZNAM!C321),\"\")","v":"Maximum Likelihood Estimation"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!D321=\"\",\"\",ZOZNAM!D321),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!E321=\"\",\"\",ZOZNAM!E321),\"\")","v":10},{"$f":"IF($A330<>\"\",IF(ZOZNAM!F321=\"\",\"\",ZOZNAM!F321),\"\")","v":12},{"$f":"IF($A330<>\"\",IF(ZOZNAM!G321=\"\",\"\",ZOZNAM!G321),\"\")","v":"2019-08-05"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!H321=\"\",\"\",ZOZNAM!H321),\"\")","v":"2019-08-16"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!I321=\"\",\"\",ZOZNAM!I321),\"\")","v":"1 500 GBP"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!J321=\"\",\"\",ZOZNAM!J321),\"\")","v":"2019-05-01"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!K321=\"\",\"\",ZOZNAM!K321),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3e-maximum-likelihood/"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!L321=\"\",\"\",ZOZNAM!L321),\"\")","v":"On this course students will learn about statistical models for binary, ordinal, unordered categorical, count, and duration dependent variables. They will learn about the statistical theory that is used to build these models, how to run them in Stata or in R, and how to produce results that are elegant and understandable to a wide audience."},{"$f":"IF($A330<>\"\",IF(ZOZNAM!M321=\"\",\"\",ZOZNAM!M321),\"\")","v":""},{"$f":"IF($A330<>\"\",IF(ZOZNAM!N321=\"\",\"\",ZOZNAM!N321),\"\")","v":"nie"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!O321=\"\",\"\",ZOZNAM!O321),\"\")","v":"áno"},{"$f":"IF($A330<>\"\",IF(ZOZNAM!P321=\"\",\"\",ZOZNAM!P321),\"\")","v":2},{"$f":"IF($A330<>\"\",IF(ZOZNAM!Q321=\"\",\"\",ZOZNAM!Q321),\"\")","v":""},{"$f":"IF($A330<>\"\",IF(ZOZNAM!R321=\"\",\"\",ZOZNAM!R321),\"\")","v":""},{"$f":"IF($A330<>\"\",IF(ZOZNAM!S321=\"\",\"\",ZOZNAM!S321),\"\")","v":""},{"$f":"IF($A330<>\"\",IF(ZOZNAM!T321=\"\",\"\",ZOZNAM!T321),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C322)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C322)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C322)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C322)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C322)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C322)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L322)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L322)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L322)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L322)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L322)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L322)),FALSE))),ZOZNAM!G322>=$C$9),ZOZNAM!A322,\"\")","v":"UN297"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!B322=\"\",\"\",ZOZNAM!B322),\"\")","v":"University of Essex"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!C322=\"\",\"\",ZOZNAM!C322),\"\")","v":"Bayesian Analysis for the Social and Behavioural Sciences"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!D322=\"\",\"\",ZOZNAM!D322),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!E322=\"\",\"\",ZOZNAM!E322),\"\")","v":10},{"$f":"IF($A331<>\"\",IF(ZOZNAM!F322=\"\",\"\",ZOZNAM!F322),\"\")","v":12},{"$f":"IF($A331<>\"\",IF(ZOZNAM!G322=\"\",\"\",ZOZNAM!G322),\"\")","v":"2019-08-05"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!H322=\"\",\"\",ZOZNAM!H322),\"\")","v":"2019-08-16"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!I322=\"\",\"\",ZOZNAM!I322),\"\")","v":"1 500 GBP"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!J322=\"\",\"\",ZOZNAM!J322),\"\")","v":"2019-05-01"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!K322=\"\",\"\",ZOZNAM!K322),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3f-bayesian-analysis/"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!L322=\"\",\"\",ZOZNAM!L322),\"\")","v":"In this course, you will learn the basics of practical Bayesian data analysis.\n\nThe course will deal with the theory behind Bayesian data analysis, and move toward simple, common models in the social sciences, like t tests, ANOVA, and regression. It will cover topics about more complicated models and how these may be fit to the data. Special attention will be given to Markov Chain Monte Carlo (MCMC) methods, which give Bayesian methods their immense flexibility and power. "},{"$f":"IF($A331<>\"\",IF(ZOZNAM!M322=\"\",\"\",ZOZNAM!M322),\"\")","v":""},{"$f":"IF($A331<>\"\",IF(ZOZNAM!N322=\"\",\"\",ZOZNAM!N322),\"\")","v":"nie"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!O322=\"\",\"\",ZOZNAM!O322),\"\")","v":"áno"},{"$f":"IF($A331<>\"\",IF(ZOZNAM!P322=\"\",\"\",ZOZNAM!P322),\"\")","v":2},{"$f":"IF($A331<>\"\",IF(ZOZNAM!Q322=\"\",\"\",ZOZNAM!Q322),\"\")","v":""},{"$f":"IF($A331<>\"\",IF(ZOZNAM!R322=\"\",\"\",ZOZNAM!R322),\"\")","v":""},{"$f":"IF($A331<>\"\",IF(ZOZNAM!S322=\"\",\"\",ZOZNAM!S322),\"\")","v":""},{"$f":"IF($A331<>\"\",IF(ZOZNAM!T322=\"\",\"\",ZOZNAM!T322),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C323)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C323)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C323)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C323)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C323)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C323)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L323)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L323)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L323)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L323)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L323)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L323)),FALSE))),ZOZNAM!G323>=$C$9),ZOZNAM!A323,\"\")","v":"UN298"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!B323=\"\",\"\",ZOZNAM!B323),\"\")","v":"University of Essex"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!C323=\"\",\"\",ZOZNAM!C323),\"\")","v":"Methods for policy analysis and evaluation"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!D323=\"\",\"\",ZOZNAM!D323),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!E323=\"\",\"\",ZOZNAM!E323),\"\")","v":10},{"$f":"IF($A332<>\"\",IF(ZOZNAM!F323=\"\",\"\",ZOZNAM!F323),\"\")","v":12},{"$f":"IF($A332<>\"\",IF(ZOZNAM!G323=\"\",\"\",ZOZNAM!G323),\"\")","v":"2019-08-05"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!H323=\"\",\"\",ZOZNAM!H323),\"\")","v":"2019-08-16"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!I323=\"\",\"\",ZOZNAM!I323),\"\")","v":"1 500 GBP"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!J323=\"\",\"\",ZOZNAM!J323),\"\")","v":"2019-05-01"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!K323=\"\",\"\",ZOZNAM!K323),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3g-methods-for-policy-analysis-and-evaluation/"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!L323=\"\",\"\",ZOZNAM!L323),\"\")","v":"The course will include lectures and practical work in STATA. \n\n1. Students will be able to design advanced policy evaluations with quantitative methods. In particular, they will be able to correctly apply i) regression discontinuity designs, ii) instrumental variable designs, and iii) difference-in-difference designs.\n2. Students should be able to critically evaluate the empirical soundness of existing policy evaluations"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!M323=\"\",\"\",ZOZNAM!M323),\"\")","v":""},{"$f":"IF($A332<>\"\",IF(ZOZNAM!N323=\"\",\"\",ZOZNAM!N323),\"\")","v":"nie"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!O323=\"\",\"\",ZOZNAM!O323),\"\")","v":"áno"},{"$f":"IF($A332<>\"\",IF(ZOZNAM!P323=\"\",\"\",ZOZNAM!P323),\"\")","v":2},{"$f":"IF($A332<>\"\",IF(ZOZNAM!Q323=\"\",\"\",ZOZNAM!Q323),\"\")","v":""},{"$f":"IF($A332<>\"\",IF(ZOZNAM!R323=\"\",\"\",ZOZNAM!R323),\"\")","v":""},{"$f":"IF($A332<>\"\",IF(ZOZNAM!S323=\"\",\"\",ZOZNAM!S323),\"\")","v":""},{"$f":"IF($A332<>\"\",IF(ZOZNAM!T323=\"\",\"\",ZOZNAM!T323),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C324)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C324)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C324)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C324)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C324)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C324)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L324)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L324)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L324)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L324)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L324)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L324)),FALSE))),ZOZNAM!G324>=$C$9),ZOZNAM!A324,\"\")","v":"UN299"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!B324=\"\",\"\",ZOZNAM!B324),\"\")","v":"University of Essex"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!C324=\"\",\"\",ZOZNAM!C324),\"\")","v":"Spatial Econometrics"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!D324=\"\",\"\",ZOZNAM!D324),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!E324=\"\",\"\",ZOZNAM!E324),\"\")","v":10},{"$f":"IF($A333<>\"\",IF(ZOZNAM!F324=\"\",\"\",ZOZNAM!F324),\"\")","v":12},{"$f":"IF($A333<>\"\",IF(ZOZNAM!G324=\"\",\"\",ZOZNAM!G324),\"\")","v":"2019-08-05"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!H324=\"\",\"\",ZOZNAM!H324),\"\")","v":"2019-08-16"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!I324=\"\",\"\",ZOZNAM!I324),\"\")","v":"1 500 GBP"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!J324=\"\",\"\",ZOZNAM!J324),\"\")","v":"2019-05-01"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!K324=\"\",\"\",ZOZNAM!K324),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3h-spatial-econometrics/"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!L324=\"\",\"\",ZOZNAM!L324),\"\")","v":"This course focuses on detecting, estimating, and analyzing models of spatially dependent data. Spatial interdependence – that the actions, outcomes, behaviors of some units are affected by those of other units – is ubiquitous throughout the social sciences. It includes not simply geographic space, but, more interestingly, any means by which we can conceive of units being linked (e.g., cultural ties, political affiliations, economic relationships).\nThis course demonstrates how to effectively model such dependence using spatial and spatiotemporal econometric models."},{"$f":"IF($A333<>\"\",IF(ZOZNAM!M324=\"\",\"\",ZOZNAM!M324),\"\")","v":""},{"$f":"IF($A333<>\"\",IF(ZOZNAM!N324=\"\",\"\",ZOZNAM!N324),\"\")","v":"nie"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!O324=\"\",\"\",ZOZNAM!O324),\"\")","v":"áno"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!P324=\"\",\"\",ZOZNAM!P324),\"\")","v":2},{"$f":"IF($A333<>\"\",IF(ZOZNAM!Q324=\"\",\"\",ZOZNAM!Q324),\"\")","v":3},{"$f":"IF($A333<>\"\",IF(ZOZNAM!R324=\"\",\"\",ZOZNAM!R324),\"\")","v":1},{"$f":"IF($A333<>\"\",IF(ZOZNAM!S324=\"\",\"\",ZOZNAM!S324),\"\")","v":"Profesionálom"},{"$f":"IF($A333<>\"\",IF(ZOZNAM!T324=\"\",\"\",ZOZNAM!T324),\"\")","v":"Prednášajúci boli výborní pedagógovia aj odborníci. Kurz bol veľmi teoreticky zameraný, bez výraznej aplikovanej časti. Kurz šiel do hĺbky, ale chýbali praktické príklady. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C325)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C325)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C325)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C325)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C325)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C325)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L325)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L325)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L325)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L325)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L325)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L325)),FALSE))),ZOZNAM!G325>=$C$9),ZOZNAM!A325,\"\")","v":"UN300"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!B325=\"\",\"\",ZOZNAM!B325),\"\")","v":"University of Essex"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!C325=\"\",\"\",ZOZNAM!C325),\"\")","v":"Confirmatory Factor Analysis and Structural Equation Modeling with MPLUS"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!D325=\"\",\"\",ZOZNAM!D325),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!E325=\"\",\"\",ZOZNAM!E325),\"\")","v":10},{"$f":"IF($A334<>\"\",IF(ZOZNAM!F325=\"\",\"\",ZOZNAM!F325),\"\")","v":12},{"$f":"IF($A334<>\"\",IF(ZOZNAM!G325=\"\",\"\",ZOZNAM!G325),\"\")","v":"2019-08-05"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!H325=\"\",\"\",ZOZNAM!H325),\"\")","v":"2019-08-16"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!I325=\"\",\"\",ZOZNAM!I325),\"\")","v":"1 500 GBP"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!J325=\"\",\"\",ZOZNAM!J325),\"\")","v":"2019-05-01"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!K325=\"\",\"\",ZOZNAM!K325),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3i-sem/"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!L325=\"\",\"\",ZOZNAM!L325),\"\")","v":"The course shows how a Measurement model and a substantive model can be translated into a structural equation model, and how the model can be estimated and tested with the MPLUS 8 computer program. It deals with confirmatory factor analysis (CFA) relating single or multiple indicators to one (CFA) or several latent variables (Simultaneous Confirmatory Factor Analysis and second order confirmatory factor analysis). \n\nSpecial emphasis is given to the cross cultural analysis of multiple groups (MGCFA) for comparisons within and between societies and over time points(repeated cross-sections) including intercepts of observed variables and latent means. \nSpecial emphasis is directed toward the use of the multiple-group option, for cross-national comparisons of both the measurement and the structural model. A major focus will be the process of model modification and alternative model testing using adequate fit measures and how to report CFA and SEM results. "},{"$f":"IF($A334<>\"\",IF(ZOZNAM!M325=\"\",\"\",ZOZNAM!M325),\"\")","v":""},{"$f":"IF($A334<>\"\",IF(ZOZNAM!N325=\"\",\"\",ZOZNAM!N325),\"\")","v":"nie"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!O325=\"\",\"\",ZOZNAM!O325),\"\")","v":"áno"},{"$f":"IF($A334<>\"\",IF(ZOZNAM!P325=\"\",\"\",ZOZNAM!P325),\"\")","v":2},{"$f":"IF($A334<>\"\",IF(ZOZNAM!Q325=\"\",\"\",ZOZNAM!Q325),\"\")","v":""},{"$f":"IF($A334<>\"\",IF(ZOZNAM!R325=\"\",\"\",ZOZNAM!R325),\"\")","v":""},{"$f":"IF($A334<>\"\",IF(ZOZNAM!S325=\"\",\"\",ZOZNAM!S325),\"\")","v":""},{"$f":"IF($A334<>\"\",IF(ZOZNAM!T325=\"\",\"\",ZOZNAM!T325),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C326)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C326)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C326)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C326)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C326)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C326)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L326)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L326)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L326)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L326)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L326)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L326)),FALSE))),ZOZNAM!G326>=$C$9),ZOZNAM!A326,\"\")","v":"UN301"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!B326=\"\",\"\",ZOZNAM!B326),\"\")","v":"University of Essex"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!C326=\"\",\"\",ZOZNAM!C326),\"\")","v":"Advanced Quantitative Data Analysis"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!D326=\"\",\"\",ZOZNAM!D326),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!E326=\"\",\"\",ZOZNAM!E326),\"\")","v":10},{"$f":"IF($A335<>\"\",IF(ZOZNAM!F326=\"\",\"\",ZOZNAM!F326),\"\")","v":12},{"$f":"IF($A335<>\"\",IF(ZOZNAM!G326=\"\",\"\",ZOZNAM!G326),\"\")","v":"2019-08-05"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!H326=\"\",\"\",ZOZNAM!H326),\"\")","v":"2019-08-16"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!I326=\"\",\"\",ZOZNAM!I326),\"\")","v":"1 500 GBP"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!J326=\"\",\"\",ZOZNAM!J326),\"\")","v":"2019-05-01"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!K326=\"\",\"\",ZOZNAM!K326),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3j-advanced-quantitative-data-analysis/"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!L326=\"\",\"\",ZOZNAM!L326),\"\")","v":"Building on students’ knowledge in simple linear regression, this course introduces more advanced statistical techniques. We will focus on the following topics: 1) Subclassification, matching, and propensity score weighting as fundamental strategies to reduce confounding; 2) Common interpretations of the OLS estimator; 3) Robust inference with cluster-robust standard errors as well as bootstrap estimators; 4) Classical exposition of various biases and introduction to causal graphs to select control variables; 5) Specification and interpretation of interactions and non-linear effects; 6) Instrumental variable estimation with two-stage least-squares and the Heckman estimator for selected samples; 7) Two-way fixed effects and the difference-in-difference estimator with panel data; 8) Generalized linear models with examples for limited dependent variables and a discussion on structural parameters vs. causal estimands. "},{"$f":"IF($A335<>\"\",IF(ZOZNAM!M326=\"\",\"\",ZOZNAM!M326),\"\")","v":""},{"$f":"IF($A335<>\"\",IF(ZOZNAM!N326=\"\",\"\",ZOZNAM!N326),\"\")","v":"nie"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!O326=\"\",\"\",ZOZNAM!O326),\"\")","v":"áno"},{"$f":"IF($A335<>\"\",IF(ZOZNAM!P326=\"\",\"\",ZOZNAM!P326),\"\")","v":2},{"$f":"IF($A335<>\"\",IF(ZOZNAM!Q326=\"\",\"\",ZOZNAM!Q326),\"\")","v":""},{"$f":"IF($A335<>\"\",IF(ZOZNAM!R326=\"\",\"\",ZOZNAM!R326),\"\")","v":""},{"$f":"IF($A335<>\"\",IF(ZOZNAM!S326=\"\",\"\",ZOZNAM!S326),\"\")","v":""},{"$f":"IF($A335<>\"\",IF(ZOZNAM!T326=\"\",\"\",ZOZNAM!T326),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C327)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C327)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C327)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C327)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C327)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C327)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L327)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L327)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L327)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L327)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L327)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L327)),FALSE))),ZOZNAM!G327>=$C$9),ZOZNAM!A327,\"\")","v":"UN302"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!B327=\"\",\"\",ZOZNAM!B327),\"\")","v":"University of Essex"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!C327=\"\",\"\",ZOZNAM!C327),\"\")","v":"Time Series and Panel Models for Dynamic and Heterogeneous Processes"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!D327=\"\",\"\",ZOZNAM!D327),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!E327=\"\",\"\",ZOZNAM!E327),\"\")","v":10},{"$f":"IF($A336<>\"\",IF(ZOZNAM!F327=\"\",\"\",ZOZNAM!F327),\"\")","v":12},{"$f":"IF($A336<>\"\",IF(ZOZNAM!G327=\"\",\"\",ZOZNAM!G327),\"\")","v":"2019-08-05"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!H327=\"\",\"\",ZOZNAM!H327),\"\")","v":"2019-08-16"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!I327=\"\",\"\",ZOZNAM!I327),\"\")","v":"1 500 GBP"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!J327=\"\",\"\",ZOZNAM!J327),\"\")","v":"2019-05-01"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!K327=\"\",\"\",ZOZNAM!K327),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3k/"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!L327=\"\",\"\",ZOZNAM!L327),\"\")","v":"This is an applied course for social scientists that focuses on dynamic models of time series data in single and multiple units (panels). The course introduces fundamental concepts in time series analysis and core issues of heterogeneity when combining multiple time series.The course considers single and multiple-unit time series with ARMA structures. Then, several widely used models involving cointegration and error correction, VAR and VECM, ARCH and GARCH and Markov switching processes are discussed. "},{"$f":"IF($A336<>\"\",IF(ZOZNAM!M327=\"\",\"\",ZOZNAM!M327),\"\")","v":""},{"$f":"IF($A336<>\"\",IF(ZOZNAM!N327=\"\",\"\",ZOZNAM!N327),\"\")","v":"nie"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!O327=\"\",\"\",ZOZNAM!O327),\"\")","v":"áno"},{"$f":"IF($A336<>\"\",IF(ZOZNAM!P327=\"\",\"\",ZOZNAM!P327),\"\")","v":2},{"$f":"IF($A336<>\"\",IF(ZOZNAM!Q327=\"\",\"\",ZOZNAM!Q327),\"\")","v":""},{"$f":"IF($A336<>\"\",IF(ZOZNAM!R327=\"\",\"\",ZOZNAM!R327),\"\")","v":""},{"$f":"IF($A336<>\"\",IF(ZOZNAM!S327=\"\",\"\",ZOZNAM!S327),\"\")","v":""},{"$f":"IF($A336<>\"\",IF(ZOZNAM!T327=\"\",\"\",ZOZNAM!T327),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C328)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C328)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C328)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C328)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C328)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C328)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L328)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L328)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L328)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L328)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L328)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L328)),FALSE))),ZOZNAM!G328>=$C$9),ZOZNAM!A328,\"\")","v":"UN303"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!B328=\"\",\"\",ZOZNAM!B328),\"\")","v":"University of Essex"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!C328=\"\",\"\",ZOZNAM!C328),\"\")","v":"Ideal Point Estimation and Scaling Methods"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!D328=\"\",\"\",ZOZNAM!D328),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!E328=\"\",\"\",ZOZNAM!E328),\"\")","v":10},{"$f":"IF($A337<>\"\",IF(ZOZNAM!F328=\"\",\"\",ZOZNAM!F328),\"\")","v":12},{"$f":"IF($A337<>\"\",IF(ZOZNAM!G328=\"\",\"\",ZOZNAM!G328),\"\")","v":"2019-08-05"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!H328=\"\",\"\",ZOZNAM!H328),\"\")","v":"2019-08-16"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!I328=\"\",\"\",ZOZNAM!I328),\"\")","v":"1 500 GBP"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!J328=\"\",\"\",ZOZNAM!J328),\"\")","v":"2019-05-01"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!K328=\"\",\"\",ZOZNAM!K328),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3l-ideal-point-estimation-item-response-theory-and-scaling-methods/"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!L328=\"\",\"\",ZOZNAM!L328),\"\")","v":"This course focuses on methods to discover and understand latent patterns in data. \nThe course introduces students to measurement theory and methods of ideal point estimation, as well as related scaling techniques, including item response theory.\nThe course will demonstrate how to interpret latent dimensions of data via a variety of ideal point estimation and scaling methods using the open-source programming language R. The course will also discuss a range of applications these methods to social science studies of relational and perception data derived from elite behaviour and surveys. It also deals with recent advances in the field and practical advice for those seeking to use such methods."},{"$f":"IF($A337<>\"\",IF(ZOZNAM!M328=\"\",\"\",ZOZNAM!M328),\"\")","v":""},{"$f":"IF($A337<>\"\",IF(ZOZNAM!N328=\"\",\"\",ZOZNAM!N328),\"\")","v":"nie"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!O328=\"\",\"\",ZOZNAM!O328),\"\")","v":"áno"},{"$f":"IF($A337<>\"\",IF(ZOZNAM!P328=\"\",\"\",ZOZNAM!P328),\"\")","v":2},{"$f":"IF($A337<>\"\",IF(ZOZNAM!Q328=\"\",\"\",ZOZNAM!Q328),\"\")","v":""},{"$f":"IF($A337<>\"\",IF(ZOZNAM!R328=\"\",\"\",ZOZNAM!R328),\"\")","v":""},{"$f":"IF($A337<>\"\",IF(ZOZNAM!S328=\"\",\"\",ZOZNAM!S328),\"\")","v":""},{"$f":"IF($A337<>\"\",IF(ZOZNAM!T328=\"\",\"\",ZOZNAM!T328),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C329)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C329)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C329)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C329)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C329)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C329)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L329)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L329)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L329)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L329)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L329)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L329)),FALSE))),ZOZNAM!G329>=$C$9),ZOZNAM!A329,\"\")","v":"UN304"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!B329=\"\",\"\",ZOZNAM!B329),\"\")","v":"University of Essex"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!C329=\"\",\"\",ZOZNAM!C329),\"\")","v":"Advanced Machine Learning for Social Scientists"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!D329=\"\",\"\",ZOZNAM!D329),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!E329=\"\",\"\",ZOZNAM!E329),\"\")","v":10},{"$f":"IF($A338<>\"\",IF(ZOZNAM!F329=\"\",\"\",ZOZNAM!F329),\"\")","v":12},{"$f":"IF($A338<>\"\",IF(ZOZNAM!G329=\"\",\"\",ZOZNAM!G329),\"\")","v":"2019-08-05"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!H329=\"\",\"\",ZOZNAM!H329),\"\")","v":"2019-08-16"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!I329=\"\",\"\",ZOZNAM!I329),\"\")","v":"1 500 GBP"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!J329=\"\",\"\",ZOZNAM!J329),\"\")","v":"2019-05-01"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!K329=\"\",\"\",ZOZNAM!K329),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3n-2/"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!L329=\"\",\"\",ZOZNAM!L329),\"\")","v":"The goal of this course is to introduced students to several machine learning techniques, starting with unsupervised clustering algorithms, then turning to supervised methods, including Bayes classifiers and regression trees, and lastly covering more advanced ensemble approaches.\n\nTo facilitate interpretation and comparison of the different techniques, the implementation of each method will be illustrated via applications to election forensics – an emerging area of scholarship that focuses on using statistical techniques to detect anomalies in election returns. The course will emphasize active learning and will have a strong applied component."},{"$f":"IF($A338<>\"\",IF(ZOZNAM!M329=\"\",\"\",ZOZNAM!M329),\"\")","v":""},{"$f":"IF($A338<>\"\",IF(ZOZNAM!N329=\"\",\"\",ZOZNAM!N329),\"\")","v":"nie"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!O329=\"\",\"\",ZOZNAM!O329),\"\")","v":"áno"},{"$f":"IF($A338<>\"\",IF(ZOZNAM!P329=\"\",\"\",ZOZNAM!P329),\"\")","v":2},{"$f":"IF($A338<>\"\",IF(ZOZNAM!Q329=\"\",\"\",ZOZNAM!Q329),\"\")","v":""},{"$f":"IF($A338<>\"\",IF(ZOZNAM!R329=\"\",\"\",ZOZNAM!R329),\"\")","v":""},{"$f":"IF($A338<>\"\",IF(ZOZNAM!S329=\"\",\"\",ZOZNAM!S329),\"\")","v":""},{"$f":"IF($A338<>\"\",IF(ZOZNAM!T329=\"\",\"\",ZOZNAM!T329),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C330)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C330)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C330)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C330)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C330)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C330)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L330)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L330)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L330)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L330)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L330)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L330)),FALSE))),ZOZNAM!G330>=$C$9),ZOZNAM!A330,\"\")","v":"UN305"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!B330=\"\",\"\",ZOZNAM!B330),\"\")","v":"University of Essex"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!C330=\"\",\"\",ZOZNAM!C330),\"\")","v":"Agent Based Models"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!D330=\"\",\"\",ZOZNAM!D330),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!E330=\"\",\"\",ZOZNAM!E330),\"\")","v":5},{"$f":"IF($A339<>\"\",IF(ZOZNAM!F330=\"\",\"\",ZOZNAM!F330),\"\")","v":5},{"$f":"IF($A339<>\"\",IF(ZOZNAM!G330=\"\",\"\",ZOZNAM!G330),\"\")","v":"2019-08-05"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!H330=\"\",\"\",ZOZNAM!H330),\"\")","v":"2019-08-09"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!I330=\"\",\"\",ZOZNAM!I330),\"\")","v":"750 GBP"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!J330=\"\",\"\",ZOZNAM!J330),\"\")","v":"2019-05-01"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!K330=\"\",\"\",ZOZNAM!K330),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3p/"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!L330=\"\",\"\",ZOZNAM!L330),\"\")","v":"By the end of this course, students will learn to turn a rough idea about a social science phenomenon into an account of the agents, behaviors, environments, and their interactions that can then be modeled in NetLogo. In addition to learning about modeling, students will be capable of using concepts and code from existing models, of turning their concepts into code, and of analyzing and evaluating the models that they create. "},{"$f":"IF($A339<>\"\",IF(ZOZNAM!M330=\"\",\"\",ZOZNAM!M330),\"\")","v":""},{"$f":"IF($A339<>\"\",IF(ZOZNAM!N330=\"\",\"\",ZOZNAM!N330),\"\")","v":"nie"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!O330=\"\",\"\",ZOZNAM!O330),\"\")","v":"áno"},{"$f":"IF($A339<>\"\",IF(ZOZNAM!P330=\"\",\"\",ZOZNAM!P330),\"\")","v":2},{"$f":"IF($A339<>\"\",IF(ZOZNAM!Q330=\"\",\"\",ZOZNAM!Q330),\"\")","v":""},{"$f":"IF($A339<>\"\",IF(ZOZNAM!R330=\"\",\"\",ZOZNAM!R330),\"\")","v":""},{"$f":"IF($A339<>\"\",IF(ZOZNAM!S330=\"\",\"\",ZOZNAM!S330),\"\")","v":""},{"$f":"IF($A339<>\"\",IF(ZOZNAM!T330=\"\",\"\",ZOZNAM!T330),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C331)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C331)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C331)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C331)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C331)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C331)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L331)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L331)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L331)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L331)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L331)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L331)),FALSE))),ZOZNAM!G331>=$C$9),ZOZNAM!A331,\"\")","v":"UT306"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!B331=\"\",\"\",ZOZNAM!B331),\"\")","v":"Utrecht University"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!C331=\"\",\"\",ZOZNAM!C331),\"\")","v":"Introduction to Structural Equation Modelling using Mplus"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!D331=\"\",\"\",ZOZNAM!D331),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!E331=\"\",\"\",ZOZNAM!E331),\"\")","v":5},{"$f":"IF($A340<>\"\",IF(ZOZNAM!F331=\"\",\"\",ZOZNAM!F331),\"\")","v":5},{"$f":"IF($A340<>\"\",IF(ZOZNAM!G331=\"\",\"\",ZOZNAM!G331),\"\")","v":"2019-07-08"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!H331=\"\",\"\",ZOZNAM!H331),\"\")","v":"2019-07-12"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!I331=\"\",\"\",ZOZNAM!I331),\"\")","v":"800 EUR"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!J331=\"\",\"\",ZOZNAM!J331),\"\")","v":"2019-06-24"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!K331=\"\",\"\",ZOZNAM!K331),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/introduction-to-structural-equation-modelling-using-mplus"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!L331=\"\",\"\",ZOZNAM!L331),\"\")","v":"The main objective of the course is to acquire a basic understanding of how to use Mplus for SEM as applied in the social and behavioural sciences. Moreover, participants will learn how to analyze datasets with Mplus, to interpret the output and to report the results."},{"$f":"IF($A340<>\"\",IF(ZOZNAM!M331=\"\",\"\",ZOZNAM!M331),\"\")","v":""},{"$f":"IF($A340<>\"\",IF(ZOZNAM!N331=\"\",\"\",ZOZNAM!N331),\"\")","v":"áno"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!O331=\"\",\"\",ZOZNAM!O331),\"\")","v":"nie"},{"$f":"IF($A340<>\"\",IF(ZOZNAM!P331=\"\",\"\",ZOZNAM!P331),\"\")","v":2},{"$f":"IF($A340<>\"\",IF(ZOZNAM!Q331=\"\",\"\",ZOZNAM!Q331),\"\")","v":""},{"$f":"IF($A340<>\"\",IF(ZOZNAM!R331=\"\",\"\",ZOZNAM!R331),\"\")","v":""},{"$f":"IF($A340<>\"\",IF(ZOZNAM!S331=\"\",\"\",ZOZNAM!S331),\"\")","v":""},{"$f":"IF($A340<>\"\",IF(ZOZNAM!T331=\"\",\"\",ZOZNAM!T331),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C332)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C332)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C332)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C332)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C332)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C332)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L332)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L332)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L332)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L332)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L332)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L332)),FALSE))),ZOZNAM!G332>=$C$9),ZOZNAM!A332,\"\")","v":"UT316"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!B332=\"\",\"\",ZOZNAM!B332),\"\")","v":"Utrecht University"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!C332=\"\",\"\",ZOZNAM!C332),\"\")","v":"Introduction to GIS for Human and Behavioral Scientists"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!D332=\"\",\"\",ZOZNAM!D332),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!E332=\"\",\"\",ZOZNAM!E332),\"\")","v":5},{"$f":"IF($A341<>\"\",IF(ZOZNAM!F332=\"\",\"\",ZOZNAM!F332),\"\")","v":5},{"$f":"IF($A341<>\"\",IF(ZOZNAM!G332=\"\",\"\",ZOZNAM!G332),\"\")","v":"2019-07-08"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!H332=\"\",\"\",ZOZNAM!H332),\"\")","v":"2019-07-12"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!I332=\"\",\"\",ZOZNAM!I332),\"\")","v":"500 EUR"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!J332=\"\",\"\",ZOZNAM!J332),\"\")","v":"2019-06-01"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!K332=\"\",\"\",ZOZNAM!K332),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/introduction-to-gis-for-human-and-behavioral-scientists"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!L332=\"\",\"\",ZOZNAM!L332),\"\")","v":"This course aims at highlighting the specific qualities of GIS regarding visualization and combination of datasets with a spatial component. Several topics will be covered, such as introduction to ArcGIS 10.4 and a presentation of data and results.\n\nIn this course the lecturers cover topics including various types of geo-data, collecting, geo-referencing and projecting of address data, data visualization and thematic mapping in ArcGIS, use of ‘Basemaps’ and other public data sources, proximity based analysis, data and result presentation in ArcGIS.\n\nThe course will provide the students with insight in the principles of sense making of GPS Data in a GIS environment. \nSpecific objectives to the course are to provide insights and training in: \n\n-\tUse of public geo- and statistical data\n-\tData capture through geo-referencing\n-\tThematic mapping of survey or statistical data\n-\tAirline distance (proximity) based analysis"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!M332=\"\",\"\",ZOZNAM!M332),\"\")","v":""},{"$f":"IF($A341<>\"\",IF(ZOZNAM!N332=\"\",\"\",ZOZNAM!N332),\"\")","v":"áno"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!O332=\"\",\"\",ZOZNAM!O332),\"\")","v":"nie"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!P332=\"\",\"\",ZOZNAM!P332),\"\")","v":2},{"$f":"IF($A341<>\"\",IF(ZOZNAM!Q332=\"\",\"\",ZOZNAM!Q332),\"\")","v":1},{"$f":"IF($A341<>\"\",IF(ZOZNAM!R332=\"\",\"\",ZOZNAM!R332),\"\")","v":1},{"$f":"IF($A341<>\"\",IF(ZOZNAM!S332=\"\",\"\",ZOZNAM!S332),\"\")","v":"Začiatočníkom"},{"$f":"IF($A341<>\"\",IF(ZOZNAM!T332=\"\",\"\",ZOZNAM!T332),\"\")","v":"Manuál, ktorí účastníci dostali je veľmi ľahko použiteľný aj na praktické príklady, ktoré riešia vo svojej pracovnej náplni. Využíva sa však program ArcGIS, ktorý služobný úrad nemá zakúpený, takže získané zručnosti musia byť preklápané do open source softvéru."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C333)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C333)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C333)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C333)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C333)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C333)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L333)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L333)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L333)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L333)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L333)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L333)),FALSE))),ZOZNAM!G333>=$C$9),ZOZNAM!A333,\"\")","v":"UT317"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!B333=\"\",\"\",ZOZNAM!B333),\"\")","v":"Utrecht University"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!C333=\"\",\"\",ZOZNAM!C333),\"\")","v":"Hypothesis Evaluation: P-Values, Bayes Factor, and Information Criteria"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!D333=\"\",\"\",ZOZNAM!D333),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!E333=\"\",\"\",ZOZNAM!E333),\"\")","v":4},{"$f":"IF($A342<>\"\",IF(ZOZNAM!F333=\"\",\"\",ZOZNAM!F333),\"\")","v":4},{"$f":"IF($A342<>\"\",IF(ZOZNAM!G333=\"\",\"\",ZOZNAM!G333),\"\")","v":"2019-07-08"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!H333=\"\",\"\",ZOZNAM!H333),\"\")","v":"2019-07-11"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!I333=\"\",\"\",ZOZNAM!I333),\"\")","v":"550 EUR"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!J333=\"\",\"\",ZOZNAM!J333),\"\")","v":"2019-06-24"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!K333=\"\",\"\",ZOZNAM!K333),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/hypothesis_evaluation_p_values_bayes_factor_and_information_criteria"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!L333=\"\",\"\",ZOZNAM!L333),\"\")","v":"This course discusses the evaluation of theory-based hypotheses using p-values, the Bayes factor, and information criteria. T\n\nThis course will be also used to give a hand-on introduction to statistical analyses using R. \n\nCourse deals with an introduction of information criteria (i.e., AIC and its generalization called the GORIC) and a brief repetition of theory-based hypotheses. It will be elaborated how the GORIC can be used to evaluate null, alternative, and theory-based hypotheses. There will be attention for GORIC weights, which have a nice interpretation. "},{"$f":"IF($A342<>\"\",IF(ZOZNAM!M333=\"\",\"\",ZOZNAM!M333),\"\")","v":""},{"$f":"IF($A342<>\"\",IF(ZOZNAM!N333=\"\",\"\",ZOZNAM!N333),\"\")","v":"áno"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!O333=\"\",\"\",ZOZNAM!O333),\"\")","v":"nie"},{"$f":"IF($A342<>\"\",IF(ZOZNAM!P333=\"\",\"\",ZOZNAM!P333),\"\")","v":2},{"$f":"IF($A342<>\"\",IF(ZOZNAM!Q333=\"\",\"\",ZOZNAM!Q333),\"\")","v":""},{"$f":"IF($A342<>\"\",IF(ZOZNAM!R333=\"\",\"\",ZOZNAM!R333),\"\")","v":""},{"$f":"IF($A342<>\"\",IF(ZOZNAM!S333=\"\",\"\",ZOZNAM!S333),\"\")","v":""},{"$f":"IF($A342<>\"\",IF(ZOZNAM!T333=\"\",\"\",ZOZNAM!T333),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C334)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C334)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C334)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C334)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C334)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C334)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L334)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L334)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L334)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L334)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L334)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L334)),FALSE))),ZOZNAM!G334>=$C$9),ZOZNAM!A334,\"\")","v":"UT307"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!B334=\"\",\"\",ZOZNAM!B334),\"\")","v":"Utrecht University"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!C334=\"\",\"\",ZOZNAM!C334),\"\")","v":"Introduction to Multilevel Analysis"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!D334=\"\",\"\",ZOZNAM!D334),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!E334=\"\",\"\",ZOZNAM!E334),\"\")","v":3},{"$f":"IF($A343<>\"\",IF(ZOZNAM!F334=\"\",\"\",ZOZNAM!F334),\"\")","v":3},{"$f":"IF($A343<>\"\",IF(ZOZNAM!G334=\"\",\"\",ZOZNAM!G334),\"\")","v":"2019-07-10"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!H334=\"\",\"\",ZOZNAM!H334),\"\")","v":"2019-07-12"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!I334=\"\",\"\",ZOZNAM!I334),\"\")","v":"650 EUR"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!J334=\"\",\"\",ZOZNAM!J334),\"\")","v":"2019-06-21"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!K334=\"\",\"\",ZOZNAM!K334),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/introduction-to-multilevel-analysis"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!L334=\"\",\"\",ZOZNAM!L334),\"\")","v":"This course will teach participant  the theoretical basics of multilevel modeling and some important methodological and statistical issues. They will also learn how to analyze multilevel data sets with the HLM program, to interpret the output and to report the results. The benefits of multilevel analysis are discussed both in theory as with empirical examples.\nThis course restricts to a quantitative (i.e. continuous) outcome variable. Categorical outcomes are part of the course Advanced Multilevel."},{"$f":"IF($A343<>\"\",IF(ZOZNAM!M334=\"\",\"\",ZOZNAM!M334),\"\")","v":""},{"$f":"IF($A343<>\"\",IF(ZOZNAM!N334=\"\",\"\",ZOZNAM!N334),\"\")","v":"áno"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!O334=\"\",\"\",ZOZNAM!O334),\"\")","v":"nie"},{"$f":"IF($A343<>\"\",IF(ZOZNAM!P334=\"\",\"\",ZOZNAM!P334),\"\")","v":2},{"$f":"IF($A343<>\"\",IF(ZOZNAM!Q334=\"\",\"\",ZOZNAM!Q334),\"\")","v":""},{"$f":"IF($A343<>\"\",IF(ZOZNAM!R334=\"\",\"\",ZOZNAM!R334),\"\")","v":""},{"$f":"IF($A343<>\"\",IF(ZOZNAM!S334=\"\",\"\",ZOZNAM!S334),\"\")","v":""},{"$f":"IF($A343<>\"\",IF(ZOZNAM!T334=\"\",\"\",ZOZNAM!T334),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C335)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C335)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C335)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C335)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C335)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C335)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L335)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L335)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L335)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L335)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L335)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L335)),FALSE))),ZOZNAM!G335>=$C$9),ZOZNAM!A335,\"\")","v":"UT308"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!B335=\"\",\"\",ZOZNAM!B335),\"\")","v":"Utrecht University"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!C335=\"\",\"\",ZOZNAM!C335),\"\")","v":"Advanced course on using Mplus"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!D335=\"\",\"\",ZOZNAM!D335),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!E335=\"\",\"\",ZOZNAM!E335),\"\")","v":5},{"$f":"IF($A344<>\"\",IF(ZOZNAM!F335=\"\",\"\",ZOZNAM!F335),\"\")","v":5},{"$f":"IF($A344<>\"\",IF(ZOZNAM!G335=\"\",\"\",ZOZNAM!G335),\"\")","v":"2019-07-15"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!H335=\"\",\"\",ZOZNAM!H335),\"\")","v":"2019-07-19"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!I335=\"\",\"\",ZOZNAM!I335),\"\")","v":"800 EUR"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!J335=\"\",\"\",ZOZNAM!J335),\"\")","v":"2019-07-01"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!K335=\"\",\"\",ZOZNAM!K335),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/advanced-course-on-using-mplus"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!L335=\"\",\"\",ZOZNAM!L335),\"\")","v":"This is a five-day course on structural equation modeling (SEM) using Mplus. This course will teach participants about advanced longitudinal analyses. The course consists of in-depth lectures on the fundamentals of Mplus and advanced longitudinal models."},{"$f":"IF($A344<>\"\",IF(ZOZNAM!M335=\"\",\"\",ZOZNAM!M335),\"\")","v":""},{"$f":"IF($A344<>\"\",IF(ZOZNAM!N335=\"\",\"\",ZOZNAM!N335),\"\")","v":"áno"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!O335=\"\",\"\",ZOZNAM!O335),\"\")","v":"nie"},{"$f":"IF($A344<>\"\",IF(ZOZNAM!P335=\"\",\"\",ZOZNAM!P335),\"\")","v":2},{"$f":"IF($A344<>\"\",IF(ZOZNAM!Q335=\"\",\"\",ZOZNAM!Q335),\"\")","v":""},{"$f":"IF($A344<>\"\",IF(ZOZNAM!R335=\"\",\"\",ZOZNAM!R335),\"\")","v":""},{"$f":"IF($A344<>\"\",IF(ZOZNAM!S335=\"\",\"\",ZOZNAM!S335),\"\")","v":""},{"$f":"IF($A344<>\"\",IF(ZOZNAM!T335=\"\",\"\",ZOZNAM!T335),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C336)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C336)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C336)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C336)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C336)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C336)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L336)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L336)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L336)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L336)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L336)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L336)),FALSE))),ZOZNAM!G336>=$C$9),ZOZNAM!A336,\"\")","v":"UT309"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!B336=\"\",\"\",ZOZNAM!B336),\"\")","v":"Utrecht University"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!C336=\"\",\"\",ZOZNAM!C336),\"\")","v":"Data Science: Statistical Programming with R"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!D336=\"\",\"\",ZOZNAM!D336),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!E336=\"\",\"\",ZOZNAM!E336),\"\")","v":5},{"$f":"IF($A345<>\"\",IF(ZOZNAM!F336=\"\",\"\",ZOZNAM!F336),\"\")","v":5},{"$f":"IF($A345<>\"\",IF(ZOZNAM!G336=\"\",\"\",ZOZNAM!G336),\"\")","v":"2019-07-15"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!H336=\"\",\"\",ZOZNAM!H336),\"\")","v":"2019-07-19"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!I336=\"\",\"\",ZOZNAM!I336),\"\")","v":"800 EUR"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!J336=\"\",\"\",ZOZNAM!J336),\"\")","v":"2019-07-01"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!K336=\"\",\"\",ZOZNAM!K336),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-statistical-programming-with-r"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!L336=\"\",\"\",ZOZNAM!L336),\"\")","v":"This course offers an elaborate introduction into statistical programming in R. Students learn to operate R, form pipelines for data analysis, make high quality graphics, fit, assess and interpret a variety of statistical models and do advanced statistical programming. The statistical theory in this course covers t-testing, regression models for linear, dichotomous, ordinal and multivariate data, statistical inference, statistical learning, bootstrapping and Monte Carlo simulation techniques."},{"$f":"IF($A345<>\"\",IF(ZOZNAM!M336=\"\",\"\",ZOZNAM!M336),\"\")","v":""},{"$f":"IF($A345<>\"\",IF(ZOZNAM!N336=\"\",\"\",ZOZNAM!N336),\"\")","v":"áno"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!O336=\"\",\"\",ZOZNAM!O336),\"\")","v":"nie"},{"$f":"IF($A345<>\"\",IF(ZOZNAM!P336=\"\",\"\",ZOZNAM!P336),\"\")","v":2},{"$f":"IF($A345<>\"\",IF(ZOZNAM!Q336=\"\",\"\",ZOZNAM!Q336),\"\")","v":""},{"$f":"IF($A345<>\"\",IF(ZOZNAM!R336=\"\",\"\",ZOZNAM!R336),\"\")","v":""},{"$f":"IF($A345<>\"\",IF(ZOZNAM!S336=\"\",\"\",ZOZNAM!S336),\"\")","v":""},{"$f":"IF($A345<>\"\",IF(ZOZNAM!T336=\"\",\"\",ZOZNAM!T336),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C337)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C337)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C337)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C337)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C337)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C337)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L337)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L337)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L337)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L337)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L337)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L337)),FALSE))),ZOZNAM!G337>=$C$9),ZOZNAM!A337,\"\")","v":"UT310"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!B337=\"\",\"\",ZOZNAM!B337),\"\")","v":"Utrecht University"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!C337=\"\",\"\",ZOZNAM!C337),\"\")","v":"Data Science: Multiple Imputation in Practice"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!D337=\"\",\"\",ZOZNAM!D337),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!E337=\"\",\"\",ZOZNAM!E337),\"\")","v":4},{"$f":"IF($A346<>\"\",IF(ZOZNAM!F337=\"\",\"\",ZOZNAM!F337),\"\")","v":4},{"$f":"IF($A346<>\"\",IF(ZOZNAM!G337=\"\",\"\",ZOZNAM!G337),\"\")","v":"2019-07-22"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!H337=\"\",\"\",ZOZNAM!H337),\"\")","v":"2019-07-25"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!I337=\"\",\"\",ZOZNAM!I337),\"\")","v":"750 EUR"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!J337=\"\",\"\",ZOZNAM!J337),\"\")","v":"2019-07-08"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!K337=\"\",\"\",ZOZNAM!K337),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-multiple-imputation-in-practice"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!L337=\"\",\"\",ZOZNAM!L337),\"\")","v":"On this course participants will learn how to form imputation models, how to combine data sets, how to model non-response, how to use diagnostics to inspect the imputed values, how to obtain valid inference on incomplete data and how to avoid many of the pitfalls associated with real-life missing data problems.\n\nThe course will explain the principles of missing data theory, outline a step-by-step approach toward creating high quality imputations, and provide guidelines how the results can be reported. The course will use the authors' MICE package in R, and explain how to bridge to mainstream analysis software such as SPSS and Mplus."},{"$f":"IF($A346<>\"\",IF(ZOZNAM!M337=\"\",\"\",ZOZNAM!M337),\"\")","v":""},{"$f":"IF($A346<>\"\",IF(ZOZNAM!N337=\"\",\"\",ZOZNAM!N337),\"\")","v":"áno"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!O337=\"\",\"\",ZOZNAM!O337),\"\")","v":"nie"},{"$f":"IF($A346<>\"\",IF(ZOZNAM!P337=\"\",\"\",ZOZNAM!P337),\"\")","v":2},{"$f":"IF($A346<>\"\",IF(ZOZNAM!Q337=\"\",\"\",ZOZNAM!Q337),\"\")","v":""},{"$f":"IF($A346<>\"\",IF(ZOZNAM!R337=\"\",\"\",ZOZNAM!R337),\"\")","v":""},{"$f":"IF($A346<>\"\",IF(ZOZNAM!S337=\"\",\"\",ZOZNAM!S337),\"\")","v":""},{"$f":"IF($A346<>\"\",IF(ZOZNAM!T337=\"\",\"\",ZOZNAM!T337),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C338)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C338)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C338)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C338)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C338)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C338)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L338)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L338)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L338)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L338)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L338)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L338)),FALSE))),ZOZNAM!G338>=$C$9),ZOZNAM!A338,\"\")","v":"UT311"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!B338=\"\",\"\",ZOZNAM!B338),\"\")","v":"Utrecht University"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!C338=\"\",\"\",ZOZNAM!C338),\"\")","v":"Data Science: Data Analysis and Visualization"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!D338=\"\",\"\",ZOZNAM!D338),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!E338=\"\",\"\",ZOZNAM!E338),\"\")","v":5},{"$f":"IF($A347<>\"\",IF(ZOZNAM!F338=\"\",\"\",ZOZNAM!F338),\"\")","v":5},{"$f":"IF($A347<>\"\",IF(ZOZNAM!G338=\"\",\"\",ZOZNAM!G338),\"\")","v":"2019-07-29"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!H338=\"\",\"\",ZOZNAM!H338),\"\")","v":"2019-08-02"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!I338=\"\",\"\",ZOZNAM!I338),\"\")","v":"800 EUR"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!J338=\"\",\"\",ZOZNAM!J338),\"\")","v":"2019-07-15"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!K338=\"\",\"\",ZOZNAM!K338),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-data-analysis-and-visualization"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!L338=\"\",\"\",ZOZNAM!L338),\"\")","v":"During this course, participants will actively learn how to apply the main statistical methods in data analysis and how to use data mining algorithms and visualizing techniques. The course has a strongly practical, hands-on focus: rather than focusing on the mathematics and background of the discussed techniques, participants will gain hands-on experience in using them on real data during the course and interpreting the results. The course covers both classical and modern topics in data analysis and visualization."},{"$f":"IF($A347<>\"\",IF(ZOZNAM!M338=\"\",\"\",ZOZNAM!M338),\"\")","v":""},{"$f":"IF($A347<>\"\",IF(ZOZNAM!N338=\"\",\"\",ZOZNAM!N338),\"\")","v":"áno"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!O338=\"\",\"\",ZOZNAM!O338),\"\")","v":"nie"},{"$f":"IF($A347<>\"\",IF(ZOZNAM!P338=\"\",\"\",ZOZNAM!P338),\"\")","v":2},{"$f":"IF($A347<>\"\",IF(ZOZNAM!Q338=\"\",\"\",ZOZNAM!Q338),\"\")","v":""},{"$f":"IF($A347<>\"\",IF(ZOZNAM!R338=\"\",\"\",ZOZNAM!R338),\"\")","v":""},{"$f":"IF($A347<>\"\",IF(ZOZNAM!S338=\"\",\"\",ZOZNAM!S338),\"\")","v":""},{"$f":"IF($A347<>\"\",IF(ZOZNAM!T338=\"\",\"\",ZOZNAM!T338),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C339)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C339)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C339)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C339)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C339)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C339)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L339)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L339)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L339)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L339)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L339)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L339)),FALSE))),ZOZNAM!G339>=$C$9),ZOZNAM!A339,\"\")","v":"UT313"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!B339=\"\",\"\",ZOZNAM!B339),\"\")","v":"Utrecht University"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!C339=\"\",\"\",ZOZNAM!C339),\"\")","v":"Applied Multivariate Analysis"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!D339=\"\",\"\",ZOZNAM!D339),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!E339=\"\",\"\",ZOZNAM!E339),\"\")","v":10},{"$f":"IF($A348<>\"\",IF(ZOZNAM!F339=\"\",\"\",ZOZNAM!F339),\"\")","v":12},{"$f":"IF($A348<>\"\",IF(ZOZNAM!G339=\"\",\"\",ZOZNAM!G339),\"\")","v":"2019-08-12"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!H339=\"\",\"\",ZOZNAM!H339),\"\")","v":"2019-08-23"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!I339=\"\",\"\",ZOZNAM!I339),\"\")","v":"900 EUR"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!J339=\"\",\"\",ZOZNAM!J339),\"\")","v":"2019-08-05"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!K339=\"\",\"\",ZOZNAM!K339),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/applied-multivariate-analysis"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!L339=\"\",\"\",ZOZNAM!L339),\"\")","v":"This summer school course offers hands-on experience using SPSS for the most frequently encountered multivariate statistical techniques in the social and behavioural sciences. The emphasis is on applying multivariate techniques using the computer programme SPSS, and on how to interpret the SPSS output in substantive terms. "},{"$f":"IF($A348<>\"\",IF(ZOZNAM!M339=\"\",\"\",ZOZNAM!M339),\"\")","v":""},{"$f":"IF($A348<>\"\",IF(ZOZNAM!N339=\"\",\"\",ZOZNAM!N339),\"\")","v":"áno"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!O339=\"\",\"\",ZOZNAM!O339),\"\")","v":"nie"},{"$f":"IF($A348<>\"\",IF(ZOZNAM!P339=\"\",\"\",ZOZNAM!P339),\"\")","v":2},{"$f":"IF($A348<>\"\",IF(ZOZNAM!Q339=\"\",\"\",ZOZNAM!Q339),\"\")","v":""},{"$f":"IF($A348<>\"\",IF(ZOZNAM!R339=\"\",\"\",ZOZNAM!R339),\"\")","v":""},{"$f":"IF($A348<>\"\",IF(ZOZNAM!S339=\"\",\"\",ZOZNAM!S339),\"\")","v":""},{"$f":"IF($A348<>\"\",IF(ZOZNAM!T339=\"\",\"\",ZOZNAM!T339),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C340)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C340)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C340)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C340)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C340)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C340)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L340)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L340)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L340)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L340)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L340)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L340)),FALSE))),ZOZNAM!G340>=$C$9),ZOZNAM!A340,\"\")","v":"UT312"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!B340=\"\",\"\",ZOZNAM!B340),\"\")","v":"Utrecht University"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!C340=\"\",\"\",ZOZNAM!C340),\"\")","v":"Survey Research: Design, Implementation and Data Processing"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!D340=\"\",\"\",ZOZNAM!D340),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!E340=\"\",\"\",ZOZNAM!E340),\"\")","v":5},{"$f":"IF($A349<>\"\",IF(ZOZNAM!F340=\"\",\"\",ZOZNAM!F340),\"\")","v":5},{"$f":"IF($A349<>\"\",IF(ZOZNAM!G340=\"\",\"\",ZOZNAM!G340),\"\")","v":"2019-08-19"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!H340=\"\",\"\",ZOZNAM!H340),\"\")","v":"2019-08-23"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!I340=\"\",\"\",ZOZNAM!I340),\"\")","v":"800 EUR"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!J340=\"\",\"\",ZOZNAM!J340),\"\")","v":"2019-08-05"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!K340=\"\",\"\",ZOZNAM!K340),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/survey-research-design-implementation-and-data-processing"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!L340=\"\",\"\",ZOZNAM!L340),\"\")","v":"This course covers the essentials of modern survey methodology and analysis. Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, and measurement error, including questionnaire and mode effects), while balancing logistics and survey costs. Best practice guidelines for phases of the survey from design to implementation, analysis and reporting will be discussed."},{"$f":"IF($A349<>\"\",IF(ZOZNAM!M340=\"\",\"\",ZOZNAM!M340),\"\")","v":""},{"$f":"IF($A349<>\"\",IF(ZOZNAM!N340=\"\",\"\",ZOZNAM!N340),\"\")","v":"áno"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!O340=\"\",\"\",ZOZNAM!O340),\"\")","v":"nie"},{"$f":"IF($A349<>\"\",IF(ZOZNAM!P340=\"\",\"\",ZOZNAM!P340),\"\")","v":2},{"$f":"IF($A349<>\"\",IF(ZOZNAM!Q340=\"\",\"\",ZOZNAM!Q340),\"\")","v":""},{"$f":"IF($A349<>\"\",IF(ZOZNAM!R340=\"\",\"\",ZOZNAM!R340),\"\")","v":""},{"$f":"IF($A349<>\"\",IF(ZOZNAM!S340=\"\",\"\",ZOZNAM!S340),\"\")","v":""},{"$f":"IF($A349<>\"\",IF(ZOZNAM!T340=\"\",\"\",ZOZNAM!T340),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C341)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C341)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C341)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C341)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C341)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C341)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L341)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L341)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L341)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L341)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L341)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L341)),FALSE))),ZOZNAM!G341>=$C$9),ZOZNAM!A341,\"\")","v":"UT314"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!B341=\"\",\"\",ZOZNAM!B341),\"\")","v":"Utrecht University"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!C341=\"\",\"\",ZOZNAM!C341),\"\")","v":"Introduction to Econometrics using Stata"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!D341=\"\",\"\",ZOZNAM!D341),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!E341=\"\",\"\",ZOZNAM!E341),\"\")","v":9},{"$f":"IF($A350<>\"\",IF(ZOZNAM!F341=\"\",\"\",ZOZNAM!F341),\"\")","v":12},{"$f":"IF($A350<>\"\",IF(ZOZNAM!G341=\"\",\"\",ZOZNAM!G341),\"\")","v":"2019-08-19"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!H341=\"\",\"\",ZOZNAM!H341),\"\")","v":"2019-08-30"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!I341=\"\",\"\",ZOZNAM!I341),\"\")","v":"1 150 EUR"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!J341=\"\",\"\",ZOZNAM!J341),\"\")","v":"2019-08-15"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!K341=\"\",\"\",ZOZNAM!K341),\"\")","v":"https://www.utrechtsummerschool.nl/courses/law-economics/introduction-to-econometrics-using-stata"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!L341=\"\",\"\",ZOZNAM!L341),\"\")","v":"During the course students will get an introduction to the statistical software package Stata that will be used to solve computer exercises. \n\nThe aim of this intensive course is to provide an introduction to the linear regression model that is used in Econometrics. The course will refresh the principles of statistics, such as basic probability, statistical estimators, and statistical hypothesis testing. Next, it considers the multivariate linear regression model on many topics such as the Ordinary Least Squares estimator, the interpretation of the regression parameters, the standard error of the OLS-estimator, unbiased estimators, t-test and F-test, perfect multicollinearity, consequences of omitted variables, consequences of irrelevant variables , interaction effects, dummy variables, heteroskedasticity, time-series regression models, exogeneity and autocorrelation. "},{"$f":"IF($A350<>\"\",IF(ZOZNAM!M341=\"\",\"\",ZOZNAM!M341),\"\")","v":""},{"$f":"IF($A350<>\"\",IF(ZOZNAM!N341=\"\",\"\",ZOZNAM!N341),\"\")","v":"áno"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!O341=\"\",\"\",ZOZNAM!O341),\"\")","v":"nie"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!P341=\"\",\"\",ZOZNAM!P341),\"\")","v":2},{"$f":"IF($A350<>\"\",IF(ZOZNAM!Q341=\"\",\"\",ZOZNAM!Q341),\"\")","v":3},{"$f":"IF($A350<>\"\",IF(ZOZNAM!R341=\"\",\"\",ZOZNAM!R341),\"\")","v":1},{"$f":"IF($A350<>\"\",IF(ZOZNAM!S341=\"\",\"\",ZOZNAM!S341),\"\")","v":"Začiatočníkom"},{"$f":"IF($A350<>\"\",IF(ZOZNAM!T341=\"\",\"\",ZOZNAM!T341),\"\")","v":"Vhodné pre účastníkov bez predošlej rozsiahlejšej skúsenosti s ekonometriou/Statou. Prevažovala teória.Kurz bol zameraný viac na praktické zručnosti. "}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C345)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C345)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C345)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C345)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C345)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C345)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L345)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L345)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L345)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L345)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L345)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L345)),FALSE))),ZOZNAM!G345>=$C$9),ZOZNAM!A345,\"\")","v":"VU318"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!B345=\"\",\"\",ZOZNAM!B345),\"\")","v":"VU University Amsterdam"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!C345=\"\",\"\",ZOZNAM!C345),\"\")","v":"Big Data Management and Analysis in Linux"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!D345=\"\",\"\",ZOZNAM!D345),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!E345=\"\",\"\",ZOZNAM!E345),\"\")","v":10},{"$f":"IF($A354<>\"\",IF(ZOZNAM!F345=\"\",\"\",ZOZNAM!F345),\"\")","v":15},{"$f":"IF($A354<>\"\",IF(ZOZNAM!G345=\"\",\"\",ZOZNAM!G345),\"\")","v":"2019-08-03"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!H345=\"\",\"\",ZOZNAM!H345),\"\")","v":"2019-08-17"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!I345=\"\",\"\",ZOZNAM!I345),\"\")","v":"1 150 EUR"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!J345=\"\",\"\",ZOZNAM!J345),\"\")","v":"2019-05-01"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!K345=\"\",\"\",ZOZNAM!K345),\"\")","v":"http://bachelors.vu.amsterdam/en/summer-school/courses/bigdatamanagementandanalyisisinlinux/index.aspx"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!L345=\"\",\"\",ZOZNAM!L345),\"\")","v":"This course will introduce programming in a Linux environment and teach how to efficiently manage very large datasets (e.g. using sed, awk, and grep commands) and create simple shell scripts to analyze your data (e.g. using a Linux version of the freely available statistics program R). Participants will also learn how to visualize their data and results in customized plots and figures. "},{"$f":"IF($A354<>\"\",IF(ZOZNAM!M345=\"\",\"\",ZOZNAM!M345),\"\")","v":""},{"$f":"IF($A354<>\"\",IF(ZOZNAM!N345=\"\",\"\",ZOZNAM!N345),\"\")","v":"nie"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!O345=\"\",\"\",ZOZNAM!O345),\"\")","v":"áno"},{"$f":"IF($A354<>\"\",IF(ZOZNAM!P345=\"\",\"\",ZOZNAM!P345),\"\")","v":""},{"$f":"IF($A354<>\"\",IF(ZOZNAM!Q345=\"\",\"\",ZOZNAM!Q345),\"\")","v":""},{"$f":"IF($A354<>\"\",IF(ZOZNAM!R345=\"\",\"\",ZOZNAM!R345),\"\")","v":""},{"$f":"IF($A354<>\"\",IF(ZOZNAM!S345=\"\",\"\",ZOZNAM!S345),\"\")","v":""},{"$f":"IF($A354<>\"\",IF(ZOZNAM!T345=\"\",\"\",ZOZNAM!T345),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C346)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C346)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C346)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C346)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C346)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C346)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L346)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L346)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L346)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L346)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L346)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L346)),FALSE))),ZOZNAM!G346>=$C$9),ZOZNAM!A346,\"\")","v":"WB001"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!B346=\"\",\"\",ZOZNAM!B346),\"\")","v":"World Bank"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!C346=\"\",\"\",ZOZNAM!C346),\"\")","v":"The 16th Overview Course of Financial Sector Issues: Financial Systems in the Era of Data and Technology"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!D346=\"\",\"\",ZOZNAM!D346),\"\")","v":"Washington, USA"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!E346=\"\",\"\",ZOZNAM!E346),\"\")","v":5},{"$f":"IF($A355<>\"\",IF(ZOZNAM!F346=\"\",\"\",ZOZNAM!F346),\"\")","v":5},{"$f":"IF($A355<>\"\",IF(ZOZNAM!G346=\"\",\"\",ZOZNAM!G346),\"\")","v":"2019-06-24"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!H346=\"\",\"\",ZOZNAM!H346),\"\")","v":"2019-06-28"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!I346=\"\",\"\",ZOZNAM!I346),\"\")","v":"1 500 USD"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!J346=\"\",\"\",ZOZNAM!J346),\"\")","v":""},{"$f":"IF($A355<>\"\",IF(ZOZNAM!K346=\"\",\"\",ZOZNAM!K346),\"\")","v":"http://www.worldbank.org/en/events/2019/06/24/overview-course-of-financial-sector-issues-financial-systems-in-the-era-of-data-and-technology"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!L346=\"\",\"\",ZOZNAM!L346),\"\")","v":"Throughout the training, participants will hear the views of leading financial experts on the more traditional role of the financial sector as well as how big data and new financial technologies are reshaping finance all over the world. Participants will have the opportunity to ask questions, interact and engage in discussions with renowned scholars, policy experts and prominent industry figures, who will identify the critical questions related to each topic. "},{"$f":"IF($A355<>\"\",IF(ZOZNAM!M346=\"\",\"\",ZOZNAM!M346),\"\")","v":"Early bird registration before March 31, 2018 will receive a US$ 200 discount."},{"$f":"IF($A355<>\"\",IF(ZOZNAM!N346=\"\",\"\",ZOZNAM!N346),\"\")","v":"nie"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!O346=\"\",\"\",ZOZNAM!O346),\"\")","v":"nie"},{"$f":"IF($A355<>\"\",IF(ZOZNAM!P346=\"\",\"\",ZOZNAM!P346),\"\")","v":""},{"$f":"IF($A355<>\"\",IF(ZOZNAM!Q346=\"\",\"\",ZOZNAM!Q346),\"\")","v":""},{"$f":"IF($A355<>\"\",IF(ZOZNAM!R346=\"\",\"\",ZOZNAM!R346),\"\")","v":""},{"$f":"IF($A355<>\"\",IF(ZOZNAM!S346=\"\",\"\",ZOZNAM!S346),\"\")","v":""},{"$f":"IF($A355<>\"\",IF(ZOZNAM!T346=\"\",\"\",ZOZNAM!T346),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C347)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C347)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C347)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C347)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C347)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C347)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L347)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L347)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L347)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L347)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L347)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L347)),FALSE))),ZOZNAM!G347>=$C$9),ZOZNAM!A347,\"\")","v":"AC206"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!B347=\"\",\"\",ZOZNAM!B347),\"\")","v":"ACREA CR"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!C347=\"\",\"\",ZOZNAM!C347),\"\")","v":"Základy statistiky pro analýzu dat"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!D347=\"\",\"\",ZOZNAM!D347),\"\")","v":"Praha, Česko"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!E347=\"\",\"\",ZOZNAM!E347),\"\")","v":3},{"$f":"IF($A356<>\"\",IF(ZOZNAM!F347=\"\",\"\",ZOZNAM!F347),\"\")","v":3},{"$f":"IF($A356<>\"\",IF(ZOZNAM!G347=\"\",\"\",ZOZNAM!G347),\"\")","v":"2019-10-14"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!H347=\"\",\"\",ZOZNAM!H347),\"\")","v":"2019-10-16"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!I347=\"\",\"\",ZOZNAM!I347),\"\")","v":"480 EUR"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!J347=\"\",\"\",ZOZNAM!J347),\"\")","v":""},{"$f":"IF($A356<>\"\",IF(ZOZNAM!K347=\"\",\"\",ZOZNAM!K347),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!L347=\"\",\"\",ZOZNAM!L347),\"\")","v":"The aim of the course is to introduce the participants to the basics of statistical work and data analysis, to acquaint them with the concepts, methods and means for:\n• file description\n• comparing groups\n• association and correlation analysis.\nTopics are evenly distributed between analysis of numerical data and frequency (percent). Students will also learn how to work with professional statistical software IBM SPSS Statistics."},{"$f":"IF($A356<>\"\",IF(ZOZNAM!M347=\"\",\"\",ZOZNAM!M347),\"\")","v":""},{"$f":"IF($A356<>\"\",IF(ZOZNAM!N347=\"\",\"\",ZOZNAM!N347),\"\")","v":"nie"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!O347=\"\",\"\",ZOZNAM!O347),\"\")","v":"nie"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!P347=\"\",\"\",ZOZNAM!P347),\"\")","v":1.9},{"$f":"IF($A356<>\"\",IF(ZOZNAM!Q347=\"\",\"\",ZOZNAM!Q347),\"\")","v":2},{"$f":"IF($A356<>\"\",IF(ZOZNAM!R347=\"\",\"\",ZOZNAM!R347),\"\")","v":1},{"$f":"IF($A356<>\"\",IF(ZOZNAM!S347=\"\",\"\",ZOZNAM!S347),\"\")","v":"Začiatočníkom"},{"$f":"IF($A356<>\"\",IF(ZOZNAM!T347=\"\",\"\",ZOZNAM!T347),\"\")","v":"Kurz bol vyvážený z hľadiska teórie a praxe , poskytol rozšírenie vedomostí aj mimo pracovnej náplne. Pedagógovia boli dobrí aj ako odborníci aj ako učitelia."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C348)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C348)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C348)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C348)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C348)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C348)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L348)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L348)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L348)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L348)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L348)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L348)),FALSE))),ZOZNAM!G348>=$C$9),ZOZNAM!A348,\"\")","v":"AC207"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!B348=\"\",\"\",ZOZNAM!B348),\"\")","v":"ACREA CR"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!C348=\"\",\"\",ZOZNAM!C348),\"\")","v":"Regresní analýza I"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!D348=\"\",\"\",ZOZNAM!D348),\"\")","v":"Praha, Česko"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!E348=\"\",\"\",ZOZNAM!E348),\"\")","v":1},{"$f":"IF($A357<>\"\",IF(ZOZNAM!F348=\"\",\"\",ZOZNAM!F348),\"\")","v":1},{"$f":"IF($A357<>\"\",IF(ZOZNAM!G348=\"\",\"\",ZOZNAM!G348),\"\")","v":"2019-11-19"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!H348=\"\",\"\",ZOZNAM!H348),\"\")","v":"2019-11-19"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!I348=\"\",\"\",ZOZNAM!I348),\"\")","v":"200 EUR"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!J348=\"\",\"\",ZOZNAM!J348),\"\")","v":""},{"$f":"IF($A357<>\"\",IF(ZOZNAM!K348=\"\",\"\",ZOZNAM!K348),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!L348=\"\",\"\",ZOZNAM!L348),\"\")","v":"This course includes models of one-dimensional and multi-dimensional linear regression analysis for numeric variables. Emphasis is on the importance and construction of the basic model, tests of hypotheses on its parameters and on the selection of suitable predictors using automatic procedures. Course also includes:\n-\ta simple equation model with one independent variable\n-\tpoint two-dimensional graph; correlation and linear regression equation (line)\n-\tproperties of simple linear regression, principle of least squares method\n-\thypothesis tests and straight line parameter estimation, determination coefficient\n-\tresidues and simple residual analysis\n-\tmodels of nonlinear relations - curves convertible to linearity\n-\texplanation and prediction by regression equation\n-\tmultiple linear regression model - extension to multiple independent variables\n-\tthe meaning of the equation results and parameters\n-\ttesting parameters and testing the significance of the relationship\n-\tsequential procedures for determining predictors\n\n"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!M348=\"\",\"\",ZOZNAM!M348),\"\")","v":""},{"$f":"IF($A357<>\"\",IF(ZOZNAM!N348=\"\",\"\",ZOZNAM!N348),\"\")","v":"nie"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!O348=\"\",\"\",ZOZNAM!O348),\"\")","v":"nie"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!P348=\"\",\"\",ZOZNAM!P348),\"\")","v":1.9},{"$f":"IF($A357<>\"\",IF(ZOZNAM!Q348=\"\",\"\",ZOZNAM!Q348),\"\")","v":2},{"$f":"IF($A357<>\"\",IF(ZOZNAM!R348=\"\",\"\",ZOZNAM!R348),\"\")","v":2},{"$f":"IF($A357<>\"\",IF(ZOZNAM!S348=\"\",\"\",ZOZNAM!S348),\"\")","v":"Pokročilým"},{"$f":"IF($A357<>\"\",IF(ZOZNAM!T348=\"\",\"\",ZOZNAM!T348),\"\")","v":"Pre absolvovanie kurzu je nutná znalosť korelačnej analýzy príp. absolvovanie kurzu Korelační analýza. Kurz splnil očakávania a rozšíril znalosti aj mimo pracovej náplne hodnotiteľov. "}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C350)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C350)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C350)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C350)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C350)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C350)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L350)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L350)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L350)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L350)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L350)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L350)),FALSE))),ZOZNAM!G350>=$C$9),ZOZNAM!A350,\"\")","v":"AC209"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!B350=\"\",\"\",ZOZNAM!B350),\"\")","v":"ACREA CR"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!C350=\"\",\"\",ZOZNAM!C350),\"\")","v":"Korelační analýza"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!D350=\"\",\"\",ZOZNAM!D350),\"\")","v":"Praha, Česko"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!E350=\"\",\"\",ZOZNAM!E350),\"\")","v":1},{"$f":"IF($A359<>\"\",IF(ZOZNAM!F350=\"\",\"\",ZOZNAM!F350),\"\")","v":1},{"$f":"IF($A359<>\"\",IF(ZOZNAM!G350=\"\",\"\",ZOZNAM!G350),\"\")","v":"2019-11-18"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!H350=\"\",\"\",ZOZNAM!H350),\"\")","v":"2019-11-18"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!I350=\"\",\"\",ZOZNAM!I350),\"\")","v":"200 EUR"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!J350=\"\",\"\",ZOZNAM!J350),\"\")","v":""},{"$f":"IF($A359<>\"\",IF(ZOZNAM!K350=\"\",\"\",ZOZNAM!K350),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!L350=\"\",\"\",ZOZNAM!L350),\"\")","v":"The aim of this course is to acquaint students with correlation measures for numerical data and their application in various practical situations. Topic  is illustrated and practiced on real data from analytical practice. Students will acquire sufficient knowledge for independent correct use of correlations in their own analyzes."},{"$f":"IF($A359<>\"\",IF(ZOZNAM!M350=\"\",\"\",ZOZNAM!M350),\"\")","v":""},{"$f":"IF($A359<>\"\",IF(ZOZNAM!N350=\"\",\"\",ZOZNAM!N350),\"\")","v":"nie"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!O350=\"\",\"\",ZOZNAM!O350),\"\")","v":"nie"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!P350=\"\",\"\",ZOZNAM!P350),\"\")","v":1.9},{"$f":"IF($A359<>\"\",IF(ZOZNAM!Q350=\"\",\"\",ZOZNAM!Q350),\"\")","v":1.5},{"$f":"IF($A359<>\"\",IF(ZOZNAM!R350=\"\",\"\",ZOZNAM!R350),\"\")","v":2},{"$f":"IF($A359<>\"\",IF(ZOZNAM!S350=\"\",\"\",ZOZNAM!S350),\"\")","v":"Začiatočníkom"},{"$f":"IF($A359<>\"\",IF(ZOZNAM!T350=\"\",\"\",ZOZNAM!T350),\"\")","v":"Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C359)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C359)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C359)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C359)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C359)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C359)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L359)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L359)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L359)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L359)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L359)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L359)),FALSE))),ZOZNAM!G359>=$C$9),ZOZNAM!A359,\"\")","v":"EU190"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!B359=\"\",\"\",ZOZNAM!B359),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!C359=\"\",\"\",ZOZNAM!C359),\"\")","v":"Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027 (3-day Course)"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!D359=\"\",\"\",ZOZNAM!D359),\"\")","v":"Praha, Česko"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!E359=\"\",\"\",ZOZNAM!E359),\"\")","v":3},{"$f":"IF($A368<>\"\",IF(ZOZNAM!F359=\"\",\"\",ZOZNAM!F359),\"\")","v":3},{"$f":"IF($A368<>\"\",IF(ZOZNAM!G359=\"\",\"\",ZOZNAM!G359),\"\")","v":"2019-10-16"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!H359=\"\",\"\",ZOZNAM!H359),\"\")","v":"2019-10-18"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!I359=\"\",\"\",ZOZNAM!I359),\"\")","v":"1 550 EUR"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!J359=\"\",\"\",ZOZNAM!J359),\"\")","v":""},{"$f":"IF($A368<>\"\",IF(ZOZNAM!K359=\"\",\"\",ZOZNAM!K359),\"\")","v":"https://www.eipa.eu/product/eu-structural-cohesion-funds-3-days/"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!L359=\"\",\"\",ZOZNAM!L359),\"\")","v":"At the end of the seminar, participants should have a clear understanding of all the urgent evaluation and monitoring requirements associated with current programmes. Participants should also have a quick general tool kit for undertaking impact evaluations for projects and programmes. Mini-workshops and exercises are used both to develop simulations of essential elements of evaluation and monitoring to provide a clear view of good practice in the key disciplines involved. Member States are now conducting evaluations of their EU Structural and Cohesion Funds programmes. Are the programmes and Funds delivering Value for Money? What is monitoring data telling us and can we expect programmes to achieve their many objectives? How do we measure and understand the impacts? Which evaluation method should be used – theory-based or counter-factual? This 2-stage seminar examines these questions and others relating to the evaluation and monitoring of the Structural and Cohesion Funds in 2014-2020 and looks forward to changes for 2021-2027: Stage 1 (Day 1) deals with monitoring tasks, indicators and the Performance Framework. We will look at whether milestones were reached by the end of 2018? The Czech Ministry of Regional Development will provide insight into progress in their programmes. We will review other monitoring requirements and see how these are to change in 2021-2027. Stage 2 (Days 2 & 3) examines how to conduct “evaluations during the programming period”. Senior evaluation consultant-economists with vast programme experience will focus on the two recommended evaluation methods – theory-based and counterfactual evaluations – and the challenges for programme evaluations on the ground. We will also describe how to complete an ex post cost-benefit analysis (ex post CBA) for infrastructure and other large projects. You will also learn how to manage evaluation studies, including aspects of fieldwork, and be aware of the typical live issues for your current / planned evaluations\n"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!M359=\"\",\"\",ZOZNAM!M359),\"\")","v":""},{"$f":"IF($A368<>\"\",IF(ZOZNAM!N359=\"\",\"\",ZOZNAM!N359),\"\")","v":"nie"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!O359=\"\",\"\",ZOZNAM!O359),\"\")","v":"nie"},{"$f":"IF($A368<>\"\",IF(ZOZNAM!P359=\"\",\"\",ZOZNAM!P359),\"\")","v":2},{"$f":"IF($A368<>\"\",IF(ZOZNAM!Q359=\"\",\"\",ZOZNAM!Q359),\"\")","v":""},{"$f":"IF($A368<>\"\",IF(ZOZNAM!R359=\"\",\"\",ZOZNAM!R359),\"\")","v":""},{"$f":"IF($A368<>\"\",IF(ZOZNAM!S359=\"\",\"\",ZOZNAM!S359),\"\")","v":""},{"$f":"IF($A368<>\"\",IF(ZOZNAM!T359=\"\",\"\",ZOZNAM!T359),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C360)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C360)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C360)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C360)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C360)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C360)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L360)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L360)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L360)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L360)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L360)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L360)),FALSE))),ZOZNAM!G360>=$C$9),ZOZNAM!A360,\"\")","v":"EU191"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!B360=\"\",\"\",ZOZNAM!B360),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!C360=\"\",\"\",ZOZNAM!C360),\"\")","v":"Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027 (2-day Course)"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!D360=\"\",\"\",ZOZNAM!D360),\"\")","v":"Praha, Česko"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!E360=\"\",\"\",ZOZNAM!E360),\"\")","v":2},{"$f":"IF($A369<>\"\",IF(ZOZNAM!F360=\"\",\"\",ZOZNAM!F360),\"\")","v":2},{"$f":"IF($A369<>\"\",IF(ZOZNAM!G360=\"\",\"\",ZOZNAM!G360),\"\")","v":"2019-10-17"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!H360=\"\",\"\",ZOZNAM!H360),\"\")","v":"2019-10-18"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!I360=\"\",\"\",ZOZNAM!I360),\"\")","v":"1 100 EUR"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!J360=\"\",\"\",ZOZNAM!J360),\"\")","v":""},{"$f":"IF($A369<>\"\",IF(ZOZNAM!K360=\"\",\"\",ZOZNAM!K360),\"\")","v":"https://www.eipa.eu/product/eu-structural-cohesion-funds-2-days/"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!L360=\"\",\"\",ZOZNAM!L360),\"\")","v":"Member States are now conducting evaluations of their EU Structural and Cohesion Funds programmes. Are the programmes and Funds delivering Value for Money? What is monitoring data telling us and can we expect programmes to achieve their many objectives? How do we measure and understand the impacts? Which evaluation method should be used – theory-based or counter-factual? This seminar examines these questions and others relating to the evaluation and monitoring of the Structural and Cohesion Funds in 2014-2020 and looks forward to changes for 2021-2027: How to conduct evaluations during the programming period”. Senior evaluation consultant-economists with vast programme experience will focus on the two recommended evaluation methods – theory-based and counterfactual evaluations – and the challenges for programme evaluations on the ground. We will also describe how to complete an ex post cost-benefit analysis (ex post CBA) for infrastructure and other large projects. You will also learn how to manage evaluation studies, including aspects of fieldwork, and be aware of the typical live issues for your current / planned evaluations. We review the evaluation and monitoring requirements for 2014-2020 and describe how these will change for 2021-2027"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!M360=\"\",\"\",ZOZNAM!M360),\"\")","v":"Please note that this 2-day seminar is also part of a (two stage) 3-day seminar. Day 1 (stage 1) of the 3-day seminar examines in detail: Structural Funds monitoring requirements, generating good indicators and using the Performance Framework. For participants of the 2-day seminar only, we assume you are already familiar with this material."},{"$f":"IF($A369<>\"\",IF(ZOZNAM!N360=\"\",\"\",ZOZNAM!N360),\"\")","v":"nie"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!O360=\"\",\"\",ZOZNAM!O360),\"\")","v":"nie"},{"$f":"IF($A369<>\"\",IF(ZOZNAM!P360=\"\",\"\",ZOZNAM!P360),\"\")","v":2},{"$f":"IF($A369<>\"\",IF(ZOZNAM!Q360=\"\",\"\",ZOZNAM!Q360),\"\")","v":""},{"$f":"IF($A369<>\"\",IF(ZOZNAM!R360=\"\",\"\",ZOZNAM!R360),\"\")","v":""},{"$f":"IF($A369<>\"\",IF(ZOZNAM!S360=\"\",\"\",ZOZNAM!S360),\"\")","v":""},{"$f":"IF($A369<>\"\",IF(ZOZNAM!T360=\"\",\"\",ZOZNAM!T360),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C361)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C361)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C361)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C361)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C361)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C361)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L361)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L361)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L361)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L361)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L361)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L361)),FALSE))),ZOZNAM!G361>=$C$9),ZOZNAM!A361,\"\")","v":"EU192"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!B361=\"\",\"\",ZOZNAM!B361),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!C361=\"\",\"\",ZOZNAM!C361),\"\")","v":"Performance Auditing of EU Co-Funded Investments carried out by the European Court of Auditors"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!D361=\"\",\"\",ZOZNAM!D361),\"\")","v":"Lisabon, Portugalsko"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!E361=\"\",\"\",ZOZNAM!E361),\"\")","v":3},{"$f":"IF($A370<>\"\",IF(ZOZNAM!F361=\"\",\"\",ZOZNAM!F361),\"\")","v":3},{"$f":"IF($A370<>\"\",IF(ZOZNAM!G361=\"\",\"\",ZOZNAM!G361),\"\")","v":"2019-11-13"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!H361=\"\",\"\",ZOZNAM!H361),\"\")","v":"2019-11-15"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!I361=\"\",\"\",ZOZNAM!I361),\"\")","v":"1 350 EUR"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!J361=\"\",\"\",ZOZNAM!J361),\"\")","v":""},{"$f":"IF($A370<>\"\",IF(ZOZNAM!K361=\"\",\"\",ZOZNAM!K361),\"\")","v":"https://www.eipa.eu/product/performance-auditing-eu-co-funded-investsments/"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!L361=\"\",\"\",ZOZNAM!L361),\"\")","v":"This course is about the ambition of the EU to be more results oriented in a framework where performance and results were the key words. Performance will be even more important in the next programming period 2021-2027, which we already started to prepare. This highly practical course presents all aspects of each stage of the performance audit process. It includes the unique feature of providing an insight into how the European Court of Auditors plan, prepare and implement their audit assignments, covering real-life audit case studies and experiences of the Court’s teams. It also explains the rules proposed for performance measurement for the 2021-2027 period, has some unique features and insights with regard to the analysis of costs and benefits, explains in detail the methodologies and tools used, as well as demonstrates the strength of Key performance Indicators, and, how to use them. The new aspect is that, while applying for this course, you will be given the opportunity to choose the preferred case study to work upon in a range of different audits proposed by the Court’s team."},{"$f":"IF($A370<>\"\",IF(ZOZNAM!M361=\"\",\"\",ZOZNAM!M361),\"\")","v":""},{"$f":"IF($A370<>\"\",IF(ZOZNAM!N361=\"\",\"\",ZOZNAM!N361),\"\")","v":"nie"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!O361=\"\",\"\",ZOZNAM!O361),\"\")","v":"nie"},{"$f":"IF($A370<>\"\",IF(ZOZNAM!P361=\"\",\"\",ZOZNAM!P361),\"\")","v":2},{"$f":"IF($A370<>\"\",IF(ZOZNAM!Q361=\"\",\"\",ZOZNAM!Q361),\"\")","v":""},{"$f":"IF($A370<>\"\",IF(ZOZNAM!R361=\"\",\"\",ZOZNAM!R361),\"\")","v":""},{"$f":"IF($A370<>\"\",IF(ZOZNAM!S361=\"\",\"\",ZOZNAM!S361),\"\")","v":""},{"$f":"IF($A370<>\"\",IF(ZOZNAM!T361=\"\",\"\",ZOZNAM!T361),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C362)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C362)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C362)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C362)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C362)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C362)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L362)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L362)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L362)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L362)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L362)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L362)),FALSE))),ZOZNAM!G362>=$C$9),ZOZNAM!A362,\"\")","v":"IC001"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!B362=\"\",\"\",ZOZNAM!B362),\"\")","v":"International Training Centre"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!C362=\"\",\"\",ZOZNAM!C362),\"\")","v":"Academy on Social Security "},{"$f":"IF($A371<>\"\",IF(ZOZNAM!D362=\"\",\"\",ZOZNAM!D362),\"\")","v":"Turín, Taliansko"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!E362=\"\",\"\",ZOZNAM!E362),\"\")","v":10},{"$f":"IF($A371<>\"\",IF(ZOZNAM!F362=\"\",\"\",ZOZNAM!F362),\"\")","v":12},{"$f":"IF($A371<>\"\",IF(ZOZNAM!G362=\"\",\"\",ZOZNAM!G362),\"\")","v":"2019-09-16"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!H362=\"\",\"\",ZOZNAM!H362),\"\")","v":"2019-09-27"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!I362=\"\",\"\",ZOZNAM!I362),\"\")","v":"3 735 EUR"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!J362=\"\",\"\",ZOZNAM!J362),\"\")","v":"2019-08-16"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!K362=\"\",\"\",ZOZNAM!K362),\"\")","v":"https://www.itcilo.org/en/areas-of-expertise/social-protection/academy-on-social-security"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!L362=\"\",\"\",ZOZNAM!L362),\"\")","v":"The Academy on Social Security offers a unique opportunity to benefit from a diversified training package on the governance, financing, reform and extension of social protection systems. Participants will tailor-make their own two-week course by choosing from several elective courses, and will benefit from an innovative and dynamic learning environment."},{"$f":"IF($A371<>\"\",IF(ZOZNAM!M362=\"\",\"\",ZOZNAM!M362),\"\")","v":"By taking this course you are taking a step towards earning the Diploma for Social Protection Analysts. The Diploma is composed of four social protection courses. Participants need to complete three courses out of the four qualified courses within a 5-year period in order to earn the “Social Protection Analysts” recognition. The Diploma represents 380 learning hours. For each eligible course, the assessment process establishes whether participants have a full grasp of the skills and concepts included, resulting in a course-specific Certificate of Achievement issued by ITCILO Turin. To earn the “Social Protection Analyst” certification participants need to complete three courses and then undertake a capstone assessment demonstrating the consolidated learning of the courses combined. The capstone assessment consists of a written assignment which uses analytical approaches from the three completed courses to develop policy recommendations for a specific country context."},{"$f":"IF($A371<>\"\",IF(ZOZNAM!N362=\"\",\"\",ZOZNAM!N362),\"\")","v":"áno "},{"$f":"IF($A371<>\"\",IF(ZOZNAM!O362=\"\",\"\",ZOZNAM!O362),\"\")","v":"áno "},{"$f":"IF($A371<>\"\",IF(ZOZNAM!P362=\"\",\"\",ZOZNAM!P362),\"\")","v":""},{"$f":"IF($A371<>\"\",IF(ZOZNAM!Q362=\"\",\"\",ZOZNAM!Q362),\"\")","v":2},{"$f":"IF($A371<>\"\",IF(ZOZNAM!R362=\"\",\"\",ZOZNAM!R362),\"\")","v":1},{"$f":"IF($A371<>\"\",IF(ZOZNAM!S362=\"\",\"\",ZOZNAM!S362),\"\")","v":"Pokročilým"},{"$f":"IF($A371<>\"\",IF(ZOZNAM!T362=\"\",\"\",ZOZNAM!T362),\"\")","v":"Kurz je určený analytikom, ktorí si chcú rozšíriť odborné vedomosti  o systémoch sociálneho zabezpečenia. Predovšetkým bol zameraný na policy issues, menej na analytické metódy."}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C370)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C370)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C370)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C370)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C370)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C370)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L370)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L370)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L370)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L370)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L370)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L370)),FALSE))),ZOZNAM!G370>=$C$9),ZOZNAM!A370,\"\")","v":"TI272"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!B370=\"\",\"\",ZOZNAM!B370),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!C370=\"\",\"\",ZOZNAM!C370),\"\")","v":"Econometrics of program evaluation using stata"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!D370=\"\",\"\",ZOZNAM!D370),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!E370=\"\",\"\",ZOZNAM!E370),\"\")","v":3},{"$f":"IF($A379<>\"\",IF(ZOZNAM!F370=\"\",\"\",ZOZNAM!F370),\"\")","v":3},{"$f":"IF($A379<>\"\",IF(ZOZNAM!G370=\"\",\"\",ZOZNAM!G370),\"\")","v":"2019-09-30"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!H370=\"\",\"\",ZOZNAM!H370),\"\")","v":"2019-10-02"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!I370=\"\",\"\",ZOZNAM!I370),\"\")","v":"1 620 GBP"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!J370=\"\",\"\",ZOZNAM!J370),\"\")","v":"2019-09-24"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!K370=\"\",\"\",ZOZNAM!K370),\"\")","v":"https://www.timberlake.co.uk/courses/econometrics-of-program-evaluation-uk-19.html#terms"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!L370=\"\",\"\",ZOZNAM!L370),\"\")","v":"This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, Selection models, Instrumental-variables approaches, Difference-in-differences, and Regression discontinuity design. After attending the course, the participant will be able to setting up and managing a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labor market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc., although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets."},{"$f":"IF($A379<>\"\",IF(ZOZNAM!M370=\"\",\"\",ZOZNAM!M370),\"\")","v":""},{"$f":"IF($A379<>\"\",IF(ZOZNAM!N370=\"\",\"\",ZOZNAM!N370),\"\")","v":"nie"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!O370=\"\",\"\",ZOZNAM!O370),\"\")","v":"nie"},{"$f":"IF($A379<>\"\",IF(ZOZNAM!P370=\"\",\"\",ZOZNAM!P370),\"\")","v":2},{"$f":"IF($A379<>\"\",IF(ZOZNAM!Q370=\"\",\"\",ZOZNAM!Q370),\"\")","v":""},{"$f":"IF($A379<>\"\",IF(ZOZNAM!R370=\"\",\"\",ZOZNAM!R370),\"\")","v":""},{"$f":"IF($A379<>\"\",IF(ZOZNAM!S370=\"\",\"\",ZOZNAM!S370),\"\")","v":""},{"$f":"IF($A379<>\"\",IF(ZOZNAM!T370=\"\",\"\",ZOZNAM!T370),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C372)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C372)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C372)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C372)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C372)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C372)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L372)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L372)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L372)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L372)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L372)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L372)),FALSE))),ZOZNAM!G372>=$C$9),ZOZNAM!A372,\"\")","v":"TI274"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!B372=\"\",\"\",ZOZNAM!B372),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!C372=\"\",\"\",ZOZNAM!C372),\"\")","v":"Macroeconomic Density Forecasting & Nowcasting "},{"$f":"IF($A381<>\"\",IF(ZOZNAM!D372=\"\",\"\",ZOZNAM!D372),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!E372=\"\",\"\",ZOZNAM!E372),\"\")","v":3},{"$f":"IF($A381<>\"\",IF(ZOZNAM!F372=\"\",\"\",ZOZNAM!F372),\"\")","v":3},{"$f":"IF($A381<>\"\",IF(ZOZNAM!G372=\"\",\"\",ZOZNAM!G372),\"\")","v":"2019-10-28"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!H372=\"\",\"\",ZOZNAM!H372),\"\")","v":"2019-10-30"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!I372=\"\",\"\",ZOZNAM!I372),\"\")","v":"1 450 GBP"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!J372=\"\",\"\",ZOZNAM!J372),\"\")","v":"2019-10-22"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!K372=\"\",\"\",ZOZNAM!K372),\"\")","v":"https://www.timberlake.co.uk/courses/macroeconomic-density-forecasting-nowcasting-9234.html"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!L372=\"\",\"\",ZOZNAM!L372),\"\")","v":"Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques. The focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews 10. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential. "},{"$f":"IF($A381<>\"\",IF(ZOZNAM!M372=\"\",\"\",ZOZNAM!M372),\"\")","v":""},{"$f":"IF($A381<>\"\",IF(ZOZNAM!N372=\"\",\"\",ZOZNAM!N372),\"\")","v":"nie"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!O372=\"\",\"\",ZOZNAM!O372),\"\")","v":"nie"},{"$f":"IF($A381<>\"\",IF(ZOZNAM!P372=\"\",\"\",ZOZNAM!P372),\"\")","v":2},{"$f":"IF($A381<>\"\",IF(ZOZNAM!Q372=\"\",\"\",ZOZNAM!Q372),\"\")","v":""},{"$f":"IF($A381<>\"\",IF(ZOZNAM!R372=\"\",\"\",ZOZNAM!R372),\"\")","v":""},{"$f":"IF($A381<>\"\",IF(ZOZNAM!S372=\"\",\"\",ZOZNAM!S372),\"\")","v":""},{"$f":"IF($A381<>\"\",IF(ZOZNAM!T372=\"\",\"\",ZOZNAM!T372),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C373)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C373)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C373)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C373)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C373)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C373)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L373)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L373)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L373)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L373)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L373)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L373)),FALSE))),ZOZNAM!G373>=$C$9),ZOZNAM!A373,\"\")","v":"TI275"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!B373=\"\",\"\",ZOZNAM!B373),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!C373=\"\",\"\",ZOZNAM!C373),\"\")","v":"Advances in Casual Interference using Stata"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!D373=\"\",\"\",ZOZNAM!D373),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!E373=\"\",\"\",ZOZNAM!E373),\"\")","v":2},{"$f":"IF($A382<>\"\",IF(ZOZNAM!F373=\"\",\"\",ZOZNAM!F373),\"\")","v":2},{"$f":"IF($A382<>\"\",IF(ZOZNAM!G373=\"\",\"\",ZOZNAM!G373),\"\")","v":"2019-10-28"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!H373=\"\",\"\",ZOZNAM!H373),\"\")","v":"2019-10-29"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!I373=\"\",\"\",ZOZNAM!I373),\"\")","v":"1 295 GBP"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!J373=\"\",\"\",ZOZNAM!J373),\"\")","v":"2019-10-22"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!K373=\"\",\"\",ZOZNAM!K373),\"\")","v":"https://www.timberlake.co.uk/courses/advances-in-causal-inference-using-stata.html#terms"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!L373=\"\",\"\",ZOZNAM!L373),\"\")","v":"Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata. It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitations."},{"$f":"IF($A382<>\"\",IF(ZOZNAM!M373=\"\",\"\",ZOZNAM!M373),\"\")","v":""},{"$f":"IF($A382<>\"\",IF(ZOZNAM!N373=\"\",\"\",ZOZNAM!N373),\"\")","v":"nie"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!O373=\"\",\"\",ZOZNAM!O373),\"\")","v":"nie"},{"$f":"IF($A382<>\"\",IF(ZOZNAM!P373=\"\",\"\",ZOZNAM!P373),\"\")","v":2},{"$f":"IF($A382<>\"\",IF(ZOZNAM!Q373=\"\",\"\",ZOZNAM!Q373),\"\")","v":""},{"$f":"IF($A382<>\"\",IF(ZOZNAM!R373=\"\",\"\",ZOZNAM!R373),\"\")","v":""},{"$f":"IF($A382<>\"\",IF(ZOZNAM!S373=\"\",\"\",ZOZNAM!S373),\"\")","v":""},{"$f":"IF($A382<>\"\",IF(ZOZNAM!T373=\"\",\"\",ZOZNAM!T373),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C374)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C374)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C374)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C374)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C374)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C374)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L374)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L374)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L374)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L374)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L374)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L374)),FALSE))),ZOZNAM!G374>=$C$9),ZOZNAM!A374,\"\")","v":"TI276"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!B374=\"\",\"\",ZOZNAM!B374),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!C374=\"\",\"\",ZOZNAM!C374),\"\")","v":"Automatic selection of explanatory variables with Stata"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!D374=\"\",\"\",ZOZNAM!D374),\"\")","v":"Frankfurt nad Mohanom, Nemecko"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!E374=\"\",\"\",ZOZNAM!E374),\"\")","v":1},{"$f":"IF($A383<>\"\",IF(ZOZNAM!F374=\"\",\"\",ZOZNAM!F374),\"\")","v":1},{"$f":"IF($A383<>\"\",IF(ZOZNAM!G374=\"\",\"\",ZOZNAM!G374),\"\")","v":"2019-11-20"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!H374=\"\",\"\",ZOZNAM!H374),\"\")","v":"2019-11-20"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!I374=\"\",\"\",ZOZNAM!I374),\"\")","v":"530 GBP"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!J374=\"\",\"\",ZOZNAM!J374),\"\")","v":"2019-11-14"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!K374=\"\",\"\",ZOZNAM!K374),\"\")","v":"https://www.timberlake.co.uk/courses/automatic-selection-of-explanatory-variables-with-stata.html#overview"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!L374=\"\",\"\",ZOZNAM!L374),\"\")","v":"Our Stata course Automatic selection of explanatory variables with Stata aims at introducing methods suitable to automatically select the relevant explanatory variables of linear regression models. Participants will be introduced to various algorithms/techniques allowing to select the best model among a huge number of potential candidate models. Applications will be done on real data, including cross-sectional data, time series data and Panel-data."},{"$f":"IF($A383<>\"\",IF(ZOZNAM!M374=\"\",\"\",ZOZNAM!M374),\"\")","v":""},{"$f":"IF($A383<>\"\",IF(ZOZNAM!N374=\"\",\"\",ZOZNAM!N374),\"\")","v":"nie"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!O374=\"\",\"\",ZOZNAM!O374),\"\")","v":"nie"},{"$f":"IF($A383<>\"\",IF(ZOZNAM!P374=\"\",\"\",ZOZNAM!P374),\"\")","v":2},{"$f":"IF($A383<>\"\",IF(ZOZNAM!Q374=\"\",\"\",ZOZNAM!Q374),\"\")","v":""},{"$f":"IF($A383<>\"\",IF(ZOZNAM!R374=\"\",\"\",ZOZNAM!R374),\"\")","v":""},{"$f":"IF($A383<>\"\",IF(ZOZNAM!S374=\"\",\"\",ZOZNAM!S374),\"\")","v":""},{"$f":"IF($A383<>\"\",IF(ZOZNAM!T374=\"\",\"\",ZOZNAM!T374),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C375)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C375)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C375)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C375)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C375)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C375)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L375)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L375)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L375)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L375)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L375)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L375)),FALSE))),ZOZNAM!G375>=$C$9),ZOZNAM!A375,\"\")","v":"RC001"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!B375=\"\",\"\",ZOZNAM!B375),\"\")","v":"European Commission - Joint Research Centre"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!C375=\"\",\"\",ZOZNAM!C375),\"\")","v":"DYNARE Course - Identification analysis and global sensitivity analysis for Macroeconomic Models 2019"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!D375=\"\",\"\",ZOZNAM!D375),\"\")","v":"Ispra, Taliansko"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!E375=\"\",\"\",ZOZNAM!E375),\"\")","v":3},{"$f":"IF($A384<>\"\",IF(ZOZNAM!F375=\"\",\"\",ZOZNAM!F375),\"\")","v":3},{"$f":"IF($A384<>\"\",IF(ZOZNAM!G375=\"\",\"\",ZOZNAM!G375),\"\")","v":"2019-11-20"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!H375=\"\",\"\",ZOZNAM!H375),\"\")","v":"2019-11-22"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!I375=\"\",\"\",ZOZNAM!I375),\"\")","v":"0 EUR"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!J375=\"\",\"\",ZOZNAM!J375),\"\")","v":"2019-08-02"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!K375=\"\",\"\",ZOZNAM!K375),\"\")","v":"https://ec.europa.eu/jrc/en/event/workshop/dynare-gsa-macroeconomic-models-2019"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!L375=\"\",\"\",ZOZNAM!L375),\"\")","v":"In this course, participants receive a general introduction to: methods of identification and global sensitivity analysis; their DYNARE implementation (identification toolbox and global sensitivity analysis toolbox); their application to Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models; techniques for improving speed  of estimations in DYNARE"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!M375=\"\",\"\",ZOZNAM!M375),\"\")","v":""},{"$f":"IF($A384<>\"\",IF(ZOZNAM!N375=\"\",\"\",ZOZNAM!N375),\"\")","v":"nie"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!O375=\"\",\"\",ZOZNAM!O375),\"\")","v":"nie"},{"$f":"IF($A384<>\"\",IF(ZOZNAM!P375=\"\",\"\",ZOZNAM!P375),\"\")","v":""},{"$f":"IF($A384<>\"\",IF(ZOZNAM!Q375=\"\",\"\",ZOZNAM!Q375),\"\")","v":""},{"$f":"IF($A384<>\"\",IF(ZOZNAM!R375=\"\",\"\",ZOZNAM!R375),\"\")","v":""},{"$f":"IF($A384<>\"\",IF(ZOZNAM!S375=\"\",\"\",ZOZNAM!S375),\"\")","v":""},{"$f":"IF($A384<>\"\",IF(ZOZNAM!T375=\"\",\"\",ZOZNAM!T375),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C382)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C382)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C382)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C382)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C382)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C382)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L382)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L382)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L382)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L382)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L382)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L382)),FALSE))),ZOZNAM!G382>=$C$9),ZOZNAM!A382,\"\")","v":"AC211"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!B382=\"\",\"\",ZOZNAM!B382),\"\")","v":"ACREA CR"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!C382=\"\",\"\",ZOZNAM!C382),\"\")","v":"Analýza kategorizovaných dat I - dvourozměrné kontingenční tabulky četností"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!D382=\"\",\"\",ZOZNAM!D382),\"\")","v":"Praha, Česko"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!E382=\"\",\"\",ZOZNAM!E382),\"\")","v":0},{"$f":"IF($A391<>\"\",IF(ZOZNAM!F382=\"\",\"\",ZOZNAM!F382),\"\")","v":1},{"$f":"IF($A391<>\"\",IF(ZOZNAM!G382=\"\",\"\",ZOZNAM!G382),\"\")","v":"2020-01-06"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!H382=\"\",\"\",ZOZNAM!H382),\"\")","v":"2020-01-06"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!I382=\"\",\"\",ZOZNAM!I382),\"\")","v":"245 EUR"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!J382=\"\",\"\",ZOZNAM!J382),\"\")","v":""},{"$f":"IF($A391<>\"\",IF(ZOZNAM!K382=\"\",\"\",ZOZNAM!K382),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!L382=\"\",\"\",ZOZNAM!L382),\"\")","v":"The course is designed for all analysts who work with categorized and qualitative data, science workers, market researchers, research report users, and all decision makers based on statistical data, or use statistical reports for both operational and strategic conclusions.\n\nPROGRAM KURZU\n- četnosti pro jevy – dichotomická proměnná a vícehodnotová kategorizovaná proměnná – typy a vznik dat\n- rozložení četností a hypotéza dobré shody – chí-kvadrát\n- tabulka 2×2: testy Pearsonův a McNemarův\n- komparace rozložení a vztahy mezi proměnnými – testy homogenity a nezávislosti\n- struktura vztahů: korespondence/korelace/residua – znaménkové schéma\n- (jednoduchá) analýza korespondencí\n- seskupování řádků\n- použití asociačních stromů pro analýzu tabulky\n- míry asociace a změny\n"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!M382=\"\",\"\",ZOZNAM!M382),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n 590 € + 21% DPH za 3 kurzy\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III \n"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!N382=\"\",\"\",ZOZNAM!N382),\"\")","v":"nie"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!O382=\"\",\"\",ZOZNAM!O382),\"\")","v":"nie"},{"$f":"IF($A391<>\"\",IF(ZOZNAM!P382=\"\",\"\",ZOZNAM!P382),\"\")","v":1.9},{"$f":"IF($A391<>\"\",IF(ZOZNAM!Q382=\"\",\"\",ZOZNAM!Q382),\"\")","v":""},{"$f":"IF($A391<>\"\",IF(ZOZNAM!R382=\"\",\"\",ZOZNAM!R382),\"\")","v":""},{"$f":"IF($A391<>\"\",IF(ZOZNAM!S382=\"\",\"\",ZOZNAM!S382),\"\")","v":""},{"$f":"IF($A391<>\"\",IF(ZOZNAM!T382=\"\",\"\",ZOZNAM!T382),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C384)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C384)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C384)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C384)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C384)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C384)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L384)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L384)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L384)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L384)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L384)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L384)),FALSE))),ZOZNAM!G384>=$C$9),ZOZNAM!A384,\"\")","v":"AC213"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!B384=\"\",\"\",ZOZNAM!B384),\"\")","v":"ACREA CR"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!C384=\"\",\"\",ZOZNAM!C384),\"\")","v":"Analýza kategorizovaných dat III- logaritmicko-lineární modely"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!D384=\"\",\"\",ZOZNAM!D384),\"\")","v":"Praha, Česko"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!E384=\"\",\"\",ZOZNAM!E384),\"\")","v":1},{"$f":"IF($A393<>\"\",IF(ZOZNAM!F384=\"\",\"\",ZOZNAM!F384),\"\")","v":1},{"$f":"IF($A393<>\"\",IF(ZOZNAM!G384=\"\",\"\",ZOZNAM!G384),\"\")","v":"2020-01-08"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!H384=\"\",\"\",ZOZNAM!H384),\"\")","v":"2020-01-08"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!I384=\"\",\"\",ZOZNAM!I384),\"\")","v":"245 EUR"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!J384=\"\",\"\",ZOZNAM!J384),\"\")","v":""},{"$f":"IF($A393<>\"\",IF(ZOZNAM!K384=\"\",\"\",ZOZNAM!K384),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!L384=\"\",\"\",ZOZNAM!L384),\"\")","v":"The course is designed for all analysts who work with categorized and qualitative data, science workers, market researchers, users of research reports who interpret the results of analyzes, and anyone who makes decisions based on statistical data.\nCOURSE PROGRAM\n- analysis of relations in tables of two variables - model and its assumptions\n- test of independence hypothesis for two variables using log-linear model\n- Specification and testing of multivariate model - partial association\n- automated search for relationship structure: hierarchical search for associations\n- rectangular and square tables, standard and non-standard hypotheses\n- blocked fields and incomplete tables\n- procedures for the detailed examination of the relationships in the table"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!M384=\"\",\"\",ZOZNAM!M384),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n 590 € + 21% DPH za 3 kurzy\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III "},{"$f":"IF($A393<>\"\",IF(ZOZNAM!N384=\"\",\"\",ZOZNAM!N384),\"\")","v":"nie"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!O384=\"\",\"\",ZOZNAM!O384),\"\")","v":"nie"},{"$f":"IF($A393<>\"\",IF(ZOZNAM!P384=\"\",\"\",ZOZNAM!P384),\"\")","v":1.9},{"$f":"IF($A393<>\"\",IF(ZOZNAM!Q384=\"\",\"\",ZOZNAM!Q384),\"\")","v":""},{"$f":"IF($A393<>\"\",IF(ZOZNAM!R384=\"\",\"\",ZOZNAM!R384),\"\")","v":""},{"$f":"IF($A393<>\"\",IF(ZOZNAM!S384=\"\",\"\",ZOZNAM!S384),\"\")","v":""},{"$f":"IF($A393<>\"\",IF(ZOZNAM!T384=\"\",\"\",ZOZNAM!T384),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C385)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C385)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C385)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C385)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C385)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C385)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L385)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L385)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L385)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L385)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L385)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L385)),FALSE))),ZOZNAM!G385>=$C$9),ZOZNAM!A385,\"\")","v":"AC220"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!B385=\"\",\"\",ZOZNAM!B385),\"\")","v":"ACREA CR"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!C385=\"\",\"\",ZOZNAM!C385),\"\")","v":"Hierarchické lineární modelování"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!D385=\"\",\"\",ZOZNAM!D385),\"\")","v":"Praha, Česko"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!E385=\"\",\"\",ZOZNAM!E385),\"\")","v":1},{"$f":"IF($A394<>\"\",IF(ZOZNAM!F385=\"\",\"\",ZOZNAM!F385),\"\")","v":1},{"$f":"IF($A394<>\"\",IF(ZOZNAM!G385=\"\",\"\",ZOZNAM!G385),\"\")","v":"2020-01-27"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!H385=\"\",\"\",ZOZNAM!H385),\"\")","v":"2020-01-27"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!I385=\"\",\"\",ZOZNAM!I385),\"\")","v":"245 EUR"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!J385=\"\",\"\",ZOZNAM!J385),\"\")","v":""},{"$f":"IF($A394<>\"\",IF(ZOZNAM!K385=\"\",\"\",ZOZNAM!K385),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/hierarchicke-linearni-modelovani/"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!L385=\"\",\"\",ZOZNAM!L385),\"\")","v":"The course introduces concepts, procedures and examples of using the basic two-stage model and the idea of ​​a three-stage model.\n\n\n\nPROGRAM KURZU\n\n\n\nhierarchický model\nproblémy lineárního modelu v situaci skupinek\nteoretické důvody pro jeho použití\nstatistické důvody pro jeho použití\nANOVA a ANCOVA v HLM\nHLM a smíšené lineární modely\nlineární model s fixními předpoklady\nnáhodné koeficienty\npřechod hierarchického modelu na smíšený model\nmodely dvou stupňů\nANOVA a ANCOVA\nrůzné aplikace\nrůzná rozšíření\n"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!M385=\"\",\"\",ZOZNAM!M385),\"\")","v":""},{"$f":"IF($A394<>\"\",IF(ZOZNAM!N385=\"\",\"\",ZOZNAM!N385),\"\")","v":"nie"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!O385=\"\",\"\",ZOZNAM!O385),\"\")","v":"nie"},{"$f":"IF($A394<>\"\",IF(ZOZNAM!P385=\"\",\"\",ZOZNAM!P385),\"\")","v":1.9},{"$f":"IF($A394<>\"\",IF(ZOZNAM!Q385=\"\",\"\",ZOZNAM!Q385),\"\")","v":""},{"$f":"IF($A394<>\"\",IF(ZOZNAM!R385=\"\",\"\",ZOZNAM!R385),\"\")","v":""},{"$f":"IF($A394<>\"\",IF(ZOZNAM!S385=\"\",\"\",ZOZNAM!S385),\"\")","v":""},{"$f":"IF($A394<>\"\",IF(ZOZNAM!T385=\"\",\"\",ZOZNAM!T385),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C386)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C386)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C386)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C386)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C386)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C386)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L386)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L386)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L386)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L386)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L386)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L386)),FALSE))),ZOZNAM!G386>=$C$9),ZOZNAM!A386,\"\")","v":"AC214"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!B386=\"\",\"\",ZOZNAM!B386),\"\")","v":"ACREA CR"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!C386=\"\",\"\",ZOZNAM!C386),\"\")","v":"Analýza dat ve zdravotnictví"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!D386=\"\",\"\",ZOZNAM!D386),\"\")","v":"Praha, Česko"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!E386=\"\",\"\",ZOZNAM!E386),\"\")","v":3},{"$f":"IF($A395<>\"\",IF(ZOZNAM!F386=\"\",\"\",ZOZNAM!F386),\"\")","v":3},{"$f":"IF($A395<>\"\",IF(ZOZNAM!G386=\"\",\"\",ZOZNAM!G386),\"\")","v":"2020-02-17"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!H386=\"\",\"\",ZOZNAM!H386),\"\")","v":"2020-02-19"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!I386=\"\",\"\",ZOZNAM!I386),\"\")","v":"540 EUR"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!J386=\"\",\"\",ZOZNAM!J386),\"\")","v":""},{"$f":"IF($A395<>\"\",IF(ZOZNAM!K386=\"\",\"\",ZOZNAM!K386),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-dat-ve-zdravotnictvi/"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!L386=\"\",\"\",ZOZNAM!L386),\"\")","v":"The aim of the course is to present basic concepts, procedures and methods of statistical data analysis to doctors, medical students and other health care professionals in a comprehensible form. During the course, students will also learn how to work with professional statistical software IBM SPSS Statistics.\nThe course is intended for all those interested in medicine and health care who, within their profession, encounter statistical data analysis, want to understand the basic principles and become familiar with the most commonly used methods. They need to understand the results of statistical data processing, learn to read them, understand them and understand the basic concepts. They have research carried out by experts, they need to learn to formulate their requirements correctly and discuss the problem in an informed way.\n\nCOURSE PROGRAM\n- Introduction to health statistics, introduction to basic concepts\n- data matrices, types of variables\n- categorized data: frequency table, frequency charts (bar and pie charts)\n- numeric variables: quantiles, boxplot, mean, standard deviation, confidence intervals\n- second stage sorting\n- Principle of statistical hypothesis testing, test strength and sample size\n- T-tests, ANOVA\n- non-parametric tests\n- correlation analysis\n- linear regression"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!M386=\"\",\"\",ZOZNAM!M386),\"\")","v":""},{"$f":"IF($A395<>\"\",IF(ZOZNAM!N386=\"\",\"\",ZOZNAM!N386),\"\")","v":"nie"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!O386=\"\",\"\",ZOZNAM!O386),\"\")","v":"nie"},{"$f":"IF($A395<>\"\",IF(ZOZNAM!P386=\"\",\"\",ZOZNAM!P386),\"\")","v":1.9},{"$f":"IF($A395<>\"\",IF(ZOZNAM!Q386=\"\",\"\",ZOZNAM!Q386),\"\")","v":""},{"$f":"IF($A395<>\"\",IF(ZOZNAM!R386=\"\",\"\",ZOZNAM!R386),\"\")","v":""},{"$f":"IF($A395<>\"\",IF(ZOZNAM!S386=\"\",\"\",ZOZNAM!S386),\"\")","v":""},{"$f":"IF($A395<>\"\",IF(ZOZNAM!T386=\"\",\"\",ZOZNAM!T386),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C387)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C387)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C387)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C387)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C387)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C387)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L387)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L387)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L387)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L387)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L387)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L387)),FALSE))),ZOZNAM!G387>=$C$9),ZOZNAM!A387,\"\")","v":"AC215"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!B387=\"\",\"\",ZOZNAM!B387),\"\")","v":"ACREA CR"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!C387=\"\",\"\",ZOZNAM!C387),\"\")","v":"Analýza délky života"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!D387=\"\",\"\",ZOZNAM!D387),\"\")","v":"Praha, Česko"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!E387=\"\",\"\",ZOZNAM!E387),\"\")","v":1},{"$f":"IF($A396<>\"\",IF(ZOZNAM!F387=\"\",\"\",ZOZNAM!F387),\"\")","v":1},{"$f":"IF($A396<>\"\",IF(ZOZNAM!G387=\"\",\"\",ZOZNAM!G387),\"\")","v":"2020-02-20"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!H387=\"\",\"\",ZOZNAM!H387),\"\")","v":"2020-02-20"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!I387=\"\",\"\",ZOZNAM!I387),\"\")","v":"245 EUR"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!J387=\"\",\"\",ZOZNAM!J387),\"\")","v":""},{"$f":"IF($A396<>\"\",IF(ZOZNAM!K387=\"\",\"\",ZOZNAM!K387),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-delky-zivota/"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!L387=\"\",\"\",ZOZNAM!L387),\"\")","v":"The aim of the course is to acquaint the participants with basic methods of life expectancy analysis (tables of life expectancy, Kaplan - Meier models and Cox regression), which enable to answer the following questions:\nWhat is the course of “mortality” as a function of time?\nWhether and how different factors influence lifespan?\nVýuka klade důraz především na praktické aplikace úloh a na interpretaci výsledků.\nPROGRAM KURZU\n- základní pojmy a předpoklady analýzy délky života\n- funkce přežití, hazard\n- tabulky délky života\n- Kaplan – Meierovy modely\n- Coxova regrese\n- Coxova regrese s časově závislou kovariátou\n"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!M387=\"\",\"\",ZOZNAM!M387),\"\")","v":""},{"$f":"IF($A396<>\"\",IF(ZOZNAM!N387=\"\",\"\",ZOZNAM!N387),\"\")","v":"nie"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!O387=\"\",\"\",ZOZNAM!O387),\"\")","v":"nie"},{"$f":"IF($A396<>\"\",IF(ZOZNAM!P387=\"\",\"\",ZOZNAM!P387),\"\")","v":1.9},{"$f":"IF($A396<>\"\",IF(ZOZNAM!Q387=\"\",\"\",ZOZNAM!Q387),\"\")","v":""},{"$f":"IF($A396<>\"\",IF(ZOZNAM!R387=\"\",\"\",ZOZNAM!R387),\"\")","v":""},{"$f":"IF($A396<>\"\",IF(ZOZNAM!S387=\"\",\"\",ZOZNAM!S387),\"\")","v":""},{"$f":"IF($A396<>\"\",IF(ZOZNAM!T387=\"\",\"\",ZOZNAM!T387),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C388)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C388)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C388)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C388)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C388)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C388)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L388)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L388)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L388)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L388)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L388)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L388)),FALSE))),ZOZNAM!G388>=$C$9),ZOZNAM!A388,\"\")","v":"AC216"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!B388=\"\",\"\",ZOZNAM!B388),\"\")","v":"ACREA CR"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!C388=\"\",\"\",ZOZNAM!C388),\"\")","v":"Semestrální kurz: Statistická analýza dat v praxi"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!D388=\"\",\"\",ZOZNAM!D388),\"\")","v":"Praha, Česko"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!E388=\"\",\"\",ZOZNAM!E388),\"\")","v":77},{"$f":"IF($A397<>\"\",IF(ZOZNAM!F388=\"\",\"\",ZOZNAM!F388),\"\")","v":113},{"$f":"IF($A397<>\"\",IF(ZOZNAM!G388=\"\",\"\",ZOZNAM!G388),\"\")","v":"2020-02-28"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!H388=\"\",\"\",ZOZNAM!H388),\"\")","v":"2020-06-19"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!I388=\"\",\"\",ZOZNAM!I388),\"\")","v":"1440 EUR"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!J388=\"\",\"\",ZOZNAM!J388),\"\")","v":""},{"$f":"IF($A397<>\"\",IF(ZOZNAM!K388=\"\",\"\",ZOZNAM!K388),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/statisticka-analyza-dat-v-praxi/"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!L388=\"\",\"\",ZOZNAM!L388),\"\")","v":"Participants in this semester course will gain a comprehensive overview of the most commonly used methods of data analysis that can be applied regardless of statistical software. We will introduce you to the basics of analytical work and learn many useful ways and procedures for practice. All professionals who carry out statistical analyzes or teach these topics can participate.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\n\n\n\n\nÚčastníci tohoto semestrálního kurzu získají ucelený přehled o nejčastěji využívaných postupech analýzy dat, které je možné aplikovat bez ohledu na statistický software. Seznámíme vás se základy pro analytickou práci a osvojíte si mnoho užitečných způsobů a postupů pro praxi. Účastnit se mohou všichni odborní pracovníci, kteří realizují statistické analýzy nebo tato témata vyučují.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\n\n\n\n\n\n\nÚčastníci tohoto semestrálního kurzu získají ucelený přehled o nejčastěji využívaných postupech analýzy dat, které je možné aplikovat bez ohledu na statistický software. Seznámíme vás se základy pro analytickou práci a osvojíte si mnoho užitečných způsobů a postupů pro praxi. Účastnit se mohou všichni odborní pracovníci, kteří realizují statistické analýzy nebo tato témata vyučují.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\n"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!M388=\"\",\"\",ZOZNAM!M388),\"\")","v":"20% SLEVA PŘI PŘIHLÁŠENÍ DO 31.12.2019 - 31 920 Kč / 1 152 € + 21% DPH\n"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!N388=\"\",\"\",ZOZNAM!N388),\"\")","v":"nie"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!O388=\"\",\"\",ZOZNAM!O388),\"\")","v":"nie"},{"$f":"IF($A397<>\"\",IF(ZOZNAM!P388=\"\",\"\",ZOZNAM!P388),\"\")","v":1.9},{"$f":"IF($A397<>\"\",IF(ZOZNAM!Q388=\"\",\"\",ZOZNAM!Q388),\"\")","v":""},{"$f":"IF($A397<>\"\",IF(ZOZNAM!R388=\"\",\"\",ZOZNAM!R388),\"\")","v":""},{"$f":"IF($A397<>\"\",IF(ZOZNAM!S388=\"\",\"\",ZOZNAM!S388),\"\")","v":""},{"$f":"IF($A397<>\"\",IF(ZOZNAM!T388=\"\",\"\",ZOZNAM!T388),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C389)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C389)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C389)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C389)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C389)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C389)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L389)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L389)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L389)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L389)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L389)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L389)),FALSE))),ZOZNAM!G389>=$C$9),ZOZNAM!A389,\"\")","v":"AC221"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!B389=\"\",\"\",ZOZNAM!B389),\"\")","v":"ACREA CR"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!C389=\"\",\"\",ZOZNAM!C389),\"\")","v":"IRT modely - Teorie a aplikace"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!D389=\"\",\"\",ZOZNAM!D389),\"\")","v":"Praha, Česko"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!E389=\"\",\"\",ZOZNAM!E389),\"\")","v":1},{"$f":"IF($A398<>\"\",IF(ZOZNAM!F389=\"\",\"\",ZOZNAM!F389),\"\")","v":1},{"$f":"IF($A398<>\"\",IF(ZOZNAM!G389=\"\",\"\",ZOZNAM!G389),\"\")","v":"2020-03-02"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!H389=\"\",\"\",ZOZNAM!H389),\"\")","v":"2020-03-02"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!I389=\"\",\"\",ZOZNAM!I389),\"\")","v":"245 EUR"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!J389=\"\",\"\",ZOZNAM!J389),\"\")","v":""},{"$f":"IF($A398<>\"\",IF(ZOZNAM!K389=\"\",\"\",ZOZNAM!K389),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/irt-modely/"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!L389=\"\",\"\",ZOZNAM!L389),\"\")","v":"Learning outcomes of the course is to acquaint the participants with the basic theoretical background of IRT models, to show the advantages against the classical theory of testing and in the practical part to teach them to use the basic 1-, 2- and 3-parametric model, which means to apply the model, evaluate it including evaluation of individual items how to determine the level of knowledge or attitudes for an individual respondent and how to interpret it meaningfully. Attention will be paid to more complicated IRT models. An integral part of the course will be an example of linking IBM SPSS Statistics and R."},{"$f":"IF($A398<>\"\",IF(ZOZNAM!M389=\"\",\"\",ZOZNAM!M389),\"\")","v":""},{"$f":"IF($A398<>\"\",IF(ZOZNAM!N389=\"\",\"\",ZOZNAM!N389),\"\")","v":"nie"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!O389=\"\",\"\",ZOZNAM!O389),\"\")","v":"nie"},{"$f":"IF($A398<>\"\",IF(ZOZNAM!P389=\"\",\"\",ZOZNAM!P389),\"\")","v":1.9},{"$f":"IF($A398<>\"\",IF(ZOZNAM!Q389=\"\",\"\",ZOZNAM!Q389),\"\")","v":""},{"$f":"IF($A398<>\"\",IF(ZOZNAM!R389=\"\",\"\",ZOZNAM!R389),\"\")","v":""},{"$f":"IF($A398<>\"\",IF(ZOZNAM!S389=\"\",\"\",ZOZNAM!S389),\"\")","v":""},{"$f":"IF($A398<>\"\",IF(ZOZNAM!T389=\"\",\"\",ZOZNAM!T389),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C390)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C390)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C390)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C390)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C390)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C390)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L390)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L390)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L390)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L390)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L390)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L390)),FALSE))),ZOZNAM!G390>=$C$9),ZOZNAM!A390,\"\")","v":"AC225"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!B390=\"\",\"\",ZOZNAM!B390),\"\")","v":"ACREA CR"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!C390=\"\",\"\",ZOZNAM!C390),\"\")","v":"Plánovaní výzkumu: Reprezentativa"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!D390=\"\",\"\",ZOZNAM!D390),\"\")","v":"Praha, Česko"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!E390=\"\",\"\",ZOZNAM!E390),\"\")","v":24},{"$f":"IF($A399<>\"\",IF(ZOZNAM!F390=\"\",\"\",ZOZNAM!F390),\"\")","v":32},{"$f":"IF($A399<>\"\",IF(ZOZNAM!G390=\"\",\"\",ZOZNAM!G390),\"\")","v":"2020-03-03"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!H390=\"\",\"\",ZOZNAM!H390),\"\")","v":"2020-04-03"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!I390=\"\",\"\",ZOZNAM!I390),\"\")","v":"430 EUR"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!J390=\"\",\"\",ZOZNAM!J390),\"\")","v":""},{"$f":"IF($A399<>\"\",IF(ZOZNAM!K390=\"\",\"\",ZOZNAM!K390),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/planovani-vyzkumu-reprezentativita/"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!L390=\"\",\"\",ZOZNAM!L390),\"\")","v":"The course will provide students theoretically and practically with the basic phases of planning and implementation of sample surveys. Participants will learn to work with different types of selections and identify situations where it is appropriate to use these methods. They will learn how to ensure representativeness of selection. They will get acquainted with the principle and design of design and poststratification scales and they will learn to evaluate the research, obtain the necessary estimates and correctly express their accuracy based on the design of the selection. Participants will work with professional statistical software IBM SPSS Statistics."},{"$f":"IF($A399<>\"\",IF(ZOZNAM!M390=\"\",\"\",ZOZNAM!M390),\"\")","v":""},{"$f":"IF($A399<>\"\",IF(ZOZNAM!N390=\"\",\"\",ZOZNAM!N390),\"\")","v":"nie"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!O390=\"\",\"\",ZOZNAM!O390),\"\")","v":"nie"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!P390=\"\",\"\",ZOZNAM!P390),\"\")","v":1.9},{"$f":"IF($A399<>\"\",IF(ZOZNAM!Q390=\"\",\"\",ZOZNAM!Q390),\"\")","v":2.5},{"$f":"IF($A399<>\"\",IF(ZOZNAM!R390=\"\",\"\",ZOZNAM!R390),\"\")","v":2},{"$f":"IF($A399<>\"\",IF(ZOZNAM!S390=\"\",\"\",ZOZNAM!S390),\"\")","v":"Pokročilým"},{"$f":"IF($A399<>\"\",IF(ZOZNAM!T390=\"\",\"\",ZOZNAM!T390),\"\")","v":"Na účely kurzu je potrebné ovládať štatistiku, je úzko zameraný. Praktická časť v SPSS ale väčšina princípov je aplikovateľná aj v iných SW. Účastníci ocenili aj jednoduchú interakciu s prednášajúcimi."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C391)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C391)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C391)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C391)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C391)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C391)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L391)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L391)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L391)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L391)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L391)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L391)),FALSE))),ZOZNAM!G391>=$C$9),ZOZNAM!A391,\"\")","v":"AC230"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!B391=\"\",\"\",ZOZNAM!B391),\"\")","v":"ACREA CR"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!C391=\"\",\"\",ZOZNAM!C391),\"\")","v":"Data mining - dolování znalostí z databází"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!D391=\"\",\"\",ZOZNAM!D391),\"\")","v":"Praha, Česko"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!E391=\"\",\"\",ZOZNAM!E391),\"\")","v":3},{"$f":"IF($A400<>\"\",IF(ZOZNAM!F391=\"\",\"\",ZOZNAM!F391),\"\")","v":3},{"$f":"IF($A400<>\"\",IF(ZOZNAM!G391=\"\",\"\",ZOZNAM!G391),\"\")","v":"2020-03-09"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!H391=\"\",\"\",ZOZNAM!H391),\"\")","v":"2020-03-11"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!I391=\"\",\"\",ZOZNAM!I391),\"\")","v":"670 EUR"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!J391=\"\",\"\",ZOZNAM!J391),\"\")","v":""},{"$f":"IF($A400<>\"\",IF(ZOZNAM!K391=\"\",\"\",ZOZNAM!K391),\"\")","v":"https://kurzystatistiky.cz/kurzy/data-mining/data-mining-dolovani-znalosti-z-databazi/"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!L391=\"\",\"\",ZOZNAM!L391),\"\")","v":"The aim of the course is to introduce participants to the basic tasks and procedures of data mining and to teach them to design prediction procedures. Participants will learn about the partial procedures used in the individual phases of the project and will learn to combine these procedures into a meaningful solution. The course is designed in general and is not intended to teach specific software, but due to the complexity of algorithms, the course is taught with the help of IBM SPSS Modeler software (PS CLEMENTINE).\n\n\n\nCOURSE PROGRAM\n\n\n\ndata mining tasks and CRISP-DM methodology\nVisualization of data mining process\ndata audit and data preparation\nmodeling and evaluation of solutions\nprinciples of selected modeling methods\nputting the solution into practice\n"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!M391=\"\",\"\",ZOZNAM!M391),\"\")","v":""},{"$f":"IF($A400<>\"\",IF(ZOZNAM!N391=\"\",\"\",ZOZNAM!N391),\"\")","v":"nie"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!O391=\"\",\"\",ZOZNAM!O391),\"\")","v":"nie"},{"$f":"IF($A400<>\"\",IF(ZOZNAM!P391=\"\",\"\",ZOZNAM!P391),\"\")","v":1.9},{"$f":"IF($A400<>\"\",IF(ZOZNAM!Q391=\"\",\"\",ZOZNAM!Q391),\"\")","v":""},{"$f":"IF($A400<>\"\",IF(ZOZNAM!R391=\"\",\"\",ZOZNAM!R391),\"\")","v":""},{"$f":"IF($A400<>\"\",IF(ZOZNAM!S391=\"\",\"\",ZOZNAM!S391),\"\")","v":""},{"$f":"IF($A400<>\"\",IF(ZOZNAM!T391=\"\",\"\",ZOZNAM!T391),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C392)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C392)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C392)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C392)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C392)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C392)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L392)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L392)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L392)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L392)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L392)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L392)),FALSE))),ZOZNAM!G392>=$C$9),ZOZNAM!A392,\"\")","v":"AC229"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!B392=\"\",\"\",ZOZNAM!B392),\"\")","v":"ACREA CR"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!C392=\"\",\"\",ZOZNAM!C392),\"\")","v":"Základy statistiky pro analýzu dat"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!D392=\"\",\"\",ZOZNAM!D392),\"\")","v":"Praha, Česko"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!E392=\"\",\"\",ZOZNAM!E392),\"\")","v":3},{"$f":"IF($A401<>\"\",IF(ZOZNAM!F392=\"\",\"\",ZOZNAM!F392),\"\")","v":3},{"$f":"IF($A401<>\"\",IF(ZOZNAM!G392=\"\",\"\",ZOZNAM!G392),\"\")","v":"2020-03-16"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!H392=\"\",\"\",ZOZNAM!H392),\"\")","v":"2020-03-18"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!I392=\"\",\"\",ZOZNAM!I392),\"\")","v":"480 EUR"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!J392=\"\",\"\",ZOZNAM!J392),\"\")","v":""},{"$f":"IF($A401<>\"\",IF(ZOZNAM!K392=\"\",\"\",ZOZNAM!K392),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!L392=\"\",\"\",ZOZNAM!L392),\"\")","v":"The aim of the course is to introduce the participants to the basics of statistical work and data analysis, to acquaint them with the concepts, methods and means for:\n• file description\n• comparing groups\n• association and correlation analysis.\nTopics are evenly distributed between analysis of numerical data and frequency (percent). Students will also learn how to work with professional statistical software IBM SPSS Statistics."},{"$f":"IF($A401<>\"\",IF(ZOZNAM!M392=\"\",\"\",ZOZNAM!M392),\"\")","v":""},{"$f":"IF($A401<>\"\",IF(ZOZNAM!N392=\"\",\"\",ZOZNAM!N392),\"\")","v":"nie"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!O392=\"\",\"\",ZOZNAM!O392),\"\")","v":"nie"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!P392=\"\",\"\",ZOZNAM!P392),\"\")","v":1.9},{"$f":"IF($A401<>\"\",IF(ZOZNAM!Q392=\"\",\"\",ZOZNAM!Q392),\"\")","v":2},{"$f":"IF($A401<>\"\",IF(ZOZNAM!R392=\"\",\"\",ZOZNAM!R392),\"\")","v":1},{"$f":"IF($A401<>\"\",IF(ZOZNAM!S392=\"\",\"\",ZOZNAM!S392),\"\")","v":"Začiatočníkom"},{"$f":"IF($A401<>\"\",IF(ZOZNAM!T392=\"\",\"\",ZOZNAM!T392),\"\")","v":"Kurz bol vyvážený z hľadiska teórie a praxe , poskytol rozšírenie vedomostí aj mimo pracovnej náplne. Pedagógovia boli dobrí aj ako odborníci aj ako učitelia."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C393)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C393)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C393)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C393)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C393)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C393)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L393)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L393)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L393)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L393)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L393)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L393)),FALSE))),ZOZNAM!G393>=$C$9),ZOZNAM!A393,\"\")","v":"AC217"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!B393=\"\",\"\",ZOZNAM!B393),\"\")","v":"ACREA CR"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!C393=\"\",\"\",ZOZNAM!C393),\"\")","v":"Analýza a predikce časových řad"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!D393=\"\",\"\",ZOZNAM!D393),\"\")","v":"Praha, Česko"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!E393=\"\",\"\",ZOZNAM!E393),\"\")","v":3},{"$f":"IF($A402<>\"\",IF(ZOZNAM!F393=\"\",\"\",ZOZNAM!F393),\"\")","v":3},{"$f":"IF($A402<>\"\",IF(ZOZNAM!G393=\"\",\"\",ZOZNAM!G393),\"\")","v":"2020-03-23"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!H393=\"\",\"\",ZOZNAM!H393),\"\")","v":"2020-03-25"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!I393=\"\",\"\",ZOZNAM!I393),\"\")","v":"540 EUR"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!J393=\"\",\"\",ZOZNAM!J393),\"\")","v":""},{"$f":"IF($A402<>\"\",IF(ZOZNAM!K393=\"\",\"\",ZOZNAM!K393),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-a-predikce-casovych-rad/"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!L393=\"\",\"\",ZOZNAM!L393),\"\")","v":"Learning outcomes of the course unit The aim of the course is to acquaint participants with methods for processing time series and teach them to use these methods in practice. Basic approaches to time series and advanced methods (exponential equalization, ARIMA and ARIMA with explanatory variables) are taught. For each method the theoretical fundamentals are discussed, but at the same time there is a strong emphasis on its use in situations that the participant encounters in their practice.\n\n\n\nPROGRAM KURZU\n\n\n\nzákladní pojmy časových řad\nklouzavé průměry a sezónní dekompozice\nregresní analýza časových řad\nexponenciální vyrovnávání\nARIMA modely\naplikace odhadů – scénáře\nspektrální analýza\nsamostatný příklad\n"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!M393=\"\",\"\",ZOZNAM!M393),\"\")","v":""},{"$f":"IF($A402<>\"\",IF(ZOZNAM!N393=\"\",\"\",ZOZNAM!N393),\"\")","v":"nie"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!O393=\"\",\"\",ZOZNAM!O393),\"\")","v":"nie"},{"$f":"IF($A402<>\"\",IF(ZOZNAM!P393=\"\",\"\",ZOZNAM!P393),\"\")","v":1.9},{"$f":"IF($A402<>\"\",IF(ZOZNAM!Q393=\"\",\"\",ZOZNAM!Q393),\"\")","v":""},{"$f":"IF($A402<>\"\",IF(ZOZNAM!R393=\"\",\"\",ZOZNAM!R393),\"\")","v":""},{"$f":"IF($A402<>\"\",IF(ZOZNAM!S393=\"\",\"\",ZOZNAM!S393),\"\")","v":""},{"$f":"IF($A402<>\"\",IF(ZOZNAM!T393=\"\",\"\",ZOZNAM!T393),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C394)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C394)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C394)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C394)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C394)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C394)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L394)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L394)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L394)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L394)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L394)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L394)),FALSE))),ZOZNAM!G394>=$C$9),ZOZNAM!A394,\"\")","v":"AC223"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!B394=\"\",\"\",ZOZNAM!B394),\"\")","v":"ACREA CR"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!C394=\"\",\"\",ZOZNAM!C394),\"\")","v":"Korespondenční analýza"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!D394=\"\",\"\",ZOZNAM!D394),\"\")","v":"Praha, Česko"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!E394=\"\",\"\",ZOZNAM!E394),\"\")","v":1},{"$f":"IF($A403<>\"\",IF(ZOZNAM!F394=\"\",\"\",ZOZNAM!F394),\"\")","v":1},{"$f":"IF($A403<>\"\",IF(ZOZNAM!G394=\"\",\"\",ZOZNAM!G394),\"\")","v":"2020-03-30"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!H394=\"\",\"\",ZOZNAM!H394),\"\")","v":"2020-03-30"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!I394=\"\",\"\",ZOZNAM!I394),\"\")","v":"200 EUR"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!J394=\"\",\"\",ZOZNAM!J394),\"\")","v":""},{"$f":"IF($A403<>\"\",IF(ZOZNAM!K394=\"\",\"\",ZOZNAM!K394),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korespondencni-analyza/"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!L394=\"\",\"\",ZOZNAM!L394),\"\")","v":"The aim of the course is to provide the basics of one of the most widespread statistical methodologies for the analysis of multivariate categorized data.\n\n\n\nPROGRAM KURZU\n\n\n\nasociace v kontingenční tabulce: test chí-kvadrát, asociace v polích (znaménkové schéma)\nmotivační příklad, řádkové a sloupcové profily, jejich zobrazení\nkorespondenční analýza dvourozměrné kontingenční tabulky\nzákladní výstup -  korespondenční mapa kategorií\nvícerozměrný problém: soustava tabulek četností\nkvantifikace kategorií, případů a skupin\n"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!M394=\"\",\"\",ZOZNAM!M394),\"\")","v":""},{"$f":"IF($A403<>\"\",IF(ZOZNAM!N394=\"\",\"\",ZOZNAM!N394),\"\")","v":"nie"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!O394=\"\",\"\",ZOZNAM!O394),\"\")","v":"nie"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!P394=\"\",\"\",ZOZNAM!P394),\"\")","v":1.9},{"$f":"IF($A403<>\"\",IF(ZOZNAM!Q394=\"\",\"\",ZOZNAM!Q394),\"\")","v":1.5},{"$f":"IF($A403<>\"\",IF(ZOZNAM!R394=\"\",\"\",ZOZNAM!R394),\"\")","v":2},{"$f":"IF($A403<>\"\",IF(ZOZNAM!S394=\"\",\"\",ZOZNAM!S394),\"\")","v":"Začiatočníkom"},{"$f":"IF($A403<>\"\",IF(ZOZNAM!T394=\"\",\"\",ZOZNAM!T394),\"\")","v":"Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C395)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C395)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C395)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C395)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C395)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C395)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L395)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L395)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L395)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L395)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L395)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L395)),FALSE))),ZOZNAM!G395>=$C$9),ZOZNAM!A395,\"\")","v":"AC218"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!B395=\"\",\"\",ZOZNAM!B395),\"\")","v":"ACREA CR"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!C395=\"\",\"\",ZOZNAM!C395),\"\")","v":"Analýza rozptylu - přístupy k odhalování příčin a vlivů"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!D395=\"\",\"\",ZOZNAM!D395),\"\")","v":"Praha, Česko"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!E395=\"\",\"\",ZOZNAM!E395),\"\")","v":2},{"$f":"IF($A404<>\"\",IF(ZOZNAM!F395=\"\",\"\",ZOZNAM!F395),\"\")","v":2},{"$f":"IF($A404<>\"\",IF(ZOZNAM!G395=\"\",\"\",ZOZNAM!G395),\"\")","v":"2020-03-31"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!H395=\"\",\"\",ZOZNAM!H395),\"\")","v":"2020-04-01"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!I395=\"\",\"\",ZOZNAM!I395),\"\")","v":"430 EUR"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!J395=\"\",\"\",ZOZNAM!J395),\"\")","v":""},{"$f":"IF($A404<>\"\",IF(ZOZNAM!K395=\"\",\"\",ZOZNAM!K395),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!L395=\"\",\"\",ZOZNAM!L395),\"\")","v":"The courset intoduces participants to the basic principles of method Analysis of variance (analysis of variance, ANOVA). The course is focused mainly on the analysis of variance of single and double classification, testing of more detailed hypotheses on the averages in groups using contrasts and post hoc tests and on the analysis of covariance."},{"$f":"IF($A404<>\"\",IF(ZOZNAM!M395=\"\",\"\",ZOZNAM!M395),\"\")","v":""},{"$f":"IF($A404<>\"\",IF(ZOZNAM!N395=\"\",\"\",ZOZNAM!N395),\"\")","v":"nie"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!O395=\"\",\"\",ZOZNAM!O395),\"\")","v":"nie"},{"$f":"IF($A404<>\"\",IF(ZOZNAM!P395=\"\",\"\",ZOZNAM!P395),\"\")","v":1.9},{"$f":"IF($A404<>\"\",IF(ZOZNAM!Q395=\"\",\"\",ZOZNAM!Q395),\"\")","v":""},{"$f":"IF($A404<>\"\",IF(ZOZNAM!R395=\"\",\"\",ZOZNAM!R395),\"\")","v":""},{"$f":"IF($A404<>\"\",IF(ZOZNAM!S395=\"\",\"\",ZOZNAM!S395),\"\")","v":""},{"$f":"IF($A404<>\"\",IF(ZOZNAM!T395=\"\",\"\",ZOZNAM!T395),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C396)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C396)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C396)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C396)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C396)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C396)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L396)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L396)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L396)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L396)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L396)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L396)),FALSE))),ZOZNAM!G396>=$C$9),ZOZNAM!A396,\"\")","v":"AC231"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!B396=\"\",\"\",ZOZNAM!B396),\"\")","v":"ACREA CR"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!C396=\"\",\"\",ZOZNAM!C396),\"\")","v":"Text mining"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!D396=\"\",\"\",ZOZNAM!D396),\"\")","v":"Praha, Česko"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!E396=\"\",\"\",ZOZNAM!E396),\"\")","v":1},{"$f":"IF($A405<>\"\",IF(ZOZNAM!F396=\"\",\"\",ZOZNAM!F396),\"\")","v":1},{"$f":"IF($A405<>\"\",IF(ZOZNAM!G396=\"\",\"\",ZOZNAM!G396),\"\")","v":"2020-04-15"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!H396=\"\",\"\",ZOZNAM!H396),\"\")","v":"2020-04-15"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!I396=\"\",\"\",ZOZNAM!I396),\"\")","v":"245 EUR"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!J396=\"\",\"\",ZOZNAM!J396),\"\")","v":""},{"$f":"IF($A405<>\"\",IF(ZOZNAM!K396=\"\",\"\",ZOZNAM!K396),\"\")","v":"https://kurzystatistiky.cz/kurzy/data-mining/text-mining/"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!L396=\"\",\"\",ZOZNAM!L396),\"\")","v":"The textmining course will acquaint participants with the methods of extracting key features from the text and their use in predictive modeling. We will use methods of natural language statistical processing (NLP) to extract properties from text. These allow you to detect concepts and hidden topics that can be expressed in many ways due to the variability and rich vocabulary of natural languages. The course will deal with symptom extraction at various levels: from letter groups called n-grams to terms to complex semantic topics and their properties. An example of extracting complex patterns from a text may be sentiment analysis, recognizing the positive and negative attitudes of the author. Methods of statistical processing of natural languages ​​must necessarily be supported by many linguistic resources in the format of dictionaries and rules. Participants will also learn about this language support in order to be able to appropriately select and possibly modify linguistic resources for a specific task.\n\n\n\nCOURSE PROGRAM\n\n\n\n\ntext mining tasks\n\n\nstructured representation of text documents\n\n\nobtaining and indexing a text collection\n\n\ntext processing procedures and their sorting\n\n\nextraction of concepts, their properties and complex patterns\n\n\nreduction of dimensionality of extracted attributes\n\n\ncontent analysis\n\n\nclassification and grouping of documents\n\n\nsearch in collection\n\n\ndatamining tasks with text data support\n\n\nmanagement and modification of linguistic resources"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!M396=\"\",\"\",ZOZNAM!M396),\"\")","v":""},{"$f":"IF($A405<>\"\",IF(ZOZNAM!N396=\"\",\"\",ZOZNAM!N396),\"\")","v":"nie"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!O396=\"\",\"\",ZOZNAM!O396),\"\")","v":"nie"},{"$f":"IF($A405<>\"\",IF(ZOZNAM!P396=\"\",\"\",ZOZNAM!P396),\"\")","v":1.9},{"$f":"IF($A405<>\"\",IF(ZOZNAM!Q396=\"\",\"\",ZOZNAM!Q396),\"\")","v":""},{"$f":"IF($A405<>\"\",IF(ZOZNAM!R396=\"\",\"\",ZOZNAM!R396),\"\")","v":""},{"$f":"IF($A405<>\"\",IF(ZOZNAM!S396=\"\",\"\",ZOZNAM!S396),\"\")","v":""},{"$f":"IF($A405<>\"\",IF(ZOZNAM!T396=\"\",\"\",ZOZNAM!T396),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C397)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C397)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C397)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C397)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C397)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C397)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L397)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L397)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L397)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L397)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L397)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L397)),FALSE))),ZOZNAM!G397>=$C$9),ZOZNAM!A397,\"\")","v":"AC222"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!B397=\"\",\"\",ZOZNAM!B397),\"\")","v":"ACREA CR"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!C397=\"\",\"\",ZOZNAM!C397),\"\")","v":"Korelační analýza"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!D397=\"\",\"\",ZOZNAM!D397),\"\")","v":"Praha, Česko"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!E397=\"\",\"\",ZOZNAM!E397),\"\")","v":1},{"$f":"IF($A406<>\"\",IF(ZOZNAM!F397=\"\",\"\",ZOZNAM!F397),\"\")","v":1},{"$f":"IF($A406<>\"\",IF(ZOZNAM!G397=\"\",\"\",ZOZNAM!G397),\"\")","v":"2020-04-27"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!H397=\"\",\"\",ZOZNAM!H397),\"\")","v":"2020-04-27"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!I397=\"\",\"\",ZOZNAM!I397),\"\")","v":"200 EUR"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!J397=\"\",\"\",ZOZNAM!J397),\"\")","v":""},{"$f":"IF($A406<>\"\",IF(ZOZNAM!K397=\"\",\"\",ZOZNAM!K397),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!L397=\"\",\"\",ZOZNAM!L397),\"\")","v":"The aim of this course is to acquaint students with correlation measures for numerical data and their application in various practical situations. Topic  is illustrated and practiced on real data from analytical practice. Students will acquire sufficient knowledge for independent correct use of correlations in their own analyzes."},{"$f":"IF($A406<>\"\",IF(ZOZNAM!M397=\"\",\"\",ZOZNAM!M397),\"\")","v":""},{"$f":"IF($A406<>\"\",IF(ZOZNAM!N397=\"\",\"\",ZOZNAM!N397),\"\")","v":"nie"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!O397=\"\",\"\",ZOZNAM!O397),\"\")","v":"nie"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!P397=\"\",\"\",ZOZNAM!P397),\"\")","v":1.9},{"$f":"IF($A406<>\"\",IF(ZOZNAM!Q397=\"\",\"\",ZOZNAM!Q397),\"\")","v":1.5},{"$f":"IF($A406<>\"\",IF(ZOZNAM!R397=\"\",\"\",ZOZNAM!R397),\"\")","v":2},{"$f":"IF($A406<>\"\",IF(ZOZNAM!S397=\"\",\"\",ZOZNAM!S397),\"\")","v":"Začiatočníkom"},{"$f":"IF($A406<>\"\",IF(ZOZNAM!T397=\"\",\"\",ZOZNAM!T397),\"\")","v":"Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C398)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C398)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C398)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C398)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C398)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C398)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L398)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L398)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L398)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L398)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L398)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L398)),FALSE))),ZOZNAM!G398>=$C$9),ZOZNAM!A398,\"\")","v":"AC226"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!B398=\"\",\"\",ZOZNAM!B398),\"\")","v":"ACREA CR"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!C398=\"\",\"\",ZOZNAM!C398),\"\")","v":"Regresní analýza I"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!D398=\"\",\"\",ZOZNAM!D398),\"\")","v":"Praha, Česko"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!E398=\"\",\"\",ZOZNAM!E398),\"\")","v":1},{"$f":"IF($A407<>\"\",IF(ZOZNAM!F398=\"\",\"\",ZOZNAM!F398),\"\")","v":1},{"$f":"IF($A407<>\"\",IF(ZOZNAM!G398=\"\",\"\",ZOZNAM!G398),\"\")","v":"2020-04-28"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!H398=\"\",\"\",ZOZNAM!H398),\"\")","v":"2020-04-28"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!I398=\"\",\"\",ZOZNAM!I398),\"\")","v":"200 EUR"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!J398=\"\",\"\",ZOZNAM!J398),\"\")","v":""},{"$f":"IF($A407<>\"\",IF(ZOZNAM!K398=\"\",\"\",ZOZNAM!K398),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!L398=\"\",\"\",ZOZNAM!L398),\"\")","v":"This course includes models of one-dimensional and multi-dimensional linear regression analysis for numeric variables. Emphasis is on the importance and construction of the basic model, tests of hypotheses on its parameters and on the selection of suitable predictors using automatic procedures. Course also includes:\n-\ta simple equation model with one independent variable\n-\tpoint two-dimensional graph; correlation and linear regression equation (line)\n-\tproperties of simple linear regression, principle of least squares method\n-\thypothesis tests and straight line parameter estimation, determination coefficient\n-\tresidues and simple residual analysis\n-\tmodels of nonlinear relations - curves convertible to linearity\n-\texplanation and prediction by regression equation\n-\tmultiple linear regression model - extension to multiple independent variables\n-\tthe meaning of the equation results and parameters\n-\ttesting parameters and testing the significance of the relationship\n-\tsequential procedures for determining predictors\n\n"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!M398=\"\",\"\",ZOZNAM!M398),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + 21% DPH za 3 kurzy\n"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!N398=\"\",\"\",ZOZNAM!N398),\"\")","v":"nie"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!O398=\"\",\"\",ZOZNAM!O398),\"\")","v":"nie"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!P398=\"\",\"\",ZOZNAM!P398),\"\")","v":1.9},{"$f":"IF($A407<>\"\",IF(ZOZNAM!Q398=\"\",\"\",ZOZNAM!Q398),\"\")","v":2},{"$f":"IF($A407<>\"\",IF(ZOZNAM!R398=\"\",\"\",ZOZNAM!R398),\"\")","v":2},{"$f":"IF($A407<>\"\",IF(ZOZNAM!S398=\"\",\"\",ZOZNAM!S398),\"\")","v":"Pokročilým"},{"$f":"IF($A407<>\"\",IF(ZOZNAM!T398=\"\",\"\",ZOZNAM!T398),\"\")","v":"Pre absolvovanie kurzu je nutná znalosť korelačnej analýzy príp. absolvovanie kurzu Korelační analýza. Kurz splnil očakávania a rozšíril znalosti aj mimo pracovej náplne hodnotiteľov. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C399)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C399)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C399)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C399)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C399)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C399)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L399)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L399)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L399)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L399)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L399)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L399)),FALSE))),ZOZNAM!G399>=$C$9),ZOZNAM!A399,\"\")","v":"AC227"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!B399=\"\",\"\",ZOZNAM!B399),\"\")","v":"ACREA CR"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!C399=\"\",\"\",ZOZNAM!C399),\"\")","v":"Regresní analýza II"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!D399=\"\",\"\",ZOZNAM!D399),\"\")","v":"Praha, Česko"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!E399=\"\",\"\",ZOZNAM!E399),\"\")","v":1},{"$f":"IF($A408<>\"\",IF(ZOZNAM!F399=\"\",\"\",ZOZNAM!F399),\"\")","v":1},{"$f":"IF($A408<>\"\",IF(ZOZNAM!G399=\"\",\"\",ZOZNAM!G399),\"\")","v":"2020-04-29"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!H399=\"\",\"\",ZOZNAM!H399),\"\")","v":"2020-04-29"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!I399=\"\",\"\",ZOZNAM!I399),\"\")","v":"200 EUR"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!J399=\"\",\"\",ZOZNAM!J399),\"\")","v":""},{"$f":"IF($A408<>\"\",IF(ZOZNAM!K399=\"\",\"\",ZOZNAM!K399),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!L399=\"\",\"\",ZOZNAM!L399),\"\")","v":"This course deals with verification of correctness and suitability of linear regression model. It extends the model possibilities for refining the description of relationships and offers a diagnostic-predictive apparatus. It deals with categorized predictors and analysis of their influence on dependent variable, nonlinear and interaction members in the equation. Methods of model evaluation by means of residues and characteristics of influence of individual observations. Predictive role of regression equations and valuation of their prediction force so that the resulting equations correspond to the data reality."},{"$f":"IF($A408<>\"\",IF(ZOZNAM!M399=\"\",\"\",ZOZNAM!M399),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + 21% DPH za 3 kurzy\n"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!N399=\"\",\"\",ZOZNAM!N399),\"\")","v":"nie"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!O399=\"\",\"\",ZOZNAM!O399),\"\")","v":"nie"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!P399=\"\",\"\",ZOZNAM!P399),\"\")","v":1.9},{"$f":"IF($A408<>\"\",IF(ZOZNAM!Q399=\"\",\"\",ZOZNAM!Q399),\"\")","v":2},{"$f":"IF($A408<>\"\",IF(ZOZNAM!R399=\"\",\"\",ZOZNAM!R399),\"\")","v":2},{"$f":"IF($A408<>\"\",IF(ZOZNAM!S399=\"\",\"\",ZOZNAM!S399),\"\")","v":"Pokročilým"},{"$f":"IF($A408<>\"\",IF(ZOZNAM!T399=\"\",\"\",ZOZNAM!T399),\"\")","v":"Kurz by si zaslúžil väčší časový prídel. Pre využitie kurzu je ideálne, ak zamestnanec pracuje pravidelne s SPSS a so štatistickými modelmi."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C400)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C400)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C400)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C400)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C400)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C400)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L400)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L400)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L400)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L400)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L400)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L400)),FALSE))),ZOZNAM!G400>=$C$9),ZOZNAM!A400,\"\")","v":"AC219"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!B400=\"\",\"\",ZOZNAM!B400),\"\")","v":"ACREA CR"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!C400=\"\",\"\",ZOZNAM!C400),\"\")","v":"Faktorová analýza"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!D400=\"\",\"\",ZOZNAM!D400),\"\")","v":"Praha, Česko"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!E400=\"\",\"\",ZOZNAM!E400),\"\")","v":1},{"$f":"IF($A409<>\"\",IF(ZOZNAM!F400=\"\",\"\",ZOZNAM!F400),\"\")","v":1},{"$f":"IF($A409<>\"\",IF(ZOZNAM!G400=\"\",\"\",ZOZNAM!G400),\"\")","v":"2020-05-12"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!H400=\"\",\"\",ZOZNAM!H400),\"\")","v":"2020-05-12"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!I400=\"\",\"\",ZOZNAM!I400),\"\")","v":"200 EUR"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!J400=\"\",\"\",ZOZNAM!J400),\"\")","v":""},{"$f":"IF($A409<>\"\",IF(ZOZNAM!K400=\"\",\"\",ZOZNAM!K400),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/faktorova-analyza/"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!L400=\"\",\"\",ZOZNAM!L400),\"\")","v":"Learning outcomes of the course unit The aim of the course is to acquaint participants with the practical use of methods of factor analysis. Emphasis is placed on understanding and interpretation of results. Mathematical aspects of the model and algorithms are not included in the course unless it is necessary to practice the method.\n\n\n\nCOURSE PROGRAM\n\n\n\norigin of factor analysis as a psychometric model (historical notes)\nexplanation of variability and correlation structure of measured variables using system internal factors\nidentification of correlation dimensions and correlation clusters, data correlation\nlatent and manifest variables, indication of latent properties\nFA equation: known and unknown variables and parameters in the FA model\nmeasurement of latent variable values\nexistence and (in) uniqueness of the solution\nmain solution extraction - main component method (and other methods)\nmeaning of estimated parameters and interpretation of factors\nrotation of factors - selection of interpretable solution (simple structure)\nestimation of unknown factor values ​​for each unit\nuse of factors in further data analysis"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!M400=\"\",\"\",ZOZNAM!M400),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 8 960 Kč / 320 € + 21% DPH za 2 kurzy"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!N400=\"\",\"\",ZOZNAM!N400),\"\")","v":"nie"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!O400=\"\",\"\",ZOZNAM!O400),\"\")","v":"nie"},{"$f":"IF($A409<>\"\",IF(ZOZNAM!P400=\"\",\"\",ZOZNAM!P400),\"\")","v":1.9},{"$f":"IF($A409<>\"\",IF(ZOZNAM!Q400=\"\",\"\",ZOZNAM!Q400),\"\")","v":""},{"$f":"IF($A409<>\"\",IF(ZOZNAM!R400=\"\",\"\",ZOZNAM!R400),\"\")","v":""},{"$f":"IF($A409<>\"\",IF(ZOZNAM!S400=\"\",\"\",ZOZNAM!S400),\"\")","v":""},{"$f":"IF($A409<>\"\",IF(ZOZNAM!T400=\"\",\"\",ZOZNAM!T400),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C401)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C401)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C401)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C401)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C401)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C401)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L401)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L401)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L401)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L401)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L401)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L401)),FALSE))),ZOZNAM!G401>=$C$9),ZOZNAM!A401,\"\")","v":"AC228"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!B401=\"\",\"\",ZOZNAM!B401),\"\")","v":"ACREA CR"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!C401=\"\",\"\",ZOZNAM!C401),\"\")","v":"Seskupovací (klastrová) analýza"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!D401=\"\",\"\",ZOZNAM!D401),\"\")","v":"Praha, Česko"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!E401=\"\",\"\",ZOZNAM!E401),\"\")","v":1},{"$f":"IF($A410<>\"\",IF(ZOZNAM!F401=\"\",\"\",ZOZNAM!F401),\"\")","v":1},{"$f":"IF($A410<>\"\",IF(ZOZNAM!G401=\"\",\"\",ZOZNAM!G401),\"\")","v":"2020-05-13"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!H401=\"\",\"\",ZOZNAM!H401),\"\")","v":"2020-05-13"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!I401=\"\",\"\",ZOZNAM!I401),\"\")","v":"200 EUR"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!J401=\"\",\"\",ZOZNAM!J401),\"\")","v":""},{"$f":"IF($A410<>\"\",IF(ZOZNAM!K401=\"\",\"\",ZOZNAM!K401),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/seskupovaci-analyza/"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!L401=\"\",\"\",ZOZNAM!L401),\"\")","v":"Cílem kurzu je seznámit posluchače s principy základních seskupovacích metod (hierarchické seskupování, K means a dvoustupňové seskupování) a ukázat možnosti jejich využití. Důraz je kladen na praktické aplikace metod, na porozumění a interpretaci výsledků a výběr vhodné metody pro daný problém. Matematické aspekty modelu a algoritmů jsou zahrnuty pouze pro vysvětlení významu a principů seskupování.\n\n\n\nPROGRAM KURZU\n\n\n\npodobnost/vzdálenost datových profilů\nrůzné typy měr vzdálenosti resp. podobnosti dat\nstandardizovaná a nestandardizovaná data, význam standardizace při aplikaci měr\nvytváření homogenních skupin pomocí vzdáleností\nhierarchické seskupování: princip, kritéria tvorby skupin, vyhodnocování\nmetoda K-means\ndvoustupňové seskupování\nvolba počtu skupin\nvyužití pro další analýzu\n"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!M401=\"\",\"\",ZOZNAM!M401),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 8 960 Kč / 320 € + 21% DPH za 2 kurzy\n"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!N401=\"\",\"\",ZOZNAM!N401),\"\")","v":"nie"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!O401=\"\",\"\",ZOZNAM!O401),\"\")","v":"nie"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!P401=\"\",\"\",ZOZNAM!P401),\"\")","v":1.9},{"$f":"IF($A410<>\"\",IF(ZOZNAM!Q401=\"\",\"\",ZOZNAM!Q401),\"\")","v":1},{"$f":"IF($A410<>\"\",IF(ZOZNAM!R401=\"\",\"\",ZOZNAM!R401),\"\")","v":2},{"$f":"IF($A410<>\"\",IF(ZOZNAM!S401=\"\",\"\",ZOZNAM!S401),\"\")","v":"Pokročilým"},{"$f":"IF($A410<>\"\",IF(ZOZNAM!T401=\"\",\"\",ZOZNAM!T401),\"\")","v":"Teoretické vedomosti boli vhodne vyvážené praktickými cvičeniami. Príklady sa zameriavali na komerčnú prax - telefónne spoločnosti, poisťovne, životnú úroveň, atď. využívaný bol SW IBM, čo účastníci považovali za nevýhodu kurzu (nepoužívajú ho na pracovisku)."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C402)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C402)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C402)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C402)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C402)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C402)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L402)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L402)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L402)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L402)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L402)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L402)),FALSE))),ZOZNAM!G402>=$C$9),ZOZNAM!A402,\"\")","v":"AC224"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!B402=\"\",\"\",ZOZNAM!B402),\"\")","v":"ACREA CR"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!C402=\"\",\"\",ZOZNAM!C402),\"\")","v":"Mnohorozměrné škálování"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!D402=\"\",\"\",ZOZNAM!D402),\"\")","v":"Praha, Česko"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!E402=\"\",\"\",ZOZNAM!E402),\"\")","v":1},{"$f":"IF($A411<>\"\",IF(ZOZNAM!F402=\"\",\"\",ZOZNAM!F402),\"\")","v":1},{"$f":"IF($A411<>\"\",IF(ZOZNAM!G402=\"\",\"\",ZOZNAM!G402),\"\")","v":"2020-06-01"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!H402=\"\",\"\",ZOZNAM!H402),\"\")","v":"2020-06-01"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!I402=\"\",\"\",ZOZNAM!I402),\"\")","v":"200 EUR"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!J402=\"\",\"\",ZOZNAM!J402),\"\")","v":""},{"$f":"IF($A411<>\"\",IF(ZOZNAM!K402=\"\",\"\",ZOZNAM!K402),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/mnohorozmerne-skalovani/"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!L402=\"\",\"\",ZOZNAM!L402),\"\")","v":"The aim is to acquaint students with a very popular graphical method of describing relationships and its application in various practical situations. Students will acquire sufficient knowledge for independent use of the method in their own analyzes.\n\n\n\nCOURSE PROGRAM\n\n\n\nobjects and their multivariate characteristics\nprofiles and their comparison - profile graphs, profile relationships\nproximity notion: measures of similarity; distance / metric\ntwo-dimensional and three-dimensional profile display - relational map\napproximation of multidimensional profiles with two (three) dimensional image\ngraphical outputs and typology\nassociation of variables - proximity in space of properties\ngraph of relationships between variables\nnon-parametric (non-metric) factor analysis\n\n\n\nPROGRAM KURZU\n\n\n\nobjekty a jejich mnohorozměrná charakteristika\nprofily a jejich komparace – profilové grafy, vztahy profilů\npojem proximity: míry ne/podobnosti; vzdálenost/metrika\nzobrazení dvojrozměrného a trojrozměrného profilu – relační mapa\naproximace vícerozměrných profilů dvoj(troj)rozměrným obrázkem\ngrafické výstupy a typologie\nasociace proměnných – blízkost v prostoru vlastností\ngraf vztahů mezi proměnnými\nneparametrická (nemetrická) faktorová analýza\n"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!M402=\"\",\"\",ZOZNAM!M402),\"\")","v":""},{"$f":"IF($A411<>\"\",IF(ZOZNAM!N402=\"\",\"\",ZOZNAM!N402),\"\")","v":"nie"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!O402=\"\",\"\",ZOZNAM!O402),\"\")","v":"nie"},{"$f":"IF($A411<>\"\",IF(ZOZNAM!P402=\"\",\"\",ZOZNAM!P402),\"\")","v":1.9},{"$f":"IF($A411<>\"\",IF(ZOZNAM!Q402=\"\",\"\",ZOZNAM!Q402),\"\")","v":""},{"$f":"IF($A411<>\"\",IF(ZOZNAM!R402=\"\",\"\",ZOZNAM!R402),\"\")","v":""},{"$f":"IF($A411<>\"\",IF(ZOZNAM!S402=\"\",\"\",ZOZNAM!S402),\"\")","v":""},{"$f":"IF($A411<>\"\",IF(ZOZNAM!T402=\"\",\"\",ZOZNAM!T402),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C404)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C404)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C404)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C404)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C404)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C404)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L404)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L404)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L404)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L404)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L404)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L404)),FALSE))),ZOZNAM!G404>=$C$9),ZOZNAM!A404,\"\")","v":"SM002"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!B404=\"\",\"\",ZOZNAM!B404),\"\")","v":"University of Southampton"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!C404=\"\",\"\",ZOZNAM!C404),\"\")","v":"QGIS: Advanced"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!D404=\"\",\"\",ZOZNAM!D404),\"\")","v":"Southampton, Veľká Británia"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!E404=\"\",\"\",ZOZNAM!E404),\"\")","v":2},{"$f":"IF($A413<>\"\",IF(ZOZNAM!F404=\"\",\"\",ZOZNAM!F404),\"\")","v":2},{"$f":"IF($A413<>\"\",IF(ZOZNAM!G404=\"\",\"\",ZOZNAM!G404),\"\")","v":"2020-06-16"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!H404=\"\",\"\",ZOZNAM!H404),\"\")","v":"2020-06-17"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!I404=\"\",\"\",ZOZNAM!I404),\"\")","v":"425 GBP + VAT (490 EUR + VAT)"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!J404=\"\",\"\",ZOZNAM!J404),\"\")","v":""},{"$f":"IF($A413<>\"\",IF(ZOZNAM!K404=\"\",\"\",ZOZNAM!K404),\"\")","v":"https://www.geodata.soton.ac.uk/geodata/training/GeoData_AdvQGIS.pdf"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!L404=\"\",\"\",ZOZNAM!L404),\"\")","v":"This course builds on the delegates existing knowledge of QGIS. It comprises a series of presentations and computer practical sessions using free open source GIS software. "},{"$f":"IF($A413<>\"\",IF(ZOZNAM!M404=\"\",\"\",ZOZNAM!M404),\"\")","v":""},{"$f":"IF($A413<>\"\",IF(ZOZNAM!N404=\"\",\"\",ZOZNAM!N404),\"\")","v":"nie"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!O404=\"\",\"\",ZOZNAM!O404),\"\")","v":"nie"},{"$f":"IF($A413<>\"\",IF(ZOZNAM!P404=\"\",\"\",ZOZNAM!P404),\"\")","v":""},{"$f":"IF($A413<>\"\",IF(ZOZNAM!Q404=\"\",\"\",ZOZNAM!Q404),\"\")","v":""},{"$f":"IF($A413<>\"\",IF(ZOZNAM!R404=\"\",\"\",ZOZNAM!R404),\"\")","v":""},{"$f":"IF($A413<>\"\",IF(ZOZNAM!S404=\"\",\"\",ZOZNAM!S404),\"\")","v":""},{"$f":"IF($A413<>\"\",IF(ZOZNAM!T404=\"\",\"\",ZOZNAM!T404),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C406)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C406)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C406)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C406)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C406)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C406)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L406)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L406)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L406)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L406)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L406)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L406)),FALSE))),ZOZNAM!G406>=$C$9),ZOZNAM!A406,\"\")","v":"CM005"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!B406=\"\",\"\",ZOZNAM!B406),\"\")","v":"Cemmap"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!C406=\"\",\"\",ZOZNAM!C406),\"\")","v":"Partial identification in practice"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!D406=\"\",\"\",ZOZNAM!D406),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!E406=\"\",\"\",ZOZNAM!E406),\"\")","v":2},{"$f":"IF($A415<>\"\",IF(ZOZNAM!F406=\"\",\"\",ZOZNAM!F406),\"\")","v":2},{"$f":"IF($A415<>\"\",IF(ZOZNAM!G406=\"\",\"\",ZOZNAM!G406),\"\")","v":"2020-06-22"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!H406=\"\",\"\",ZOZNAM!H406),\"\")","v":"2020-06-23"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!I406=\"\",\"\",ZOZNAM!I406),\"\")","v":"440 GBP"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!J406=\"\",\"\",ZOZNAM!J406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!K406=\"\",\"\",ZOZNAM!K406),\"\")","v":"https://www.cemmap.ac.uk/event/id/1713"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!L406=\"\",\"\",ZOZNAM!L406),\"\")","v":"Partial identification allows applied researchers to learn about parameters of interest without requiring them to make assumptions that guarantee point identification. This course offers applied researchers an introduction to partial identification and its use in empirical work in economics. Techniques for performing estimation and inference will be demonstrated along the way, using a combination of STATA and MATLAB routines. At the end of the course participants should expect to have an understanding of how partially identifying models been employed successfully in applications, what features of these applications have contributed to their success, and what tools are currently available for their use in further applications."},{"$f":"IF($A415<>\"\",IF(ZOZNAM!M406=\"\",\"\",ZOZNAM!M406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!N406=\"\",\"\",ZOZNAM!N406),\"\")","v":"nie"},{"$f":"IF($A415<>\"\",IF(ZOZNAM!O406=\"\",\"\",ZOZNAM!O406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!P406=\"\",\"\",ZOZNAM!P406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!Q406=\"\",\"\",ZOZNAM!Q406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!R406=\"\",\"\",ZOZNAM!R406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!S406=\"\",\"\",ZOZNAM!S406),\"\")","v":""},{"$f":"IF($A415<>\"\",IF(ZOZNAM!T406=\"\",\"\",ZOZNAM!T406),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C407)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C407)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C407)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C407)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C407)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C407)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L407)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L407)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L407)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L407)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L407)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L407)),FALSE))),ZOZNAM!G407>=$C$9),ZOZNAM!A407,\"\")","v":"CE168"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!B407=\"\",\"\",ZOZNAM!B407),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!C407=\"\",\"\",ZOZNAM!C407),\"\")","v":"Estimating the Tax Gap"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!D407=\"\",\"\",ZOZNAM!D407),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!E407=\"\",\"\",ZOZNAM!E407),\"\")","v":3},{"$f":"IF($A416<>\"\",IF(ZOZNAM!F407=\"\",\"\",ZOZNAM!F407),\"\")","v":3},{"$f":"IF($A416<>\"\",IF(ZOZNAM!G407=\"\",\"\",ZOZNAM!G407),\"\")","v":"2020-06-22"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!H407=\"\",\"\",ZOZNAM!H407),\"\")","v":"2020-06-24"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!I407=\"\",\"\",ZOZNAM!I407),\"\")","v":"0 EUR"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!J407=\"\",\"\",ZOZNAM!J407),\"\")","v":""},{"$f":"IF($A416<>\"\",IF(ZOZNAM!K407=\"\",\"\",ZOZNAM!K407),\"\")","v":"https://www.cef-see.org/20-tpa5"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!L407=\"\",\"\",ZOZNAM!L407),\"\")","v":"Participants will be given guidance on how to prepare the necessary inputs into the IMF FAD’s Revenue Administration VAT Gap Analysis Program (RA-GAP). The workshop will focus on how to properly capture the three main inputs into the model: the VAT policy structure, actual VAT revenue data, and national accounts statistical data pertaining to the VAT base. This learning event will mostly consist of hands-on sessions, where participants will be required to prepare data from their countries for entry into the model. A general overview of how to approach gap estimation for other tax types will also be given. All participants will be required to have successfully completed the IMF’s online course on the RA-GAP VAT Gap Estimation Model."},{"$f":"IF($A416<>\"\",IF(ZOZNAM!M407=\"\",\"\",ZOZNAM!M407),\"\")","v":""},{"$f":"IF($A416<>\"\",IF(ZOZNAM!N407=\"\",\"\",ZOZNAM!N407),\"\")","v":"nie"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!O407=\"\",\"\",ZOZNAM!O407),\"\")","v":"nie"},{"$f":"IF($A416<>\"\",IF(ZOZNAM!P407=\"\",\"\",ZOZNAM!P407),\"\")","v":""},{"$f":"IF($A416<>\"\",IF(ZOZNAM!Q407=\"\",\"\",ZOZNAM!Q407),\"\")","v":""},{"$f":"IF($A416<>\"\",IF(ZOZNAM!R407=\"\",\"\",ZOZNAM!R407),\"\")","v":""},{"$f":"IF($A416<>\"\",IF(ZOZNAM!S407=\"\",\"\",ZOZNAM!S407),\"\")","v":""},{"$f":"IF($A416<>\"\",IF(ZOZNAM!T407=\"\",\"\",ZOZNAM!T407),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C408)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C408)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C408)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C408)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C408)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C408)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L408)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L408)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L408)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L408)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L408)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L408)),FALSE))),ZOZNAM!G408>=$C$9),ZOZNAM!A408,\"\")","v":"AE002"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!B408=\"\",\"\",ZOZNAM!B408),\"\")","v":"AdeptEvents"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!C408=\"\",\"\",ZOZNAM!C408),\"\")","v":"Data Warehousing & Business Intelligence Summit"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!D408=\"\",\"\",ZOZNAM!D408),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!E408=\"\",\"\",ZOZNAM!E408),\"\")","v":2},{"$f":"IF($A417<>\"\",IF(ZOZNAM!F408=\"\",\"\",ZOZNAM!F408),\"\")","v":2},{"$f":"IF($A417<>\"\",IF(ZOZNAM!G408=\"\",\"\",ZOZNAM!G408),\"\")","v":"2020-03-25"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!H408=\"\",\"\",ZOZNAM!H408),\"\")","v":"2020-03-26"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!I408=\"\",\"\",ZOZNAM!I408),\"\")","v":"1340 EUR"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!J408=\"\",\"\",ZOZNAM!J408),\"\")","v":""},{"$f":"IF($A417<>\"\",IF(ZOZNAM!K408=\"\",\"\",ZOZNAM!K408),\"\")","v":"https://www.dwbisummit.com/?lang=en"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!L408=\"\",\"\",ZOZNAM!L408),\"\")","v":"This conference offers practical guidelines and do’s and don’ts to help you with these current and impending issues. You will meet well-known speakers and thought leaders from the Netherlands and abroad, including including Wayne Eckerson, Keith McCormick, Dave Wells, Nigel Turner, Egge van der Poel, professor Peter Boncz, Piethein Strengholt, Tim Schulteis, Jeroen Vermunt, Antoine Stelma and Rick van der Lans. This first-class line-up of speakers are ready to share their knowledge and experience with you.\n\nSome topics that will be discussed these days:\n- Concrete approach to cloud data warehousing\n- Successful implementation of self-service analytics and BI\n- DataOps: best practices, trends, tips and techniques\n- Setting up a data integration architecture for the digital future\n- The importance of data preparation with Machine Learning\n- Ten guidelines for modern data architectures\n- Establishing successful data governance processes\n- Experiences with a data lake and an analytics lab\n- Combining Datavault, Ensemble and data virtualisation.\n"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!M408=\"\",\"\",ZOZNAM!M408),\"\")","v":"The Early Bird rate of € 1.139,00 expires  after 31 December 2019"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!N408=\"\",\"\",ZOZNAM!N408),\"\")","v":"nie"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!O408=\"\",\"\",ZOZNAM!O408),\"\")","v":"nie"},{"$f":"IF($A417<>\"\",IF(ZOZNAM!P408=\"\",\"\",ZOZNAM!P408),\"\")","v":1.07},{"$f":"IF($A417<>\"\",IF(ZOZNAM!Q408=\"\",\"\",ZOZNAM!Q408),\"\")","v":""},{"$f":"IF($A417<>\"\",IF(ZOZNAM!R408=\"\",\"\",ZOZNAM!R408),\"\")","v":""},{"$f":"IF($A417<>\"\",IF(ZOZNAM!S408=\"\",\"\",ZOZNAM!S408),\"\")","v":""},{"$f":"IF($A417<>\"\",IF(ZOZNAM!T408=\"\",\"\",ZOZNAM!T408),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C409)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C409)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C409)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C409)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C409)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C409)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L409)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L409)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L409)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L409)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L409)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L409)),FALSE))),ZOZNAM!G409>=$C$9),ZOZNAM!A409,\"\")","v":"AE001"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!B409=\"\",\"\",ZOZNAM!B409),\"\")","v":"AdeptEvents"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!C409=\"\",\"\",ZOZNAM!C409),\"\")","v":"Putting MachineLlearning to Work"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!D409=\"\",\"\",ZOZNAM!D409),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!E409=\"\",\"\",ZOZNAM!E409),\"\")","v":2},{"$f":"IF($A418<>\"\",IF(ZOZNAM!F409=\"\",\"\",ZOZNAM!F409),\"\")","v":2},{"$f":"IF($A418<>\"\",IF(ZOZNAM!G409=\"\",\"\",ZOZNAM!G409),\"\")","v":"2020-03-30"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!H409=\"\",\"\",ZOZNAM!H409),\"\")","v":"2020-03-31"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!I409=\"\",\"\",ZOZNAM!I409),\"\")","v":"1450 EUR"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!J409=\"\",\"\",ZOZNAM!J409),\"\")","v":""},{"$f":"IF($A418<>\"\",IF(ZOZNAM!K409=\"\",\"\",ZOZNAM!K409),\"\")","v":"https://adeptevents.nl/event/machine-learning-workshop?lang=en"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!L409=\"\",\"\",ZOZNAM!L409),\"\")","v":"Translating Organizational Challenges into Supervised & Unsupervised Learning Solutions - This course will demonstrate a variety of examples starting with the exploration and interpretation of candidate models and their applications. Options for acting on results will be explored. You will also observe how a mixture of models including business rules, supervised models, and unsupervised models are used together in real world situations for various problems like insurance and fraud detection.\n"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!M409=\"\",\"\",ZOZNAM!M409),\"\")","v":"The Early Bird rate of € 1.305,00 expires after 29 February 2020."},{"$f":"IF($A418<>\"\",IF(ZOZNAM!N409=\"\",\"\",ZOZNAM!N409),\"\")","v":"nie"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!O409=\"\",\"\",ZOZNAM!O409),\"\")","v":"nie"},{"$f":"IF($A418<>\"\",IF(ZOZNAM!P409=\"\",\"\",ZOZNAM!P409),\"\")","v":1.07},{"$f":"IF($A418<>\"\",IF(ZOZNAM!Q409=\"\",\"\",ZOZNAM!Q409),\"\")","v":""},{"$f":"IF($A418<>\"\",IF(ZOZNAM!R409=\"\",\"\",ZOZNAM!R409),\"\")","v":""},{"$f":"IF($A418<>\"\",IF(ZOZNAM!S409=\"\",\"\",ZOZNAM!S409),\"\")","v":""},{"$f":"IF($A418<>\"\",IF(ZOZNAM!T409=\"\",\"\",ZOZNAM!T409),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C410)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C410)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C410)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C410)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C410)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C410)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L410)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L410)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L410)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L410)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L410)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L410)),FALSE))),ZOZNAM!G410>=$C$9),ZOZNAM!A410,\"\")","v":"AE005"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!B410=\"\",\"\",ZOZNAM!B410),\"\")","v":"AdeptEvents"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!C410=\"\",\"\",ZOZNAM!C410),\"\")","v":"Designing, operating and managing an enterprise data lake"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!D410=\"\",\"\",ZOZNAM!D410),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!E410=\"\",\"\",ZOZNAM!E410),\"\")","v":2},{"$f":"IF($A419<>\"\",IF(ZOZNAM!F410=\"\",\"\",ZOZNAM!F410),\"\")","v":2},{"$f":"IF($A419<>\"\",IF(ZOZNAM!G410=\"\",\"\",ZOZNAM!G410),\"\")","v":"2020-04-21"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!H410=\"\",\"\",ZOZNAM!H410),\"\")","v":"2020-04-22"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!I410=\"\",\"\",ZOZNAM!I410),\"\")","v":"1450 EUR + 21% Dutch VAT"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!J410=\"\",\"\",ZOZNAM!J410),\"\")","v":""},{"$f":"IF($A419<>\"\",IF(ZOZNAM!K410=\"\",\"\",ZOZNAM!K410),\"\")","v":"https://adeptevents.nl/event/data-lake-and-data-refinery?lang=en"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!L410=\"\",\"\",ZOZNAM!L410),\"\")","v":"This 2-day seminar looks at the challenges faced by companies trying to deal with an exploding number of data sources, collecting data in multiple data stores (cloud and on-premises), multiple analytical systems and at the requirements to be able to define, govern, manage and share trusted high quality information in a distributed and hybrid computing environment.  It also explores a new approach of how IT data architects, business users and IT developers can collaborate together in building and managing a logical data lake to get control of your data. This includes data ingestion, automated data discovery, data profiling and tagging and publishing data in an information catalog. It also involves refining raw data to produce enterprise data services that can be published in a catalog available for consumption across your company.  We also introduce multiple data lake configurations including a centralised data lake and a ‘logical’ distributed data lake as well as execution of jobs and governance across multiple data stores. It emphasises the need for a common collaborative process and common approach to governing and managing data of all types."},{"$f":"IF($A419<>\"\",IF(ZOZNAM!M410=\"\",\"\",ZOZNAM!M410),\"\")","v":"The Early Bird rate of € 1.305,00 expires (*) after 22 March 2020. Register now and receive discount!"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!N410=\"\",\"\",ZOZNAM!N410),\"\")","v":"nie"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!O410=\"\",\"\",ZOZNAM!O410),\"\")","v":"nie"},{"$f":"IF($A419<>\"\",IF(ZOZNAM!P410=\"\",\"\",ZOZNAM!P410),\"\")","v":1.07},{"$f":"IF($A419<>\"\",IF(ZOZNAM!Q410=\"\",\"\",ZOZNAM!Q410),\"\")","v":""},{"$f":"IF($A419<>\"\",IF(ZOZNAM!R410=\"\",\"\",ZOZNAM!R410),\"\")","v":""},{"$f":"IF($A419<>\"\",IF(ZOZNAM!S410=\"\",\"\",ZOZNAM!S410),\"\")","v":""},{"$f":"IF($A419<>\"\",IF(ZOZNAM!T410=\"\",\"\",ZOZNAM!T410),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C411)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C411)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C411)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C411)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C411)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C411)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L411)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L411)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L411)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L411)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L411)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L411)),FALSE))),ZOZNAM!G411>=$C$9),ZOZNAM!A411,\"\")","v":"AE004"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!B411=\"\",\"\",ZOZNAM!B411),\"\")","v":"AdeptEvents"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!C411=\"\",\"\",ZOZNAM!C411),\"\")","v":"Agile Data Warehause Design & Dimensional Modeling"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!D411=\"\",\"\",ZOZNAM!D411),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!E411=\"\",\"\",ZOZNAM!E411),\"\")","v":3},{"$f":"IF($A420<>\"\",IF(ZOZNAM!F411=\"\",\"\",ZOZNAM!F411),\"\")","v":3},{"$f":"IF($A420<>\"\",IF(ZOZNAM!G411=\"\",\"\",ZOZNAM!G411),\"\")","v":"2020-05-13"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!H411=\"\",\"\",ZOZNAM!H411),\"\")","v":"2020-05-15"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!I411=\"\",\"\",ZOZNAM!I411),\"\")","v":"1990 EUR"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!J411=\"\",\"\",ZOZNAM!J411),\"\")","v":""},{"$f":"IF($A420<>\"\",IF(ZOZNAM!K411=\"\",\"\",ZOZNAM!K411),\"\")","v":"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!L411=\"\",\"\",ZOZNAM!L411),\"\")","v":"Agile Data Warehouse Design covers step-by-step techniques for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders."},{"$f":"IF($A420<>\"\",IF(ZOZNAM!M411=\"\",\"\",ZOZNAM!M411),\"\")","v":"The Early Bird rate of € 1.791,00 expires (*) after 13 April 2020. Register now and receive discount! "},{"$f":"IF($A420<>\"\",IF(ZOZNAM!N411=\"\",\"\",ZOZNAM!N411),\"\")","v":"nie"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!O411=\"\",\"\",ZOZNAM!O411),\"\")","v":"nie"},{"$f":"IF($A420<>\"\",IF(ZOZNAM!P411=\"\",\"\",ZOZNAM!P411),\"\")","v":1.07},{"$f":"IF($A420<>\"\",IF(ZOZNAM!Q411=\"\",\"\",ZOZNAM!Q411),\"\")","v":""},{"$f":"IF($A420<>\"\",IF(ZOZNAM!R411=\"\",\"\",ZOZNAM!R411),\"\")","v":""},{"$f":"IF($A420<>\"\",IF(ZOZNAM!S411=\"\",\"\",ZOZNAM!S411),\"\")","v":""},{"$f":"IF($A420<>\"\",IF(ZOZNAM!T411=\"\",\"\",ZOZNAM!T411),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C412)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C412)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C412)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C412)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C412)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C412)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L412)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L412)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L412)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L412)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L412)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L412)),FALSE))),ZOZNAM!G412>=$C$9),ZOZNAM!A412,\"\")","v":"AE003"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!B412=\"\",\"\",ZOZNAM!B412),\"\")","v":"AdeptEvents"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!C412=\"\",\"\",ZOZNAM!C412),\"\")","v":"Working with Bussiness Processes"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!D412=\"\",\"\",ZOZNAM!D412),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!E412=\"\",\"\",ZOZNAM!E412),\"\")","v":2},{"$f":"IF($A421<>\"\",IF(ZOZNAM!F412=\"\",\"\",ZOZNAM!F412),\"\")","v":2},{"$f":"IF($A421<>\"\",IF(ZOZNAM!G412=\"\",\"\",ZOZNAM!G412),\"\")","v":"2020-06-11"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!H412=\"\",\"\",ZOZNAM!H412),\"\")","v":"2020-06-12"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!I412=\"\",\"\",ZOZNAM!I412),\"\")","v":"1450 EUR"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!J412=\"\",\"\",ZOZNAM!J412),\"\")","v":""},{"$f":"IF($A421<>\"\",IF(ZOZNAM!K412=\"\",\"\",ZOZNAM!K412),\"\")","v":"https://adeptevents.nl/event/working-with-business-processes?lang=en"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!L412=\"\",\"\",ZOZNAM!L412),\"\")","v":"Proces Change in Agile Timeframes. - Participants will first learn exactly what a “business process” is, the key factors to consider when dealing with them, and the most common pitfalls and how to avoid them. On this foundation, the course moves on to specifying the scope and goals of a business process, modelling the current workflow, assessing it, and applying three critical process redesign techniques.\nCourse Topics:\n\n• Thinking in process terms – concepts, terminology, principles, and techniques\n• A three-phase approach to completing a process-oriented project\n• Framing the process – discovering a business process, and clarifying its purpose and scope\n• Initial assessment of the “as-is” process and goal-setting for the “to-be” process\n• Modelling process workflow – practical tips and techniques for using swimlane diagrams\n• Controlling detail – three levels of workflow model\n• When to stop modelling\n• Applying workflow modelling to the as-is process – facilitating a workflow session\n• Final assessment of the as-is process – a framework for assessment, relation to redesign\n• Characterising the to-be process – generating creative improvements and assessing them\n• Wrap-up – summary, tips, and resources\n"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!M412=\"\",\"\",ZOZNAM!M412),\"\")","v":"The Early Bird rate of € 1.305,00 expires  after 12 May 2020"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!N412=\"\",\"\",ZOZNAM!N412),\"\")","v":"nie"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!O412=\"\",\"\",ZOZNAM!O412),\"\")","v":"nie"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!P412=\"\",\"\",ZOZNAM!P412),\"\")","v":1.07},{"$f":"IF($A421<>\"\",IF(ZOZNAM!Q412=\"\",\"\",ZOZNAM!Q412),\"\")","v":1},{"$f":"IF($A421<>\"\",IF(ZOZNAM!R412=\"\",\"\",ZOZNAM!R412),\"\")","v":3},{"$f":"IF($A421<>\"\",IF(ZOZNAM!S412=\"\",\"\",ZOZNAM!S412),\"\")","v":"Začiatočníkom"},{"$f":"IF($A421<>\"\",IF(ZOZNAM!T412=\"\",\"\",ZOZNAM!T412),\"\")","v":"Nedostatkom kurzu bol nedostatočný priestor na tréning teoretických znalostí v praxi. Pedagógovia boli odborníci."}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C414)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C414)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C414)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C414)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C414)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C414)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L414)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L414)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L414)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L414)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L414)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L414)),FALSE))),ZOZNAM!G414>=$C$9),ZOZNAM!A414,\"\")","v":"PA252"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!B414=\"\",\"\",ZOZNAM!B414),\"\")","v":"Paris School of Economics"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!C414=\"\",\"\",ZOZNAM!C414),\"\")","v":"MICROECONOMETRICS AND POLICY EVALUATION - Modern Estimation Methods and Machine Learning"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!D414=\"\",\"\",ZOZNAM!D414),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!E414=\"\",\"\",ZOZNAM!E414),\"\")","v":5},{"$f":"IF($A423<>\"\",IF(ZOZNAM!F414=\"\",\"\",ZOZNAM!F414),\"\")","v":5},{"$f":"IF($A423<>\"\",IF(ZOZNAM!G414=\"\",\"\",ZOZNAM!G414),\"\")","v":"2020-06-22"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!H414=\"\",\"\",ZOZNAM!H414),\"\")","v":"2020-06-26"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!I414=\"\",\"\",ZOZNAM!I414),\"\")","v":"2000 EUR"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!J414=\"\",\"\",ZOZNAM!J414),\"\")","v":"2020-03-31"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!K414=\"\",\"\",ZOZNAM!K414),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/microeconometrics/"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!L414=\"\",\"\",ZOZNAM!L414),\"\")","v":"The Microeconometrics and Policy Evaluation programme presents recent developments in the microeconomic analysis of impact evaluation. Providing a credible estimation of a causal effect has become a standard in economic analysis, both in research papers and policy reports. But it is also equally important to integrate the estimated effects into economic models, in order to improve the design of policies. The program therefore proposes a comprehensive approach of policy analysis. Students will also attend practical econometrics classes in Stata, according to their level of proficiency (beginners versus intermediate)."},{"$f":"IF($A423<>\"\",IF(ZOZNAM!M414=\"\",\"\",ZOZNAM!M414),\"\")","v":"A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!N414=\"\",\"\",ZOZNAM!N414),\"\")","v":"nie"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!O414=\"\",\"\",ZOZNAM!O414),\"\")","v":"nie"},{"$f":"IF($A423<>\"\",IF(ZOZNAM!P414=\"\",\"\",ZOZNAM!P414),\"\")","v":1},{"$f":"IF($A423<>\"\",IF(ZOZNAM!Q414=\"\",\"\",ZOZNAM!Q414),\"\")","v":""},{"$f":"IF($A423<>\"\",IF(ZOZNAM!R414=\"\",\"\",ZOZNAM!R414),\"\")","v":""},{"$f":"IF($A423<>\"\",IF(ZOZNAM!S414=\"\",\"\",ZOZNAM!S414),\"\")","v":""},{"$f":"IF($A423<>\"\",IF(ZOZNAM!T414=\"\",\"\",ZOZNAM!T414),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C419)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C419)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C419)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C419)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C419)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C419)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L419)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L419)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L419)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L419)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L419)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L419)),FALSE))),ZOZNAM!G419>=$C$9),ZOZNAM!A419,\"\")","v":"BA202"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!B419=\"\",\"\",ZOZNAM!B419),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!C419=\"\",\"\",ZOZNAM!C419),\"\")","v":"Empirical measurements of market power and competition"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!D419=\"\",\"\",ZOZNAM!D419),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!E419=\"\",\"\",ZOZNAM!E419),\"\")","v":3},{"$f":"IF($A428<>\"\",IF(ZOZNAM!F419=\"\",\"\",ZOZNAM!F419),\"\")","v":3},{"$f":"IF($A428<>\"\",IF(ZOZNAM!G419=\"\",\"\",ZOZNAM!G419),\"\")","v":"2020-05-13"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!H419=\"\",\"\",ZOZNAM!H419),\"\")","v":"2020-05-15"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!I419=\"\",\"\",ZOZNAM!I419),\"\")","v":"3000 EUR"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!J419=\"\",\"\",ZOZNAM!J419),\"\")","v":""},{"$f":"IF($A428<>\"\",IF(ZOZNAM!K419=\"\",\"\",ZOZNAM!K419),\"\")","v":"https://www.barcelonagse.eu/study/professional-courses/quantitative-competition-analysis"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!L419=\"\",\"\",ZOZNAM!L419),\"\")","v":"A team of leading academics and practitioners will walk you through the latest methods for analyzing competition cases.\nThe Barcelona GSE Intensive Course on Quantitative Methods for Competition Analysis provides participants (economists, lawyers and practitioners working for firms or in agencies) with a thorough understanding of recent empirical methods to measure market power and competition, with applications to market definition, merger analysis and damages from anticompetitive conduct.\nThe program’s faculty includes some of the leading academic economists in the area of industrial organization and competition policy, and practitioners with extensive experience on quantitative methods in competition cases.\nKey benefits\n◾Review established and recent quantitative methods for competition analysis, with a proper balance between techniques and interpretation also accessible to non-economists.\n◾Learn about the practical considerations to apply techniques, based on the lessons from various recent cases where quantitative techniques have been applied.\n◾Learn to interpret and critically evaluate the empirical results from different approaches.\n◾Develop a good common sense of the advantages and disadvantages of different approaches, and the circumstances under which they are (not) suitable.\n◾Acquire a thorough understanding of the data requirements for applying various techniques.\n◾Three practice sessions illustrate how to implement the econometric techniques with standard software (Stata), covering demand estimation, merger simulation and treatment effects.\n"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!M419=\"\",\"\",ZOZNAM!M419),\"\")","v":"Early-bird Registration and Payment  (until 14 April 2020) 2400€"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!N419=\"\",\"\",ZOZNAM!N419),\"\")","v":"nie"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!O419=\"\",\"\",ZOZNAM!O419),\"\")","v":"nie"},{"$f":"IF($A428<>\"\",IF(ZOZNAM!P419=\"\",\"\",ZOZNAM!P419),\"\")","v":1.99},{"$f":"IF($A428<>\"\",IF(ZOZNAM!Q419=\"\",\"\",ZOZNAM!Q419),\"\")","v":""},{"$f":"IF($A428<>\"\",IF(ZOZNAM!R419=\"\",\"\",ZOZNAM!R419),\"\")","v":""},{"$f":"IF($A428<>\"\",IF(ZOZNAM!S419=\"\",\"\",ZOZNAM!S419),\"\")","v":""},{"$f":"IF($A428<>\"\",IF(ZOZNAM!T419=\"\",\"\",ZOZNAM!T419),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C420)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C420)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C420)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C420)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C420)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C420)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L420)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L420)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L420)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L420)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L420)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L420)),FALSE))),ZOZNAM!G420>=$C$9),ZOZNAM!A420,\"\")","v":"CL005"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!B420=\"\",\"\",ZOZNAM!B420),\"\")","v":"University College London (UCL)"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!C420=\"\",\"\",ZOZNAM!C420),\"\")","v":"ANOVA: General Linear Models (GLMs) with SPSS"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!D420=\"\",\"\",ZOZNAM!D420),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!E420=\"\",\"\",ZOZNAM!E420),\"\")","v":1},{"$f":"IF($A429<>\"\",IF(ZOZNAM!F420=\"\",\"\",ZOZNAM!F420),\"\")","v":1},{"$f":"IF($A429<>\"\",IF(ZOZNAM!G420=\"\",\"\",ZOZNAM!G420),\"\")","v":"2020-06-22"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!H420=\"\",\"\",ZOZNAM!H420),\"\")","v":"2020-06-22"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!I420=\"\",\"\",ZOZNAM!I420),\"\")","v":"200 GBP (230 EUR)"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!J420=\"\",\"\",ZOZNAM!J420),\"\")","v":""},{"$f":"IF($A429<>\"\",IF(ZOZNAM!K420=\"\",\"\",ZOZNAM!K420),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/anova-general-linear-models-glms-spss"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!L420=\"\",\"\",ZOZNAM!L420),\"\")","v":"This one-day course on analysis of variance (ANOVA) takes a hands-on approach to learning. ANOVA is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity and control for other numeric variables.\n\nYou'll be introduced to the underlying principles of ANOVA and the extensions and applications of this type of statistical analysis are discussed.\n\nThe structure, application and interpretation of the following models will be covered:\n\none-way ANOVA\nfactorial ANOVA\nunivariate ANOVA\nmultivariate ANOVA\nrepeated measures ANOVA\n\nYou'll learn how to choose, run, interpret and report a variety of ANOVA models available in SPSS within the general linear model (GLM) function.\n\nSPSS software will be used for demonstration and practice throughout."},{"$f":"IF($A429<>\"\",IF(ZOZNAM!M420=\"\",\"\",ZOZNAM!M420),\"\")","v":"Prices include printed course materials, refreshments (and lunch for non-ICH  participants)."},{"$f":"IF($A429<>\"\",IF(ZOZNAM!N420=\"\",\"\",ZOZNAM!N420),\"\")","v":"nie"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!O420=\"\",\"\",ZOZNAM!O420),\"\")","v":"nie"},{"$f":"IF($A429<>\"\",IF(ZOZNAM!P420=\"\",\"\",ZOZNAM!P420),\"\")","v":""},{"$f":"IF($A429<>\"\",IF(ZOZNAM!Q420=\"\",\"\",ZOZNAM!Q420),\"\")","v":""},{"$f":"IF($A429<>\"\",IF(ZOZNAM!R420=\"\",\"\",ZOZNAM!R420),\"\")","v":""},{"$f":"IF($A429<>\"\",IF(ZOZNAM!S420=\"\",\"\",ZOZNAM!S420),\"\")","v":""},{"$f":"IF($A429<>\"\",IF(ZOZNAM!T420=\"\",\"\",ZOZNAM!T420),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C421)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C421)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C421)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C421)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C421)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C421)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L421)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L421)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L421)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L421)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L421)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L421)),FALSE))),ZOZNAM!G421>=$C$9),ZOZNAM!A421,\"\")","v":"CL023"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!B421=\"\",\"\",ZOZNAM!B421),\"\")","v":"University College London (UCL)"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!C421=\"\",\"\",ZOZNAM!C421),\"\")","v":"ANOVA: General Linear Models (GLMs) with SPSS"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!D421=\"\",\"\",ZOZNAM!D421),\"\")","v":"Online"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!E421=\"\",\"\",ZOZNAM!E421),\"\")","v":1},{"$f":"IF($A430<>\"\",IF(ZOZNAM!F421=\"\",\"\",ZOZNAM!F421),\"\")","v":1},{"$f":"IF($A430<>\"\",IF(ZOZNAM!G421=\"\",\"\",ZOZNAM!G421),\"\")","v":"2020-06-22"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!H421=\"\",\"\",ZOZNAM!H421),\"\")","v":"2020-06-22"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!I421=\"\",\"\",ZOZNAM!I421),\"\")","v":"200 GBP"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!J421=\"\",\"\",ZOZNAM!J421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!K421=\"\",\"\",ZOZNAM!K421),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/anova-general-linear-models-glms-spss"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!L421=\"\",\"\",ZOZNAM!L421),\"\")","v":"ANOVA is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity and control for other numeric variables.\n\nYou'll be introduced to the underlying principles of ANOVA and the extensions and applications of this type of statistical analysis are discussed.\n\nThe structure, application and interpretation of the following models will be covered:\n\none-way ANOVA\nfactorial ANOVA\nunivariate ANOVA\nmultivariate ANOVA\nrepeated measures ANOVA\nThe conceptual basis of this course is applicable to other statistical packages, but practical elements of the course are conducted using SPSS. Example datasets are provided for you to perform analyses on."},{"$f":"IF($A430<>\"\",IF(ZOZNAM!M421=\"\",\"\",ZOZNAM!M421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!N421=\"\",\"\",ZOZNAM!N421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!O421=\"\",\"\",ZOZNAM!O421),\"\")","v":"nie"},{"$f":"IF($A430<>\"\",IF(ZOZNAM!P421=\"\",\"\",ZOZNAM!P421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!Q421=\"\",\"\",ZOZNAM!Q421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!R421=\"\",\"\",ZOZNAM!R421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!S421=\"\",\"\",ZOZNAM!S421),\"\")","v":""},{"$f":"IF($A430<>\"\",IF(ZOZNAM!T421=\"\",\"\",ZOZNAM!T421),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C422)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C422)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C422)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C422)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C422)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C422)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L422)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L422)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L422)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L422)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L422)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L422)),FALSE))),ZOZNAM!G422>=$C$9),ZOZNAM!A422,\"\")","v":"OU013"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!B422=\"\",\"\",ZOZNAM!B422),\"\")","v":"University of Oxford"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!C422=\"\",\"\",ZOZNAM!C422),\"\")","v":"Introducing Mapping, Spatial Data and GIS (Online)"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!D422=\"\",\"\",ZOZNAM!D422),\"\")","v":"Online"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!E422=\"\",\"\",ZOZNAM!E422),\"\")","v":54},{"$f":"IF($A431<>\"\",IF(ZOZNAM!F422=\"\",\"\",ZOZNAM!F422),\"\")","v":75},{"$f":"IF($A431<>\"\",IF(ZOZNAM!G422=\"\",\"\",ZOZNAM!G422),\"\")","v":"2020-06-22"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!H422=\"\",\"\",ZOZNAM!H422),\"\")","v":"2020-09-04"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!I422=\"\",\"\",ZOZNAM!I422),\"\")","v":"300 GBP"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!J422=\"\",\"\",ZOZNAM!J422),\"\")","v":""},{"$f":"IF($A431<>\"\",IF(ZOZNAM!K422=\"\",\"\",ZOZNAM!K422),\"\")","v":"https://www.conted.ox.ac.uk/courses/introducing-mapping-spatial-data-and-gis-online?code=O20P349BIV"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!L422=\"\",\"\",ZOZNAM!L422),\"\")","v":"1. What are spatial data and Geographic Information Systems?\nExplore how maps and spatial analysis pervade our world, and consider the use of maps in the media. Install the GIS software and take your first steps in displaying spatial data.\n\n2. Who uses spatial data, maps and GIS, and what for?\nConsider how GIS is used in different industries and leisure activities. Encounter the power and versatility of maps and GIS to illustrate patterns, exploring osprey migration routes in a wildlife case study.\n\n3. Understanding spatial reference systems\nLearn how to refer to the spatial location of objects on the earth’s surface, and understand how this translates to locations on a flat map. View and overlay data from a range of spatial reference systems, based on an archaeological case study of Stonehenge artefacts.\n\n4. Representing spatial features\nGrasp the difference between discrete spatial objects and continuous surfaces, and learn the characteristics of the two primary data formats (vector and raster) which represent them. Practice working with both data types in a resource management case study on an English farm.\n\n5. Interpreting maps\nInterpret the symbols, contours and scale on a topographic map, and learn how to navigate using a compass. Plan travel routes and camping locations for a wilderness hike through Monongahela National Forest, USA, as part of a leisure case study.\n\n6. Working with raster layers\nExperience the power of remotely sensed imagery to visualize environmental patterns. Manipulate raster layers in a disaster relief case study, to assess the extent of catastrophic flooding in Pakistan.\n\n7. Working with vector layers\nGenerate and edit your own vector data by hand-digitizing, and add non-geographic information to your new layers. Extend the Pakistan disaster relief case study by calculating the area affected by flooding.\n\n8. Introduction to symbology and cartography\nExplore the art of cartography, and discuss how to communicate your message to a specific audience. Change the way map features are displayed to identify spatial patterns in health risks in Togo, an international development case study.\n\n9. Making maps\nLearn how the key elements of a map (scale bar, legend, graticule) allow viewers to interpret your map and understand your message. Apply cartographic principles in a tourism case study to create and export your own map of tourist attractions in Melbourne, Australia.\n\n10. Introduction to spatial analysis\nDiscover how the utility of GIS extends far beyond map-making. Explore concepts in spatial analysis that will allow you to create new data, identify patterns, and support future decision-making. Propose the location of a new recycling facility in an urban planning case study."},{"$f":"IF($A431<>\"\",IF(ZOZNAM!M422=\"\",\"\",ZOZNAM!M422),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!N422=\"\",\"\",ZOZNAM!N422),\"\")","v":""},{"$f":"IF($A431<>\"\",IF(ZOZNAM!O422=\"\",\"\",ZOZNAM!O422),\"\")","v":"áno"},{"$f":"IF($A431<>\"\",IF(ZOZNAM!P422=\"\",\"\",ZOZNAM!P422),\"\")","v":""},{"$f":"IF($A431<>\"\",IF(ZOZNAM!Q422=\"\",\"\",ZOZNAM!Q422),\"\")","v":""},{"$f":"IF($A431<>\"\",IF(ZOZNAM!R422=\"\",\"\",ZOZNAM!R422),\"\")","v":""},{"$f":"IF($A431<>\"\",IF(ZOZNAM!S422=\"\",\"\",ZOZNAM!S422),\"\")","v":""},{"$f":"IF($A431<>\"\",IF(ZOZNAM!T422=\"\",\"\",ZOZNAM!T422),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C423)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C423)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C423)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C423)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C423)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C423)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L423)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L423)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L423)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L423)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L423)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L423)),FALSE))),ZOZNAM!G423>=$C$9),ZOZNAM!A423,\"\")","v":"CU012"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!B423=\"\",\"\",ZOZNAM!B423),\"\")","v":"Cranfield University"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!C423=\"\",\"\",ZOZNAM!C423),\"\")","v":"Sustainable Development in Defence Acquisition"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!D423=\"\",\"\",ZOZNAM!D423),\"\")","v":"Shrivenham, Veľká Británia"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!E423=\"\",\"\",ZOZNAM!E423),\"\")","v":2},{"$f":"IF($A432<>\"\",IF(ZOZNAM!F423=\"\",\"\",ZOZNAM!F423),\"\")","v":2},{"$f":"IF($A432<>\"\",IF(ZOZNAM!G423=\"\",\"\",ZOZNAM!G423),\"\")","v":"2020-06-23"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!H423=\"\",\"\",ZOZNAM!H423),\"\")","v":"2020-06-24"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!I423=\"\",\"\",ZOZNAM!I423),\"\")","v":"700 GBP    (612 EUR)"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!J423=\"\",\"\",ZOZNAM!J423),\"\")","v":""},{"$f":"IF($A432<>\"\",IF(ZOZNAM!K423=\"\",\"\",ZOZNAM!K423),\"\")","v":"https://www.cranfield.ac.uk/courses/short/defence-and-security/sustainable-development-in-defence-acquisition"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!L423=\"\",\"\",ZOZNAM!L423),\"\")","v":"Sustainable Development in Defence Acquisition is a two-day introduction to sustainable development, and the MOD’s approach to integrating sustainable development in acquisition. The course covers a brief history of sustainable development, case studies of good sustainable practice, and practical tools to aid implementation of sustainable procurement and sustainable business within the MOD.  The course aims to assist delegates with the MOD’s commitment to deliver Sustainable Development within Defence  Acquisition.By the end of the package/course delegates will be able to: Demonstrate the key challenges of Sustainable Development in defence. Identify discipline boundaries to pursue Sustainable Development.Be aware of the potential strategies to maximise benefits and  minimise or mitigate potential adverse impacts of defence activities. Identify potential challenges, risks and impacts."},{"$f":"IF($A432<>\"\",IF(ZOZNAM!M423=\"\",\"\",ZOZNAM!M423),\"\")","v":""},{"$f":"IF($A432<>\"\",IF(ZOZNAM!N423=\"\",\"\",ZOZNAM!N423),\"\")","v":"nie"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!O423=\"\",\"\",ZOZNAM!O423),\"\")","v":"nie"},{"$f":"IF($A432<>\"\",IF(ZOZNAM!P423=\"\",\"\",ZOZNAM!P423),\"\")","v":""},{"$f":"IF($A432<>\"\",IF(ZOZNAM!Q423=\"\",\"\",ZOZNAM!Q423),\"\")","v":""},{"$f":"IF($A432<>\"\",IF(ZOZNAM!R423=\"\",\"\",ZOZNAM!R423),\"\")","v":""},{"$f":"IF($A432<>\"\",IF(ZOZNAM!S423=\"\",\"\",ZOZNAM!S423),\"\")","v":""},{"$f":"IF($A432<>\"\",IF(ZOZNAM!T423=\"\",\"\",ZOZNAM!T423),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C425)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C425)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C425)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C425)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C425)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C425)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L425)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L425)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L425)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L425)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L425)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L425)),FALSE))),ZOZNAM!G425>=$C$9),ZOZNAM!A425,\"\")","v":"CL024"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!B425=\"\",\"\",ZOZNAM!B425),\"\")","v":"University College London (UCL)"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!C425=\"\",\"\",ZOZNAM!C425),\"\")","v":"R: an Introduction (Evening Course)"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!D425=\"\",\"\",ZOZNAM!D425),\"\")","v":"Online"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!E425=\"\",\"\",ZOZNAM!E425),\"\")","v":2},{"$f":"IF($A434<>\"\",IF(ZOZNAM!F425=\"\",\"\",ZOZNAM!F425),\"\")","v":2},{"$f":"IF($A434<>\"\",IF(ZOZNAM!G425=\"\",\"\",ZOZNAM!G425),\"\")","v":"2020-06-24"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!H425=\"\",\"\",ZOZNAM!H425),\"\")","v":"2020-06-25"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!I425=\"\",\"\",ZOZNAM!I425),\"\")","v":"200 GBP"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!J425=\"\",\"\",ZOZNAM!J425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!K425=\"\",\"\",ZOZNAM!K425),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/r-introduction-evening-course"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!L425=\"\",\"\",ZOZNAM!L425),\"\")","v":"The topics covered using R will include the following:\n\nIntroduction to the R platform and interface\nIntroduction to basic scripting commands\nInput of data sets\nSummary measures\nGraphical displays\nStatistical tests (t-tests)\nAdd-ons and packages in R\nHelp in R\nYou'll be expected to have a basic understanding of common statistical tests and concepts as these won't be taught during this workshop."},{"$f":"IF($A434<>\"\",IF(ZOZNAM!M425=\"\",\"\",ZOZNAM!M425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!N425=\"\",\"\",ZOZNAM!N425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!O425=\"\",\"\",ZOZNAM!O425),\"\")","v":"nie"},{"$f":"IF($A434<>\"\",IF(ZOZNAM!P425=\"\",\"\",ZOZNAM!P425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!Q425=\"\",\"\",ZOZNAM!Q425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!R425=\"\",\"\",ZOZNAM!R425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!S425=\"\",\"\",ZOZNAM!S425),\"\")","v":""},{"$f":"IF($A434<>\"\",IF(ZOZNAM!T425=\"\",\"\",ZOZNAM!T425),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C426)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C426)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C426)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C426)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C426)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C426)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L426)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L426)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L426)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L426)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L426)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L426)),FALSE))),ZOZNAM!G426>=$C$9),ZOZNAM!A426,\"\")","v":"OU008"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!B426=\"\",\"\",ZOZNAM!B426),\"\")","v":"University of Oxford"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!C426=\"\",\"\",ZOZNAM!C426),\"\")","v":"Public Policy Economics (Online)"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!D426=\"\",\"\",ZOZNAM!D426),\"\")","v":"Online"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!E426=\"\",\"\",ZOZNAM!E426),\"\")","v":52},{"$f":"IF($A435<>\"\",IF(ZOZNAM!F426=\"\",\"\",ZOZNAM!F426),\"\")","v":73},{"$f":"IF($A435<>\"\",IF(ZOZNAM!G426=\"\",\"\",ZOZNAM!G426),\"\")","v":"2020-06-24"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!H426=\"\",\"\",ZOZNAM!H426),\"\")","v":"2020-09-04"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!I426=\"\",\"\",ZOZNAM!I426),\"\")","v":"300 GBP"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!J426=\"\",\"\",ZOZNAM!J426),\"\")","v":""},{"$f":"IF($A435<>\"\",IF(ZOZNAM!K426=\"\",\"\",ZOZNAM!K426),\"\")","v":"https://www.conted.ox.ac.uk/courses/public-policy-economics-online?code=O20P477SOV"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!L426=\"\",\"\",ZOZNAM!L426),\"\")","v":"This course covers some of the most important questions about the aims and tools of economic policy, ranging from competition policy and regulation to industrial policy, from public spending choices to incorporating behavioural psychology 'nudges' in policy decisions. It covers the role of the state versus the market, and the government's responsibility for sustainability. It will equip students to evaluate the economic arguments made about public policy choices.\nExplore the rationale for public policy interventions in the economy.\nProvide an overview of a wide range of areas of applied microeconomics used in public policy, including relevant historical and international experience.\nDiscuss the role of economics in the political process; (iv) provide an introduction to the evaluation of economic policies. It will have some interdisciplinary elements, in touching on political economy and behavioural economics."},{"$f":"IF($A435<>\"\",IF(ZOZNAM!M426=\"\",\"\",ZOZNAM!M426),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!N426=\"\",\"\",ZOZNAM!N426),\"\")","v":""},{"$f":"IF($A435<>\"\",IF(ZOZNAM!O426=\"\",\"\",ZOZNAM!O426),\"\")","v":"áno"},{"$f":"IF($A435<>\"\",IF(ZOZNAM!P426=\"\",\"\",ZOZNAM!P426),\"\")","v":""},{"$f":"IF($A435<>\"\",IF(ZOZNAM!Q426=\"\",\"\",ZOZNAM!Q426),\"\")","v":""},{"$f":"IF($A435<>\"\",IF(ZOZNAM!R426=\"\",\"\",ZOZNAM!R426),\"\")","v":""},{"$f":"IF($A435<>\"\",IF(ZOZNAM!S426=\"\",\"\",ZOZNAM!S426),\"\")","v":""},{"$f":"IF($A435<>\"\",IF(ZOZNAM!T426=\"\",\"\",ZOZNAM!T426),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C428)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C428)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C428)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C428)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C428)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C428)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L428)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L428)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L428)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L428)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L428)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L428)),FALSE))),ZOZNAM!G428>=$C$9),ZOZNAM!A428,\"\")","v":"CL025"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!B428=\"\",\"\",ZOZNAM!B428),\"\")","v":"University College London (UCL)"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!C428=\"\",\"\",ZOZNAM!C428),\"\")","v":"R: Further Topics"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!D428=\"\",\"\",ZOZNAM!D428),\"\")","v":"Online"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!E428=\"\",\"\",ZOZNAM!E428),\"\")","v":1},{"$f":"IF($A437<>\"\",IF(ZOZNAM!F428=\"\",\"\",ZOZNAM!F428),\"\")","v":1},{"$f":"IF($A437<>\"\",IF(ZOZNAM!G428=\"\",\"\",ZOZNAM!G428),\"\")","v":"2020-06-26"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!H428=\"\",\"\",ZOZNAM!H428),\"\")","v":"2020-06-26"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!I428=\"\",\"\",ZOZNAM!I428),\"\")","v":"200 GBP"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!J428=\"\",\"\",ZOZNAM!J428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!K428=\"\",\"\",ZOZNAM!K428),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/r-further-topics"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!L428=\"\",\"\",ZOZNAM!L428),\"\")","v":"This course will cover the following topics:\n\nAn introduction to the Rstudio software\nOrganising and merging multiple datasets\nConditional (TRUE of FALSE) statements\nConditional commands (if, if else, etc.)\nLoops\nCreating your own function\nAn introduction to ggplot2 (as time allows)"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!M428=\"\",\"\",ZOZNAM!M428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!N428=\"\",\"\",ZOZNAM!N428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!O428=\"\",\"\",ZOZNAM!O428),\"\")","v":"nie"},{"$f":"IF($A437<>\"\",IF(ZOZNAM!P428=\"\",\"\",ZOZNAM!P428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!Q428=\"\",\"\",ZOZNAM!Q428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!R428=\"\",\"\",ZOZNAM!R428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!S428=\"\",\"\",ZOZNAM!S428),\"\")","v":""},{"$f":"IF($A437<>\"\",IF(ZOZNAM!T428=\"\",\"\",ZOZNAM!T428),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C435)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C435)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C435)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C435)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C435)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C435)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L435)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L435)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L435)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L435)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L435)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L435)),FALSE))),ZOZNAM!G435>=$C$9),ZOZNAM!A435,\"\")","v":"BA210"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!B435=\"\",\"\",ZOZNAM!B435),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!C435=\"\",\"\",ZOZNAM!C435),\"\")","v":"Time Series Methods for Macroeconomic Analysis (Macroeconometrics Summer School)"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!D435=\"\",\"\",ZOZNAM!D435),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!E435=\"\",\"\",ZOZNAM!E435),\"\")","v":5},{"$f":"IF($A444<>\"\",IF(ZOZNAM!F435=\"\",\"\",ZOZNAM!F435),\"\")","v":5},{"$f":"IF($A444<>\"\",IF(ZOZNAM!G435=\"\",\"\",ZOZNAM!G435),\"\")","v":"2020-06-29"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!H435=\"\",\"\",ZOZNAM!H435),\"\")","v":"2020-07-03"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!I435=\"\",\"\",ZOZNAM!I435),\"\")","v":"1275 EUR"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!J435=\"\",\"\",ZOZNAM!J435),\"\")","v":""},{"$f":"IF($A444<>\"\",IF(ZOZNAM!K435=\"\",\"\",ZOZNAM!K435),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!L435=\"\",\"\",ZOZNAM!L435),\"\")","v":"The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular we will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. We also present several extension like Smooth transition VARs, Threshold VAR, Time-Varying Coefficients VAR and FAVARs. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students."},{"$f":"IF($A444<>\"\",IF(ZOZNAM!M435=\"\",\"\",ZOZNAM!M435),\"\")","v":""},{"$f":"IF($A444<>\"\",IF(ZOZNAM!N435=\"\",\"\",ZOZNAM!N435),\"\")","v":"nie"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!O435=\"\",\"\",ZOZNAM!O435),\"\")","v":"nie"},{"$f":"IF($A444<>\"\",IF(ZOZNAM!P435=\"\",\"\",ZOZNAM!P435),\"\")","v":1.99},{"$f":"IF($A444<>\"\",IF(ZOZNAM!Q435=\"\",\"\",ZOZNAM!Q435),\"\")","v":""},{"$f":"IF($A444<>\"\",IF(ZOZNAM!R435=\"\",\"\",ZOZNAM!R435),\"\")","v":""},{"$f":"IF($A444<>\"\",IF(ZOZNAM!S435=\"\",\"\",ZOZNAM!S435),\"\")","v":""},{"$f":"IF($A444<>\"\",IF(ZOZNAM!T435=\"\",\"\",ZOZNAM!T435),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C436)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C436)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C436)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C436)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C436)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C436)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L436)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L436)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L436)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L436)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L436)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L436)),FALSE))),ZOZNAM!G436>=$C$9),ZOZNAM!A436,\"\")","v":"BA213"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!B436=\"\",\"\",ZOZNAM!B436),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!C436=\"\",\"\",ZOZNAM!C436),\"\")","v":"Panel Data Linear Analysis (Microeconometrics Summer School)"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!D436=\"\",\"\",ZOZNAM!D436),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!E436=\"\",\"\",ZOZNAM!E436),\"\")","v":5},{"$f":"IF($A445<>\"\",IF(ZOZNAM!F436=\"\",\"\",ZOZNAM!F436),\"\")","v":5},{"$f":"IF($A445<>\"\",IF(ZOZNAM!G436=\"\",\"\",ZOZNAM!G436),\"\")","v":"2020-06-29"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!H436=\"\",\"\",ZOZNAM!H436),\"\")","v":"2020-07-03"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!I436=\"\",\"\",ZOZNAM!I436),\"\")","v":"1275 EUR"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!J436=\"\",\"\",ZOZNAM!J436),\"\")","v":""},{"$f":"IF($A445<>\"\",IF(ZOZNAM!K436=\"\",\"\",ZOZNAM!K436),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!L436=\"\",\"\",ZOZNAM!L436),\"\")","v":"This course considers methodological and substantive issues concerning the analysis of panel data. It starts by reviewing basic panel data models emphasizing the benefits and limitations of panel data over time series or cross-section data. Basic estimation and testing methods for random and fixed effects models are reviewed and illustrated using empirical applications using Stata and EViews. Next, problems of endogeneity in panel models are studied and panel instrumental variable estimation methods as well as Hausman type tests are reviewed and applied using an empirical application. The course also covers an introduction to dynamic panel data models. Finally, for large macro panels with a large number of countries observed over a long time series, we study issues of non-stationarity."},{"$f":"IF($A445<>\"\",IF(ZOZNAM!M436=\"\",\"\",ZOZNAM!M436),\"\")","v":""},{"$f":"IF($A445<>\"\",IF(ZOZNAM!N436=\"\",\"\",ZOZNAM!N436),\"\")","v":"nie"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!O436=\"\",\"\",ZOZNAM!O436),\"\")","v":"nie"},{"$f":"IF($A445<>\"\",IF(ZOZNAM!P436=\"\",\"\",ZOZNAM!P436),\"\")","v":1.99},{"$f":"IF($A445<>\"\",IF(ZOZNAM!Q436=\"\",\"\",ZOZNAM!Q436),\"\")","v":""},{"$f":"IF($A445<>\"\",IF(ZOZNAM!R436=\"\",\"\",ZOZNAM!R436),\"\")","v":""},{"$f":"IF($A445<>\"\",IF(ZOZNAM!S436=\"\",\"\",ZOZNAM!S436),\"\")","v":""},{"$f":"IF($A445<>\"\",IF(ZOZNAM!T436=\"\",\"\",ZOZNAM!T436),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C437)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C437)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C437)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C437)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C437)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C437)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L437)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L437)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L437)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L437)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L437)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L437)),FALSE))),ZOZNAM!G437>=$C$9),ZOZNAM!A437,\"\")","v":"BA214"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!B437=\"\",\"\",ZOZNAM!B437),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!C437=\"\",\"\",ZOZNAM!C437),\"\")","v":"Econometrics of Cross-section Data with Applications (Microeconometrics Summer School)"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!D437=\"\",\"\",ZOZNAM!D437),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!E437=\"\",\"\",ZOZNAM!E437),\"\")","v":5},{"$f":"IF($A446<>\"\",IF(ZOZNAM!F437=\"\",\"\",ZOZNAM!F437),\"\")","v":5},{"$f":"IF($A446<>\"\",IF(ZOZNAM!G437=\"\",\"\",ZOZNAM!G437),\"\")","v":"2020-06-29"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!H437=\"\",\"\",ZOZNAM!H437),\"\")","v":"2020-07-03"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!I437=\"\",\"\",ZOZNAM!I437),\"\")","v":"1275 EUR"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!J437=\"\",\"\",ZOZNAM!J437),\"\")","v":""},{"$f":"IF($A446<>\"\",IF(ZOZNAM!K437=\"\",\"\",ZOZNAM!K437),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!L437=\"\",\"\",ZOZNAM!L437),\"\")","v":"In this course we deal with estimation of these models, paying special attention to the interpretation of the estimates and the limitations of the different models in the literature. The course is organized in three blocks: the first one (two sessions) devoted to discrete choice models, including count data models ; the second one (two sessions) to limited-dependent variable models, including sample selection issues typical when dealing with cross-section data: and the third one (one session) devoted to models in which the dependent variable is the length of a spell in a particular status (e.g. unemployment) and we are interested in estimating how the duration in a particular status affects the probability of leaving that status."},{"$f":"IF($A446<>\"\",IF(ZOZNAM!M437=\"\",\"\",ZOZNAM!M437),\"\")","v":""},{"$f":"IF($A446<>\"\",IF(ZOZNAM!N437=\"\",\"\",ZOZNAM!N437),\"\")","v":"nie"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!O437=\"\",\"\",ZOZNAM!O437),\"\")","v":"nie"},{"$f":"IF($A446<>\"\",IF(ZOZNAM!P437=\"\",\"\",ZOZNAM!P437),\"\")","v":1.99},{"$f":"IF($A446<>\"\",IF(ZOZNAM!Q437=\"\",\"\",ZOZNAM!Q437),\"\")","v":""},{"$f":"IF($A446<>\"\",IF(ZOZNAM!R437=\"\",\"\",ZOZNAM!R437),\"\")","v":""},{"$f":"IF($A446<>\"\",IF(ZOZNAM!S437=\"\",\"\",ZOZNAM!S437),\"\")","v":""},{"$f":"IF($A446<>\"\",IF(ZOZNAM!T437=\"\",\"\",ZOZNAM!T437),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C438)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C438)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C438)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C438)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C438)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C438)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L438)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L438)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L438)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L438)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L438)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L438)),FALSE))),ZOZNAM!G438>=$C$9),ZOZNAM!A438,\"\")","v":"CM001"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!B438=\"\",\"\",ZOZNAM!B438),\"\")","v":"Cemmap"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!C438=\"\",\"\",ZOZNAM!C438),\"\")","v":"Policy evaluation methods"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!D438=\"\",\"\",ZOZNAM!D438),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!E438=\"\",\"\",ZOZNAM!E438),\"\")","v":4},{"$f":"IF($A447<>\"\",IF(ZOZNAM!F438=\"\",\"\",ZOZNAM!F438),\"\")","v":4},{"$f":"IF($A447<>\"\",IF(ZOZNAM!G438=\"\",\"\",ZOZNAM!G438),\"\")","v":"2020-01-14"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!H438=\"\",\"\",ZOZNAM!H438),\"\")","v":"2020-01-17"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!I438=\"\",\"\",ZOZNAM!I438),\"\")","v":"770 GBP "},{"$f":"IF($A447<>\"\",IF(ZOZNAM!J438=\"\",\"\",ZOZNAM!J438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!K438=\"\",\"\",ZOZNAM!K438),\"\")","v":"https://www.cemmap.ac.uk/event/id/1709"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!L438=\"\",\"\",ZOZNAM!L438),\"\")","v":"This course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic ‘treatment’ – from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of smoking on own and children's health.\n\nAfter highlighting the ‘evaluation problem’ and the challenges it poses to the analyst, we focus on the main empirical methods to solve it. Specifically, in this 3 and a half-day course we cover:\n\nRandomised social experiments\nNaive non-experimental estimator\nNatural experiments or instrumental variables\nRegression Discontinuity Design\nRegression analysis\nMatching methods\nBefore-after\nDifference-in-differences\nSynthetic control methods"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!M438=\"\",\"\",ZOZNAM!M438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!N438=\"\",\"\",ZOZNAM!N438),\"\")","v":"nie"},{"$f":"IF($A447<>\"\",IF(ZOZNAM!O438=\"\",\"\",ZOZNAM!O438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!P438=\"\",\"\",ZOZNAM!P438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!Q438=\"\",\"\",ZOZNAM!Q438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!R438=\"\",\"\",ZOZNAM!R438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!S438=\"\",\"\",ZOZNAM!S438),\"\")","v":""},{"$f":"IF($A447<>\"\",IF(ZOZNAM!T438=\"\",\"\",ZOZNAM!T438),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C442)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C442)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C442)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C442)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C442)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C442)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L442)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L442)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L442)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L442)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L442)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L442)),FALSE))),ZOZNAM!G442>=$C$9),ZOZNAM!A442,\"\")","v":"EM014"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!B442=\"\",\"\",ZOZNAM!B442),\"\")","v":"EcoMod Network"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!C442=\"\",\"\",ZOZNAM!C442),\"\")","v":"Stock-Flow Consistent Macroeconomic Modeling Using Eviews"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!D442=\"\",\"\",ZOZNAM!D442),\"\")","v":"Praha, Česko"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!E442=\"\",\"\",ZOZNAM!E442),\"\")","v":5},{"$f":"IF($A451<>\"\",IF(ZOZNAM!F442=\"\",\"\",ZOZNAM!F442),\"\")","v":5},{"$f":"IF($A451<>\"\",IF(ZOZNAM!G442=\"\",\"\",ZOZNAM!G442),\"\")","v":"2020-06-29"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!H442=\"\",\"\",ZOZNAM!H442),\"\")","v":"2020-07-03"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!I442=\"\",\"\",ZOZNAM!I442),\"\")","v":" 3 767 USD"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!J442=\"\",\"\",ZOZNAM!J442),\"\")","v":""},{"$f":"IF($A451<>\"\",IF(ZOZNAM!K442=\"\",\"\",ZOZNAM!K442),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!L442=\"\",\"\",ZOZNAM!L442),\"\")","v":"The course provides theoretical foundations and hands-on experience in building dynamic stock-flow-consistent (SFC) models which integrate real and financial markets.\n\nThe course will alternate theoretical discussions with hands-on lab sessions using the EViews software."},{"$f":"IF($A451<>\"\",IF(ZOZNAM!M442=\"\",\"\",ZOZNAM!M442),\"\")","v":""},{"$f":"IF($A451<>\"\",IF(ZOZNAM!N442=\"\",\"\",ZOZNAM!N442),\"\")","v":"nie"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!O442=\"\",\"\",ZOZNAM!O442),\"\")","v":"nie"},{"$f":"IF($A451<>\"\",IF(ZOZNAM!P442=\"\",\"\",ZOZNAM!P442),\"\")","v":""},{"$f":"IF($A451<>\"\",IF(ZOZNAM!Q442=\"\",\"\",ZOZNAM!Q442),\"\")","v":""},{"$f":"IF($A451<>\"\",IF(ZOZNAM!R442=\"\",\"\",ZOZNAM!R442),\"\")","v":""},{"$f":"IF($A451<>\"\",IF(ZOZNAM!S442=\"\",\"\",ZOZNAM!S442),\"\")","v":""},{"$f":"IF($A451<>\"\",IF(ZOZNAM!T442=\"\",\"\",ZOZNAM!T442),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C443)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C443)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C443)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C443)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C443)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C443)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L443)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L443)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L443)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L443)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L443)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L443)),FALSE))),ZOZNAM!G443>=$C$9),ZOZNAM!A443,\"\")","v":"CE153"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!B443=\"\",\"\",ZOZNAM!B443),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!C443=\"\",\"\",ZOZNAM!C443),\"\")","v":"Monetary Policy Implementation in the Eurosystem"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!D443=\"\",\"\",ZOZNAM!D443),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!E443=\"\",\"\",ZOZNAM!E443),\"\")","v":2},{"$f":"IF($A452<>\"\",IF(ZOZNAM!F443=\"\",\"\",ZOZNAM!F443),\"\")","v":2},{"$f":"IF($A452<>\"\",IF(ZOZNAM!G443=\"\",\"\",ZOZNAM!G443),\"\")","v":"2020-01-30"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!H443=\"\",\"\",ZOZNAM!H443),\"\")","v":"2020-01-31"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!I443=\"\",\"\",ZOZNAM!I443),\"\")","v":"0 EUR"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!J443=\"\",\"\",ZOZNAM!J443),\"\")","v":""},{"$f":"IF($A452<>\"\",IF(ZOZNAM!K443=\"\",\"\",ZOZNAM!K443),\"\")","v":"https://www.cef-see.org/20-monetarypolicy"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!L443=\"\",\"\",ZOZNAM!L443),\"\")","v":"We will place the monetary policy operations in the context of broader monetary policy strategy, emphasizing the link between the policy formulation and its implementation. Thus, we will discuss concrete experience of local implementation of monetary policy.\n\n During the workshop, we will review monetary policy instruments, including their effects on the central bank’s balance sheet and the liquidity of the banking system. Furthermore, we will discuss non-standard measures in the environment of low interest rates and low inflation."},{"$f":"IF($A452<>\"\",IF(ZOZNAM!M443=\"\",\"\",ZOZNAM!M443),\"\")","v":""},{"$f":"IF($A452<>\"\",IF(ZOZNAM!N443=\"\",\"\",ZOZNAM!N443),\"\")","v":"nie"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!O443=\"\",\"\",ZOZNAM!O443),\"\")","v":"nie"},{"$f":"IF($A452<>\"\",IF(ZOZNAM!P443=\"\",\"\",ZOZNAM!P443),\"\")","v":""},{"$f":"IF($A452<>\"\",IF(ZOZNAM!Q443=\"\",\"\",ZOZNAM!Q443),\"\")","v":""},{"$f":"IF($A452<>\"\",IF(ZOZNAM!R443=\"\",\"\",ZOZNAM!R443),\"\")","v":""},{"$f":"IF($A452<>\"\",IF(ZOZNAM!S443=\"\",\"\",ZOZNAM!S443),\"\")","v":""},{"$f":"IF($A452<>\"\",IF(ZOZNAM!T443=\"\",\"\",ZOZNAM!T443),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C444)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C444)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C444)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C444)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C444)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C444)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L444)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L444)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L444)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L444)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L444)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L444)),FALSE))),ZOZNAM!G444>=$C$9),ZOZNAM!A444,\"\")","v":"CE154"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!B444=\"\",\"\",ZOZNAM!B444),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!C444=\"\",\"\",ZOZNAM!C444),\"\")","v":"Managing Financing and Costing of Pension System Reforms"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!D444=\"\",\"\",ZOZNAM!D444),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!E444=\"\",\"\",ZOZNAM!E444),\"\")","v":3},{"$f":"IF($A453<>\"\",IF(ZOZNAM!F444=\"\",\"\",ZOZNAM!F444),\"\")","v":3},{"$f":"IF($A453<>\"\",IF(ZOZNAM!G444=\"\",\"\",ZOZNAM!G444),\"\")","v":"2020-02-05"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!H444=\"\",\"\",ZOZNAM!H444),\"\")","v":"2020-02-07"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!I444=\"\",\"\",ZOZNAM!I444),\"\")","v":"0 EUR"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!J444=\"\",\"\",ZOZNAM!J444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!K444=\"\",\"\",ZOZNAM!K444),\"\")","v":"https://www.cef-see.org/20-pensionreforms"},{"$f":"IF($A453<>\"\",IF(ZOZNAM!L444=\"\",\"\",ZOZNAM!L444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!M444=\"\",\"\",ZOZNAM!M444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!N444=\"\",\"\",ZOZNAM!N444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!O444=\"\",\"\",ZOZNAM!O444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!P444=\"\",\"\",ZOZNAM!P444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!Q444=\"\",\"\",ZOZNAM!Q444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!R444=\"\",\"\",ZOZNAM!R444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!S444=\"\",\"\",ZOZNAM!S444),\"\")","v":""},{"$f":"IF($A453<>\"\",IF(ZOZNAM!T444=\"\",\"\",ZOZNAM!T444),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C445)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C445)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C445)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C445)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C445)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C445)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L445)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L445)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L445)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L445)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L445)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L445)),FALSE))),ZOZNAM!G445>=$C$9),ZOZNAM!A445,\"\")","v":"CE155"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!B445=\"\",\"\",ZOZNAM!B445),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!C445=\"\",\"\",ZOZNAM!C445),\"\")","v":"Tax Audit in the Context of Behavioral Compliance Risk Management"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!D445=\"\",\"\",ZOZNAM!D445),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!E445=\"\",\"\",ZOZNAM!E445),\"\")","v":3},{"$f":"IF($A454<>\"\",IF(ZOZNAM!F445=\"\",\"\",ZOZNAM!F445),\"\")","v":3},{"$f":"IF($A454<>\"\",IF(ZOZNAM!G445=\"\",\"\",ZOZNAM!G445),\"\")","v":"2020-02-11"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!H445=\"\",\"\",ZOZNAM!H445),\"\")","v":"2020-02-13"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!I445=\"\",\"\",ZOZNAM!I445),\"\")","v":"0 EUR"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!J445=\"\",\"\",ZOZNAM!J445),\"\")","v":""},{"$f":"IF($A454<>\"\",IF(ZOZNAM!K445=\"\",\"\",ZOZNAM!K445),\"\")","v":"https://www.cef-see.org/2020-tax-audit"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!L445=\"\",\"\",ZOZNAM!L445),\"\")","v":"Objective of this workshop is to provide an opportunity for SEE tax auditors to share experiences and identify the best practices related to auditing small- and medium- sized enterprises (SMEs) based on the risk approach and taking into account the complexity of trade and particularly electronically provided services (e-commerce). Participants will learn how to leverage compliance risk management to affect taxpayer behavior through the use of audit techniques/methods. The workshop will combine theory with practice, providing participants insights into selection of cases and risk assessment by using traditional audit and e-audit methods or a combination of both.\nTopics:\nRisk identification and developing a compliance risk management strategy by creating a risk register (assess and prioritize) based on industry/cluster/taxpayer/tax\nAnalyzing compliance behavior and determining mitigating approaches by choosing the adequate strategy.  Choosing the adequate audit typology to be used for specific industries/cluster/taxpayers\nSophisticated and e-supported risk-based analysis techniques and audit programs targeting e-commerce.  Is our compliance risk management ready for detecting irregularities among taxpayers using e-commerce?  How can we face business to business and business to customer e-transactions?\nLegal framework and auditing methodologies in participating countries; do we have legal requirements/guidelines for e-audit?  Do we have specific structures within tax administration to control e-commerce?\nTypes of audit with an emphasis on e-audit and auditing e-commerce\nEfficient tax audit management; setting clear performance measures in order to evaluate audit output and outcome\nComputer Assisted Auditing Techniques (CAATs)\n"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!M445=\"\",\"\",ZOZNAM!M445),\"\")","v":""},{"$f":"IF($A454<>\"\",IF(ZOZNAM!N445=\"\",\"\",ZOZNAM!N445),\"\")","v":"nie"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!O445=\"\",\"\",ZOZNAM!O445),\"\")","v":"nie"},{"$f":"IF($A454<>\"\",IF(ZOZNAM!P445=\"\",\"\",ZOZNAM!P445),\"\")","v":""},{"$f":"IF($A454<>\"\",IF(ZOZNAM!Q445=\"\",\"\",ZOZNAM!Q445),\"\")","v":""},{"$f":"IF($A454<>\"\",IF(ZOZNAM!R445=\"\",\"\",ZOZNAM!R445),\"\")","v":""},{"$f":"IF($A454<>\"\",IF(ZOZNAM!S445=\"\",\"\",ZOZNAM!S445),\"\")","v":""},{"$f":"IF($A454<>\"\",IF(ZOZNAM!T445=\"\",\"\",ZOZNAM!T445),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C446)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C446)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C446)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C446)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C446)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C446)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L446)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L446)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L446)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L446)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L446)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L446)),FALSE))),ZOZNAM!G446>=$C$9),ZOZNAM!A446,\"\")","v":"CE157"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!B446=\"\",\"\",ZOZNAM!B446),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!C446=\"\",\"\",ZOZNAM!C446),\"\")","v":"Statistics on international trade in goods and services"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!D446=\"\",\"\",ZOZNAM!D446),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!E446=\"\",\"\",ZOZNAM!E446),\"\")","v":5},{"$f":"IF($A455<>\"\",IF(ZOZNAM!F446=\"\",\"\",ZOZNAM!F446),\"\")","v":5},{"$f":"IF($A455<>\"\",IF(ZOZNAM!G446=\"\",\"\",ZOZNAM!G446),\"\")","v":"2020-03-02"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!H446=\"\",\"\",ZOZNAM!H446),\"\")","v":"2020-03-06"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!I446=\"\",\"\",ZOZNAM!I446),\"\")","v":"0 EUR"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!J446=\"\",\"\",ZOZNAM!J446),\"\")","v":""},{"$f":"IF($A455<>\"\",IF(ZOZNAM!K446=\"\",\"\",ZOZNAM!K446),\"\")","v":"https://www.cef-see.org/20-tradestatistics"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!L446=\"\",\"\",ZOZNAM!L446),\"\")","v":"The workshop will explore how to compile and disseminate internationally comparable data at central banks. We will review and compare different practices to align with the statistical requirements of the European Central Bank, Eurostat and the IMF. This workshop will provide a thorough understanding of concepts as well as practical advice on data sources and techniques for compiling statistics on international trade in goods and services. Recognizing the challenges in the compilation of certain service categories (e.g. manufacturing, merchanting, insurance, financial services, construction), the course will emphasize specific aspects related to their treatment and recording in the balance of payments. We will also address the reasons for some mismatches between categories in the balance of payments and categories in national accounts (e.g. export/import data and deflators). Target audience: central bank officials engaged in compilation of macroeconomic statistics and statistical offices."},{"$f":"IF($A455<>\"\",IF(ZOZNAM!M446=\"\",\"\",ZOZNAM!M446),\"\")","v":""},{"$f":"IF($A455<>\"\",IF(ZOZNAM!N446=\"\",\"\",ZOZNAM!N446),\"\")","v":"nie"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!O446=\"\",\"\",ZOZNAM!O446),\"\")","v":"nie"},{"$f":"IF($A455<>\"\",IF(ZOZNAM!P446=\"\",\"\",ZOZNAM!P446),\"\")","v":""},{"$f":"IF($A455<>\"\",IF(ZOZNAM!Q446=\"\",\"\",ZOZNAM!Q446),\"\")","v":""},{"$f":"IF($A455<>\"\",IF(ZOZNAM!R446=\"\",\"\",ZOZNAM!R446),\"\")","v":""},{"$f":"IF($A455<>\"\",IF(ZOZNAM!S446=\"\",\"\",ZOZNAM!S446),\"\")","v":""},{"$f":"IF($A455<>\"\",IF(ZOZNAM!T446=\"\",\"\",ZOZNAM!T446),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C447)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C447)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C447)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C447)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C447)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C447)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L447)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L447)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L447)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L447)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L447)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L447)),FALSE))),ZOZNAM!G447>=$C$9),ZOZNAM!A447,\"\")","v":"CE158"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!B447=\"\",\"\",ZOZNAM!B447),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!C447=\"\",\"\",ZOZNAM!C447),\"\")","v":"Regional Networking for Structural Reforms"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!D447=\"\",\"\",ZOZNAM!D447),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!E447=\"\",\"\",ZOZNAM!E447),\"\")","v":3},{"$f":"IF($A456<>\"\",IF(ZOZNAM!F447=\"\",\"\",ZOZNAM!F447),\"\")","v":3},{"$f":"IF($A456<>\"\",IF(ZOZNAM!G447=\"\",\"\",ZOZNAM!G447),\"\")","v":"2020-03-03"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!H447=\"\",\"\",ZOZNAM!H447),\"\")","v":"2020-03-05"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!I447=\"\",\"\",ZOZNAM!I447),\"\")","v":"0 EUR"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!J447=\"\",\"\",ZOZNAM!J447),\"\")","v":""},{"$f":"IF($A456<>\"\",IF(ZOZNAM!K447=\"\",\"\",ZOZNAM!K447),\"\")","v":"https://www.cef-see.org/20-lmr2"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!L447=\"\",\"\",ZOZNAM!L447),\"\")","v":"This event will be the second meeting of the Network of Regional Experts (NRE) established under the FISR project. Also, a meeting of the Project Steering Committee (i.e. the ERP Coordinators) will take place during this event. NRE members will exchange impressions about the outcomes of the FISR project’s efforts, receive training-of-trainers capacity building in soft skills (effective policy writing and public speaking), and obtain specific technical knowledge of costing and budgeting structural reforms.\n\nMembers of the Project Steering Committee will get targeted capacity-building in leadership skills (building trust, enabling teamwork, facilitating processes).\n"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!M447=\"\",\"\",ZOZNAM!M447),\"\")","v":""},{"$f":"IF($A456<>\"\",IF(ZOZNAM!N447=\"\",\"\",ZOZNAM!N447),\"\")","v":"nie"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!O447=\"\",\"\",ZOZNAM!O447),\"\")","v":"nie"},{"$f":"IF($A456<>\"\",IF(ZOZNAM!P447=\"\",\"\",ZOZNAM!P447),\"\")","v":""},{"$f":"IF($A456<>\"\",IF(ZOZNAM!Q447=\"\",\"\",ZOZNAM!Q447),\"\")","v":""},{"$f":"IF($A456<>\"\",IF(ZOZNAM!R447=\"\",\"\",ZOZNAM!R447),\"\")","v":""},{"$f":"IF($A456<>\"\",IF(ZOZNAM!S447=\"\",\"\",ZOZNAM!S447),\"\")","v":""},{"$f":"IF($A456<>\"\",IF(ZOZNAM!T447=\"\",\"\",ZOZNAM!T447),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C448)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C448)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C448)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C448)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C448)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C448)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L448)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L448)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L448)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L448)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L448)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L448)),FALSE))),ZOZNAM!G448>=$C$9),ZOZNAM!A448,\"\")","v":"CE159"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!B448=\"\",\"\",ZOZNAM!B448),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!C448=\"\",\"\",ZOZNAM!C448),\"\")","v":"Government Finance Statistics (By Invitation)"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!D448=\"\",\"\",ZOZNAM!D448),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!E448=\"\",\"\",ZOZNAM!E448),\"\")","v":5},{"$f":"IF($A457<>\"\",IF(ZOZNAM!F448=\"\",\"\",ZOZNAM!F448),\"\")","v":5},{"$f":"IF($A457<>\"\",IF(ZOZNAM!G448=\"\",\"\",ZOZNAM!G448),\"\")","v":"2020-03-09"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!H448=\"\",\"\",ZOZNAM!H448),\"\")","v":"2020-03-13"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!I448=\"\",\"\",ZOZNAM!I448),\"\")","v":"0 EUR"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!J448=\"\",\"\",ZOZNAM!J448),\"\")","v":""},{"$f":"IF($A457<>\"\",IF(ZOZNAM!K448=\"\",\"\",ZOZNAM!K448),\"\")","v":"https://www.cef-see.org/20-dap2"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!L448=\"\",\"\",ZOZNAM!L448),\"\")","v":"This learning initiative concludes the multi-year project on developing GFS in South East Europe, carried out by the IMF Statistics Department in partnership with the CEF and with funding from the Swiss State Secretariat for Economic Affairs (SECO). The workshop will advise compilers of statistics on developing GFS data and data reporting, both to the IMF and the EU (cf. the Maastricht deficit and debt criteria, and the Excessive Deficit Procedure). It will also review the project's achievements and benefits as well as possible directions for continued learning on the topic in future. Target audience: high-level representatives of ministries of finance and central banks."},{"$f":"IF($A457<>\"\",IF(ZOZNAM!M448=\"\",\"\",ZOZNAM!M448),\"\")","v":""},{"$f":"IF($A457<>\"\",IF(ZOZNAM!N448=\"\",\"\",ZOZNAM!N448),\"\")","v":"nie"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!O448=\"\",\"\",ZOZNAM!O448),\"\")","v":"nie"},{"$f":"IF($A457<>\"\",IF(ZOZNAM!P448=\"\",\"\",ZOZNAM!P448),\"\")","v":""},{"$f":"IF($A457<>\"\",IF(ZOZNAM!Q448=\"\",\"\",ZOZNAM!Q448),\"\")","v":""},{"$f":"IF($A457<>\"\",IF(ZOZNAM!R448=\"\",\"\",ZOZNAM!R448),\"\")","v":""},{"$f":"IF($A457<>\"\",IF(ZOZNAM!S448=\"\",\"\",ZOZNAM!S448),\"\")","v":""},{"$f":"IF($A457<>\"\",IF(ZOZNAM!T448=\"\",\"\",ZOZNAM!T448),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C449)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C449)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C449)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C449)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C449)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C449)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L449)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L449)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L449)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L449)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L449)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L449)),FALSE))),ZOZNAM!G449>=$C$9),ZOZNAM!A449,\"\")","v":"CE161"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!B449=\"\",\"\",ZOZNAM!B449),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!C449=\"\",\"\",ZOZNAM!C449),\"\")","v":"Review or Capital and Liquidity Adequacy Process"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!D449=\"\",\"\",ZOZNAM!D449),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!E449=\"\",\"\",ZOZNAM!E449),\"\")","v":3},{"$f":"IF($A458<>\"\",IF(ZOZNAM!F449=\"\",\"\",ZOZNAM!F449),\"\")","v":3},{"$f":"IF($A458<>\"\",IF(ZOZNAM!G449=\"\",\"\",ZOZNAM!G449),\"\")","v":"2020-04-07"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!H449=\"\",\"\",ZOZNAM!H449),\"\")","v":"2020-04-09"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!I449=\"\",\"\",ZOZNAM!I449),\"\")","v":"0 EUR"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!J449=\"\",\"\",ZOZNAM!J449),\"\")","v":""},{"$f":"IF($A458<>\"\",IF(ZOZNAM!K449=\"\",\"\",ZOZNAM!K449),\"\")","v":"https://www.cef-see.org/20-icaap"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!L449=\"\",\"\",ZOZNAM!L449),\"\")","v":"The workshop aims to provide tools, guidelines and applicable experience for banking regulators in their review of internal risk-based assessment processes of capital adequacy and liquidity. With this workshop, we will cover internal capital / liquidity adequacy assessment processes (ICAAP/ILAAP) within the context of the supervisory review and evaluation process. Coverage of the framework, its use and practical experience will be presented. After discussing different implementation aspects of various countries, we will focus on assessing the status of banks' capital and liquidity requirements and their risk management. Target audience: banking regulators and supervisors. "},{"$f":"IF($A458<>\"\",IF(ZOZNAM!M449=\"\",\"\",ZOZNAM!M449),\"\")","v":""},{"$f":"IF($A458<>\"\",IF(ZOZNAM!N449=\"\",\"\",ZOZNAM!N449),\"\")","v":"nie"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!O449=\"\",\"\",ZOZNAM!O449),\"\")","v":"nie"},{"$f":"IF($A458<>\"\",IF(ZOZNAM!P449=\"\",\"\",ZOZNAM!P449),\"\")","v":""},{"$f":"IF($A458<>\"\",IF(ZOZNAM!Q449=\"\",\"\",ZOZNAM!Q449),\"\")","v":""},{"$f":"IF($A458<>\"\",IF(ZOZNAM!R449=\"\",\"\",ZOZNAM!R449),\"\")","v":""},{"$f":"IF($A458<>\"\",IF(ZOZNAM!S449=\"\",\"\",ZOZNAM!S449),\"\")","v":""},{"$f":"IF($A458<>\"\",IF(ZOZNAM!T449=\"\",\"\",ZOZNAM!T449),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C450)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C450)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C450)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C450)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C450)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C450)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L450)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L450)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L450)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L450)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L450)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L450)),FALSE))),ZOZNAM!G450>=$C$9),ZOZNAM!A450,\"\")","v":"CE162"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!B450=\"\",\"\",ZOZNAM!B450),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!C450=\"\",\"\",ZOZNAM!C450),\"\")","v":"Performance-based Auditing"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!D450=\"\",\"\",ZOZNAM!D450),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!E450=\"\",\"\",ZOZNAM!E450),\"\")","v":3},{"$f":"IF($A459<>\"\",IF(ZOZNAM!F450=\"\",\"\",ZOZNAM!F450),\"\")","v":3},{"$f":"IF($A459<>\"\",IF(ZOZNAM!G450=\"\",\"\",ZOZNAM!G450),\"\")","v":"2020-04-07"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!H450=\"\",\"\",ZOZNAM!H450),\"\")","v":"2020-04-09"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!I450=\"\",\"\",ZOZNAM!I450),\"\")","v":"0 EUR"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!J450=\"\",\"\",ZOZNAM!J450),\"\")","v":""},{"$f":"IF($A459<>\"\",IF(ZOZNAM!K450=\"\",\"\",ZOZNAM!K450),\"\")","v":"https://www.cef-see.org/performaud"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!L450=\"\",\"\",ZOZNAM!L450),\"\")","v":"The workshop will give a detailed overview of the principles and practices under which public sector internal auditors can deliver performance-based auditing, thereby ensuring that the organization under review is working toward and maintaining a high level of performance. After the initial review of the steps to the performance-based audit process, the participants will split into small groups and work on group assignments related to the practical application of the risk and control matrix value-for-money approach to performance-based auditing. They will learn about different performance audit tools and explore strategies to be used to ensure that organization’s objectives and the potential risks to achieving them are properly assessed and addressed. We will also explore the relationship between performance and financial audit in terms of their purpose, focus, audit criteria, applied methodology, as well as reporting requirements in both areas.\n\nTo develop an active and cooperative learning environment, the workshop will combine introductory presentations with group discussions and case study work guiding participants through performance auditing process and challenging them to consider audit alternatives, make critical decisions and examine the outcomes of their decisions. Sufficient time will be allotted to question and answer sessions to allow participants to benefit from the exchange of professional experiences and practical examples.\n\nBy the end of the course, participants will have:\n\nLearnt about how to identify and select the most relevant topics for performance audits\nExamined the question of how to define the scope and design of a performance audit\nLearnt how to develop a question and evidence matrix\nApplied techniques for conducting performance audits\nDiscussed the relationship between performance and financial audit\nLearnt about how to ensure quality assurance and quality control of performance audits\nReceived insights into using analytical tools for forming conclusions and recommendations as part of the audit report\nWho should attend\nThis practical hands-on workshop has been primarily designed for audit professionals (e.g.  internal and external auditors, financial managers, audit methodologists, performance analysts, quality managers) from Supreme Audit Institutions (SAI), ministries and other public institutions charged with service delivery from SEE countries.\n\nAs the workshop is designed to combine multiple dimensions of learning (experiential, reflective, theoretical, and practical), participants should have a good command of English to be able to fully engage in workshop’s activities."},{"$f":"IF($A459<>\"\",IF(ZOZNAM!M450=\"\",\"\",ZOZNAM!M450),\"\")","v":""},{"$f":"IF($A459<>\"\",IF(ZOZNAM!N450=\"\",\"\",ZOZNAM!N450),\"\")","v":"nie"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!O450=\"\",\"\",ZOZNAM!O450),\"\")","v":"nie"},{"$f":"IF($A459<>\"\",IF(ZOZNAM!P450=\"\",\"\",ZOZNAM!P450),\"\")","v":""},{"$f":"IF($A459<>\"\",IF(ZOZNAM!Q450=\"\",\"\",ZOZNAM!Q450),\"\")","v":""},{"$f":"IF($A459<>\"\",IF(ZOZNAM!R450=\"\",\"\",ZOZNAM!R450),\"\")","v":""},{"$f":"IF($A459<>\"\",IF(ZOZNAM!S450=\"\",\"\",ZOZNAM!S450),\"\")","v":""},{"$f":"IF($A459<>\"\",IF(ZOZNAM!T450=\"\",\"\",ZOZNAM!T450),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C451)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C451)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C451)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C451)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C451)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C451)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L451)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L451)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L451)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L451)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L451)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L451)),FALSE))),ZOZNAM!G451>=$C$9),ZOZNAM!A451,\"\")","v":"CE163"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!B451=\"\",\"\",ZOZNAM!B451),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!C451=\"\",\"\",ZOZNAM!C451),\"\")","v":"Financial Reporting to Management"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!D451=\"\",\"\",ZOZNAM!D451),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!E451=\"\",\"\",ZOZNAM!E451),\"\")","v":3},{"$f":"IF($A460<>\"\",IF(ZOZNAM!F451=\"\",\"\",ZOZNAM!F451),\"\")","v":3},{"$f":"IF($A460<>\"\",IF(ZOZNAM!G451=\"\",\"\",ZOZNAM!G451),\"\")","v":"2020-04-22"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!H451=\"\",\"\",ZOZNAM!H451),\"\")","v":"2020-04-24"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!I451=\"\",\"\",ZOZNAM!I451),\"\")","v":"0 EUR"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!J451=\"\",\"\",ZOZNAM!J451),\"\")","v":""},{"$f":"IF($A460<>\"\",IF(ZOZNAM!K451=\"\",\"\",ZOZNAM!K451),\"\")","v":"https://www.cef-see.org/20-cb-finrep"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!L451=\"\",\"\",ZOZNAM!L451),\"\")","v":"This workshop will address how to concisely and effectively generate and communicate financial information to the management and decision-makers. Through practical examples, including cases of central banks, the workshop will introduce different approaches and tools that can be used for the design of reports and communication of main messages inside the organization. It will support evidence-based decision-making process based on timely and accurate financial data. "},{"$f":"IF($A460<>\"\",IF(ZOZNAM!M451=\"\",\"\",ZOZNAM!M451),\"\")","v":""},{"$f":"IF($A460<>\"\",IF(ZOZNAM!N451=\"\",\"\",ZOZNAM!N451),\"\")","v":"nie"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!O451=\"\",\"\",ZOZNAM!O451),\"\")","v":"nie"},{"$f":"IF($A460<>\"\",IF(ZOZNAM!P451=\"\",\"\",ZOZNAM!P451),\"\")","v":""},{"$f":"IF($A460<>\"\",IF(ZOZNAM!Q451=\"\",\"\",ZOZNAM!Q451),\"\")","v":""},{"$f":"IF($A460<>\"\",IF(ZOZNAM!R451=\"\",\"\",ZOZNAM!R451),\"\")","v":""},{"$f":"IF($A460<>\"\",IF(ZOZNAM!S451=\"\",\"\",ZOZNAM!S451),\"\")","v":""},{"$f":"IF($A460<>\"\",IF(ZOZNAM!T451=\"\",\"\",ZOZNAM!T451),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C452)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C452)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C452)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C452)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C452)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C452)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L452)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L452)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L452)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L452)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L452)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L452)),FALSE))),ZOZNAM!G452>=$C$9),ZOZNAM!A452,\"\")","v":"CE164"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!B452=\"\",\"\",ZOZNAM!B452),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!C452=\"\",\"\",ZOZNAM!C452),\"\")","v":"Increasing Taxpayer Compliance and Reducing Compliance Costs"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!D452=\"\",\"\",ZOZNAM!D452),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!E452=\"\",\"\",ZOZNAM!E452),\"\")","v":3},{"$f":"IF($A461<>\"\",IF(ZOZNAM!F452=\"\",\"\",ZOZNAM!F452),\"\")","v":3},{"$f":"IF($A461<>\"\",IF(ZOZNAM!G452=\"\",\"\",ZOZNAM!G452),\"\")","v":"2020-04-22"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!H452=\"\",\"\",ZOZNAM!H452),\"\")","v":"2020-04-24"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!I452=\"\",\"\",ZOZNAM!I452),\"\")","v":"0 EUR"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!J452=\"\",\"\",ZOZNAM!J452),\"\")","v":""},{"$f":"IF($A461<>\"\",IF(ZOZNAM!K452=\"\",\"\",ZOZNAM!K452),\"\")","v":"https://www.cef-see.org/20-tpa4"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!L452=\"\",\"\",ZOZNAM!L452),\"\")","v":"This workshop aims at improving taxpayer services in a dialog with the taxpayers. Participants will discuss how digitalization of tax procedures and processes can impact taxpayers’ compliance. Attention will be paid to taxpayer services; the aspect of digitalization will be discussed as an influencing factor. Participants will debate how the development of e-services can change the processes of filing, registering and returning taxes; taking an inventory; centralizing and standardizing procedures, streamlining processes, and collaborating with all leaders across functions. The event will be delivered in Kosovo as a continuation of successful delivery of the program in the region. As Kosovo has a long history of improving taxpayer services and they are using IT as a tool to improve services, they will present their progress and results so far."},{"$f":"IF($A461<>\"\",IF(ZOZNAM!M452=\"\",\"\",ZOZNAM!M452),\"\")","v":""},{"$f":"IF($A461<>\"\",IF(ZOZNAM!N452=\"\",\"\",ZOZNAM!N452),\"\")","v":"nie"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!O452=\"\",\"\",ZOZNAM!O452),\"\")","v":"nie"},{"$f":"IF($A461<>\"\",IF(ZOZNAM!P452=\"\",\"\",ZOZNAM!P452),\"\")","v":""},{"$f":"IF($A461<>\"\",IF(ZOZNAM!Q452=\"\",\"\",ZOZNAM!Q452),\"\")","v":""},{"$f":"IF($A461<>\"\",IF(ZOZNAM!R452=\"\",\"\",ZOZNAM!R452),\"\")","v":""},{"$f":"IF($A461<>\"\",IF(ZOZNAM!S452=\"\",\"\",ZOZNAM!S452),\"\")","v":""},{"$f":"IF($A461<>\"\",IF(ZOZNAM!T452=\"\",\"\",ZOZNAM!T452),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C453)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C453)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C453)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C453)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C453)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C453)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L453)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L453)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L453)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L453)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L453)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L453)),FALSE))),ZOZNAM!G453>=$C$9),ZOZNAM!A453,\"\")","v":"CE165"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!B453=\"\",\"\",ZOZNAM!B453),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!C453=\"\",\"\",ZOZNAM!C453),\"\")","v":"Fiscal Programming of Structural Reforms"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!D453=\"\",\"\",ZOZNAM!D453),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!E453=\"\",\"\",ZOZNAM!E453),\"\")","v":3},{"$f":"IF($A462<>\"\",IF(ZOZNAM!F453=\"\",\"\",ZOZNAM!F453),\"\")","v":3},{"$f":"IF($A462<>\"\",IF(ZOZNAM!G453=\"\",\"\",ZOZNAM!G453),\"\")","v":"2020-05-20"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!H453=\"\",\"\",ZOZNAM!H453),\"\")","v":"2020-05-22"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!I453=\"\",\"\",ZOZNAM!I453),\"\")","v":"0 EUR"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!J453=\"\",\"\",ZOZNAM!J453),\"\")","v":""},{"$f":"IF($A462<>\"\",IF(ZOZNAM!K453=\"\",\"\",ZOZNAM!K453),\"\")","v":"https://www.cef-see.org/20-bpe3"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!L453=\"\",\"\",ZOZNAM!L453),\"\")","v":"The objective of this workshop is to determine technical and non-technical factors that contribute to improved programming, prioritization and incorporation of structural reforms into national budget and planning documents resulting in improved relevance and credibility of the Economic Reform Programs (ERP). It will identify implications of varying definitions of structural reforms, models for assessing their costs and effects, and mechanisms to align them with national planning documents and integrate them into the annual budget to secure their continuous funding and implementation. In addition, the workshop will examine practical tools and methods for the quantification of structural reforms’ impact on economic growth, competitiveness and employment. To secure funding for priority structural reforms, participants will also examine prospects for utilizing instruments from the new EU multi-annual financial framework. Target audience: officials from finance and policy departments of line ministries, and budget analysts in ministries of finance, who are involved in the ERP design and coordination."},{"$f":"IF($A462<>\"\",IF(ZOZNAM!M453=\"\",\"\",ZOZNAM!M453),\"\")","v":""},{"$f":"IF($A462<>\"\",IF(ZOZNAM!N453=\"\",\"\",ZOZNAM!N453),\"\")","v":"nie"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!O453=\"\",\"\",ZOZNAM!O453),\"\")","v":"nie"},{"$f":"IF($A462<>\"\",IF(ZOZNAM!P453=\"\",\"\",ZOZNAM!P453),\"\")","v":""},{"$f":"IF($A462<>\"\",IF(ZOZNAM!Q453=\"\",\"\",ZOZNAM!Q453),\"\")","v":""},{"$f":"IF($A462<>\"\",IF(ZOZNAM!R453=\"\",\"\",ZOZNAM!R453),\"\")","v":""},{"$f":"IF($A462<>\"\",IF(ZOZNAM!S453=\"\",\"\",ZOZNAM!S453),\"\")","v":""},{"$f":"IF($A462<>\"\",IF(ZOZNAM!T453=\"\",\"\",ZOZNAM!T453),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C454)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C454)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C454)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C454)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C454)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C454)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L454)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L454)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L454)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L454)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L454)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L454)),FALSE))),ZOZNAM!G454>=$C$9),ZOZNAM!A454,\"\")","v":"CE166"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!B454=\"\",\"\",ZOZNAM!B454),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!C454=\"\",\"\",ZOZNAM!C454),\"\")","v":"Conducting financial and expenditure analysis in the public sector"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!D454=\"\",\"\",ZOZNAM!D454),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!E454=\"\",\"\",ZOZNAM!E454),\"\")","v":3},{"$f":"IF($A463<>\"\",IF(ZOZNAM!F454=\"\",\"\",ZOZNAM!F454),\"\")","v":3},{"$f":"IF($A463<>\"\",IF(ZOZNAM!G454=\"\",\"\",ZOZNAM!G454),\"\")","v":"2020-06-02"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!H454=\"\",\"\",ZOZNAM!H454),\"\")","v":"2020-06-04"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!I454=\"\",\"\",ZOZNAM!I454),\"\")","v":"0 EUR"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!J454=\"\",\"\",ZOZNAM!J454),\"\")","v":""},{"$f":"IF($A463<>\"\",IF(ZOZNAM!K454=\"\",\"\",ZOZNAM!K454),\"\")","v":"https://www.cef-see.org/20-dap4"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!L454=\"\",\"\",ZOZNAM!L454),\"\")","v":"The workshop explores through simple practical examples how to perform financial analysis in the public sector. It will enable officials in finance departments to develop further their financial analysis capacities. The workshop will focus on the basic concepts of reading financial reports, performing financial analysis, calculating budgets, and understanding the most important financial ratios in the public sector. Target audience: finance departments within line ministries and budget analysts in ministries of finance."},{"$f":"IF($A463<>\"\",IF(ZOZNAM!M454=\"\",\"\",ZOZNAM!M454),\"\")","v":""},{"$f":"IF($A463<>\"\",IF(ZOZNAM!N454=\"\",\"\",ZOZNAM!N454),\"\")","v":"nie"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!O454=\"\",\"\",ZOZNAM!O454),\"\")","v":"nie"},{"$f":"IF($A463<>\"\",IF(ZOZNAM!P454=\"\",\"\",ZOZNAM!P454),\"\")","v":""},{"$f":"IF($A463<>\"\",IF(ZOZNAM!Q454=\"\",\"\",ZOZNAM!Q454),\"\")","v":""},{"$f":"IF($A463<>\"\",IF(ZOZNAM!R454=\"\",\"\",ZOZNAM!R454),\"\")","v":""},{"$f":"IF($A463<>\"\",IF(ZOZNAM!S454=\"\",\"\",ZOZNAM!S454),\"\")","v":""},{"$f":"IF($A463<>\"\",IF(ZOZNAM!T454=\"\",\"\",ZOZNAM!T454),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C455)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C455)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C455)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C455)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C455)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C455)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L455)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L455)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L455)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L455)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L455)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L455)),FALSE))),ZOZNAM!G455>=$C$9),ZOZNAM!A455,\"\")","v":"EM015"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!B455=\"\",\"\",ZOZNAM!B455),\"\")","v":"EcoMod Network"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!C455=\"\",\"\",ZOZNAM!C455),\"\")","v":"Practical General Equilibrium Modeling with GAMS"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!D455=\"\",\"\",ZOZNAM!D455),\"\")","v":"Praha, Česko"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!E455=\"\",\"\",ZOZNAM!E455),\"\")","v":5},{"$f":"IF($A464<>\"\",IF(ZOZNAM!F455=\"\",\"\",ZOZNAM!F455),\"\")","v":5},{"$f":"IF($A464<>\"\",IF(ZOZNAM!G455=\"\",\"\",ZOZNAM!G455),\"\")","v":"2020-06-29"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!H455=\"\",\"\",ZOZNAM!H455),\"\")","v":"2020-07-03"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!I455=\"\",\"\",ZOZNAM!I455),\"\")","v":" 3 767 USD"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!J455=\"\",\"\",ZOZNAM!J455),\"\")","v":""},{"$f":"IF($A464<>\"\",IF(ZOZNAM!K455=\"\",\"\",ZOZNAM!K455),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!L455=\"\",\"\",ZOZNAM!L455),\"\")","v":"The course will introduce all the basic tools for constructing and implementing large-scale applied general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nthe structure of open economy general equilibrium models,\nbuilding the database for such models,\nbuilding social accounting matrices,\ncalibrating a CGE model,\nformulating a CGE model as a non linear programming problem,\nformulating a CGE model as a mixed complementarity problem,\nimplementing the model on the computer using the GAMS software,\nusing the solvers CONOPT, MINOS, PATH, and PATHNLP,\nmodeling the labor market,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results,\nlinking GAMS and Excel for reading and reporting data"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!M455=\"\",\"\",ZOZNAM!M455),\"\")","v":""},{"$f":"IF($A464<>\"\",IF(ZOZNAM!N455=\"\",\"\",ZOZNAM!N455),\"\")","v":"nie"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!O455=\"\",\"\",ZOZNAM!O455),\"\")","v":"nie"},{"$f":"IF($A464<>\"\",IF(ZOZNAM!P455=\"\",\"\",ZOZNAM!P455),\"\")","v":""},{"$f":"IF($A464<>\"\",IF(ZOZNAM!Q455=\"\",\"\",ZOZNAM!Q455),\"\")","v":""},{"$f":"IF($A464<>\"\",IF(ZOZNAM!R455=\"\",\"\",ZOZNAM!R455),\"\")","v":""},{"$f":"IF($A464<>\"\",IF(ZOZNAM!S455=\"\",\"\",ZOZNAM!S455),\"\")","v":""},{"$f":"IF($A464<>\"\",IF(ZOZNAM!T455=\"\",\"\",ZOZNAM!T455),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C456)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C456)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C456)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C456)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C456)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C456)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L456)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L456)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L456)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L456)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L456)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L456)),FALSE))),ZOZNAM!G456>=$C$9),ZOZNAM!A456,\"\")","v":"EM016"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!B456=\"\",\"\",ZOZNAM!B456),\"\")","v":"EcoMod Network"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!C456=\"\",\"\",ZOZNAM!C456),\"\")","v":"Agent-Based Economic Modeling Using Python"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!D456=\"\",\"\",ZOZNAM!D456),\"\")","v":"Praha, Česko"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!E456=\"\",\"\",ZOZNAM!E456),\"\")","v":5},{"$f":"IF($A465<>\"\",IF(ZOZNAM!F456=\"\",\"\",ZOZNAM!F456),\"\")","v":5},{"$f":"IF($A465<>\"\",IF(ZOZNAM!G456=\"\",\"\",ZOZNAM!G456),\"\")","v":"2020-06-29"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!H456=\"\",\"\",ZOZNAM!H456),\"\")","v":"2020-07-03"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!I456=\"\",\"\",ZOZNAM!I456),\"\")","v":" 3 767 USD"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!J456=\"\",\"\",ZOZNAM!J456),\"\")","v":""},{"$f":"IF($A465<>\"\",IF(ZOZNAM!K456=\"\",\"\",ZOZNAM!K456),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!L456=\"\",\"\",ZOZNAM!L456),\"\")","v":"By the end of the course the participants will have acquired detailed knowledge of and hands-on experience in:\n\nPython\nHow to formulate research questions for agent-based models\nHow to write agent-based models\nHow to create firm agents\nHow to create household agents\nDifferent behavioral approaches to agents' behavior such as\nMaximizing agents\nAgents acting according to behavioral heuristics\nMachine learning and other behavioral approaches\nHow to structure them for extensionality"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!M456=\"\",\"\",ZOZNAM!M456),\"\")","v":""},{"$f":"IF($A465<>\"\",IF(ZOZNAM!N456=\"\",\"\",ZOZNAM!N456),\"\")","v":"nie"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!O456=\"\",\"\",ZOZNAM!O456),\"\")","v":"nie"},{"$f":"IF($A465<>\"\",IF(ZOZNAM!P456=\"\",\"\",ZOZNAM!P456),\"\")","v":""},{"$f":"IF($A465<>\"\",IF(ZOZNAM!Q456=\"\",\"\",ZOZNAM!Q456),\"\")","v":""},{"$f":"IF($A465<>\"\",IF(ZOZNAM!R456=\"\",\"\",ZOZNAM!R456),\"\")","v":""},{"$f":"IF($A465<>\"\",IF(ZOZNAM!S456=\"\",\"\",ZOZNAM!S456),\"\")","v":""},{"$f":"IF($A465<>\"\",IF(ZOZNAM!T456=\"\",\"\",ZOZNAM!T456),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C457)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C457)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C457)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C457)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C457)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C457)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L457)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L457)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L457)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L457)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L457)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L457)),FALSE))),ZOZNAM!G457>=$C$9),ZOZNAM!A457,\"\")","v":"EM017"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!B457=\"\",\"\",ZOZNAM!B457),\"\")","v":"EcoMod Network"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!C457=\"\",\"\",ZOZNAM!C457),\"\")","v":"Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!D457=\"\",\"\",ZOZNAM!D457),\"\")","v":"Praha, Česko"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!E457=\"\",\"\",ZOZNAM!E457),\"\")","v":5},{"$f":"IF($A466<>\"\",IF(ZOZNAM!F457=\"\",\"\",ZOZNAM!F457),\"\")","v":5},{"$f":"IF($A466<>\"\",IF(ZOZNAM!G457=\"\",\"\",ZOZNAM!G457),\"\")","v":"2020-06-29"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!H457=\"\",\"\",ZOZNAM!H457),\"\")","v":"2020-07-03"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!I457=\"\",\"\",ZOZNAM!I457),\"\")","v":" 3 767 USD"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!J457=\"\",\"\",ZOZNAM!J457),\"\")","v":""},{"$f":"IF($A466<>\"\",IF(ZOZNAM!K457=\"\",\"\",ZOZNAM!K457),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!L457=\"\",\"\",ZOZNAM!L457),\"\")","v":"The course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.\n\nCourse objective: \nthe use of MATLAB,\nthe use of DYNARE\nthe structure of DSGE models,\npreparing the database for DSGE models,\nestimating and calibrating DSGE models,\nintroducing stochastic shocks,\nintroducing imperfect competition,\nintroducing price and wage rigidities,\nimplementing the model using MATLAB and DYNARE,\nnumerical solution methods,\nimpulse response functions,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A466<>\"\",IF(ZOZNAM!M457=\"\",\"\",ZOZNAM!M457),\"\")","v":""},{"$f":"IF($A466<>\"\",IF(ZOZNAM!N457=\"\",\"\",ZOZNAM!N457),\"\")","v":"nie"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!O457=\"\",\"\",ZOZNAM!O457),\"\")","v":"nie"},{"$f":"IF($A466<>\"\",IF(ZOZNAM!P457=\"\",\"\",ZOZNAM!P457),\"\")","v":""},{"$f":"IF($A466<>\"\",IF(ZOZNAM!Q457=\"\",\"\",ZOZNAM!Q457),\"\")","v":""},{"$f":"IF($A466<>\"\",IF(ZOZNAM!R457=\"\",\"\",ZOZNAM!R457),\"\")","v":""},{"$f":"IF($A466<>\"\",IF(ZOZNAM!S457=\"\",\"\",ZOZNAM!S457),\"\")","v":""},{"$f":"IF($A466<>\"\",IF(ZOZNAM!T457=\"\",\"\",ZOZNAM!T457),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C460)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C460)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C460)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C460)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C460)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C460)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L460)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L460)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L460)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L460)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L460)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L460)),FALSE))),ZOZNAM!G460>=$C$9),ZOZNAM!A460,\"\")","v":"EM020"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!B460=\"\",\"\",ZOZNAM!B460),\"\")","v":"EcoMod Network"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!C460=\"\",\"\",ZOZNAM!C460),\"\")","v":"Machine Learning with Python for Economics and Econometrics"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!D460=\"\",\"\",ZOZNAM!D460),\"\")","v":"Praha, Česko"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!E460=\"\",\"\",ZOZNAM!E460),\"\")","v":5},{"$f":"IF($A469<>\"\",IF(ZOZNAM!F460=\"\",\"\",ZOZNAM!F460),\"\")","v":5},{"$f":"IF($A469<>\"\",IF(ZOZNAM!G460=\"\",\"\",ZOZNAM!G460),\"\")","v":"2020-06-29"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!H460=\"\",\"\",ZOZNAM!H460),\"\")","v":"2020-07-03"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!I460=\"\",\"\",ZOZNAM!I460),\"\")","v":" 3 767 USD"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!J460=\"\",\"\",ZOZNAM!J460),\"\")","v":""},{"$f":"IF($A469<>\"\",IF(ZOZNAM!K460=\"\",\"\",ZOZNAM!K460),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!L460=\"\",\"\",ZOZNAM!L460),\"\")","v":"The course will introduce all the basic techniques of machine learning using Python, Keras and tensorFlow.\n\nThis course explores the intersection of machine learning and economics. The course will cover standard machine learning techniques such as supervised and unsupervised learning, statistical learning theory and nonparametric and Bayesian approaches. The course is fully hands-on. Participants will learn the essentials of the Python language and how to implement machine learning using Python, Keras, and TensorFlow."},{"$f":"IF($A469<>\"\",IF(ZOZNAM!M460=\"\",\"\",ZOZNAM!M460),\"\")","v":""},{"$f":"IF($A469<>\"\",IF(ZOZNAM!N460=\"\",\"\",ZOZNAM!N460),\"\")","v":"nie"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!O460=\"\",\"\",ZOZNAM!O460),\"\")","v":"nie"},{"$f":"IF($A469<>\"\",IF(ZOZNAM!P460=\"\",\"\",ZOZNAM!P460),\"\")","v":""},{"$f":"IF($A469<>\"\",IF(ZOZNAM!Q460=\"\",\"\",ZOZNAM!Q460),\"\")","v":""},{"$f":"IF($A469<>\"\",IF(ZOZNAM!R460=\"\",\"\",ZOZNAM!R460),\"\")","v":""},{"$f":"IF($A469<>\"\",IF(ZOZNAM!S460=\"\",\"\",ZOZNAM!S460),\"\")","v":""},{"$f":"IF($A469<>\"\",IF(ZOZNAM!T460=\"\",\"\",ZOZNAM!T460),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C462)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C462)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C462)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C462)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C462)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C462)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L462)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L462)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L462)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L462)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L462)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L462)),FALSE))),ZOZNAM!G462>=$C$9),ZOZNAM!A462,\"\")","v":"EM022"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!B462=\"\",\"\",ZOZNAM!B462),\"\")","v":"EcoMod Network"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!C462=\"\",\"\",ZOZNAM!C462),\"\")","v":"Microsimulation Modeling Using Stata for Tax, Pension, and Health Care Policies"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!D462=\"\",\"\",ZOZNAM!D462),\"\")","v":"Praha, Česko"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!E462=\"\",\"\",ZOZNAM!E462),\"\")","v":5},{"$f":"IF($A471<>\"\",IF(ZOZNAM!F462=\"\",\"\",ZOZNAM!F462),\"\")","v":5},{"$f":"IF($A471<>\"\",IF(ZOZNAM!G462=\"\",\"\",ZOZNAM!G462),\"\")","v":"2020-06-29"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!H462=\"\",\"\",ZOZNAM!H462),\"\")","v":"2020-07-03"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!I462=\"\",\"\",ZOZNAM!I462),\"\")","v":" 3 767 USD"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!J462=\"\",\"\",ZOZNAM!J462),\"\")","v":""},{"$f":"IF($A471<>\"\",IF(ZOZNAM!K462=\"\",\"\",ZOZNAM!K462),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!L462=\"\",\"\",ZOZNAM!L462),\"\")","v":"The course provides theoretical foundations and hands-on experience in building and using microsimulation models for tax, pension, health care and social benefit policies.\n\nCourse objective: \nStata\nBuilding and using microsimulation models for personal income tax\nBuilding and using microsimulation models for pensions\nBuilding and using microsimulation models for health care and social benefits\nHow to use survey and administrative data\nHow to link microsimulation to macro or CGE models\nHow to calibrate the model\nStatic and dynamic microsimulation models\nScenario analysis using microsimulation models"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!M462=\"\",\"\",ZOZNAM!M462),\"\")","v":""},{"$f":"IF($A471<>\"\",IF(ZOZNAM!N462=\"\",\"\",ZOZNAM!N462),\"\")","v":"nie"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!O462=\"\",\"\",ZOZNAM!O462),\"\")","v":"nie"},{"$f":"IF($A471<>\"\",IF(ZOZNAM!P462=\"\",\"\",ZOZNAM!P462),\"\")","v":""},{"$f":"IF($A471<>\"\",IF(ZOZNAM!Q462=\"\",\"\",ZOZNAM!Q462),\"\")","v":""},{"$f":"IF($A471<>\"\",IF(ZOZNAM!R462=\"\",\"\",ZOZNAM!R462),\"\")","v":""},{"$f":"IF($A471<>\"\",IF(ZOZNAM!S462=\"\",\"\",ZOZNAM!S462),\"\")","v":""},{"$f":"IF($A471<>\"\",IF(ZOZNAM!T462=\"\",\"\",ZOZNAM!T462),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C463)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C463)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C463)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C463)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C463)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C463)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L463)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L463)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L463)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L463)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L463)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L463)),FALSE))),ZOZNAM!G463>=$C$9),ZOZNAM!A463,\"\")","v":"EM023"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!B463=\"\",\"\",ZOZNAM!B463),\"\")","v":"EcoMod Network"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!C463=\"\",\"\",ZOZNAM!C463),\"\")","v":"Overlapping Generation General Equilibrium Modeling with GAMS"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!D463=\"\",\"\",ZOZNAM!D463),\"\")","v":"Praha, Česko"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!E463=\"\",\"\",ZOZNAM!E463),\"\")","v":5},{"$f":"IF($A472<>\"\",IF(ZOZNAM!F463=\"\",\"\",ZOZNAM!F463),\"\")","v":5},{"$f":"IF($A472<>\"\",IF(ZOZNAM!G463=\"\",\"\",ZOZNAM!G463),\"\")","v":"2020-06-29"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!H463=\"\",\"\",ZOZNAM!H463),\"\")","v":"2020-07-03"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!I463=\"\",\"\",ZOZNAM!I463),\"\")","v":" 3 767 USD"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!J463=\"\",\"\",ZOZNAM!J463),\"\")","v":""},{"$f":"IF($A472<>\"\",IF(ZOZNAM!K463=\"\",\"\",ZOZNAM!K463),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!L463=\"\",\"\",ZOZNAM!L463),\"\")","v":"The course will introduce all the basic tools for constructing and implementing overlapping generations general equilibrium (OLG-GE) models with perfect foresight and finite lifetimes. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nmodeling dynamic consumption behavior in OLG-GE models,\nmodeling dynamic production behavior in OLG-GE models,\nmodeling forward-looking expectations,\nmodeling tax and social security systems,\nbuilding the database for such models,\nintroducing complicated population dynamics and population aging,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results."},{"$f":"IF($A472<>\"\",IF(ZOZNAM!M463=\"\",\"\",ZOZNAM!M463),\"\")","v":""},{"$f":"IF($A472<>\"\",IF(ZOZNAM!N463=\"\",\"\",ZOZNAM!N463),\"\")","v":"nie"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!O463=\"\",\"\",ZOZNAM!O463),\"\")","v":"nie"},{"$f":"IF($A472<>\"\",IF(ZOZNAM!P463=\"\",\"\",ZOZNAM!P463),\"\")","v":""},{"$f":"IF($A472<>\"\",IF(ZOZNAM!Q463=\"\",\"\",ZOZNAM!Q463),\"\")","v":""},{"$f":"IF($A472<>\"\",IF(ZOZNAM!R463=\"\",\"\",ZOZNAM!R463),\"\")","v":""},{"$f":"IF($A472<>\"\",IF(ZOZNAM!S463=\"\",\"\",ZOZNAM!S463),\"\")","v":""},{"$f":"IF($A472<>\"\",IF(ZOZNAM!T463=\"\",\"\",ZOZNAM!T463),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C464)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C464)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C464)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C464)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C464)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C464)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L464)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L464)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L464)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L464)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L464)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L464)),FALSE))),ZOZNAM!G464>=$C$9),ZOZNAM!A464,\"\")","v":"IT007"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!B464=\"\",\"\",ZOZNAM!B464),\"\")","v":"International Tax Center ITC Leiden"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!C464=\"\",\"\",ZOZNAM!C464),\"\")","v":"TP and Digitalization of the Economy"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!D464=\"\",\"\",ZOZNAM!D464),\"\")","v":"Leiden, Holandsko"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!E464=\"\",\"\",ZOZNAM!E464),\"\")","v":5},{"$f":"IF($A473<>\"\",IF(ZOZNAM!F464=\"\",\"\",ZOZNAM!F464),\"\")","v":5},{"$f":"IF($A473<>\"\",IF(ZOZNAM!G464=\"\",\"\",ZOZNAM!G464),\"\")","v":"2020-06-29"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!H464=\"\",\"\",ZOZNAM!H464),\"\")","v":"2020-07-03"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!I464=\"\",\"\",ZOZNAM!I464),\"\")","v":"1000 EUR"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!J464=\"\",\"\",ZOZNAM!J464),\"\")","v":""},{"$f":"IF($A473<>\"\",IF(ZOZNAM!K464=\"\",\"\",ZOZNAM!K464),\"\")","v":"https://www.itc-leiden.nl/en/itc-leiden-2019-2020-adv-llm-single-courses"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!L464=\"\",\"\",ZOZNAM!L464),\"\")","v":"This course focuses on the transfer pricing perspectives of today’s hot topic in the international tax\ndebate: the challenges posed by the digitized economy. After an introduction on the different\nbusiness models applied in the digital economy, an analysis will be made of the transfer pricing\nchallenges and of the approaches suggested by the OECD and EU. This examination will deal with the\napplication of the various solutions (e.g., global formulary apportionment, withholding tax) and will\ninclude an entire day on the application of the profit split to the different business models. The last\nlecture will deal with the new world of the blockchain and its interaction with transfer pricing."},{"$f":"IF($A473<>\"\",IF(ZOZNAM!M464=\"\",\"\",ZOZNAM!M464),\"\")","v":"A 10% discount applies if at least 6 weeks of Transfer Pricing courses (applicable for any combination of Basic, Advanced and Specialized Focus courses) are registered for by the same person. Tuition fees should be receivied by ITC Leiden 30 days before the first day of the course."},{"$f":"IF($A473<>\"\",IF(ZOZNAM!N464=\"\",\"\",ZOZNAM!N464),\"\")","v":"nie"},{"$f":"IF($A473<>\"\",IF(ZOZNAM!O464=\"\",\"\",ZOZNAM!O464),\"\")","v":""},{"$f":"IF($A473<>\"\",IF(ZOZNAM!P464=\"\",\"\",ZOZNAM!P464),\"\")","v":""},{"$f":"IF($A473<>\"\",IF(ZOZNAM!Q464=\"\",\"\",ZOZNAM!Q464),\"\")","v":""},{"$f":"IF($A473<>\"\",IF(ZOZNAM!R464=\"\",\"\",ZOZNAM!R464),\"\")","v":""},{"$f":"IF($A473<>\"\",IF(ZOZNAM!S464=\"\",\"\",ZOZNAM!S464),\"\")","v":""},{"$f":"IF($A473<>\"\",IF(ZOZNAM!T464=\"\",\"\",ZOZNAM!T464),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C465)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C465)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C465)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C465)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C465)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C465)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L465)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L465)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L465)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L465)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L465)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L465)),FALSE))),ZOZNAM!G465>=$C$9),ZOZNAM!A465,\"\")","v":"CU007"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!B465=\"\",\"\",ZOZNAM!B465),\"\")","v":"Cranfield University"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!C465=\"\",\"\",ZOZNAM!C465),\"\")","v":"Strategic Management in Defence"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!D465=\"\",\"\",ZOZNAM!D465),\"\")","v":"Shrivenham, Veľká Británia"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!E465=\"\",\"\",ZOZNAM!E465),\"\")","v":2},{"$f":"IF($A474<>\"\",IF(ZOZNAM!F465=\"\",\"\",ZOZNAM!F465),\"\")","v":3},{"$f":"IF($A474<>\"\",IF(ZOZNAM!G465=\"\",\"\",ZOZNAM!G465),\"\")","v":"2020-05-10"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!H465=\"\",\"\",ZOZNAM!H465),\"\")","v":"2020-05-12"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!I465=\"\",\"\",ZOZNAM!I465),\"\")","v":"1050 GBP (1210 EUR)"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!J465=\"\",\"\",ZOZNAM!J465),\"\")","v":""},{"$f":"IF($A474<>\"\",IF(ZOZNAM!K465=\"\",\"\",ZOZNAM!K465),\"\")","v":"https://www.cranfield.ac.uk/courses/short/defence-and-security/strategic-management-in-defence"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!L465=\"\",\"\",ZOZNAM!L465),\"\")","v":"Knowledge and Understanding: Appraise the key academic theories involved in strategic management, Critically evaluate the potential relevance of these theories in a defence context. Skills: Critically analyse commercial situations to determine the relevance of particular theories, Generate and evaluate debate on the relevance of leadership theories to the defence context, Develop academically grounded arguments to support a particular stance.\n"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!M465=\"\",\"\",ZOZNAM!M465),\"\")","v":""},{"$f":"IF($A474<>\"\",IF(ZOZNAM!N465=\"\",\"\",ZOZNAM!N465),\"\")","v":"nie"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!O465=\"\",\"\",ZOZNAM!O465),\"\")","v":"nie"},{"$f":"IF($A474<>\"\",IF(ZOZNAM!P465=\"\",\"\",ZOZNAM!P465),\"\")","v":""},{"$f":"IF($A474<>\"\",IF(ZOZNAM!Q465=\"\",\"\",ZOZNAM!Q465),\"\")","v":""},{"$f":"IF($A474<>\"\",IF(ZOZNAM!R465=\"\",\"\",ZOZNAM!R465),\"\")","v":""},{"$f":"IF($A474<>\"\",IF(ZOZNAM!S465=\"\",\"\",ZOZNAM!S465),\"\")","v":""},{"$f":"IF($A474<>\"\",IF(ZOZNAM!T465=\"\",\"\",ZOZNAM!T465),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C466)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C466)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C466)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C466)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C466)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C466)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L466)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L466)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L466)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L466)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L466)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L466)),FALSE))),ZOZNAM!G466>=$C$9),ZOZNAM!A466,\"\")","v":"CU011"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!B466=\"\",\"\",ZOZNAM!B466),\"\")","v":"Cranfield University"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!C466=\"\",\"\",ZOZNAM!C466),\"\")","v":"Capability and Acquisition Series Module 3 – Programme and Project Elective - CAPAC3"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!D466=\"\",\"\",ZOZNAM!D466),\"\")","v":"Shrivenham, Veľká Británia"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!E466=\"\",\"\",ZOZNAM!E466),\"\")","v":5},{"$f":"IF($A475<>\"\",IF(ZOZNAM!F466=\"\",\"\",ZOZNAM!F466),\"\")","v":5},{"$f":"IF($A475<>\"\",IF(ZOZNAM!G466=\"\",\"\",ZOZNAM!G466),\"\")","v":"2020-05-18"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!H466=\"\",\"\",ZOZNAM!H466),\"\")","v":"2020-05-22"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!I466=\"\",\"\",ZOZNAM!I466),\"\")","v":"1750 GBP (2020 EUR)"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!J466=\"\",\"\",ZOZNAM!J466),\"\")","v":""},{"$f":"IF($A475<>\"\",IF(ZOZNAM!K466=\"\",\"\",ZOZNAM!K466),\"\")","v":"https://www.cranfield.ac.uk/courses/short/defence-and-security/capability-and-acquisition-series-module-3-programme-and-project-elective"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!L466=\"\",\"\",ZOZNAM!L466),\"\")","v":"By the end of the course you will have an understanding of: practitioner project management or practitioner programme management. If you successfully undertake all 3 modules from the Capability and Acquisition Series you will be awarded one or more of the following (depending on the learning pathway you have chosen):Managing Successful Programmes (Foundation), Managing Successful Programmes (Practitioner), Project Management Qualified (APM PMQ)."},{"$f":"IF($A475<>\"\",IF(ZOZNAM!M466=\"\",\"\",ZOZNAM!M466),\"\")","v":"Before you attend you need to have read ‘How Defence Works’ and undertake one of the following: •Navy – link via DLE to Navy Acquisition System Awareness eLearning v1.0, hosted on the  DLE under courses, •RAF – link via DLE to Air Acquisition Awareness training hosted on the DLE, under schools / RAF / COS Cap, •Army – link via DLE to Acquisition System Awareness ELearning hosted on the DLE, under schools / Army / Army Intelligent Customer / ELearning. "},{"$f":"IF($A475<>\"\",IF(ZOZNAM!N466=\"\",\"\",ZOZNAM!N466),\"\")","v":"nie"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!O466=\"\",\"\",ZOZNAM!O466),\"\")","v":"nie"},{"$f":"IF($A475<>\"\",IF(ZOZNAM!P466=\"\",\"\",ZOZNAM!P466),\"\")","v":""},{"$f":"IF($A475<>\"\",IF(ZOZNAM!Q466=\"\",\"\",ZOZNAM!Q466),\"\")","v":""},{"$f":"IF($A475<>\"\",IF(ZOZNAM!R466=\"\",\"\",ZOZNAM!R466),\"\")","v":""},{"$f":"IF($A475<>\"\",IF(ZOZNAM!S466=\"\",\"\",ZOZNAM!S466),\"\")","v":""},{"$f":"IF($A475<>\"\",IF(ZOZNAM!T466=\"\",\"\",ZOZNAM!T466),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C467)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C467)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C467)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C467)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C467)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C467)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L467)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L467)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L467)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L467)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L467)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L467)),FALSE))),ZOZNAM!G467>=$C$9),ZOZNAM!A467,\"\")","v":"CU009"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!B467=\"\",\"\",ZOZNAM!B467),\"\")","v":"Cranfield University"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!C467=\"\",\"\",ZOZNAM!C467),\"\")","v":"Capability and Acquisition Series Module 1 - Capability"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!D467=\"\",\"\",ZOZNAM!D467),\"\")","v":"Shrivenham, Veľká Británia"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!E467=\"\",\"\",ZOZNAM!E467),\"\")","v":4},{"$f":"IF($A476<>\"\",IF(ZOZNAM!F467=\"\",\"\",ZOZNAM!F467),\"\")","v":4},{"$f":"IF($A476<>\"\",IF(ZOZNAM!G467=\"\",\"\",ZOZNAM!G467),\"\")","v":"2020-06-01"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!H467=\"\",\"\",ZOZNAM!H467),\"\")","v":"2020-06-04"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!I467=\"\",\"\",ZOZNAM!I467),\"\")","v":"1400 GBP (1615 EUR)"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!J467=\"\",\"\",ZOZNAM!J467),\"\")","v":""},{"$f":"IF($A476<>\"\",IF(ZOZNAM!K467=\"\",\"\",ZOZNAM!K467),\"\")","v":"https://www.cranfield.ac.uk/courses/short/defence-and-security/capability-and-acquisition-series-module-1"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!L467=\"\",\"\",ZOZNAM!L467),\"\")","v":"You will acquire an understanding of the MOD’s capability management processes and their application in the development and generation of affordable and strategy-compliant force structures and military. "},{"$f":"IF($A476<>\"\",IF(ZOZNAM!M467=\"\",\"\",ZOZNAM!M467),\"\")","v":"V ponuke je viacero dátumov."},{"$f":"IF($A476<>\"\",IF(ZOZNAM!N467=\"\",\"\",ZOZNAM!N467),\"\")","v":"nie"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!O467=\"\",\"\",ZOZNAM!O467),\"\")","v":"nie"},{"$f":"IF($A476<>\"\",IF(ZOZNAM!P467=\"\",\"\",ZOZNAM!P467),\"\")","v":""},{"$f":"IF($A476<>\"\",IF(ZOZNAM!Q467=\"\",\"\",ZOZNAM!Q467),\"\")","v":""},{"$f":"IF($A476<>\"\",IF(ZOZNAM!R467=\"\",\"\",ZOZNAM!R467),\"\")","v":""},{"$f":"IF($A476<>\"\",IF(ZOZNAM!S467=\"\",\"\",ZOZNAM!S467),\"\")","v":""},{"$f":"IF($A476<>\"\",IF(ZOZNAM!T467=\"\",\"\",ZOZNAM!T467),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C468)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C468)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C468)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C468)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C468)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C468)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L468)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L468)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L468)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L468)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L468)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L468)),FALSE))),ZOZNAM!G468>=$C$9),ZOZNAM!A468,\"\")","v":"MS001"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!B468=\"\",\"\",ZOZNAM!B468),\"\")","v":"Maastricht School of Management"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!C468=\"\",\"\",ZOZNAM!C468),\"\")","v":"Machine Learning and Data Mining using Python"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!D468=\"\",\"\",ZOZNAM!D468),\"\")","v":"Maastricht, Holandsko"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!E468=\"\",\"\",ZOZNAM!E468),\"\")","v":5},{"$f":"IF($A477<>\"\",IF(ZOZNAM!F468=\"\",\"\",ZOZNAM!F468),\"\")","v":6},{"$f":"IF($A477<>\"\",IF(ZOZNAM!G468=\"\",\"\",ZOZNAM!G468),\"\")","v":"2020-06-29"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!H468=\"\",\"\",ZOZNAM!H468),\"\")","v":"2020-07-04"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!I468=\"\",\"\",ZOZNAM!I468),\"\")","v":"850 EUR"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!J468=\"\",\"\",ZOZNAM!J468),\"\")","v":"2020-05-20"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!K468=\"\",\"\",ZOZNAM!K468),\"\")","v":"https://www.msm.nl/education-programs/research-summer-school/machine-learning-data-mining-with-python/intro-machine-learning-data-mining"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!L468=\"\",\"\",ZOZNAM!L468),\"\")","v":"This 6-day course will familiarize participants with Machine Learning and Data Mining algorithms using the Python programming language. You will learn to recognize the correct machine learning approach for a given problem; furthermore, participants will learn how to implement several different algorithms. Finally, towards the end of the course we will introduce more advance machine learning topics and methodologies for combining several approaches to solve specialized problems. The lab classes will use the Python programming language and public data sets. The solutions to the exercises can easily be transferred to other programming languages such as R or Octave."},{"$f":"IF($A477<>\"\",IF(ZOZNAM!M468=\"\",\"\",ZOZNAM!M468),\"\")","v":"Early Bird Fee (780 EUR - registration until 20.4.2020)"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!N468=\"\",\"\",ZOZNAM!N468),\"\")","v":"nie"},{"$f":"IF($A477<>\"\",IF(ZOZNAM!O468=\"\",\"\",ZOZNAM!O468),\"\")","v":""},{"$f":"IF($A477<>\"\",IF(ZOZNAM!P468=\"\",\"\",ZOZNAM!P468),\"\")","v":""},{"$f":"IF($A477<>\"\",IF(ZOZNAM!Q468=\"\",\"\",ZOZNAM!Q468),\"\")","v":""},{"$f":"IF($A477<>\"\",IF(ZOZNAM!R468=\"\",\"\",ZOZNAM!R468),\"\")","v":""},{"$f":"IF($A477<>\"\",IF(ZOZNAM!S468=\"\",\"\",ZOZNAM!S468),\"\")","v":""},{"$f":"IF($A477<>\"\",IF(ZOZNAM!T468=\"\",\"\",ZOZNAM!T468),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C469)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C469)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C469)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C469)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C469)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C469)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L469)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L469)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L469)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L469)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L469)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L469)),FALSE))),ZOZNAM!G469>=$C$9),ZOZNAM!A469,\"\")","v":"SU001"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!B469=\"\",\"\",ZOZNAM!B469),\"\")","v":"Stanford University"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!C469=\"\",\"\",ZOZNAM!C469),\"\")","v":"Statistics for Artificial Intelligence, Machine Learning, and Data Science: An Introduction"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!D469=\"\",\"\",ZOZNAM!D469),\"\")","v":"Online"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!E469=\"\",\"\",ZOZNAM!E469),\"\")","v":45},{"$f":"IF($A478<>\"\",IF(ZOZNAM!F469=\"\",\"\",ZOZNAM!F469),\"\")","v":61},{"$f":"IF($A478<>\"\",IF(ZOZNAM!G469=\"\",\"\",ZOZNAM!G469),\"\")","v":"2020-06-29"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!H469=\"\",\"\",ZOZNAM!H469),\"\")","v":"2020-08-28"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!I469=\"\",\"\",ZOZNAM!I469),\"\")","v":"575 USD"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!J469=\"\",\"\",ZOZNAM!J469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!K469=\"\",\"\",ZOZNAM!K469),\"\")","v":"https://continuingstudies.stanford.edu/courses/professional-and-personal-development/statistics-for-artificial-intelligence-machine-learning-and-data-science-an-introduction/20194_STAT-05-W"},{"$f":"IF($A478<>\"\",IF(ZOZNAM!L469=\"\",\"\",ZOZNAM!L469),\"\")","v":"This online course will give students a high-level overview of some of the most common concepts in statistics that make AI and ML possible. Indeed, many of the newest algorithms, such as neural networks, random forests, and k-nearest neighbors, use statistics not only to build a model but also to evaluate its accuracy. The course will cover two broad areas of statistics: inference and prediction. The inference portion will introduce common statistical concepts that allow us to understand a population and test hypotheses (such as performing A/B tests and calculating and interpreting p-values). The prediction section will begin with the simplest of algorithms (linear regression) and gradually touch upon more advanced topics such as random forests and cross-validation. Real-world examples will be used from the fields of healthcare, genetics, marketing, and manufacturing. By the end of the course, students will have a high-level understanding of common statistical tools used in AI and ML algorithms and be able to derive their own conclusions from statistical studies."},{"$f":"IF($A478<>\"\",IF(ZOZNAM!M469=\"\",\"\",ZOZNAM!M469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!N469=\"\",\"\",ZOZNAM!N469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!O469=\"\",\"\",ZOZNAM!O469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!P469=\"\",\"\",ZOZNAM!P469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!Q469=\"\",\"\",ZOZNAM!Q469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!R469=\"\",\"\",ZOZNAM!R469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!S469=\"\",\"\",ZOZNAM!S469),\"\")","v":""},{"$f":"IF($A478<>\"\",IF(ZOZNAM!T469=\"\",\"\",ZOZNAM!T469),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C470)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C470)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C470)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C470)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C470)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C470)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L470)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L470)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L470)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L470)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L470)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L470)),FALSE))),ZOZNAM!G470>=$C$9),ZOZNAM!A470,\"\")","v":"UT323"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!B470=\"\",\"\",ZOZNAM!B470),\"\")","v":"Utrecht University"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!C470=\"\",\"\",ZOZNAM!C470),\"\")","v":"Systemic reviews and meta-analysis of individual participant data (IPD)"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!D470=\"\",\"\",ZOZNAM!D470),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!E470=\"\",\"\",ZOZNAM!E470),\"\")","v":5},{"$f":"IF($A479<>\"\",IF(ZOZNAM!F470=\"\",\"\",ZOZNAM!F470),\"\")","v":5},{"$f":"IF($A479<>\"\",IF(ZOZNAM!G470=\"\",\"\",ZOZNAM!G470),\"\")","v":"2020-06-29"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!H470=\"\",\"\",ZOZNAM!H470),\"\")","v":"2020-07-03"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!I470=\"\",\"\",ZOZNAM!I470),\"\")","v":"830 EUR"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!J470=\"\",\"\",ZOZNAM!J470),\"\")","v":""},{"$f":"IF($A479<>\"\",IF(ZOZNAM!K470=\"\",\"\",ZOZNAM!K470),\"\")","v":"https://www.uu.nl/en/professionals/programmes/systematic-reviews-and-meta-analysis-of-individual-participant-data-ipd"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!L470=\"\",\"\",ZOZNAM!L470),\"\")","v":"The course consists of plenary presentations, small-group discussions, reading assignments, and computer exercises. The course ends with an exam. \n\nAt the end of the course, you will be able to: \n\nExplain the rationale for performing an individual participant data meta-analysis (IPD-MA)\nUnderstand the advantages, limitations and key characteristics of IPD-MA in intervention, diagnostic and prognostic research\nUnderstand the relevance of between-study heterogeneity, and be familiar with statistical methods for investigating and reporting this.\nBe familiar with statistical methods for summarizing relative treatment effects and exploring the presence of treatment-covariate interaction\nBe familiar with statistical methods for developing and validating clinical prediction models using IPD from multiple studies or settings\nBe familiar with statistical methods for investigating and comparing diagnostic test accuracy using IPD\nInterpret and critically appraise the results from an IPD-MA"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!M470=\"\",\"\",ZOZNAM!M470),\"\")","v":"we expect participants to have a basic knowledge about the principles of intervention research, diagnostic research, prognostic research, systematic reviews and meta-analysis"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!N470=\"\",\"\",ZOZNAM!N470),\"\")","v":"nie"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!O470=\"\",\"\",ZOZNAM!O470),\"\")","v":"áno"},{"$f":"IF($A479<>\"\",IF(ZOZNAM!P470=\"\",\"\",ZOZNAM!P470),\"\")","v":2},{"$f":"IF($A479<>\"\",IF(ZOZNAM!Q470=\"\",\"\",ZOZNAM!Q470),\"\")","v":""},{"$f":"IF($A479<>\"\",IF(ZOZNAM!R470=\"\",\"\",ZOZNAM!R470),\"\")","v":""},{"$f":"IF($A479<>\"\",IF(ZOZNAM!S470=\"\",\"\",ZOZNAM!S470),\"\")","v":""},{"$f":"IF($A479<>\"\",IF(ZOZNAM!T470=\"\",\"\",ZOZNAM!T470),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C474)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C474)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C474)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C474)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C474)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C474)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L474)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L474)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L474)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L474)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L474)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L474)),FALSE))),ZOZNAM!G474>=$C$9),ZOZNAM!A474,\"\")","v":"VU322"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!B474=\"\",\"\",ZOZNAM!B474),\"\")","v":"VU University Amsterdam"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!C474=\"\",\"\",ZOZNAM!C474),\"\")","v":"Global Health"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!D474=\"\",\"\",ZOZNAM!D474),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!E474=\"\",\"\",ZOZNAM!E474),\"\")","v":10},{"$f":"IF($A483<>\"\",IF(ZOZNAM!F474=\"\",\"\",ZOZNAM!F474),\"\")","v":15},{"$f":"IF($A483<>\"\",IF(ZOZNAM!G474=\"\",\"\",ZOZNAM!G474),\"\")","v":"2020-07-18"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!H474=\"\",\"\",ZOZNAM!H474),\"\")","v":"2020-08-01"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!I474=\"\",\"\",ZOZNAM!I474),\"\")","v":"1 150 EUR"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!J474=\"\",\"\",ZOZNAM!J474),\"\")","v":""},{"$f":"IF($A483<>\"\",IF(ZOZNAM!K474=\"\",\"\",ZOZNAM!K474),\"\")","v":"https://www.vu.nl/en/programmes/short/summer-school/courses/global-health/index.aspx"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!L474=\"\",\"\",ZOZNAM!L474),\"\")","v":"This course provides you with in-depth insights into the growing complexity of the burden of disease, particularly in low and middle-income countries, as well as the main challenges surrounding health systems, infectious and non-communicable conditions, child and reproductive health. It equips you with a critical and holistic view on these challenges as well as the potential solutions.\nThanks to our association with the Amsterdam Institute of Global Health and Development (AIGHD), we offer you access to an extensive network of partners and experts in health and related domains. In group discussions and debates, they invite you to think critically about these issues around the world. Your learning experience is further enriched through thought-provoking interviews with key local and international actors in the field."},{"$f":"IF($A483<>\"\",IF(ZOZNAM!M474=\"\",\"\",ZOZNAM!M474),\"\")","v":"Airport pick-up service\nCourse excursions\nOrientation programme and welcome\nOn-site support and 24/7 emergency assistance\nA transcript of records and certificate of attendance after completing the course\nMeal vouchers to be spent at the university restaurant for either lunch or dinner\nA discounted access to our sport facilities"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!N474=\"\",\"\",ZOZNAM!N474),\"\")","v":"nie"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!O474=\"\",\"\",ZOZNAM!O474),\"\")","v":"nie"},{"$f":"IF($A483<>\"\",IF(ZOZNAM!P474=\"\",\"\",ZOZNAM!P474),\"\")","v":""},{"$f":"IF($A483<>\"\",IF(ZOZNAM!Q474=\"\",\"\",ZOZNAM!Q474),\"\")","v":""},{"$f":"IF($A483<>\"\",IF(ZOZNAM!R474=\"\",\"\",ZOZNAM!R474),\"\")","v":""},{"$f":"IF($A483<>\"\",IF(ZOZNAM!S474=\"\",\"\",ZOZNAM!S474),\"\")","v":""},{"$f":"IF($A483<>\"\",IF(ZOZNAM!T474=\"\",\"\",ZOZNAM!T474),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C475)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C475)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C475)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C475)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C475)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C475)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L475)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L475)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L475)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L475)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L475)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L475)),FALSE))),ZOZNAM!G475>=$C$9),ZOZNAM!A475,\"\")","v":"MA241"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!B475=\"\",\"\",ZOZNAM!B475),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!C475=\"\",\"\",ZOZNAM!C475),\"\")","v":"Foundations of Data and Models: Regression Analytics"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!D475=\"\",\"\",ZOZNAM!D475),\"\")","v":"Online"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!E475=\"\",\"\",ZOZNAM!E475),\"\")","v":5},{"$f":"IF($A484<>\"\",IF(ZOZNAM!F475=\"\",\"\",ZOZNAM!F475),\"\")","v":5},{"$f":"IF($A484<>\"\",IF(ZOZNAM!G475=\"\",\"\",ZOZNAM!G475),\"\")","v":"2020-07-20"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!H475=\"\",\"\",ZOZNAM!H475),\"\")","v":"2020-07-24"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!I475=\"\",\"\",ZOZNAM!I475),\"\")","v":"4500 USD"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!J475=\"\",\"\",ZOZNAM!J475),\"\")","v":"2020-07-13"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!K475=\"\",\"\",ZOZNAM!K475),\"\")","v":"https://professional.mit.edu/course-catalog/foundations-data-and-models-regression-analytics"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!L475=\"\",\"\",ZOZNAM!L475),\"\")","v":"This course aims to teach a suite of algorithms and concepts to a diverse set of participants interested in the general concept of fitting data to models. It starts with mostly simple linear algebra and computational methods, and introduces some more difficult mathematical concepts towards the end. This method also, by design, fits in with our approach of morning lectures and afternoon practice on personal computers. The combined teaching system provides opportunities for much hands-on learning and participants leave the course with practical knowledge of the basic algorithms.\n\nApplied data science enjoys widespread application in nearly every industry today. It lies at the intersection of the quantitative (statistics and optimization), the computational (programming and IT), and the domanial (business knowledge).\n\nParticipant Takeaways\nExamining how to fit data to models\nDefining linear least squares, non-linear least squares, singular value decomposition, sensitivity analysis, experiment design, and parameter error estimation\nAppreciating grid search, random search, simulated annealing, genetic algorithms, neural networks, and large inverse systems\nInvestigating principles leading to rapid application of methods\nEvaluating the results of pre-programmed computer exercises"},{"$f":"IF($A484<>\"\",IF(ZOZNAM!M475=\"\",\"\",ZOZNAM!M475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!N475=\"\",\"\",ZOZNAM!N475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!O475=\"\",\"\",ZOZNAM!O475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!P475=\"\",\"\",ZOZNAM!P475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!Q475=\"\",\"\",ZOZNAM!Q475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!R475=\"\",\"\",ZOZNAM!R475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!S475=\"\",\"\",ZOZNAM!S475),\"\")","v":""},{"$f":"IF($A484<>\"\",IF(ZOZNAM!T475=\"\",\"\",ZOZNAM!T475),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C477)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C477)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C477)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C477)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C477)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C477)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L477)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L477)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L477)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L477)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L477)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L477)),FALSE))),ZOZNAM!G477>=$C$9),ZOZNAM!A477,\"\")","v":"TI288"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!B477=\"\",\"\",ZOZNAM!B477),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!C477=\"\",\"\",ZOZNAM!C477),\"\")","v":"Summer School Course - Forecasting with EViews "},{"$f":"IF($A486<>\"\",IF(ZOZNAM!D477=\"\",\"\",ZOZNAM!D477),\"\")","v":"Online"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!E477=\"\",\"\",ZOZNAM!E477),\"\")","v":5},{"$f":"IF($A486<>\"\",IF(ZOZNAM!F477=\"\",\"\",ZOZNAM!F477),\"\")","v":5},{"$f":"IF($A486<>\"\",IF(ZOZNAM!G477=\"\",\"\",ZOZNAM!G477),\"\")","v":"2020-07-20"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!H477=\"\",\"\",ZOZNAM!H477),\"\")","v":"2020-07-24"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!I477=\"\",\"\",ZOZNAM!I477),\"\")","v":"150 (1 day) - 750 (5 days)"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!J477=\"\",\"\",ZOZNAM!J477),\"\")","v":"2020-07-18"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!K477=\"\",\"\",ZOZNAM!K477),\"\")","v":"https://www.timberlake.co.uk/courses/eviews-forecast-summer-school-20.html"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!L477=\"\",\"\",ZOZNAM!L477),\"\")","v":"The 2020 EViews Summer School comprises a series of 5 1-day courses running consecutively. \n\nThe courses are to be delivered by Prof. Lorenzo Trapani of the University of Nottingham. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 11 software. \n"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!M477=\"\",\"\",ZOZNAM!M477),\"\")","v":"Apply and pay before 19 July 2020"},{"$f":"IF($A486<>\"\",IF(ZOZNAM!N477=\"\",\"\",ZOZNAM!N477),\"\")","v":""},{"$f":"IF($A486<>\"\",IF(ZOZNAM!O477=\"\",\"\",ZOZNAM!O477),\"\")","v":""},{"$f":"IF($A486<>\"\",IF(ZOZNAM!P477=\"\",\"\",ZOZNAM!P477),\"\")","v":2},{"$f":"IF($A486<>\"\",IF(ZOZNAM!Q477=\"\",\"\",ZOZNAM!Q477),\"\")","v":""},{"$f":"IF($A486<>\"\",IF(ZOZNAM!R477=\"\",\"\",ZOZNAM!R477),\"\")","v":""},{"$f":"IF($A486<>\"\",IF(ZOZNAM!S477=\"\",\"\",ZOZNAM!S477),\"\")","v":""},{"$f":"IF($A486<>\"\",IF(ZOZNAM!T477=\"\",\"\",ZOZNAM!T477),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C478)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C478)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C478)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C478)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C478)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C478)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L478)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L478)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L478)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L478)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L478)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L478)),FALSE))),ZOZNAM!G478>=$C$9),ZOZNAM!A478,\"\")","v":"TI289"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!B478=\"\",\"\",ZOZNAM!B478),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!C478=\"\",\"\",ZOZNAM!C478),\"\")","v":"Advanced Panel Data Analysis with Stata "},{"$f":"IF($A487<>\"\",IF(ZOZNAM!D478=\"\",\"\",ZOZNAM!D478),\"\")","v":"Online"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!E478=\"\",\"\",ZOZNAM!E478),\"\")","v":2},{"$f":"IF($A487<>\"\",IF(ZOZNAM!F478=\"\",\"\",ZOZNAM!F478),\"\")","v":2},{"$f":"IF($A487<>\"\",IF(ZOZNAM!G478=\"\",\"\",ZOZNAM!G478),\"\")","v":"2020-07-20"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!H478=\"\",\"\",ZOZNAM!H478),\"\")","v":"2020-07-21"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!I478=\"\",\"\",ZOZNAM!I478),\"\")","v":"450 GBP"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!J478=\"\",\"\",ZOZNAM!J478),\"\")","v":"2020-07-18"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!K478=\"\",\"\",ZOZNAM!K478),\"\")","v":"https://www.timberlake.co.uk/courses/advanced-panel-data-analysis-with-stata.html"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!L478=\"\",\"\",ZOZNAM!L478),\"\")","v":"The course follows the Panel data Analysis with Stata and aims at provide participants with a theoretical and practical understanding of advanced panel methods, i.e. non-linear panel models.\n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis. \n"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!M478=\"\",\"\",ZOZNAM!M478),\"\")","v":"Apply and pay before 19 July 2020"},{"$f":"IF($A487<>\"\",IF(ZOZNAM!N478=\"\",\"\",ZOZNAM!N478),\"\")","v":""},{"$f":"IF($A487<>\"\",IF(ZOZNAM!O478=\"\",\"\",ZOZNAM!O478),\"\")","v":""},{"$f":"IF($A487<>\"\",IF(ZOZNAM!P478=\"\",\"\",ZOZNAM!P478),\"\")","v":2},{"$f":"IF($A487<>\"\",IF(ZOZNAM!Q478=\"\",\"\",ZOZNAM!Q478),\"\")","v":""},{"$f":"IF($A487<>\"\",IF(ZOZNAM!R478=\"\",\"\",ZOZNAM!R478),\"\")","v":""},{"$f":"IF($A487<>\"\",IF(ZOZNAM!S478=\"\",\"\",ZOZNAM!S478),\"\")","v":""},{"$f":"IF($A487<>\"\",IF(ZOZNAM!T478=\"\",\"\",ZOZNAM!T478),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C479)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C479)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C479)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C479)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C479)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C479)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L479)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L479)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L479)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L479)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L479)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L479)),FALSE))),ZOZNAM!G479>=$C$9),ZOZNAM!A479,\"\")","v":"EL002"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!B479=\"\",\"\",ZOZNAM!B479),\"\")","v":"EML Learning"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!C479=\"\",\"\",ZOZNAM!C479),\"\")","v":"Applying Econometrics for Policy Evaluation"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!D479=\"\",\"\",ZOZNAM!D479),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!E479=\"\",\"\",ZOZNAM!E479),\"\")","v":2},{"$f":"IF($A488<>\"\",IF(ZOZNAM!F479=\"\",\"\",ZOZNAM!F479),\"\")","v":2},{"$f":"IF($A488<>\"\",IF(ZOZNAM!G479=\"\",\"\",ZOZNAM!G479),\"\")","v":"2020-03-09"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!H479=\"\",\"\",ZOZNAM!H479),\"\")","v":"2020-03-10"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!I479=\"\",\"\",ZOZNAM!I479),\"\")","v":"698 GBP + VAT"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!J479=\"\",\"\",ZOZNAM!J479),\"\")","v":""},{"$f":"IF($A488<>\"\",IF(ZOZNAM!K479=\"\",\"\",ZOZNAM!K479),\"\")","v":"https://www.eml-learning.co.uk/course-categories/economics-courses/applying-econometrics-for-policy-evaluation/"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!L479=\"\",\"\",ZOZNAM!L479),\"\")","v":"This two-day course covers a range of econometric evaluation techniques that are used to gauge policy impacts (with a focus on microeconomic contexts). Consideration is given to standard regression-based approaches, instrumental methods, difference-in-differences and matching methods. Regression discontinuity and fixed effects panel data estimation are also considered. We focus attention on findings from a number of key academic journal articles, together with government-commissioned studies. The course gives attendees a good overview of the approaches considered, their strengths and weaknesses, together with a more detailed consideration of practical estimation for each method. We will not be working on computers, but direction on basic STATA commands is provided for the main methods covered. The course helps attendees identify the potential pitfalls that one encounters when attempting to answer policy questions using microeconometric techniques, and the practical steps to avoid these."},{"$f":"IF($A488<>\"\",IF(ZOZNAM!M479=\"\",\"\",ZOZNAM!M479),\"\")","v":""},{"$f":"IF($A488<>\"\",IF(ZOZNAM!N479=\"\",\"\",ZOZNAM!N479),\"\")","v":"nie"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!O479=\"\",\"\",ZOZNAM!O479),\"\")","v":"nie"},{"$f":"IF($A488<>\"\",IF(ZOZNAM!P479=\"\",\"\",ZOZNAM!P479),\"\")","v":""},{"$f":"IF($A488<>\"\",IF(ZOZNAM!Q479=\"\",\"\",ZOZNAM!Q479),\"\")","v":""},{"$f":"IF($A488<>\"\",IF(ZOZNAM!R479=\"\",\"\",ZOZNAM!R479),\"\")","v":""},{"$f":"IF($A488<>\"\",IF(ZOZNAM!S479=\"\",\"\",ZOZNAM!S479),\"\")","v":""},{"$f":"IF($A488<>\"\",IF(ZOZNAM!T479=\"\",\"\",ZOZNAM!T479),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C480)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C480)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C480)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C480)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C480)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C480)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L480)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L480)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L480)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L480)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L480)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L480)),FALSE))),ZOZNAM!G480>=$C$9),ZOZNAM!A480,\"\")","v":"EB001"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!B480=\"\",\"\",ZOZNAM!B480),\"\")","v":"European Central Bank"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!C480=\"\",\"\",ZOZNAM!C480),\"\")","v":"11th ECB Conference on Forecasting Techniques - Avenues for the next 20 years"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!D480=\"\",\"\",ZOZNAM!D480),\"\")","v":"Frankfurt nad Mohanom, Nemecko"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!E480=\"\",\"\",ZOZNAM!E480),\"\")","v":2},{"$f":"IF($A489<>\"\",IF(ZOZNAM!F480=\"\",\"\",ZOZNAM!F480),\"\")","v":2},{"$f":"IF($A489<>\"\",IF(ZOZNAM!G480=\"\",\"\",ZOZNAM!G480),\"\")","v":"2020-06-08"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!H480=\"\",\"\",ZOZNAM!H480),\"\")","v":"2020-06-09"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!I480=\"\",\"\",ZOZNAM!I480),\"\")","v":"0 EUR"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!J480=\"\",\"\",ZOZNAM!J480),\"\")","v":""},{"$f":"IF($A489<>\"\",IF(ZOZNAM!K480=\"\",\"\",ZOZNAM!K480),\"\")","v":"https://www.ecb.europa.eu/pub/conferences/html/20200608_forecasting_techniques.en.html"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!L480=\"\",\"\",ZOZNAM!L480),\"\")","v":"This biennial conference provides a forum for new theoretical and applied work on forecasting. For more than a decade the world economy has operated under high economic, financial and – more recently – also political risks. Macroeconomic forecasting in such an environment has to be able to cope with high uncertainty, nonlinearities and structural breaks.\n\nThis conference will bring together experts from different fields to exchange new ideas on macroeconomic and financial forecasting when uncertainty is high. It will look for ways to put new insights from econometric and statistical theory into practice, especially in the current macroeconomic environment. We particularly encourage submissions on the following topics:\n\nuncertainty and the economic cycle;\nrobust forecasting in the presence of nonlinearities and structural breaks;\nmodelling and forecasting tail events;\nforecasting with dynamic panels and with large VARs;\nmachine learning and scalable forecasting methods;\nforecasting inflation, real activity, and exchange rates;\nbig and/or unstructured data and dimension reduction techniques.\nThe scope of the conference is not limited to the topics listed above and submissions from all areas of forecasting are welcome."},{"$f":"IF($A489<>\"\",IF(ZOZNAM!M480=\"\",\"\",ZOZNAM!M480),\"\")","v":"Travel and accommodation expenses of the presenters of accepted papers and of discussants will be covered by the ECB. (Participants from the European System of Central Banks and from European institutions will be expected to cover their own expenses.)"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!N480=\"\",\"\",ZOZNAM!N480),\"\")","v":"áno"},{"$f":"IF($A489<>\"\",IF(ZOZNAM!O480=\"\",\"\",ZOZNAM!O480),\"\")","v":""},{"$f":"IF($A489<>\"\",IF(ZOZNAM!P480=\"\",\"\",ZOZNAM!P480),\"\")","v":""},{"$f":"IF($A489<>\"\",IF(ZOZNAM!Q480=\"\",\"\",ZOZNAM!Q480),\"\")","v":""},{"$f":"IF($A489<>\"\",IF(ZOZNAM!R480=\"\",\"\",ZOZNAM!R480),\"\")","v":""},{"$f":"IF($A489<>\"\",IF(ZOZNAM!S480=\"\",\"\",ZOZNAM!S480),\"\")","v":""},{"$f":"IF($A489<>\"\",IF(ZOZNAM!T480=\"\",\"\",ZOZNAM!T480),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C481)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C481)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C481)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C481)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C481)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C481)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L481)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L481)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L481)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L481)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L481)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L481)),FALSE))),ZOZNAM!G481>=$C$9),ZOZNAM!A481,\"\")","v":"EC203"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!B481=\"\",\"\",ZOZNAM!B481),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!C481=\"\",\"\",ZOZNAM!C481),\"\")","v":"Seasoned Scholar Workshop: Quantitative Methods"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!D481=\"\",\"\",ZOZNAM!D481),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!E481=\"\",\"\",ZOZNAM!E481),\"\")","v":2},{"$f":"IF($A490<>\"\",IF(ZOZNAM!F481=\"\",\"\",ZOZNAM!F481),\"\")","v":3},{"$f":"IF($A490<>\"\",IF(ZOZNAM!G481=\"\",\"\",ZOZNAM!G481),\"\")","v":"2020-02-13"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!H481=\"\",\"\",ZOZNAM!H481),\"\")","v":"2020-02-15"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!I481=\"\",\"\",ZOZNAM!I481),\"\")","v":"3 060 EUR"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!J481=\"\",\"\",ZOZNAM!J481),\"\")","v":"2019-12-12"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!K481=\"\",\"\",ZOZNAM!K481),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9107&EventID=140"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!L481=\"\",\"\",ZOZNAM!L481),\"\")","v":"This Workshop is tailored for scholars with significant research experience beyond their PhD, and organised on a flexible basis to meet specific methodological needs.\n\nTamás will cover a broad span of statistical and formal methods. Depending on participants’ needs, this may include aspects of survey and experimental design, quality control, missing data, methods of causal analysis, graphical modelling (aka Bayesian networks), and methods for the detection and analysis of higher dimensional interactions. Some issues of ‘mixed’ methods designs, with a strong quantitative component, may also be covered.\n \n\nLong Course Outline \n\n\n\nIf you are an experienced scholar with significant research experience beyond your PhD, and/or if you occupy a senior academic role, this Workshop is for you.\n\nTypical research methods needs / challenges you might face include:\n•writing up the methods section of a research project\n•choosing the appropriate method(s) for a funded project\n•arbitrating between methodological options\n•updating your knowledge of recent evolutions in methods applicable to your field\n•troubleshooting your own methods use\n•learning which methods experts to contact for what\n•getting advice on methods training for your team members\n•receiving feedback on a syllabus you are putting together\n•getting advice on methodological topics in existing syllabi\n•writing up methods sections of publications (articles, books, reports, etc)\n\nWe recognise that time is scarce for seasoned scholars like you. This Workshop offers you a time-efficient formula to get tailored advice from an expert team.\n\nThis Workshop is organised on a flexible basis to meet your specific needs. It covers a broad span of statistical and formal methods. Depending on participants’ needs, this may include aspects of survey and experimental design, quality control, missing data, methods of causal analysis, graphical modelling (aka Bayesian networks), and methods for the detection and analysis of higher dimensional interactions. Some issues of ‘mixed’ methods designs, with a strong quantitative component, may also be covered.\n"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!M481=\"\",\"\",ZOZNAM!M481),\"\")","v":"09:00–17:00 each day (organised flexibly)"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!N481=\"\",\"\",ZOZNAM!N481),\"\")","v":"nie"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!O481=\"\",\"\",ZOZNAM!O481),\"\")","v":"nie"},{"$f":"IF($A490<>\"\",IF(ZOZNAM!P481=\"\",\"\",ZOZNAM!P481),\"\")","v":1.8},{"$f":"IF($A490<>\"\",IF(ZOZNAM!Q481=\"\",\"\",ZOZNAM!Q481),\"\")","v":""},{"$f":"IF($A490<>\"\",IF(ZOZNAM!R481=\"\",\"\",ZOZNAM!R481),\"\")","v":""},{"$f":"IF($A490<>\"\",IF(ZOZNAM!S481=\"\",\"\",ZOZNAM!S481),\"\")","v":""},{"$f":"IF($A490<>\"\",IF(ZOZNAM!T481=\"\",\"\",ZOZNAM!T481),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C482)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C482)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C482)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C482)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C482)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C482)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L482)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L482)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L482)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L482)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L482)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L482)),FALSE))),ZOZNAM!G482>=$C$9),ZOZNAM!A482,\"\")","v":"EC204"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!B482=\"\",\"\",ZOZNAM!B482),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!C482=\"\",\"\",ZOZNAM!C482),\"\")","v":"Seasoned Scholar Workshop: Multi-Method Designs, Case-Oriented and Comparative Methods"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!D482=\"\",\"\",ZOZNAM!D482),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!E482=\"\",\"\",ZOZNAM!E482),\"\")","v":2},{"$f":"IF($A491<>\"\",IF(ZOZNAM!F482=\"\",\"\",ZOZNAM!F482),\"\")","v":3},{"$f":"IF($A491<>\"\",IF(ZOZNAM!G482=\"\",\"\",ZOZNAM!G482),\"\")","v":"2020-02-13"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!H482=\"\",\"\",ZOZNAM!H482),\"\")","v":"2020-02-15"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!I482=\"\",\"\",ZOZNAM!I482),\"\")","v":"3 060 EUR"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!J482=\"\",\"\",ZOZNAM!J482),\"\")","v":"2019-12-12"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!K482=\"\",\"\",ZOZNAM!K482),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9108&EventID=140"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!L482=\"\",\"\",ZOZNAM!L482),\"\")","v":"This Workshop is tailored for scholars with significant research experience beyond their PhD, and organised on a flexible basis to meet specific needs.\n\nIt covers a broad range of case-oriented methods and designs (single case studies, process tracing, ‘thick’ binary comparisons, etc…), comparative methods and designs (small-N comparisons, intermediate-N comparison across multiple cases, Qualitative Comparative Analysis (QCA) and neighbouring methods, typology-building, etc.), and ‘mixed’/multi-methods designs combining qualitative, comparative and/or quantitative methods.\n \n\nLong Course Outline \n\n\n\nIf you are an experienced scholar with significant research experience beyond your PhD, and/or if you occupy a senior academic role, this Workshop is for you.\n\nTypical research methods needs / challenges you might face include:\n•writing up the methods section of a research project\n•choosing the appropriate method(s) for a funded project\n•arbitrating between methodological options\n•updating your knowledge of recent evolutions in methods applicable to your field\n•troubleshooting your own methods use\n•learning which methods experts to contact for what\n•getting advice on methods training for your team members\n•receiving feedback on a syllabus you are putting together\n•getting advice on methodological topics in existing syllabi\n•writing up methods sections of publications (articles, books, reports, etc)\n\nWe recognise that time is scarce for seasoned scholars like you. This Workshop offers you a time-efficient formula to get tailored advice from an expert team.\n\nIt covers a broad range of case-oriented methods and designs (single case studies, process tracing, ‘thick’ binary comparisons, etc…), comparative methods and designs (small-N comparisons, intermediate-N comparison across multiple cases, Qualitative Comparative Analysis (QCA) and neighbouring methods, typology-building, etc.), and ‘mixed’/multi-methods designs combining qualitative, comparative and/or quantitative methods."},{"$f":"IF($A491<>\"\",IF(ZOZNAM!M482=\"\",\"\",ZOZNAM!M482),\"\")","v":"09:00–17:00 each day (organised flexibly)"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!N482=\"\",\"\",ZOZNAM!N482),\"\")","v":"nie"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!O482=\"\",\"\",ZOZNAM!O482),\"\")","v":"nie"},{"$f":"IF($A491<>\"\",IF(ZOZNAM!P482=\"\",\"\",ZOZNAM!P482),\"\")","v":1.8},{"$f":"IF($A491<>\"\",IF(ZOZNAM!Q482=\"\",\"\",ZOZNAM!Q482),\"\")","v":""},{"$f":"IF($A491<>\"\",IF(ZOZNAM!R482=\"\",\"\",ZOZNAM!R482),\"\")","v":""},{"$f":"IF($A491<>\"\",IF(ZOZNAM!S482=\"\",\"\",ZOZNAM!S482),\"\")","v":""},{"$f":"IF($A491<>\"\",IF(ZOZNAM!T482=\"\",\"\",ZOZNAM!T482),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C483)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C483)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C483)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C483)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C483)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C483)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L483)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L483)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L483)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L483)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L483)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L483)),FALSE))),ZOZNAM!G483>=$C$9),ZOZNAM!A483,\"\")","v":"EC205"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!B483=\"\",\"\",ZOZNAM!B483),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!C483=\"\",\"\",ZOZNAM!C483),\"\")","v":"Foundations of Set-Theoretic and Case-Oriented Methods"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!D483=\"\",\"\",ZOZNAM!D483),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!E483=\"\",\"\",ZOZNAM!E483),\"\")","v":1},{"$f":"IF($A492<>\"\",IF(ZOZNAM!F483=\"\",\"\",ZOZNAM!F483),\"\")","v":2},{"$f":"IF($A492<>\"\",IF(ZOZNAM!G483=\"\",\"\",ZOZNAM!G483),\"\")","v":"2020-02-14"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!H483=\"\",\"\",ZOZNAM!H483),\"\")","v":"2020-02-15"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!I483=\"\",\"\",ZOZNAM!I483),\"\")","v":"420 EUR"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!J483=\"\",\"\",ZOZNAM!J483),\"\")","v":"2019-12-12"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!K483=\"\",\"\",ZOZNAM!K483),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9102&EventID=140"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!L483=\"\",\"\",ZOZNAM!L483),\"\")","v":"This course introduces you to the logic and basics of case-oriented and set-theoretic methods.\n\nIt is particularly useful preparation for the main courses on process tracing, comparative research design, and Qualitative Comparative Analysis (QCA).\n\nWe will discuss perspectives on causality, case-orientation in empirical social research, and the main features of set-theoretic methods.\n\nWe will reflect on different types of research questions, evidence and observations, causal complexity, causal effects, causal mechanisms, and context. The course then covers basics of set theory, measurement and set calibration, logical operations, and the logic of necessary and sufficient conditions as set relations. We will apply these notions by looking at different ways of defining, structuring, and operationalising concepts and cases.\n\nLong Course Outline\nThis course introduces you to the logic and basics of case-oriented and set-theoretic methods. It is useful preparation for the main courses on process tracing and comparative case study design, and mandatory for those taking the main course Introduction to Qualitative Comparative Analysis (QCA). \n\nBy the end of the course, you will:\n\nBe able to situate your case-oriented/ set-theoretic research within the plurality of approaches and methodologies in social science research, and identify areas of application\nHave a basic understanding of the logical underpinnings, basic notions and analytical goals of case-oriented and set-theoretic methodology\nBe familiar with a selection of classic and recent key readings about case-oriented and set-theoretic methodology\nUnderstand, and be able to apply, basic notions of set theory, set calibration and set-theoretic concept formation in real-life research settings\nBe able to critically evaluate case-oriented and set-theoretic research with regard to their logical and analytical underpinnings\nBe prepared for the ECPR Methods School main courses on process tracing, comparative case study design, or Qualitative Comparative Analysis (QCA)\nThe course has an introductory and preparatory focus. It will not provide you with specific methods skills yet, but introduce you to the underlying logic of case-oriented and set-theoretic methods. The R lab session will not give you sufficient skills to independently perform empirical data analysis with R; instead, it will familiarise you with the very basic operational features of R in R studio, and give you an opportunity to gain a first experience in working with empirical datasets in R."},{"$f":"IF($A492<>\"\",IF(ZOZNAM!M483=\"\",\"\",ZOZNAM!M483),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!N483=\"\",\"\",ZOZNAM!N483),\"\")","v":"nie"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!O483=\"\",\"\",ZOZNAM!O483),\"\")","v":"nie"},{"$f":"IF($A492<>\"\",IF(ZOZNAM!P483=\"\",\"\",ZOZNAM!P483),\"\")","v":1.8},{"$f":"IF($A492<>\"\",IF(ZOZNAM!Q483=\"\",\"\",ZOZNAM!Q483),\"\")","v":""},{"$f":"IF($A492<>\"\",IF(ZOZNAM!R483=\"\",\"\",ZOZNAM!R483),\"\")","v":""},{"$f":"IF($A492<>\"\",IF(ZOZNAM!S483=\"\",\"\",ZOZNAM!S483),\"\")","v":""},{"$f":"IF($A492<>\"\",IF(ZOZNAM!T483=\"\",\"\",ZOZNAM!T483),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C484)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C484)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C484)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C484)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C484)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C484)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L484)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L484)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L484)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L484)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L484)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L484)),FALSE))),ZOZNAM!G484>=$C$9),ZOZNAM!A484,\"\")","v":"EC206"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!B484=\"\",\"\",ZOZNAM!B484),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!C484=\"\",\"\",ZOZNAM!C484),\"\")","v":"Introduction to Conjoint Experiments"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!D484=\"\",\"\",ZOZNAM!D484),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!E484=\"\",\"\",ZOZNAM!E484),\"\")","v":1},{"$f":"IF($A493<>\"\",IF(ZOZNAM!F484=\"\",\"\",ZOZNAM!F484),\"\")","v":2},{"$f":"IF($A493<>\"\",IF(ZOZNAM!G484=\"\",\"\",ZOZNAM!G484),\"\")","v":"2020-02-14"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!H484=\"\",\"\",ZOZNAM!H484),\"\")","v":"2020-02-15"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!I484=\"\",\"\",ZOZNAM!I484),\"\")","v":"420 EUR"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!J484=\"\",\"\",ZOZNAM!J484),\"\")","v":"2019-12-12"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!K484=\"\",\"\",ZOZNAM!K484),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9125&EventID=140"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!L484=\"\",\"\",ZOZNAM!L484),\"\")","v":"This course is an introduction to the logic and basic notions of conjoint analysis (CJA). Particular attention will be paid to Choice-Based design: the analysis, the interpretation of the results, and the limitations of conjoint experiments. We will apply these notions by looking at different applications of conjoint analysis within the field of behavioural sciences. The course will focus in particular on: \n\n1. What is a conjoint experiment?\n2. The different type of conjoint analysis and their applicability in social sciences. \n3. The advantages of conjoint experiments compared to other designs. \n4. How to design and deploy a conjoint experiment \n5. How to analyse and interpret the results of a conjoint experiment\n\nLong Course Outline\nEstimating causal effects is a central aim of quantitative empirical analysis in social sciences. Recently, Conjoint Analysis and Choice-Based Conjoint Experiments have gained interest among social scientists to understand and predict people's preferences in a multi-dimensional and multi-choice environment. This course offers an applied introduction to Choice-Based Conjoint, along with hands-on experience in lab sessions. \n\nBy the end of the course, you will:\n\n1. Have a basic understanding of the structure, logical underpinnings, basic notions, and analytical goals of conjoint analysis. \n2. Identify areas of application where conjoint analysis could be successfully implemented. \n3. Critically evaluate conjoint experiment applications and understand the advantages/disadvantages compared to traditional methods. \n6. Implement your own conjoint experiment into an (online) survey platform.\n7. Understand and be able to apply different techniques to analyse conjoint experiments. \n8. Be able to efficiently visualise your results \n10. Be well prepared for more advanced conjoint and factorial design courses or workshops. \n\nThe course is structured around six key topics:\n\nI present the general idea of conjoint experiments. I introduce the logic underlining conjoint experiments, their development, and the reasons behind the rising interest in them within the social sciences. \nI briefly introduce the 'utility' function at the base of Choice-Based Conjoint analysis. In particular, I give an overview of the Random Utility Theory and discuss it within the framework of social and behavioural science. \nI present different ways to measure individual preferences in a conjoint experiment. The focus will be on Choice-Based Conjoint measurement but we will briefly discuss other measurements (e.g. Rating, Ranking, Combined, and Adaptive). \nI give an overview of different types of conjoint design, their use, and their limitations. I present and explain Alternatives, Choice Sets and Context design, paying particular attention to the design of conjoint alternatives. \nI focus on the construction and implementation of a conjoint experiment. Specifically, I show how to design alternatives with attributes/levels constraints and randomisation using a ready to use JavaScript/Python program and R. \nI give an overview of different methods to analyse a conjoint experiment. Specifically, I focus on AMCEs, marginal mean and omnibus F-test. We will briefly discuss subgroup differences and visualisation. "},{"$f":"IF($A493<>\"\",IF(ZOZNAM!M484=\"\",\"\",ZOZNAM!M484),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!N484=\"\",\"\",ZOZNAM!N484),\"\")","v":"nie"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!O484=\"\",\"\",ZOZNAM!O484),\"\")","v":"nie"},{"$f":"IF($A493<>\"\",IF(ZOZNAM!P484=\"\",\"\",ZOZNAM!P484),\"\")","v":1.8},{"$f":"IF($A493<>\"\",IF(ZOZNAM!Q484=\"\",\"\",ZOZNAM!Q484),\"\")","v":""},{"$f":"IF($A493<>\"\",IF(ZOZNAM!R484=\"\",\"\",ZOZNAM!R484),\"\")","v":""},{"$f":"IF($A493<>\"\",IF(ZOZNAM!S484=\"\",\"\",ZOZNAM!S484),\"\")","v":""},{"$f":"IF($A493<>\"\",IF(ZOZNAM!T484=\"\",\"\",ZOZNAM!T484),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C485)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C485)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C485)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C485)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C485)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C485)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L485)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L485)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L485)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L485)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L485)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L485)),FALSE))),ZOZNAM!G485>=$C$9),ZOZNAM!A485,\"\")","v":"EC207"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!B485=\"\",\"\",ZOZNAM!B485),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!C485=\"\",\"\",ZOZNAM!C485),\"\")","v":"Automated Web Data Collection with R"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!D485=\"\",\"\",ZOZNAM!D485),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!E485=\"\",\"\",ZOZNAM!E485),\"\")","v":1},{"$f":"IF($A494<>\"\",IF(ZOZNAM!F485=\"\",\"\",ZOZNAM!F485),\"\")","v":2},{"$f":"IF($A494<>\"\",IF(ZOZNAM!G485=\"\",\"\",ZOZNAM!G485),\"\")","v":"2020-02-14"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!H485=\"\",\"\",ZOZNAM!H485),\"\")","v":"2020-02-15"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!I485=\"\",\"\",ZOZNAM!I485),\"\")","v":"420 EUR"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!J485=\"\",\"\",ZOZNAM!J485),\"\")","v":"2019-12-12"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!K485=\"\",\"\",ZOZNAM!K485),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9060&EventID=140"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!L485=\"\",\"\",ZOZNAM!L485),\"\")","v":"This course introduces the most important tools for collecting and managing web data. It does so by relying on R, which has vastly expanded its web-scraping functionality in recent years. The major advantage of R for web scraping is that all the steps in a research project can be taken in a coherent framework – data collection, data processing, data analysis and visualisation – ensuring a more friction-free research process."},{"$f":"IF($A494<>\"\",IF(ZOZNAM!M485=\"\",\"\",ZOZNAM!M485),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!N485=\"\",\"\",ZOZNAM!N485),\"\")","v":"nie"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!O485=\"\",\"\",ZOZNAM!O485),\"\")","v":"nie"},{"$f":"IF($A494<>\"\",IF(ZOZNAM!P485=\"\",\"\",ZOZNAM!P485),\"\")","v":1.8},{"$f":"IF($A494<>\"\",IF(ZOZNAM!Q485=\"\",\"\",ZOZNAM!Q485),\"\")","v":""},{"$f":"IF($A494<>\"\",IF(ZOZNAM!R485=\"\",\"\",ZOZNAM!R485),\"\")","v":""},{"$f":"IF($A494<>\"\",IF(ZOZNAM!S485=\"\",\"\",ZOZNAM!S485),\"\")","v":""},{"$f":"IF($A494<>\"\",IF(ZOZNAM!T485=\"\",\"\",ZOZNAM!T485),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C486)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C486)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C486)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C486)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C486)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C486)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L486)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L486)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L486)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L486)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L486)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L486)),FALSE))),ZOZNAM!G486>=$C$9),ZOZNAM!A486,\"\")","v":"EC208"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!B486=\"\",\"\",ZOZNAM!B486),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!C486=\"\",\"\",ZOZNAM!C486),\"\")","v":"Introduction to R (entry level)"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!D486=\"\",\"\",ZOZNAM!D486),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!E486=\"\",\"\",ZOZNAM!E486),\"\")","v":1},{"$f":"IF($A495<>\"\",IF(ZOZNAM!F486=\"\",\"\",ZOZNAM!F486),\"\")","v":2},{"$f":"IF($A495<>\"\",IF(ZOZNAM!G486=\"\",\"\",ZOZNAM!G486),\"\")","v":"2020-02-14"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!H486=\"\",\"\",ZOZNAM!H486),\"\")","v":"2020-02-15"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!I486=\"\",\"\",ZOZNAM!I486),\"\")","v":"420 EUR"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!J486=\"\",\"\",ZOZNAM!J486),\"\")","v":"2019-12-12"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!K486=\"\",\"\",ZOZNAM!K486),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9086&EventID=140"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!L486=\"\",\"\",ZOZNAM!L486),\"\")","v":"R is a powerful and versatile statistical computing environment. This course introduces you to many of its most commonly used features. \n\nFirst, prticipants will learn what R is and how it works, how data can be read into R, and how these data can be accessed and manipulated.\nNext, course will cover various ways to summarise and tabulate the data, and how to use them for statistical inference. Participants will also learn how to work with some of R's plotting tools."},{"$f":"IF($A495<>\"\",IF(ZOZNAM!M486=\"\",\"\",ZOZNAM!M486),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!N486=\"\",\"\",ZOZNAM!N486),\"\")","v":"nie"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!O486=\"\",\"\",ZOZNAM!O486),\"\")","v":"nie"},{"$f":"IF($A495<>\"\",IF(ZOZNAM!P486=\"\",\"\",ZOZNAM!P486),\"\")","v":1.8},{"$f":"IF($A495<>\"\",IF(ZOZNAM!Q486=\"\",\"\",ZOZNAM!Q486),\"\")","v":""},{"$f":"IF($A495<>\"\",IF(ZOZNAM!R486=\"\",\"\",ZOZNAM!R486),\"\")","v":""},{"$f":"IF($A495<>\"\",IF(ZOZNAM!S486=\"\",\"\",ZOZNAM!S486),\"\")","v":""},{"$f":"IF($A495<>\"\",IF(ZOZNAM!T486=\"\",\"\",ZOZNAM!T486),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C487)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C487)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C487)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C487)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C487)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C487)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L487)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L487)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L487)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L487)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L487)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L487)),FALSE))),ZOZNAM!G487>=$C$9),ZOZNAM!A487,\"\")","v":"EC209"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!B487=\"\",\"\",ZOZNAM!B487),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!C487=\"\",\"\",ZOZNAM!C487),\"\")","v":"Introduction to R (for participants with some prior knowledge in command-line programming)"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!D487=\"\",\"\",ZOZNAM!D487),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!E487=\"\",\"\",ZOZNAM!E487),\"\")","v":1},{"$f":"IF($A496<>\"\",IF(ZOZNAM!F487=\"\",\"\",ZOZNAM!F487),\"\")","v":2},{"$f":"IF($A496<>\"\",IF(ZOZNAM!G487=\"\",\"\",ZOZNAM!G487),\"\")","v":"2020-02-14"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!H487=\"\",\"\",ZOZNAM!H487),\"\")","v":"2020-02-15"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!I487=\"\",\"\",ZOZNAM!I487),\"\")","v":"420 EUR"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!J487=\"\",\"\",ZOZNAM!J487),\"\")","v":"2019-12-12"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!K487=\"\",\"\",ZOZNAM!K487),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9076&EventID=140"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!L487=\"\",\"\",ZOZNAM!L487),\"\")","v":"R is a powerful and versatile computing environment, widely used by statisticians, economists, and political scientists.\nIn three sessions particiapants will learn how R works and which tools are available to facilitate working with R (in particular RStudio).\nCourse will cover reading in data from other data formats such as SPSS and STATA, as well as how to save data, how to merge different datasets and bring them into the desired data format, analysing data, implement regression analysis in R, and access various elements of our statistical models for further analysis. Course will also cover data transformation and how to deal with special values in R."},{"$f":"IF($A496<>\"\",IF(ZOZNAM!M487=\"\",\"\",ZOZNAM!M487),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!N487=\"\",\"\",ZOZNAM!N487),\"\")","v":"nie"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!O487=\"\",\"\",ZOZNAM!O487),\"\")","v":"nie"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!P487=\"\",\"\",ZOZNAM!P487),\"\")","v":1.8},{"$f":"IF($A496<>\"\",IF(ZOZNAM!Q487=\"\",\"\",ZOZNAM!Q487),\"\")","v":4},{"$f":"IF($A496<>\"\",IF(ZOZNAM!R487=\"\",\"\",ZOZNAM!R487),\"\")","v":1},{"$f":"IF($A496<>\"\",IF(ZOZNAM!S487=\"\",\"\",ZOZNAM!S487),\"\")","v":"Začiatočníkom"},{"$f":"IF($A496<>\"\",IF(ZOZNAM!T487=\"\",\"\",ZOZNAM!T487),\"\")","v":"Nízka obsahová kvalita kurzu, Nevhodná štruktúra kurzu (kompaktnosť tém, chronológia kurzu, časová dotácia, kapacita kurzu a pod.), Nedostatočná časová dotácia kurzu, Nedostatok priestoru si trénované zručnosti odskúšať, Nízka kvalita prednášajúcich (ako pedagógov)."}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C488)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C488)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C488)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C488)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C488)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C488)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L488)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L488)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L488)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L488)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L488)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L488)),FALSE))),ZOZNAM!G488>=$C$9),ZOZNAM!A488,\"\")","v":"EC210"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!B488=\"\",\"\",ZOZNAM!B488),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!C488=\"\",\"\",ZOZNAM!C488),\"\")","v":"Introduction to Stata"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!D488=\"\",\"\",ZOZNAM!D488),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!E488=\"\",\"\",ZOZNAM!E488),\"\")","v":1},{"$f":"IF($A497<>\"\",IF(ZOZNAM!F488=\"\",\"\",ZOZNAM!F488),\"\")","v":2},{"$f":"IF($A497<>\"\",IF(ZOZNAM!G488=\"\",\"\",ZOZNAM!G488),\"\")","v":"2020-02-14"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!H488=\"\",\"\",ZOZNAM!H488),\"\")","v":"2020-02-15"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!I488=\"\",\"\",ZOZNAM!I488),\"\")","v":"420 EUR"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!J488=\"\",\"\",ZOZNAM!J488),\"\")","v":"2019-12-12"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!K488=\"\",\"\",ZOZNAM!K488),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9099&EventID=140"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!L488=\"\",\"\",ZOZNAM!L488),\"\")","v":"The course is an add-on to content-based courses. It introduces how Stata works and how it can be used to conduct descriptive, bivariate and multivariate analyses. The course does NOT give detailed insight into statistical techniques or modelling.\nBy the end of this course, participants will be able to use basic Stata commands, and understand 'how Stata does things' well enough to use it for their own analyses.\nThis course cannot cover all Stata commands and procedures, but will focus on frequently used methods. "},{"$f":"IF($A497<>\"\",IF(ZOZNAM!M488=\"\",\"\",ZOZNAM!M488),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!N488=\"\",\"\",ZOZNAM!N488),\"\")","v":"nie"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!O488=\"\",\"\",ZOZNAM!O488),\"\")","v":"nie"},{"$f":"IF($A497<>\"\",IF(ZOZNAM!P488=\"\",\"\",ZOZNAM!P488),\"\")","v":1.8},{"$f":"IF($A497<>\"\",IF(ZOZNAM!Q488=\"\",\"\",ZOZNAM!Q488),\"\")","v":""},{"$f":"IF($A497<>\"\",IF(ZOZNAM!R488=\"\",\"\",ZOZNAM!R488),\"\")","v":""},{"$f":"IF($A497<>\"\",IF(ZOZNAM!S488=\"\",\"\",ZOZNAM!S488),\"\")","v":""},{"$f":"IF($A497<>\"\",IF(ZOZNAM!T488=\"\",\"\",ZOZNAM!T488),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C489)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C489)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C489)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C489)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C489)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C489)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L489)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L489)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L489)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L489)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L489)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L489)),FALSE))),ZOZNAM!G489>=$C$9),ZOZNAM!A489,\"\")","v":"EC211"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!B489=\"\",\"\",ZOZNAM!B489),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!C489=\"\",\"\",ZOZNAM!C489),\"\")","v":"Introduction to Python Programming"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!D489=\"\",\"\",ZOZNAM!D489),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!E489=\"\",\"\",ZOZNAM!E489),\"\")","v":1},{"$f":"IF($A498<>\"\",IF(ZOZNAM!F489=\"\",\"\",ZOZNAM!F489),\"\")","v":2},{"$f":"IF($A498<>\"\",IF(ZOZNAM!G489=\"\",\"\",ZOZNAM!G489),\"\")","v":"2020-02-14"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!H489=\"\",\"\",ZOZNAM!H489),\"\")","v":"2020-02-15"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!I489=\"\",\"\",ZOZNAM!I489),\"\")","v":"420 EUR"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!J489=\"\",\"\",ZOZNAM!J489),\"\")","v":"2019-12-12"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!K489=\"\",\"\",ZOZNAM!K489),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9127&EventID=140"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!L489=\"\",\"\",ZOZNAM!L489),\"\")","v":"On the first day we learn how to operate an efficient software environment using terminal commands, installing programming packages with Anaconda, and running code in the Jupyter Notebooks and Pycharm. We then learn about the different data types in Python.\n\nOn the second day you will learn how to scrape simple websites, and analyse and visualise data with Pandas.\n\nLong Course Outline\nDay 1\n\nWe build the basics of a working Python programming environment, which will help later to advance in the language.\n\nYou will learn how to use the terminal to move between directories, copy and delete files, and run programs with bash/shell scripts.\n\nAfter getting familiar with the terminal, we will look deeper into the Anaconda environment; learning how to run Jupyter notebooks and scripts from the terminal, and to manage packages and environments.\n\nDuring the second part of the day you will learn about different data types (strings, integers, floats, lists, sets, dictionaries) and practice using them with fun programming games.\n\nDay 2\n\nWe will learn the basics of web scraping using the Request and Beautiful soup libraries. We will introduce how to write functions, and help you get familiar with loops.\n\nThe last part of the day will give a gentle introduction to Pandas, focusing on importing and exporting data, running descriptive statistics, and basic data visualisation with Seaborn/Matplotlib."},{"$f":"IF($A498<>\"\",IF(ZOZNAM!M489=\"\",\"\",ZOZNAM!M489),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!N489=\"\",\"\",ZOZNAM!N489),\"\")","v":"nie"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!O489=\"\",\"\",ZOZNAM!O489),\"\")","v":"nie"},{"$f":"IF($A498<>\"\",IF(ZOZNAM!P489=\"\",\"\",ZOZNAM!P489),\"\")","v":1.8},{"$f":"IF($A498<>\"\",IF(ZOZNAM!Q489=\"\",\"\",ZOZNAM!Q489),\"\")","v":""},{"$f":"IF($A498<>\"\",IF(ZOZNAM!R489=\"\",\"\",ZOZNAM!R489),\"\")","v":""},{"$f":"IF($A498<>\"\",IF(ZOZNAM!S489=\"\",\"\",ZOZNAM!S489),\"\")","v":""},{"$f":"IF($A498<>\"\",IF(ZOZNAM!T489=\"\",\"\",ZOZNAM!T489),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C490)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C490)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C490)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C490)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C490)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C490)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L490)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L490)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L490)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L490)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L490)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L490)),FALSE))),ZOZNAM!G490>=$C$9),ZOZNAM!A490,\"\")","v":"EC212"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!B490=\"\",\"\",ZOZNAM!B490),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!C490=\"\",\"\",ZOZNAM!C490),\"\")","v":"Regression Refresher (before you take a more advanced stats course)"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!D490=\"\",\"\",ZOZNAM!D490),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!E490=\"\",\"\",ZOZNAM!E490),\"\")","v":1},{"$f":"IF($A499<>\"\",IF(ZOZNAM!F490=\"\",\"\",ZOZNAM!F490),\"\")","v":2},{"$f":"IF($A499<>\"\",IF(ZOZNAM!G490=\"\",\"\",ZOZNAM!G490),\"\")","v":"2020-02-14"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!H490=\"\",\"\",ZOZNAM!H490),\"\")","v":"2020-02-15"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!I490=\"\",\"\",ZOZNAM!I490),\"\")","v":"420 EUR"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!J490=\"\",\"\",ZOZNAM!J490),\"\")","v":"2019-12-12"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!K490=\"\",\"\",ZOZNAM!K490),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9083&EventID=140"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!L490=\"\",\"\",ZOZNAM!L490),\"\")","v":"This course is a refresher about regression. Course covers the conceptual foundations of statistical inference, math underlying regression, regression’s multivariate form focused mainly on the functioning of ordinary least squares, review the assumptions of regression models both from the perspective of why these assumptions exist and what happens if you violate them. \nCourse covers practical tips on how to deal with assumption violations, homoscedasticity, autocorrelation, linearity of relationships and collinearity. Topics are covered both in theory and through an example presented in R."},{"$f":"IF($A499<>\"\",IF(ZOZNAM!M490=\"\",\"\",ZOZNAM!M490),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!N490=\"\",\"\",ZOZNAM!N490),\"\")","v":"nie"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!O490=\"\",\"\",ZOZNAM!O490),\"\")","v":"nie"},{"$f":"IF($A499<>\"\",IF(ZOZNAM!P490=\"\",\"\",ZOZNAM!P490),\"\")","v":1.8},{"$f":"IF($A499<>\"\",IF(ZOZNAM!Q490=\"\",\"\",ZOZNAM!Q490),\"\")","v":""},{"$f":"IF($A499<>\"\",IF(ZOZNAM!R490=\"\",\"\",ZOZNAM!R490),\"\")","v":""},{"$f":"IF($A499<>\"\",IF(ZOZNAM!S490=\"\",\"\",ZOZNAM!S490),\"\")","v":""},{"$f":"IF($A499<>\"\",IF(ZOZNAM!T490=\"\",\"\",ZOZNAM!T490),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C491)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C491)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C491)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C491)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C491)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C491)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L491)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L491)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L491)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L491)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L491)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L491)),FALSE))),ZOZNAM!G491>=$C$9),ZOZNAM!A491,\"\")","v":"EC213"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!B491=\"\",\"\",ZOZNAM!B491),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!C491=\"\",\"\",ZOZNAM!C491),\"\")","v":"Relational Event Models (REM)"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!D491=\"\",\"\",ZOZNAM!D491),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!E491=\"\",\"\",ZOZNAM!E491),\"\")","v":1},{"$f":"IF($A500<>\"\",IF(ZOZNAM!F491=\"\",\"\",ZOZNAM!F491),\"\")","v":2},{"$f":"IF($A500<>\"\",IF(ZOZNAM!G491=\"\",\"\",ZOZNAM!G491),\"\")","v":"2020-02-14"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!H491=\"\",\"\",ZOZNAM!H491),\"\")","v":"2020-02-15"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!I491=\"\",\"\",ZOZNAM!I491),\"\")","v":"420 EUR"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!J491=\"\",\"\",ZOZNAM!J491),\"\")","v":"2019-12-12"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!K491=\"\",\"\",ZOZNAM!K491),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9128&EventID=140"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!L491=\"\",\"\",ZOZNAM!L491),\"\")","v":"This course is an introduction to Relational Event Models (REMs), inferential models that use temporally fine-grained records of social interactions to model complex interaction patterns and endogenous processes.\n\nExamples of social interaction data include political actions (such as legislative co-sponsoring, vetoing or engaging in military actions), and email communications or online interactions (eg commenting on blogs, tweeting).\n\nYou will learn how to prepare different data types, to estimate REMs and interpret their results.\n\nYou will gain hands-on experience in modelling relational events and learn how to model theory-driven social mechanisms. \n\nLong Course Outline\nRelational event models are powerful tools for examining how social networks evolve over time. Building on event history analysis, REMs combine network dependencies with temporal dynamics and allow for the analysis of group formation patterns – such as alliance or coalition formation processes – influencing dynamics, social learning and other social mechanisms. \n\nREMs aim to explain the temporal order of social interactions.\n\nWhy do two people suddenly start exchanging emails?\nWhy do two governments start engaging in military conflicts?\nWhy do two members of parliament start collaborating with each other on a new legislative proposal?\n\nThe answers to these questions are sometimes found in the broader context of these events:\n\nIf two countries take up arms against each other, the alliances that formed beforehand play a key role.\nIf two people start exchanging emails it is possible that a mutual friend introduced them to each other.\nAnd if two members of parliament start working on a mutual proposal it is possible that they both learned about their mutual interest by both opposing a proposal by another member.\n\nThe events that occurred in the past often guide subsequent events. The relational event point of view can help uncover not simply how previous interactions between actors a and b shape their future interactions, but also how changes in their surrounding network (i.e., with events that do not even involve a or b) affect how a and b interact in the future. It is a powerful framework for time-stamped or time-ordered analysis of social interactions that takes the surrounding context and an actor’s embeddedness into account. And so REMs build on event history analysis to ask the question: why does one event occur at time t and why has it not occurred before? And, in a broader sense, which patterns of past interactions can help explain a specific sequence of events? \n\nThis course provides a hands-on introduction to REMs. You will learn the statistical backbone of REMs and apply them in different lab sessions. Since REMs are longitudinal models, we will pay special attention to the temporal aspects of the model, including data preparation and operationalisation of dynamic social mechanisms such as reciprocity, closure or homophily. The course also focuses on the interpretation of REMs and assessing their goodness-of-fit. All lab sessions are held in the statistical computing environment R. \n\nApart from the practical aspects, the course also focuses on theory-driven research. REMs can be used to detect social influencing, understand social exchanges and communication patterns or determine causes for group formation processes. Different network concepts are presented throughout the course and we will discus their operationalisation. You are encouraged to bring your own research interests to the course and think about ways to operationalise and test your hypotheses. \n\nYou are also welcome to bring your own network data or research ideas to discuss their potential and feasibility."},{"$f":"IF($A500<>\"\",IF(ZOZNAM!M491=\"\",\"\",ZOZNAM!M491),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!N491=\"\",\"\",ZOZNAM!N491),\"\")","v":"nie"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!O491=\"\",\"\",ZOZNAM!O491),\"\")","v":"nie"},{"$f":"IF($A500<>\"\",IF(ZOZNAM!P491=\"\",\"\",ZOZNAM!P491),\"\")","v":1.8},{"$f":"IF($A500<>\"\",IF(ZOZNAM!Q491=\"\",\"\",ZOZNAM!Q491),\"\")","v":""},{"$f":"IF($A500<>\"\",IF(ZOZNAM!R491=\"\",\"\",ZOZNAM!R491),\"\")","v":""},{"$f":"IF($A500<>\"\",IF(ZOZNAM!S491=\"\",\"\",ZOZNAM!S491),\"\")","v":""},{"$f":"IF($A500<>\"\",IF(ZOZNAM!T491=\"\",\"\",ZOZNAM!T491),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C492)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C492)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C492)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C492)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C492)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C492)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L492)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L492)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L492)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L492)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L492)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L492)),FALSE))),ZOZNAM!G492>=$C$9),ZOZNAM!A492,\"\")","v":"EC214"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!B492=\"\",\"\",ZOZNAM!B492),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!C492=\"\",\"\",ZOZNAM!C492),\"\")","v":"Maximum Likelihood Estimation"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!D492=\"\",\"\",ZOZNAM!D492),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!E492=\"\",\"\",ZOZNAM!E492),\"\")","v":1},{"$f":"IF($A501<>\"\",IF(ZOZNAM!F492=\"\",\"\",ZOZNAM!F492),\"\")","v":2},{"$f":"IF($A501<>\"\",IF(ZOZNAM!G492=\"\",\"\",ZOZNAM!G492),\"\")","v":"2020-02-14"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!H492=\"\",\"\",ZOZNAM!H492),\"\")","v":"2020-02-15"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!I492=\"\",\"\",ZOZNAM!I492),\"\")","v":"420 EUR"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!J492=\"\",\"\",ZOZNAM!J492),\"\")","v":"2019-12-12"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!K492=\"\",\"\",ZOZNAM!K492),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9093&EventID=140"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!L492=\"\",\"\",ZOZNAM!L492),\"\")","v":"This course introduces maximum likelihood estimation (MLE), one of the most important methods for parameter estimation in modern social sciences, on which a large body of published empirical works relies. Participants will learn the basic idea of MLE, and some of its extensions in several example cases.\nIn contrast to the least squares methods, MLE requires participants to make some assumptions about distributions of stochastic terms. This course therefore also deals with basics of probability theory.\nStudents will write programs in R to estimate some model parameters."},{"$f":"IF($A501<>\"\",IF(ZOZNAM!M492=\"\",\"\",ZOZNAM!M492),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!N492=\"\",\"\",ZOZNAM!N492),\"\")","v":"nie"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!O492=\"\",\"\",ZOZNAM!O492),\"\")","v":"nie"},{"$f":"IF($A501<>\"\",IF(ZOZNAM!P492=\"\",\"\",ZOZNAM!P492),\"\")","v":1.8},{"$f":"IF($A501<>\"\",IF(ZOZNAM!Q492=\"\",\"\",ZOZNAM!Q492),\"\")","v":""},{"$f":"IF($A501<>\"\",IF(ZOZNAM!R492=\"\",\"\",ZOZNAM!R492),\"\")","v":""},{"$f":"IF($A501<>\"\",IF(ZOZNAM!S492=\"\",\"\",ZOZNAM!S492),\"\")","v":""},{"$f":"IF($A501<>\"\",IF(ZOZNAM!T492=\"\",\"\",ZOZNAM!T492),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C493)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C493)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C493)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C493)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C493)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C493)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L493)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L493)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L493)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L493)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L493)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L493)),FALSE))),ZOZNAM!G493>=$C$9),ZOZNAM!A493,\"\")","v":"EC215"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!B493=\"\",\"\",ZOZNAM!B493),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!C493=\"\",\"\",ZOZNAM!C493),\"\")","v":"Introduction to NVivo for Qualitative Data Analysis"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!D493=\"\",\"\",ZOZNAM!D493),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!E493=\"\",\"\",ZOZNAM!E493),\"\")","v":1},{"$f":"IF($A502<>\"\",IF(ZOZNAM!F493=\"\",\"\",ZOZNAM!F493),\"\")","v":2},{"$f":"IF($A502<>\"\",IF(ZOZNAM!G493=\"\",\"\",ZOZNAM!G493),\"\")","v":"2020-02-14"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!H493=\"\",\"\",ZOZNAM!H493),\"\")","v":"2020-02-15"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!I493=\"\",\"\",ZOZNAM!I493),\"\")","v":"420 EUR"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!J493=\"\",\"\",ZOZNAM!J493),\"\")","v":"2019-12-12"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!K493=\"\",\"\",ZOZNAM!K493),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9085&EventID=140"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!L493=\"\",\"\",ZOZNAM!L493),\"\")","v":"This course will teach you how to use NVivo for the management, coding, analysis and visualisation of qualitative data. It follows the qualitative data analysis process in sequence, and covers how to:\n\nset up a project and organise data\nmanage a literature review\ncode and analyse data\npresent qualitative findings.\n\nLong Course Outline\nNVivo is software programme for qualitative data analysis. It is a powerful platform that supports text, multimedia, pictures, PDFs, open-ended surveys from Excel and Survey Monkey, reference libraries, webpages, social media data from Facebook, Twitter, LinkedIn, and YouTube, notes from Evernote and OneNote, and emails from Outlook.\n\nNVivo supports a range of inductive and deductive methods to qualitative analysis such as\n\nthematic and content analysis\nwithin and cross-case analysis\ndiscourse\nconversational and narrative analysis\ngrounded theory\nanalytic induction\nqualitative research synthesis.\nThis course aims to give you the knowledge and skills to use the basic and advanced features of NVivo in your own research. The content is spread over four modules and will teach you how to:\n\nset up a project and organise data\nwork with multimedia\nmanage a literature review\nautocode and code data inductively\ngenerate hypotheses\nseek patterns and discover relationships\npresent qualitative findings."},{"$f":"IF($A502<>\"\",IF(ZOZNAM!M493=\"\",\"\",ZOZNAM!M493),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!N493=\"\",\"\",ZOZNAM!N493),\"\")","v":"nie"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!O493=\"\",\"\",ZOZNAM!O493),\"\")","v":"nie"},{"$f":"IF($A502<>\"\",IF(ZOZNAM!P493=\"\",\"\",ZOZNAM!P493),\"\")","v":1.8},{"$f":"IF($A502<>\"\",IF(ZOZNAM!Q493=\"\",\"\",ZOZNAM!Q493),\"\")","v":""},{"$f":"IF($A502<>\"\",IF(ZOZNAM!R493=\"\",\"\",ZOZNAM!R493),\"\")","v":""},{"$f":"IF($A502<>\"\",IF(ZOZNAM!S493=\"\",\"\",ZOZNAM!S493),\"\")","v":""},{"$f":"IF($A502<>\"\",IF(ZOZNAM!T493=\"\",\"\",ZOZNAM!T493),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C494)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C494)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C494)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C494)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C494)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C494)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L494)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L494)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L494)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L494)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L494)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L494)),FALSE))),ZOZNAM!G494>=$C$9),ZOZNAM!A494,\"\")","v":"EC216"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!B494=\"\",\"\",ZOZNAM!B494),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!C494=\"\",\"\",ZOZNAM!C494),\"\")","v":"Introduction to MAXQDA: A Qualitative and Mixed Methods Data Analysis Software"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!D494=\"\",\"\",ZOZNAM!D494),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!E494=\"\",\"\",ZOZNAM!E494),\"\")","v":1},{"$f":"IF($A503<>\"\",IF(ZOZNAM!F494=\"\",\"\",ZOZNAM!F494),\"\")","v":2},{"$f":"IF($A503<>\"\",IF(ZOZNAM!G494=\"\",\"\",ZOZNAM!G494),\"\")","v":"2020-02-14"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!H494=\"\",\"\",ZOZNAM!H494),\"\")","v":"2020-02-15"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!I494=\"\",\"\",ZOZNAM!I494),\"\")","v":"420 EUR"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!J494=\"\",\"\",ZOZNAM!J494),\"\")","v":"2019-12-12"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!K494=\"\",\"\",ZOZNAM!K494),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9072&EventID=140"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!L494=\"\",\"\",ZOZNAM!L494),\"\")","v":"This course offers an applied introduction to MAXQDA, an easy-to-use tool for qualitative and/or mixed methods data analysis, now available as a universal application for Windows and Mac OS. You will get a practical overview of how to manage, code, and analyse different types of qualitative data, and report findings using MAXQDA. After the ccourse, you will know how to work independently using MAXQDA.\n\nThis is a hands-on course is organised under three fundamental topics. Activities will consist mostly of in-class demonstrations combined with guided practice using predefined datasets and worksheets. The worksheets consist of extensive applied examples, valuable for future reference. A small assignment will be given out after the first contact hours.\n\nLong Course Outline\nMAXQDA is easy to learn, and contains powerful tools for efficient research data management and analysis using project files. Instead of struggling to learn intricate software procedures, MAXQDA users can master and implement an extensive range of research methodologies.\n\nThis practical course consists of three topics covering the main stages of the qualitative data research process. You will be introduced to basic and more advanced features. By the end of the course, you will know how to use MAXQDA in your qualitative research projects."},{"$f":"IF($A503<>\"\",IF(ZOZNAM!M494=\"\",\"\",ZOZNAM!M494),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!N494=\"\",\"\",ZOZNAM!N494),\"\")","v":"nie"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!O494=\"\",\"\",ZOZNAM!O494),\"\")","v":"nie"},{"$f":"IF($A503<>\"\",IF(ZOZNAM!P494=\"\",\"\",ZOZNAM!P494),\"\")","v":1.8},{"$f":"IF($A503<>\"\",IF(ZOZNAM!Q494=\"\",\"\",ZOZNAM!Q494),\"\")","v":""},{"$f":"IF($A503<>\"\",IF(ZOZNAM!R494=\"\",\"\",ZOZNAM!R494),\"\")","v":""},{"$f":"IF($A503<>\"\",IF(ZOZNAM!S494=\"\",\"\",ZOZNAM!S494),\"\")","v":""},{"$f":"IF($A503<>\"\",IF(ZOZNAM!T494=\"\",\"\",ZOZNAM!T494),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C495)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C495)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C495)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C495)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C495)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C495)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L495)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L495)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L495)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L495)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L495)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L495)),FALSE))),ZOZNAM!G495>=$C$9),ZOZNAM!A495,\"\")","v":"EC217"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!B495=\"\",\"\",ZOZNAM!B495),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!C495=\"\",\"\",ZOZNAM!C495),\"\")","v":"Introduction to Geographical Data Management and Analysis with ArcGIS"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!D495=\"\",\"\",ZOZNAM!D495),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!E495=\"\",\"\",ZOZNAM!E495),\"\")","v":1},{"$f":"IF($A504<>\"\",IF(ZOZNAM!F495=\"\",\"\",ZOZNAM!F495),\"\")","v":2},{"$f":"IF($A504<>\"\",IF(ZOZNAM!G495=\"\",\"\",ZOZNAM!G495),\"\")","v":"2020-02-14"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!H495=\"\",\"\",ZOZNAM!H495),\"\")","v":"2020-02-15"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!I495=\"\",\"\",ZOZNAM!I495),\"\")","v":"420 EUR"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!J495=\"\",\"\",ZOZNAM!J495),\"\")","v":"2019-12-12"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!K495=\"\",\"\",ZOZNAM!K495),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9129&EventID=140"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!L495=\"\",\"\",ZOZNAM!L495),\"\")","v":"More than a tool to 'make maps', ArcGIS is a powerful, multi-purpose digital platform to store, modify and analyse digital spatial data.\n\nAlthough ArcGIS can be run with phyton, in this course we will use the in-built user interface.\n\nThrough guided exercises in the lab, by the end of the course you will be able to:\n\nknow the origins of ArcGIS, understand its structure and main tools\nimport georeferenced data into ArcGIS and use the property table\nwork with georeferenced data and use spatial analysis tools\ncreate and export maps. \n\nLong Course Outline\nDay 1 – Friday\nSatellite technology was developed in the 1960s through the joint effort of public and private actors. We begin the course by examining the origins and structure of ArcGIS, looking at why and how it emerged as a complex, innovative and technological system. Afterwards, we look more closely at spatial data (raster and vector) and what to bear in mind when importing them into ArcGIS (projections, geographical scale, layers). We also look at some publicly available data sources (e.g. Openstreetmap, EEA) from which we can download spatial data. When importing our data into ArcGIS, we will look at its organisation and the Arctools box. \n\nDay 2 – Saturday\nGet your hands dirty and really start using the software! By means of examples and exercises, we will learn how to modify the property table, use the selection tools and cartography options, how to do queries and use additional tools to manage our data in ArcGIS (e.g. union, merging, recalculation, buffers). We will also learn how to properly create a map and export it."},{"$f":"IF($A504<>\"\",IF(ZOZNAM!M495=\"\",\"\",ZOZNAM!M495),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!N495=\"\",\"\",ZOZNAM!N495),\"\")","v":"nie"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!O495=\"\",\"\",ZOZNAM!O495),\"\")","v":"nie"},{"$f":"IF($A504<>\"\",IF(ZOZNAM!P495=\"\",\"\",ZOZNAM!P495),\"\")","v":1.8},{"$f":"IF($A504<>\"\",IF(ZOZNAM!Q495=\"\",\"\",ZOZNAM!Q495),\"\")","v":""},{"$f":"IF($A504<>\"\",IF(ZOZNAM!R495=\"\",\"\",ZOZNAM!R495),\"\")","v":""},{"$f":"IF($A504<>\"\",IF(ZOZNAM!S495=\"\",\"\",ZOZNAM!S495),\"\")","v":""},{"$f":"IF($A504<>\"\",IF(ZOZNAM!T495=\"\",\"\",ZOZNAM!T495),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C496)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C496)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C496)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C496)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C496)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C496)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L496)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L496)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L496)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L496)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L496)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L496)),FALSE))),ZOZNAM!G496>=$C$9),ZOZNAM!A496,\"\")","v":"EC218"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!B496=\"\",\"\",ZOZNAM!B496),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!C496=\"\",\"\",ZOZNAM!C496),\"\")","v":"Vignette Methods in Qualitative Research"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!D496=\"\",\"\",ZOZNAM!D496),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!E496=\"\",\"\",ZOZNAM!E496),\"\")","v":1},{"$f":"IF($A505<>\"\",IF(ZOZNAM!F496=\"\",\"\",ZOZNAM!F496),\"\")","v":2},{"$f":"IF($A505<>\"\",IF(ZOZNAM!G496=\"\",\"\",ZOZNAM!G496),\"\")","v":"2020-02-14"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!H496=\"\",\"\",ZOZNAM!H496),\"\")","v":"2020-02-15"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!I496=\"\",\"\",ZOZNAM!I496),\"\")","v":"420 EUR"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!J496=\"\",\"\",ZOZNAM!J496),\"\")","v":"2019-12-12"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!K496=\"\",\"\",ZOZNAM!K496),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9090&EventID=140"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!L496=\"\",\"\",ZOZNAM!L496),\"\")","v":"This course is for PhD students who want to address causal explanations or systematic comparisons in an interpretive or qualitative research project.\n\nIt is aimed at students of political science, sociology, international relations and public administration, but students of public policy and anthropology would also benefit. You will learn how to:\n\ndevelop one or more vignettes\nuse vignettes in data collection\nanalyse reactions to vignettes\ninterpret and draw valid conclusions from vignette analyses.\nAfter the course, you will understand:\n\nThe scientific criteria of vignette method and how to develop vignettes for interpretive or qualitative research questions,\nconceptualisation, theory, research design, strategies of framing vignettes, and how to select the vignette’s profile description attributes and wording, \nhow to organise and process vignettes through phases of data collection, analysis and conclusion drawing,\nhow to suit the vignette method to the research question,\nhow to draw conclusions from vignette analyses.\n\nLong Course Outline\nIn this course, you will learn how to develop vignettes while familiarising yourself with contemporary thinking about deliberative manipulation to integrate experimental logic into an interpretive or qualitative investigation. We will learn:\n\nthe scientific criteria behind vignette method\nvariance theory versus process theory as forms of causal explanation\nthe pros and cons of stimulation in an interpretive or qualitative research design.\nThe course has five objectives:\n\nto examine the scientific criteria of vignette method and teach you how to develop vignettes suitable for interpretive or qualitative research questions\nto expose you to issues of conceptualisation, theory, research design, strategies of framing vignettes, and selecting the attributes and wording of a vignette’s profile description\nto help you organise and process vignettes through data collection, analysis and conclusion drawing\nto teach you how to choose the best vignette method for a particular research question\nto enable you to draw conclusions from vignette analyses.\nI will cover basic techniques for collecting, interpreting, and presenting analyses of vignettes. We will operate on two interrelated dimensions, one focused on the theoretical approaches to various types of vignette method, the other on practical techniques to formulate, develop and validate the vignettes used in the interpretive or qualitative research design.\n\nTheoretically, the course considers questions such as:\n\nWhat is a vignette and what is vignette method?\nWhat questions is it best suited for?\nBy what criteria does it meet or fail to meet the standards of scientific evidence?\nWhat is the role of causality in interpretive or qualitative research?\nCan vignette methods be used to verify hypotheses, or only generate them?\nCan vignettes support the making and analysing of thematic connections?\nIn what ways is vignette research ‘grounded’?\nPractically, the course considers questions such as:\n\nWhat scientific criteria apply for vignette method?\nHow do researchers construct the ‘right’ vignette for the ‘right’ research question?\nWhat collection techniques can be used to enhance the quality of vignette analyses?\nWhat scientific positions ground the vignette analyses?\nWhat is the unit of analysis?\nHow do researchers organise the vignettes and how do they use them in practice?\nHow can researchers make sense of their interpretations of vignette analyses in a transparent, authentic and inclusive way?\nHow can researchers draw conclusions from their vignettes analyses?\nI will take a realist approach to causal explanation, focusing on two techniques in vignette method: profiling versus manipulation. I chose these as examples of methods which use vignette method to put rather different weight on causal explanation. This will strengthen your general knowledge of vignette methods, and give you a solid basis to choose the right strategy of vignette analysis in your own research.\n\nBy the end of the course, you will know how to choose between vignette methods, and have insight into hands-on vignette research tools. You will be able to follow advanced courses in interpretive or qualitative methods with a more specialised focus on, for example, ethnographic method, grounded theory, narrative method, discourse analysis or process tracing.\n\nAfter the course, you should have a basic understanding of:\n\nThe scientific criteria of vignette method and how to develop vignettes suitable for interpretive or qualitative research questions,\nissues of conceptualisation, theory, research design, and strategies of framing vignettes and selecting attributes and wording of the vignette’s profile description, \nhow to organise and process vignettes through the research phases of data collection, analysis and conclusion drawing,\nhow to choose the best strategy of vignette method for the research question and,\nhow to draw conclusions from vignette analyses."},{"$f":"IF($A505<>\"\",IF(ZOZNAM!M496=\"\",\"\",ZOZNAM!M496),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!N496=\"\",\"\",ZOZNAM!N496),\"\")","v":"nie"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!O496=\"\",\"\",ZOZNAM!O496),\"\")","v":"nie"},{"$f":"IF($A505<>\"\",IF(ZOZNAM!P496=\"\",\"\",ZOZNAM!P496),\"\")","v":1.8},{"$f":"IF($A505<>\"\",IF(ZOZNAM!Q496=\"\",\"\",ZOZNAM!Q496),\"\")","v":""},{"$f":"IF($A505<>\"\",IF(ZOZNAM!R496=\"\",\"\",ZOZNAM!R496),\"\")","v":""},{"$f":"IF($A505<>\"\",IF(ZOZNAM!S496=\"\",\"\",ZOZNAM!S496),\"\")","v":""},{"$f":"IF($A505<>\"\",IF(ZOZNAM!T496=\"\",\"\",ZOZNAM!T496),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C497)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C497)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C497)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C497)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C497)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C497)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L497)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L497)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L497)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L497)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L497)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L497)),FALSE))),ZOZNAM!G497>=$C$9),ZOZNAM!A497,\"\")","v":"EC219"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!B497=\"\",\"\",ZOZNAM!B497),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!C497=\"\",\"\",ZOZNAM!C497),\"\")","v":"Synthetic Control Methods for Policy Impact Evaluation"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!D497=\"\",\"\",ZOZNAM!D497),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!E497=\"\",\"\",ZOZNAM!E497),\"\")","v":1},{"$f":"IF($A506<>\"\",IF(ZOZNAM!F497=\"\",\"\",ZOZNAM!F497),\"\")","v":2},{"$f":"IF($A506<>\"\",IF(ZOZNAM!G497=\"\",\"\",ZOZNAM!G497),\"\")","v":"2020-02-14"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!H497=\"\",\"\",ZOZNAM!H497),\"\")","v":"2020-02-15"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!I497=\"\",\"\",ZOZNAM!I497),\"\")","v":"420 EUR"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!J497=\"\",\"\",ZOZNAM!J497),\"\")","v":"2019-12-12"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!K497=\"\",\"\",ZOZNAM!K497),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9130&EventID=140"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!L497=\"\",\"\",ZOZNAM!L497),\"\")","v":"Synthetic control methods appeared as a way of conducting causal inference for single case studies. They allow us to identify causal effects of an intervention or policy change in one unit (city, region, country, etc) on an outcome of interest over time. Given their multiple possible applications, these methods have become very popular in economics, political science, and public policy.\n\nThis course starts from the basics of the potential outcomes framework underlying the workings of synthetic controls, and works through the various ways to implement them.\n\nWe begin with single-case studies, cover inference with placebo tests in space and time, and move to more advanced implementations where there are multiple treated cases, as well as generalisations of synthetic controls.\n\nLong Course Outline\nSynthetic control methods are used for conducting causal inference with longitudinal data. Their popularity comes from the intuitive interpretation of their results, as well as their ability to estimate causal effects on a single treated unit.\n\nThese methods work by creating a synthetic unit (city/region/country/etc) that is as similar as possible to the one that has received some sort of intervention (the so-called 'treated' unit), or where a policy has been adopted, except for the intervention/policy itself. Any difference between the real unit and the synthetic one on the outcome of interest is deemed to have been caused by the policy or intervention.\n\nIn recent years, there has been an explosion of expansions to synthetic control methods, allowing not only single-case studies but also small, medium, and large-N analysis and inference.\n\nDay 1\nThe first session starts with the potential outcomes framework (or Rubin Causal Model), which underlies the synthetic controls framework. We discuss the foundations of how and when the estimates of synthetic controls can be causally identified, and introduce the notation used in the course.\n\nWe follow with a conceptual discussion on assumptions, applicability, estimation, and inference. We discuss how the weights are assigned, data requirements for estimation, and how to interpret results.\n\nWe end this first day with a practical session on implementing synthetic controls. Examples will be given in R, but Stata code will be provided for those who prefer it.\n\nDay 2\nWe start with robustness and sensitivity tests, namely placebo tests which are used for inference and testing assumptions. We cover placebo-in-time tests, as well as the construction of placebos for significance testing. We also look at sensitivity tests, such as the jackknife, to assess how robust the results are in relation to the untreated units in the sample.\n\nWe then move to applications of synthetic controls to multiple treated units, an emerging area in this topic. This session covers how to build synthetic controls for several units, how to assess the fit of controls, calculate an average treatment effect, and bootstrapping methods for testing the significance of results.\n\nAfter a lab practice, we go to recent advanced applications of synthetic controls, and look at generalised synthetic control models."},{"$f":"IF($A506<>\"\",IF(ZOZNAM!M497=\"\",\"\",ZOZNAM!M497),\"\")","v":"Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!N497=\"\",\"\",ZOZNAM!N497),\"\")","v":"nie"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!O497=\"\",\"\",ZOZNAM!O497),\"\")","v":"nie"},{"$f":"IF($A506<>\"\",IF(ZOZNAM!P497=\"\",\"\",ZOZNAM!P497),\"\")","v":1.8},{"$f":"IF($A506<>\"\",IF(ZOZNAM!Q497=\"\",\"\",ZOZNAM!Q497),\"\")","v":""},{"$f":"IF($A506<>\"\",IF(ZOZNAM!R497=\"\",\"\",ZOZNAM!R497),\"\")","v":""},{"$f":"IF($A506<>\"\",IF(ZOZNAM!S497=\"\",\"\",ZOZNAM!S497),\"\")","v":""},{"$f":"IF($A506<>\"\",IF(ZOZNAM!T497=\"\",\"\",ZOZNAM!T497),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C498)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C498)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C498)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C498)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C498)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C498)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L498)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L498)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L498)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L498)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L498)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L498)),FALSE))),ZOZNAM!G498>=$C$9),ZOZNAM!A498,\"\")","v":"EC220"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!B498=\"\",\"\",ZOZNAM!B498),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!C498=\"\",\"\",ZOZNAM!C498),\"\")","v":"Measurement: Approaches Bridging Concepts and Data"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!D498=\"\",\"\",ZOZNAM!D498),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!E498=\"\",\"\",ZOZNAM!E498),\"\")","v":5},{"$f":"IF($A507<>\"\",IF(ZOZNAM!F498=\"\",\"\",ZOZNAM!F498),\"\")","v":5},{"$f":"IF($A507<>\"\",IF(ZOZNAM!G498=\"\",\"\",ZOZNAM!G498),\"\")","v":"2020-02-17"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!H498=\"\",\"\",ZOZNAM!H498),\"\")","v":"2020-02-21"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!I498=\"\",\"\",ZOZNAM!I498),\"\")","v":"895 EUR"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!J498=\"\",\"\",ZOZNAM!J498),\"\")","v":"2019-12-12"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!K498=\"\",\"\",ZOZNAM!K498),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9131&EventID=140"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!L498=\"\",\"\",ZOZNAM!L498),\"\")","v":"Some people think of measurement as simply assigning numbers to cases. Sometimes it is. However, often measurement gets much more complicated.\n\nMany of the concepts we deal with in the social sciences are not immediately visible to us, and the phenomena that are do not, typically, correspond exactly to the concept we are after.\n\nOther concepts – most obviously attitudes, meaning, and beliefs – we have to measure using statements from people who do not know our concepts and are biased in numerous conscious and unconscious ways.\n\nThis course introduces case-based (qualitative), variance-based (quantitative), and interpretivist approaches to think about and handle these issues. Themes include the logic of latent variable modelling, the psychology of responding to questions, and mediating between everyday language and scholarly terminology. All, as the course makes clear, are handled somewhat differently, sometimes fundamentally differently, across approaches.\n\nLong Course Outline\nIf broadly conceived as a link between concepts and data, measurement is indispensable for all empirical social science. Sometimes, measurement is easy but most of the time it is not.\n\nA study of local public health may count the number of health centers or the number of staff working in such centers in a city. But what is this a measure of? Is it a good measure?\n\nA study of employee engagement among firefighters may roll out a standard nine-item engagement battery in a survey. But why so many items? Why those nine? And to what extent can we believe what the firefighters reply?\n\nA study of constructive deviance among nurses may approach how they construct meaning of their interaction with clients and how they work around or counteract rules. But how do we elucidate such meaning from their everyday language? After all, few nurses will ever use the term constructive deviance. \n\nThis course introduces measurement issues from variance-based, case-based, and interpretivist perspectives as well as common measurement problems for social science research.\n\nThe social sciences tend to deal with concepts – like public health capacity, employee engagement, and constructive deviance – that are not immediately visible. Moreover, the sources of information we have to measure these concepts are rarely direct and are often statements or stories from people, who may not be responding to what they are asked, may hide what they believe from researchers or themselves, and who do not speak the language of the social science academy.\n\nWe will examine in detail topics surrounding the often problematic business of social science measurement, including:\n\n1.    Can everything that matters be measured?\n2.    Content validity\n3.    Measurement validity\n4.    Social desirability bias\n5.    Context effects on responses in surveys and interviews\n6.    Latent variable modeling (confirmatory factor analysis and structural equation modeling)\n7.    Measurement issues in process tracing and case studies\n8.    Judgement and theory in historical measurement\n9.    Interpretative mediation between everyday language and scientific concepts\n10.    The transferability of qualitative and quantitative measurement standards to interpretative research.\n\nThe course is structured around three approaches: Variance-based, case-based, and interpretative.\n\nDay 1\nWe introduce the main differences between the three approaches in terms of concepts and measurement. We talk about the extent to which each approach leans on – or can lean on – the others, and the extent to which they conflict with each other either fundamentally or in common practice. \n\nDay 2\nWe tackle human beings as sources of information. We talk about a large literature, mainly from survey methodology, about sources of bias when asking questions of people. These biases include social desirability bias, where people report distorted views of their attitudes or behaviours either strategically or to present themselves better to interviewers or themselves, and context effects, where prior questions influence answers to subsequent ones. We discuss the applicability of these and other biases to research, relying on a variety of tools including interviews and participant observation. \n\nDay 3\nWe dive deep into variance-based approaches to measurement. In particular, we examine in depth the latent variables perspective on measurement developed in psychology. In this approach, the notion that we cannot directly observe many of our concepts is tackled head on and modelled statistically using confirmatory factor analysis (CFA) and structural equation modelling (SEM). While the session itself will not teach you how to apply these tools, an additional, voluntary workshop during the week will provide an introduction to CFA and SEM in the lavaan package for the R statistical environment.\n\nDay 4\nWe dive equally deep into case-based approaches to measurement. In particular, we look at measurement in case study research, whether this research is based on historical sources or interviews. We talk about common measurement pitfalls in process tracing research, and apply process tracing tests to attempt to get around them. Moreover, we talk about the roles that theory, histography, and expert judgement plays in historical case study measurement. \n\nDay 5\nWe dive into interpretative approaches to measurement. We look at the extent to which the advice from Days 3 and 4 apply to this approach and talk about what standards do apply if the interpretative approach is different. We talk about taking meaning building seriously and what this means to concepts and measures of those concepts. Finally, we debate the feasibility and problems of quantification in interpretative work.\n\nWe strongly encourage you to bring your own research questions, concepts, hypotheses, and proposed measures – even if you are only in the early stages of research – to the course on Day 1.\n\nThis course will help you measure core concepts in your research. There will be plenty of opportunity to reflect on measurement issues in your own research, and develop ways to overcome them. "},{"$f":"IF($A507<>\"\",IF(ZOZNAM!M498=\"\",\"\",ZOZNAM!M498),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A507<>\"\",IF(ZOZNAM!N498=\"\",\"\",ZOZNAM!N498),\"\")","v":"nie"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!O498=\"\",\"\",ZOZNAM!O498),\"\")","v":"áno"},{"$f":"IF($A507<>\"\",IF(ZOZNAM!P498=\"\",\"\",ZOZNAM!P498),\"\")","v":1.8},{"$f":"IF($A507<>\"\",IF(ZOZNAM!Q498=\"\",\"\",ZOZNAM!Q498),\"\")","v":""},{"$f":"IF($A507<>\"\",IF(ZOZNAM!R498=\"\",\"\",ZOZNAM!R498),\"\")","v":""},{"$f":"IF($A507<>\"\",IF(ZOZNAM!S498=\"\",\"\",ZOZNAM!S498),\"\")","v":""},{"$f":"IF($A507<>\"\",IF(ZOZNAM!T498=\"\",\"\",ZOZNAM!T498),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C499)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C499)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C499)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C499)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C499)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C499)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L499)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L499)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L499)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L499)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L499)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L499)),FALSE))),ZOZNAM!G499>=$C$9),ZOZNAM!A499,\"\")","v":"EC221"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!B499=\"\",\"\",ZOZNAM!B499),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!C499=\"\",\"\",ZOZNAM!C499),\"\")","v":"Comparative Research Designs"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!D499=\"\",\"\",ZOZNAM!D499),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!E499=\"\",\"\",ZOZNAM!E499),\"\")","v":5},{"$f":"IF($A508<>\"\",IF(ZOZNAM!F499=\"\",\"\",ZOZNAM!F499),\"\")","v":5},{"$f":"IF($A508<>\"\",IF(ZOZNAM!G499=\"\",\"\",ZOZNAM!G499),\"\")","v":"2020-02-17"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!H499=\"\",\"\",ZOZNAM!H499),\"\")","v":"2020-02-21"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!I499=\"\",\"\",ZOZNAM!I499),\"\")","v":"895 EUR"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!J499=\"\",\"\",ZOZNAM!J499),\"\")","v":"2019-12-12"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!K499=\"\",\"\",ZOZNAM!K499),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9052&EventID=140"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!L499=\"\",\"\",ZOZNAM!L499),\"\")","v":"This course teaches how to conceive and conduct the most appropriate comparative research design, broadly defined as any research enterprise that comprises at least two ‘cases’ or units of analysis. It answers fundamental questions including:\nWhat is comparison?\nWhy compare; what is the value of comparison?\nWhat should be the mindset of a good comparative researcher?\nWhat is the link between a research puzzle and the choice for a comparative research design – and what would the alternative(s) be?\nAt which level(s) should ‘cases’ be envisaged?\nWe will examine the practicalities of different types of comparative research, following these hands-on steps:\n- prior arbitrations and ‘casing’, i.e. the definition of cases;\n- case selection, through basic or advanced strategies;\n- collecting and managing comparative data;\n- comparative data analysis (qualitative, QCA and quantitative options)."},{"$f":"IF($A508<>\"\",IF(ZOZNAM!M499=\"\",\"\",ZOZNAM!M499),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 2 kredity."},{"$f":"IF($A508<>\"\",IF(ZOZNAM!N499=\"\",\"\",ZOZNAM!N499),\"\")","v":"nie"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!O499=\"\",\"\",ZOZNAM!O499),\"\")","v":"áno"},{"$f":"IF($A508<>\"\",IF(ZOZNAM!P499=\"\",\"\",ZOZNAM!P499),\"\")","v":1.8},{"$f":"IF($A508<>\"\",IF(ZOZNAM!Q499=\"\",\"\",ZOZNAM!Q499),\"\")","v":""},{"$f":"IF($A508<>\"\",IF(ZOZNAM!R499=\"\",\"\",ZOZNAM!R499),\"\")","v":""},{"$f":"IF($A508<>\"\",IF(ZOZNAM!S499=\"\",\"\",ZOZNAM!S499),\"\")","v":""},{"$f":"IF($A508<>\"\",IF(ZOZNAM!T499=\"\",\"\",ZOZNAM!T499),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C500)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C500)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C500)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C500)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C500)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C500)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L500)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L500)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L500)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L500)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L500)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L500)),FALSE))),ZOZNAM!G500>=$C$9),ZOZNAM!A500,\"\")","v":"EC222"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!B500=\"\",\"\",ZOZNAM!B500),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!C500=\"\",\"\",ZOZNAM!C500),\"\")","v":"Introduction to Process Tracing"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!D500=\"\",\"\",ZOZNAM!D500),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!E500=\"\",\"\",ZOZNAM!E500),\"\")","v":5},{"$f":"IF($A509<>\"\",IF(ZOZNAM!F500=\"\",\"\",ZOZNAM!F500),\"\")","v":5},{"$f":"IF($A509<>\"\",IF(ZOZNAM!G500=\"\",\"\",ZOZNAM!G500),\"\")","v":"2020-02-17"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!H500=\"\",\"\",ZOZNAM!H500),\"\")","v":"2020-02-21"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!I500=\"\",\"\",ZOZNAM!I500),\"\")","v":"895 EUR"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!J500=\"\",\"\",ZOZNAM!J500),\"\")","v":"2019-12-12"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!K500=\"\",\"\",ZOZNAM!K500),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9066&EventID=140"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!L500=\"\",\"\",ZOZNAM!L500),\"\")","v":"This course will introduce you to the essentials of process tracing PT within method that focuses on tracing casual mechanisms – the 'link' between a trigger (X) and an outcome (Y). , its main underlying assumptions, and its applicability. We will discuss what causal mechanisms are, how we can 'trace' them, and what kind of causal inferences we can draw on the bases of a process-tracing study.\n\nTo position PT in the broader methodological field, we will look at how it relates to, but differs from, other (larger- and small-N) case study methods, and discuss what understanding of causality underlies PT.\nThis is a hands-on course, applying new insights to concrete examples and, when possible, to participants' own research projects."},{"$f":"IF($A509<>\"\",IF(ZOZNAM!M500=\"\",\"\",ZOZNAM!M500),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A509<>\"\",IF(ZOZNAM!N500=\"\",\"\",ZOZNAM!N500),\"\")","v":"nie"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!O500=\"\",\"\",ZOZNAM!O500),\"\")","v":"áno"},{"$f":"IF($A509<>\"\",IF(ZOZNAM!P500=\"\",\"\",ZOZNAM!P500),\"\")","v":1.8},{"$f":"IF($A509<>\"\",IF(ZOZNAM!Q500=\"\",\"\",ZOZNAM!Q500),\"\")","v":""},{"$f":"IF($A509<>\"\",IF(ZOZNAM!R500=\"\",\"\",ZOZNAM!R500),\"\")","v":""},{"$f":"IF($A509<>\"\",IF(ZOZNAM!S500=\"\",\"\",ZOZNAM!S500),\"\")","v":""},{"$f":"IF($A509<>\"\",IF(ZOZNAM!T500=\"\",\"\",ZOZNAM!T500),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C501)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C501)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C501)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C501)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C501)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C501)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L501)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L501)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L501)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L501)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L501)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L501)),FALSE))),ZOZNAM!G501>=$C$9),ZOZNAM!A501,\"\")","v":"EC223"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!B501=\"\",\"\",ZOZNAM!B501),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!C501=\"\",\"\",ZOZNAM!C501),\"\")","v":"Introduction to Qualitative Comparative Analysis (QCA)"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!D501=\"\",\"\",ZOZNAM!D501),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!E501=\"\",\"\",ZOZNAM!E501),\"\")","v":5},{"$f":"IF($A510<>\"\",IF(ZOZNAM!F501=\"\",\"\",ZOZNAM!F501),\"\")","v":5},{"$f":"IF($A510<>\"\",IF(ZOZNAM!G501=\"\",\"\",ZOZNAM!G501),\"\")","v":"2020-02-17"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!H501=\"\",\"\",ZOZNAM!H501),\"\")","v":"2020-02-21"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!I501=\"\",\"\",ZOZNAM!I501),\"\")","v":"895 EUR"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!J501=\"\",\"\",ZOZNAM!J501),\"\")","v":"2019-12-12"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!K501=\"\",\"\",ZOZNAM!K501),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9104&EventID=140"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!L501=\"\",\"\",ZOZNAM!L501),\"\")","v":"This course introduces crisp set and fuzzy set Qualitative Comparative Analysis (QCA) and its analysis in R using the interactive graphical interface of the package QCA. It will give participants a basic understanding of the analytic underpinnings and steps of QCA, and enable you to independently perform a basic crisp or fuzzy set QCA (Standard Analysis).\nCourse will look at the origins, analytic aims, and variants of QCA and deal in depth with techniques and practices of set calibration. The nuts and bolts the QCA technique, from parameters of fit to all steps of the analyses of necessity and sufficiency, are illustrated based on an empirical example study which we replicate in class. It covers the presentation and interpretation of QCA results, as well as ways to deal with limited diversity and other potential pitfalls. Hands-on exercises and daily lab sessions provide opportunities for practice and engagement."},{"$f":"IF($A510<>\"\",IF(ZOZNAM!M501=\"\",\"\",ZOZNAM!M501),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A510<>\"\",IF(ZOZNAM!N501=\"\",\"\",ZOZNAM!N501),\"\")","v":"nie"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!O501=\"\",\"\",ZOZNAM!O501),\"\")","v":"áno"},{"$f":"IF($A510<>\"\",IF(ZOZNAM!P501=\"\",\"\",ZOZNAM!P501),\"\")","v":1.8},{"$f":"IF($A510<>\"\",IF(ZOZNAM!Q501=\"\",\"\",ZOZNAM!Q501),\"\")","v":""},{"$f":"IF($A510<>\"\",IF(ZOZNAM!R501=\"\",\"\",ZOZNAM!R501),\"\")","v":""},{"$f":"IF($A510<>\"\",IF(ZOZNAM!S501=\"\",\"\",ZOZNAM!S501),\"\")","v":""},{"$f":"IF($A510<>\"\",IF(ZOZNAM!T501=\"\",\"\",ZOZNAM!T501),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C502)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C502)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C502)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C502)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C502)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C502)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L502)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L502)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L502)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L502)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L502)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L502)),FALSE))),ZOZNAM!G502>=$C$9),ZOZNAM!A502,\"\")","v":"EC224"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!B502=\"\",\"\",ZOZNAM!B502),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!C502=\"\",\"\",ZOZNAM!C502),\"\")","v":"Linear Regression with R: Estimation, Interpretation and Presentation"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!D502=\"\",\"\",ZOZNAM!D502),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!E502=\"\",\"\",ZOZNAM!E502),\"\")","v":5},{"$f":"IF($A511<>\"\",IF(ZOZNAM!F502=\"\",\"\",ZOZNAM!F502),\"\")","v":5},{"$f":"IF($A511<>\"\",IF(ZOZNAM!G502=\"\",\"\",ZOZNAM!G502),\"\")","v":"2020-02-17"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!H502=\"\",\"\",ZOZNAM!H502),\"\")","v":"2020-02-21"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!I502=\"\",\"\",ZOZNAM!I502),\"\")","v":"895 EUR"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!J502=\"\",\"\",ZOZNAM!J502),\"\")","v":"2019-12-12"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!K502=\"\",\"\",ZOZNAM!K502),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9059&EventID=140"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!L502=\"\",\"\",ZOZNAM!L502),\"\")","v":"Even though the buzzwords of our times are 'big data' and 'computer/data science', the foundation of statistical analyses in the social sciences is still classical linear regression. The robustness and versatility of this basic analytical technique is applicable to various research problems, and knowledge and experience gained in OLS regression is transferrable to other methods. If learning statistics should start from somewhere, it should be linear regression. \n\nThis course will teach you how to apply, evaluate and interpret the results of linear regression models in R.\n\nWe start off very briefly with the prerequisites – a revision of the essential knowledge needed prior to running a regression – and move on from basic specifications of the model to more complex problems and interpretations.\n\nWe will go through regression assumptions and problems with assumption violations, look at how to use dummy variables and interactions in regression models and how the framework of linear regression can also accommodate non-linear associations.\n\nLong Course Outline\nIf you want to move on to complex analyses and statistical models, you need to get the simple things right first. This course will familiarise you with the basic statistical concepts that will enable you to fully and correctly use the framework of linear regression. \n\nBy the end of the course you will have the theoretical and practical skills to responsibly run multivariate linear regressions on a variety of data configurations. This includes estimating multiple model specifications in R, presenting results in tables or in a graphical format and interpreting the coefficients for the reader. It also implies assessing the appropriateness of OLS regression for certain kinds of data and learning to make suitable corrections and adjustments when there is a mismatch between model requirements and data characteristics.\n\nThe basic introductory course in statistics usually gets to regression at the very end (if it goes further than that, then the speed of the course was probably too high). This course is for those who have got to that point but have not moved on much further. We will not focus too much on theory, but put the emphasis on correct application and interpretation. You don't need to know the mathematics that happens behind the scenes to understand what a regression model does and what it is capable of doing. \n\nThe course is also suitable for those who have briefly encountered OLS regression as part of a statistics class, but now wish to better understand how it works, where it breaks down, and how it can be applied in a thorough way. Due to the need to constantly focus on the application of linear models, the course is unsuitable for those who want an introductory course in general statistics. During one of the sessions we briefly cover some basic statistical concepts and tests, but this is only so that we can all delve into the topic of linear models from an equal footing. This cannot be considered a substitute for a good coverage of introductory statistics.\n\nDay 1\nWe start with a condensed review of some fundamental concepts in basic statistics: the z and t distributions, hypothesis testing, confidence intervals and correlation. This overview is intended to provide a solid foundation from which to advance in the following days. We begin to discuss a few basics of regression, such as how it goes beyond correlation, and for what type of questions it is helpful. In the lab session, we will go through a few of the basic data manipulation procedures commonly required before running any regression: data cleaning and recoding, transformations of data, etc. This is a good opportunity for you to get familiar, if need be, with working with syntax files in R and with the RStudio interface.\n\nDay 2\nWe delve fully into the fundamentals of Ordinary Least Squares (OLS) regression: how the estimation is carried out, and how we interpret the coefficients for simple (one predictor) and multiple regression (two or more predictors). I will present some basic formulas, but the goal will be to gain an intuitive understanding of how the estimation process functions, and what the results mean. In the lab session we put this newly-gained knowledge to the test, by running a few examples of linear models in R. We will interpret the output and the model fit.\n\nDay 3\nWe advance in our understanding of OLS by focusing on model specifications that almost always appear in empirical research, like models with dummy variables and with interactions between variables. We discuss the interpretation of such models and how you ought to communicate it to your audience. In the lab component we learn how to run these model specifications with R.\n\nDay 4\nThis day is devoted to preventing abuse in the estimation of linear models. As with the vast majority of statistical procedures, a series of assumptions underpins OLS regression. If these are not met, our results may deceive us. In this session we go over these assumptions, how they influence the results when they are not met, and what strategies we have to overcome this situation. In the lab we turn to these issues from a practical perspective. We run a test regression in R, assess whether the assumptions are met, and correct for assumption violations that exist (if possible). Through a step-by-step process, you will see how your estimates and model fit change when engaging in such a process.\n\nDay 5\nOn the last day we look into the various ways regression results can be presented. A properly formatted and thought through regression table is a must, but sometimes that is not enough. In fact, I would say that almost always it is not enough for an effective presentation of your models and your conclusions. For that it is necessary to visualise your results. This is especially true for interactions and non-linear effects. While tables of coefficients are still the dominant way of presenting results in academic journals, graphs and predicted values tend to be preferred in reports and analyses for larger, non-technical audiences. I believe strongly that you should be familiar with both types and should tailor the delivery of your results to the audience."},{"$f":"IF($A511<>\"\",IF(ZOZNAM!M502=\"\",\"\",ZOZNAM!M502),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A511<>\"\",IF(ZOZNAM!N502=\"\",\"\",ZOZNAM!N502),\"\")","v":"nie"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!O502=\"\",\"\",ZOZNAM!O502),\"\")","v":"áno"},{"$f":"IF($A511<>\"\",IF(ZOZNAM!P502=\"\",\"\",ZOZNAM!P502),\"\")","v":1.8},{"$f":"IF($A511<>\"\",IF(ZOZNAM!Q502=\"\",\"\",ZOZNAM!Q502),\"\")","v":""},{"$f":"IF($A511<>\"\",IF(ZOZNAM!R502=\"\",\"\",ZOZNAM!R502),\"\")","v":""},{"$f":"IF($A511<>\"\",IF(ZOZNAM!S502=\"\",\"\",ZOZNAM!S502),\"\")","v":""},{"$f":"IF($A511<>\"\",IF(ZOZNAM!T502=\"\",\"\",ZOZNAM!T502),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C503)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C503)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C503)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C503)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C503)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C503)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L503)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L503)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L503)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L503)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L503)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L503)),FALSE))),ZOZNAM!G503>=$C$9),ZOZNAM!A503,\"\")","v":"EC225"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!B503=\"\",\"\",ZOZNAM!B503),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!C503=\"\",\"\",ZOZNAM!C503),\"\")","v":"Introduction to Statistics for Political and Social Scientists Workshop"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!D503=\"\",\"\",ZOZNAM!D503),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!E503=\"\",\"\",ZOZNAM!E503),\"\")","v":5},{"$f":"IF($A512<>\"\",IF(ZOZNAM!F503=\"\",\"\",ZOZNAM!F503),\"\")","v":5},{"$f":"IF($A512<>\"\",IF(ZOZNAM!G503=\"\",\"\",ZOZNAM!G503),\"\")","v":"2020-02-17"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!H503=\"\",\"\",ZOZNAM!H503),\"\")","v":"2020-02-21"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!I503=\"\",\"\",ZOZNAM!I503),\"\")","v":"1 495 EUR"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!J503=\"\",\"\",ZOZNAM!J503),\"\")","v":"2019-12-12"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!K503=\"\",\"\",ZOZNAM!K503),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9056&EventID=140"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!L503=\"\",\"\",ZOZNAM!L503),\"\")","v":"This course introduces basic ideas of descriptive and inferential statistics. The course cover the basics: variables, randomisation, centrality and variability, probability distributions, point and interval estimates, hypothesis testing, correlation, simple and multiple linear regression models, model assumptions and violations, and how regression models can be improved.\nThe course and the lab session will be taught in R. "},{"$f":"IF($A512<>\"\",IF(ZOZNAM!M503=\"\",\"\",ZOZNAM!M503),\"\")","v":"09:00–12:30 and 14:00–16:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A512<>\"\",IF(ZOZNAM!N503=\"\",\"\",ZOZNAM!N503),\"\")","v":"nie"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!O503=\"\",\"\",ZOZNAM!O503),\"\")","v":"áno"},{"$f":"IF($A512<>\"\",IF(ZOZNAM!P503=\"\",\"\",ZOZNAM!P503),\"\")","v":1.8},{"$f":"IF($A512<>\"\",IF(ZOZNAM!Q503=\"\",\"\",ZOZNAM!Q503),\"\")","v":""},{"$f":"IF($A512<>\"\",IF(ZOZNAM!R503=\"\",\"\",ZOZNAM!R503),\"\")","v":""},{"$f":"IF($A512<>\"\",IF(ZOZNAM!S503=\"\",\"\",ZOZNAM!S503),\"\")","v":""},{"$f":"IF($A512<>\"\",IF(ZOZNAM!T503=\"\",\"\",ZOZNAM!T503),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C504)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C504)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C504)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C504)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C504)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C504)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L504)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L504)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L504)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L504)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L504)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L504)),FALSE))),ZOZNAM!G504>=$C$9),ZOZNAM!A504,\"\")","v":"EC226"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!B504=\"\",\"\",ZOZNAM!B504),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!C504=\"\",\"\",ZOZNAM!C504),\"\")","v":"Tools for the Analysis of Complex Social Systems: An Introduction"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!D504=\"\",\"\",ZOZNAM!D504),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!E504=\"\",\"\",ZOZNAM!E504),\"\")","v":5},{"$f":"IF($A513<>\"\",IF(ZOZNAM!F504=\"\",\"\",ZOZNAM!F504),\"\")","v":5},{"$f":"IF($A513<>\"\",IF(ZOZNAM!G504=\"\",\"\",ZOZNAM!G504),\"\")","v":"2020-02-17"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!H504=\"\",\"\",ZOZNAM!H504),\"\")","v":"2020-02-21"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!I504=\"\",\"\",ZOZNAM!I504),\"\")","v":"895 EUR"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!J504=\"\",\"\",ZOZNAM!J504),\"\")","v":"2019-12-12"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!K504=\"\",\"\",ZOZNAM!K504),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9074&EventID=140"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!L504=\"\",\"\",ZOZNAM!L504),\"\")","v":"Many researchers will agree that the world is a complex one that is hard to grasp – and even harder to map and analyse in social science research\n\nHow that complexity can be unboxed is something we will address in this course.\n\nThe course will introduce academic researchers and professionals in the realm of (policy) evaluation to the main tools for the analysis of complex social systems. We will cover various aspects of social complexity, including structural features, individual behavior and the role of relationships.\n\nLong Course Outline\nWhy do certain political and policy processes stall while others that look similar move ahead without trouble?\n\nWhy is it that certain political systems survive but others don’t?\n\nWhy is it still so hard to predict how policy measures will pan out in the real world?\n\nThe keyphrase is causal complexity. Causal complexity means that chance and randomness plays an important role in what we observe, that similar cases may follow dissimilar routes – and the other way around, of course – that the whole is more than the sum of the parts, and that social processes develop in a non-linear fashion.\n\nMapping and analysing social complexity is hard. This doesn’t mean that we should give up and go home. On the contrary, there is a whole range of tools and approaches that can be used to unbox this causal complexity.\n\nThis course focuses on those tools. We will discuss the nature of causal complexity and will work with various powerful instruments to map, analyse and interpret causal complexity.\n\nThe course is open to academic researchers and professionals in the realm of (policy) evaluation and research.\n\nDay 1\nWe focus on the nature of complex causality. We discuss where that complexity can be found and how it should be understood. To this end, we will look into issues of epistemology and ontology. We will also discuss what it means to do case-based research. While this is not a theoretical course, it is still important to get on the same page when doing actual research. \n\nDay 2\nWe focus on macro structures of social systems. We will learn to trace and map such structures with a technique called systems dynamics modelling. This approach will teach you how to draw causal loop diagrams and, if necessary, to explore and simulate various possible outcomes of the political and policy processes you are studying. System dynamics modelling shows how causes can turn into consequences, or the other way around, and how certain processes can be self-defeating or surprisingly effective. \n\nDay 3\nWe change focus from the macro- to the micro-level. We look into human behaviour, and how it can be analysed and understood as a matter of interactions between humans, using a tool called agent-based modeling. This offers a convenient way of exploring interactions and their (emergent) outcomes. It is also helpful in understanding the unpredictability of social complexity. \n\nDay 4\nWe focus on social networks. As we are increasingly aware of the many connections between people, we need to get acquainted with the tools of network analysis, in particular dynamic network analysis. We learn how to structure, differentiate and map relationships, and how to interpret the evolution of networks over time. \n\nDay 5\nWe connect all the dots from the previous parts, combining the insights gained to build a case-based understanding of social complexity. With the aid of two tools, Complex-it and un-code, we will explore the ways in which we can arrive at research that does justice to social complexity.\n\nAs you may gather from the description, the course takes a mixed-methods approach. As such, it we welcome researchers and evaluators from different strands, qualitative and quantitative. The only thing we ask from you is that you think about your research as being contextual, i.e. case-based."},{"$f":"IF($A513<>\"\",IF(ZOZNAM!M504=\"\",\"\",ZOZNAM!M504),\"\")","v":"14:00 – 17:30 each day"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!N504=\"\",\"\",ZOZNAM!N504),\"\")","v":"nie"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!O504=\"\",\"\",ZOZNAM!O504),\"\")","v":"nie"},{"$f":"IF($A513<>\"\",IF(ZOZNAM!P504=\"\",\"\",ZOZNAM!P504),\"\")","v":1.8},{"$f":"IF($A513<>\"\",IF(ZOZNAM!Q504=\"\",\"\",ZOZNAM!Q504),\"\")","v":""},{"$f":"IF($A513<>\"\",IF(ZOZNAM!R504=\"\",\"\",ZOZNAM!R504),\"\")","v":""},{"$f":"IF($A513<>\"\",IF(ZOZNAM!S504=\"\",\"\",ZOZNAM!S504),\"\")","v":""},{"$f":"IF($A513<>\"\",IF(ZOZNAM!T504=\"\",\"\",ZOZNAM!T504),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C505)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C505)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C505)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C505)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C505)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C505)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L505)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L505)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L505)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L505)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L505)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L505)),FALSE))),ZOZNAM!G505>=$C$9),ZOZNAM!A505,\"\")","v":"EC227"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!B505=\"\",\"\",ZOZNAM!B505),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!C505=\"\",\"\",ZOZNAM!C505),\"\")","v":"Introduction to Qualitative Interpretive Methods"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!D505=\"\",\"\",ZOZNAM!D505),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!E505=\"\",\"\",ZOZNAM!E505),\"\")","v":5},{"$f":"IF($A514<>\"\",IF(ZOZNAM!F505=\"\",\"\",ZOZNAM!F505),\"\")","v":5},{"$f":"IF($A514<>\"\",IF(ZOZNAM!G505=\"\",\"\",ZOZNAM!G505),\"\")","v":"2020-02-17"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!H505=\"\",\"\",ZOZNAM!H505),\"\")","v":"2020-02-21"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!I505=\"\",\"\",ZOZNAM!I505),\"\")","v":"895 EUR"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!J505=\"\",\"\",ZOZNAM!J505),\"\")","v":"2019-12-12"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!K505=\"\",\"\",ZOZNAM!K505),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9054&EventID=140"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!L505=\"\",\"\",ZOZNAM!L505),\"\")","v":"This course is for PhD students who have just started an interpretive or qualitative research project. It is aimed primarily at students of political science, sociology, international relations and public administration, but students of other social science disciplines such as public policy and anthropology will also benefit from it.\n\nThe course is organised around the typical steps of a research process – from how to formulate an interpretive research question to how to present and document analyses. It introduces a broad spectrum of interpretive approaches with a focus in particular on narrative methods and discourse analysis. These two approaches provide a good representation of different interpretive strategies, and by understanding their logics and uses, you will be able to select a research strategy that best fits your own research question."},{"$f":"IF($A514<>\"\",IF(ZOZNAM!M505=\"\",\"\",ZOZNAM!M505),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A514<>\"\",IF(ZOZNAM!N505=\"\",\"\",ZOZNAM!N505),\"\")","v":"nie"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!O505=\"\",\"\",ZOZNAM!O505),\"\")","v":"áno"},{"$f":"IF($A514<>\"\",IF(ZOZNAM!P505=\"\",\"\",ZOZNAM!P505),\"\")","v":1.8},{"$f":"IF($A514<>\"\",IF(ZOZNAM!Q505=\"\",\"\",ZOZNAM!Q505),\"\")","v":""},{"$f":"IF($A514<>\"\",IF(ZOZNAM!R505=\"\",\"\",ZOZNAM!R505),\"\")","v":""},{"$f":"IF($A514<>\"\",IF(ZOZNAM!S505=\"\",\"\",ZOZNAM!S505),\"\")","v":""},{"$f":"IF($A514<>\"\",IF(ZOZNAM!T505=\"\",\"\",ZOZNAM!T505),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C506)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C506)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C506)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C506)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C506)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C506)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L506)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L506)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L506)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L506)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L506)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L506)),FALSE))),ZOZNAM!G506>=$C$9),ZOZNAM!A506,\"\")","v":"EC229"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!B506=\"\",\"\",ZOZNAM!B506),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!C506=\"\",\"\",ZOZNAM!C506),\"\")","v":"Qualitative Interviewing Workshop"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!D506=\"\",\"\",ZOZNAM!D506),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!E506=\"\",\"\",ZOZNAM!E506),\"\")","v":5},{"$f":"IF($A515<>\"\",IF(ZOZNAM!F506=\"\",\"\",ZOZNAM!F506),\"\")","v":5},{"$f":"IF($A515<>\"\",IF(ZOZNAM!G506=\"\",\"\",ZOZNAM!G506),\"\")","v":"2020-02-17"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!H506=\"\",\"\",ZOZNAM!H506),\"\")","v":"2020-02-21"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!I506=\"\",\"\",ZOZNAM!I506),\"\")","v":"1 495 EUR"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!J506=\"\",\"\",ZOZNAM!J506),\"\")","v":"2019-12-12"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!K506=\"\",\"\",ZOZNAM!K506),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9061&EventID=140"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!L506=\"\",\"\",ZOZNAM!L506),\"\")","v":"This hands-on course will give students methodological tools, and a space for critical reflection, to refine qualitative interviewing techniques in your own research.\nLectures and discussions are about key methodological issues. This will broaden students´s methodological horizons and improve their understanding of how data collection through interviewing fits into the overall research design, whether qualitative or mixed methods. They will learn how interview data collection relates to epistemological and theoretical as well as practical and ethical questions.\n\nLong Course Outline\nFor various historical reasons, the social sciences — especially in the English-speaking world — have been dominated by neopositivism for decades. Indeed, neopositivism, with its commitment to the elucidation of nomothetic generalisations through a procedure of hypothesis-testing across multiple cases, is all too often mistaken for 'the scientific method,' crowding out other approaches to knowledge-production. The epistemic interests of neopositivist research are then mistaken for the goals of science per se, despite the fact that neopositivism doesn’t capture the actual practice of physical sciences like physics terribly well.\n\nThe result of this methodological monoculture is that although we frequently have criticisms of neopositivism, we much less frequently have systematic explications of how to do empirical research that doesn’t conform more or less to neopositivist strictures. Even rarer is non-neopositivist methodological exploration that tries to retain key notions like causation and generality, but doesn’t treat those notions in the conventional neopositivist manner.\n\nThis course will give you a grounding in precisely such an alternative: a non-neopositivist approach to social-scientific inquiry that emphasises causal explanation and has a significant place for generality.\n\nBuilding on the work of Max Weber and the tradition of American pragmatism, the analytical pragmatist approach seeks to articulate and refine conceptual tools that can be used to produce case-specific explanations of otherwise-puzzling outcomes.\n\nWe will begin with the philosophical foundations of an analytical pragmatist approach, and proceed to consider some examples of work that incorporates this sensibility, and how that sensibility might inform your own work."},{"$f":"IF($A515<>\"\",IF(ZOZNAM!M506=\"\",\"\",ZOZNAM!M506),\"\")","v":"09:00–12:30 and 14:00–16:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 4 kredity."},{"$f":"IF($A515<>\"\",IF(ZOZNAM!N506=\"\",\"\",ZOZNAM!N506),\"\")","v":"nie"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!O506=\"\",\"\",ZOZNAM!O506),\"\")","v":"áno"},{"$f":"IF($A515<>\"\",IF(ZOZNAM!P506=\"\",\"\",ZOZNAM!P506),\"\")","v":1.8},{"$f":"IF($A515<>\"\",IF(ZOZNAM!Q506=\"\",\"\",ZOZNAM!Q506),\"\")","v":""},{"$f":"IF($A515<>\"\",IF(ZOZNAM!R506=\"\",\"\",ZOZNAM!R506),\"\")","v":""},{"$f":"IF($A515<>\"\",IF(ZOZNAM!S506=\"\",\"\",ZOZNAM!S506),\"\")","v":""},{"$f":"IF($A515<>\"\",IF(ZOZNAM!T506=\"\",\"\",ZOZNAM!T506),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C507)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C507)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C507)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C507)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C507)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C507)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L507)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L507)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L507)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L507)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L507)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L507)),FALSE))),ZOZNAM!G507>=$C$9),ZOZNAM!A507,\"\")","v":"EC230"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!B507=\"\",\"\",ZOZNAM!B507),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!C507=\"\",\"\",ZOZNAM!C507),\"\")","v":"Focus Groups – From Qualitative Data Generation to Analysis"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!D507=\"\",\"\",ZOZNAM!D507),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!E507=\"\",\"\",ZOZNAM!E507),\"\")","v":5},{"$f":"IF($A516<>\"\",IF(ZOZNAM!F507=\"\",\"\",ZOZNAM!F507),\"\")","v":5},{"$f":"IF($A516<>\"\",IF(ZOZNAM!G507=\"\",\"\",ZOZNAM!G507),\"\")","v":"2020-02-17"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!H507=\"\",\"\",ZOZNAM!H507),\"\")","v":"2020-02-21"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!I507=\"\",\"\",ZOZNAM!I507),\"\")","v":"895 EUR"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!J507=\"\",\"\",ZOZNAM!J507),\"\")","v":"2019-12-12"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!K507=\"\",\"\",ZOZNAM!K507),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9062&EventID=140"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!L507=\"\",\"\",ZOZNAM!L507),\"\")","v":"Focus groups have become quite fashionable in social science over the last decade, notably because of the richness of discourse and interactions to which they give access. But they are generally more demanding than expected.\n\nUsing focus groups not only requires more resources than other qualitative methods; it also involves a series of decisions concerning the different technical aspects involved, from design and organisation to analysis. These many decisions require one to be very clear about one’s research objectives.\n\nThis course will introduce you to a variety of uses for focus groups, in terms of epistemology and research topics. We will discuss in detail the complete process of organising a focus group – including typical problems like sampling, designing questions and moderation, but also practical considerations like setting the room, recording, contacting, selecting and rewarding participants.\n\nLong Course Outline\nGroup interview, collective interview, group discussion, multiple interviews, focus group… all these kinds of interviews tend nowadays to be called focus groups. The idea that interviewing several people at the same time might be more advantageous than interviewing them separately was discovered a long time ago, and Merton’s ‘focused interview’ was only one of several suggestions about the reasons and the ways to do so.\n\nMerton’s model became successful in the field of applied research and consulting, where its technical aspects were refined during the ‘70s and ‘80s. In the 1990s, social science rediscovered the method now generally called ‘focus group’, but the variety of uses and techniques, apparent in the diverse original denominations, persists.\n\nTo define more precisely what is meant by this term, one can begin with the three-point definition provided by David L. Morgan, who was essential in developing this method for use in social sciences. He defines a focus group as ‘as a research technique that collects data through group interaction on a topic determined by the researcher’ (Morgan 1997: 130).\n\nThree elements stand out in this relatively inclusive definition:\n\nFirstly, the focus group is a research method designed to collect data. It is thus intended to advance research; in other words, collecting discursive data destined for analysis, provoked and collected by a researcher on themes that she or he has chosen.\nSecondly, in the focus group the source of data lies in the interaction within the discussion group; the social relations that characterise them are not reduced to the relationship between the interviewer and interviewee but require the interactions of a collective discussion to be taken into account.\nThirdly and finally, the focus group supposes the active intervention of the researcher in the creation of the group discussion in order to collect data.\nThis definition enables us to exclude configurations similar to focus groups such as, for example, collective interviews used outside a research context for marketing or training purposes. It also enables us to distinguish this method from other procedures that include multiple participants but which do not allow the emergence of interactive discussions, such as group experiments aimed at recording actions rather than discourse. Morgan’s definition also excludes direct observation of naturally occurring discussions, which cannot be described as interviews to the extent that the researcher does not intervene in the creation of data. Collective interviews therefore cannot be assimilated into ordinary conversation, such as might occur in everyday life. Finally, the focus group thus differs from citizen conferences initiated by political actors as a way of including citizens in the political decision-making process.\n\nThe chief characteristic of a focus group is the richness of its data: discourse must be considered as action and cannot be reduced to the expression of pre-existing opinions. But this richness is costly compared with what can be achieved with standard research methods. Collecting the data requires complex and expensive organisation, which is difficult for young researchers working on their own project. More importantly, analysing focus group data is far more difficult than data from face-to-face interviews, at least for research purposes, and takes a lot of time. This tends to be forgotten in the current fashion for focus groups.\n\nThus it is important for doctoral students and young researchers to get a clear idea of the consequences of focus group methodology before embarking on one – and this is the first purpose of this course. However, part of the fascination with focus groups comes from the fact that the method embodies most of the challenges and specificities of qualitative research. In reviewing all the difficulties of focus group research, the course will encounter most questions faced by qualitative researchers, both epistemologically and technically.\n\nDay 1\nI present the history of focus group research and its developments, to identify the domains and research questions in which it is most useful.\n\nDays 2 and 3\nI explain how to design a focus group, including sampling, questioning and moderating, as well as practical organisational considerations. Students will organise a real focus group.\n\nDay 4\nFocus group discussions are more complex to analyse than standard face-to-face interviews, so this day will place strong emphasis on analysis, from principles to techniques and tools. I will suggest a mix of interpretation, systematic comparison, codification and automatic textual analysis.\n\nDay 5\nWe turn our attention to participants’ own research projects."},{"$f":"IF($A516<>\"\",IF(ZOZNAM!M507=\"\",\"\",ZOZNAM!M507),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A516<>\"\",IF(ZOZNAM!N507=\"\",\"\",ZOZNAM!N507),\"\")","v":"nie"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!O507=\"\",\"\",ZOZNAM!O507),\"\")","v":"áno"},{"$f":"IF($A516<>\"\",IF(ZOZNAM!P507=\"\",\"\",ZOZNAM!P507),\"\")","v":1.8},{"$f":"IF($A516<>\"\",IF(ZOZNAM!Q507=\"\",\"\",ZOZNAM!Q507),\"\")","v":""},{"$f":"IF($A516<>\"\",IF(ZOZNAM!R507=\"\",\"\",ZOZNAM!R507),\"\")","v":""},{"$f":"IF($A516<>\"\",IF(ZOZNAM!S507=\"\",\"\",ZOZNAM!S507),\"\")","v":""},{"$f":"IF($A516<>\"\",IF(ZOZNAM!T507=\"\",\"\",ZOZNAM!T507),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C508)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C508)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C508)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C508)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C508)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C508)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L508)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L508)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L508)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L508)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L508)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L508)),FALSE))),ZOZNAM!G508>=$C$9),ZOZNAM!A508,\"\")","v":"EC231"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!B508=\"\",\"\",ZOZNAM!B508),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!C508=\"\",\"\",ZOZNAM!C508),\"\")","v":"Online Qualitative Methods and Virtual Ethnography"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!D508=\"\",\"\",ZOZNAM!D508),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!E508=\"\",\"\",ZOZNAM!E508),\"\")","v":5},{"$f":"IF($A517<>\"\",IF(ZOZNAM!F508=\"\",\"\",ZOZNAM!F508),\"\")","v":5},{"$f":"IF($A517<>\"\",IF(ZOZNAM!G508=\"\",\"\",ZOZNAM!G508),\"\")","v":"2020-02-17"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!H508=\"\",\"\",ZOZNAM!H508),\"\")","v":"2020-02-21"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!I508=\"\",\"\",ZOZNAM!I508),\"\")","v":"895 EUR"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!J508=\"\",\"\",ZOZNAM!J508),\"\")","v":"2019-12-12"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!K508=\"\",\"\",ZOZNAM!K508),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9087&EventID=140"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!L508=\"\",\"\",ZOZNAM!L508),\"\")","v":"Digital technologies have become essential for empirical research across many disciplines. This course deals with concrete ways of using digital technology for qualitative data collection. It is aimed at scholars who seek to apply qualitative online data collection methods in their studies. \n\nOnline research methods are essentially facilitators of ‘traditional’ methods, modified for use in online contexts, such as email, chat rooms, web pages, various forms of instant messaging, and other internet applications.\n\nThe course starts by introducing basic characteristics of qualitative online research methods and their temporal structure. It provides an overview of advantages and disadvantages of online research methods in general.\n\nWe continue by examining different forms of online qualitative data collection, in particular online focus groups, online interviews and virtual ethnography, addressing methodological as well as practical considerations.\n\nFinally, we look at how to combine various online data collection methods, and tackle some ethical research issues.\n\nLong Course Outline\nThis course focuses on the use of digital technologies for qualitative data collection, from a conceptual and applied perspective.\n\nIts goal is to acquaint you with the basics of online qualitative research methods, and to cover methodological and practical aspects of online focus groups, online in-depth interviews and virtual ethnography (online fieldwork).\n\nWe will examine in detail:\n\nPros and cons of online research in general and qualitative research in particular;\nTemporal dimensions of online qualitative research (synchronous, asynchronous);\nQualitative methods (online focus groups, online interviews, online fieldwork – virtual ethnography)\nSampling strategies in online qualitative studies;\nPrinciples of qualitative data collection with digital technologies;\nTechnological, ethical and methodological issues of online data collection methods.\nAfter the course, you will be able to:\n\nUnderstand concepts and assumptions of social science methodology using digital technologies;\nUse digital technologies to collect qualitative data;\nCollect, analyse and integrate (merge) data collected by digital technologies, using various online qualitative methods;\nSolve technological, ethical social science research problems using digital technologies.\nThe course consists of lectures, hands-on exercises and daily assignments.\n\nTo facilitate discussion, I expect you to read selected texts about methodological issues, critically analyse online methods studies focusing on online research methods, and complete practical data collection exercises for each method covered (online interviews and virtual ethnography).\n\nAs a take-home assignment, I will ask you to compose a methodological plan for an online qualitative study. This could be your actual research project or an imaginary project envisaged only for educative purposes.  "},{"$f":"IF($A517<>\"\",IF(ZOZNAM!M508=\"\",\"\",ZOZNAM!M508),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A517<>\"\",IF(ZOZNAM!N508=\"\",\"\",ZOZNAM!N508),\"\")","v":"nie"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!O508=\"\",\"\",ZOZNAM!O508),\"\")","v":"áno"},{"$f":"IF($A517<>\"\",IF(ZOZNAM!P508=\"\",\"\",ZOZNAM!P508),\"\")","v":1.8},{"$f":"IF($A517<>\"\",IF(ZOZNAM!Q508=\"\",\"\",ZOZNAM!Q508),\"\")","v":""},{"$f":"IF($A517<>\"\",IF(ZOZNAM!R508=\"\",\"\",ZOZNAM!R508),\"\")","v":""},{"$f":"IF($A517<>\"\",IF(ZOZNAM!S508=\"\",\"\",ZOZNAM!S508),\"\")","v":""},{"$f":"IF($A517<>\"\",IF(ZOZNAM!T508=\"\",\"\",ZOZNAM!T508),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C509)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C509)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C509)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C509)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C509)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C509)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L509)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L509)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L509)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L509)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L509)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L509)),FALSE))),ZOZNAM!G509>=$C$9),ZOZNAM!A509,\"\")","v":"EC232"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!B509=\"\",\"\",ZOZNAM!B509),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!C509=\"\",\"\",ZOZNAM!C509),\"\")","v":"Survey Design"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!D509=\"\",\"\",ZOZNAM!D509),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!E509=\"\",\"\",ZOZNAM!E509),\"\")","v":5},{"$f":"IF($A518<>\"\",IF(ZOZNAM!F509=\"\",\"\",ZOZNAM!F509),\"\")","v":5},{"$f":"IF($A518<>\"\",IF(ZOZNAM!G509=\"\",\"\",ZOZNAM!G509),\"\")","v":"2020-02-17"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!H509=\"\",\"\",ZOZNAM!H509),\"\")","v":"2020-02-21"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!I509=\"\",\"\",ZOZNAM!I509),\"\")","v":"895 EUR"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!J509=\"\",\"\",ZOZNAM!J509),\"\")","v":"2019-12-12"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!K509=\"\",\"\",ZOZNAM!K509),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9063&EventID=140"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!L509=\"\",\"\",ZOZNAM!L509),\"\")","v":"This course provides in-depth guidelines to survey research design, embedding and discussing the so-called Total Survey Error (TSE) framework.\nThe course will discuss the assumption of the TSE and critically evaluate the full survey life cycle against this paradigm, participants will discuss the core of idea of survey sampling and trade-offs between probability and non-probability samples; mode selection and trade-offs; question and questionnaire design, fieldwork implementation; effects of response and non-response; as well as new challenges to survey design and extensions to the TSE.\nThe content will be applicable to surveys of individuals, households, and organisations."},{"$f":"IF($A518<>\"\",IF(ZOZNAM!M509=\"\",\"\",ZOZNAM!M509),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A518<>\"\",IF(ZOZNAM!N509=\"\",\"\",ZOZNAM!N509),\"\")","v":"nie"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!O509=\"\",\"\",ZOZNAM!O509),\"\")","v":"áno"},{"$f":"IF($A518<>\"\",IF(ZOZNAM!P509=\"\",\"\",ZOZNAM!P509),\"\")","v":1.8},{"$f":"IF($A518<>\"\",IF(ZOZNAM!Q509=\"\",\"\",ZOZNAM!Q509),\"\")","v":""},{"$f":"IF($A518<>\"\",IF(ZOZNAM!R509=\"\",\"\",ZOZNAM!R509),\"\")","v":""},{"$f":"IF($A518<>\"\",IF(ZOZNAM!S509=\"\",\"\",ZOZNAM!S509),\"\")","v":""},{"$f":"IF($A518<>\"\",IF(ZOZNAM!T509=\"\",\"\",ZOZNAM!T509),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C510)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C510)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C510)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C510)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C510)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C510)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L510)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L510)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L510)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L510)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L510)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L510)),FALSE))),ZOZNAM!G510>=$C$9),ZOZNAM!A510,\"\")","v":"EC233"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!B510=\"\",\"\",ZOZNAM!B510),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!C510=\"\",\"\",ZOZNAM!C510),\"\")","v":"Python Programming for Social Sciences: Collecting, Analysing and Presenting Social Media Data"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!D510=\"\",\"\",ZOZNAM!D510),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!E510=\"\",\"\",ZOZNAM!E510),\"\")","v":5},{"$f":"IF($A519<>\"\",IF(ZOZNAM!F510=\"\",\"\",ZOZNAM!F510),\"\")","v":5},{"$f":"IF($A519<>\"\",IF(ZOZNAM!G510=\"\",\"\",ZOZNAM!G510),\"\")","v":"2020-02-17"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!H510=\"\",\"\",ZOZNAM!H510),\"\")","v":"2020-02-21"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!I510=\"\",\"\",ZOZNAM!I510),\"\")","v":"895 EUR"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!J510=\"\",\"\",ZOZNAM!J510),\"\")","v":"2019-12-12"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!K510=\"\",\"\",ZOZNAM!K510),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9091&EventID=140"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!L510=\"\",\"\",ZOZNAM!L510),\"\")","v":"This course provides a basis in Python programming and its application in particular to online social media data.\n\nPython is one of the most popular and versatile script languages, and has a large user community. It has become increasingly popular among social scientists because of its attractive features: ease to learn, flexibility in handling a massive dataset, and fast calculation.\n\nA large set of libraries helps users solve complex problems – making Python particularly attractive for those who need to handle massive amounts of diversely structured data collected online.\n\nLong Course Outline\nNowadays, very large and diverse kinds of data are becoming available to researchers. Online social media data in particular has great potential to provide a new approach to social science questions.\n\nHowever, these kinds of data have diverse data structures, which often differ from traditional social science data. Some are provided by a structured way through application program interfaces (API): e.g. Twitter and Facebook; others could be semi-structured data such as web pages. Moreover, those data could be in different formats and the available data size much larger than before.\n\nAlthough widely used software packages such as R, STATA, and Matlab are practical for statistical analysis, they are of only limited use for gathering, transforming, managing, and analysing new, massive and diversely structured types of data.\n\nAs an alternative to these packages, many scholars have begun to use Python, a popular, versatile script language with a large user community. Python has become popular because it is open source, easy to learn (even for beginners), and allows researchers to handle massive datasets quickly.\n\nA large, rapidly expanding set of libraries helps users solve complex problems with ease. These include Tensorflow and Keras: newly developed libraries for deep learning.\n\nFamiliarity with Python language opens up new possibilities for conducting your research in a more efficient way.\n\nThe course covers:\n\nfundamental principles of programming and their implementation in Python language\ncollecting social media data\nhandling large amounts of data in diverse formats\nusing Python libraries for data analysis.\nThe course will include concrete examples of how to collect, manage and analyse social media data, especially Twitter."},{"$f":"IF($A519<>\"\",IF(ZOZNAM!M510=\"\",\"\",ZOZNAM!M510),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A519<>\"\",IF(ZOZNAM!N510=\"\",\"\",ZOZNAM!N510),\"\")","v":"nie"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!O510=\"\",\"\",ZOZNAM!O510),\"\")","v":"áno"},{"$f":"IF($A519<>\"\",IF(ZOZNAM!P510=\"\",\"\",ZOZNAM!P510),\"\")","v":1.8},{"$f":"IF($A519<>\"\",IF(ZOZNAM!Q510=\"\",\"\",ZOZNAM!Q510),\"\")","v":""},{"$f":"IF($A519<>\"\",IF(ZOZNAM!R510=\"\",\"\",ZOZNAM!R510),\"\")","v":""},{"$f":"IF($A519<>\"\",IF(ZOZNAM!S510=\"\",\"\",ZOZNAM!S510),\"\")","v":""},{"$f":"IF($A519<>\"\",IF(ZOZNAM!T510=\"\",\"\",ZOZNAM!T510),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C511)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C511)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C511)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C511)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C511)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C511)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L511)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L511)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L511)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L511)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L511)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L511)),FALSE))),ZOZNAM!G511>=$C$9),ZOZNAM!A511,\"\")","v":"EC234"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!B511=\"\",\"\",ZOZNAM!B511),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!C511=\"\",\"\",ZOZNAM!C511),\"\")","v":"Introduction to Quantitative Text Analysis"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!D511=\"\",\"\",ZOZNAM!D511),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!E511=\"\",\"\",ZOZNAM!E511),\"\")","v":5},{"$f":"IF($A520<>\"\",IF(ZOZNAM!F511=\"\",\"\",ZOZNAM!F511),\"\")","v":5},{"$f":"IF($A520<>\"\",IF(ZOZNAM!G511=\"\",\"\",ZOZNAM!G511),\"\")","v":"2020-02-17"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!H511=\"\",\"\",ZOZNAM!H511),\"\")","v":"2020-02-21"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!I511=\"\",\"\",ZOZNAM!I511),\"\")","v":"895 EUR"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!J511=\"\",\"\",ZOZNAM!J511),\"\")","v":"2019-12-12"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!K511=\"\",\"\",ZOZNAM!K511),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9064&EventID=140"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!L511=\"\",\"\",ZOZNAM!L511),\"\")","v":"This course introduces you to the family of quantitative text analysis methods in the ‘content analysis’ tradition, using a variety of examples from political science and related disciplines.\n\nWe will cover basic aspects of content analysis, starting with manual content analysis and continuing with an introduction to some of the most popular approaches to computer-assisted text analysis.\n\nYou will learn practical aspects of text analysis, such as creating coding schemes, selecting documents, assessing inter-coder reliability, scaling, and validating the text analysis output.\n\nThe course comprises a mix of lectures and seminars, and will involve hands-on exercises, the majority of which will be completed by following, step-by-step, code provided in the R statistical software, so prior knowledge of R is not necessary.\n\nLong Course Outline\nMost social science concepts are not directly observable, so text analysis can provide a useful method for measuring quantities of interest that would otherwise be difficult to estimate. By analysing the speeches of legislators, for example, we can classify them as charismatic, populist, authoritarian, liberal, and so on. Similarly, by analysing the content of newspaper editorials, we can infer whether the media in question were biased in favour of a particular candidate during an election campaign.\n\nText analysis is a specific type of content analysis, typically defined as a method whose goal is to summarise a body of information in the form of text, in order to make inferences about the actor behind this body of information. This implies that text analysis can be seen as a data reduction method since its goal is to reduce the text material to more manageable bits of information.\n\nText analysis can be also seen as a method for descriptive inference. Weber (1990, p. 9) for instance, defines content analysis as ‘a method that uses a set of procedures to make valid inferences from text’. The idea is that, by analysing the textual output of an actor, we can infer something about this actor. This conceptualisation of content and text analysis implies that we can use it as a tool for measurement in the social sciences. In this view of content analysis we are concerned with replicability and objectivity, (Neuendorf 2002, pp. 10-15), and therefore we should distinguish text analysis from other approaches/methods such as discourse analysis, rhetorical analysis, constructivism, ethnography and so on.\n\nThis course will familiarise you with manual and computer-assisted text analysis. Following Krippenforff (2004) and Neuendorf (2002), it will introduce you to the basic concepts and building blocks in content analysis designs. We will address and discuss the following questions:\n\nCoding scheme What are the theoretical underpinnings of the coding scheme? How are the categories selected and operationalised? What are the coding units? How is coding performed? Is our coding scheme valid?\nSelection of documents What guides the selection of texts? Are texts sufficiently comparable? Are our documents valid and reliable indicators of the quantities of interest? How can we acquire and process text for computer-assisted text analysis?\nAggregation Are texts coded by different coders? If so, how are their results aggregated? If not, how can we ensure inter-coder reliability? What statistical measures can be used to estimate inter-coder reliability?\nScaling Are we estimating the quantities of interest directly? If not, how do we scale data in order to estimate the quantities of interest? Is our scaling valid and reliable?\nFor manual text analysis, the course will also look at the often-overlooked distinction between the analysis of manifest content and judgemental coding. For computer-assisted text analysis, it will introduce you to a variety of popular methods, such as the use of content analysis dictionaries (including sentiment analysis), scaling methods (wordscores, wordfish), and supervised and unsupervised learning approaches (including topic models). We will discuss the relationship between reliability and validity, illustrate methods for estimating inter-coder reliability, and explore the links between manual and computer-assisted text analysis in terms of validation and training of supervised classification methods.\n\nThe course will be taught via a mix of lectures, seminars and hands-on exercises. The examples used to illustrate the promises as well as the pitfalls of content analysis will be concerned with various applications across the social sciences (e.g. sentiment analysis of the press, frames analysis of social movements, estimating the positions of political actors, agenda-setting in the EU), while the majority of the exercises will involve following, step-by-step, code provided in the R statistical software, so previous knowledge of R is not necessary. In most of the seminars we will use R Studio."},{"$f":"IF($A520<>\"\",IF(ZOZNAM!M511=\"\",\"\",ZOZNAM!M511),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A520<>\"\",IF(ZOZNAM!N511=\"\",\"\",ZOZNAM!N511),\"\")","v":"nie"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!O511=\"\",\"\",ZOZNAM!O511),\"\")","v":"áno"},{"$f":"IF($A520<>\"\",IF(ZOZNAM!P511=\"\",\"\",ZOZNAM!P511),\"\")","v":1.8},{"$f":"IF($A520<>\"\",IF(ZOZNAM!Q511=\"\",\"\",ZOZNAM!Q511),\"\")","v":""},{"$f":"IF($A520<>\"\",IF(ZOZNAM!R511=\"\",\"\",ZOZNAM!R511),\"\")","v":""},{"$f":"IF($A520<>\"\",IF(ZOZNAM!S511=\"\",\"\",ZOZNAM!S511),\"\")","v":""},{"$f":"IF($A520<>\"\",IF(ZOZNAM!T511=\"\",\"\",ZOZNAM!T511),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C512)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C512)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C512)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C512)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C512)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C512)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L512)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L512)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L512)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L512)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L512)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L512)),FALSE))),ZOZNAM!G512>=$C$9),ZOZNAM!A512,\"\")","v":"EC235"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!B512=\"\",\"\",ZOZNAM!B512),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!C512=\"\",\"\",ZOZNAM!C512),\"\")","v":"Introduction to Applied Social Network Analysis"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!D512=\"\",\"\",ZOZNAM!D512),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!E512=\"\",\"\",ZOZNAM!E512),\"\")","v":5},{"$f":"IF($A521<>\"\",IF(ZOZNAM!F512=\"\",\"\",ZOZNAM!F512),\"\")","v":5},{"$f":"IF($A521<>\"\",IF(ZOZNAM!G512=\"\",\"\",ZOZNAM!G512),\"\")","v":"2020-02-17"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!H512=\"\",\"\",ZOZNAM!H512),\"\")","v":"2020-02-21"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!I512=\"\",\"\",ZOZNAM!I512),\"\")","v":"895 EUR"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!J512=\"\",\"\",ZOZNAM!J512),\"\")","v":"2019-12-12"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!K512=\"\",\"\",ZOZNAM!K512),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9135&EventID=140"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!L512=\"\",\"\",ZOZNAM!L512),\"\")","v":"This course provides a hands-on overview of applied social network analysis techniques and their theoretical underpinnings in political and social sciences.\n\nBy the end of it, you will be able to independently conduct basic exploratory analyses using different types of relational data and make informed choices about further steps for inferential network analysis and confirmatory analyses in different contexts: politics, economics, sociology, psychology.\n\nWe begin with the practical challenges and solutions in working with network data, and then introduce you to network structures, actors’ positions within networks, and the implications of these for different behaviours. Towards the end of the week, we will cover the basics of hypothesis testing and network dynamics.\n\nThe course combines workshop-style activities, using participants’ own data and example datasets in any of two preferred software environments (point-and-click or coding), and making use of data visualisations, including discussions of network, political, and social theory in conducting social network research.\n\nLong Course Outline\nNetwork analysis has a long tradition in the social sciences and has made considerable contributions to our understanding of the world around us. With the rapid growth and development of network science, and with the increasing availability of data, students can now formalise and explore many more networked phenomena – from international relations to policy and political relations.\n\nSocial network analysis offers quantitative assessments of relational eco-systems from multiple perspectives, allowing users to leverage and corroborate information from different levels of analysis – whole network, communities, and local action; organisational/event level, and individual level; direct and/or indirect connections; different types of connections, etc.\n\nThe course’s main goal is to equip you with practical network analytical skills and help you make theory-informed choices in exploring and validating networks of different sizes and types. To this end, we will cover five practical areas of research: working with network data, learning from the topological properties of networks, exploring actors’ network positions, testing hypotheses and understanding network dynamics. Each day, you will be able to work with your own data or example data will be provided for you. We’ll address the debate of theory- versus data-driven hypothesis formulations, the treachery of an interdisciplinary vocabulary, and the potential of practical applications of network analysis to sociopolitical problems.\n\nPractical and theoretical exercises will help you formulate appropriate research questions, choose or collect the best available data, and make informed choices about how to analyse them and interpret the results.\n\nDay 1: Working with Network Data\n\nNetwork data is quite peculiar as compared to typical data for statistical analyses. Their format, storage, and meaning are not always straightforward. Getting the data in the right form for analysis is the most important and often the most time-consuming part of the research. We’ll briefly cover data collection methods, typical database formats, and try some transformation and visualisation techniques used in exploratory analyses. We finish with a discussion on diversity of operationalisations and interpretations, using examples from your own work.\n\nDay 2: Understanding Network Structures\n\nThe structure of a network can tell you a lot about the underlying relational processes and mechanisms at work. At the macro-level, we explore the different network structures displayed in our diverse empirical data. We discuss what the main network properties tell us about our subject of analysis and do our first network-level analyses: degree distributions, centralisation, clustering patterns, communities. You’ll be introduced to the theoretical and technical complexities that span from the results – understanding mechanisms at work in various types of networks. We finish with a discussion on choosing productive avenues for further research based on network statistics at the whole-network level.\n\nDay 3: Understanding Actors’ Positions in Networks\n\nThe positions different actors display in the network entail constraints and opportunities for their behaviour. We will discuss centrality measures and different theories of relationship formation applied to your research, and explore models for hypothesis testing at the individual level. The central discussion for this day will be the idea of causality in social networks, trying to understand causal pathways to network positions of actors. We finish with a discussion on choosing appropriate avenues for further research based on network statistics at the individual level.\n\nDay 4: Testing Network Hypotheses \n\nAfter learning the basics of descriptive statistics in networks, we cover the main techniques for testing network hypotheses at different levels of analysis (macro-level and individual-level): traditional statistical tests, regression models for networks. We endwith a discussion on the science and art of choosing the right regression models for networks, assumptions, implications and interpretations of results.\n\nDay 5: Exploring Network Dynamics\n\nWe often have the opportunity to collect and work with temporal data about networks. In this session, we bring them all together: how network structures, positions, mechanisms and processes behave over time. We wrap the course up with opportunities, challenges, and limitations of conducting disciplinary, interdisciplinary and trans-disciplinary research using the toolkit of social network analysis."},{"$f":"IF($A521<>\"\",IF(ZOZNAM!M512=\"\",\"\",ZOZNAM!M512),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A521<>\"\",IF(ZOZNAM!N512=\"\",\"\",ZOZNAM!N512),\"\")","v":"nie"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!O512=\"\",\"\",ZOZNAM!O512),\"\")","v":"áno"},{"$f":"IF($A521<>\"\",IF(ZOZNAM!P512=\"\",\"\",ZOZNAM!P512),\"\")","v":1.8},{"$f":"IF($A521<>\"\",IF(ZOZNAM!Q512=\"\",\"\",ZOZNAM!Q512),\"\")","v":""},{"$f":"IF($A521<>\"\",IF(ZOZNAM!R512=\"\",\"\",ZOZNAM!R512),\"\")","v":""},{"$f":"IF($A521<>\"\",IF(ZOZNAM!S512=\"\",\"\",ZOZNAM!S512),\"\")","v":""},{"$f":"IF($A521<>\"\",IF(ZOZNAM!T512=\"\",\"\",ZOZNAM!T512),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C513)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C513)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C513)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C513)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C513)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C513)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L513)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L513)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L513)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L513)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L513)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L513)),FALSE))),ZOZNAM!G513>=$C$9),ZOZNAM!A513,\"\")","v":"EC236"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!B513=\"\",\"\",ZOZNAM!B513),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!C513=\"\",\"\",ZOZNAM!C513),\"\")","v":"Advanced Qualitative Data Analysis"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!D513=\"\",\"\",ZOZNAM!D513),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!E513=\"\",\"\",ZOZNAM!E513),\"\")","v":5},{"$f":"IF($A522<>\"\",IF(ZOZNAM!F513=\"\",\"\",ZOZNAM!F513),\"\")","v":5},{"$f":"IF($A522<>\"\",IF(ZOZNAM!G513=\"\",\"\",ZOZNAM!G513),\"\")","v":"2020-02-17"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!H513=\"\",\"\",ZOZNAM!H513),\"\")","v":"2020-02-21"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!I513=\"\",\"\",ZOZNAM!I513),\"\")","v":"895 EUR"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!J513=\"\",\"\",ZOZNAM!J513),\"\")","v":"2019-12-12"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!K513=\"\",\"\",ZOZNAM!K513),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9082&EventID=140"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!L513=\"\",\"\",ZOZNAM!L513),\"\")","v":"On this course, participants will gain an advanced understanding and applied skills in qualitative content analysis (QCA), thematic analysis (TA), cross-case analysis (CCA) and grounded theory (GT) using NVivo.\nThe course addresses the gap in the literature and in scholarship training on how to conduct the above methods from the stage of data coding to presenting findings in a CAQDAS environment."},{"$f":"IF($A522<>\"\",IF(ZOZNAM!M513=\"\",\"\",ZOZNAM!M513),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A522<>\"\",IF(ZOZNAM!N513=\"\",\"\",ZOZNAM!N513),\"\")","v":"nie"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!O513=\"\",\"\",ZOZNAM!O513),\"\")","v":"áno"},{"$f":"IF($A522<>\"\",IF(ZOZNAM!P513=\"\",\"\",ZOZNAM!P513),\"\")","v":1.8},{"$f":"IF($A522<>\"\",IF(ZOZNAM!Q513=\"\",\"\",ZOZNAM!Q513),\"\")","v":""},{"$f":"IF($A522<>\"\",IF(ZOZNAM!R513=\"\",\"\",ZOZNAM!R513),\"\")","v":""},{"$f":"IF($A522<>\"\",IF(ZOZNAM!S513=\"\",\"\",ZOZNAM!S513),\"\")","v":""},{"$f":"IF($A522<>\"\",IF(ZOZNAM!T513=\"\",\"\",ZOZNAM!T513),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C514)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C514)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C514)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C514)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C514)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C514)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L514)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L514)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L514)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L514)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L514)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L514)),FALSE))),ZOZNAM!G514>=$C$9),ZOZNAM!A514,\"\")","v":"EC237"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!B514=\"\",\"\",ZOZNAM!B514),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!C514=\"\",\"\",ZOZNAM!C514),\"\")","v":"Advanced Process-tracing Workshop"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!D514=\"\",\"\",ZOZNAM!D514),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!E514=\"\",\"\",ZOZNAM!E514),\"\")","v":5},{"$f":"IF($A523<>\"\",IF(ZOZNAM!F514=\"\",\"\",ZOZNAM!F514),\"\")","v":5},{"$f":"IF($A523<>\"\",IF(ZOZNAM!G514=\"\",\"\",ZOZNAM!G514),\"\")","v":"2020-02-17"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!H514=\"\",\"\",ZOZNAM!H514),\"\")","v":"2020-02-21"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!I514=\"\",\"\",ZOZNAM!I514),\"\")","v":"1 495 EUR"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!J514=\"\",\"\",ZOZNAM!J514),\"\")","v":"2019-12-12"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!K514=\"\",\"\",ZOZNAM!K514),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9069&EventID=140"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!L514=\"\",\"\",ZOZNAM!L514),\"\")","v":"This hands-on course gives the methodological tools to refine use of process-tracing methods in own substantive research. It will also enable to embed process-tracing case studies in mixed-methods research design. \nStudents will discuss aspects of participants' projects, including theories of causal mechanisms and how we can develop testable predictions about evidence that the activities associated with parts of mechanisms might leave in a given case."},{"$f":"IF($A523<>\"\",IF(ZOZNAM!M514=\"\",\"\",ZOZNAM!M514),\"\")","v":"09:00–12:30 and 14:00–16:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 4 kredity."},{"$f":"IF($A523<>\"\",IF(ZOZNAM!N514=\"\",\"\",ZOZNAM!N514),\"\")","v":"nie"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!O514=\"\",\"\",ZOZNAM!O514),\"\")","v":"áno"},{"$f":"IF($A523<>\"\",IF(ZOZNAM!P514=\"\",\"\",ZOZNAM!P514),\"\")","v":1.8},{"$f":"IF($A523<>\"\",IF(ZOZNAM!Q514=\"\",\"\",ZOZNAM!Q514),\"\")","v":""},{"$f":"IF($A523<>\"\",IF(ZOZNAM!R514=\"\",\"\",ZOZNAM!R514),\"\")","v":""},{"$f":"IF($A523<>\"\",IF(ZOZNAM!S514=\"\",\"\",ZOZNAM!S514),\"\")","v":""},{"$f":"IF($A523<>\"\",IF(ZOZNAM!T514=\"\",\"\",ZOZNAM!T514),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C515)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C515)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C515)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C515)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C515)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C515)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L515)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L515)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L515)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L515)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L515)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L515)),FALSE))),ZOZNAM!G515>=$C$9),ZOZNAM!A515,\"\")","v":"EC238"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!B515=\"\",\"\",ZOZNAM!B515),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!C515=\"\",\"\",ZOZNAM!C515),\"\")","v":"Advanced Topics in Set-Theoretic Methods and QCA"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!D515=\"\",\"\",ZOZNAM!D515),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!E515=\"\",\"\",ZOZNAM!E515),\"\")","v":5},{"$f":"IF($A524<>\"\",IF(ZOZNAM!F515=\"\",\"\",ZOZNAM!F515),\"\")","v":5},{"$f":"IF($A524<>\"\",IF(ZOZNAM!G515=\"\",\"\",ZOZNAM!G515),\"\")","v":"2020-02-17"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!H515=\"\",\"\",ZOZNAM!H515),\"\")","v":"2020-02-21"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!I515=\"\",\"\",ZOZNAM!I515),\"\")","v":"895 EUR"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!J515=\"\",\"\",ZOZNAM!J515),\"\")","v":"2019-12-12"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!K515=\"\",\"\",ZOZNAM!K515),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9109&EventID=140"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!L515=\"\",\"\",ZOZNAM!L515),\"\")","v":"This course addresses advanced issues that arise if and when scholars embrace notions of sets and their relations. While it is a course about set-theoretic methods writ large, most of the time, we will discuss issues specific to QCA.\nIn this course, we discuss the issues raised by theses critiques, and go beyond them to explore the hitherto under-used potentials of set-theoretic methods.\nMore emphasis is put on topics:\nset-theoretic multi-method research\nrobustness and sensitivity\nset-theoretic theory evaluation\nenhanced Standard Analysis\ndata structures and set-theoretic methods, including temporal ordering and two-step QCA\nmodel ambiguity\nmulti-value QCA.\n\n"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!M515=\"\",\"\",ZOZNAM!M515),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A524<>\"\",IF(ZOZNAM!N515=\"\",\"\",ZOZNAM!N515),\"\")","v":"nie"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!O515=\"\",\"\",ZOZNAM!O515),\"\")","v":"áno"},{"$f":"IF($A524<>\"\",IF(ZOZNAM!P515=\"\",\"\",ZOZNAM!P515),\"\")","v":1.8},{"$f":"IF($A524<>\"\",IF(ZOZNAM!Q515=\"\",\"\",ZOZNAM!Q515),\"\")","v":""},{"$f":"IF($A524<>\"\",IF(ZOZNAM!R515=\"\",\"\",ZOZNAM!R515),\"\")","v":""},{"$f":"IF($A524<>\"\",IF(ZOZNAM!S515=\"\",\"\",ZOZNAM!S515),\"\")","v":""},{"$f":"IF($A524<>\"\",IF(ZOZNAM!T515=\"\",\"\",ZOZNAM!T515),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C516)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C516)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C516)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C516)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C516)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C516)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L516)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L516)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L516)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L516)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L516)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L516)),FALSE))),ZOZNAM!G516>=$C$9),ZOZNAM!A516,\"\")","v":"EC239"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!B516=\"\",\"\",ZOZNAM!B516),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!C516=\"\",\"\",ZOZNAM!C516),\"\")","v":"Advanced Multi-Method Research"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!D516=\"\",\"\",ZOZNAM!D516),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!E516=\"\",\"\",ZOZNAM!E516),\"\")","v":5},{"$f":"IF($A525<>\"\",IF(ZOZNAM!F516=\"\",\"\",ZOZNAM!F516),\"\")","v":5},{"$f":"IF($A525<>\"\",IF(ZOZNAM!G516=\"\",\"\",ZOZNAM!G516),\"\")","v":"2020-02-17"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!H516=\"\",\"\",ZOZNAM!H516),\"\")","v":"2020-02-21"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!I516=\"\",\"\",ZOZNAM!I516),\"\")","v":"895 EUR"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!J516=\"\",\"\",ZOZNAM!J516),\"\")","v":"2019-12-12"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!K516=\"\",\"\",ZOZNAM!K516),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9101&EventID=140"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!L516=\"\",\"\",ZOZNAM!L516),\"\")","v":"This course deals with mixed-methods / multimethod research (MMR) in the social sciences. To accommodate participants’ projects, it aims to reflect the diversity of MMR studies in the discipline.\nPArticipants will discuss the broader understanding of combining qualitative and quantitative methods and the more focused approach, linking case studies and process tracing to a large-n method such as Qualitative Comparative Analysis (QCA) or regression analysis. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.\nThe goal of the course is to understand the different varieties in which MMR can be done. \nTopics include concepts in the qualitative and quantitative analysis, case selection for qualitative research, and the compatibility of theoretical expectations and inferences on causal effects and causal mechanisms. Method-centred discussions are illustrated with examples from different fields of political science."},{"$f":"IF($A525<>\"\",IF(ZOZNAM!M516=\"\",\"\",ZOZNAM!M516),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A525<>\"\",IF(ZOZNAM!N516=\"\",\"\",ZOZNAM!N516),\"\")","v":"nie"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!O516=\"\",\"\",ZOZNAM!O516),\"\")","v":"áno"},{"$f":"IF($A525<>\"\",IF(ZOZNAM!P516=\"\",\"\",ZOZNAM!P516),\"\")","v":1.8},{"$f":"IF($A525<>\"\",IF(ZOZNAM!Q516=\"\",\"\",ZOZNAM!Q516),\"\")","v":""},{"$f":"IF($A525<>\"\",IF(ZOZNAM!R516=\"\",\"\",ZOZNAM!R516),\"\")","v":""},{"$f":"IF($A525<>\"\",IF(ZOZNAM!S516=\"\",\"\",ZOZNAM!S516),\"\")","v":""},{"$f":"IF($A525<>\"\",IF(ZOZNAM!T516=\"\",\"\",ZOZNAM!T516),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C517)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C517)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C517)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C517)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C517)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C517)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L517)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L517)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L517)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L517)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L517)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L517)),FALSE))),ZOZNAM!G517>=$C$9),ZOZNAM!A517,\"\")","v":"EC240"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!B517=\"\",\"\",ZOZNAM!B517),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!C517=\"\",\"\",ZOZNAM!C517),\"\")","v":"Logistic Regression and General Linear Models"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!D517=\"\",\"\",ZOZNAM!D517),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!E517=\"\",\"\",ZOZNAM!E517),\"\")","v":5},{"$f":"IF($A526<>\"\",IF(ZOZNAM!F517=\"\",\"\",ZOZNAM!F517),\"\")","v":5},{"$f":"IF($A526<>\"\",IF(ZOZNAM!G517=\"\",\"\",ZOZNAM!G517),\"\")","v":"2020-02-17"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!H517=\"\",\"\",ZOZNAM!H517),\"\")","v":"2020-02-21"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!I517=\"\",\"\",ZOZNAM!I517),\"\")","v":"895 EUR"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!J517=\"\",\"\",ZOZNAM!J517),\"\")","v":"2019-12-12"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!K517=\"\",\"\",ZOZNAM!K517),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9077&EventID=140"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!L517=\"\",\"\",ZOZNAM!L517),\"\")","v":"This course is an introduction to General Linear Models (GLMs). Participants will learn how to run a regression model when the dependent variable is not a continuous numerical one.\nThis course will cover a broad family of GLMs, including binary, multinomial, ordered, and conditional logistic regression models, as well as models designed for count data (Poisson regression and negative binomial models).\nStudents will learn practical skills related to running GLMs, including proper interpretation of the regression outcome and presentation of model results in the form of graphs and tables. "},{"$f":"IF($A526<>\"\",IF(ZOZNAM!M517=\"\",\"\",ZOZNAM!M517),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A526<>\"\",IF(ZOZNAM!N517=\"\",\"\",ZOZNAM!N517),\"\")","v":"nie"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!O517=\"\",\"\",ZOZNAM!O517),\"\")","v":"áno"},{"$f":"IF($A526<>\"\",IF(ZOZNAM!P517=\"\",\"\",ZOZNAM!P517),\"\")","v":1.8},{"$f":"IF($A526<>\"\",IF(ZOZNAM!Q517=\"\",\"\",ZOZNAM!Q517),\"\")","v":""},{"$f":"IF($A526<>\"\",IF(ZOZNAM!R517=\"\",\"\",ZOZNAM!R517),\"\")","v":""},{"$f":"IF($A526<>\"\",IF(ZOZNAM!S517=\"\",\"\",ZOZNAM!S517),\"\")","v":""},{"$f":"IF($A526<>\"\",IF(ZOZNAM!T517=\"\",\"\",ZOZNAM!T517),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C518)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C518)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C518)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C518)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C518)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C518)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L518)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L518)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L518)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L518)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L518)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L518)),FALSE))),ZOZNAM!G518>=$C$9),ZOZNAM!A518,\"\")","v":"EC241"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!B518=\"\",\"\",ZOZNAM!B518),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!C518=\"\",\"\",ZOZNAM!C518),\"\")","v":"Conditional Logit Models"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!D518=\"\",\"\",ZOZNAM!D518),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!E518=\"\",\"\",ZOZNAM!E518),\"\")","v":5},{"$f":"IF($A527<>\"\",IF(ZOZNAM!F518=\"\",\"\",ZOZNAM!F518),\"\")","v":5},{"$f":"IF($A527<>\"\",IF(ZOZNAM!G518=\"\",\"\",ZOZNAM!G518),\"\")","v":"2020-02-17"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!H518=\"\",\"\",ZOZNAM!H518),\"\")","v":"2020-02-21"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!I518=\"\",\"\",ZOZNAM!I518),\"\")","v":"895 EUR"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!J518=\"\",\"\",ZOZNAM!J518),\"\")","v":"2019-12-12"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!K518=\"\",\"\",ZOZNAM!K518),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9133&EventID=140"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!L518=\"\",\"\",ZOZNAM!L518),\"\")","v":""},{"$f":"IF($A527<>\"\",IF(ZOZNAM!M518=\"\",\"\",ZOZNAM!M518),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A527<>\"\",IF(ZOZNAM!N518=\"\",\"\",ZOZNAM!N518),\"\")","v":"nie"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!O518=\"\",\"\",ZOZNAM!O518),\"\")","v":"áno"},{"$f":"IF($A527<>\"\",IF(ZOZNAM!P518=\"\",\"\",ZOZNAM!P518),\"\")","v":1.8},{"$f":"IF($A527<>\"\",IF(ZOZNAM!Q518=\"\",\"\",ZOZNAM!Q518),\"\")","v":""},{"$f":"IF($A527<>\"\",IF(ZOZNAM!R518=\"\",\"\",ZOZNAM!R518),\"\")","v":""},{"$f":"IF($A527<>\"\",IF(ZOZNAM!S518=\"\",\"\",ZOZNAM!S518),\"\")","v":""},{"$f":"IF($A527<>\"\",IF(ZOZNAM!T518=\"\",\"\",ZOZNAM!T518),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C519)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C519)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C519)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C519)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C519)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C519)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L519)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L519)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L519)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L519)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L519)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L519)),FALSE))),ZOZNAM!G519>=$C$9),ZOZNAM!A519,\"\")","v":"EC242"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!B519=\"\",\"\",ZOZNAM!B519),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!C519=\"\",\"\",ZOZNAM!C519),\"\")","v":"Introduction to Bayesian Inference"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!D519=\"\",\"\",ZOZNAM!D519),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!E519=\"\",\"\",ZOZNAM!E519),\"\")","v":5},{"$f":"IF($A528<>\"\",IF(ZOZNAM!F519=\"\",\"\",ZOZNAM!F519),\"\")","v":5},{"$f":"IF($A528<>\"\",IF(ZOZNAM!G519=\"\",\"\",ZOZNAM!G519),\"\")","v":"2020-02-17"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!H519=\"\",\"\",ZOZNAM!H519),\"\")","v":"2020-02-21"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!I519=\"\",\"\",ZOZNAM!I519),\"\")","v":"895 EUR"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!J519=\"\",\"\",ZOZNAM!J519),\"\")","v":"2019-12-12"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!K519=\"\",\"\",ZOZNAM!K519),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9079&EventID=140"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!L519=\"\",\"\",ZOZNAM!L519),\"\")","v":"On this course, participants will learn a conceptual background to Bayesian inference, how to read the literature using Bayesian statistics, and how to interpret the results,an introduction to a software for Bayesian analysis, with political science examples.\nThe course consists of lectures (morning) and lab sessions (afternoon). The lectures deal with relevant background knowledge and specific skills for Bayesian analysis. Hence, participants will also learn basic JAGS and Stan, which are necessary for Bayesian estimation. \nThe course is focused on topics:\nestimation of linear regression models using conjugacy and Markov Chain Monte Carlo (MCMC);\nestimation of various regression models (binary logit/probit, poisson, robust regression, etc) and further topics (model selection and check, data augmentation, etc) in Bayesian framework."},{"$f":"IF($A528<>\"\",IF(ZOZNAM!M519=\"\",\"\",ZOZNAM!M519),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A528<>\"\",IF(ZOZNAM!N519=\"\",\"\",ZOZNAM!N519),\"\")","v":"nie"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!O519=\"\",\"\",ZOZNAM!O519),\"\")","v":"áno"},{"$f":"IF($A528<>\"\",IF(ZOZNAM!P519=\"\",\"\",ZOZNAM!P519),\"\")","v":1.8},{"$f":"IF($A528<>\"\",IF(ZOZNAM!Q519=\"\",\"\",ZOZNAM!Q519),\"\")","v":""},{"$f":"IF($A528<>\"\",IF(ZOZNAM!R519=\"\",\"\",ZOZNAM!R519),\"\")","v":""},{"$f":"IF($A528<>\"\",IF(ZOZNAM!S519=\"\",\"\",ZOZNAM!S519),\"\")","v":""},{"$f":"IF($A528<>\"\",IF(ZOZNAM!T519=\"\",\"\",ZOZNAM!T519),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C520)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C520)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C520)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C520)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C520)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C520)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L520)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L520)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L520)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L520)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L520)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L520)),FALSE))),ZOZNAM!G520>=$C$9),ZOZNAM!A520,\"\")","v":"EC243"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!B520=\"\",\"\",ZOZNAM!B520),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!C520=\"\",\"\",ZOZNAM!C520),\"\")","v":"Panel Data Analysis"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!D520=\"\",\"\",ZOZNAM!D520),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!E520=\"\",\"\",ZOZNAM!E520),\"\")","v":5},{"$f":"IF($A529<>\"\",IF(ZOZNAM!F520=\"\",\"\",ZOZNAM!F520),\"\")","v":5},{"$f":"IF($A529<>\"\",IF(ZOZNAM!G520=\"\",\"\",ZOZNAM!G520),\"\")","v":"2020-02-17"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!H520=\"\",\"\",ZOZNAM!H520),\"\")","v":"2020-02-21"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!I520=\"\",\"\",ZOZNAM!I520),\"\")","v":"895 EUR"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!J520=\"\",\"\",ZOZNAM!J520),\"\")","v":"2019-12-12"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!K520=\"\",\"\",ZOZNAM!K520),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9080&EventID=140"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!L520=\"\",\"\",ZOZNAM!L520),\"\")","v":"This course presents different methods for analysing panel data, including:\nfixed-effects\nrandom effects\ndifference-in-differences\nage-period-cohort models\ngrowth curve models\nhybrid models.\nThis is an applied course; no mathematics is involved but the intuition behind the models will be emphasised. We will discuss real data examples using the German Socio-Economic Panel (SOEP) and Stata."},{"$f":"IF($A529<>\"\",IF(ZOZNAM!M520=\"\",\"\",ZOZNAM!M520),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A529<>\"\",IF(ZOZNAM!N520=\"\",\"\",ZOZNAM!N520),\"\")","v":"nie"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!O520=\"\",\"\",ZOZNAM!O520),\"\")","v":"áno"},{"$f":"IF($A529<>\"\",IF(ZOZNAM!P520=\"\",\"\",ZOZNAM!P520),\"\")","v":1.8},{"$f":"IF($A529<>\"\",IF(ZOZNAM!Q520=\"\",\"\",ZOZNAM!Q520),\"\")","v":""},{"$f":"IF($A529<>\"\",IF(ZOZNAM!R520=\"\",\"\",ZOZNAM!R520),\"\")","v":""},{"$f":"IF($A529<>\"\",IF(ZOZNAM!S520=\"\",\"\",ZOZNAM!S520),\"\")","v":""},{"$f":"IF($A529<>\"\",IF(ZOZNAM!T520=\"\",\"\",ZOZNAM!T520),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C521)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C521)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C521)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C521)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C521)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C521)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L521)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L521)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L521)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L521)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L521)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L521)),FALSE))),ZOZNAM!G521>=$C$9),ZOZNAM!A521,\"\")","v":"EC244"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!B521=\"\",\"\",ZOZNAM!B521),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!C521=\"\",\"\",ZOZNAM!C521),\"\")","v":"Methods of Modern Causal Analysis Based on Observational Data"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!D521=\"\",\"\",ZOZNAM!D521),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!E521=\"\",\"\",ZOZNAM!E521),\"\")","v":5},{"$f":"IF($A530<>\"\",IF(ZOZNAM!F521=\"\",\"\",ZOZNAM!F521),\"\")","v":5},{"$f":"IF($A530<>\"\",IF(ZOZNAM!G521=\"\",\"\",ZOZNAM!G521),\"\")","v":"2020-02-17"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!H521=\"\",\"\",ZOZNAM!H521),\"\")","v":"2020-02-21"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!I521=\"\",\"\",ZOZNAM!I521),\"\")","v":"895 EUR"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!J521=\"\",\"\",ZOZNAM!J521),\"\")","v":"2019-12-12"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!K521=\"\",\"\",ZOZNAM!K521),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9081&EventID=140"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!L521=\"\",\"\",ZOZNAM!L521),\"\")","v":"This course provides an introduction into new methods such as Propensity Score Matching (PSM), Instrument Variables (IV), and Difference-in-Differences (DID) approaches in cross-sectional and longitudinal designs.\nStudents will discuss empirical examples and apply methods in computer exercises using Stata and real-world data.\nEstimating causal effects is a central aim of quantitative empirical analysis in social sciences."},{"$f":"IF($A530<>\"\",IF(ZOZNAM!M521=\"\",\"\",ZOZNAM!M521),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A530<>\"\",IF(ZOZNAM!N521=\"\",\"\",ZOZNAM!N521),\"\")","v":"nie"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!O521=\"\",\"\",ZOZNAM!O521),\"\")","v":"áno"},{"$f":"IF($A530<>\"\",IF(ZOZNAM!P521=\"\",\"\",ZOZNAM!P521),\"\")","v":1.8},{"$f":"IF($A530<>\"\",IF(ZOZNAM!Q521=\"\",\"\",ZOZNAM!Q521),\"\")","v":""},{"$f":"IF($A530<>\"\",IF(ZOZNAM!R521=\"\",\"\",ZOZNAM!R521),\"\")","v":""},{"$f":"IF($A530<>\"\",IF(ZOZNAM!S521=\"\",\"\",ZOZNAM!S521),\"\")","v":""},{"$f":"IF($A530<>\"\",IF(ZOZNAM!T521=\"\",\"\",ZOZNAM!T521),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C522)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C522)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C522)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C522)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C522)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C522)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L522)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L522)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L522)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L522)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L522)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L522)),FALSE))),ZOZNAM!G522>=$C$9),ZOZNAM!A522,\"\")","v":"EC245"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!B522=\"\",\"\",ZOZNAM!B522),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!C522=\"\",\"\",ZOZNAM!C522),\"\")","v":"Multilevel Regression Modelling"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!D522=\"\",\"\",ZOZNAM!D522),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!E522=\"\",\"\",ZOZNAM!E522),\"\")","v":5},{"$f":"IF($A531<>\"\",IF(ZOZNAM!F522=\"\",\"\",ZOZNAM!F522),\"\")","v":5},{"$f":"IF($A531<>\"\",IF(ZOZNAM!G522=\"\",\"\",ZOZNAM!G522),\"\")","v":"2020-02-17"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!H522=\"\",\"\",ZOZNAM!H522),\"\")","v":"2020-02-21"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!I522=\"\",\"\",ZOZNAM!I522),\"\")","v":"895 EUR"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!J522=\"\",\"\",ZOZNAM!J522),\"\")","v":"2019-12-12"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!K522=\"\",\"\",ZOZNAM!K522),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9070&EventID=140"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!L522=\"\",\"\",ZOZNAM!L522),\"\")","v":"This course will teach a basic conceptual understanding of multilevel (a.k.a. hierarchical or mixed) modelling and its statistical foundations.\nYou will learn how to critically assess the appropriateness of such techniques in your own and other people’s research.\nIt will pay special attention to the translation of theoretical expectations into statistical models, the interpretation of results in multilevel analyses and the general use and misuse of multilevel models in the social sciences.\nThe course also arms students with the basic tools to run multilevel models in software such as R, Stata or SPSS. \nApplications will include models with continuous and limited dependent variables in hierarchical, longitudinal and cross-classified nesting situations."},{"$f":"IF($A531<>\"\",IF(ZOZNAM!M522=\"\",\"\",ZOZNAM!M522),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A531<>\"\",IF(ZOZNAM!N522=\"\",\"\",ZOZNAM!N522),\"\")","v":"nie"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!O522=\"\",\"\",ZOZNAM!O522),\"\")","v":"áno"},{"$f":"IF($A531<>\"\",IF(ZOZNAM!P522=\"\",\"\",ZOZNAM!P522),\"\")","v":1.8},{"$f":"IF($A531<>\"\",IF(ZOZNAM!Q522=\"\",\"\",ZOZNAM!Q522),\"\")","v":""},{"$f":"IF($A531<>\"\",IF(ZOZNAM!R522=\"\",\"\",ZOZNAM!R522),\"\")","v":""},{"$f":"IF($A531<>\"\",IF(ZOZNAM!S522=\"\",\"\",ZOZNAM!S522),\"\")","v":""},{"$f":"IF($A531<>\"\",IF(ZOZNAM!T522=\"\",\"\",ZOZNAM!T522),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C523)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C523)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C523)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C523)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C523)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C523)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L523)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L523)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L523)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L523)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L523)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L523)),FALSE))),ZOZNAM!G523>=$C$9),ZOZNAM!A523,\"\")","v":"EC246"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!B523=\"\",\"\",ZOZNAM!B523),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!C523=\"\",\"\",ZOZNAM!C523),\"\")","v":"Structural Equation Modelling (SEM) with R"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!D523=\"\",\"\",ZOZNAM!D523),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!E523=\"\",\"\",ZOZNAM!E523),\"\")","v":5},{"$f":"IF($A532<>\"\",IF(ZOZNAM!F523=\"\",\"\",ZOZNAM!F523),\"\")","v":5},{"$f":"IF($A532<>\"\",IF(ZOZNAM!G523=\"\",\"\",ZOZNAM!G523),\"\")","v":"2020-02-17"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!H523=\"\",\"\",ZOZNAM!H523),\"\")","v":"2020-02-21"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!I523=\"\",\"\",ZOZNAM!I523),\"\")","v":"895 EUR"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!J523=\"\",\"\",ZOZNAM!J523),\"\")","v":"2019-12-12"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!K523=\"\",\"\",ZOZNAM!K523),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9071&EventID=140"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!L523=\"\",\"\",ZOZNAM!L523),\"\")","v":"The course gives an introduction to theory and practice of Structural Equation Modelling (SEM).\nIt answers the question, why is it more beneficial to use SEM, compared to classical path models. It is shown, how the theoretical latent constructs (e.g. social and political attitudes, and values) can be measured and explained with their relationships with other variables. The course highlights the theoretically and empirically important aspects of model comparison between different groups (such as countries or different years in a longitudinal survey)."},{"$f":"IF($A532<>\"\",IF(ZOZNAM!M523=\"\",\"\",ZOZNAM!M523),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A532<>\"\",IF(ZOZNAM!N523=\"\",\"\",ZOZNAM!N523),\"\")","v":"nie"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!O523=\"\",\"\",ZOZNAM!O523),\"\")","v":"áno"},{"$f":"IF($A532<>\"\",IF(ZOZNAM!P523=\"\",\"\",ZOZNAM!P523),\"\")","v":1.8},{"$f":"IF($A532<>\"\",IF(ZOZNAM!Q523=\"\",\"\",ZOZNAM!Q523),\"\")","v":""},{"$f":"IF($A532<>\"\",IF(ZOZNAM!R523=\"\",\"\",ZOZNAM!R523),\"\")","v":""},{"$f":"IF($A532<>\"\",IF(ZOZNAM!S523=\"\",\"\",ZOZNAM!S523),\"\")","v":""},{"$f":"IF($A532<>\"\",IF(ZOZNAM!T523=\"\",\"\",ZOZNAM!T523),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C524)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C524)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C524)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C524)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C524)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C524)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L524)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L524)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L524)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L524)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L524)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L524)),FALSE))),ZOZNAM!G524>=$C$9),ZOZNAM!A524,\"\")","v":"EC247"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!B524=\"\",\"\",ZOZNAM!B524),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!C524=\"\",\"\",ZOZNAM!C524),\"\")","v":"Times Series Analysis"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!D524=\"\",\"\",ZOZNAM!D524),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!E524=\"\",\"\",ZOZNAM!E524),\"\")","v":5},{"$f":"IF($A533<>\"\",IF(ZOZNAM!F524=\"\",\"\",ZOZNAM!F524),\"\")","v":5},{"$f":"IF($A533<>\"\",IF(ZOZNAM!G524=\"\",\"\",ZOZNAM!G524),\"\")","v":"2020-02-17"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!H524=\"\",\"\",ZOZNAM!H524),\"\")","v":"2020-02-21"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!I524=\"\",\"\",ZOZNAM!I524),\"\")","v":"895 EUR"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!J524=\"\",\"\",ZOZNAM!J524),\"\")","v":"2019-12-12"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!K524=\"\",\"\",ZOZNAM!K524),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9067&EventID=140"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!L524=\"\",\"\",ZOZNAM!L524),\"\")","v":"This course is a comprehensive introduction to time series analysis with R. Students will gain an understanding of time series and learn how to meaningful inferences and forecasts from data collected over time.\nIt will successively introduce more complex aspects of statistical analysis. \nThe course takes a hands-on approach to teaching the logic of analysis and estimation. I will present examples of application of techniques to the actual data, and you will perform a variety of data analyses."},{"$f":"IF($A533<>\"\",IF(ZOZNAM!M524=\"\",\"\",ZOZNAM!M524),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A533<>\"\",IF(ZOZNAM!N524=\"\",\"\",ZOZNAM!N524),\"\")","v":"nie"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!O524=\"\",\"\",ZOZNAM!O524),\"\")","v":"áno"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!P524=\"\",\"\",ZOZNAM!P524),\"\")","v":1.8},{"$f":"IF($A533<>\"\",IF(ZOZNAM!Q524=\"\",\"\",ZOZNAM!Q524),\"\")","v":4},{"$f":"IF($A533<>\"\",IF(ZOZNAM!R524=\"\",\"\",ZOZNAM!R524),\"\")","v":1},{"$f":"IF($A533<>\"\",IF(ZOZNAM!S524=\"\",\"\",ZOZNAM!S524),\"\")","v":"Pokročilým"},{"$f":"IF($A533<>\"\",IF(ZOZNAM!T524=\"\",\"\",ZOZNAM!T524),\"\")","v":"Kurz nenaplnil očakávania účastníka. Pedagógovia ako odborníci získali nízke hodnotenie, účastník by uvítal viac sa držať študijných materiálov. "}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C525)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C525)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C525)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C525)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C525)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C525)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L525)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L525)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L525)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L525)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L525)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L525)),FALSE))),ZOZNAM!G525>=$C$9),ZOZNAM!A525,\"\")","v":"EC248"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!B525=\"\",\"\",ZOZNAM!B525),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!C525=\"\",\"\",ZOZNAM!C525),\"\")","v":"Event History and Survival Analysis"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!D525=\"\",\"\",ZOZNAM!D525),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!E525=\"\",\"\",ZOZNAM!E525),\"\")","v":5},{"$f":"IF($A534<>\"\",IF(ZOZNAM!F525=\"\",\"\",ZOZNAM!F525),\"\")","v":5},{"$f":"IF($A534<>\"\",IF(ZOZNAM!G525=\"\",\"\",ZOZNAM!G525),\"\")","v":"2020-02-17"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!H525=\"\",\"\",ZOZNAM!H525),\"\")","v":"2020-02-21"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!I525=\"\",\"\",ZOZNAM!I525),\"\")","v":"895 EUR"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!J525=\"\",\"\",ZOZNAM!J525),\"\")","v":"2019-12-12"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!K525=\"\",\"\",ZOZNAM!K525),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9089&EventID=140"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!L525=\"\",\"\",ZOZNAM!L525),\"\")","v":"In this course, participants will thoroughly study a situation when there is only one event per subject, but will also quickly review the extensions to a sufficient degree for them to be able to continue their work in the area. \nThe most distinctive feature of time to event data is that the event is often not observed at the time of analysis. Applying standard statistical methods to such data leads to severe bias or loss of information.\nSpecial methods are therefore needed to extract information. \n\nCourse will include practical examples, for which will be used the software package R. "},{"$f":"IF($A534<>\"\",IF(ZOZNAM!M525=\"\",\"\",ZOZNAM!M525),\"\")","v":"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A534<>\"\",IF(ZOZNAM!N525=\"\",\"\",ZOZNAM!N525),\"\")","v":"nie"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!O525=\"\",\"\",ZOZNAM!O525),\"\")","v":"áno"},{"$f":"IF($A534<>\"\",IF(ZOZNAM!P525=\"\",\"\",ZOZNAM!P525),\"\")","v":1.8},{"$f":"IF($A534<>\"\",IF(ZOZNAM!Q525=\"\",\"\",ZOZNAM!Q525),\"\")","v":""},{"$f":"IF($A534<>\"\",IF(ZOZNAM!R525=\"\",\"\",ZOZNAM!R525),\"\")","v":""},{"$f":"IF($A534<>\"\",IF(ZOZNAM!S525=\"\",\"\",ZOZNAM!S525),\"\")","v":""},{"$f":"IF($A534<>\"\",IF(ZOZNAM!T525=\"\",\"\",ZOZNAM!T525),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C526)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C526)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C526)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C526)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C526)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C526)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L526)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L526)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L526)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L526)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L526)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L526)),FALSE))),ZOZNAM!G526>=$C$9),ZOZNAM!A526,\"\")","v":"EC249"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!B526=\"\",\"\",ZOZNAM!B526),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!C526=\"\",\"\",ZOZNAM!C526),\"\")","v":"Introduction to Machine Learning for the Social Sciences"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!D526=\"\",\"\",ZOZNAM!D526),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!E526=\"\",\"\",ZOZNAM!E526),\"\")","v":5},{"$f":"IF($A535<>\"\",IF(ZOZNAM!F526=\"\",\"\",ZOZNAM!F526),\"\")","v":5},{"$f":"IF($A535<>\"\",IF(ZOZNAM!G526=\"\",\"\",ZOZNAM!G526),\"\")","v":"2020-02-17"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!H526=\"\",\"\",ZOZNAM!H526),\"\")","v":"2020-02-21"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!I526=\"\",\"\",ZOZNAM!I526),\"\")","v":"895 EUR"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!J526=\"\",\"\",ZOZNAM!J526),\"\")","v":"2019-12-12"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!K526=\"\",\"\",ZOZNAM!K526),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9105&EventID=140"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!L526=\"\",\"\",ZOZNAM!L526),\"\")","v":"In this course, participants will learn the fundamentals of machine learning as a data analysis approach, and will get an overview of the most common and versatile classes of ML algorithms in use today.\nBy the end of the course, they will be able to identify what kind of technique is most suitable for their research question and data, and how to design, test and interpret their models. They will also be equipped with sufficient basic knowledge to proceed independently for more advanced algorithms and problems."},{"$f":"IF($A535<>\"\",IF(ZOZNAM!M526=\"\",\"\",ZOZNAM!M526),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A535<>\"\",IF(ZOZNAM!N526=\"\",\"\",ZOZNAM!N526),\"\")","v":"nie"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!O526=\"\",\"\",ZOZNAM!O526),\"\")","v":"áno"},{"$f":"IF($A535<>\"\",IF(ZOZNAM!P526=\"\",\"\",ZOZNAM!P526),\"\")","v":1.8},{"$f":"IF($A535<>\"\",IF(ZOZNAM!Q526=\"\",\"\",ZOZNAM!Q526),\"\")","v":""},{"$f":"IF($A535<>\"\",IF(ZOZNAM!R526=\"\",\"\",ZOZNAM!R526),\"\")","v":""},{"$f":"IF($A535<>\"\",IF(ZOZNAM!S526=\"\",\"\",ZOZNAM!S526),\"\")","v":""},{"$f":"IF($A535<>\"\",IF(ZOZNAM!T526=\"\",\"\",ZOZNAM!T526),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C527)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C527)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C527)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C527)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C527)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C527)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L527)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L527)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L527)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L527)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L527)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L527)),FALSE))),ZOZNAM!G527>=$C$9),ZOZNAM!A527,\"\")","v":"EC250"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!B527=\"\",\"\",ZOZNAM!B527),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!C527=\"\",\"\",ZOZNAM!C527),\"\")","v":"Age Period Cohort Analysis"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!D527=\"\",\"\",ZOZNAM!D527),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!E527=\"\",\"\",ZOZNAM!E527),\"\")","v":5},{"$f":"IF($A536<>\"\",IF(ZOZNAM!F527=\"\",\"\",ZOZNAM!F527),\"\")","v":5},{"$f":"IF($A536<>\"\",IF(ZOZNAM!G527=\"\",\"\",ZOZNAM!G527),\"\")","v":"2020-02-17"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!H527=\"\",\"\",ZOZNAM!H527),\"\")","v":"2020-02-21"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!I527=\"\",\"\",ZOZNAM!I527),\"\")","v":"895 EUR"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!J527=\"\",\"\",ZOZNAM!J527),\"\")","v":"2019-12-12"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!K527=\"\",\"\",ZOZNAM!K527),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9106&EventID=140"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!L527=\"\",\"\",ZOZNAM!L527),\"\")","v":"This course is designed to give you a deep knowledge of Age-Period-Cohort (APC) Models. These are models that help social scientists examine whether time-varying changes in social and political phenomena are due to the biological and social process of ageing (age effects), social or economic factors, for example an economic crisis (period effects) or the unique experience of a group, for example children socialised under an authoritarian regime (cohort effects).\n\nWhat makes the analysis of those effects interesting and methodologically challenging is the so called 'identification problem'; The age-period-cohort conundrum refers to the problem of separating the effects of age, periods and cohorts.\n\nBy the end of the course you will understand the identification problem in the study of ageing and cohort analysis and the different methods developed to overcome the identification problem. You will also be familiar with the limitations of these methods and know which method to use, depending on your own research question.\n\nWe will pay special attention is to the Hierarchical Age-Period-Cohort-Model (HAPC).\n\nIn addition to the methods behind the study of APC models, you will also learn how to conduct your own APC models in R.\n\nThe overall goal of the course is to give you a general overview of APC models, familiarise you with the different methods of studying age-period-cohort effects, and teach you how to produce and interpret your own findings.\n\nLong Course Outline\nThe aim of this course is to introduce you to the major methodological tools related to the study of ageing and cohort analysis.\n\nIn times of major political events, studies of Age-Period-Cohort are highly significant; APC models help us understand time-varying social and political changes, and to identify the trends and dynamics of those trends among the population.\n\nThis course will show you how to conduct such analysis. I will start by explaining the importance of studying aging, cohorts and time, and the importance of the identification problem.\n\nThen I introduce the key methods and models in the study of APC models and the newest developments in the study of Age-Period-Cohort models.\n\nBy the end of this course, you will understand the key concepts and theories behind APC models, know how to apply different statistical methods related to the study of Age-Period-Cohorts and to produce your own findings.\n\nI will introduce the concept of priors and Bayesian statistical inference for APC models, though we will not cover those topics extensively.\n\nDay 1\nI introduce you to the study of Age-Period-Cohorts and explain why APC models are important for the study of social change. We discuss the identification problem in the study of Age-Period-Cohort and how different statistical methods can help us overcome this problem. In our first lab session you will learn how to get your dataset ready for APC analyses; an important first step in the study of APC models.\n\nDay 2\nWe examine the first generation of models in the study of APC models. These include the use of age-by-time period contingency tables, the use of proxy variables in the study of APC models, and the coefficient constraint approach. We’ll practice all these methods in the lab session.\n\nDay 3\nI introduce the Intrinsic Estimator, a method to estimate and capture the effects of age, period, and cohorts. We discuss the advantages of this method the statistical model, and criticism of it. During the lab session, we will practice on Intrinsic Estimator models.\n\nDay 4\nI introduce the Hierarchical APC Model. Hierarchical modelling is considered the most up-to-date method in the study of the APC models. These models take into consideration the multilevel structure of the data; individuals are nested in a cross-classification of periods and birth cohorts. In the lab we will learn how to run a Hierarchical APC Model.\n\nDay 5\nWe talk about the use of priors (Bayesian statistical inference) in estimating APC effects and about non-parametric Generalised Additive Models (GAMs). GAMs allow researchers to plot nonparametric smoothed curves for the effect of year or of the cohort. This helps us observe differences among the estimated effects, and differences of those effects among different countries."},{"$f":"IF($A536<>\"\",IF(ZOZNAM!M527=\"\",\"\",ZOZNAM!M527),\"\")","v":"14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity."},{"$f":"IF($A536<>\"\",IF(ZOZNAM!N527=\"\",\"\",ZOZNAM!N527),\"\")","v":"nie"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!O527=\"\",\"\",ZOZNAM!O527),\"\")","v":"áno"},{"$f":"IF($A536<>\"\",IF(ZOZNAM!P527=\"\",\"\",ZOZNAM!P527),\"\")","v":1.8},{"$f":"IF($A536<>\"\",IF(ZOZNAM!Q527=\"\",\"\",ZOZNAM!Q527),\"\")","v":""},{"$f":"IF($A536<>\"\",IF(ZOZNAM!R527=\"\",\"\",ZOZNAM!R527),\"\")","v":""},{"$f":"IF($A536<>\"\",IF(ZOZNAM!S527=\"\",\"\",ZOZNAM!S527),\"\")","v":""},{"$f":"IF($A536<>\"\",IF(ZOZNAM!T527=\"\",\"\",ZOZNAM!T527),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C528)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C528)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C528)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C528)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C528)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C528)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L528)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L528)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L528)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L528)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L528)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L528)),FALSE))),ZOZNAM!G528>=$C$9),ZOZNAM!A528,\"\")","v":"EC251"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!B528=\"\",\"\",ZOZNAM!B528),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!C528=\"\",\"\",ZOZNAM!C528),\"\")","v":"Maths Refresher"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!D528=\"\",\"\",ZOZNAM!D528),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!E528=\"\",\"\",ZOZNAM!E528),\"\")","v":5},{"$f":"IF($A537<>\"\",IF(ZOZNAM!F528=\"\",\"\",ZOZNAM!F528),\"\")","v":5},{"$f":"IF($A537<>\"\",IF(ZOZNAM!G528=\"\",\"\",ZOZNAM!G528),\"\")","v":"2020-02-17"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!H528=\"\",\"\",ZOZNAM!H528),\"\")","v":"2020-02-21"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!I528=\"\",\"\",ZOZNAM!I528),\"\")","v":"0 EUR"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!J528=\"\",\"\",ZOZNAM!J528),\"\")","v":"2019-12-12"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!K528=\"\",\"\",ZOZNAM!K528),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9110&EventID=140"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!L528=\"\",\"\",ZOZNAM!L528),\"\")","v":"Quick maths refresher focusing on topics essential to better understand analytical tools in modern social scientific research.\n\nSuch tools include statistical models (e.g. linear regression, factor analysis), estimation techniques (e.g. least squares, maximum likelihood), measurement, formal modelling, and all kinds of inferences.\n\nThe course deals with:\n\nlogic\nalgebra\ncalculus\nmatrix\nprobability\nLogic is essential for sound inferences as well as for theory formation. Algebra, calculus and matrices are essential for formal modelling and for better understanding statistical models and estimation techniques. Probability playes a crucial role in statistical models as well as measurement of theoretical concepts.\n\nWe won't be able to discuss individual topics thoroughly in such a short space of time. Instead, I will emphasise the relationship between mathematics and individual aspects of social science research."},{"$f":"IF($A537<>\"\",IF(ZOZNAM!M528=\"\",\"\",ZOZNAM!M528),\"\")","v":"08:00 - 08:50 each day. This is a free supplementary course. You must register and pay for a one-week course in order to take it. To book, please check the box when registering."},{"$f":"IF($A537<>\"\",IF(ZOZNAM!N528=\"\",\"\",ZOZNAM!N528),\"\")","v":"nie"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!O528=\"\",\"\",ZOZNAM!O528),\"\")","v":"nie"},{"$f":"IF($A537<>\"\",IF(ZOZNAM!P528=\"\",\"\",ZOZNAM!P528),\"\")","v":1.8},{"$f":"IF($A537<>\"\",IF(ZOZNAM!Q528=\"\",\"\",ZOZNAM!Q528),\"\")","v":""},{"$f":"IF($A537<>\"\",IF(ZOZNAM!R528=\"\",\"\",ZOZNAM!R528),\"\")","v":""},{"$f":"IF($A537<>\"\",IF(ZOZNAM!S528=\"\",\"\",ZOZNAM!S528),\"\")","v":""},{"$f":"IF($A537<>\"\",IF(ZOZNAM!T528=\"\",\"\",ZOZNAM!T528),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C529)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C529)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C529)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C529)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C529)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C529)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L529)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L529)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L529)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L529)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L529)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L529)),FALSE))),ZOZNAM!G529>=$C$9),ZOZNAM!A529,\"\")","v":"EC252"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!B529=\"\",\"\",ZOZNAM!B529),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!C529=\"\",\"\",ZOZNAM!C529),\"\")","v":"Visualisation of Information"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!D529=\"\",\"\",ZOZNAM!D529),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!E529=\"\",\"\",ZOZNAM!E529),\"\")","v":5},{"$f":"IF($A538<>\"\",IF(ZOZNAM!F529=\"\",\"\",ZOZNAM!F529),\"\")","v":5},{"$f":"IF($A538<>\"\",IF(ZOZNAM!G529=\"\",\"\",ZOZNAM!G529),\"\")","v":"2020-02-17"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!H529=\"\",\"\",ZOZNAM!H529),\"\")","v":"2020-02-21"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!I529=\"\",\"\",ZOZNAM!I529),\"\")","v":"0 EUR"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!J529=\"\",\"\",ZOZNAM!J529),\"\")","v":"2019-12-12"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!K529=\"\",\"\",ZOZNAM!K529),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9134&EventID=140"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!L529=\"\",\"\",ZOZNAM!L529),\"\")","v":"Being able to convey data, in whatever form, and the results of your analyses visually ensures that your message gets to your audience as effectively as possible. And having the knowledge to read visualisations quickly and be able to detect either intended or unintended distortions is a part of general scientific literacy. \n\nThis short course seeks to give you a basis for both – an understanding of what can be visualised and how, and a critical eye on what is out there.\n\nThe course will not focus on technical skills, although short materials will be provided (because as practice has shown again and again, technical skills do not prevent one from making an ugly or dishonest graph), but rather on the more general principles that are behind good information visualisation.\n\nLong Course Outline\nOur eyes can help us understand, but also to misunderstand the world. They do not reflect the world as it is, but rather create a mental representation of it with gaps and biases. This course thus begins with a session where we focus on how some of our cognitive mechanisms can lead us astray and how that informs us about some of the basic principles that should be followed in data visualisation. \n\nEach day aims to give you an overview of one piece of the puzzle, with examples of good and bad practices, as well as some technical implementation along the way. \n\nDay 1\nWe look at some of our built-in cognitive mechanisms and how they influence our perceptions. Some colours, forms and shapes are easier to perceive and to correctly evaluate. We should do a favour to our audience and use them. \n\nDay 2\nWe go to the opposite extreme by focussing on what not to do – visualisations that are bad in style and taste as well as ones which out of ignorance or malice deceive the intended audience. If you know how to lie with statistics, then you also know how to avoid lying by accident. \n\nDay 3\nWe get a bit more specific and try to think of what types of data and what types of variables are out there and what kinds of plots we can make either to most effectively show a single variable or several variables together. \n\nDay 4\nWe focus on statistical models and their visualisation. A regression table is something that even (or especially) some seasoned social scientists cannot fully interpret, but a well designed and presented visualisation of model results is something that almost everybody can understand. And if you are not going to make them yourself, then you at least will know what you see when you come across them in a text. \n\nDay 5\nWe spend this day on the border between the academic and the non-academic, where the visualisation of information meets art. We will go over examples of modern and classic complex data visualisation and discuss, and focus on some aspects of what make them so great."},{"$f":"IF($A538<>\"\",IF(ZOZNAM!M529=\"\",\"\",ZOZNAM!M529),\"\")","v":"08:00 - 08:50 each day. This is a free supplementary course. You must register and pay for a one-week course in order to take it. To book, please check the box when registering."},{"$f":"IF($A538<>\"\",IF(ZOZNAM!N529=\"\",\"\",ZOZNAM!N529),\"\")","v":"nie"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!O529=\"\",\"\",ZOZNAM!O529),\"\")","v":"nie"},{"$f":"IF($A538<>\"\",IF(ZOZNAM!P529=\"\",\"\",ZOZNAM!P529),\"\")","v":1.8},{"$f":"IF($A538<>\"\",IF(ZOZNAM!Q529=\"\",\"\",ZOZNAM!Q529),\"\")","v":""},{"$f":"IF($A538<>\"\",IF(ZOZNAM!R529=\"\",\"\",ZOZNAM!R529),\"\")","v":""},{"$f":"IF($A538<>\"\",IF(ZOZNAM!S529=\"\",\"\",ZOZNAM!S529),\"\")","v":""},{"$f":"IF($A538<>\"\",IF(ZOZNAM!T529=\"\",\"\",ZOZNAM!T529),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C530)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C530)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C530)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C530)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C530)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C530)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L530)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L530)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L530)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L530)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L530)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L530)),FALSE))),ZOZNAM!G530>=$C$9),ZOZNAM!A530,\"\")","v":"EC253"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!B530=\"\",\"\",ZOZNAM!B530),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!C530=\"\",\"\",ZOZNAM!C530),\"\")","v":"Philosophy and Methodology of the Social Sciences"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!D530=\"\",\"\",ZOZNAM!D530),\"\")","v":"Bamberg, Nemecko"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!E530=\"\",\"\",ZOZNAM!E530),\"\")","v":5},{"$f":"IF($A539<>\"\",IF(ZOZNAM!F530=\"\",\"\",ZOZNAM!F530),\"\")","v":5},{"$f":"IF($A539<>\"\",IF(ZOZNAM!G530=\"\",\"\",ZOZNAM!G530),\"\")","v":"2020-02-17"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!H530=\"\",\"\",ZOZNAM!H530),\"\")","v":"2020-02-21"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!I530=\"\",\"\",ZOZNAM!I530),\"\")","v":"0 EUR"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!J530=\"\",\"\",ZOZNAM!J530),\"\")","v":"2019-12-12"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!K530=\"\",\"\",ZOZNAM!K530),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9073&EventID=140"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!L530=\"\",\"\",ZOZNAM!L530),\"\")","v":"Why should political scientists bother to engage with fundamental issues in philosophy of science and methodology?\nShould we not leave that to specialists, in particular philosophers of science themselves?\n\nTo answer in the negative and to demonstrate the value of both for the study of politics, this short course aims to introduce and discuss core themes in philosophy of science so that it becomes apparent how they are very much at play in everyday research practice.\n\nLong Course Outline\nThis course is a broad survey of epistemological, ontological, and methodological issues relevant to knowledge production in the social sciences. The course has three overlapping objectives:\n\nTo provide you with a grounding in these issues as they are conceptualised and debated by philosophers, social theorists, and intellectuals more generally\nTo introduce some of the ways in which these issues have been incorporated (all too often incompletely or inaccurately) into the social sciences\nTo promote reflection on how these issues relate to your own empirical research\nThis is neither a technical research design nor a proposal writing class. As we proceed through the course, however, you should come to appreciate the consequences of philosophical debates for your own research practice. You are encouraged to approach this course as an opportunity to think critically, creatively, and expansively about the status of social scientific knowledge, both that which you have produced and/or will produce, and that produced by others.\n\nThe 'science question' rests more heavily on the social than the natural sciences, for the simple reason that the successes of the natural sciences in enhancing the human ability to control and manipulate the physical world offer an effective rejoinder to scepticism regarding the scientific status of fields such as physics and biology. The social sciences have long laboured in the shadow of these successes. One response has been to try to model the social sciences on one or another of the natural sciences, or more specifically, on one or another philosophical account of knowledge production in those sciences. This naturalism forms one of the recurrent moves in the philosophy of the social sciences. We will engage it, both in its incarnation in the Logical Positivism of the Vienna Circle, and in the more widespread embrace of falsification as a demarcation criterion for science. Problems generated by the emphasis on law-like generalisations in these naturalistic approaches to social science subsequently informed both the reformulated naturalism of critical realism, and the rejection of naturalism by followers of classical sociologists like Max Weber. Finally, we consider the tradition of critical theory with its commitment to an emancipatory form of knowledge production.\n\nWhile not an exhaustive survey of issues in the philosophy of the social sciences, the course offers an opportunity to explore perennial issues of great relevance for the conduct of social science research, the methodological training of new social scientists, and the aspirations of many social scientists to move from the commonplace that our work somehow can make a difference to a reflexive awareness of the politics of social research. The course should thus serve as a solid foundation for subsequent reading and reflection.\n\nThe course will be organised into three sessions, each of which combines a discussion of core themes at the intersection of philosophy of science, methodology, and political science with an invitation to reflect on how these core themes play out in your own research."},{"$f":"IF($A539<>\"\",IF(ZOZNAM!M530=\"\",\"\",ZOZNAM!M530),\"\")","v":"08:00 - 08:50 each day. This is a free supplementary course. You must register and pay for a one-week course in order to take it. To book, please check the box when registering."},{"$f":"IF($A539<>\"\",IF(ZOZNAM!N530=\"\",\"\",ZOZNAM!N530),\"\")","v":"nie"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!O530=\"\",\"\",ZOZNAM!O530),\"\")","v":"nie"},{"$f":"IF($A539<>\"\",IF(ZOZNAM!P530=\"\",\"\",ZOZNAM!P530),\"\")","v":1.8},{"$f":"IF($A539<>\"\",IF(ZOZNAM!Q530=\"\",\"\",ZOZNAM!Q530),\"\")","v":""},{"$f":"IF($A539<>\"\",IF(ZOZNAM!R530=\"\",\"\",ZOZNAM!R530),\"\")","v":""},{"$f":"IF($A539<>\"\",IF(ZOZNAM!S530=\"\",\"\",ZOZNAM!S530),\"\")","v":""},{"$f":"IF($A539<>\"\",IF(ZOZNAM!T530=\"\",\"\",ZOZNAM!T530),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C531)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C531)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C531)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C531)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C531)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C531)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L531)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L531)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L531)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L531)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L531)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L531)),FALSE))),ZOZNAM!G531>=$C$9),ZOZNAM!A531,\"\")","v":"UT320"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!B531=\"\",\"\",ZOZNAM!B531),\"\")","v":"Utrecht University"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!C531=\"\",\"\",ZOZNAM!C531),\"\")","v":"Data Science: Analysis"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!D531=\"\",\"\",ZOZNAM!D531),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!E531=\"\",\"\",ZOZNAM!E531),\"\")","v":5},{"$f":"IF($A540<>\"\",IF(ZOZNAM!F531=\"\",\"\",ZOZNAM!F531),\"\")","v":5},{"$f":"IF($A540<>\"\",IF(ZOZNAM!G531=\"\",\"\",ZOZNAM!G531),\"\")","v":"2020-07-20"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!H531=\"\",\"\",ZOZNAM!H531),\"\")","v":"2020-07-24"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!I531=\"\",\"\",ZOZNAM!I531),\"\")","v":"700 EUR"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!J531=\"\",\"\",ZOZNAM!J531),\"\")","v":"2020-07-03"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!K531=\"\",\"\",ZOZNAM!K531),\"\")","v":"https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-data-analysis"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!L531=\"\",\"\",ZOZNAM!L531),\"\")","v":"The course Data science: Data Analysis offers a range of statistical techniques and algorithms from statistics, machine learning and data mining to make predict future events and uncover hidden structures in data. The course has a strong practical focus; participants actively learn how to apply these techniques to real data and how to interpret their results. The course covers both classical and modern topics in data analysis."},{"$f":"IF($A540<>\"\",IF(ZOZNAM!M531=\"\",\"\",ZOZNAM!M531),\"\")","v":"Univerzita ponúka ubytovanie za 200€."},{"$f":"IF($A540<>\"\",IF(ZOZNAM!N531=\"\",\"\",ZOZNAM!N531),\"\")","v":"nie"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!O531=\"\",\"\",ZOZNAM!O531),\"\")","v":"nie"},{"$f":"IF($A540<>\"\",IF(ZOZNAM!P531=\"\",\"\",ZOZNAM!P531),\"\")","v":2},{"$f":"IF($A540<>\"\",IF(ZOZNAM!Q531=\"\",\"\",ZOZNAM!Q531),\"\")","v":""},{"$f":"IF($A540<>\"\",IF(ZOZNAM!R531=\"\",\"\",ZOZNAM!R531),\"\")","v":""},{"$f":"IF($A540<>\"\",IF(ZOZNAM!S531=\"\",\"\",ZOZNAM!S531),\"\")","v":""},{"$f":"IF($A540<>\"\",IF(ZOZNAM!T531=\"\",\"\",ZOZNAM!T531),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C532)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C532)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C532)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C532)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C532)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C532)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L532)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L532)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L532)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L532)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L532)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L532)),FALSE))),ZOZNAM!G532>=$C$9),ZOZNAM!A532,\"\")","v":"HA103"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!B532=\"\",\"\",ZOZNAM!B532),\"\")","v":"Harvard "},{"$f":"IF($A541<>\"\",IF(ZOZNAM!C532=\"\",\"\",ZOZNAM!C532),\"\")","v":"FinTech"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!D532=\"\",\"\",ZOZNAM!D532),\"\")","v":"Online"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!E532=\"\",\"\",ZOZNAM!E532),\"\")","v":34},{"$f":"IF($A541<>\"\",IF(ZOZNAM!F532=\"\",\"\",ZOZNAM!F532),\"\")","v":49},{"$f":"IF($A541<>\"\",IF(ZOZNAM!G532=\"\",\"\",ZOZNAM!G532),\"\")","v":"2020-07-22"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!H532=\"\",\"\",ZOZNAM!H532),\"\")","v":"2020-09-08"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!I532=\"\",\"\",ZOZNAM!I532),\"\")","v":"3600 USD"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!J532=\"\",\"\",ZOZNAM!J532),\"\")","v":"2020-07-14"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!K532=\"\",\"\",ZOZNAM!K532),\"\")","v":"https://online-learning.harvard.edu/course/fintech?delta=2"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!L532=\"\",\"\",ZOZNAM!L532),\"\")","v":"What you'll learn\nAnalyze how competing interests may influence the way FinTech reshapes traditional banking\nDetermine how FinTech corporations are changing the traditional currency regime\nExplore who is currently adopting and driving financial innovations using real-world examples to assess the changes, disruption and adaptations resulting from the rise of FinTech solutions\nEvaluate the impact of FinTech solutions for real estate financing\nArticulate how artificial intelligence and machine learning are used in financial trading\nExamine how FinTech has altered financing through new forms of lending and crowdfunding"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!M532=\"\",\"\",ZOZNAM!M532),\"\")","v":"8-10 hours per week"},{"$f":"IF($A541<>\"\",IF(ZOZNAM!N532=\"\",\"\",ZOZNAM!N532),\"\")","v":""},{"$f":"IF($A541<>\"\",IF(ZOZNAM!O532=\"\",\"\",ZOZNAM!O532),\"\")","v":""},{"$f":"IF($A541<>\"\",IF(ZOZNAM!P532=\"\",\"\",ZOZNAM!P532),\"\")","v":""},{"$f":"IF($A541<>\"\",IF(ZOZNAM!Q532=\"\",\"\",ZOZNAM!Q532),\"\")","v":""},{"$f":"IF($A541<>\"\",IF(ZOZNAM!R532=\"\",\"\",ZOZNAM!R532),\"\")","v":""},{"$f":"IF($A541<>\"\",IF(ZOZNAM!S532=\"\",\"\",ZOZNAM!S532),\"\")","v":""},{"$f":"IF($A541<>\"\",IF(ZOZNAM!T532=\"\",\"\",ZOZNAM!T532),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C533)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C533)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C533)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C533)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C533)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C533)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L533)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L533)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L533)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L533)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L533)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L533)),FALSE))),ZOZNAM!G533>=$C$9),ZOZNAM!A533,\"\")","v":"IP012"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!B533=\"\",\"\",ZOZNAM!B533),\"\")","v":"ictPRO"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!C533=\"\",\"\",ZOZNAM!C533),\"\")","v":"Datová analýza v Pythonu"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!D533=\"\",\"\",ZOZNAM!D533),\"\")","v":"Praha, Česko"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!E533=\"\",\"\",ZOZNAM!E533),\"\")","v":3},{"$f":"IF($A542<>\"\",IF(ZOZNAM!F533=\"\",\"\",ZOZNAM!F533),\"\")","v":3},{"$f":"IF($A542<>\"\",IF(ZOZNAM!G533=\"\",\"\",ZOZNAM!G533),\"\")","v":"2020-07-22"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!H533=\"\",\"\",ZOZNAM!H533),\"\")","v":"2020-07-24"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!I533=\"\",\"\",ZOZNAM!I533),\"\")","v":"15 900 Kč"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!J533=\"\",\"\",ZOZNAM!J533),\"\")","v":""},{"$f":"IF($A542<>\"\",IF(ZOZNAM!K533=\"\",\"\",ZOZNAM!K533),\"\")","v":"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYTH4.aspx"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!L533=\"\",\"\",ZOZNAM!L533),\"\")","v":"Chtěli byste se dozvědět více informací z vašich dat? Nestačí Vám Excel a SQL? Potřebujete dělat pravidelné reporty z různých zdrojů a komplexních dat a chce to celé automatizovat? To všechno a další věci Vás naučíme v tomto kurzu. Seznámíte se s moderními technologie založenými na jazyce vhodném pro \"odborníky neprogramátory\", tedy Pythonu."},{"$f":"IF($A542<>\"\",IF(ZOZNAM!M533=\"\",\"\",ZOZNAM!M533),\"\")","v":""},{"$f":"IF($A542<>\"\",IF(ZOZNAM!N533=\"\",\"\",ZOZNAM!N533),\"\")","v":"nie"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!O533=\"\",\"\",ZOZNAM!O533),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A542<>\"\",IF(ZOZNAM!P533=\"\",\"\",ZOZNAM!P533),\"\")","v":""},{"$f":"IF($A542<>\"\",IF(ZOZNAM!Q533=\"\",\"\",ZOZNAM!Q533),\"\")","v":""},{"$f":"IF($A542<>\"\",IF(ZOZNAM!R533=\"\",\"\",ZOZNAM!R533),\"\")","v":""},{"$f":"IF($A542<>\"\",IF(ZOZNAM!S533=\"\",\"\",ZOZNAM!S533),\"\")","v":""},{"$f":"IF($A542<>\"\",IF(ZOZNAM!T533=\"\",\"\",ZOZNAM!T533),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C534)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C534)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C534)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C534)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C534)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C534)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L534)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L534)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L534)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L534)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L534)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L534)),FALSE))),ZOZNAM!G534>=$C$9),ZOZNAM!A534,\"\")","v":"EO002"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!B534=\"\",\"\",ZOZNAM!B534),\"\")","v":"European Observatory on Health Systems and Policies"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!C534=\"\",\"\",ZOZNAM!C534),\"\")","v":"Observatory Venice Summer School 2020"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!D534=\"\",\"\",ZOZNAM!D534),\"\")","v":"Benátky, Taliansko"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!E534=\"\",\"\",ZOZNAM!E534),\"\")","v":5},{"$f":"IF($A543<>\"\",IF(ZOZNAM!F534=\"\",\"\",ZOZNAM!F534),\"\")","v":6},{"$f":"IF($A543<>\"\",IF(ZOZNAM!G534=\"\",\"\",ZOZNAM!G534),\"\")","v":"2020-07-26"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!H534=\"\",\"\",ZOZNAM!H534),\"\")","v":"2020-07-31"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!I534=\"\",\"\",ZOZNAM!I534),\"\")","v":"2 260 EUR"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!J534=\"\",\"\",ZOZNAM!J534),\"\")","v":"2020-05-31"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!K534=\"\",\"\",ZOZNAM!K534),\"\")","v":"http://www.euro.who.int/en/media-centre/events/events/2020/07/observatory-venice-summer-school-2020"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!L534=\"\",\"\",ZOZNAM!L534),\"\")","v":"The course is aimed at senior and mid level policy makers, civil servants and professionals with responsibility for hospital care, whether at policy, self-regulatory, clinical or managerial level. If you want to make hospitals a place that people look up to, both for high quality patient care and as a place to work, then the Observatory Venice Summer School is for you. Question everything we know about what hospitals do, how they work and how they are regulated and paid. •Reflect on how the patients we treat in hospitals are changing, asking how we will care for increasing numbers of frail older patients, patients with multiple complex conditions who don’t easily fit into a single specialty, patients with highly specialist needs whose care is at the forefront of scientific research, patients from increasingly diverse cultures.. Explore how we will adapt to the challenges of disruptive technology, in a world of minimally invasive surgery, new types of imaging, and bedside diagnostics. Think about how, in a world where the brightest and best have many other opportunities, we will attract and retain high quality staff, and why it matters. Challenge traditional ways of doing things, asking whether things are best done by a different type of health worker, a patient or their carer, or a machine"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!M534=\"\",\"\",ZOZNAM!M534),\"\")","v":""},{"$f":"IF($A543<>\"\",IF(ZOZNAM!N534=\"\",\"\",ZOZNAM!N534),\"\")","v":"áno"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!O534=\"\",\"\",ZOZNAM!O534),\"\")","v":"nie"},{"$f":"IF($A543<>\"\",IF(ZOZNAM!P534=\"\",\"\",ZOZNAM!P534),\"\")","v":""},{"$f":"IF($A543<>\"\",IF(ZOZNAM!Q534=\"\",\"\",ZOZNAM!Q534),\"\")","v":""},{"$f":"IF($A543<>\"\",IF(ZOZNAM!R534=\"\",\"\",ZOZNAM!R534),\"\")","v":""},{"$f":"IF($A543<>\"\",IF(ZOZNAM!S534=\"\",\"\",ZOZNAM!S534),\"\")","v":""},{"$f":"IF($A543<>\"\",IF(ZOZNAM!T534=\"\",\"\",ZOZNAM!T534),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C542)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C542)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C542)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C542)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C542)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C542)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L542)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L542)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L542)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L542)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L542)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L542)),FALSE))),ZOZNAM!G542>=$C$9),ZOZNAM!A542,\"\")","v":"GE211"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!B542=\"\",\"\",ZOZNAM!B542),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!C542=\"\",\"\",ZOZNAM!C542),\"\")","v":"Research Designs and Causal Inference"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!D542=\"\",\"\",ZOZNAM!D542),\"\")","v":"Online"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!E542=\"\",\"\",ZOZNAM!E542),\"\")","v":3},{"$f":"IF($A551<>\"\",IF(ZOZNAM!F542=\"\",\"\",ZOZNAM!F542),\"\")","v":3},{"$f":"IF($A551<>\"\",IF(ZOZNAM!G542=\"\",\"\",ZOZNAM!G542),\"\")","v":"2020-07-29"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!H542=\"\",\"\",ZOZNAM!H542),\"\")","v":"2020-07-31"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!I542=\"\",\"\",ZOZNAM!I542),\"\")","v":"240  EUR"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!J542=\"\",\"\",ZOZNAM!J542),\"\")","v":"2020-07-08"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!K542=\"\",\"\",ZOZNAM!K542),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x45C7037A0DED4B8698AA6D904E762816"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!L542=\"\",\"\",ZOZNAM!L542),\"\")","v":"Social scientists are frequently interested in the analysis of change and its causes. For this reason, typical research interests refer not only to the observation of change but first and foremost to the analysis of its causes - the question why change occurs is at the core of many empirical studies in social science research. The extent to what change can be traced back to a specific cause unambiguously - the so-called internal validity - depends on the order and the course of the empirical study, in other words, the research designs. For this reason, decisions concerning the research design are crucial to the success of any causal analysis. Against the background of these considerations, different ways to classify research designs are introduced, and the relations between research questions and designs are introduced and discussed with regard to the strengths and weaknesses of different kinds of research designs."},{"$f":"IF($A551<>\"\",IF(ZOZNAM!M542=\"\",\"\",ZOZNAM!M542),\"\")","v":"Participants should have graduate-level knowledge about: main types of research and sampling designs, survey methodology, main techniques of cross-sectional and longitudinal designs and data analysis ."},{"$f":"IF($A551<>\"\",IF(ZOZNAM!N542=\"\",\"\",ZOZNAM!N542),\"\")","v":"nie"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!O542=\"\",\"\",ZOZNAM!O542),\"\")","v":"nie"},{"$f":"IF($A551<>\"\",IF(ZOZNAM!P542=\"\",\"\",ZOZNAM!P542),\"\")","v":2.5},{"$f":"IF($A551<>\"\",IF(ZOZNAM!Q542=\"\",\"\",ZOZNAM!Q542),\"\")","v":""},{"$f":"IF($A551<>\"\",IF(ZOZNAM!R542=\"\",\"\",ZOZNAM!R542),\"\")","v":""},{"$f":"IF($A551<>\"\",IF(ZOZNAM!S542=\"\",\"\",ZOZNAM!S542),\"\")","v":""},{"$f":"IF($A551<>\"\",IF(ZOZNAM!T542=\"\",\"\",ZOZNAM!T542),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C543)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C543)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C543)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C543)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C543)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C543)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L543)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L543)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L543)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L543)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L543)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L543)),FALSE))),ZOZNAM!G543>=$C$9),ZOZNAM!A543,\"\")","v":"IP007"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!B543=\"\",\"\",ZOZNAM!B543),\"\")","v":"ictPRO"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!C543=\"\",\"\",ZOZNAM!C543),\"\")","v":"Python - základy programování"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!D543=\"\",\"\",ZOZNAM!D543),\"\")","v":"Praha, Česko"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!E543=\"\",\"\",ZOZNAM!E543),\"\")","v":3},{"$f":"IF($A552<>\"\",IF(ZOZNAM!F543=\"\",\"\",ZOZNAM!F543),\"\")","v":3},{"$f":"IF($A552<>\"\",IF(ZOZNAM!G543=\"\",\"\",ZOZNAM!G543),\"\")","v":"2020-07-29"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!H543=\"\",\"\",ZOZNAM!H543),\"\")","v":"2020-07-31"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!I543=\"\",\"\",ZOZNAM!I543),\"\")","v":"10 900 Kč"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!J543=\"\",\"\",ZOZNAM!J543),\"\")","v":""},{"$f":"IF($A552<>\"\",IF(ZOZNAM!K543=\"\",\"\",ZOZNAM!K543),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!L543=\"\",\"\",ZOZNAM!L543),\"\")","v":"V rámci školení se seznámíte s fungováním jazyka Python, podíváte se na složitější příkazy a možnostmi hledání a využití standardní knihovny. Součástí kurzu jsou samozřejmě také praktická cvičení, během nichž mimo jiné vyzkoušíte vytvoření automatizace dvou úkolů"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!M543=\"\",\"\",ZOZNAM!M543),\"\")","v":"Je možné sa pripojiť aj virtuálne"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!N543=\"\",\"\",ZOZNAM!N543),\"\")","v":"nie"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!O543=\"\",\"\",ZOZNAM!O543),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A552<>\"\",IF(ZOZNAM!P543=\"\",\"\",ZOZNAM!P543),\"\")","v":""},{"$f":"IF($A552<>\"\",IF(ZOZNAM!Q543=\"\",\"\",ZOZNAM!Q543),\"\")","v":""},{"$f":"IF($A552<>\"\",IF(ZOZNAM!R543=\"\",\"\",ZOZNAM!R543),\"\")","v":""},{"$f":"IF($A552<>\"\",IF(ZOZNAM!S543=\"\",\"\",ZOZNAM!S543),\"\")","v":""},{"$f":"IF($A552<>\"\",IF(ZOZNAM!T543=\"\",\"\",ZOZNAM!T543),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C544)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C544)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C544)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C544)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C544)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C544)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L544)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L544)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L544)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L544)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L544)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L544)),FALSE))),ZOZNAM!G544>=$C$9),ZOZNAM!A544,\"\")","v":"LO240"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!B544=\"\",\"\",ZOZNAM!B544),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!C544=\"\",\"\",ZOZNAM!C544),\"\")","v":"Public Policy Analysis"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!D544=\"\",\"\",ZOZNAM!D544),\"\")","v":"Online"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!E544=\"\",\"\",ZOZNAM!E544),\"\")","v":54},{"$f":"IF($A553<>\"\",IF(ZOZNAM!F544=\"\",\"\",ZOZNAM!F544),\"\")","v":78},{"$f":"IF($A553<>\"\",IF(ZOZNAM!G544=\"\",\"\",ZOZNAM!G544),\"\")","v":"2020-07-29"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!H544=\"\",\"\",ZOZNAM!H544),\"\")","v":"2020-10-14"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!I544=\"\",\"\",ZOZNAM!I544),\"\")","v":"2 100 GBP"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!J544=\"\",\"\",ZOZNAM!J544),\"\")","v":"2020-07-21"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!K544=\"\",\"\",ZOZNAM!K544),\"\")","v":"http://www.lse.ac.uk/study-at-lse/Online-learning/Courses/Public-Policy-Analysis"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!L544=\"\",\"\",ZOZNAM!L544),\"\")","v":"During the LSE Public Policy Analysis online certificate course, you’ll engage with topical, global case studies as you develop practical skills and techniques for immediate application to policy-related projects, or within your organisation. Benefit from the unique pedagogy and multidisciplinary approach of LSE – an institution at the forefront of research and teaching in the social sciences – as you develop analytical frameworks to better understand the policy process and the factors that contribute to policy success and failure.\n\nOver the course of 10 weeks, online, you’ll enhance your practical policy communication skills, as well as explore how to leverage common quantitative techniques and research methodologies to conduct evidence-based impact evaluations.\n\nThroughout this online certificate course, developed by LSE’s School of Public Policy, you’ll get the opportunity to interact with a global cohort of like-minded individuals and to learn from expert LSE faculty with diverse experience in conducting research in a number of different countries, across a variety of policy areas.\n\n"},{"$f":"IF($A553<>\"\",IF(ZOZNAM!M544=\"\",\"\",ZOZNAM!M544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!N544=\"\",\"\",ZOZNAM!N544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!O544=\"\",\"\",ZOZNAM!O544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!P544=\"\",\"\",ZOZNAM!P544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!Q544=\"\",\"\",ZOZNAM!Q544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!R544=\"\",\"\",ZOZNAM!R544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!S544=\"\",\"\",ZOZNAM!S544),\"\")","v":""},{"$f":"IF($A553<>\"\",IF(ZOZNAM!T544=\"\",\"\",ZOZNAM!T544),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C545)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C545)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C545)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C545)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C545)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C545)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L545)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L545)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L545)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L545)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L545)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L545)),FALSE))),ZOZNAM!G545>=$C$9),ZOZNAM!A545,\"\")","v":"EU193"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!B545=\"\",\"\",ZOZNAM!B545),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!C545=\"\",\"\",ZOZNAM!C545),\"\")","v":"Efficient Management of Public Sector Budgets and Services - What to Do and How to Do it"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!D545=\"\",\"\",ZOZNAM!D545),\"\")","v":"Maastricht, Holandsko"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!E545=\"\",\"\",ZOZNAM!E545),\"\")","v":2},{"$f":"IF($A554<>\"\",IF(ZOZNAM!F545=\"\",\"\",ZOZNAM!F545),\"\")","v":2},{"$f":"IF($A554<>\"\",IF(ZOZNAM!G545=\"\",\"\",ZOZNAM!G545),\"\")","v":"2020-02-12"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!H545=\"\",\"\",ZOZNAM!H545),\"\")","v":"2020-02-13"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!I545=\"\",\"\",ZOZNAM!I545),\"\")","v":"1100 EUR"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!J545=\"\",\"\",ZOZNAM!J545),\"\")","v":""},{"$f":"IF($A554<>\"\",IF(ZOZNAM!K545=\"\",\"\",ZOZNAM!K545),\"\")","v":"https://www.eipa.eu/product/public-sector-budgets/"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!L545=\"\",\"\",ZOZNAM!L545),\"\")","v":"We cover key financial/operational risks across the public financial management cycle – budgeting, budget execution, planning and delivery of services focusing on how to:\n\nPrepare public sector budgets and service plans in difficult times by making realistic choices about priorities and thus make best use of limited resources;\nLink budgets to service priorities;\nUse budgets as a tool to manage public services, including setting/using KPIs and when/how to deal with unfavourable outcomes.\nWe also cover stakeholder impact budgets (such as gender-based budgeting), the role of multi-annual budgets and the challenges in performance budgeting. y the end of the workshop you will:\n\nBetter understand the role of budgeting in the public sector and why it matters;\nBe able to deal more effectively with the current challenges for budgeting and service planning for finance staff and service managers;\nAchieve better co-operation between finance staff and service managers to improve public service planning and delivery;\nBe able to identify/manage the most commonly arising financial and operational risks in budget preparation and planning for service delivery;\nBe able to identify/manage the commonly arising financial and operational risks in the budget execution of and service delivery;\nBetter understand how auditors can help public sector bodies to improve their management of finances/services."},{"$f":"IF($A554<>\"\",IF(ZOZNAM!M545=\"\",\"\",ZOZNAM!M545),\"\")","v":""},{"$f":"IF($A554<>\"\",IF(ZOZNAM!N545=\"\",\"\",ZOZNAM!N545),\"\")","v":"nie"},{"$f":"IF($A554<>\"\",IF(ZOZNAM!O545=\"\",\"\",ZOZNAM!O545),\"\")","v":"nie "},{"$f":"IF($A554<>\"\",IF(ZOZNAM!P545=\"\",\"\",ZOZNAM!P545),\"\")","v":""},{"$f":"IF($A554<>\"\",IF(ZOZNAM!Q545=\"\",\"\",ZOZNAM!Q545),\"\")","v":""},{"$f":"IF($A554<>\"\",IF(ZOZNAM!R545=\"\",\"\",ZOZNAM!R545),\"\")","v":""},{"$f":"IF($A554<>\"\",IF(ZOZNAM!S545=\"\",\"\",ZOZNAM!S545),\"\")","v":""},{"$f":"IF($A554<>\"\",IF(ZOZNAM!T545=\"\",\"\",ZOZNAM!T545),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C557)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C557)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C557)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C557)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C557)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C557)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L557)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L557)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L557)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L557)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L557)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L557)),FALSE))),ZOZNAM!G557>=$C$9),ZOZNAM!A557,\"\")","v":"GE213"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!B557=\"\",\"\",ZOZNAM!B557),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!C557=\"\",\"\",ZOZNAM!C557),\"\")","v":"Mathematical Tools for Social Scientists: A Refresher Course with R"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!D557=\"\",\"\",ZOZNAM!D557),\"\")","v":"Online"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!E557=\"\",\"\",ZOZNAM!E557),\"\")","v":5},{"$f":"IF($A566<>\"\",IF(ZOZNAM!F557=\"\",\"\",ZOZNAM!F557),\"\")","v":5},{"$f":"IF($A566<>\"\",IF(ZOZNAM!G557=\"\",\"\",ZOZNAM!G557),\"\")","v":"2020-08-03"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!H557=\"\",\"\",ZOZNAM!H557),\"\")","v":"2020-08-07"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!I557=\"\",\"\",ZOZNAM!I557),\"\")","v":"480 EUR"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!J557=\"\",\"\",ZOZNAM!J557),\"\")","v":"2020-07-08"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!K557=\"\",\"\",ZOZNAM!K557),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xCC798FF06B774A59B541FEC819E9C301"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!L557=\"\",\"\",ZOZNAM!L557),\"\")","v":"By the end of the course, participants will: have an understanding of the fundamentals of Mathematics, as well as several advanced topics, have learnt how several basic as well as advanced statistical methods are conceptualized mathematically and how they are implemented analytically and computationally, give R beginners an introduction to the most powerful and universal computing tool available, give existing R users new insights into the R environment. "},{"$f":"IF($A566<>\"\",IF(ZOZNAM!M557=\"\",\"\",ZOZNAM!M557),\"\")","v":"Prerequisites: The only prerequisite for the workshop is the motivation to learn (or to repeat) the fundamentals of Mathematics and R. Note: Familiarity with R is not a prerequisite (but highly welcome). Downloading and installing R (http://cran.r-project.org) and Rstudio (http://rstudio.org) prior to the course is strongly suggested. Participants are encouraged to play around with the software before the course in order to get a feeling for it."},{"$f":"IF($A566<>\"\",IF(ZOZNAM!N557=\"\",\"\",ZOZNAM!N557),\"\")","v":"nie"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!O557=\"\",\"\",ZOZNAM!O557),\"\")","v":"nie"},{"$f":"IF($A566<>\"\",IF(ZOZNAM!P557=\"\",\"\",ZOZNAM!P557),\"\")","v":2.5},{"$f":"IF($A566<>\"\",IF(ZOZNAM!Q557=\"\",\"\",ZOZNAM!Q557),\"\")","v":""},{"$f":"IF($A566<>\"\",IF(ZOZNAM!R557=\"\",\"\",ZOZNAM!R557),\"\")","v":""},{"$f":"IF($A566<>\"\",IF(ZOZNAM!S557=\"\",\"\",ZOZNAM!S557),\"\")","v":""},{"$f":"IF($A566<>\"\",IF(ZOZNAM!T557=\"\",\"\",ZOZNAM!T557),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C558)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C558)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C558)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C558)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C558)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C558)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L558)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L558)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L558)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L558)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L558)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L558)),FALSE))),ZOZNAM!G558>=$C$9),ZOZNAM!A558,\"\")","v":"GE216"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!B558=\"\",\"\",ZOZNAM!B558),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!C558=\"\",\"\",ZOZNAM!C558),\"\")","v":"Questionnaire Design"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!D558=\"\",\"\",ZOZNAM!D558),\"\")","v":"Online"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!E558=\"\",\"\",ZOZNAM!E558),\"\")","v":5},{"$f":"IF($A567<>\"\",IF(ZOZNAM!F558=\"\",\"\",ZOZNAM!F558),\"\")","v":5},{"$f":"IF($A567<>\"\",IF(ZOZNAM!G558=\"\",\"\",ZOZNAM!G558),\"\")","v":"2020-08-03"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!H558=\"\",\"\",ZOZNAM!H558),\"\")","v":"2020-08-07"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!I558=\"\",\"\",ZOZNAM!I558),\"\")","v":"480 EUR"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!J558=\"\",\"\",ZOZNAM!J558),\"\")","v":"2020-07-08"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!K558=\"\",\"\",ZOZNAM!K558),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xB4BF526DE1224D8A94150A98816A118D"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!L558=\"\",\"\",ZOZNAM!L558),\"\")","v":"Briefly speaking, the quality of survey answers provided by respondents can only be as good as the questions being asked. Thus, an effective questionnaire is a key component of a survey contributing to overall data quality. In addition to an overview of theoretical principles underlying questionnaire design this course particularly aims at providing evidence-based practical advice on how to design good survey questions and questionnaires. Based on field-experimental studies evaluating various aspects of questionnaire design participants will acquire state of the art knowledge concerning questionnaire design. The course offers the opportunity to apply these competencies under the supervision of the lecturer in group exercises and assignments. The course will strengthen participants' ability to design effective survey questions and to integrate them into a meaningful questionnaire.\n "},{"$f":"IF($A567<>\"\",IF(ZOZNAM!M558=\"\",\"\",ZOZNAM!M558),\"\")","v":"Basic knowledge in quantitative social science research methods is required; basic knowledge concerning survey design and data quality is advisable. Participants not familiar with the total survey error framework are encouraged to consider the preparatory reading mentioned at the end of this syllabus. There are no statistical prerequisites."},{"$f":"IF($A567<>\"\",IF(ZOZNAM!N558=\"\",\"\",ZOZNAM!N558),\"\")","v":"nie"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!O558=\"\",\"\",ZOZNAM!O558),\"\")","v":"nie"},{"$f":"IF($A567<>\"\",IF(ZOZNAM!P558=\"\",\"\",ZOZNAM!P558),\"\")","v":2.5},{"$f":"IF($A567<>\"\",IF(ZOZNAM!Q558=\"\",\"\",ZOZNAM!Q558),\"\")","v":""},{"$f":"IF($A567<>\"\",IF(ZOZNAM!R558=\"\",\"\",ZOZNAM!R558),\"\")","v":""},{"$f":"IF($A567<>\"\",IF(ZOZNAM!S558=\"\",\"\",ZOZNAM!S558),\"\")","v":""},{"$f":"IF($A567<>\"\",IF(ZOZNAM!T558=\"\",\"\",ZOZNAM!T558),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C559)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C559)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C559)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C559)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C559)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C559)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L559)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L559)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L559)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L559)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L559)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L559)),FALSE))),ZOZNAM!G559>=$C$9),ZOZNAM!A559,\"\")","v":"IP009"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!B559=\"\",\"\",ZOZNAM!B559),\"\")","v":"ictPRO"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!C559=\"\",\"\",ZOZNAM!C559),\"\")","v":"Python - základy programování"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!D559=\"\",\"\",ZOZNAM!D559),\"\")","v":"Brno, Česko"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!E559=\"\",\"\",ZOZNAM!E559),\"\")","v":3},{"$f":"IF($A568<>\"\",IF(ZOZNAM!F559=\"\",\"\",ZOZNAM!F559),\"\")","v":3},{"$f":"IF($A568<>\"\",IF(ZOZNAM!G559=\"\",\"\",ZOZNAM!G559),\"\")","v":"2020-08-03"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!H559=\"\",\"\",ZOZNAM!H559),\"\")","v":"2020-08-05"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!I559=\"\",\"\",ZOZNAM!I559),\"\")","v":"10 900 Kč"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!J559=\"\",\"\",ZOZNAM!J559),\"\")","v":""},{"$f":"IF($A568<>\"\",IF(ZOZNAM!K559=\"\",\"\",ZOZNAM!K559),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!L559=\"\",\"\",ZOZNAM!L559),\"\")","v":"Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata."},{"$f":"IF($A568<>\"\",IF(ZOZNAM!M559=\"\",\"\",ZOZNAM!M559),\"\")","v":"Je možné sa pripojiť aj virtuálne"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!N559=\"\",\"\",ZOZNAM!N559),\"\")","v":"nie"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!O559=\"\",\"\",ZOZNAM!O559),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A568<>\"\",IF(ZOZNAM!P559=\"\",\"\",ZOZNAM!P559),\"\")","v":""},{"$f":"IF($A568<>\"\",IF(ZOZNAM!Q559=\"\",\"\",ZOZNAM!Q559),\"\")","v":""},{"$f":"IF($A568<>\"\",IF(ZOZNAM!R559=\"\",\"\",ZOZNAM!R559),\"\")","v":""},{"$f":"IF($A568<>\"\",IF(ZOZNAM!S559=\"\",\"\",ZOZNAM!S559),\"\")","v":""},{"$f":"IF($A568<>\"\",IF(ZOZNAM!T559=\"\",\"\",ZOZNAM!T559),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C560)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C560)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C560)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C560)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C560)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C560)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L560)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L560)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L560)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L560)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L560)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L560)),FALSE))),ZOZNAM!G560>=$C$9),ZOZNAM!A560,\"\")","v":"MA240"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!B560=\"\",\"\",ZOZNAM!B560),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!C560=\"\",\"\",ZOZNAM!C560),\"\")","v":"Transportation Networks and Smart Mobility: Methods and Solutions"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!D560=\"\",\"\",ZOZNAM!D560),\"\")","v":"Online/Boston, USA"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!E560=\"\",\"\",ZOZNAM!E560),\"\")","v":5},{"$f":"IF($A569<>\"\",IF(ZOZNAM!F560=\"\",\"\",ZOZNAM!F560),\"\")","v":5},{"$f":"IF($A569<>\"\",IF(ZOZNAM!G560=\"\",\"\",ZOZNAM!G560),\"\")","v":"2020-08-03"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!H560=\"\",\"\",ZOZNAM!H560),\"\")","v":"2020-08-07"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!I560=\"\",\"\",ZOZNAM!I560),\"\")","v":"3600 USD"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!J560=\"\",\"\",ZOZNAM!J560),\"\")","v":"2020-07-27"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!K560=\"\",\"\",ZOZNAM!K560),\"\")","v":"https://professional.mit.edu/course-catalog/transportation-networks-and-smart-mobility-methods-and-solutions"},{"$f":"IF($A569<>\"\",IF(ZOZNAM!L560=\"\",\"\",ZOZNAM!L560),\"\")","v":"This course presents theory of transportation modelling and simulation techniques, with a focus on Smart Mobility solutions and real-world applications. It provides an in-depth study of the most sophisticated traffic simulation models, demand modeling methods, and related analytical techniques. Some of the topics include: modeling and simulation approaches for future mobility; discrete choice models and their application to travel choices and driving behavior; predicting traffic congestion; traffic flow models and simulation methods (microscopic, mesoscopic, and macroscopic); automated and connective vehicles in mixed traffic; alternative dynamic traffic assignment methods; and calibration of large scale simulation systems. In addition, the course covers recent developments in modelling, simulation, operations of smart mobility services, and machine learning applications in transportation. The course also includes case studies to elucidate the concepts and showcase the potential applications."},{"$f":"IF($A569<>\"\",IF(ZOZNAM!M560=\"\",\"\",ZOZNAM!M560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!N560=\"\",\"\",ZOZNAM!N560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!O560=\"\",\"\",ZOZNAM!O560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!P560=\"\",\"\",ZOZNAM!P560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!Q560=\"\",\"\",ZOZNAM!Q560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!R560=\"\",\"\",ZOZNAM!R560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!S560=\"\",\"\",ZOZNAM!S560),\"\")","v":""},{"$f":"IF($A569<>\"\",IF(ZOZNAM!T560=\"\",\"\",ZOZNAM!T560),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C563)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C563)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C563)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C563)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C563)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C563)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L563)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L563)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L563)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L563)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L563)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L563)),FALSE))),ZOZNAM!G563>=$C$9),ZOZNAM!A563,\"\")","v":"EC268"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!B563=\"\",\"\",ZOZNAM!B563),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!C563=\"\",\"\",ZOZNAM!C563),\"\")","v":"Quantitative Text Analysis"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!D563=\"\",\"\",ZOZNAM!D563),\"\")","v":"Online"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!E563=\"\",\"\",ZOZNAM!E563),\"\")","v":5},{"$f":"IF($A572<>\"\",IF(ZOZNAM!F563=\"\",\"\",ZOZNAM!F563),\"\")","v":5},{"$f":"IF($A572<>\"\",IF(ZOZNAM!G563=\"\",\"\",ZOZNAM!G563),\"\")","v":"2020-08-10"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!H563=\"\",\"\",ZOZNAM!H563),\"\")","v":"2020-08-14"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!I563=\"\",\"\",ZOZNAM!I563),\"\")","v":"875 GBP"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!J563=\"\",\"\",ZOZNAM!J563),\"\")","v":""},{"$f":"IF($A572<>\"\",IF(ZOZNAM!K563=\"\",\"\",ZOZNAM!K563),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9922&EventID=148"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!L563=\"\",\"\",ZOZNAM!L563),\"\")","v":"The course will introduce you to quantitative text analysis methods using examples from political science and related disciplines. It will look at manual content analysis but the emphasis will be on computer-assisted text analysis. We will cover methodological and practical aspects of the different methods. "},{"$f":"IF($A572<>\"\",IF(ZOZNAM!M563=\"\",\"\",ZOZNAM!M563),\"\")","v":"You should be familiar with basic statistical concepts such as measures of central tendency (mean, median), dispersion (standard deviation), tests of association (Pearson’s r), inference (χ2, t-test).These materials are covered in the first few chapters of introductory statistics or data analysis textbooks. A useful example is Pollock P.H. III, The Essentials of Political Analysis, fourth edition (Washington, DC: CQ Press, 2012). Chapters 2, 3, 6, and 7.Some familiarity with R statistical software is also desirable but not necessary. We will use R Studio for all the seminar exercises. "},{"$f":"IF($A572<>\"\",IF(ZOZNAM!N563=\"\",\"\",ZOZNAM!N563),\"\")","v":"nie"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!O563=\"\",\"\",ZOZNAM!O563),\"\")","v":"nie"},{"$f":"IF($A572<>\"\",IF(ZOZNAM!P563=\"\",\"\",ZOZNAM!P563),\"\")","v":""},{"$f":"IF($A572<>\"\",IF(ZOZNAM!Q563=\"\",\"\",ZOZNAM!Q563),\"\")","v":""},{"$f":"IF($A572<>\"\",IF(ZOZNAM!R563=\"\",\"\",ZOZNAM!R563),\"\")","v":""},{"$f":"IF($A572<>\"\",IF(ZOZNAM!S563=\"\",\"\",ZOZNAM!S563),\"\")","v":""},{"$f":"IF($A572<>\"\",IF(ZOZNAM!T563=\"\",\"\",ZOZNAM!T563),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C564)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C564)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C564)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C564)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C564)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C564)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L564)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L564)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L564)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L564)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L564)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L564)),FALSE))),ZOZNAM!G564>=$C$9),ZOZNAM!A564,\"\")","v":"EC270"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!B564=\"\",\"\",ZOZNAM!B564),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!C564=\"\",\"\",ZOZNAM!C564),\"\")","v":"Machine Learning with Big Data for Social Scientists"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!D564=\"\",\"\",ZOZNAM!D564),\"\")","v":"Online"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!E564=\"\",\"\",ZOZNAM!E564),\"\")","v":5},{"$f":"IF($A573<>\"\",IF(ZOZNAM!F564=\"\",\"\",ZOZNAM!F564),\"\")","v":5},{"$f":"IF($A573<>\"\",IF(ZOZNAM!G564=\"\",\"\",ZOZNAM!G564),\"\")","v":"2020-08-10"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!H564=\"\",\"\",ZOZNAM!H564),\"\")","v":"2020-08-14"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!I564=\"\",\"\",ZOZNAM!I564),\"\")","v":"875 GBP"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!J564=\"\",\"\",ZOZNAM!J564),\"\")","v":""},{"$f":"IF($A573<>\"\",IF(ZOZNAM!K564=\"\",\"\",ZOZNAM!K564),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9923&EventID=148"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!L564=\"\",\"\",ZOZNAM!L564),\"\")","v":"You will learn how to work with big data using R, through various available solutions.You’ll also gain insights from the data through basic machine learning techniques, and from coding tutorials."},{"$f":"IF($A573<>\"\",IF(ZOZNAM!M564=\"\",\"\",ZOZNAM!M564),\"\")","v":"The course assumes you have some familiarity with R statistical language and can conduct basic data handling in R (opening data files, working with data frames). If you don’t have this, take the week-one course Introduction to R. You should also have basic knowledge of standard statistical analysis in social science, such as linear regression and hypothesis testing. These are covered in the week-one courses Introduction to Inferential Statistics and Big Data Collection and Management in R."},{"$f":"IF($A573<>\"\",IF(ZOZNAM!N564=\"\",\"\",ZOZNAM!N564),\"\")","v":"nie"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!O564=\"\",\"\",ZOZNAM!O564),\"\")","v":"nie"},{"$f":"IF($A573<>\"\",IF(ZOZNAM!P564=\"\",\"\",ZOZNAM!P564),\"\")","v":""},{"$f":"IF($A573<>\"\",IF(ZOZNAM!Q564=\"\",\"\",ZOZNAM!Q564),\"\")","v":""},{"$f":"IF($A573<>\"\",IF(ZOZNAM!R564=\"\",\"\",ZOZNAM!R564),\"\")","v":""},{"$f":"IF($A573<>\"\",IF(ZOZNAM!S564=\"\",\"\",ZOZNAM!S564),\"\")","v":""},{"$f":"IF($A573<>\"\",IF(ZOZNAM!T564=\"\",\"\",ZOZNAM!T564),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C565)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C565)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C565)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C565)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C565)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C565)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L565)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L565)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L565)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L565)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L565)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L565)),FALSE))),ZOZNAM!G565>=$C$9),ZOZNAM!A565,\"\")","v":"EC271"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!B565=\"\",\"\",ZOZNAM!B565),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!C565=\"\",\"\",ZOZNAM!C565),\"\")","v":"The Statistics of Causal Inference"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!D565=\"\",\"\",ZOZNAM!D565),\"\")","v":"Online"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!E565=\"\",\"\",ZOZNAM!E565),\"\")","v":5},{"$f":"IF($A574<>\"\",IF(ZOZNAM!F565=\"\",\"\",ZOZNAM!F565),\"\")","v":5},{"$f":"IF($A574<>\"\",IF(ZOZNAM!G565=\"\",\"\",ZOZNAM!G565),\"\")","v":"2020-08-10"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!H565=\"\",\"\",ZOZNAM!H565),\"\")","v":"2020-08-14"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!I565=\"\",\"\",ZOZNAM!I565),\"\")","v":"875 GBP"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!J565=\"\",\"\",ZOZNAM!J565),\"\")","v":""},{"$f":"IF($A574<>\"\",IF(ZOZNAM!K565=\"\",\"\",ZOZNAM!K565),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9930&EventID=148"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!L565=\"\",\"\",ZOZNAM!L565),\"\")","v":"This course introduces you to the principles, logic and perquisites of causal inference. Using the potential outcomes framework, together with elements from Pearl's Directed-Acyclic-Graph treatment of causality, it aims to familiarise you with design-based approaches to causal inference. We will try to set best practices about how to think and discuss causal effects."},{"$f":"IF($A574<>\"\",IF(ZOZNAM!M565=\"\",\"\",ZOZNAM!M565),\"\")","v":"You should have a solid understanding of linear regression and even mechanical knowledge of hypothesis testing at the level of any introductory econometrics textbook."},{"$f":"IF($A574<>\"\",IF(ZOZNAM!N565=\"\",\"\",ZOZNAM!N565),\"\")","v":"nie"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!O565=\"\",\"\",ZOZNAM!O565),\"\")","v":"nie"},{"$f":"IF($A574<>\"\",IF(ZOZNAM!P565=\"\",\"\",ZOZNAM!P565),\"\")","v":""},{"$f":"IF($A574<>\"\",IF(ZOZNAM!Q565=\"\",\"\",ZOZNAM!Q565),\"\")","v":""},{"$f":"IF($A574<>\"\",IF(ZOZNAM!R565=\"\",\"\",ZOZNAM!R565),\"\")","v":""},{"$f":"IF($A574<>\"\",IF(ZOZNAM!S565=\"\",\"\",ZOZNAM!S565),\"\")","v":""},{"$f":"IF($A574<>\"\",IF(ZOZNAM!T565=\"\",\"\",ZOZNAM!T565),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C566)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C566)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C566)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C566)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C566)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C566)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L566)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L566)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L566)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L566)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L566)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L566)),FALSE))),ZOZNAM!G566>=$C$9),ZOZNAM!A566,\"\")","v":"IP004"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!B566=\"\",\"\",ZOZNAM!B566),\"\")","v":"ictPRO"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!C566=\"\",\"\",ZOZNAM!C566),\"\")","v":"Úvod do data Miningu (DM1)"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!D566=\"\",\"\",ZOZNAM!D566),\"\")","v":"Praha, Česko"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!E566=\"\",\"\",ZOZNAM!E566),\"\")","v":2},{"$f":"IF($A575<>\"\",IF(ZOZNAM!F566=\"\",\"\",ZOZNAM!F566),\"\")","v":2},{"$f":"IF($A575<>\"\",IF(ZOZNAM!G566=\"\",\"\",ZOZNAM!G566),\"\")","v":"2020-01-30"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!H566=\"\",\"\",ZOZNAM!H566),\"\")","v":"2020-01-31"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!I566=\"\",\"\",ZOZNAM!I566),\"\")","v":"8900 Kč"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!J566=\"\",\"\",ZOZNAM!J566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!K566=\"\",\"\",ZOZNAM!K566),\"\")","v":"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!L566=\"\",\"\",ZOZNAM!L566),\"\")","v":"V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!M566=\"\",\"\",ZOZNAM!M566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!N566=\"\",\"\",ZOZNAM!N566),\"\")","v":"nie"},{"$f":"IF($A575<>\"\",IF(ZOZNAM!O566=\"\",\"\",ZOZNAM!O566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!P566=\"\",\"\",ZOZNAM!P566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!Q566=\"\",\"\",ZOZNAM!Q566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!R566=\"\",\"\",ZOZNAM!R566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!S566=\"\",\"\",ZOZNAM!S566),\"\")","v":""},{"$f":"IF($A575<>\"\",IF(ZOZNAM!T566=\"\",\"\",ZOZNAM!T566),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C567)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C567)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C567)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C567)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C567)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C567)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L567)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L567)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L567)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L567)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L567)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L567)),FALSE))),ZOZNAM!G567>=$C$9),ZOZNAM!A567,\"\")","v":"IP001"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!B567=\"\",\"\",ZOZNAM!B567),\"\")","v":"ictPRO"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!C567=\"\",\"\",ZOZNAM!C567),\"\")","v":"Úvod do data Miningu (DM1)"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!D567=\"\",\"\",ZOZNAM!D567),\"\")","v":"Brno, Česko"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!E567=\"\",\"\",ZOZNAM!E567),\"\")","v":2},{"$f":"IF($A576<>\"\",IF(ZOZNAM!F567=\"\",\"\",ZOZNAM!F567),\"\")","v":2},{"$f":"IF($A576<>\"\",IF(ZOZNAM!G567=\"\",\"\",ZOZNAM!G567),\"\")","v":"2020-03-05"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!H567=\"\",\"\",ZOZNAM!H567),\"\")","v":"2020-03-06"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!I567=\"\",\"\",ZOZNAM!I567),\"\")","v":"8900 Kč"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!J567=\"\",\"\",ZOZNAM!J567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!K567=\"\",\"\",ZOZNAM!K567),\"\")","v":"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!L567=\"\",\"\",ZOZNAM!L567),\"\")","v":"V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!M567=\"\",\"\",ZOZNAM!M567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!N567=\"\",\"\",ZOZNAM!N567),\"\")","v":"nie"},{"$f":"IF($A576<>\"\",IF(ZOZNAM!O567=\"\",\"\",ZOZNAM!O567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!P567=\"\",\"\",ZOZNAM!P567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!Q567=\"\",\"\",ZOZNAM!Q567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!R567=\"\",\"\",ZOZNAM!R567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!S567=\"\",\"\",ZOZNAM!S567),\"\")","v":""},{"$f":"IF($A576<>\"\",IF(ZOZNAM!T567=\"\",\"\",ZOZNAM!T567),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C568)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C568)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C568)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C568)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C568)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C568)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L568)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L568)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L568)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L568)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L568)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L568)),FALSE))),ZOZNAM!G568>=$C$9),ZOZNAM!A568,\"\")","v":"IP005"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!B568=\"\",\"\",ZOZNAM!B568),\"\")","v":"ictPRO"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!C568=\"\",\"\",ZOZNAM!C568),\"\")","v":"Úvod do data Miningu (DM1)"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!D568=\"\",\"\",ZOZNAM!D568),\"\")","v":"Praha, Česko"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!E568=\"\",\"\",ZOZNAM!E568),\"\")","v":2},{"$f":"IF($A577<>\"\",IF(ZOZNAM!F568=\"\",\"\",ZOZNAM!F568),\"\")","v":2},{"$f":"IF($A577<>\"\",IF(ZOZNAM!G568=\"\",\"\",ZOZNAM!G568),\"\")","v":"2020-03-26"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!H568=\"\",\"\",ZOZNAM!H568),\"\")","v":"2020-03-27"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!I568=\"\",\"\",ZOZNAM!I568),\"\")","v":"8900 Kč"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!J568=\"\",\"\",ZOZNAM!J568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!K568=\"\",\"\",ZOZNAM!K568),\"\")","v":"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!L568=\"\",\"\",ZOZNAM!L568),\"\")","v":"V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!M568=\"\",\"\",ZOZNAM!M568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!N568=\"\",\"\",ZOZNAM!N568),\"\")","v":"nie"},{"$f":"IF($A577<>\"\",IF(ZOZNAM!O568=\"\",\"\",ZOZNAM!O568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!P568=\"\",\"\",ZOZNAM!P568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!Q568=\"\",\"\",ZOZNAM!Q568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!R568=\"\",\"\",ZOZNAM!R568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!S568=\"\",\"\",ZOZNAM!S568),\"\")","v":""},{"$f":"IF($A577<>\"\",IF(ZOZNAM!T568=\"\",\"\",ZOZNAM!T568),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C569)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C569)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C569)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C569)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C569)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C569)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L569)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L569)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L569)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L569)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L569)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L569)),FALSE))),ZOZNAM!G569>=$C$9),ZOZNAM!A569,\"\")","v":"IP002"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!B569=\"\",\"\",ZOZNAM!B569),\"\")","v":"ictPRO"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!C569=\"\",\"\",ZOZNAM!C569),\"\")","v":"Úvod do data Miningu (DM1)"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!D569=\"\",\"\",ZOZNAM!D569),\"\")","v":"Brno, Česko"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!E569=\"\",\"\",ZOZNAM!E569),\"\")","v":1},{"$f":"IF($A578<>\"\",IF(ZOZNAM!F569=\"\",\"\",ZOZNAM!F569),\"\")","v":2},{"$f":"IF($A578<>\"\",IF(ZOZNAM!G569=\"\",\"\",ZOZNAM!G569),\"\")","v":"2020-04-16"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!H569=\"\",\"\",ZOZNAM!H569),\"\")","v":"2020-04-17"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!I569=\"\",\"\",ZOZNAM!I569),\"\")","v":"8900 Kč"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!J569=\"\",\"\",ZOZNAM!J569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!K569=\"\",\"\",ZOZNAM!K569),\"\")","v":"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!L569=\"\",\"\",ZOZNAM!L569),\"\")","v":"V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!M569=\"\",\"\",ZOZNAM!M569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!N569=\"\",\"\",ZOZNAM!N569),\"\")","v":"nie"},{"$f":"IF($A578<>\"\",IF(ZOZNAM!O569=\"\",\"\",ZOZNAM!O569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!P569=\"\",\"\",ZOZNAM!P569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!Q569=\"\",\"\",ZOZNAM!Q569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!R569=\"\",\"\",ZOZNAM!R569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!S569=\"\",\"\",ZOZNAM!S569),\"\")","v":""},{"$f":"IF($A578<>\"\",IF(ZOZNAM!T569=\"\",\"\",ZOZNAM!T569),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C570)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C570)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C570)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C570)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C570)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C570)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L570)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L570)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L570)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L570)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L570)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L570)),FALSE))),ZOZNAM!G570>=$C$9),ZOZNAM!A570,\"\")","v":"IP006"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!B570=\"\",\"\",ZOZNAM!B570),\"\")","v":"ictPRO"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!C570=\"\",\"\",ZOZNAM!C570),\"\")","v":"Úvod do data Miningu (DM1)"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!D570=\"\",\"\",ZOZNAM!D570),\"\")","v":"Praha, Česko"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!E570=\"\",\"\",ZOZNAM!E570),\"\")","v":2},{"$f":"IF($A579<>\"\",IF(ZOZNAM!F570=\"\",\"\",ZOZNAM!F570),\"\")","v":2},{"$f":"IF($A579<>\"\",IF(ZOZNAM!G570=\"\",\"\",ZOZNAM!G570),\"\")","v":"2020-05-21"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!H570=\"\",\"\",ZOZNAM!H570),\"\")","v":"2020-05-22"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!I570=\"\",\"\",ZOZNAM!I570),\"\")","v":"8900 Kč"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!J570=\"\",\"\",ZOZNAM!J570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!K570=\"\",\"\",ZOZNAM!K570),\"\")","v":"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!L570=\"\",\"\",ZOZNAM!L570),\"\")","v":"V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!M570=\"\",\"\",ZOZNAM!M570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!N570=\"\",\"\",ZOZNAM!N570),\"\")","v":"nie"},{"$f":"IF($A579<>\"\",IF(ZOZNAM!O570=\"\",\"\",ZOZNAM!O570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!P570=\"\",\"\",ZOZNAM!P570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!Q570=\"\",\"\",ZOZNAM!Q570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!R570=\"\",\"\",ZOZNAM!R570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!S570=\"\",\"\",ZOZNAM!S570),\"\")","v":""},{"$f":"IF($A579<>\"\",IF(ZOZNAM!T570=\"\",\"\",ZOZNAM!T570),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C571)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C571)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C571)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C571)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C571)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C571)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L571)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L571)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L571)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L571)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L571)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L571)),FALSE))),ZOZNAM!G571>=$C$9),ZOZNAM!A571,\"\")","v":"IP003"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!B571=\"\",\"\",ZOZNAM!B571),\"\")","v":"ictPRO"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!C571=\"\",\"\",ZOZNAM!C571),\"\")","v":"Úvod do data Miningu (DM1)"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!D571=\"\",\"\",ZOZNAM!D571),\"\")","v":"Brno, Česko"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!E571=\"\",\"\",ZOZNAM!E571),\"\")","v":2},{"$f":"IF($A580<>\"\",IF(ZOZNAM!F571=\"\",\"\",ZOZNAM!F571),\"\")","v":2},{"$f":"IF($A580<>\"\",IF(ZOZNAM!G571=\"\",\"\",ZOZNAM!G571),\"\")","v":"2020-06-11"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!H571=\"\",\"\",ZOZNAM!H571),\"\")","v":"2020-06-12"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!I571=\"\",\"\",ZOZNAM!I571),\"\")","v":"8900 Kč"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!J571=\"\",\"\",ZOZNAM!J571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!K571=\"\",\"\",ZOZNAM!K571),\"\")","v":"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!L571=\"\",\"\",ZOZNAM!L571),\"\")","v":"V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!M571=\"\",\"\",ZOZNAM!M571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!N571=\"\",\"\",ZOZNAM!N571),\"\")","v":"nie"},{"$f":"IF($A580<>\"\",IF(ZOZNAM!O571=\"\",\"\",ZOZNAM!O571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!P571=\"\",\"\",ZOZNAM!P571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!Q571=\"\",\"\",ZOZNAM!Q571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!R571=\"\",\"\",ZOZNAM!R571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!S571=\"\",\"\",ZOZNAM!S571),\"\")","v":""},{"$f":"IF($A580<>\"\",IF(ZOZNAM!T571=\"\",\"\",ZOZNAM!T571),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C572)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C572)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C572)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C572)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C572)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C572)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L572)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L572)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L572)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L572)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L572)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L572)),FALSE))),ZOZNAM!G572>=$C$9),ZOZNAM!A572,\"\")","v":"EC272"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!B572=\"\",\"\",ZOZNAM!B572),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!C572=\"\",\"\",ZOZNAM!C572),\"\")","v":"Panel Data Analysis"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!D572=\"\",\"\",ZOZNAM!D572),\"\")","v":"Online"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!E572=\"\",\"\",ZOZNAM!E572),\"\")","v":5},{"$f":"IF($A581<>\"\",IF(ZOZNAM!F572=\"\",\"\",ZOZNAM!F572),\"\")","v":5},{"$f":"IF($A581<>\"\",IF(ZOZNAM!G572=\"\",\"\",ZOZNAM!G572),\"\")","v":"2020-08-10"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!H572=\"\",\"\",ZOZNAM!H572),\"\")","v":"2020-08-14"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!I572=\"\",\"\",ZOZNAM!I572),\"\")","v":"875 GBP"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!J572=\"\",\"\",ZOZNAM!J572),\"\")","v":""},{"$f":"IF($A581<>\"\",IF(ZOZNAM!K572=\"\",\"\",ZOZNAM!K572),\"\")","v":"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9929&EventID=148"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!L572=\"\",\"\",ZOZNAM!L572),\"\")","v":"This course provides a general survey of the methods and techniques that can be applied to the analysis of panel and/or time-series-cross-sectional (TSCS) data.It aims to equip you with theoretical knowledge and practical skills related to panel data so that you can investigate economic, political and social phenomena scientifically and provide answers to your own research questions."},{"$f":"IF($A581<>\"\",IF(ZOZNAM!M572=\"\",\"\",ZOZNAM!M572),\"\")","v":"This course builds on OLS regression and extends it to data with a panel or TSCS structure. You should be familiar with basic theories of OLS, up to multiple regression.To participate meaningfully in the lab sessions, you should also have basic knowledge of Stata and/or R. Some background in linear algebra would be helpful but is not required or assumed."},{"$f":"IF($A581<>\"\",IF(ZOZNAM!N572=\"\",\"\",ZOZNAM!N572),\"\")","v":"nie"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!O572=\"\",\"\",ZOZNAM!O572),\"\")","v":"nie"},{"$f":"IF($A581<>\"\",IF(ZOZNAM!P572=\"\",\"\",ZOZNAM!P572),\"\")","v":""},{"$f":"IF($A581<>\"\",IF(ZOZNAM!Q572=\"\",\"\",ZOZNAM!Q572),\"\")","v":""},{"$f":"IF($A581<>\"\",IF(ZOZNAM!R572=\"\",\"\",ZOZNAM!R572),\"\")","v":""},{"$f":"IF($A581<>\"\",IF(ZOZNAM!S572=\"\",\"\",ZOZNAM!S572),\"\")","v":""},{"$f":"IF($A581<>\"\",IF(ZOZNAM!T572=\"\",\"\",ZOZNAM!T572),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C573)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C573)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C573)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C573)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C573)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C573)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L573)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L573)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L573)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L573)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L573)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L573)),FALSE))),ZOZNAM!G573>=$C$9),ZOZNAM!A573,\"\")","v":"GE214"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!B573=\"\",\"\",ZOZNAM!B573),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!C573=\"\",\"\",ZOZNAM!C573),\"\")","v":"Applied Multiple Imputation"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!D573=\"\",\"\",ZOZNAM!D573),\"\")","v":"Online"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!E573=\"\",\"\",ZOZNAM!E573),\"\")","v":5},{"$f":"IF($A582<>\"\",IF(ZOZNAM!F573=\"\",\"\",ZOZNAM!F573),\"\")","v":5},{"$f":"IF($A582<>\"\",IF(ZOZNAM!G573=\"\",\"\",ZOZNAM!G573),\"\")","v":"2020-08-10"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!H573=\"\",\"\",ZOZNAM!H573),\"\")","v":"2020-08-14"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!I573=\"\",\"\",ZOZNAM!I573),\"\")","v":"600 EUR"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!J573=\"\",\"\",ZOZNAM!J573),\"\")","v":"2020-07-08"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!K573=\"\",\"\",ZOZNAM!K573),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x6EC332D84D51414BA8CB58669F1AAADA"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!L573=\"\",\"\",ZOZNAM!L573),\"\")","v":"The goals of the course are to introduce participants to the basic concepts and statistical foundations of missing data analysis and MI, and to enable them to use MI in their own work. The course puts heavy emphasis on the practical application of MI and on the complex decisions and challenges that researchers are facing in its course. The focus is on MI using iterated chained equations (aka “fully conditional specification”) and its implementation in the software package Stata. Participants should have a good working knowledge of Stata to follow the applied parts of the course and to successfully master the exercises. Participants who are not familiar with Stata may still benefit from the course, but will likely find the exercises quite challenging."},{"$f":"IF($A582<>\"\",IF(ZOZNAM!M573=\"\",\"\",ZOZNAM!M573),\"\")","v":"Prerequisites: Experience in the analysis of quantitative data, Good knowledge of regression analysis, Good working knowledge of Stata, Basic understanding of probability theory and sampling"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!N573=\"\",\"\",ZOZNAM!N573),\"\")","v":"nie"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!O573=\"\",\"\",ZOZNAM!O573),\"\")","v":"nie"},{"$f":"IF($A582<>\"\",IF(ZOZNAM!P573=\"\",\"\",ZOZNAM!P573),\"\")","v":2.5},{"$f":"IF($A582<>\"\",IF(ZOZNAM!Q573=\"\",\"\",ZOZNAM!Q573),\"\")","v":""},{"$f":"IF($A582<>\"\",IF(ZOZNAM!R573=\"\",\"\",ZOZNAM!R573),\"\")","v":""},{"$f":"IF($A582<>\"\",IF(ZOZNAM!S573=\"\",\"\",ZOZNAM!S573),\"\")","v":""},{"$f":"IF($A582<>\"\",IF(ZOZNAM!T573=\"\",\"\",ZOZNAM!T573),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C574)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C574)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C574)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C574)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C574)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C574)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L574)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L574)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L574)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L574)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L574)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L574)),FALSE))),ZOZNAM!G574>=$C$9),ZOZNAM!A574,\"\")","v":"GE217"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!B574=\"\",\"\",ZOZNAM!B574),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!C574=\"\",\"\",ZOZNAM!C574),\"\")","v":"Introduction to Survey Design"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!D574=\"\",\"\",ZOZNAM!D574),\"\")","v":"Online"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!E574=\"\",\"\",ZOZNAM!E574),\"\")","v":5},{"$f":"IF($A583<>\"\",IF(ZOZNAM!F574=\"\",\"\",ZOZNAM!F574),\"\")","v":5},{"$f":"IF($A583<>\"\",IF(ZOZNAM!G574=\"\",\"\",ZOZNAM!G574),\"\")","v":"2020-08-10"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!H574=\"\",\"\",ZOZNAM!H574),\"\")","v":"2020-08-14"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!I574=\"\",\"\",ZOZNAM!I574),\"\")","v":"600 EUR"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!J574=\"\",\"\",ZOZNAM!J574),\"\")","v":"2020-07-08"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!K574=\"\",\"\",ZOZNAM!K574),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x914C6E08FE534B2CAF56DD955BCDF694"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!L574=\"\",\"\",ZOZNAM!L574),\"\")","v":"This course gives an overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing data quality at each step of the process against associated costs.\nThe course is taught through formal lectures in which the theoretical foundation in the literature is discussed, less formal presentations and discussions of survey design in existing survey research, as well as personal tutorial meetings that give participants the opportunity to discuss exercises and their own survey designs. Each day we will discuss a specific topic that each focuses on one or more aspects of survey design within the Total Survey Error framework. First, the choice of the survey mode is discussed, and how different ways to sample respondents follow from that choice. On the second day, we focus on the issue of survey nonresponse - how to prevent, analyze, and correct for it. On the third and fourth day, the actual survey content is discussed - how to write survey questions, make sure that they measure what they are intended to measure, test them, and finally, how to assess whether survey data are of good quality. On the final day, we focus on data coding and maximizing quality. We conclude with an overview perspective of all survey errors and their interaction with survey costs.\nThe course will be applicable to surveys of individuals, households, and organizations in different survey modes: mail, face-to-face, web, and paper-and-pencil surveys.\nA detailed syllabus for this course is available for download here."},{"$f":"IF($A583<>\"\",IF(ZOZNAM!M574=\"\",\"\",ZOZNAM!M574),\"\")","v":"No previous experience in survey research is needed; however, some practical experience in conducting surveys and analyzing data will be beneficial.\nA basic understanding of statistics is assumed, at the level of basic inferential statistics (t-tests).\nAll students need to send a brief summary of their experience with surveys (about 0.5 page) and the questions they have about how to design surveys before the start of the course to the instructors, at the latest on August 7, 2020.\n"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!N574=\"\",\"\",ZOZNAM!N574),\"\")","v":"nie"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!O574=\"\",\"\",ZOZNAM!O574),\"\")","v":"nie"},{"$f":"IF($A583<>\"\",IF(ZOZNAM!P574=\"\",\"\",ZOZNAM!P574),\"\")","v":2.5},{"$f":"IF($A583<>\"\",IF(ZOZNAM!Q574=\"\",\"\",ZOZNAM!Q574),\"\")","v":""},{"$f":"IF($A583<>\"\",IF(ZOZNAM!R574=\"\",\"\",ZOZNAM!R574),\"\")","v":""},{"$f":"IF($A583<>\"\",IF(ZOZNAM!S574=\"\",\"\",ZOZNAM!S574),\"\")","v":""},{"$f":"IF($A583<>\"\",IF(ZOZNAM!T574=\"\",\"\",ZOZNAM!T574),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C575)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C575)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C575)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C575)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C575)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C575)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L575)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L575)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L575)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L575)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L575)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L575)),FALSE))),ZOZNAM!G575>=$C$9),ZOZNAM!A575,\"\")","v":"MG001"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!B575=\"\",\"\",ZOZNAM!B575),\"\")","v":"Maastricht Graduate School of Governance"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!C575=\"\",\"\",ZOZNAM!C575),\"\")","v":"Introduction to Impact Evaluation of Policies and Programmes"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!D575=\"\",\"\",ZOZNAM!D575),\"\")","v":"Online"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!E575=\"\",\"\",ZOZNAM!E575),\"\")","v":38},{"$f":"IF($A584<>\"\",IF(ZOZNAM!F575=\"\",\"\",ZOZNAM!F575),\"\")","v":54},{"$f":"IF($A584<>\"\",IF(ZOZNAM!G575=\"\",\"\",ZOZNAM!G575),\"\")","v":"2020-08-10"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!H575=\"\",\"\",ZOZNAM!H575),\"\")","v":"2020-10-02"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!I575=\"\",\"\",ZOZNAM!I575),\"\")","v":"500 EUR"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!J575=\"\",\"\",ZOZNAM!J575),\"\")","v":""},{"$f":"IF($A584<>\"\",IF(ZOZNAM!K575=\"\",\"\",ZOZNAM!K575),\"\")","v":"https://www.merit.unu.edu/training/online-courses/introduction-to-impact-evaluation-of-policies-and-programmes/"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!L575=\"\",\"\",ZOZNAM!L575),\"\")","v":"In this course you will learn how to conduct a rigorous impact evaluation of a development policy, programme or intervention. The course aims to enable participants to understand how to quantify the causal effect of interventions by carefully understanding attribution and the practical applications of methodologies. The course takes you through several steps of conceptualising an evaluation, understanding the pathways of change, understanding the different methodologies for conducting impact evaluation and choosing the most appropriate methodology given the set of circumstances.  You will be introduced to the quantitative techniques of impact evaluation and learn about their weaknesses and strengths and appropriateness to real-life evaluation scenarios."},{"$f":"IF($A584<>\"\",IF(ZOZNAM!M575=\"\",\"\",ZOZNAM!M575),\"\")","v":"Upon registration, you will be enrolled for 8 weeks, including 1 week to access the platform and become familiar with the materials, 4 weeks of coursework, 1 week to submit the final assignment and 3 weeks for potential resit time.\nIn case you prefer to use the 8 weeks in a different way, please agree with your tutor during your first exchange."},{"$f":"IF($A584<>\"\",IF(ZOZNAM!N575=\"\",\"\",ZOZNAM!N575),\"\")","v":"nie"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!O575=\"\",\"\",ZOZNAM!O575),\"\")","v":"áno"},{"$f":"IF($A584<>\"\",IF(ZOZNAM!P575=\"\",\"\",ZOZNAM!P575),\"\")","v":""},{"$f":"IF($A584<>\"\",IF(ZOZNAM!Q575=\"\",\"\",ZOZNAM!Q575),\"\")","v":""},{"$f":"IF($A584<>\"\",IF(ZOZNAM!R575=\"\",\"\",ZOZNAM!R575),\"\")","v":""},{"$f":"IF($A584<>\"\",IF(ZOZNAM!S575=\"\",\"\",ZOZNAM!S575),\"\")","v":""},{"$f":"IF($A584<>\"\",IF(ZOZNAM!T575=\"\",\"\",ZOZNAM!T575),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C576)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C576)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C576)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C576)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C576)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C576)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L576)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L576)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L576)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L576)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L576)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L576)),FALSE))),ZOZNAM!G576>=$C$9),ZOZNAM!A576,\"\")","v":"MG002"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!B576=\"\",\"\",ZOZNAM!B576),\"\")","v":"Maastricht Graduate School of Governance"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!C576=\"\",\"\",ZOZNAM!C576),\"\")","v":"Impact Evaluation of Policies and Programmes: Estimation and Analysis of Causal Impacts"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!D576=\"\",\"\",ZOZNAM!D576),\"\")","v":"Online"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!E576=\"\",\"\",ZOZNAM!E576),\"\")","v":38},{"$f":"IF($A585<>\"\",IF(ZOZNAM!F576=\"\",\"\",ZOZNAM!F576),\"\")","v":54},{"$f":"IF($A585<>\"\",IF(ZOZNAM!G576=\"\",\"\",ZOZNAM!G576),\"\")","v":"2020-08-10"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!H576=\"\",\"\",ZOZNAM!H576),\"\")","v":"2020-10-02"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!I576=\"\",\"\",ZOZNAM!I576),\"\")","v":"500 EUR"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!J576=\"\",\"\",ZOZNAM!J576),\"\")","v":""},{"$f":"IF($A585<>\"\",IF(ZOZNAM!K576=\"\",\"\",ZOZNAM!K576),\"\")","v":"https://www.merit.unu.edu/training/online-courses/impact-evaluation/"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!L576=\"\",\"\",ZOZNAM!L576),\"\")","v":"Audiovisual lessons will be provided together with datasets and step-by-step analysis guides to using various impact evaluation techniques in Stata software. Lessons and case studies will give participants a knowledge base to help them understand the applicability of methods to a given set of circumstances. The final assignment/exam, will put the student’s newly acquired skills to the test by presenting her/him with a dataset and the task to perform a mock impact evaluation. Interested students should have intermediate knowledge of statistical analyses or econometrics. For example, they should already know how to obtain descriptive statistics, conduct t-tests and basic regression analysis.  They should also be familiar with the Stata data processing and data analysis software."},{"$f":"IF($A585<>\"\",IF(ZOZNAM!M576=\"\",\"\",ZOZNAM!M576),\"\")","v":"Prerequisites: A Master degree (or equivalent) in Social Sciences. Knowledge in econometric analysis. Basic understanding of impact evaluation purposes and methods.\n **Please note that the course is a follow up to our “Introduction to Impact Evaluations of Policies and Programmes” course. That course contains materials on when to do an impact evaluation, what it allows you to conclude, and what forms of evaluation exist. It does not include materials or exercises in which you will do an impact evaluation yourself. The online course “Impact Evaluation of Policies and Programmes Estimation and Analysis of Causal Impacts” is designed as a follow-up to this course and offers exercises in how to do an econometric impact evaluation. In case you lack basic understanding of what an impact analysis is or how to interpret impact analysis outcome data, we recommend you to take the introduction course first.Upon registration, you will be enrolled for 8 weeks, including 1 week to access the platform and become familiar with the materials, 4 weeks of coursework, 1 week to submit the final assignment and 3 weeks for potential resit time.\nIn case you prefer to use the 8 weeks in a different way, please agree with your tutor during your first exchange."},{"$f":"IF($A585<>\"\",IF(ZOZNAM!N576=\"\",\"\",ZOZNAM!N576),\"\")","v":"nie"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!O576=\"\",\"\",ZOZNAM!O576),\"\")","v":"áno"},{"$f":"IF($A585<>\"\",IF(ZOZNAM!P576=\"\",\"\",ZOZNAM!P576),\"\")","v":""},{"$f":"IF($A585<>\"\",IF(ZOZNAM!Q576=\"\",\"\",ZOZNAM!Q576),\"\")","v":""},{"$f":"IF($A585<>\"\",IF(ZOZNAM!R576=\"\",\"\",ZOZNAM!R576),\"\")","v":""},{"$f":"IF($A585<>\"\",IF(ZOZNAM!S576=\"\",\"\",ZOZNAM!S576),\"\")","v":""},{"$f":"IF($A585<>\"\",IF(ZOZNAM!T576=\"\",\"\",ZOZNAM!T576),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C577)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C577)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C577)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C577)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C577)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C577)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L577)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L577)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L577)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L577)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L577)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L577)),FALSE))),ZOZNAM!G577>=$C$9),ZOZNAM!A577,\"\")","v":"TI291"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!B577=\"\",\"\",ZOZNAM!B577),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!C577=\"\",\"\",ZOZNAM!C577),\"\")","v":"Causal Inference using Stata "},{"$f":"IF($A586<>\"\",IF(ZOZNAM!D577=\"\",\"\",ZOZNAM!D577),\"\")","v":"Online"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!E577=\"\",\"\",ZOZNAM!E577),\"\")","v":1},{"$f":"IF($A586<>\"\",IF(ZOZNAM!F577=\"\",\"\",ZOZNAM!F577),\"\")","v":1},{"$f":"IF($A586<>\"\",IF(ZOZNAM!G577=\"\",\"\",ZOZNAM!G577),\"\")","v":"2020-08-10"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!H577=\"\",\"\",ZOZNAM!H577),\"\")","v":"2020-08-10"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!I577=\"\",\"\",ZOZNAM!I577),\"\")","v":"235 GBP"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!J577=\"\",\"\",ZOZNAM!J577),\"\")","v":"2020-08-08"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!K577=\"\",\"\",ZOZNAM!K577),\"\")","v":"https://www.timberlake.co.uk/courses/causal-inference-using-stata-online.html"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!L577=\"\",\"\",ZOZNAM!L577),\"\")","v":"This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata. \n\nThe course assumes limited statistical knowledge and only some experience of using statistical software. The participants will be introduced to Stata and causal inference using practical examples. \n\nThe fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques. Then, the participants will be introduced to the main data analysis tools related to regression, including linear and logistic regression, local polynomial regression, and related machine learning approaches. \n\nParticipants will apply these methods to specially chosen datasets using data from economics and medical research. Participants will learn about quasi-experimental methods (via simulation of bias and variance properties, and hands-on examples) for propensity score matching and reweighting, panel methods including difference-in-difference designs, instrumental variables, and regression discontinuity.\n"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!M577=\"\",\"\",ZOZNAM!M577),\"\")","v":"Apply and pay before 9 August 2020"},{"$f":"IF($A586<>\"\",IF(ZOZNAM!N577=\"\",\"\",ZOZNAM!N577),\"\")","v":""},{"$f":"IF($A586<>\"\",IF(ZOZNAM!O577=\"\",\"\",ZOZNAM!O577),\"\")","v":""},{"$f":"IF($A586<>\"\",IF(ZOZNAM!P577=\"\",\"\",ZOZNAM!P577),\"\")","v":2},{"$f":"IF($A586<>\"\",IF(ZOZNAM!Q577=\"\",\"\",ZOZNAM!Q577),\"\")","v":""},{"$f":"IF($A586<>\"\",IF(ZOZNAM!R577=\"\",\"\",ZOZNAM!R577),\"\")","v":""},{"$f":"IF($A586<>\"\",IF(ZOZNAM!S577=\"\",\"\",ZOZNAM!S577),\"\")","v":""},{"$f":"IF($A586<>\"\",IF(ZOZNAM!T577=\"\",\"\",ZOZNAM!T577),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C578)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C578)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C578)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C578)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C578)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C578)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L578)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L578)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L578)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L578)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L578)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L578)),FALSE))),ZOZNAM!G578>=$C$9),ZOZNAM!A578,\"\")","v":"CL018"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!B578=\"\",\"\",ZOZNAM!B578),\"\")","v":"University College London (UCL)"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!C578=\"\",\"\",ZOZNAM!C578),\"\")","v":"Statistical Thinking and Data Analysis: an Introduction (Summer School)"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!D578=\"\",\"\",ZOZNAM!D578),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!E578=\"\",\"\",ZOZNAM!E578),\"\")","v":5},{"$f":"IF($A587<>\"\",IF(ZOZNAM!F578=\"\",\"\",ZOZNAM!F578),\"\")","v":5},{"$f":"IF($A587<>\"\",IF(ZOZNAM!G578=\"\",\"\",ZOZNAM!G578),\"\")","v":"2020-08-10"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!H578=\"\",\"\",ZOZNAM!H578),\"\")","v":"2020-08-14"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!I578=\"\",\"\",ZOZNAM!I578),\"\")","v":"1500 GBP (1730 EUR)"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!J578=\"\",\"\",ZOZNAM!J578),\"\")","v":""},{"$f":"IF($A587<>\"\",IF(ZOZNAM!K578=\"\",\"\",ZOZNAM!K578),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/statistical-thinking-and-data-analysis-introduction-summer-school"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!L578=\"\",\"\",ZOZNAM!L578),\"\")","v":"This five-day summer school will help you interpret published research and perform basic statistical analysis. You'll learn research and quantitative skills - this will enable you to make your own judgements about research results and understand their true meanings. The course will cover the following topics:\nHow to develop a sound research question\nStudy design, sampling and confounding\nTypes of data\nGraphical displays of data and results\nSummarising numeric and categorical data\nQuantifying differences and associations between groups\nHypothesis testing\nConfidence intervals and p-values\nParametric and non-parametric statistical tests\nBootstrapping\nIntroduction to regression"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!M578=\"\",\"\",ZOZNAM!M578),\"\")","v":"The standard price is £1,500.\nAn early bird price of £1,200 is available for bookings made by 13 March 2020.\nThe fee includes:\na welcome pack\nprinted course materials\nrefreshments and lunches\nsocial events\nThe fee doesn't cover accommodation, which you'll need to arrange yourself."},{"$f":"IF($A587<>\"\",IF(ZOZNAM!N578=\"\",\"\",ZOZNAM!N578),\"\")","v":"nie"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!O578=\"\",\"\",ZOZNAM!O578),\"\")","v":"nie"},{"$f":"IF($A587<>\"\",IF(ZOZNAM!P578=\"\",\"\",ZOZNAM!P578),\"\")","v":""},{"$f":"IF($A587<>\"\",IF(ZOZNAM!Q578=\"\",\"\",ZOZNAM!Q578),\"\")","v":""},{"$f":"IF($A587<>\"\",IF(ZOZNAM!R578=\"\",\"\",ZOZNAM!R578),\"\")","v":""},{"$f":"IF($A587<>\"\",IF(ZOZNAM!S578=\"\",\"\",ZOZNAM!S578),\"\")","v":""},{"$f":"IF($A587<>\"\",IF(ZOZNAM!T578=\"\",\"\",ZOZNAM!T578),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C579)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C579)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C579)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C579)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C579)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C579)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L579)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L579)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L579)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L579)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L579)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L579)),FALSE))),ZOZNAM!G579>=$C$9),ZOZNAM!A579,\"\")","v":"UN283"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!B579=\"\",\"\",ZOZNAM!B579),\"\")","v":"University of Copenhagen"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!C579=\"\",\"\",ZOZNAM!C579),\"\")","v":"Market access for pharmaceutical products - trends and challenges"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!D579=\"\",\"\",ZOZNAM!D579),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!E579=\"\",\"\",ZOZNAM!E579),\"\")","v":5},{"$f":"IF($A588<>\"\",IF(ZOZNAM!F579=\"\",\"\",ZOZNAM!F579),\"\")","v":5},{"$f":"IF($A588<>\"\",IF(ZOZNAM!G579=\"\",\"\",ZOZNAM!G579),\"\")","v":"2020-08-10"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!H579=\"\",\"\",ZOZNAM!H579),\"\")","v":"2020-08-14"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!I579=\"\",\"\",ZOZNAM!I579),\"\")","v":"2680 EUR + Danish VAT"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!J579=\"\",\"\",ZOZNAM!J579),\"\")","v":"2020-05-31"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!K579=\"\",\"\",ZOZNAM!K579),\"\")","v":"https://copenhagensummeruniversity.ku.dk/en/course/market-access/"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!L579=\"\",\"\",ZOZNAM!L579),\"\")","v":"On the course, you will increase your capacity to understand and deal with crucial Market Access issues. You will learn about key trends in Market Access, how Market Access decisions are made, and how these decision-making frameworks affect evidence-based requirements for new health care interventions.\n\nYou will:\n\nAcquire a basic market access vocabulary\nGet an overview of the key challenges involved in Market Access\nIdentify the key stakeholders and their influence on the drug reimbursement and prescription process in some of the most important markets (e.g. USA, UK, Germany, Italy and France)\nGain an understanding of payers’ perspectives of key markets and of new reimbursement models impacting Market Access\nIntegrate skills enabling you to demonstrate product value\nDiscuss new aspects of Market Access like digital health and Value-Based Health Care"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!M579=\"\",\"\",ZOZNAM!M579),\"\")","v":"The price includes tuition, course material and all meals during course hours.\nParticipants must:\nHold a relevant bachelor degree or equivalent\nHave a minimum of 2 years of relevant job experience\nBe proficient in English\nAn optional examination is available."},{"$f":"IF($A588<>\"\",IF(ZOZNAM!N579=\"\",\"\",ZOZNAM!N579),\"\")","v":"nie"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!O579=\"\",\"\",ZOZNAM!O579),\"\")","v":"nie"},{"$f":"IF($A588<>\"\",IF(ZOZNAM!P579=\"\",\"\",ZOZNAM!P579),\"\")","v":""},{"$f":"IF($A588<>\"\",IF(ZOZNAM!Q579=\"\",\"\",ZOZNAM!Q579),\"\")","v":""},{"$f":"IF($A588<>\"\",IF(ZOZNAM!R579=\"\",\"\",ZOZNAM!R579),\"\")","v":""},{"$f":"IF($A588<>\"\",IF(ZOZNAM!S579=\"\",\"\",ZOZNAM!S579),\"\")","v":""},{"$f":"IF($A588<>\"\",IF(ZOZNAM!T579=\"\",\"\",ZOZNAM!T579),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C580)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C580)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C580)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C580)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C580)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C580)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L580)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L580)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L580)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L580)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L580)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L580)),FALSE))),ZOZNAM!G580>=$C$9),ZOZNAM!A580,\"\")","v":"UN284"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!B580=\"\",\"\",ZOZNAM!B580),\"\")","v":"University of Copenhagen"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!C580=\"\",\"\",ZOZNAM!C580),\"\")","v":"Applied machine learning and big data analysis"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!D580=\"\",\"\",ZOZNAM!D580),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!E580=\"\",\"\",ZOZNAM!E580),\"\")","v":5},{"$f":"IF($A589<>\"\",IF(ZOZNAM!F580=\"\",\"\",ZOZNAM!F580),\"\")","v":5},{"$f":"IF($A589<>\"\",IF(ZOZNAM!G580=\"\",\"\",ZOZNAM!G580),\"\")","v":"2020-08-10"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!H580=\"\",\"\",ZOZNAM!H580),\"\")","v":"2020-08-14"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!I580=\"\",\"\",ZOZNAM!I580),\"\")","v":"2680 EUR + Danish VAT"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!J580=\"\",\"\",ZOZNAM!J580),\"\")","v":"2020-05-31"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!K580=\"\",\"\",ZOZNAM!K580),\"\")","v":"https://copenhagensummeruniversity.ku.dk/en/course/applied-machine-learning-and-big-data-analysis/"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!L580=\"\",\"\",ZOZNAM!L580),\"\")","v":"After the course you will:\n\nBe able to set up a basic Machine Learning Analysis from beginning to end: from retrieving and cleaning the data, to setting the information level, extracting patterns and finding outliers, to curating the necessary data.\nGet acquainted with a number of advanced tools for data cleaning, statistical analysis of very large datasets, data stream analysis, finding patterns and outliers in Big Data, collecting data from instruments and devices (e.g. internet of things (IoT)) and for using hardware systems design for efficient handling and analysis of Big Data."},{"$f":"IF($A589<>\"\",IF(ZOZNAM!M580=\"\",\"\",ZOZNAM!M580),\"\")","v":"The price includes tuition, course material and all meals during course hours."},{"$f":"IF($A589<>\"\",IF(ZOZNAM!N580=\"\",\"\",ZOZNAM!N580),\"\")","v":"nie"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!O580=\"\",\"\",ZOZNAM!O580),\"\")","v":"nie"},{"$f":"IF($A589<>\"\",IF(ZOZNAM!P580=\"\",\"\",ZOZNAM!P580),\"\")","v":""},{"$f":"IF($A589<>\"\",IF(ZOZNAM!Q580=\"\",\"\",ZOZNAM!Q580),\"\")","v":""},{"$f":"IF($A589<>\"\",IF(ZOZNAM!R580=\"\",\"\",ZOZNAM!R580),\"\")","v":""},{"$f":"IF($A589<>\"\",IF(ZOZNAM!S580=\"\",\"\",ZOZNAM!S580),\"\")","v":""},{"$f":"IF($A589<>\"\",IF(ZOZNAM!T580=\"\",\"\",ZOZNAM!T580),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C581)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C581)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C581)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C581)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C581)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C581)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L581)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L581)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L581)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L581)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L581)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L581)),FALSE))),ZOZNAM!G581>=$C$9),ZOZNAM!A581,\"\")","v":"UN285"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!B581=\"\",\"\",ZOZNAM!B581),\"\")","v":"University of Copenhagen"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!C581=\"\",\"\",ZOZNAM!C581),\"\")","v":"Deep Learning"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!D581=\"\",\"\",ZOZNAM!D581),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!E581=\"\",\"\",ZOZNAM!E581),\"\")","v":5},{"$f":"IF($A590<>\"\",IF(ZOZNAM!F581=\"\",\"\",ZOZNAM!F581),\"\")","v":5},{"$f":"IF($A590<>\"\",IF(ZOZNAM!G581=\"\",\"\",ZOZNAM!G581),\"\")","v":"2020-08-10"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!H581=\"\",\"\",ZOZNAM!H581),\"\")","v":"2020-08-14"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!I581=\"\",\"\",ZOZNAM!I581),\"\")","v":"2680 EUR + Danish VAT"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!J581=\"\",\"\",ZOZNAM!J581),\"\")","v":"2020-05-31"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!K581=\"\",\"\",ZOZNAM!K581),\"\")","v":"https://copenhagensummeruniversity.ku.dk/kursus/deeplearning/"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!L581=\"\",\"\",ZOZNAM!L581),\"\")","v":"By completing the course, you will be able to set up and use basic deep learning techniques. You will learn how to use deep convolutional neural networks and recurrent neural networks for image, text, and time series analysis tasks. You will also become acquainted with advanced tools and become familiar with using appropriate computational resources to train and apply deep learning models.\n\nThe course will also teach you the theoretical foundations of deep neural networks, which will provide you with the understanding necessary for adapting and successfully applying deep learning in your own applications."},{"$f":"IF($A590<>\"\",IF(ZOZNAM!M581=\"\",\"\",ZOZNAM!M581),\"\")","v":"Data analysis and programming experience required. The price includes tuition, course material and all meals during course hours."},{"$f":"IF($A590<>\"\",IF(ZOZNAM!N581=\"\",\"\",ZOZNAM!N581),\"\")","v":"nie"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!O581=\"\",\"\",ZOZNAM!O581),\"\")","v":"nie"},{"$f":"IF($A590<>\"\",IF(ZOZNAM!P581=\"\",\"\",ZOZNAM!P581),\"\")","v":""},{"$f":"IF($A590<>\"\",IF(ZOZNAM!Q581=\"\",\"\",ZOZNAM!Q581),\"\")","v":""},{"$f":"IF($A590<>\"\",IF(ZOZNAM!R581=\"\",\"\",ZOZNAM!R581),\"\")","v":""},{"$f":"IF($A590<>\"\",IF(ZOZNAM!S581=\"\",\"\",ZOZNAM!S581),\"\")","v":""},{"$f":"IF($A590<>\"\",IF(ZOZNAM!T581=\"\",\"\",ZOZNAM!T581),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C582)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C582)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C582)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C582)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C582)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C582)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L582)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L582)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L582)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L582)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L582)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L582)),FALSE))),ZOZNAM!G582>=$C$9),ZOZNAM!A582,\"\")","v":"GE215"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!B582=\"\",\"\",ZOZNAM!B582),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!C582=\"\",\"\",ZOZNAM!C582),\"\")","v":"Applied Systematic Review and Meta-Analysis"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!D582=\"\",\"\",ZOZNAM!D582),\"\")","v":"Online"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!E582=\"\",\"\",ZOZNAM!E582),\"\")","v":3},{"$f":"IF($A591<>\"\",IF(ZOZNAM!F582=\"\",\"\",ZOZNAM!F582),\"\")","v":3},{"$f":"IF($A591<>\"\",IF(ZOZNAM!G582=\"\",\"\",ZOZNAM!G582),\"\")","v":"2020-08-12"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!H582=\"\",\"\",ZOZNAM!H582),\"\")","v":"2020-08-14"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!I582=\"\",\"\",ZOZNAM!I582),\"\")","v":"240 EUR"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!J582=\"\",\"\",ZOZNAM!J582),\"\")","v":"2020-07-08"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!K582=\"\",\"\",ZOZNAM!K582),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xB8755441D3EA488BABF4223708343586"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!L582=\"\",\"\",ZOZNAM!L582),\"\")","v":"Participants will find the course useful if: They are planning to or currently working on a Master/PhD thesis, or a scientific publication in social sciences or survey methodology using research synthesis methods (systematic review or meta-analysis).They want to gain a better understanding of the pros and cons of the method when evaluating meta-analytical results. However, in this course participants are encouraged to work on their own projects and perform all the different steps of systematically synthesising evidence for their research problem. By the end of the course participants will be able to: define a review question and understand how to develop a review protocol and the key stages of the systematic review process, develop a search strategy to identify relevant studies for a specific review question, understand how to conduct a comprehensive literature search, apply eligibility criteria to identify relevant studies, understand how to perform a meta-analysis and how to present the results of a meta-analysis, conduct a basic meta-analysis and meta-regressions using the free software package R and R's metafor package."},{"$f":"IF($A591<>\"\",IF(ZOZNAM!M582=\"\",\"\",ZOZNAM!M582),\"\")","v":"Prerequisites: Participants are expected to have a working forthcoming project that necessitates knowledge in systematic reviews or meta-analyses. Participants are expected to have a good working knowledge of statistics at an undergraduate level, e.g. statistical inference (standard error, confidence interval), bivariate statistics (correlation coefficient, mean differences, odds ratio) as well as a basic understanding of (linear) regression analysis and ANOVA. Participants are interested in any subtopic in social research or survey methodology. Participates are expected to install R, and preferably RStudio, as well as the metafor package, on their computers. Please see the “Software and Hardware Requirements” section below for more information."},{"$f":"IF($A591<>\"\",IF(ZOZNAM!N582=\"\",\"\",ZOZNAM!N582),\"\")","v":"nie"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!O582=\"\",\"\",ZOZNAM!O582),\"\")","v":"nie"},{"$f":"IF($A591<>\"\",IF(ZOZNAM!P582=\"\",\"\",ZOZNAM!P582),\"\")","v":2.5},{"$f":"IF($A591<>\"\",IF(ZOZNAM!Q582=\"\",\"\",ZOZNAM!Q582),\"\")","v":""},{"$f":"IF($A591<>\"\",IF(ZOZNAM!R582=\"\",\"\",ZOZNAM!R582),\"\")","v":""},{"$f":"IF($A591<>\"\",IF(ZOZNAM!S582=\"\",\"\",ZOZNAM!S582),\"\")","v":""},{"$f":"IF($A591<>\"\",IF(ZOZNAM!T582=\"\",\"\",ZOZNAM!T582),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C583)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C583)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C583)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C583)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C583)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C583)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L583)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L583)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L583)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L583)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L583)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L583)),FALSE))),ZOZNAM!G583>=$C$9),ZOZNAM!A583,\"\")","v":"LO238"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!B583=\"\",\"\",ZOZNAM!B583),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!C583=\"\",\"\",ZOZNAM!C583),\"\")","v":"Regulation: Theory, Strategy, and Practice"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!D583=\"\",\"\",ZOZNAM!D583),\"\")","v":"Online"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!E583=\"\",\"\",ZOZNAM!E583),\"\")","v":49},{"$f":"IF($A592<>\"\",IF(ZOZNAM!F583=\"\",\"\",ZOZNAM!F583),\"\")","v":71},{"$f":"IF($A592<>\"\",IF(ZOZNAM!G583=\"\",\"\",ZOZNAM!G583),\"\")","v":"2020-08-12"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!H583=\"\",\"\",ZOZNAM!H583),\"\")","v":"2020-10-21"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!I583=\"\",\"\",ZOZNAM!I583),\"\")","v":"2 200 GBP"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!J583=\"\",\"\",ZOZNAM!J583),\"\")","v":"2020-08-04"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!K583=\"\",\"\",ZOZNAM!K583),\"\")","v":"http://www.lse.ac.uk/study-at-lse/Online-learning/Courses/Regulation-Theory-Strategy-and-Practice"},{"$f":"IF($A592<>\"\",IF(ZOZNAM!L583=\"\",\"\",ZOZNAM!L583),\"\")","v":"As the regulatory landscape continues to evolve, a sound understanding of the field is of equal value to those who work within regulatory organisations and those who are subject to regulation.\n\nThe LSE Regulation: Theory, Strategy, and Practice online certificate course offers an engaging, multidisciplinary look at the topic of regulation. You’ll engage with a cross-sectoral, contextualised approach to learning that will enable you to think critically about the regulatory environment as a whole. As a business leader, this will empower you to address regulatory change and its potential challenges, and in turn enhance your performance. Those working within the regulatory space will gain the knowledge and frameworks to critically examine and design regulatory systems and responses.\n\nThe course aligns theory with the real world as it considers regulation through a practical lens, while still drawing on research-based academic material from LSE Law – one of the world's top law schools with an international reputation for the quality of its teaching and legal research.\n\nOver eight weeks, you’ll unpack the different drivers of regulation and learn how to improve accountability in regulation through transparency and public participation. You’ll also examine transnational regulation and the opportunities and challenges it brings as well as the links between risk and regulation."},{"$f":"IF($A592<>\"\",IF(ZOZNAM!M583=\"\",\"\",ZOZNAM!M583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!N583=\"\",\"\",ZOZNAM!N583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!O583=\"\",\"\",ZOZNAM!O583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!P583=\"\",\"\",ZOZNAM!P583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!Q583=\"\",\"\",ZOZNAM!Q583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!R583=\"\",\"\",ZOZNAM!R583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!S583=\"\",\"\",ZOZNAM!S583),\"\")","v":""},{"$f":"IF($A592<>\"\",IF(ZOZNAM!T583=\"\",\"\",ZOZNAM!T583),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C584)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C584)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C584)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C584)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C584)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C584)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L584)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L584)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L584)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L584)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L584)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L584)),FALSE))),ZOZNAM!G584>=$C$9),ZOZNAM!A584,\"\")","v":"IB001"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!B584=\"\",\"\",ZOZNAM!B584),\"\")","v":"Imperial College Business School"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!C584=\"\",\"\",ZOZNAM!C584),\"\")","v":"Fintech Pogramme"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!D584=\"\",\"\",ZOZNAM!D584),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!E584=\"\",\"\",ZOZNAM!E584),\"\")","v":2},{"$f":"IF($A593<>\"\",IF(ZOZNAM!F584=\"\",\"\",ZOZNAM!F584),\"\")","v":2},{"$f":"IF($A593<>\"\",IF(ZOZNAM!G584=\"\",\"\",ZOZNAM!G584),\"\")","v":"2020-06-01"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!H584=\"\",\"\",ZOZNAM!H584),\"\")","v":"2020-06-02"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!I584=\"\",\"\",ZOZNAM!I584),\"\")","v":"2950 GBP (3400 EUR)"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!J584=\"\",\"\",ZOZNAM!J584),\"\")","v":""},{"$f":"IF($A593<>\"\",IF(ZOZNAM!K584=\"\",\"\",ZOZNAM!K584),\"\")","v":"https://www.imperial.ac.uk/business-school/executive-education/open-programmes/fintech-innovative-banking/"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!L584=\"\",\"\",ZOZNAM!L584),\"\")","v":"This immersive two-day Imperial Fintech course develops a hands-on understanding of the different elements of fintech and how they are disrupting financial and banking sectors. The programme introduces participants to the origins of banking and explores how digital transformation has remodelled the sector, creating alternative finance models and a new wave of digital banks.\n\nParticipants will gain insights into the different elements of fintech such as APIs, blockchain and machine learning, and how they can be applied to various financial and banking scenarios. Imperial College Business School finance faculty and fintech industry leaders will blend academic thinking with technological discovery to give a holistic understanding of how the fintech ecosystem operates.  "},{"$f":"IF($A593<>\"\",IF(ZOZNAM!M584=\"\",\"\",ZOZNAM!M584),\"\")","v":""},{"$f":"IF($A593<>\"\",IF(ZOZNAM!N584=\"\",\"\",ZOZNAM!N584),\"\")","v":"nie"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!O584=\"\",\"\",ZOZNAM!O584),\"\")","v":"nie"},{"$f":"IF($A593<>\"\",IF(ZOZNAM!P584=\"\",\"\",ZOZNAM!P584),\"\")","v":""},{"$f":"IF($A593<>\"\",IF(ZOZNAM!Q584=\"\",\"\",ZOZNAM!Q584),\"\")","v":""},{"$f":"IF($A593<>\"\",IF(ZOZNAM!R584=\"\",\"\",ZOZNAM!R584),\"\")","v":""},{"$f":"IF($A593<>\"\",IF(ZOZNAM!S584=\"\",\"\",ZOZNAM!S584),\"\")","v":""},{"$f":"IF($A593<>\"\",IF(ZOZNAM!T584=\"\",\"\",ZOZNAM!T584),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C585)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C585)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C585)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C585)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C585)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C585)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L585)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L585)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L585)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L585)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L585)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L585)),FALSE))),ZOZNAM!G585>=$C$9),ZOZNAM!A585,\"\")","v":"IB002"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!B585=\"\",\"\",ZOZNAM!B585),\"\")","v":"Imperial College Business School"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!C585=\"\",\"\",ZOZNAM!C585),\"\")","v":"Digital Banking Innovation Pogramme"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!D585=\"\",\"\",ZOZNAM!D585),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!E585=\"\",\"\",ZOZNAM!E585),\"\")","v":3},{"$f":"IF($A594<>\"\",IF(ZOZNAM!F585=\"\",\"\",ZOZNAM!F585),\"\")","v":3},{"$f":"IF($A594<>\"\",IF(ZOZNAM!G585=\"\",\"\",ZOZNAM!G585),\"\")","v":"2020-06-03"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!H585=\"\",\"\",ZOZNAM!H585),\"\")","v":"2020-06-05"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!I585=\"\",\"\",ZOZNAM!I585),\"\")","v":"3490 GBP (4025 EUR)"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!J585=\"\",\"\",ZOZNAM!J585),\"\")","v":""},{"$f":"IF($A594<>\"\",IF(ZOZNAM!K585=\"\",\"\",ZOZNAM!K585),\"\")","v":"https://www.imperial.ac.uk/business-school/executive-education/open-programmes/digital-banking-course/"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!L585=\"\",\"\",ZOZNAM!L585),\"\")","v":"Drawing on the latest theories, case studies and practical examples, this three-day Imperial Digital Banking Innovation course explores the challenges and opportunities for digital transformation in the banking sector. Participants will gain a better understanding of the digital banking landscape along with key strategies, business models and approaches to innovation. \n\nYou and your programme peers will think through the key challenges, disruptors and opportunities for banks to transition to a more integrated digital process, from an internal cultural shift all the way through to an 'outside-in' customer approach.  You will have the opportunity to meet and learn from some the digital banking pioneers along the way. "},{"$f":"IF($A594<>\"\",IF(ZOZNAM!M585=\"\",\"\",ZOZNAM!M585),\"\")","v":""},{"$f":"IF($A594<>\"\",IF(ZOZNAM!N585=\"\",\"\",ZOZNAM!N585),\"\")","v":"nie"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!O585=\"\",\"\",ZOZNAM!O585),\"\")","v":"nie"},{"$f":"IF($A594<>\"\",IF(ZOZNAM!P585=\"\",\"\",ZOZNAM!P585),\"\")","v":""},{"$f":"IF($A594<>\"\",IF(ZOZNAM!Q585=\"\",\"\",ZOZNAM!Q585),\"\")","v":""},{"$f":"IF($A594<>\"\",IF(ZOZNAM!R585=\"\",\"\",ZOZNAM!R585),\"\")","v":""},{"$f":"IF($A594<>\"\",IF(ZOZNAM!S585=\"\",\"\",ZOZNAM!S585),\"\")","v":""},{"$f":"IF($A594<>\"\",IF(ZOZNAM!T585=\"\",\"\",ZOZNAM!T585),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C586)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C586)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C586)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C586)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C586)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C586)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L586)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L586)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L586)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L586)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L586)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L586)),FALSE))),ZOZNAM!G586>=$C$9),ZOZNAM!A586,\"\")","v":"MF009"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!B586=\"\",\"\",ZOZNAM!B586),\"\")","v":"International Monetary Fund"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!C586=\"\",\"\",ZOZNAM!C586),\"\")","v":"Financial Development and Financial Inclusion (FDFIx)"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!D586=\"\",\"\",ZOZNAM!D586),\"\")","v":"online"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!E586=\"\",\"\",ZOZNAM!E586),\"\")","v":162},{"$f":"IF($A595<>\"\",IF(ZOZNAM!F586=\"\",\"\",ZOZNAM!F586),\"\")","v":233},{"$f":"IF($A595<>\"\",IF(ZOZNAM!G586=\"\",\"\",ZOZNAM!G586),\"\")","v":"2020-01-12"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!H586=\"\",\"\",ZOZNAM!H586),\"\")","v":"2020-08-31"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!I586=\"\",\"\",ZOZNAM!I586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!J586=\"\",\"\",ZOZNAM!J586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!K586=\"\",\"\",ZOZNAM!K586),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FDFIxOL20-107"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!L586=\"\",\"\",ZOZNAM!L586),\"\")","v":"Upon completion of this course, participants should be able to: Identify a framework for financial market development and financial inclusion, and why they matter for economic growth and development. Measure the degree of financial development and inclusion for a country or countries using a wide range of standard indicators and use benchmarking to compare a country to its peers. Identify strategies and policies to support the development of financial intermediaries and capital markets in a country, considering initial conditions and links between the financial sector and the macroeconomy. Understand the unique challenges SMEs face accessing finance; describe how financial intermediaries can better tailor their products to the needs of the SMEs. Provide standard methodologies for managing risks associated with SME lending; evaluate how government policies can improve the lending environment for SMEs and understand the role of state banks and MDBs, including their role in mitigating risks. Evaluate the benefits and costs of different financial inclusion policies and identify strategies to promote financial inclusion for households and micro-enterprises. Understand various uses of technology in the financial sector (Fintech) and how they could be used to improve the efficiency and inclusiveness of financial services without generating financial instability."},{"$f":"IF($A595<>\"\",IF(ZOZNAM!M586=\"\",\"\",ZOZNAM!M586),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A595<>\"\",IF(ZOZNAM!N586=\"\",\"\",ZOZNAM!N586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!O586=\"\",\"\",ZOZNAM!O586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!P586=\"\",\"\",ZOZNAM!P586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!Q586=\"\",\"\",ZOZNAM!Q586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!R586=\"\",\"\",ZOZNAM!R586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!S586=\"\",\"\",ZOZNAM!S586),\"\")","v":""},{"$f":"IF($A595<>\"\",IF(ZOZNAM!T586=\"\",\"\",ZOZNAM!T586),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C587)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C587)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C587)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C587)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C587)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C587)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L587)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L587)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L587)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L587)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L587)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L587)),FALSE))),ZOZNAM!G587>=$C$9),ZOZNAM!A587,\"\")","v":"MF002"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!B587=\"\",\"\",ZOZNAM!B587),\"\")","v":"International Monetary Fund"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!C587=\"\",\"\",ZOZNAM!C587),\"\")","v":"Compilation Basics for Macroeconomic Statistics"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!D587=\"\",\"\",ZOZNAM!D587),\"\")","v":"online"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!E587=\"\",\"\",ZOZNAM!E587),\"\")","v":160},{"$f":"IF($A596<>\"\",IF(ZOZNAM!F587=\"\",\"\",ZOZNAM!F587),\"\")","v":230},{"$f":"IF($A596<>\"\",IF(ZOZNAM!G587=\"\",\"\",ZOZNAM!G587),\"\")","v":"2020-01-15"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!H587=\"\",\"\",ZOZNAM!H587),\"\")","v":"2020-08-31"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!I587=\"\",\"\",ZOZNAM!I587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!J587=\"\",\"\",ZOZNAM!J587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!K587=\"\",\"\",ZOZNAM!K587),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/CBMSxOL20-104"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!L587=\"\",\"\",ZOZNAM!L587),\"\")","v":"This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics."},{"$f":"IF($A596<>\"\",IF(ZOZNAM!M587=\"\",\"\",ZOZNAM!M587),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A596<>\"\",IF(ZOZNAM!N587=\"\",\"\",ZOZNAM!N587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!O587=\"\",\"\",ZOZNAM!O587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!P587=\"\",\"\",ZOZNAM!P587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!Q587=\"\",\"\",ZOZNAM!Q587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!R587=\"\",\"\",ZOZNAM!R587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!S587=\"\",\"\",ZOZNAM!S587),\"\")","v":""},{"$f":"IF($A596<>\"\",IF(ZOZNAM!T587=\"\",\"\",ZOZNAM!T587),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C588)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C588)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C588)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C588)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C588)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C588)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L588)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L588)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L588)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L588)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L588)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L588)),FALSE))),ZOZNAM!G588>=$C$9),ZOZNAM!A588,\"\")","v":"MF003"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!B588=\"\",\"\",ZOZNAM!B588),\"\")","v":"International Monetary Fund"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!C588=\"\",\"\",ZOZNAM!C588),\"\")","v":"Energy Subsidy Reform (ESRx)"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!D588=\"\",\"\",ZOZNAM!D588),\"\")","v":"online"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!E588=\"\",\"\",ZOZNAM!E588),\"\")","v":160},{"$f":"IF($A597<>\"\",IF(ZOZNAM!F588=\"\",\"\",ZOZNAM!F588),\"\")","v":230},{"$f":"IF($A597<>\"\",IF(ZOZNAM!G588=\"\",\"\",ZOZNAM!G588),\"\")","v":"2020-01-15"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!H588=\"\",\"\",ZOZNAM!H588),\"\")","v":"2020-08-31"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!I588=\"\",\"\",ZOZNAM!I588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!J588=\"\",\"\",ZOZNAM!J588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!K588=\"\",\"\",ZOZNAM!K588),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/ESRxOL20-12"},{"$f":"IF($A597<>\"\",IF(ZOZNAM!L588=\"\",\"\",ZOZNAM!L588),\"\")","v":"This online course, presented by the IMF Institute for Capacity Development and the IMF Fiscal Affairs, Middle East and Central Asia, and Asia and Pacific Departments, builds on extensive cross-country analysis and hands-on experience in design of technical assistance and subsidy reform to make recommendations on how best to reduce energy subsidies.The course introduces the concept of energy subsidies—their definition and measurement—and reviews their economic, social, and environmental implications. It also presents toolkits to assess the distributional effects of alternative subsidy reform scenarios and to design a fuel pricing mechanism. Finally, the course reviews what works best in energy subsidy reform and illustrates successes and failures in terms of particular countries.ESRx was originally designed as a 4-week course with a 6-8 hours weekly workload."},{"$f":"IF($A597<>\"\",IF(ZOZNAM!M588=\"\",\"\",ZOZNAM!M588),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in."},{"$f":"IF($A597<>\"\",IF(ZOZNAM!N588=\"\",\"\",ZOZNAM!N588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!O588=\"\",\"\",ZOZNAM!O588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!P588=\"\",\"\",ZOZNAM!P588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!Q588=\"\",\"\",ZOZNAM!Q588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!R588=\"\",\"\",ZOZNAM!R588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!S588=\"\",\"\",ZOZNAM!S588),\"\")","v":""},{"$f":"IF($A597<>\"\",IF(ZOZNAM!T588=\"\",\"\",ZOZNAM!T588),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C589)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C589)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C589)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C589)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C589)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C589)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L589)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L589)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L589)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L589)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L589)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L589)),FALSE))),ZOZNAM!G589>=$C$9),ZOZNAM!A589,\"\")","v":"MF004"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!B589=\"\",\"\",ZOZNAM!B589),\"\")","v":"International Monetary Fund"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!C589=\"\",\"\",ZOZNAM!C589),\"\")","v":"Financial Market Analysis (FMAx)"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!D589=\"\",\"\",ZOZNAM!D589),\"\")","v":"online"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!E589=\"\",\"\",ZOZNAM!E589),\"\")","v":160},{"$f":"IF($A598<>\"\",IF(ZOZNAM!F589=\"\",\"\",ZOZNAM!F589),\"\")","v":230},{"$f":"IF($A598<>\"\",IF(ZOZNAM!G589=\"\",\"\",ZOZNAM!G589),\"\")","v":"2020-01-15"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!H589=\"\",\"\",ZOZNAM!H589),\"\")","v":"2020-08-31"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!I589=\"\",\"\",ZOZNAM!I589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!J589=\"\",\"\",ZOZNAM!J589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!K589=\"\",\"\",ZOZNAM!K589),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FMAxOL20-09"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!L589=\"\",\"\",ZOZNAM!L589),\"\")","v":"This online course, presented by the Institute for Capacity Development, introduces participants to the fundamentals of financial analysis that are in the toolkit of policy makers. These tools are used to study the characteristics of various financial instruments and their pricing, analyze portfolios of assets, gaining familiarity with the basics of risk management. Mastery is essential for participants who wish to participate in more advanced and policy-oriented IMF courses in financial or macrofinancial areas. The FMAx course covers, among other topics, the pricing of fixed-income securities and equity; the term structure of interest rates; portfolio allocation and diversification; and an introduction to risk management."},{"$f":"IF($A598<>\"\",IF(ZOZNAM!M589=\"\",\"\",ZOZNAM!M589),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A598<>\"\",IF(ZOZNAM!N589=\"\",\"\",ZOZNAM!N589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!O589=\"\",\"\",ZOZNAM!O589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!P589=\"\",\"\",ZOZNAM!P589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!Q589=\"\",\"\",ZOZNAM!Q589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!R589=\"\",\"\",ZOZNAM!R589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!S589=\"\",\"\",ZOZNAM!S589),\"\")","v":""},{"$f":"IF($A598<>\"\",IF(ZOZNAM!T589=\"\",\"\",ZOZNAM!T589),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C590)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C590)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C590)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C590)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C590)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C590)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L590)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L590)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L590)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L590)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L590)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L590)),FALSE))),ZOZNAM!G590>=$C$9),ZOZNAM!A590,\"\")","v":"MF005"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!B590=\"\",\"\",ZOZNAM!B590),\"\")","v":"International Monetary Fund"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!C590=\"\",\"\",ZOZNAM!C590),\"\")","v":"Financial Programming and Policies, Part 1: Macroeconomic Accounts & Analysis (FPP.1x)"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!D590=\"\",\"\",ZOZNAM!D590),\"\")","v":"online"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!E590=\"\",\"\",ZOZNAM!E590),\"\")","v":160},{"$f":"IF($A599<>\"\",IF(ZOZNAM!F590=\"\",\"\",ZOZNAM!F590),\"\")","v":230},{"$f":"IF($A599<>\"\",IF(ZOZNAM!G590=\"\",\"\",ZOZNAM!G590),\"\")","v":"2020-01-15"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!H590=\"\",\"\",ZOZNAM!H590),\"\")","v":"2020-08-31"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!I590=\"\",\"\",ZOZNAM!I590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!J590=\"\",\"\",ZOZNAM!J590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!K590=\"\",\"\",ZOZNAM!K590),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-1xOL20-05"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!L590=\"\",\"\",ZOZNAM!L590),\"\")","v":"This online course, presented by the Institute for Capacity Development, explains the basic skills required to conduct financial programming; the principal features of the accounts of the four main sectors that comprise the macroeconomy (real, fiscal, external, and monetary); and how they relate to each other. For each sector, the course presents the accounting framework, interpretations of variables and indicators from these accounts, and basic analysis of the accounts."},{"$f":"IF($A599<>\"\",IF(ZOZNAM!M590=\"\",\"\",ZOZNAM!M590),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A599<>\"\",IF(ZOZNAM!N590=\"\",\"\",ZOZNAM!N590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!O590=\"\",\"\",ZOZNAM!O590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!P590=\"\",\"\",ZOZNAM!P590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!Q590=\"\",\"\",ZOZNAM!Q590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!R590=\"\",\"\",ZOZNAM!R590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!S590=\"\",\"\",ZOZNAM!S590),\"\")","v":""},{"$f":"IF($A599<>\"\",IF(ZOZNAM!T590=\"\",\"\",ZOZNAM!T590),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C591)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C591)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C591)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C591)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C591)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C591)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L591)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L591)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L591)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L591)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L591)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L591)),FALSE))),ZOZNAM!G591>=$C$9),ZOZNAM!A591,\"\")","v":"MF006"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!B591=\"\",\"\",ZOZNAM!B591),\"\")","v":"International Monetary Fund"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!C591=\"\",\"\",ZOZNAM!C591),\"\")","v":"Financial Programming and Policies, Part 2: Program Design (FPP.2x)"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!D591=\"\",\"\",ZOZNAM!D591),\"\")","v":"online"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!E591=\"\",\"\",ZOZNAM!E591),\"\")","v":160},{"$f":"IF($A600<>\"\",IF(ZOZNAM!F591=\"\",\"\",ZOZNAM!F591),\"\")","v":230},{"$f":"IF($A600<>\"\",IF(ZOZNAM!G591=\"\",\"\",ZOZNAM!G591),\"\")","v":"2020-01-15"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!H591=\"\",\"\",ZOZNAM!H591),\"\")","v":"2020-08-31"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!I591=\"\",\"\",ZOZNAM!I591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!J591=\"\",\"\",ZOZNAM!J591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!K591=\"\",\"\",ZOZNAM!K591),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-2xOL20-105"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!L591=\"\",\"\",ZOZNAM!L591),\"\")","v":"This online course, presented by the Institute for Capacity Development, builds on the FPP.1x course to expand participants’ understanding of the design and application of macroeconomic and financial policies. It presents simple forecasting methods for each macroeconomic sector, explains the baseline assumptions for the diagnosis of macroeconomic performance, and demonstrates the preparation of a macroeconomic adjustment program for a case study country.\n\n"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!M591=\"\",\"\",ZOZNAM!M591),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A600<>\"\",IF(ZOZNAM!N591=\"\",\"\",ZOZNAM!N591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!O591=\"\",\"\",ZOZNAM!O591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!P591=\"\",\"\",ZOZNAM!P591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!Q591=\"\",\"\",ZOZNAM!Q591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!R591=\"\",\"\",ZOZNAM!R591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!S591=\"\",\"\",ZOZNAM!S591),\"\")","v":""},{"$f":"IF($A600<>\"\",IF(ZOZNAM!T591=\"\",\"\",ZOZNAM!T591),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C592)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C592)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C592)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C592)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C592)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C592)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L592)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L592)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L592)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L592)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L592)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L592)),FALSE))),ZOZNAM!G592>=$C$9),ZOZNAM!A592,\"\")","v":"MF007"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!B592=\"\",\"\",ZOZNAM!B592),\"\")","v":"International Monetary Fund"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!C592=\"\",\"\",ZOZNAM!C592),\"\")","v":"Macroeconometric Forecasting (MFx)"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!D592=\"\",\"\",ZOZNAM!D592),\"\")","v":"online"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!E592=\"\",\"\",ZOZNAM!E592),\"\")","v":160},{"$f":"IF($A601<>\"\",IF(ZOZNAM!F592=\"\",\"\",ZOZNAM!F592),\"\")","v":230},{"$f":"IF($A601<>\"\",IF(ZOZNAM!G592=\"\",\"\",ZOZNAM!G592),\"\")","v":"2020-01-15"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!H592=\"\",\"\",ZOZNAM!H592),\"\")","v":"2020-08-31"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!I592=\"\",\"\",ZOZNAM!I592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!J592=\"\",\"\",ZOZNAM!J592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!K592=\"\",\"\",ZOZNAM!K592),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/MFxOL20-10"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!L592=\"\",\"\",ZOZNAM!L592),\"\")","v":"This course, presented by the Institute for Capacity Development, is designed to reinforce the macroeconomic forecasting and modeling skills of participants and their use of modern econometric techniques. Lectures discuss the underlying theory and demonstrations show how to conduct empirical analyses using EViews. The course focuses on four aspects of empirical model building and forecasting:\n\ndata and model properties, such as stationarity/non-stationarity and co-integration;\ndynamic specifications, especially the use of error correction models;\nmodel evaluation, design, and simulation; and\nforecast uncertainty and policy analysis.\n"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!M592=\"\",\"\",ZOZNAM!M592),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A601<>\"\",IF(ZOZNAM!N592=\"\",\"\",ZOZNAM!N592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!O592=\"\",\"\",ZOZNAM!O592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!P592=\"\",\"\",ZOZNAM!P592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!Q592=\"\",\"\",ZOZNAM!Q592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!R592=\"\",\"\",ZOZNAM!R592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!S592=\"\",\"\",ZOZNAM!S592),\"\")","v":""},{"$f":"IF($A601<>\"\",IF(ZOZNAM!T592=\"\",\"\",ZOZNAM!T592),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C593)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C593)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C593)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C593)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C593)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C593)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L593)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L593)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L593)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L593)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L593)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L593)),FALSE))),ZOZNAM!G593>=$C$9),ZOZNAM!A593,\"\")","v":"MF008"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!B593=\"\",\"\",ZOZNAM!B593),\"\")","v":"International Monetary Fund"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!C593=\"\",\"\",ZOZNAM!C593),\"\")","v":"Public Sector Debt Statistics (PSDSx)"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!D593=\"\",\"\",ZOZNAM!D593),\"\")","v":"online"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!E593=\"\",\"\",ZOZNAM!E593),\"\")","v":160},{"$f":"IF($A602<>\"\",IF(ZOZNAM!F593=\"\",\"\",ZOZNAM!F593),\"\")","v":230},{"$f":"IF($A602<>\"\",IF(ZOZNAM!G593=\"\",\"\",ZOZNAM!G593),\"\")","v":"2020-01-15"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!H593=\"\",\"\",ZOZNAM!H593),\"\")","v":"2020-08-31"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!I593=\"\",\"\",ZOZNAM!I593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!J593=\"\",\"\",ZOZNAM!J593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!K593=\"\",\"\",ZOZNAM!K593),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/PSDSxOL20-101"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!L593=\"\",\"\",ZOZNAM!L593),\"\")","v":"This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users—in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses. "},{"$f":"IF($A602<>\"\",IF(ZOZNAM!M593=\"\",\"\",ZOZNAM!M593),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A602<>\"\",IF(ZOZNAM!N593=\"\",\"\",ZOZNAM!N593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!O593=\"\",\"\",ZOZNAM!O593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!P593=\"\",\"\",ZOZNAM!P593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!Q593=\"\",\"\",ZOZNAM!Q593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!R593=\"\",\"\",ZOZNAM!R593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!S593=\"\",\"\",ZOZNAM!S593),\"\")","v":""},{"$f":"IF($A602<>\"\",IF(ZOZNAM!T593=\"\",\"\",ZOZNAM!T593),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C594)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C594)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C594)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C594)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C594)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C594)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L594)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L594)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L594)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L594)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L594)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L594)),FALSE))),ZOZNAM!G594>=$C$9),ZOZNAM!A594,\"\")","v":"MF010"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!B594=\"\",\"\",ZOZNAM!B594),\"\")","v":"International Monetary Fund"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!C594=\"\",\"\",ZOZNAM!C594),\"\")","v":"RA-GAP - Tax Gap Analysis (VGAPX)"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!D594=\"\",\"\",ZOZNAM!D594),\"\")","v":"online"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!E594=\"\",\"\",ZOZNAM!E594),\"\")","v":243},{"$f":"IF($A603<>\"\",IF(ZOZNAM!F594=\"\",\"\",ZOZNAM!F594),\"\")","v":350},{"$f":"IF($A603<>\"\",IF(ZOZNAM!G594=\"\",\"\",ZOZNAM!G594),\"\")","v":"2020-05-01"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!H594=\"\",\"\",ZOZNAM!H594),\"\")","v":"2021-04-15"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!I594=\"\",\"\",ZOZNAM!I594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!J594=\"\",\"\",ZOZNAM!J594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!K594=\"\",\"\",ZOZNAM!K594),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/VGAPXOL20-108"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!L594=\"\",\"\",ZOZNAM!L594),\"\")","v":"This online course, presented by the Fiscal Affairs Department, provides instruction on how to prepare and execute VAT gap estimation model (VGEM) of the IMF’s Revenue Administration Gap Analysis Program (RA-GAP)."},{"$f":"IF($A603<>\"\",IF(ZOZNAM!M594=\"\",\"\",ZOZNAM!M594),\"\")","v":"Apply by 10 March 2021\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A603<>\"\",IF(ZOZNAM!N594=\"\",\"\",ZOZNAM!N594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!O594=\"\",\"\",ZOZNAM!O594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!P594=\"\",\"\",ZOZNAM!P594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!Q594=\"\",\"\",ZOZNAM!Q594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!R594=\"\",\"\",ZOZNAM!R594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!S594=\"\",\"\",ZOZNAM!S594),\"\")","v":""},{"$f":"IF($A603<>\"\",IF(ZOZNAM!T594=\"\",\"\",ZOZNAM!T594),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C595)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C595)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C595)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C595)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C595)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C595)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L595)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L595)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L595)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L595)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L595)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L595)),FALSE))),ZOZNAM!G595>=$C$9),ZOZNAM!A595,\"\")","v":"MF011"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!B595=\"\",\"\",ZOZNAM!B595),\"\")","v":"International Monetary Fund"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!C595=\"\",\"\",ZOZNAM!C595),\"\")","v":"Public Financial Management (PFMx)"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!D595=\"\",\"\",ZOZNAM!D595),\"\")","v":"online"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!E595=\"\",\"\",ZOZNAM!E595),\"\")","v":254},{"$f":"IF($A604<>\"\",IF(ZOZNAM!F595=\"\",\"\",ZOZNAM!F595),\"\")","v":365},{"$f":"IF($A604<>\"\",IF(ZOZNAM!G595=\"\",\"\",ZOZNAM!G595),\"\")","v":"2020-05-01"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!H595=\"\",\"\",ZOZNAM!H595),\"\")","v":"2021-04-30"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!I595=\"\",\"\",ZOZNAM!I595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!J595=\"\",\"\",ZOZNAM!J595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!K595=\"\",\"\",ZOZNAM!K595),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/PFMxOL20-113"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!L595=\"\",\"\",ZOZNAM!L595),\"\")","v":"Upon completion of this course, participants should be able to: Understand why PFM is an important tool to implement public policies. Describe and analyze the budget cycle, and its main components. Understand a simple medium-term budget framework, a cash management plan, and a public investment management reform strategy. Recognize tools for effective management of fiscal risks, components of fiscal transparency, reliable fiscal reports, and internal and external audits. Identify issues relevant to the prioritization and sequencing of PFM reforms, and the challenges faced in implementing such reforms Recognize how civil society, public participation, and supreme audit institutions keep governments accountable. Appreciate the role of local conditions and political institutions in designing and implementing reforms."},{"$f":"IF($A604<>\"\",IF(ZOZNAM!M595=\"\",\"\",ZOZNAM!M595),\"\")","v":"Apply by 1 April 2021\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A604<>\"\",IF(ZOZNAM!N595=\"\",\"\",ZOZNAM!N595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!O595=\"\",\"\",ZOZNAM!O595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!P595=\"\",\"\",ZOZNAM!P595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!Q595=\"\",\"\",ZOZNAM!Q595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!R595=\"\",\"\",ZOZNAM!R595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!S595=\"\",\"\",ZOZNAM!S595),\"\")","v":""},{"$f":"IF($A604<>\"\",IF(ZOZNAM!T595=\"\",\"\",ZOZNAM!T595),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C596)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C596)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C596)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C596)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C596)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C596)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L596)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L596)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L596)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L596)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L596)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L596)),FALSE))),ZOZNAM!G596>=$C$9),ZOZNAM!A596,\"\")","v":"MF012"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!B596=\"\",\"\",ZOZNAM!B596),\"\")","v":"International Monetary Fund"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!C596=\"\",\"\",ZOZNAM!C596),\"\")","v":"Model-Based Monetary Policy Analysis and Forecasting (MPAFx)"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!D596=\"\",\"\",ZOZNAM!D596),\"\")","v":"online"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!E596=\"\",\"\",ZOZNAM!E596),\"\")","v":79},{"$f":"IF($A605<>\"\",IF(ZOZNAM!F596=\"\",\"\",ZOZNAM!F596),\"\")","v":111},{"$f":"IF($A605<>\"\",IF(ZOZNAM!G596=\"\",\"\",ZOZNAM!G596),\"\")","v":"2020-05-13"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!H596=\"\",\"\",ZOZNAM!H596),\"\")","v":"2020-08-31"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!I596=\"\",\"\",ZOZNAM!I596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!J596=\"\",\"\",ZOZNAM!J596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!K596=\"\",\"\",ZOZNAM!K596),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/MPAFxOL20-114"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!L596=\"\",\"\",ZOZNAM!L596),\"\")","v":"Upon completion of this course, participants should be able to: Explain the key building blocks of a canonical semi-structural QPM. Interpret the key model equations from a macroeconomic point of view. Implement a simple QPM using a specialized software for macroeconomic modelling. Distinguish the key elements of a QPM in a state-space form (i.e. shocks, observable and unobservable variables, measurement and transition equations, steady-state parameters, equation coefficients). Identify necessary codes for data transformation, filtration and evaluation of the QPM properties. Apply the basic IRIS Toolbox functions for solving the model. Create output reports using model codes. Develop a basic calibration of the QPM."},{"$f":"IF($A605<>\"\",IF(ZOZNAM!M596=\"\",\"\",ZOZNAM!M596),\"\")","v":"Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A605<>\"\",IF(ZOZNAM!N596=\"\",\"\",ZOZNAM!N596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!O596=\"\",\"\",ZOZNAM!O596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!P596=\"\",\"\",ZOZNAM!P596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!Q596=\"\",\"\",ZOZNAM!Q596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!R596=\"\",\"\",ZOZNAM!R596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!S596=\"\",\"\",ZOZNAM!S596),\"\")","v":""},{"$f":"IF($A605<>\"\",IF(ZOZNAM!T596=\"\",\"\",ZOZNAM!T596),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C597)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C597)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C597)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C597)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C597)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C597)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L597)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L597)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L597)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L597)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L597)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L597)),FALSE))),ZOZNAM!G597>=$C$9),ZOZNAM!A597,\"\")","v":"GE218"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!B597=\"\",\"\",ZOZNAM!B597),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!C597=\"\",\"\",ZOZNAM!C597),\"\")","v":"Survey Sampling and Weighting"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!D597=\"\",\"\",ZOZNAM!D597),\"\")","v":"Online"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!E597=\"\",\"\",ZOZNAM!E597),\"\")","v":5},{"$f":"IF($A606<>\"\",IF(ZOZNAM!F597=\"\",\"\",ZOZNAM!F597),\"\")","v":5},{"$f":"IF($A606<>\"\",IF(ZOZNAM!G597=\"\",\"\",ZOZNAM!G597),\"\")","v":"2020-08-17"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!H597=\"\",\"\",ZOZNAM!H597),\"\")","v":"2020-08-21"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!I597=\"\",\"\",ZOZNAM!I597),\"\")","v":"600 EUR"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!J597=\"\",\"\",ZOZNAM!J597),\"\")","v":"2020-07-08"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!K597=\"\",\"\",ZOZNAM!K597),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x02FA7D1DBA1C4EA0AD627DF10B9F2CE8"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!L597=\"\",\"\",ZOZNAM!L597),\"\")","v":"This practical course will cover the process of survey sampling, weighting and estimation. This includes a) methods of sample selection, b) methods of weighting including design weighting, nonresponse weighting and poststratification techniques, and c) methods of parameter estimation for complex sample survey data. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. Prior knowledge in how to use Stata is recommended."},{"$f":"IF($A606<>\"\",IF(ZOZNAM!M597=\"\",\"\",ZOZNAM!M597),\"\")","v":"Introductory course in statistics. No prior knowledge of sampling theory is assumed.\nPrior knowledge in Stata is required for this course.\nBasic understanding in survey methodology and how to handle survey data."},{"$f":"IF($A606<>\"\",IF(ZOZNAM!N597=\"\",\"\",ZOZNAM!N597),\"\")","v":"nie"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!O597=\"\",\"\",ZOZNAM!O597),\"\")","v":"nie"},{"$f":"IF($A606<>\"\",IF(ZOZNAM!P597=\"\",\"\",ZOZNAM!P597),\"\")","v":2.5},{"$f":"IF($A606<>\"\",IF(ZOZNAM!Q597=\"\",\"\",ZOZNAM!Q597),\"\")","v":""},{"$f":"IF($A606<>\"\",IF(ZOZNAM!R597=\"\",\"\",ZOZNAM!R597),\"\")","v":""},{"$f":"IF($A606<>\"\",IF(ZOZNAM!S597=\"\",\"\",ZOZNAM!S597),\"\")","v":""},{"$f":"IF($A606<>\"\",IF(ZOZNAM!T597=\"\",\"\",ZOZNAM!T597),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C598)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C598)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C598)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C598)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C598)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C598)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L598)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L598)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L598)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L598)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L598)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L598)),FALSE))),ZOZNAM!G598>=$C$9),ZOZNAM!A598,\"\")","v":"GE219"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!B598=\"\",\"\",ZOZNAM!B598),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!C598=\"\",\"\",ZOZNAM!C598),\"\")","v":"Designing, Implementing, and Analyzing Longitudinal Surveys"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!D598=\"\",\"\",ZOZNAM!D598),\"\")","v":"Online"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!E598=\"\",\"\",ZOZNAM!E598),\"\")","v":5},{"$f":"IF($A607<>\"\",IF(ZOZNAM!F598=\"\",\"\",ZOZNAM!F598),\"\")","v":5},{"$f":"IF($A607<>\"\",IF(ZOZNAM!G598=\"\",\"\",ZOZNAM!G598),\"\")","v":"2020-08-17"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!H598=\"\",\"\",ZOZNAM!H598),\"\")","v":"2020-08-21"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!I598=\"\",\"\",ZOZNAM!I598),\"\")","v":"600 EUR"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!J598=\"\",\"\",ZOZNAM!J598),\"\")","v":"2020-07-08"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!K598=\"\",\"\",ZOZNAM!K598),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xA554036445134148AC7AE351EC469F87"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!L598=\"\",\"\",ZOZNAM!L598),\"\")","v":"The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\nA review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put.\nKey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes.\nImportant aspects of designing a questionnaire and measurement for longitudinal studies, particularly for capturing micro-level change\nThe impact of non-response and attrition in a panel, and adjustments such as weighting and imputation given that missing data patterns differ between waves.\nAn introduction to important analysis considerations and methods when using a longitudinal survey design.\nIn addition, each morning time will be available in a computer lab for exercises for practical application of these methods and an opportunity for more interaction with the instructors."},{"$f":"IF($A607<>\"\",IF(ZOZNAM!M598=\"\",\"\",ZOZNAM!M598),\"\")","v":"participants should have basic knowledge of survey methodology from a cross-sectional perspective, in particular with respect to survey design, instrument development, and survey implementation\nbasic knowledge of statistics and statistical modelling (i.e., regression) and of a statistical software (Stata or R)."},{"$f":"IF($A607<>\"\",IF(ZOZNAM!N598=\"\",\"\",ZOZNAM!N598),\"\")","v":"nie"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!O598=\"\",\"\",ZOZNAM!O598),\"\")","v":"nie"},{"$f":"IF($A607<>\"\",IF(ZOZNAM!P598=\"\",\"\",ZOZNAM!P598),\"\")","v":2.5},{"$f":"IF($A607<>\"\",IF(ZOZNAM!Q598=\"\",\"\",ZOZNAM!Q598),\"\")","v":""},{"$f":"IF($A607<>\"\",IF(ZOZNAM!R598=\"\",\"\",ZOZNAM!R598),\"\")","v":""},{"$f":"IF($A607<>\"\",IF(ZOZNAM!S598=\"\",\"\",ZOZNAM!S598),\"\")","v":""},{"$f":"IF($A607<>\"\",IF(ZOZNAM!T598=\"\",\"\",ZOZNAM!T598),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C599)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C599)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C599)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C599)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C599)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C599)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L599)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L599)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L599)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L599)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L599)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L599)),FALSE))),ZOZNAM!G599>=$C$9),ZOZNAM!A599,\"\")","v":"GE220"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!B599=\"\",\"\",ZOZNAM!B599),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!C599=\"\",\"\",ZOZNAM!C599),\"\")","v":"Mixed Methods and Multimethod Research"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!D599=\"\",\"\",ZOZNAM!D599),\"\")","v":"Online"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!E599=\"\",\"\",ZOZNAM!E599),\"\")","v":5},{"$f":"IF($A608<>\"\",IF(ZOZNAM!F599=\"\",\"\",ZOZNAM!F599),\"\")","v":5},{"$f":"IF($A608<>\"\",IF(ZOZNAM!G599=\"\",\"\",ZOZNAM!G599),\"\")","v":"2020-08-17"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!H599=\"\",\"\",ZOZNAM!H599),\"\")","v":"2020-08-21"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!I599=\"\",\"\",ZOZNAM!I599),\"\")","v":"480 EUR"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!J599=\"\",\"\",ZOZNAM!J599),\"\")","v":"2020-07-08"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!K599=\"\",\"\",ZOZNAM!K599),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xD5A4BEE533A8490D8070B61A44F35498"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!L599=\"\",\"\",ZOZNAM!L599),\"\")","v":"This course deals with mixed-methods and multimethod research (MMR) in the social sciences. We will discuss the broader understanding of combining qualitative and quantitative methods (mixed methods) and the narrower approach of nested analysis. The course aims to reflect the diversity of MMR studies in the discipline to accommodate participants' projects. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.The goal of the course is to understand the different varieties in which MMR can be done. We discuss the unique advantages and methodological and practical challenges confronted in mixed-method research.Topics include the variety of mixed-method designs that are available; the use of concepts in the qualitative and quantitative analysis, case selection for qualitative research, the compatibility of theoretical expectations in the qualitative and quantitative analysis. The discussions are illustrated with examples from different fields of political science. By the end of the course, participants will able to realize their own mixed-methods study in a systematic manner, and to critically evaluate published MMR studies."},{"$f":"IF($A608<>\"\",IF(ZOZNAM!M599=\"\",\"\",ZOZNAM!M599),\"\")","v":"Prerequisites: Basic knowledge of the two (or more) methods that participants want to apply in their projects. Familiarity with meaning and standards of causal inference and causal explanation."},{"$f":"IF($A608<>\"\",IF(ZOZNAM!N599=\"\",\"\",ZOZNAM!N599),\"\")","v":"nie"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!O599=\"\",\"\",ZOZNAM!O599),\"\")","v":"nie"},{"$f":"IF($A608<>\"\",IF(ZOZNAM!P599=\"\",\"\",ZOZNAM!P599),\"\")","v":2.5},{"$f":"IF($A608<>\"\",IF(ZOZNAM!Q599=\"\",\"\",ZOZNAM!Q599),\"\")","v":""},{"$f":"IF($A608<>\"\",IF(ZOZNAM!R599=\"\",\"\",ZOZNAM!R599),\"\")","v":""},{"$f":"IF($A608<>\"\",IF(ZOZNAM!S599=\"\",\"\",ZOZNAM!S599),\"\")","v":""},{"$f":"IF($A608<>\"\",IF(ZOZNAM!T599=\"\",\"\",ZOZNAM!T599),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C600)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C600)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C600)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C600)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C600)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C600)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L600)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L600)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L600)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L600)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L600)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L600)),FALSE))),ZOZNAM!G600>=$C$9),ZOZNAM!A600,\"\")","v":"IT004"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!B600=\"\",\"\",ZOZNAM!B600),\"\")","v":"International Tax Center ITC Leiden"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!C600=\"\",\"\",ZOZNAM!C600),\"\")","v":"Comparability Analysis"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!D600=\"\",\"\",ZOZNAM!D600),\"\")","v":"Leiden, Holandsko"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!E600=\"\",\"\",ZOZNAM!E600),\"\")","v":15},{"$f":"IF($A609<>\"\",IF(ZOZNAM!F600=\"\",\"\",ZOZNAM!F600),\"\")","v":19},{"$f":"IF($A609<>\"\",IF(ZOZNAM!G600=\"\",\"\",ZOZNAM!G600),\"\")","v":"2020-03-09"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!H600=\"\",\"\",ZOZNAM!H600),\"\")","v":"2020-03-27"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!I600=\"\",\"\",ZOZNAM!I600),\"\")","v":"2500 EUR"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!J600=\"\",\"\",ZOZNAM!J600),\"\")","v":""},{"$f":"IF($A609<>\"\",IF(ZOZNAM!K600=\"\",\"\",ZOZNAM!K600),\"\")","v":"https://www.itc-leiden.nl/en/itc-leiden-2019-2020-adv-llm-single-courses"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!L600=\"\",\"\",ZOZNAM!L600),\"\")","v":"This course deals with the comparability analysis which represents a core element of transfer pricing\nand involves both the search for comparables (the so-called economic analysis) and the analysis of the\ntaxpayer’s-controlled transaction. The course starts with an introduction to those elements of\neconomics, accounting and statistics that provide the key knowledge for properly performing the\ncomparability analysis. The focus of the course is on Chapter III of the OECD TP Guidelines. The\nstandard practices applied by practitioners and tax authorities will be examined through an\nexploration of the theoretical framework and through cases analyzed in workshops on the use of\ndatabases and the application of transfer pricing adjustments."},{"$f":"IF($A609<>\"\",IF(ZOZNAM!M600=\"\",\"\",ZOZNAM!M600),\"\")","v":"A 10% discount applies if at least 6 weeks of Transfer Pricing courses (applicable for any combination of Basic, Advanced and Specialized Focus courses) are registered for by the same person. Tuition fees should be receivied by ITC Leiden 30 days before the first day of the course."},{"$f":"IF($A609<>\"\",IF(ZOZNAM!N600=\"\",\"\",ZOZNAM!N600),\"\")","v":"nie"},{"$f":"IF($A609<>\"\",IF(ZOZNAM!O600=\"\",\"\",ZOZNAM!O600),\"\")","v":""},{"$f":"IF($A609<>\"\",IF(ZOZNAM!P600=\"\",\"\",ZOZNAM!P600),\"\")","v":""},{"$f":"IF($A609<>\"\",IF(ZOZNAM!Q600=\"\",\"\",ZOZNAM!Q600),\"\")","v":""},{"$f":"IF($A609<>\"\",IF(ZOZNAM!R600=\"\",\"\",ZOZNAM!R600),\"\")","v":""},{"$f":"IF($A609<>\"\",IF(ZOZNAM!S600=\"\",\"\",ZOZNAM!S600),\"\")","v":""},{"$f":"IF($A609<>\"\",IF(ZOZNAM!T600=\"\",\"\",ZOZNAM!T600),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C601)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C601)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C601)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C601)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C601)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C601)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L601)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L601)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L601)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L601)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L601)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L601)),FALSE))),ZOZNAM!G601>=$C$9),ZOZNAM!A601,\"\")","v":"IT005"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!B601=\"\",\"\",ZOZNAM!B601),\"\")","v":"International Tax Center ITC Leiden"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!C601=\"\",\"\",ZOZNAM!C601),\"\")","v":"Intangibles and Cost Contribution Arrangements"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!D601=\"\",\"\",ZOZNAM!D601),\"\")","v":"Leiden, Holandsko"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!E601=\"\",\"\",ZOZNAM!E601),\"\")","v":12},{"$f":"IF($A610<>\"\",IF(ZOZNAM!F601=\"\",\"\",ZOZNAM!F601),\"\")","v":19},{"$f":"IF($A610<>\"\",IF(ZOZNAM!G601=\"\",\"\",ZOZNAM!G601),\"\")","v":"2020-04-13"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!H601=\"\",\"\",ZOZNAM!H601),\"\")","v":"2020-05-01"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!I601=\"\",\"\",ZOZNAM!I601),\"\")","v":"2500 EUR"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!J601=\"\",\"\",ZOZNAM!J601),\"\")","v":""},{"$f":"IF($A610<>\"\",IF(ZOZNAM!K601=\"\",\"\",ZOZNAM!K601),\"\")","v":"https://www.itc-leiden.nl/en/itc-leiden-2019-2020-adv-llm-single-courses"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!L601=\"\",\"\",ZOZNAM!L601),\"\")","v":"This course deals with the transfer pricing aspects of intangibles and cost contribution arrangements (CCAs). This core subject of transfer pricing is extensively analyzed on the basis of Chapters VI and VIII of the OECD TP Guidelines. The standard practices applied by practitioners and the tax authorities will be examined through an analysis of the theoretical framework and through workshops in which case law on intangibles, the use of databases and the determination of buy-in and buy-out payments will be on intangibles, the use of databases and the determination of buy-in and buy-out payments will be analyzed "},{"$f":"IF($A610<>\"\",IF(ZOZNAM!M601=\"\",\"\",ZOZNAM!M601),\"\")","v":"A 10% discount applies if at least 6 weeks of Transfer Pricing courses (applicable for any combination of Basic, Advanced and Specialized Focus courses) are registered for by the same person. Tuition fees should be receivied by ITC Leiden 30 days before the first day of the course."},{"$f":"IF($A610<>\"\",IF(ZOZNAM!N601=\"\",\"\",ZOZNAM!N601),\"\")","v":"nie"},{"$f":"IF($A610<>\"\",IF(ZOZNAM!O601=\"\",\"\",ZOZNAM!O601),\"\")","v":""},{"$f":"IF($A610<>\"\",IF(ZOZNAM!P601=\"\",\"\",ZOZNAM!P601),\"\")","v":""},{"$f":"IF($A610<>\"\",IF(ZOZNAM!Q601=\"\",\"\",ZOZNAM!Q601),\"\")","v":""},{"$f":"IF($A610<>\"\",IF(ZOZNAM!R601=\"\",\"\",ZOZNAM!R601),\"\")","v":""},{"$f":"IF($A610<>\"\",IF(ZOZNAM!S601=\"\",\"\",ZOZNAM!S601),\"\")","v":""},{"$f":"IF($A610<>\"\",IF(ZOZNAM!T601=\"\",\"\",ZOZNAM!T601),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C602)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C602)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C602)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C602)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C602)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C602)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L602)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L602)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L602)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L602)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L602)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L602)),FALSE))),ZOZNAM!G602>=$C$9),ZOZNAM!A602,\"\")","v":"IC009"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!B602=\"\",\"\",ZOZNAM!B602),\"\")","v":"International Training Centre"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!C602=\"\",\"\",ZOZNAM!C602),\"\")","v":"E-LEARNING COURSE ON MEASURING SKILLS MISMATCHES"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!D602=\"\",\"\",ZOZNAM!D602),\"\")","v":"Online"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!E602=\"\",\"\",ZOZNAM!E602),\"\")","v":14},{"$f":"IF($A611<>\"\",IF(ZOZNAM!F602=\"\",\"\",ZOZNAM!F602),\"\")","v":19},{"$f":"IF($A611<>\"\",IF(ZOZNAM!G602=\"\",\"\",ZOZNAM!G602),\"\")","v":"2020-08-17"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!H602=\"\",\"\",ZOZNAM!H602),\"\")","v":"2020-09-04"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!I602=\"\",\"\",ZOZNAM!I602),\"\")","v":"TBA"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!J602=\"\",\"\",ZOZNAM!J602),\"\")","v":"2020-07-27"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!K602=\"\",\"\",ZOZNAM!K602),\"\")","v":"https://www.itcilo.org/courses/e-learning-course-measuring-skills-mismatches"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!L602=\"\",\"\",ZOZNAM!L602),\"\")","v":"Using a step-by-step approach, this course aims to equip national and international stakeholders with the necessary competencies to measure skills mismatches and imbalances from both the demand and supply sides. The course will highlight the latest guidelines developed by the ILO with regard to measuring skills mismatches, while also emphasizing the SDG and the decent work indicators framework."},{"$f":"IF($A611<>\"\",IF(ZOZNAM!M602=\"\",\"\",ZOZNAM!M602),\"\")","v":""},{"$f":"IF($A611<>\"\",IF(ZOZNAM!N602=\"\",\"\",ZOZNAM!N602),\"\")","v":"nie"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!O602=\"\",\"\",ZOZNAM!O602),\"\")","v":"nie"},{"$f":"IF($A611<>\"\",IF(ZOZNAM!P602=\"\",\"\",ZOZNAM!P602),\"\")","v":""},{"$f":"IF($A611<>\"\",IF(ZOZNAM!Q602=\"\",\"\",ZOZNAM!Q602),\"\")","v":""},{"$f":"IF($A611<>\"\",IF(ZOZNAM!R602=\"\",\"\",ZOZNAM!R602),\"\")","v":""},{"$f":"IF($A611<>\"\",IF(ZOZNAM!S602=\"\",\"\",ZOZNAM!S602),\"\")","v":""},{"$f":"IF($A611<>\"\",IF(ZOZNAM!T602=\"\",\"\",ZOZNAM!T602),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C603)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C603)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C603)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C603)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C603)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C603)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L603)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L603)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L603)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L603)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L603)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L603)),FALSE))),ZOZNAM!G603>=$C$9),ZOZNAM!A603,\"\")","v":"IC010"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!B603=\"\",\"\",ZOZNAM!B603),\"\")","v":"International Training Centre"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!C603=\"\",\"\",ZOZNAM!C603),\"\")","v":"SUMMER E-ACADEMY ON THE FUTURE OF WORK"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!D603=\"\",\"\",ZOZNAM!D603),\"\")","v":"Online"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!E603=\"\",\"\",ZOZNAM!E603),\"\")","v":5},{"$f":"IF($A612<>\"\",IF(ZOZNAM!F603=\"\",\"\",ZOZNAM!F603),\"\")","v":5},{"$f":"IF($A612<>\"\",IF(ZOZNAM!G603=\"\",\"\",ZOZNAM!G603),\"\")","v":"2020-08-17"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!H603=\"\",\"\",ZOZNAM!H603),\"\")","v":"2020-08-21"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!I603=\"\",\"\",ZOZNAM!I603),\"\")","v":"1480 EUR"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!J603=\"\",\"\",ZOZNAM!J603),\"\")","v":"2020-07-31"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!K603=\"\",\"\",ZOZNAM!K603),\"\")","v":"https://www.itcilo.org/courses/summer-e-academy-future-work"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!L603=\"\",\"\",ZOZNAM!L603),\"\")","v":"The world of work looks a little different every day. These changes - driven by technological innovation, demographics, climate change, and globalization - are unprecedented in their scale, speed and depth. They are already profoundly reshaping the ways in which people work and live. An entire generation is ready to innovate for the work they deserve. Are you in?"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!M603=\"\",\"\",ZOZNAM!M603),\"\")","v":"The Summer Academy has a duration of 1 week: from 17-21 August 2020. Participation in the Summer E-Academy requires 7 hours of study per day during the period from 17-21 August. Participants will be required to complete a set of individual assignments in order to receive the Certificate of Achievement. The estimated time required to complete the individual assignments is 25 hours. The deadline for the completion of the assignments is 31 August 2020."},{"$f":"IF($A612<>\"\",IF(ZOZNAM!N603=\"\",\"\",ZOZNAM!N603),\"\")","v":"nie"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!O603=\"\",\"\",ZOZNAM!O603),\"\")","v":"nie"},{"$f":"IF($A612<>\"\",IF(ZOZNAM!P603=\"\",\"\",ZOZNAM!P603),\"\")","v":""},{"$f":"IF($A612<>\"\",IF(ZOZNAM!Q603=\"\",\"\",ZOZNAM!Q603),\"\")","v":""},{"$f":"IF($A612<>\"\",IF(ZOZNAM!R603=\"\",\"\",ZOZNAM!R603),\"\")","v":""},{"$f":"IF($A612<>\"\",IF(ZOZNAM!S603=\"\",\"\",ZOZNAM!S603),\"\")","v":""},{"$f":"IF($A612<>\"\",IF(ZOZNAM!T603=\"\",\"\",ZOZNAM!T603),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C610)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C610)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C610)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C610)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C610)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C610)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L610)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L610)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L610)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L610)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L610)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L610)),FALSE))),ZOZNAM!G610>=$C$9),ZOZNAM!A610,\"\")","v":"SH006"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!B610=\"\",\"\",ZOZNAM!B610),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!C610=\"\",\"\",ZOZNAM!C610),\"\")","v":"System analytics. Data-driven decision making made easy"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!D610=\"\",\"\",ZOZNAM!D610),\"\")","v":"Online"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!E610=\"\",\"\",ZOZNAM!E610),\"\")","v":3},{"$f":"IF($A619<>\"\",IF(ZOZNAM!F610=\"\",\"\",ZOZNAM!F610),\"\")","v":3},{"$f":"IF($A619<>\"\",IF(ZOZNAM!G610=\"\",\"\",ZOZNAM!G610),\"\")","v":"2020-08-24"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!H610=\"\",\"\",ZOZNAM!H610),\"\")","v":"2020-08-26"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!I610=\"\",\"\",ZOZNAM!I610),\"\")","v":"800 CHF"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!J610=\"\",\"\",ZOZNAM!J610),\"\")","v":"2020-08-16"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!K610=\"\",\"\",ZOZNAM!K610),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_csa/"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!L610=\"\",\"\",ZOZNAM!L610),\"\")","v":"By the end of the course participants will: Be familiar with the concepts, methods and applications of systems modelling and simulation in the context of public health; Be able to define and describe the modelling methods, including their appropriate use for answering different questions; Understand the value of systems modelling and simulation in the global health toolkit; Be able to competently interact with / run models using off the shelf software; Be able to build a simple prototype model; Understand the value of participatory approaches to model development."},{"$f":"IF($A619<>\"\",IF(ZOZNAM!M610=\"\",\"\",ZOZNAM!M610),\"\")","v":""},{"$f":"IF($A619<>\"\",IF(ZOZNAM!N610=\"\",\"\",ZOZNAM!N610),\"\")","v":"nie"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!O610=\"\",\"\",ZOZNAM!O610),\"\")","v":"nie"},{"$f":"IF($A619<>\"\",IF(ZOZNAM!P610=\"\",\"\",ZOZNAM!P610),\"\")","v":""},{"$f":"IF($A619<>\"\",IF(ZOZNAM!Q610=\"\",\"\",ZOZNAM!Q610),\"\")","v":""},{"$f":"IF($A619<>\"\",IF(ZOZNAM!R610=\"\",\"\",ZOZNAM!R610),\"\")","v":""},{"$f":"IF($A619<>\"\",IF(ZOZNAM!S610=\"\",\"\",ZOZNAM!S610),\"\")","v":""},{"$f":"IF($A619<>\"\",IF(ZOZNAM!T610=\"\",\"\",ZOZNAM!T610),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C621)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C621)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C621)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C621)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C621)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C621)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L621)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L621)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L621)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L621)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L621)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L621)),FALSE))),ZOZNAM!G621>=$C$9),ZOZNAM!A621,\"\")","v":"SH009"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!B621=\"\",\"\",ZOZNAM!B621),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!C621=\"\",\"\",ZOZNAM!C621),\"\")","v":"Policy Options on Mental Health"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!D621=\"\",\"\",ZOZNAM!D621),\"\")","v":"Online"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!E621=\"\",\"\",ZOZNAM!E621),\"\")","v":3},{"$f":"IF($A630<>\"\",IF(ZOZNAM!F621=\"\",\"\",ZOZNAM!F621),\"\")","v":3},{"$f":"IF($A630<>\"\",IF(ZOZNAM!G621=\"\",\"\",ZOZNAM!G621),\"\")","v":"2020-08-24"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!H621=\"\",\"\",ZOZNAM!H621),\"\")","v":"2020-08-26"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!I621=\"\",\"\",ZOZNAM!I621),\"\")","v":"800 CHF"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!J621=\"\",\"\",ZOZNAM!J621),\"\")","v":"2020-08-16"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!K621=\"\",\"\",ZOZNAM!K621),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2020_cmh/"},{"$f":"IF($A630<>\"\",IF(ZOZNAM!L621=\"\",\"\",ZOZNAM!L621),\"\")","v":"Good mental health policy will help people, organizations, and governments deal with the novel coronavirus and meet the Sustainable Development Goals. The mental health challenges we face are both  immediatley and long term and mental health is now conceived as a public good, crucial to attain economic growth, social inclusion, and environmental protection. The prominence of social determinants of mental health and a shift from diagnosis to a dimensional approach provide unique opportunities for mental health promotion, and prevention. Now more than ever, it is imperative that mental health policies align with the SDGs, and implementation efforts embrace and promote multisectoral approaches and actively involve stakeholders."},{"$f":"IF($A630<>\"\",IF(ZOZNAM!M621=\"\",\"\",ZOZNAM!M621),\"\")","v":"Prerequisites: None specific.\n\nPrevious or current involvement and/or research in mental health projects and programs at all levels of health and social systems is an asset."},{"$f":"IF($A630<>\"\",IF(ZOZNAM!N621=\"\",\"\",ZOZNAM!N621),\"\")","v":""},{"$f":"IF($A630<>\"\",IF(ZOZNAM!O621=\"\",\"\",ZOZNAM!O621),\"\")","v":""},{"$f":"IF($A630<>\"\",IF(ZOZNAM!P621=\"\",\"\",ZOZNAM!P621),\"\")","v":""},{"$f":"IF($A630<>\"\",IF(ZOZNAM!Q621=\"\",\"\",ZOZNAM!Q621),\"\")","v":""},{"$f":"IF($A630<>\"\",IF(ZOZNAM!R621=\"\",\"\",ZOZNAM!R621),\"\")","v":""},{"$f":"IF($A630<>\"\",IF(ZOZNAM!S621=\"\",\"\",ZOZNAM!S621),\"\")","v":""},{"$f":"IF($A630<>\"\",IF(ZOZNAM!T621=\"\",\"\",ZOZNAM!T621),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C622)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C622)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C622)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C622)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C622)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C622)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L622)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L622)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L622)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L622)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L622)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L622)),FALSE))),ZOZNAM!G622>=$C$9),ZOZNAM!A622,\"\")","v":"TS011"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!B622=\"\",\"\",ZOZNAM!B622),\"\")","v":"Tstat"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!C622=\"\",\"\",ZOZNAM!C622),\"\")","v":"VI SUMMER SCHOOL – PROGRAM EVALUATION IN ACTION"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!D622=\"\",\"\",ZOZNAM!D622),\"\")","v":"Florencia, Taliansko"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!E622=\"\",\"\",ZOZNAM!E622),\"\")","v":5},{"$f":"IF($A631<>\"\",IF(ZOZNAM!F622=\"\",\"\",ZOZNAM!F622),\"\")","v":6},{"$f":"IF($A631<>\"\",IF(ZOZNAM!G622=\"\",\"\",ZOZNAM!G622),\"\")","v":"2020-08-24"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!H622=\"\",\"\",ZOZNAM!H622),\"\")","v":"2020-08-29"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!I622=\"\",\"\",ZOZNAM!I622),\"\")","v":"3 900 EUR"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!J622=\"\",\"\",ZOZNAM!J622),\"\")","v":"2020-08-01"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!K622=\"\",\"\",ZOZNAM!K622),\"\")","v":"https://www.tstattraining.eu/training/program-evaluation-action/"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!L622=\"\",\"\",ZOZNAM!L622),\"\")","v":"Providing effective evaluation of economic, social and public health programs has become an increasingly important requirement for both public and private institutions. Program evaluation allows us to assess the effectiveness of a specific program or intervention, and to use the subsequent results to identify how we can improve the future implementation of the program. As such program evaluation can be an extremely valuable tool for managers and evaluators looking to improve the quality of their programs and improve participation outcomes for the individuals involved. TStat’s residential summer school offers participants a unique opportunity to acquire the requisite toolset, both theoretical and applied, for the correct implementation of effective modern micro-econometric methods for implementing evidence-based program evaluation using Stata. As such, the program has been developed to encompass both: standard statistical methods of program evaluation: regression-adjustment, matching, selection-models and difference-in-differences methodologies; and the more advanced econometric techniques: for example, instrumental variables, synthetic control method, and regression discontinuity design."},{"$f":"IF($A631<>\"\",IF(ZOZNAM!M622=\"\",\"\",ZOZNAM!M622),\"\")","v":"Apply by 1 August 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nPlease note that a non-refundable deposit of €100.00 for full-time students and €250.00 for Academic and Commercial participants, is required to secure a place and is payable upon registration. The number of participants is limited to 15. Places will be allocated on a first come, first serve basis.\nCourse fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the summer school; ii) a temporary licence of Stata valid for 30 days from the day before the beginning of the school; iii) half board accommodation (breakfast, lunch and coffee breaks) in a single room at the CISL Studium Centre or equivalent (6 nights for entire school, 5 nights for Modules B). Participants requiring accommodation the night of the final day of the school, are requested to contact us as soon as possible.\n\nTo maximize the usefulness of this summer school, we strongly recommend that participants bring their own laptops with them, to enable them to actively participate in the empirical sessions.\n\n"},{"$f":"IF($A631<>\"\",IF(ZOZNAM!N622=\"\",\"\",ZOZNAM!N622),\"\")","v":""},{"$f":"IF($A631<>\"\",IF(ZOZNAM!O622=\"\",\"\",ZOZNAM!O622),\"\")","v":""},{"$f":"IF($A631<>\"\",IF(ZOZNAM!P622=\"\",\"\",ZOZNAM!P622),\"\")","v":""},{"$f":"IF($A631<>\"\",IF(ZOZNAM!Q622=\"\",\"\",ZOZNAM!Q622),\"\")","v":""},{"$f":"IF($A631<>\"\",IF(ZOZNAM!R622=\"\",\"\",ZOZNAM!R622),\"\")","v":""},{"$f":"IF($A631<>\"\",IF(ZOZNAM!S622=\"\",\"\",ZOZNAM!S622),\"\")","v":""},{"$f":"IF($A631<>\"\",IF(ZOZNAM!T622=\"\",\"\",ZOZNAM!T622),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C623)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C623)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C623)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C623)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C623)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C623)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L623)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L623)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L623)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L623)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L623)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L623)),FALSE))),ZOZNAM!G623>=$C$9),ZOZNAM!A623,\"\")","v":"TS014"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!B623=\"\",\"\",ZOZNAM!B623),\"\")","v":"Tstat"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!C623=\"\",\"\",ZOZNAM!C623),\"\")","v":"SUMMER EDITION – STATA IN JUST ONE DAY!"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!D623=\"\",\"\",ZOZNAM!D623),\"\")","v":"Online"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!E623=\"\",\"\",ZOZNAM!E623),\"\")","v":2},{"$f":"IF($A632<>\"\",IF(ZOZNAM!F623=\"\",\"\",ZOZNAM!F623),\"\")","v":2},{"$f":"IF($A632<>\"\",IF(ZOZNAM!G623=\"\",\"\",ZOZNAM!G623),\"\")","v":"2020-08-24"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!H623=\"\",\"\",ZOZNAM!H623),\"\")","v":"2020-08-25"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!I623=\"\",\"\",ZOZNAM!I623),\"\")","v":"445 EUR"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!J623=\"\",\"\",ZOZNAM!J623),\"\")","v":"2020-08-04"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!K623=\"\",\"\",ZOZNAM!K623),\"\")","v":"https://www.tstattraining.eu/training/stata-just-one-day-ol/"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!L623=\"\",\"\",ZOZNAM!L623),\"\")","v":"“Stata in just one day” is a reduced version of our “Up and Running in Stata” course. The course covers everything from the very basics, in order to get one up and running in Stata, through to an overview of the Stata commands available for preliminary data analysis, data management, importing and exporting data formats and the creation of graphs in Stata.\n\nIn contrast to our Up and Running in Stata course however, it does not include specific applied Lab based exercises at the end of each individual session. Despite this, participants are strongly encouraged to bring their own laptops with them to the workshop, in order to be able to replicate in real time the commands being illustrated by the course leader.\n"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!M623=\"\",\"\",ZOZNAM!M623),\"\")","v":"Apply by 4 August 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nThe number of participants is limited to 8. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled.\n\nCourse fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the course; ii) a temporary licence of Stata valid for 30 days from the day before the beginning of the school).\n"},{"$f":"IF($A632<>\"\",IF(ZOZNAM!N623=\"\",\"\",ZOZNAM!N623),\"\")","v":""},{"$f":"IF($A632<>\"\",IF(ZOZNAM!O623=\"\",\"\",ZOZNAM!O623),\"\")","v":""},{"$f":"IF($A632<>\"\",IF(ZOZNAM!P623=\"\",\"\",ZOZNAM!P623),\"\")","v":""},{"$f":"IF($A632<>\"\",IF(ZOZNAM!Q623=\"\",\"\",ZOZNAM!Q623),\"\")","v":""},{"$f":"IF($A632<>\"\",IF(ZOZNAM!R623=\"\",\"\",ZOZNAM!R623),\"\")","v":""},{"$f":"IF($A632<>\"\",IF(ZOZNAM!S623=\"\",\"\",ZOZNAM!S623),\"\")","v":""},{"$f":"IF($A632<>\"\",IF(ZOZNAM!T623=\"\",\"\",ZOZNAM!T623),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C625)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C625)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C625)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C625)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C625)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C625)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L625)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L625)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L625)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L625)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L625)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L625)),FALSE))),ZOZNAM!G625>=$C$9),ZOZNAM!A625,\"\")","v":"SH010"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!B625=\"\",\"\",ZOZNAM!B625),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!C625=\"\",\"\",ZOZNAM!C625),\"\")","v":"Generating Demand for better public health goods and services: A systems and consumer centered approach"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!D625=\"\",\"\",ZOZNAM!D625),\"\")","v":"Online"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!E625=\"\",\"\",ZOZNAM!E625),\"\")","v":2},{"$f":"IF($A634<>\"\",IF(ZOZNAM!F625=\"\",\"\",ZOZNAM!F625),\"\")","v":3},{"$f":"IF($A634<>\"\",IF(ZOZNAM!G625=\"\",\"\",ZOZNAM!G625),\"\")","v":"2020-08-27"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!H625=\"\",\"\",ZOZNAM!H625),\"\")","v":"2020-08-29"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!I625=\"\",\"\",ZOZNAM!I625),\"\")","v":"800 CHF"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!J625=\"\",\"\",ZOZNAM!J625),\"\")","v":"2020-08-16"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!K625=\"\",\"\",ZOZNAM!K625),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_cdg/"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!L625=\"\",\"\",ZOZNAM!L625),\"\")","v":"The SDG’s, the changes in systems thinking towards consumer environments and the growing realization that information based approaches do not work efficiently in changing health and health-related behavior – mean we need a new training agenda. The 3-day course will focus on the following topic areas:\n\nUsing behavioral science and consumer insights to create demand for better public health goods and services.\nWhy should you and how do you follow a social marketing approach?\nDesigning consumer centric, sustainable business models\nWhy putting on your business hat is important when thinking of improving nutrition and PH goods and services at scale?\nLeveraging private-public engagement for consumer centered health outcomes\nWith what opportunities and challenges and how to manage them?\nExamples will be used throughout the course that come from high, middle, and low-income countries regarding a variety of topics including nutrition, immunization, WASH, screening services, and more."},{"$f":"IF($A634<>\"\",IF(ZOZNAM!M625=\"\",\"\",ZOZNAM!M625),\"\")","v":"Preparatory work requied:\nPreparatory work before the course including recommended readings and a short assignment. (~1-5 hours)"},{"$f":"IF($A634<>\"\",IF(ZOZNAM!N625=\"\",\"\",ZOZNAM!N625),\"\")","v":""},{"$f":"IF($A634<>\"\",IF(ZOZNAM!O625=\"\",\"\",ZOZNAM!O625),\"\")","v":""},{"$f":"IF($A634<>\"\",IF(ZOZNAM!P625=\"\",\"\",ZOZNAM!P625),\"\")","v":""},{"$f":"IF($A634<>\"\",IF(ZOZNAM!Q625=\"\",\"\",ZOZNAM!Q625),\"\")","v":""},{"$f":"IF($A634<>\"\",IF(ZOZNAM!R625=\"\",\"\",ZOZNAM!R625),\"\")","v":""},{"$f":"IF($A634<>\"\",IF(ZOZNAM!S625=\"\",\"\",ZOZNAM!S625),\"\")","v":""},{"$f":"IF($A634<>\"\",IF(ZOZNAM!T625=\"\",\"\",ZOZNAM!T625),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C626)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C626)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C626)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C626)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C626)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C626)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L626)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L626)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L626)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L626)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L626)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L626)),FALSE))),ZOZNAM!G626>=$C$9),ZOZNAM!A626,\"\")","v":"SH011"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!B626=\"\",\"\",ZOZNAM!B626),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!C626=\"\",\"\",ZOZNAM!C626),\"\")","v":"Multisectoral Approaches for Health: Implications for Policy and Practice"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!D626=\"\",\"\",ZOZNAM!D626),\"\")","v":"Online"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!E626=\"\",\"\",ZOZNAM!E626),\"\")","v":2},{"$f":"IF($A635<>\"\",IF(ZOZNAM!F626=\"\",\"\",ZOZNAM!F626),\"\")","v":3},{"$f":"IF($A635<>\"\",IF(ZOZNAM!G626=\"\",\"\",ZOZNAM!G626),\"\")","v":"2020-08-27"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!H626=\"\",\"\",ZOZNAM!H626),\"\")","v":"2020-08-29"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!I626=\"\",\"\",ZOZNAM!I626),\"\")","v":"800 CHF"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!J626=\"\",\"\",ZOZNAM!J626),\"\")","v":"2020-08-16"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!K626=\"\",\"\",ZOZNAM!K626),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_cmsa/"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!L626=\"\",\"\",ZOZNAM!L626),\"\")","v":"This course provides an introductory perspective on determinants of health, equity and multisectoral approaches. Building on earlier debates on determinants of health it will discuss why multisectoral approaches and collaboration are needed to advance the Agenda 2030 health goal.  Practical examples of multisectoral collaborations will be reviewed in form of group work and case studies to provide the participants with an understanding of different models of multisectoral collaboration, their implications as well as the challenges and ways to overcome them."},{"$f":"IF($A635<>\"\",IF(ZOZNAM!M626=\"\",\"\",ZOZNAM!M626),\"\")","v":"No prerequisites, but the course will mostly benefit individuals working in the health sector, such as policy makers and managers, implementation researchers, people involved in development programs that have a health component"},{"$f":"IF($A635<>\"\",IF(ZOZNAM!N626=\"\",\"\",ZOZNAM!N626),\"\")","v":""},{"$f":"IF($A635<>\"\",IF(ZOZNAM!O626=\"\",\"\",ZOZNAM!O626),\"\")","v":""},{"$f":"IF($A635<>\"\",IF(ZOZNAM!P626=\"\",\"\",ZOZNAM!P626),\"\")","v":""},{"$f":"IF($A635<>\"\",IF(ZOZNAM!Q626=\"\",\"\",ZOZNAM!Q626),\"\")","v":""},{"$f":"IF($A635<>\"\",IF(ZOZNAM!R626=\"\",\"\",ZOZNAM!R626),\"\")","v":""},{"$f":"IF($A635<>\"\",IF(ZOZNAM!S626=\"\",\"\",ZOZNAM!S626),\"\")","v":""},{"$f":"IF($A635<>\"\",IF(ZOZNAM!T626=\"\",\"\",ZOZNAM!T626),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C627)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C627)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C627)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C627)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C627)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C627)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L627)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L627)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L627)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L627)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L627)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L627)),FALSE))),ZOZNAM!G627>=$C$9),ZOZNAM!A627,\"\")","v":"CE169"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!B627=\"\",\"\",ZOZNAM!B627),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!C627=\"\",\"\",ZOZNAM!C627),\"\")","v":"Succeeding in Structural Reforms"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!D627=\"\",\"\",ZOZNAM!D627),\"\")","v":"Bled, Slovinsko"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!E627=\"\",\"\",ZOZNAM!E627),\"\")","v":1},{"$f":"IF($A636<>\"\",IF(ZOZNAM!F627=\"\",\"\",ZOZNAM!F627),\"\")","v":2},{"$f":"IF($A636<>\"\",IF(ZOZNAM!G627=\"\",\"\",ZOZNAM!G627),\"\")","v":"2020-08-30"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!H627=\"\",\"\",ZOZNAM!H627),\"\")","v":"2020-08-31"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!I627=\"\",\"\",ZOZNAM!I627),\"\")","v":"0 EUR"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!J627=\"\",\"\",ZOZNAM!J627),\"\")","v":""},{"$f":"IF($A636<>\"\",IF(ZOZNAM!K627=\"\",\"\",ZOZNAM!K627),\"\")","v":"https://www.cef-see.org/20-lmr6"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!L627=\"\",\"\",ZOZNAM!L627),\"\")","v":"This regional event will look into the key success factors for making structural reforms a positive change of a specific economy. It will focus on this exploration from two complementary perspectives: developing policies based on data analysis, and creating an enabling environment for changes and reforms to succeed. It will tackle different managerial approaches and collaboration practices across institutions and sectors, and demonstrate case studies and value creation stories. Target audience: state secretaries, heads of policy and analytical departments of line ministries and ministries of finance."},{"$f":"IF($A636<>\"\",IF(ZOZNAM!M627=\"\",\"\",ZOZNAM!M627),\"\")","v":""},{"$f":"IF($A636<>\"\",IF(ZOZNAM!N627=\"\",\"\",ZOZNAM!N627),\"\")","v":"nie"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!O627=\"\",\"\",ZOZNAM!O627),\"\")","v":"nie"},{"$f":"IF($A636<>\"\",IF(ZOZNAM!P627=\"\",\"\",ZOZNAM!P627),\"\")","v":""},{"$f":"IF($A636<>\"\",IF(ZOZNAM!Q627=\"\",\"\",ZOZNAM!Q627),\"\")","v":""},{"$f":"IF($A636<>\"\",IF(ZOZNAM!R627=\"\",\"\",ZOZNAM!R627),\"\")","v":""},{"$f":"IF($A636<>\"\",IF(ZOZNAM!S627=\"\",\"\",ZOZNAM!S627),\"\")","v":""},{"$f":"IF($A636<>\"\",IF(ZOZNAM!T627=\"\",\"\",ZOZNAM!T627),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C628)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C628)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C628)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C628)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C628)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C628)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L628)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L628)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L628)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L628)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L628)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L628)),FALSE))),ZOZNAM!G628>=$C$9),ZOZNAM!A628,\"\")","v":"NS003"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!B628=\"\",\"\",ZOZNAM!B628),\"\")","v":"NATO School"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!C628=\"\",\"\",ZOZNAM!C628),\"\")","v":"Intelligence Support to Asymmetric Warfare Course"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!D628=\"\",\"\",ZOZNAM!D628),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!E628=\"\",\"\",ZOZNAM!E628),\"\")","v":4},{"$f":"IF($A637<>\"\",IF(ZOZNAM!F628=\"\",\"\",ZOZNAM!F628),\"\")","v":5},{"$f":"IF($A637<>\"\",IF(ZOZNAM!G628=\"\",\"\",ZOZNAM!G628),\"\")","v":"2020-08-31"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!H628=\"\",\"\",ZOZNAM!H628),\"\")","v":"2020-09-04"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!I628=\"\",\"\",ZOZNAM!I628),\"\")","v":"0 EUR"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!J628=\"\",\"\",ZOZNAM!J628),\"\")","v":""},{"$f":"IF($A637<>\"\",IF(ZOZNAM!K628=\"\",\"\",ZOZNAM!K628),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=1&TabId=155&language=en-US#1aid-aid"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!L628=\"\",\"\",ZOZNAM!L628),\"\")","v":"Describe Asymmetric Warfare: Given a set of parameters, the student will explain the asymmetric warfare concept, its enabling social and environmental considerations, and its potential place in the broader context of hybrid warfare, in accordance with references. Employ Analytic Methodologies to Asymmetric Warfare: Given a set of parameters, the student will employ analytic methodolgies apprpriate to providing comprehensive assessments of asymmetric threats and environments.Provide Intelligence Support to Decision Makers Regarding Asymmetric Threats: Given a set of parameters, students will provide analytic and collections support to strategic and operational level decision makers regarding asymmetric warfer threats and environments, in accordance with references .Synthesize Case Studies: Given parameters, students will be able to integrate lessons learned regarding analytic considerations, intelluigence organizational structure, and collection challenges of previous asymmetric conflicts."},{"$f":"IF($A637<>\"\",IF(ZOZNAM!M628=\"\",\"\",ZOZNAM!M628),\"\")","v":" NATO Unclassified. Participants: Intelligence professionals working or preparing to work at operational or strategic levels with experience in general analytic or collections experience of conventional threats. Applies to Mlitary and Civilian personnel"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!N628=\"\",\"\",ZOZNAM!N628),\"\")","v":"nie"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!O628=\"\",\"\",ZOZNAM!O628),\"\")","v":"nie"},{"$f":"IF($A637<>\"\",IF(ZOZNAM!P628=\"\",\"\",ZOZNAM!P628),\"\")","v":""},{"$f":"IF($A637<>\"\",IF(ZOZNAM!Q628=\"\",\"\",ZOZNAM!Q628),\"\")","v":""},{"$f":"IF($A637<>\"\",IF(ZOZNAM!R628=\"\",\"\",ZOZNAM!R628),\"\")","v":""},{"$f":"IF($A637<>\"\",IF(ZOZNAM!S628=\"\",\"\",ZOZNAM!S628),\"\")","v":""},{"$f":"IF($A637<>\"\",IF(ZOZNAM!T628=\"\",\"\",ZOZNAM!T628),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C629)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C629)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C629)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C629)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C629)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C629)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L629)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L629)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L629)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L629)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L629)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L629)),FALSE))),ZOZNAM!G629>=$C$9),ZOZNAM!A629,\"\")","v":"TS013"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!B629=\"\",\"\",ZOZNAM!B629),\"\")","v":"Tstat"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!C629=\"\",\"\",ZOZNAM!C629),\"\")","v":"Analysing Micro Data in STATA"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!D629=\"\",\"\",ZOZNAM!D629),\"\")","v":"Online"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!E629=\"\",\"\",ZOZNAM!E629),\"\")","v":4},{"$f":"IF($A638<>\"\",IF(ZOZNAM!F629=\"\",\"\",ZOZNAM!F629),\"\")","v":5},{"$f":"IF($A638<>\"\",IF(ZOZNAM!G629=\"\",\"\",ZOZNAM!G629),\"\")","v":"2020-08-31"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!H629=\"\",\"\",ZOZNAM!H629),\"\")","v":"2020-09-04"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!I629=\"\",\"\",ZOZNAM!I629),\"\")","v":"2020 EUR"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!J629=\"\",\"\",ZOZNAM!J629),\"\")","v":"2020-08-10"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!K629=\"\",\"\",ZOZNAM!K629),\"\")","v":"https://www.tstattraining.eu/training/analysing-micro-data-stata-ol/"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!L629=\"\",\"\",ZOZNAM!L629),\"\")","v":"TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health.\n\nTStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: linear models, count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding sessions focus on: i) the Control Function approach for the estimation of non-linear models with endogenous continuous variables; and ii) the latest Stata commands for the estimation of Extended Regression Models (ERM), which implement Maximum Likelihood estimators capable of simultaneously treating issues of Sample Selection and the presence of both endogenous regressors and treatment variables.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course.\n"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!M629=\"\",\"\",ZOZNAM!M629),\"\")","v":"Apply by 10 August 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nThe number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will only be confirmed when at least 5 people have enrolled.\n\nCourse fees cover: teaching materials (handouts, Stata do files and datasets to used during the course) and a temporary licence of Stata valid for 30 days from the beginning of the training course.\n"},{"$f":"IF($A638<>\"\",IF(ZOZNAM!N629=\"\",\"\",ZOZNAM!N629),\"\")","v":""},{"$f":"IF($A638<>\"\",IF(ZOZNAM!O629=\"\",\"\",ZOZNAM!O629),\"\")","v":""},{"$f":"IF($A638<>\"\",IF(ZOZNAM!P629=\"\",\"\",ZOZNAM!P629),\"\")","v":""},{"$f":"IF($A638<>\"\",IF(ZOZNAM!Q629=\"\",\"\",ZOZNAM!Q629),\"\")","v":""},{"$f":"IF($A638<>\"\",IF(ZOZNAM!R629=\"\",\"\",ZOZNAM!R629),\"\")","v":""},{"$f":"IF($A638<>\"\",IF(ZOZNAM!S629=\"\",\"\",ZOZNAM!S629),\"\")","v":""},{"$f":"IF($A638<>\"\",IF(ZOZNAM!T629=\"\",\"\",ZOZNAM!T629),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C630)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C630)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C630)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C630)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C630)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C630)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L630)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L630)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L630)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L630)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L630)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L630)),FALSE))),ZOZNAM!G630>=$C$9),ZOZNAM!A630,\"\")","v":"NS001"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!B630=\"\",\"\",ZOZNAM!B630),\"\")","v":"NATO School"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!C630=\"\",\"\",ZOZNAM!C630),\"\")","v":"NATO Intelligence Course"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!D630=\"\",\"\",ZOZNAM!D630),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!E630=\"\",\"\",ZOZNAM!E630),\"\")","v":3},{"$f":"IF($A639<>\"\",IF(ZOZNAM!F630=\"\",\"\",ZOZNAM!F630),\"\")","v":5},{"$f":"IF($A639<>\"\",IF(ZOZNAM!G630=\"\",\"\",ZOZNAM!G630),\"\")","v":"2020-06-06"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!H630=\"\",\"\",ZOZNAM!H630),\"\")","v":"2020-06-10"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!I630=\"\",\"\",ZOZNAM!I630),\"\")","v":"0 EUR"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!J630=\"\",\"\",ZOZNAM!J630),\"\")","v":""},{"$f":"IF($A639<>\"\",IF(ZOZNAM!K630=\"\",\"\",ZOZNAM!K630),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=3&TabId=155&language=en-US"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!L630=\"\",\"\",ZOZNAM!L630),\"\")","v":"NATO Intelligence Organization, Committees/ Working Groups and NATO Document Hierarchy: From memory, students will describe the NATO intelligence organization, hierarchy, and fundamentals of selected NATO intelligence committees and WGs, as well as the most important NATO intelligence, CI, and security policy documents and doctrines.\n\nDirection Step of the Intelligence Cycle: From memory, the student will describe how the direction step of the intelligence cycle is conducted in NATO, including the supporting concepts, principles and procedures that are used, in accordance with references.\n\nCollection Step of the Intelligence Cycle: From memory, the student will describe how the collection step of the intelligence cycle is conducted within NATO, including the doctrine, directives, capabilities, and limitations, staff officer positions in NCS, as well as experiences from exercises/operations, in accordance with the listed references.\n\nProcessing Step of the Intelligence Cycle: From memory, students will describe how the processing step of the intelligence cycle is conducted in NATO, including some key analyst tools as well as reasons and countermeasures for intelligence failure, in accordance with listed references.\n\nDissemination Step of the Intelligence Cycle: From memory, students will describe how the dissemination step of the intelligence cycle is conducted in NATO, including existing challenges, in accordance with listed references.\n\nNATO Intelligence Networks, Supporting Systems and Transition Plans: From memory, students will describe NATO intelligence networks and support and supporting systems as well as plans for improvements, in accordance with references listed below."},{"$f":"IF($A639<>\"\",IF(ZOZNAM!M630=\"\",\"\",ZOZNAM!M630),\"\")","v":"NATO secret. Participants: civilian equivalents who are assigned to NATO PE/CE positions, work closely with intelligence, or national staff working on NATO intelligence issues. "},{"$f":"IF($A639<>\"\",IF(ZOZNAM!N630=\"\",\"\",ZOZNAM!N630),\"\")","v":"nie"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!O630=\"\",\"\",ZOZNAM!O630),\"\")","v":"nie"},{"$f":"IF($A639<>\"\",IF(ZOZNAM!P630=\"\",\"\",ZOZNAM!P630),\"\")","v":""},{"$f":"IF($A639<>\"\",IF(ZOZNAM!Q630=\"\",\"\",ZOZNAM!Q630),\"\")","v":""},{"$f":"IF($A639<>\"\",IF(ZOZNAM!R630=\"\",\"\",ZOZNAM!R630),\"\")","v":""},{"$f":"IF($A639<>\"\",IF(ZOZNAM!S630=\"\",\"\",ZOZNAM!S630),\"\")","v":""},{"$f":"IF($A639<>\"\",IF(ZOZNAM!T630=\"\",\"\",ZOZNAM!T630),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C631)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C631)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C631)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C631)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C631)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C631)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L631)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L631)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L631)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L631)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L631)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L631)),FALSE))),ZOZNAM!G631>=$C$9),ZOZNAM!A631,\"\")","v":"US003"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!B631=\"\",\"\",ZOZNAM!B631),\"\")","v":"University of Split"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!C631=\"\",\"\",ZOZNAM!C631),\"\")","v":"Data Analysis in R - For Social, Humanities and Biomedical Research"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!D631=\"\",\"\",ZOZNAM!D631),\"\")","v":"Split, Chorvátsko"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!E631=\"\",\"\",ZOZNAM!E631),\"\")","v":4},{"$f":"IF($A640<>\"\",IF(ZOZNAM!F631=\"\",\"\",ZOZNAM!F631),\"\")","v":5},{"$f":"IF($A640<>\"\",IF(ZOZNAM!G631=\"\",\"\",ZOZNAM!G631),\"\")","v":"2020-08-31"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!H631=\"\",\"\",ZOZNAM!H631),\"\")","v":"2020-09-04"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!I631=\"\",\"\",ZOZNAM!I631),\"\")","v":"300 EUR"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!J631=\"\",\"\",ZOZNAM!J631),\"\")","v":"2020-06-01"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!K631=\"\",\"\",ZOZNAM!K631),\"\")","v":"https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/Y3BBWz1pMk-DzfbYxtt0mA/Link/STSS2020-Course-FF-8.pdf"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!L631=\"\",\"\",ZOZNAM!L631),\"\")","v":"Introduction to the basis of the R, RStudio and concept of open source packages.  Application of R in social sciences, biomedicine and humanities.Basic statistics (tables and figures), inferential and multivariate statistical procedures. Reports and writing manuscript with knitr."},{"$f":"IF($A640<>\"\",IF(ZOZNAM!M631=\"\",\"\",ZOZNAM!M631),\"\")","v":"Ubytovanire je možné rezervovať v internátoch univerzity. Je možné objednať si stravovanie."},{"$f":"IF($A640<>\"\",IF(ZOZNAM!N631=\"\",\"\",ZOZNAM!N631),\"\")","v":"nie"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!O631=\"\",\"\",ZOZNAM!O631),\"\")","v":"nie"},{"$f":"IF($A640<>\"\",IF(ZOZNAM!P631=\"\",\"\",ZOZNAM!P631),\"\")","v":""},{"$f":"IF($A640<>\"\",IF(ZOZNAM!Q631=\"\",\"\",ZOZNAM!Q631),\"\")","v":""},{"$f":"IF($A640<>\"\",IF(ZOZNAM!R631=\"\",\"\",ZOZNAM!R631),\"\")","v":""},{"$f":"IF($A640<>\"\",IF(ZOZNAM!S631=\"\",\"\",ZOZNAM!S631),\"\")","v":""},{"$f":"IF($A640<>\"\",IF(ZOZNAM!T631=\"\",\"\",ZOZNAM!T631),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C632)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C632)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C632)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C632)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C632)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C632)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L632)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L632)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L632)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L632)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L632)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L632)),FALSE))),ZOZNAM!G632>=$C$9),ZOZNAM!A632,\"\")","v":"US004"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!B632=\"\",\"\",ZOZNAM!B632),\"\")","v":"University of Split"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!C632=\"\",\"\",ZOZNAM!C632),\"\")","v":"INTRODUCTION TO GIS WITH PRACTICAL APPLICATIONS - Split Summer School"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!D632=\"\",\"\",ZOZNAM!D632),\"\")","v":"Split, Chorvátsko"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!E632=\"\",\"\",ZOZNAM!E632),\"\")","v":4},{"$f":"IF($A641<>\"\",IF(ZOZNAM!F632=\"\",\"\",ZOZNAM!F632),\"\")","v":5},{"$f":"IF($A641<>\"\",IF(ZOZNAM!G632=\"\",\"\",ZOZNAM!G632),\"\")","v":"2020-08-31"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!H632=\"\",\"\",ZOZNAM!H632),\"\")","v":"2020-09-04"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!I632=\"\",\"\",ZOZNAM!I632),\"\")","v":"270 EUR"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!J632=\"\",\"\",ZOZNAM!J632),\"\")","v":"2020-07-30"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!K632=\"\",\"\",ZOZNAM!K632),\"\")","v":"https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/Rb10DNatakOF5S8jtzRYDg/Link/Obrazac%20Predmeta_ENG_2020_GIS.pdf"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!L632=\"\",\"\",ZOZNAM!L632),\"\")","v":"Main topics:\n• GIS concepts\n• Overview of commercial and open source geospatial data and software\n• Geospatial analysis\n• Raster data visualisation and analysis\n• Geospatial data visualisation\n• Web GIS dissemination\nProgramme structure:"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!M632=\"\",\"\",ZOZNAM!M632),\"\")","v":"Apply by 1 July 2020"},{"$f":"IF($A641<>\"\",IF(ZOZNAM!N632=\"\",\"\",ZOZNAM!N632),\"\")","v":""},{"$f":"IF($A641<>\"\",IF(ZOZNAM!O632=\"\",\"\",ZOZNAM!O632),\"\")","v":""},{"$f":"IF($A641<>\"\",IF(ZOZNAM!P632=\"\",\"\",ZOZNAM!P632),\"\")","v":""},{"$f":"IF($A641<>\"\",IF(ZOZNAM!Q632=\"\",\"\",ZOZNAM!Q632),\"\")","v":""},{"$f":"IF($A641<>\"\",IF(ZOZNAM!R632=\"\",\"\",ZOZNAM!R632),\"\")","v":""},{"$f":"IF($A641<>\"\",IF(ZOZNAM!S632=\"\",\"\",ZOZNAM!S632),\"\")","v":""},{"$f":"IF($A641<>\"\",IF(ZOZNAM!T632=\"\",\"\",ZOZNAM!T632),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C633)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C633)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C633)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C633)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C633)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C633)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L633)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L633)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L633)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L633)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L633)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L633)),FALSE))),ZOZNAM!G633>=$C$9),ZOZNAM!A633,\"\")","v":"US005"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!B633=\"\",\"\",ZOZNAM!B633),\"\")","v":"University of Split"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!C633=\"\",\"\",ZOZNAM!C633),\"\")","v":"Introduction to the Energy Efficiency in Buildings - Split Summer School"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!D633=\"\",\"\",ZOZNAM!D633),\"\")","v":"Split, Chorvátsko"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!E633=\"\",\"\",ZOZNAM!E633),\"\")","v":4},{"$f":"IF($A642<>\"\",IF(ZOZNAM!F633=\"\",\"\",ZOZNAM!F633),\"\")","v":5},{"$f":"IF($A642<>\"\",IF(ZOZNAM!G633=\"\",\"\",ZOZNAM!G633),\"\")","v":"2020-08-31"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!H633=\"\",\"\",ZOZNAM!H633),\"\")","v":"2020-09-04"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!I633=\"\",\"\",ZOZNAM!I633),\"\")","v":"300 EUR"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!J633=\"\",\"\",ZOZNAM!J633),\"\")","v":"2020-08-24"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!K633=\"\",\"\",ZOZNAM!K633),\"\")","v":"https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/qoolLWsSMEWxXXcXxTKejw/Link/FESB-STSS2020-Course-Nižetić.pdf"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!L633=\"\",\"\",ZOZNAM!L633),\"\")","v":"Main topics:\n Analysis of thermal losses and heat gains in buildings,\n Analysis of the main energy consumers and energy systems in building facilities,\n Primary fuels used in buildings and their environmental aspect,\n Introduction to the modern energy concepts and in general methods to increase\nenergy efficiency in building facilities,\n Energy efficiency measures in buildings, i.e. their technical and economic aspect (case study)\n Introduction to the sustainable energy management in buildings,\n Introduction to the energy audit and building energy certification"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!M633=\"\",\"\",ZOZNAM!M633),\"\")","v":"Apply by 1 August 2020"},{"$f":"IF($A642<>\"\",IF(ZOZNAM!N633=\"\",\"\",ZOZNAM!N633),\"\")","v":""},{"$f":"IF($A642<>\"\",IF(ZOZNAM!O633=\"\",\"\",ZOZNAM!O633),\"\")","v":""},{"$f":"IF($A642<>\"\",IF(ZOZNAM!P633=\"\",\"\",ZOZNAM!P633),\"\")","v":""},{"$f":"IF($A642<>\"\",IF(ZOZNAM!Q633=\"\",\"\",ZOZNAM!Q633),\"\")","v":""},{"$f":"IF($A642<>\"\",IF(ZOZNAM!R633=\"\",\"\",ZOZNAM!R633),\"\")","v":""},{"$f":"IF($A642<>\"\",IF(ZOZNAM!S633=\"\",\"\",ZOZNAM!S633),\"\")","v":""},{"$f":"IF($A642<>\"\",IF(ZOZNAM!T633=\"\",\"\",ZOZNAM!T633),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C634)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C634)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C634)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C634)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C634)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C634)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L634)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L634)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L634)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L634)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L634)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L634)),FALSE))),ZOZNAM!G634>=$C$9),ZOZNAM!A634,\"\")","v":"PA248"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!B634=\"\",\"\",ZOZNAM!B634),\"\")","v":"Paris School of Economics"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!C634=\"\",\"\",ZOZNAM!C634),\"\")","v":"EXPERIMENTAL ECONOMICS - Empirical tools and methods to investigate economic behavior"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!D634=\"\",\"\",ZOZNAM!D634),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!E634=\"\",\"\",ZOZNAM!E634),\"\")","v":10},{"$f":"IF($A643<>\"\",IF(ZOZNAM!F634=\"\",\"\",ZOZNAM!F634),\"\")","v":12},{"$f":"IF($A643<>\"\",IF(ZOZNAM!G634=\"\",\"\",ZOZNAM!G634),\"\")","v":"2020-06-15"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!H634=\"\",\"\",ZOZNAM!H634),\"\")","v":"2020-06-26"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!I634=\"\",\"\",ZOZNAM!I634),\"\")","v":"2000 EUR"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!J634=\"\",\"\",ZOZNAM!J634),\"\")","v":"2020-03-31"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!K634=\"\",\"\",ZOZNAM!K634),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/experimental-economics/application-and-fees/"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!L634=\"\",\"\",ZOZNAM!L634),\"\")","v":"The program offers an overview of experimental methods and techniques aimed at understanding economic behavior: how to design, implement and analyze an experiment so to answer a research question"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!M634=\"\",\"\",ZOZNAM!M634),\"\")","v":"A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!N634=\"\",\"\",ZOZNAM!N634),\"\")","v":"nie"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!O634=\"\",\"\",ZOZNAM!O634),\"\")","v":"nie"},{"$f":"IF($A643<>\"\",IF(ZOZNAM!P634=\"\",\"\",ZOZNAM!P634),\"\")","v":1},{"$f":"IF($A643<>\"\",IF(ZOZNAM!Q634=\"\",\"\",ZOZNAM!Q634),\"\")","v":""},{"$f":"IF($A643<>\"\",IF(ZOZNAM!R634=\"\",\"\",ZOZNAM!R634),\"\")","v":""},{"$f":"IF($A643<>\"\",IF(ZOZNAM!S634=\"\",\"\",ZOZNAM!S634),\"\")","v":""},{"$f":"IF($A643<>\"\",IF(ZOZNAM!T634=\"\",\"\",ZOZNAM!T634),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C635)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C635)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C635)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C635)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C635)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C635)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L635)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L635)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L635)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L635)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L635)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L635)),FALSE))),ZOZNAM!G635>=$C$9),ZOZNAM!A635,\"\")","v":"PA249"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!B635=\"\",\"\",ZOZNAM!B635),\"\")","v":"Paris School of Economics"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!C635=\"\",\"\",ZOZNAM!C635),\"\")","v":"CLIMATE CHANGE - Impacts, adaptation and political constraints"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!D635=\"\",\"\",ZOZNAM!D635),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!E635=\"\",\"\",ZOZNAM!E635),\"\")","v":5},{"$f":"IF($A644<>\"\",IF(ZOZNAM!F635=\"\",\"\",ZOZNAM!F635),\"\")","v":5},{"$f":"IF($A644<>\"\",IF(ZOZNAM!G635=\"\",\"\",ZOZNAM!G635),\"\")","v":"2020-06-15"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!H635=\"\",\"\",ZOZNAM!H635),\"\")","v":"2020-06-19"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!I635=\"\",\"\",ZOZNAM!I635),\"\")","v":"2000 EUR"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!J635=\"\",\"\",ZOZNAM!J635),\"\")","v":"2020-03-31"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!K635=\"\",\"\",ZOZNAM!K635),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/climate-change/"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!L635=\"\",\"\",ZOZNAM!L635),\"\")","v":"How do we measure the impacts of climate change on economic outcomes? What are the relevant economic instruments to combat climate change in a globalized world? How can migration and trade help countries and individuals mitigate the impacts of climate change and/or disasters? How do lobbying and information acquisition influence the actual climate policies? The Climate Change program introduces participants to the cutting-edge research on the topic and familiarizes them with the relevant methods of analysis (econometric analysis, dynamic modelling)."},{"$f":"IF($A644<>\"\",IF(ZOZNAM!M635=\"\",\"\",ZOZNAM!M635),\"\")","v":"A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!N635=\"\",\"\",ZOZNAM!N635),\"\")","v":"nie"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!O635=\"\",\"\",ZOZNAM!O635),\"\")","v":"nie"},{"$f":"IF($A644<>\"\",IF(ZOZNAM!P635=\"\",\"\",ZOZNAM!P635),\"\")","v":1},{"$f":"IF($A644<>\"\",IF(ZOZNAM!Q635=\"\",\"\",ZOZNAM!Q635),\"\")","v":""},{"$f":"IF($A644<>\"\",IF(ZOZNAM!R635=\"\",\"\",ZOZNAM!R635),\"\")","v":""},{"$f":"IF($A644<>\"\",IF(ZOZNAM!S635=\"\",\"\",ZOZNAM!S635),\"\")","v":""},{"$f":"IF($A644<>\"\",IF(ZOZNAM!T635=\"\",\"\",ZOZNAM!T635),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C636)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C636)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C636)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C636)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C636)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C636)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L636)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L636)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L636)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L636)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L636)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L636)),FALSE))),ZOZNAM!G636>=$C$9),ZOZNAM!A636,\"\")","v":"PA250"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!B636=\"\",\"\",ZOZNAM!B636),\"\")","v":"Paris School of Economics"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!C636=\"\",\"\",ZOZNAM!C636),\"\")","v":"DEVELOPMENT - Inequality, social interactions and institutional dynamics"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!D636=\"\",\"\",ZOZNAM!D636),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!E636=\"\",\"\",ZOZNAM!E636),\"\")","v":5},{"$f":"IF($A645<>\"\",IF(ZOZNAM!F636=\"\",\"\",ZOZNAM!F636),\"\")","v":5},{"$f":"IF($A645<>\"\",IF(ZOZNAM!G636=\"\",\"\",ZOZNAM!G636),\"\")","v":"2020-06-15"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!H636=\"\",\"\",ZOZNAM!H636),\"\")","v":"2020-06-19"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!I636=\"\",\"\",ZOZNAM!I636),\"\")","v":"2000 EUR"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!J636=\"\",\"\",ZOZNAM!J636),\"\")","v":"2020-03-31"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!K636=\"\",\"\",ZOZNAM!K636),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/development/"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!L636=\"\",\"\",ZOZNAM!L636),\"\")","v":"The programme allows you to gain a broader perspective on the development process based on recent academic work. But, it also expands your analytical skills by engaging critically with research questions and methodologies, which can inform policymakers and other stakeholders."},{"$f":"IF($A645<>\"\",IF(ZOZNAM!M636=\"\",\"\",ZOZNAM!M636),\"\")","v":"A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!N636=\"\",\"\",ZOZNAM!N636),\"\")","v":"nie"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!O636=\"\",\"\",ZOZNAM!O636),\"\")","v":"nie"},{"$f":"IF($A645<>\"\",IF(ZOZNAM!P636=\"\",\"\",ZOZNAM!P636),\"\")","v":1},{"$f":"IF($A645<>\"\",IF(ZOZNAM!Q636=\"\",\"\",ZOZNAM!Q636),\"\")","v":""},{"$f":"IF($A645<>\"\",IF(ZOZNAM!R636=\"\",\"\",ZOZNAM!R636),\"\")","v":""},{"$f":"IF($A645<>\"\",IF(ZOZNAM!S636=\"\",\"\",ZOZNAM!S636),\"\")","v":""},{"$f":"IF($A645<>\"\",IF(ZOZNAM!T636=\"\",\"\",ZOZNAM!T636),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C637)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C637)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C637)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C637)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C637)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C637)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L637)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L637)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L637)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L637)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L637)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L637)),FALSE))),ZOZNAM!G637>=$C$9),ZOZNAM!A637,\"\")","v":"PA253"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!B637=\"\",\"\",ZOZNAM!B637),\"\")","v":"Paris School of Economics"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!C637=\"\",\"\",ZOZNAM!C637),\"\")","v":"MIGRATION ECONOMICS - Development impacts of migration and challenges in global labor markets"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!D637=\"\",\"\",ZOZNAM!D637),\"\")","v":"Paríž, Francúzsko"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!E637=\"\",\"\",ZOZNAM!E637),\"\")","v":5},{"$f":"IF($A646<>\"\",IF(ZOZNAM!F637=\"\",\"\",ZOZNAM!F637),\"\")","v":5},{"$f":"IF($A646<>\"\",IF(ZOZNAM!G637=\"\",\"\",ZOZNAM!G637),\"\")","v":"2020-06-15"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!H637=\"\",\"\",ZOZNAM!H637),\"\")","v":"2020-06-19"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!I637=\"\",\"\",ZOZNAM!I637),\"\")","v":"2000 EUR"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!J637=\"\",\"\",ZOZNAM!J637),\"\")","v":"2020-03-31"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!K637=\"\",\"\",ZOZNAM!K637),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/migration-economics/"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!L637=\"\",\"\",ZOZNAM!L637),\"\")","v":"The program focuses on a major aspect of globalization, which is increasingly at the center of the public and policy debate. Professionals will improve their ability to critically evaluate research and gain a better understanding of the economics of migration.Migration is a major aspect of globalization and is increasingly at the center of the public and policy debate. This course aims to present frontier research on the economics of migration and to provide the tools to contribute to this field. What are the microeconomic impacts of migration and how to address the challenge of identifying them? What is the relationship between migration, other dimensions of globalization, and development? What are the public finance and demographic effect of immigration for the host countries? What are the effects of immigration on the labor market? What are the barriers to immigrants’ assimilation?"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!M637=\"\",\"\",ZOZNAM!M637),\"\")","v":"A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!N637=\"\",\"\",ZOZNAM!N637),\"\")","v":"nie"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!O637=\"\",\"\",ZOZNAM!O637),\"\")","v":"nie"},{"$f":"IF($A646<>\"\",IF(ZOZNAM!P637=\"\",\"\",ZOZNAM!P637),\"\")","v":1},{"$f":"IF($A646<>\"\",IF(ZOZNAM!Q637=\"\",\"\",ZOZNAM!Q637),\"\")","v":""},{"$f":"IF($A646<>\"\",IF(ZOZNAM!R637=\"\",\"\",ZOZNAM!R637),\"\")","v":""},{"$f":"IF($A646<>\"\",IF(ZOZNAM!S637=\"\",\"\",ZOZNAM!S637),\"\")","v":""},{"$f":"IF($A646<>\"\",IF(ZOZNAM!T637=\"\",\"\",ZOZNAM!T637),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C638)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C638)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C638)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C638)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C638)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C638)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L638)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L638)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L638)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L638)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L638)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L638)),FALSE))),ZOZNAM!G638>=$C$9),ZOZNAM!A638,\"\")","v":"US006"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!B638=\"\",\"\",ZOZNAM!B638),\"\")","v":"University of Split"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!C638=\"\",\"\",ZOZNAM!C638),\"\")","v":"ENVIRONMENTAL PROTECTION - Split Summer School"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!D638=\"\",\"\",ZOZNAM!D638),\"\")","v":"Split, Chorvátsko"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!E638=\"\",\"\",ZOZNAM!E638),\"\")","v":4},{"$f":"IF($A647<>\"\",IF(ZOZNAM!F638=\"\",\"\",ZOZNAM!F638),\"\")","v":5},{"$f":"IF($A647<>\"\",IF(ZOZNAM!G638=\"\",\"\",ZOZNAM!G638),\"\")","v":"2020-08-31"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!H638=\"\",\"\",ZOZNAM!H638),\"\")","v":"2020-09-04"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!I638=\"\",\"\",ZOZNAM!I638),\"\")","v":"300 EUR"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!J638=\"\",\"\",ZOZNAM!J638),\"\")","v":"2020-08-18"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!K638=\"\",\"\",ZOZNAM!K638),\"\")","v":"https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/rGwtJIuEuUWL18atuKLthQ/Link/Course_KTF_Split%20Summer%20School_2020.pdf"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!L638=\"\",\"\",ZOZNAM!L638),\"\")","v":"Main topics:\n• Origin of chemical pollutants in the sea, with emphasis on its pathway from atmosphere.\n• Introduction to physicochemical and biological water treatment methods and its application.\n• Advances in membrane technologies for water treatment.\n• The role of biopolymers in obtaining environmentally friendly materials."},{"$f":"IF($A647<>\"\",IF(ZOZNAM!M638=\"\",\"\",ZOZNAM!M638),\"\")","v":"Apply by 1 August 2020"},{"$f":"IF($A647<>\"\",IF(ZOZNAM!N638=\"\",\"\",ZOZNAM!N638),\"\")","v":""},{"$f":"IF($A647<>\"\",IF(ZOZNAM!O638=\"\",\"\",ZOZNAM!O638),\"\")","v":""},{"$f":"IF($A647<>\"\",IF(ZOZNAM!P638=\"\",\"\",ZOZNAM!P638),\"\")","v":""},{"$f":"IF($A647<>\"\",IF(ZOZNAM!Q638=\"\",\"\",ZOZNAM!Q638),\"\")","v":""},{"$f":"IF($A647<>\"\",IF(ZOZNAM!R638=\"\",\"\",ZOZNAM!R638),\"\")","v":""},{"$f":"IF($A647<>\"\",IF(ZOZNAM!S638=\"\",\"\",ZOZNAM!S638),\"\")","v":""},{"$f":"IF($A647<>\"\",IF(ZOZNAM!T638=\"\",\"\",ZOZNAM!T638),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C643)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C643)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C643)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C643)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C643)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C643)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L643)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L643)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L643)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L643)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L643)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L643)),FALSE))),ZOZNAM!G643>=$C$9),ZOZNAM!A643,\"\")","v":"PT016"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!B643=\"\",\"\",ZOZNAM!B643),\"\")","v":"PTV Group"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!C643=\"\",\"\",ZOZNAM!C643),\"\")","v":"Creating a macroscopic 4 step transport model"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!D643=\"\",\"\",ZOZNAM!D643),\"\")","v":"Karlsruhe, Nemecko"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!E643=\"\",\"\",ZOZNAM!E643),\"\")","v":2},{"$f":"IF($A652<>\"\",IF(ZOZNAM!F643=\"\",\"\",ZOZNAM!F643),\"\")","v":2},{"$f":"IF($A652<>\"\",IF(ZOZNAM!G643=\"\",\"\",ZOZNAM!G643),\"\")","v":"2020-05-04"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!H643=\"\",\"\",ZOZNAM!H643),\"\")","v":"2020-05-05"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!I643=\"\",\"\",ZOZNAM!I643),\"\")","v":"963,92 EUR"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!J643=\"\",\"\",ZOZNAM!J643),\"\")","v":""},{"$f":"IF($A652<>\"\",IF(ZOZNAM!K643=\"\",\"\",ZOZNAM!K643),\"\")","v":"https://www.ptvgroup.com/en/training/courses/tr-t0109/"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!L643=\"\",\"\",ZOZNAM!L643),\"\")","v":"The standard 4-step model generally includes the steps trip generation, trip distribution, mode choice, and assignment. In Visum the variants 4-step model with sequential calculation and Nested demand model can be used. The two variants have in common that both trip generation and assignment are carried out in separate steps, either before or after calculation of the demand matrices.This two-day course will first introduce you to the various modelling methods. After describing all demand models available in PTV Visum, the course covers in detail the subjects of model segmentation, data supply, calibration and validation. The actual implementation of these subjects in PTV Visum is explained and participants practice with a training model."},{"$f":"IF($A652<>\"\",IF(ZOZNAM!M643=\"\",\"\",ZOZNAM!M643),\"\")","v":"Cena v režime Early bird. "},{"$f":"IF($A652<>\"\",IF(ZOZNAM!N643=\"\",\"\",ZOZNAM!N643),\"\")","v":"nie"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!O643=\"\",\"\",ZOZNAM!O643),\"\")","v":"nie"},{"$f":"IF($A652<>\"\",IF(ZOZNAM!P643=\"\",\"\",ZOZNAM!P643),\"\")","v":""},{"$f":"IF($A652<>\"\",IF(ZOZNAM!Q643=\"\",\"\",ZOZNAM!Q643),\"\")","v":""},{"$f":"IF($A652<>\"\",IF(ZOZNAM!R643=\"\",\"\",ZOZNAM!R643),\"\")","v":""},{"$f":"IF($A652<>\"\",IF(ZOZNAM!S643=\"\",\"\",ZOZNAM!S643),\"\")","v":""},{"$f":"IF($A652<>\"\",IF(ZOZNAM!T643=\"\",\"\",ZOZNAM!T643),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C644)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C644)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C644)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C644)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C644)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C644)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L644)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L644)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L644)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L644)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L644)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L644)),FALSE))),ZOZNAM!G644>=$C$9),ZOZNAM!A644,\"\")","v":"PT014"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!B644=\"\",\"\",ZOZNAM!B644),\"\")","v":"PTV Group"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!C644=\"\",\"\",ZOZNAM!C644),\"\")","v":"Demand model Visem"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!D644=\"\",\"\",ZOZNAM!D644),\"\")","v":"Karlsruhe, Nemecko"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!E644=\"\",\"\",ZOZNAM!E644),\"\")","v":1},{"$f":"IF($A653<>\"\",IF(ZOZNAM!F644=\"\",\"\",ZOZNAM!F644),\"\")","v":1},{"$f":"IF($A653<>\"\",IF(ZOZNAM!G644=\"\",\"\",ZOZNAM!G644),\"\")","v":"2020-05-06"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!H644=\"\",\"\",ZOZNAM!H644),\"\")","v":"2020-05-06"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!I644=\"\",\"\",ZOZNAM!I644),\"\")","v":"481,95 EUR"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!J644=\"\",\"\",ZOZNAM!J644),\"\")","v":""},{"$f":"IF($A653<>\"\",IF(ZOZNAM!K644=\"\",\"\",ZOZNAM!K644),\"\")","v":"https://www.ptvgroup.com/en/training/courses/tr-t0116/"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!L644=\"\",\"\",ZOZNAM!L644),\"\")","v":"The tour-based model Visem is a disaggregated, behavior-oriented demand model which allows the planner to include all kinds of data relating to socio-demography and traffic policy issues. The tour-based model calculates three logical work unit: Trip generation, Trip distribution and Mode choice. These three logical units are not processed separately in succession by the tour-based model, but are interlocked. Especially steps 2 and 3, Trip distribution and Mode choice are carried out simultaneous in a single procedure. In all three work units two important concepts have been implemented for the tour-based model: Calculation on the basis of groups with homogeneous behavior and activity chains."},{"$f":"IF($A653<>\"\",IF(ZOZNAM!M644=\"\",\"\",ZOZNAM!M644),\"\")","v":"Cena v režime Early bird. "},{"$f":"IF($A653<>\"\",IF(ZOZNAM!N644=\"\",\"\",ZOZNAM!N644),\"\")","v":"nie"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!O644=\"\",\"\",ZOZNAM!O644),\"\")","v":"nie"},{"$f":"IF($A653<>\"\",IF(ZOZNAM!P644=\"\",\"\",ZOZNAM!P644),\"\")","v":""},{"$f":"IF($A653<>\"\",IF(ZOZNAM!Q644=\"\",\"\",ZOZNAM!Q644),\"\")","v":""},{"$f":"IF($A653<>\"\",IF(ZOZNAM!R644=\"\",\"\",ZOZNAM!R644),\"\")","v":""},{"$f":"IF($A653<>\"\",IF(ZOZNAM!S644=\"\",\"\",ZOZNAM!S644),\"\")","v":""},{"$f":"IF($A653<>\"\",IF(ZOZNAM!T644=\"\",\"\",ZOZNAM!T644),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C649)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C649)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C649)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C649)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C649)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C649)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L649)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L649)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L649)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L649)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L649)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L649)),FALSE))),ZOZNAM!G649>=$C$9),ZOZNAM!A649,\"\")","v":"MF013"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!B649=\"\",\"\",ZOZNAM!B649),\"\")","v":"International Monetary Fund"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!C649=\"\",\"\",ZOZNAM!C649),\"\")","v":"Financial Market Analysis (FMAx)"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!D649=\"\",\"\",ZOZNAM!D649),\"\")","v":"Online"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!E649=\"\",\"\",ZOZNAM!E649),\"\")","v":83},{"$f":"IF($A658<>\"\",IF(ZOZNAM!F649=\"\",\"\",ZOZNAM!F649),\"\")","v":122},{"$f":"IF($A658<>\"\",IF(ZOZNAM!G649=\"\",\"\",ZOZNAM!G649),\"\")","v":"2020-09-01"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!H649=\"\",\"\",ZOZNAM!H649),\"\")","v":"2020-12-31"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!I649=\"\",\"\",ZOZNAM!I649),\"\")","v":"0 EUR"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!J649=\"\",\"\",ZOZNAM!J649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!K649=\"\",\"\",ZOZNAM!K649),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FMAxOL20-09"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!L649=\"\",\"\",ZOZNAM!L649),\"\")","v":"This online course, presented by the Institute for Capacity Development, introduces participants to the fundamentals of financial analysis that are in the toolkit of policy makers. These tools are used to study the characteristics of various financial instruments and their pricing, analyze portfolios of assets, gaining familiarity with the basics of risk management. Mastery is essential for participants who wish to participate in more advanced and policy-oriented IMF courses in financial or macrofinancial areas. The FMAx course covers, among other topics, the pricing of fixed-income securities and equity; the term structure of interest rates; portfolio allocation and diversification; and an introduction to risk management."},{"$f":"IF($A658<>\"\",IF(ZOZNAM!M649=\"\",\"\",ZOZNAM!M649),\"\")","v":"Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A658<>\"\",IF(ZOZNAM!N649=\"\",\"\",ZOZNAM!N649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!O649=\"\",\"\",ZOZNAM!O649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!P649=\"\",\"\",ZOZNAM!P649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!Q649=\"\",\"\",ZOZNAM!Q649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!R649=\"\",\"\",ZOZNAM!R649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!S649=\"\",\"\",ZOZNAM!S649),\"\")","v":""},{"$f":"IF($A658<>\"\",IF(ZOZNAM!T649=\"\",\"\",ZOZNAM!T649),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C650)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C650)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C650)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C650)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C650)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C650)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L650)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L650)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L650)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L650)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L650)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L650)),FALSE))),ZOZNAM!G650>=$C$9),ZOZNAM!A650,\"\")","v":"MF014"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!B650=\"\",\"\",ZOZNAM!B650),\"\")","v":"International Monetary Fund"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!C650=\"\",\"\",ZOZNAM!C650),\"\")","v":"Financial Programming and Policies, Part 1: Macroeconomic Accounts and Analysis (FPP.1x)"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!D650=\"\",\"\",ZOZNAM!D650),\"\")","v":"Online"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!E650=\"\",\"\",ZOZNAM!E650),\"\")","v":83},{"$f":"IF($A659<>\"\",IF(ZOZNAM!F650=\"\",\"\",ZOZNAM!F650),\"\")","v":122},{"$f":"IF($A659<>\"\",IF(ZOZNAM!G650=\"\",\"\",ZOZNAM!G650),\"\")","v":"2020-09-01"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!H650=\"\",\"\",ZOZNAM!H650),\"\")","v":"2020-12-31"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!I650=\"\",\"\",ZOZNAM!I650),\"\")","v":"0 EUR"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!J650=\"\",\"\",ZOZNAM!J650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!K650=\"\",\"\",ZOZNAM!K650),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-1xOL20-115"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!L650=\"\",\"\",ZOZNAM!L650),\"\")","v":"This online course, presented by the Institute for Capacity Development, explains the basic skills required to conduct financial programming; the principal features of the accounts of the four main sectors that comprise the macroeconomy (real, fiscal, external, and monetary); and how they relate to each other. For each sector, the course presents the accounting framework, interpretations of variables and indicators from these accounts, and basic analysis of the accounts."},{"$f":"IF($A659<>\"\",IF(ZOZNAM!M650=\"\",\"\",ZOZNAM!M650),\"\")","v":"Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A659<>\"\",IF(ZOZNAM!N650=\"\",\"\",ZOZNAM!N650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!O650=\"\",\"\",ZOZNAM!O650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!P650=\"\",\"\",ZOZNAM!P650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!Q650=\"\",\"\",ZOZNAM!Q650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!R650=\"\",\"\",ZOZNAM!R650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!S650=\"\",\"\",ZOZNAM!S650),\"\")","v":""},{"$f":"IF($A659<>\"\",IF(ZOZNAM!T650=\"\",\"\",ZOZNAM!T650),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C651)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C651)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C651)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C651)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C651)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C651)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L651)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L651)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L651)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L651)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L651)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L651)),FALSE))),ZOZNAM!G651>=$C$9),ZOZNAM!A651,\"\")","v":"SI003"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!B651=\"\",\"\",ZOZNAM!B651),\"\")","v":"SIdE (Società Italiana di Econometria) "},{"$f":"IF($A660<>\"\",IF(ZOZNAM!C651=\"\",\"\",ZOZNAM!C651),\"\")","v":"Introductory Econometrics"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!D651=\"\",\"\",ZOZNAM!D651),\"\")","v":"Bertinoro, Taliansko"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!E651=\"\",\"\",ZOZNAM!E651),\"\")","v":5},{"$f":"IF($A660<>\"\",IF(ZOZNAM!F651=\"\",\"\",ZOZNAM!F651),\"\")","v":7},{"$f":"IF($A660<>\"\",IF(ZOZNAM!G651=\"\",\"\",ZOZNAM!G651),\"\")","v":"2020-06-07"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!H651=\"\",\"\",ZOZNAM!H651),\"\")","v":"2020-06-13"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!I651=\"\",\"\",ZOZNAM!I651),\"\")","v":"2 300 EUR"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!J651=\"\",\"\",ZOZNAM!J651),\"\")","v":"2020-04-18"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!K651=\"\",\"\",ZOZNAM!K651),\"\")","v":"https://www.side-iea.it/events/courses/introductory-econometrics-2020"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!L651=\"\",\"\",ZOZNAM!L651),\"\")","v":"The course requires a working knowledge of basic linear algebra, statistical inference and multiple linear regression model with the notation of linear algebra (matrices and vectors).Linear regression, seemingly unrelated regressions, simultaneous equations, maximum likelihood: Classical linear regression model (refresh).Elements of asymptotic theory: law of large numbers and central limit theorem (outline).Introduction to stochastic processes and Wold representation. Introduction to time series analysis.Likelihood: definition, score vector, information matrix, Cramer-Rao inequality, maximum likelihood, consistency, asymptotic efficiency.Seemingly unrelated regression equations (SURE): generalized least squares (GLS), feasible GLS, maximum likelihood (iterative GLS, hints).Simultaneous equations model: structural form and reduced form, static and dynamic solution, impact and dynamic multipliers, forecast, scenarios and economic policy. Identification: rank and order condition.Estimation: instrumental variables, limited-information methods (2SLS, LIVE, IIV)\n\n"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!M651=\"\",\"\",ZOZNAM!M651),\"\")","v":"V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€."},{"$f":"IF($A660<>\"\",IF(ZOZNAM!N651=\"\",\"\",ZOZNAM!N651),\"\")","v":"áno"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!O651=\"\",\"\",ZOZNAM!O651),\"\")","v":"nie"},{"$f":"IF($A660<>\"\",IF(ZOZNAM!P651=\"\",\"\",ZOZNAM!P651),\"\")","v":""},{"$f":"IF($A660<>\"\",IF(ZOZNAM!Q651=\"\",\"\",ZOZNAM!Q651),\"\")","v":""},{"$f":"IF($A660<>\"\",IF(ZOZNAM!R651=\"\",\"\",ZOZNAM!R651),\"\")","v":""},{"$f":"IF($A660<>\"\",IF(ZOZNAM!S651=\"\",\"\",ZOZNAM!S651),\"\")","v":""},{"$f":"IF($A660<>\"\",IF(ZOZNAM!T651=\"\",\"\",ZOZNAM!T651),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C652)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C652)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C652)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C652)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C652)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C652)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L652)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L652)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L652)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L652)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L652)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L652)),FALSE))),ZOZNAM!G652>=$C$9),ZOZNAM!A652,\"\")","v":"SI004"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!B652=\"\",\"\",ZOZNAM!B652),\"\")","v":"SIdE (Società Italiana di Econometria) "},{"$f":"IF($A661<>\"\",IF(ZOZNAM!C652=\"\",\"\",ZOZNAM!C652),\"\")","v":"Financial Time Series and High Frequency Econometrics"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!D652=\"\",\"\",ZOZNAM!D652),\"\")","v":"Bertinoro, Taliansko"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!E652=\"\",\"\",ZOZNAM!E652),\"\")","v":5},{"$f":"IF($A661<>\"\",IF(ZOZNAM!F652=\"\",\"\",ZOZNAM!F652),\"\")","v":6},{"$f":"IF($A661<>\"\",IF(ZOZNAM!G652=\"\",\"\",ZOZNAM!G652),\"\")","v":"2020-06-15"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!H652=\"\",\"\",ZOZNAM!H652),\"\")","v":"2020-06-20"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!I652=\"\",\"\",ZOZNAM!I652),\"\")","v":"2 300 EUR"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!J652=\"\",\"\",ZOZNAM!J652),\"\")","v":"2020-04-18"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!K652=\"\",\"\",ZOZNAM!K652),\"\")","v":"https://www.side-iea.it/events/courses/financial-time-series-and-high-frequency-econometrics-2020"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!L652=\"\",\"\",ZOZNAM!L652),\"\")","v":"Models for daily returns (based on EOD information):Modelling and forecasting the conditional mean of returns (level): ARMA and ARIMA models; Modelling and forecasting conditional variance of returns (volatility): GARCH models and their variants; Modelling and forecasting conditional covariances and correlations: Multivariate GARCH models.High frequency econometrics:Features of intra-daily data;Volatility estimation with Jumps and microstructure noise;Volatility modeling and forecasting using high frequency data;GARCH type models using realized information (Realized GARCH, HEAVY);Dynamic models for realized measures (HAR, MEM);Localized (high frequency) regressions;Realized covariances and correlations: estimation challenges and dynamic models.\nPortfolio construction and optimization:\n- Predicting time-varying expected returns; the problem of persistent regressors;\n- Estimating and predicting covariance matrices;\n- Factor models: linear observable factors specification and estimation;\n- Estimating risk premia in cross-section, Fama-McBeth regressions;\n- Portfolio optimization.\nRisk management:\n- Backtesting and Evaluation of volatility forecast;\n- Risk measures: VaR, Expected Shortfall; parametric and semiparametric approaches; conditional quantiles and expectiles."},{"$f":"IF($A661<>\"\",IF(ZOZNAM!M652=\"\",\"\",ZOZNAM!M652),\"\")","v":"V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€."},{"$f":"IF($A661<>\"\",IF(ZOZNAM!N652=\"\",\"\",ZOZNAM!N652),\"\")","v":"áno"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!O652=\"\",\"\",ZOZNAM!O652),\"\")","v":"nie"},{"$f":"IF($A661<>\"\",IF(ZOZNAM!P652=\"\",\"\",ZOZNAM!P652),\"\")","v":""},{"$f":"IF($A661<>\"\",IF(ZOZNAM!Q652=\"\",\"\",ZOZNAM!Q652),\"\")","v":""},{"$f":"IF($A661<>\"\",IF(ZOZNAM!R652=\"\",\"\",ZOZNAM!R652),\"\")","v":""},{"$f":"IF($A661<>\"\",IF(ZOZNAM!S652=\"\",\"\",ZOZNAM!S652),\"\")","v":""},{"$f":"IF($A661<>\"\",IF(ZOZNAM!T652=\"\",\"\",ZOZNAM!T652),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C653)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C653)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C653)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C653)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C653)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C653)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L653)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L653)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L653)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L653)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L653)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L653)),FALSE))),ZOZNAM!G653>=$C$9),ZOZNAM!A653,\"\")","v":"MF015"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!B653=\"\",\"\",ZOZNAM!B653),\"\")","v":"International Monetary Fund"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!C653=\"\",\"\",ZOZNAM!C653),\"\")","v":"Financial Programming and Policies, Part 2: Program Design (FPP.2x)"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!D653=\"\",\"\",ZOZNAM!D653),\"\")","v":"Online"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!E653=\"\",\"\",ZOZNAM!E653),\"\")","v":83},{"$f":"IF($A662<>\"\",IF(ZOZNAM!F653=\"\",\"\",ZOZNAM!F653),\"\")","v":122},{"$f":"IF($A662<>\"\",IF(ZOZNAM!G653=\"\",\"\",ZOZNAM!G653),\"\")","v":"2020-09-01"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!H653=\"\",\"\",ZOZNAM!H653),\"\")","v":"2020-12-31"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!I653=\"\",\"\",ZOZNAM!I653),\"\")","v":"0 EUR"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!J653=\"\",\"\",ZOZNAM!J653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!K653=\"\",\"\",ZOZNAM!K653),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-2xOL20-116"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!L653=\"\",\"\",ZOZNAM!L653),\"\")","v":"This online course, presented by the Institute for Capacity Development, builds on the FPP.1x course to expand participants’ understanding of the design and application of macroeconomic and financial policies. It presents simple forecasting methods for each macroeconomic sector, explains the baseline assumptions for the diagnosis of macroeconomic performance, and demonstrates the preparation of a macroeconomic adjustment program for a case study country."},{"$f":"IF($A662<>\"\",IF(ZOZNAM!M653=\"\",\"\",ZOZNAM!M653),\"\")","v":"Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"},{"$f":"IF($A662<>\"\",IF(ZOZNAM!N653=\"\",\"\",ZOZNAM!N653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!O653=\"\",\"\",ZOZNAM!O653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!P653=\"\",\"\",ZOZNAM!P653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!Q653=\"\",\"\",ZOZNAM!Q653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!R653=\"\",\"\",ZOZNAM!R653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!S653=\"\",\"\",ZOZNAM!S653),\"\")","v":""},{"$f":"IF($A662<>\"\",IF(ZOZNAM!T653=\"\",\"\",ZOZNAM!T653),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C655)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C655)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C655)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C655)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C655)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C655)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L655)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L655)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L655)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L655)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L655)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L655)),FALSE))),ZOZNAM!G655>=$C$9),ZOZNAM!A655,\"\")","v":"HA102"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!B655=\"\",\"\",ZOZNAM!B655),\"\")","v":"Harvard "},{"$f":"IF($A664<>\"\",IF(ZOZNAM!C655=\"\",\"\",ZOZNAM!C655),\"\")","v":"Global Health Delivery"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!D655=\"\",\"\",ZOZNAM!D655),\"\")","v":"Online"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!E655=\"\",\"\",ZOZNAM!E655),\"\")","v":53},{"$f":"IF($A664<>\"\",IF(ZOZNAM!F655=\"\",\"\",ZOZNAM!F655),\"\")","v":77},{"$f":"IF($A664<>\"\",IF(ZOZNAM!G655=\"\",\"\",ZOZNAM!G655),\"\")","v":"2020-09-02"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!H655=\"\",\"\",ZOZNAM!H655),\"\")","v":"2020-11-17"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!I655=\"\",\"\",ZOZNAM!I655),\"\")","v":"2200 USD"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!J655=\"\",\"\",ZOZNAM!J655),\"\")","v":"2020-08-25"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!K655=\"\",\"\",ZOZNAM!K655),\"\")","v":"https://online-learning.harvard.edu/course/global-health-delivery?delta=1"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!L655=\"\",\"\",ZOZNAM!L655),\"\")","v":"What you'll learn\nIdentify and integrate caregivers at all levels of intervention and policy design\nAnalyze the relationship between economic development and improved health outcomes\nArticulate the influence of neoliberalism on global health policy\nRecognize key stakeholders in the creation and implementation of healthcare delivery models and associated policies\nRecommend methods to adapt healthcare models from case studies"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!M655=\"\",\"\",ZOZNAM!M655),\"\")","v":"8-12 hours per week"},{"$f":"IF($A664<>\"\",IF(ZOZNAM!N655=\"\",\"\",ZOZNAM!N655),\"\")","v":""},{"$f":"IF($A664<>\"\",IF(ZOZNAM!O655=\"\",\"\",ZOZNAM!O655),\"\")","v":""},{"$f":"IF($A664<>\"\",IF(ZOZNAM!P655=\"\",\"\",ZOZNAM!P655),\"\")","v":""},{"$f":"IF($A664<>\"\",IF(ZOZNAM!Q655=\"\",\"\",ZOZNAM!Q655),\"\")","v":""},{"$f":"IF($A664<>\"\",IF(ZOZNAM!R655=\"\",\"\",ZOZNAM!R655),\"\")","v":""},{"$f":"IF($A664<>\"\",IF(ZOZNAM!S655=\"\",\"\",ZOZNAM!S655),\"\")","v":""},{"$f":"IF($A664<>\"\",IF(ZOZNAM!T655=\"\",\"\",ZOZNAM!T655),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C657)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C657)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C657)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C657)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C657)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C657)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L657)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L657)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L657)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L657)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L657)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L657)),FALSE))),ZOZNAM!G657>=$C$9),ZOZNAM!A657,\"\")","v":"LO239"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!B657=\"\",\"\",ZOZNAM!B657),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!C657=\"\",\"\",ZOZNAM!C657),\"\")","v":"Machine Learning: Practical Applications"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!D657=\"\",\"\",ZOZNAM!D657),\"\")","v":"Online"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!E657=\"\",\"\",ZOZNAM!E657),\"\")","v":45},{"$f":"IF($A666<>\"\",IF(ZOZNAM!F657=\"\",\"\",ZOZNAM!F657),\"\")","v":64},{"$f":"IF($A666<>\"\",IF(ZOZNAM!G657=\"\",\"\",ZOZNAM!G657),\"\")","v":"2020-09-02"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!H657=\"\",\"\",ZOZNAM!H657),\"\")","v":"2020-11-04"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!I657=\"\",\"\",ZOZNAM!I657),\"\")","v":"2 100 GBP"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!J657=\"\",\"\",ZOZNAM!J657),\"\")","v":"2020-08-25"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!K657=\"\",\"\",ZOZNAM!K657),\"\")","v":"http://www.lse.ac.uk/study-at-lse/Online-learning/Courses/Machine-Learning-Practical-Applications"},{"$f":"IF($A666<>\"\",IF(ZOZNAM!L657=\"\",\"\",ZOZNAM!L657),\"\")","v":"Machine learning is becoming an increasingly important analytical tool, enabling  businesses to extract meaningful information from raw data, offering accurate analyses and complex solutions to data-rich problems. The Machine Learning: Practical Applications online certificate course from the London School of Economics and Political Science (LSE) focuses on the practical applications of machine learning in modern business analytics and equips you with the technical skills and knowledge to apply machine learning techniques to real-world business problems. \n\nDivided into two parts, the first part of the course explores how to learn from data, introducing you to the core principles of machine learning. During the second part of the course, you’ll gain an in-depth understanding of a variety of machine learning techniques that you can apply when analysing big data including regression, variable selection and shrinkage methods, classification, tree-based methods, ensemble learning, unsupervised learning, and an introduction to neural networks. Over the course of eight weeks, you’ll learn how to match a suitable machine learning technique to a particular problem to make accurate predictions and inform business decisions.\n\nUnderstand how these methods can help data scientists, business leaders, analysts, and professionals problem-solve and innovate through informed, data-driven decision-making."},{"$f":"IF($A666<>\"\",IF(ZOZNAM!M657=\"\",\"\",ZOZNAM!M657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!N657=\"\",\"\",ZOZNAM!N657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!O657=\"\",\"\",ZOZNAM!O657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!P657=\"\",\"\",ZOZNAM!P657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!Q657=\"\",\"\",ZOZNAM!Q657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!R657=\"\",\"\",ZOZNAM!R657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!S657=\"\",\"\",ZOZNAM!S657),\"\")","v":""},{"$f":"IF($A666<>\"\",IF(ZOZNAM!T657=\"\",\"\",ZOZNAM!T657),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C658)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C658)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C658)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C658)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C658)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C658)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L658)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L658)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L658)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L658)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L658)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L658)),FALSE))),ZOZNAM!G658>=$C$9),ZOZNAM!A658,\"\")","v":"TI293"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!B658=\"\",\"\",ZOZNAM!B658),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!C658=\"\",\"\",ZOZNAM!C658),\"\")","v":"Stata Programming Workshop: Introduction and Advanced "},{"$f":"IF($A667<>\"\",IF(ZOZNAM!D658=\"\",\"\",ZOZNAM!D658),\"\")","v":"Online"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!E658=\"\",\"\",ZOZNAM!E658),\"\")","v":5},{"$f":"IF($A667<>\"\",IF(ZOZNAM!F658=\"\",\"\",ZOZNAM!F658),\"\")","v":7},{"$f":"IF($A667<>\"\",IF(ZOZNAM!G658=\"\",\"\",ZOZNAM!G658),\"\")","v":"2020-09-03"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!H658=\"\",\"\",ZOZNAM!H658),\"\")","v":"2020-09-09"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!I658=\"\",\"\",ZOZNAM!I658),\"\")","v":"450 (part I in specific dates and part 2 in specific dates) - 720 (two parts in 4 days)"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!J658=\"\",\"\",ZOZNAM!J658),\"\")","v":"2020-09-01"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!K658=\"\",\"\",ZOZNAM!K658),\"\")","v":"https://www.timberlake.co.uk/courses/stata-programming-workshop-uk-20.html"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!L658=\"\",\"\",ZOZNAM!L658),\"\")","v":"Delivered online using Zoom Webinars, this course is presented in a two part sequence and will teach Stata Programming at an introductory and advanced level.\n\nThe first part, is for Stata users, professionals and researchers from all academic disciplines, who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques. \n\nThe second part, is for users who have completed the companion course Introduction to Stata Programming and would like to use more advanced features of the Stata and Mata programming languages. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to implement new Stata commands with ado-files and egen functions. Mata programming techniques will illustrate how this language can be used to simplify and accelerate computations.\n"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!M658=\"\",\"\",ZOZNAM!M658),\"\")","v":"Apply and pay before 2 September 2020"},{"$f":"IF($A667<>\"\",IF(ZOZNAM!N658=\"\",\"\",ZOZNAM!N658),\"\")","v":""},{"$f":"IF($A667<>\"\",IF(ZOZNAM!O658=\"\",\"\",ZOZNAM!O658),\"\")","v":""},{"$f":"IF($A667<>\"\",IF(ZOZNAM!P658=\"\",\"\",ZOZNAM!P658),\"\")","v":2},{"$f":"IF($A667<>\"\",IF(ZOZNAM!Q658=\"\",\"\",ZOZNAM!Q658),\"\")","v":""},{"$f":"IF($A667<>\"\",IF(ZOZNAM!R658=\"\",\"\",ZOZNAM!R658),\"\")","v":""},{"$f":"IF($A667<>\"\",IF(ZOZNAM!S658=\"\",\"\",ZOZNAM!S658),\"\")","v":""},{"$f":"IF($A667<>\"\",IF(ZOZNAM!T658=\"\",\"\",ZOZNAM!T658),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C660)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C660)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C660)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C660)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C660)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C660)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L660)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L660)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L660)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L660)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L660)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L660)),FALSE))),ZOZNAM!G660>=$C$9),ZOZNAM!A660,\"\")","v":"IP016"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!B660=\"\",\"\",ZOZNAM!B660),\"\")","v":"ictPRO"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!C660=\"\",\"\",ZOZNAM!C660),\"\")","v":"Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!D660=\"\",\"\",ZOZNAM!D660),\"\")","v":"Praha, Česko"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!E660=\"\",\"\",ZOZNAM!E660),\"\")","v":3},{"$f":"IF($A669<>\"\",IF(ZOZNAM!F660=\"\",\"\",ZOZNAM!F660),\"\")","v":3},{"$f":"IF($A669<>\"\",IF(ZOZNAM!G660=\"\",\"\",ZOZNAM!G660),\"\")","v":"2020-09-07"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!H660=\"\",\"\",ZOZNAM!H660),\"\")","v":"2020-09-09"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!I660=\"\",\"\",ZOZNAM!I660),\"\")","v":"10 900 Kč"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!J660=\"\",\"\",ZOZNAM!J660),\"\")","v":""},{"$f":"IF($A669<>\"\",IF(ZOZNAM!K660=\"\",\"\",ZOZNAM!K660),\"\")","v":"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!L660=\"\",\"\",ZOZNAM!L660),\"\")","v":"Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL."},{"$f":"IF($A669<>\"\",IF(ZOZNAM!M660=\"\",\"\",ZOZNAM!M660),\"\")","v":""},{"$f":"IF($A669<>\"\",IF(ZOZNAM!N660=\"\",\"\",ZOZNAM!N660),\"\")","v":"nie"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!O660=\"\",\"\",ZOZNAM!O660),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A669<>\"\",IF(ZOZNAM!P660=\"\",\"\",ZOZNAM!P660),\"\")","v":""},{"$f":"IF($A669<>\"\",IF(ZOZNAM!Q660=\"\",\"\",ZOZNAM!Q660),\"\")","v":""},{"$f":"IF($A669<>\"\",IF(ZOZNAM!R660=\"\",\"\",ZOZNAM!R660),\"\")","v":""},{"$f":"IF($A669<>\"\",IF(ZOZNAM!S660=\"\",\"\",ZOZNAM!S660),\"\")","v":""},{"$f":"IF($A669<>\"\",IF(ZOZNAM!T660=\"\",\"\",ZOZNAM!T660),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C661)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C661)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C661)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C661)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C661)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C661)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L661)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L661)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L661)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L661)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L661)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L661)),FALSE))),ZOZNAM!G661>=$C$9),ZOZNAM!A661,\"\")","v":"LO234"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!B661=\"\",\"\",ZOZNAM!B661),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!C661=\"\",\"\",ZOZNAM!C661),\"\")","v":"Managing Inclusive Development in Emerging Societies"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!D661=\"\",\"\",ZOZNAM!D661),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!E661=\"\",\"\",ZOZNAM!E661),\"\")","v":5},{"$f":"IF($A670<>\"\",IF(ZOZNAM!F661=\"\",\"\",ZOZNAM!F661),\"\")","v":5},{"$f":"IF($A670<>\"\",IF(ZOZNAM!G661=\"\",\"\",ZOZNAM!G661),\"\")","v":"2020-09-07"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!H661=\"\",\"\",ZOZNAM!H661),\"\")","v":"2020-09-11"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!I661=\"\",\"\",ZOZNAM!I661),\"\")","v":"3,995 GBP (4610 EUR)"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!J661=\"\",\"\",ZOZNAM!J661),\"\")","v":""},{"$f":"IF($A670<>\"\",IF(ZOZNAM!K661=\"\",\"\",ZOZNAM!K661),\"\")","v":"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/managing-inclusive-development-in-emerging-societies"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!L661=\"\",\"\",ZOZNAM!L661),\"\")","v":"The course provides an interdisciplinary and critical approach to the theories and practices being used to address problems of governance, economic growth, equity and stability, and social inclusion in the Global South. You’ll also benefit from studying alongside practitioners from around the globe, enhancing your professional network. London is hub for international development and LSE is a world leader in this subject.\n\nUpon completion the course your ability to design, monitor and evaluate policies, programmes and projects in societies at different levels of development will be significantly increased."},{"$f":"IF($A670<>\"\",IF(ZOZNAM!M661=\"\",\"\",ZOZNAM!M661),\"\")","v":"Tuition Fee: £3,995\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days."},{"$f":"IF($A670<>\"\",IF(ZOZNAM!N661=\"\",\"\",ZOZNAM!N661),\"\")","v":"nie"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!O661=\"\",\"\",ZOZNAM!O661),\"\")","v":"nie"},{"$f":"IF($A670<>\"\",IF(ZOZNAM!P661=\"\",\"\",ZOZNAM!P661),\"\")","v":""},{"$f":"IF($A670<>\"\",IF(ZOZNAM!Q661=\"\",\"\",ZOZNAM!Q661),\"\")","v":""},{"$f":"IF($A670<>\"\",IF(ZOZNAM!R661=\"\",\"\",ZOZNAM!R661),\"\")","v":""},{"$f":"IF($A670<>\"\",IF(ZOZNAM!S661=\"\",\"\",ZOZNAM!S661),\"\")","v":""},{"$f":"IF($A670<>\"\",IF(ZOZNAM!T661=\"\",\"\",ZOZNAM!T661),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C662)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C662)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C662)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C662)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C662)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C662)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L662)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L662)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L662)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L662)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L662)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L662)),FALSE))),ZOZNAM!G662>=$C$9),ZOZNAM!A662,\"\")","v":"FI001"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!B662=\"\",\"\",ZOZNAM!B662),\"\")","v":"Swiss Federal Institute of Technology Zurich"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!C662=\"\",\"\",ZOZNAM!C662),\"\")","v":"Advanced Process Data Analytics Course"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!D662=\"\",\"\",ZOZNAM!D662),\"\")","v":"Zürich, Švajčiarsko"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!E662=\"\",\"\",ZOZNAM!E662),\"\")","v":3},{"$f":"IF($A671<>\"\",IF(ZOZNAM!F662=\"\",\"\",ZOZNAM!F662),\"\")","v":3},{"$f":"IF($A671<>\"\",IF(ZOZNAM!G662=\"\",\"\",ZOZNAM!G662),\"\")","v":"2020-09-07"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!H662=\"\",\"\",ZOZNAM!H662),\"\")","v":"2020-09-09"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!I662=\"\",\"\",ZOZNAM!I662),\"\")","v":"2 700 CHF"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!J662=\"\",\"\",ZOZNAM!J662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!K662=\"\",\"\",ZOZNAM!K662),\"\")","v":"https://sce.ethz.ch/en/programmes-and-courses/angebot-nach-programmart/fortbildungskurse.html?polycourseId=1746"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!L662=\"\",\"\",ZOZNAM!L662),\"\")","v":"The aim of this course is to provide an overview and\nadvanced insight into data analytics and modeling\nmethodologies to for process data. Fundamental concepts to visualize high-dimensional and highly correlated process and product quality data, to identify the\nimportant process drivers as well as to forecast the\nprocess and product quality behaviour will be presented in lectures. Hands-on and brainstorming sessions\nwill be used to solve case studies from the (biopharmaceutical) industry. After the course the participants\nwill be aware of relevant techniques and literature for\nprocess data analysis and will be able to evaluate different analysis paths for a given problem.\n"},{"$f":"IF($A671<>\"\",IF(ZOZNAM!M662=\"\",\"\",ZOZNAM!M662),\"\")","v":"A 20% fee reduction is offered if only the advanced two-day course is attended without the pre-course on the first day.The fee includes lunch. "},{"$f":"IF($A671<>\"\",IF(ZOZNAM!N662=\"\",\"\",ZOZNAM!N662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!O662=\"\",\"\",ZOZNAM!O662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!P662=\"\",\"\",ZOZNAM!P662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!Q662=\"\",\"\",ZOZNAM!Q662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!R662=\"\",\"\",ZOZNAM!R662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!S662=\"\",\"\",ZOZNAM!S662),\"\")","v":""},{"$f":"IF($A671<>\"\",IF(ZOZNAM!T662=\"\",\"\",ZOZNAM!T662),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C663)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C663)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C663)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C663)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C663)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C663)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L663)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L663)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L663)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L663)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L663)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L663)),FALSE))),ZOZNAM!G663>=$C$9),ZOZNAM!A663,\"\")","v":"SH001"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!B663=\"\",\"\",ZOZNAM!B663),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!C663=\"\",\"\",ZOZNAM!C663),\"\")","v":"Causal Inference in Observational Epidemiology"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!D663=\"\",\"\",ZOZNAM!D663),\"\")","v":"Wengen, Švajčiarsko"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!E663=\"\",\"\",ZOZNAM!E663),\"\")","v":3},{"$f":"IF($A672<>\"\",IF(ZOZNAM!F663=\"\",\"\",ZOZNAM!F663),\"\")","v":3},{"$f":"IF($A672<>\"\",IF(ZOZNAM!G663=\"\",\"\",ZOZNAM!G663),\"\")","v":"2020-01-20"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!H663=\"\",\"\",ZOZNAM!H663),\"\")","v":"2020-01-22"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!I663=\"\",\"\",ZOZNAM!I663),\"\")","v":"2000 CHF"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!J663=\"\",\"\",ZOZNAM!J663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!K663=\"\",\"\",ZOZNAM!K663),\"\")","v":"https://www.epi-winterschool.org/wp-content/uploads/2019/05/WS2020_HernanZwahlen_Causal-inference-in-observational-epidemiology_description.pdf"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!L663=\"\",\"\",ZOZNAM!L663),\"\")","v":"Causal inference from observational data is a key task of epidemiology and of allied disciplines such as behavioural sciences and health services research. Commonly used statistical methods estimate association measures which cannot always be causally interpreted, even when all potential confounders are included in the analysis. In contrast, a causally explicit approach formally defines causal effects, identifies the conditions required to estimate causal effects without bias, and uses analytical methods that, under those conditions, provides estimates that can be endowed with a causal interpretation. This course presents such framework for causal inference from observational data and recent methodological developments, with a special emphasis on complex longitudinal data. The application of these methods will be illustrated using data from a synthetic HIV cohort study. The course is aimed at epidemiologists, statisticians, and other researchers who work with longitudinal observational data.\nBy the end of this short course participants will have\n• An in-depth understanding of confounding and selection bias\n• An understanding of the role and potential of different methodological approaches to overcome these problems, including inverse probability weighting, marginal structural models and nested structural models\n• Done practical data analyses implementing these methods using Stata®software."},{"$f":"IF($A672<>\"\",IF(ZOZNAM!M663=\"\",\"\",ZOZNAM!M663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!N663=\"\",\"\",ZOZNAM!N663),\"\")","v":"nie"},{"$f":"IF($A672<>\"\",IF(ZOZNAM!O663=\"\",\"\",ZOZNAM!O663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!P663=\"\",\"\",ZOZNAM!P663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!Q663=\"\",\"\",ZOZNAM!Q663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!R663=\"\",\"\",ZOZNAM!R663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!S663=\"\",\"\",ZOZNAM!S663),\"\")","v":""},{"$f":"IF($A672<>\"\",IF(ZOZNAM!T663=\"\",\"\",ZOZNAM!T663),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C664)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C664)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C664)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C664)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C664)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C664)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L664)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L664)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L664)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L664)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L664)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L664)),FALSE))),ZOZNAM!G664>=$C$9),ZOZNAM!A664,\"\")","v":"SH002"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!B664=\"\",\"\",ZOZNAM!B664),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!C664=\"\",\"\",ZOZNAM!C664),\"\")","v":"Advanced Methods in (Network) Meta-Analysis - A Practical Course in R"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!D664=\"\",\"\",ZOZNAM!D664),\"\")","v":"Wengen, Švajčiarsko"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!E664=\"\",\"\",ZOZNAM!E664),\"\")","v":3},{"$f":"IF($A673<>\"\",IF(ZOZNAM!F664=\"\",\"\",ZOZNAM!F664),\"\")","v":3},{"$f":"IF($A673<>\"\",IF(ZOZNAM!G664=\"\",\"\",ZOZNAM!G664),\"\")","v":"2020-01-20"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!H664=\"\",\"\",ZOZNAM!H664),\"\")","v":"2020-01-22"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!I664=\"\",\"\",ZOZNAM!I664),\"\")","v":"2050 CHF"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!J664=\"\",\"\",ZOZNAM!J664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!K664=\"\",\"\",ZOZNAM!K664),\"\")","v":"https://www.epi-winterschool.org/wp-content/uploads/2019/05/WS2020_SalantiSchwarzer_Advanced-Methods-in-Network-Meta-Analysis_description.pdf"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!L664=\"\",\"\",ZOZNAM!L664),\"\")","v":"This course is aimed at statisticians, epidemiologists, and other quantitatively-minded researchers who want to understand and undertake beyond-the-standard statistical syntheses of clinical trials. Knowledge of systematic reviews and the fundamentals of meta-analysis is expected of all participants. Participants must be statistically literate, including a good understanding of linear regression, meta-analysis, random-effects models and matrices. Computer practicals will use R packages requiring basic experience with R software.\nBy the end of this course participants will:\n understand the role and potential of meta-regression, multivariate meta-analysis, dose-response meta-analysis and network meta-analysis\n understand the potential and limitations of methods to detect and account for small-study effects\n understand the principles, steps and statistical methods involved\n be able to perform the above mentioned methods using R packages."},{"$f":"IF($A673<>\"\",IF(ZOZNAM!M664=\"\",\"\",ZOZNAM!M664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!N664=\"\",\"\",ZOZNAM!N664),\"\")","v":"nie"},{"$f":"IF($A673<>\"\",IF(ZOZNAM!O664=\"\",\"\",ZOZNAM!O664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!P664=\"\",\"\",ZOZNAM!P664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!Q664=\"\",\"\",ZOZNAM!Q664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!R664=\"\",\"\",ZOZNAM!R664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!S664=\"\",\"\",ZOZNAM!S664),\"\")","v":""},{"$f":"IF($A673<>\"\",IF(ZOZNAM!T664=\"\",\"\",ZOZNAM!T664),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C665)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C665)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C665)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C665)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C665)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C665)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L665)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L665)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L665)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L665)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L665)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L665)),FALSE))),ZOZNAM!G665>=$C$9),ZOZNAM!A665,\"\")","v":"SH003"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!B665=\"\",\"\",ZOZNAM!B665),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!C665=\"\",\"\",ZOZNAM!C665),\"\")","v":"Parametric Competing Risks and Multi-state models"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!D665=\"\",\"\",ZOZNAM!D665),\"\")","v":"Wengen, Švajčiarsko"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!E665=\"\",\"\",ZOZNAM!E665),\"\")","v":2},{"$f":"IF($A674<>\"\",IF(ZOZNAM!F665=\"\",\"\",ZOZNAM!F665),\"\")","v":3},{"$f":"IF($A674<>\"\",IF(ZOZNAM!G665=\"\",\"\",ZOZNAM!G665),\"\")","v":"2020-01-23"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!H665=\"\",\"\",ZOZNAM!H665),\"\")","v":"2020-01-25"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!I665=\"\",\"\",ZOZNAM!I665),\"\")","v":"2000 CHF"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!J665=\"\",\"\",ZOZNAM!J665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!K665=\"\",\"\",ZOZNAM!K665),\"\")","v":"https://www.epi-winterschool.org/wp-content/uploads/2019/05/WS2020_Lambert_Parametric-Competing-Risks_description.pdf"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!L665=\"\",\"\",ZOZNAM!L665),\"\")","v":"This course will focus on the use of parametric survival models when analysing data with competing risks and then extending to multi-state models. Multi-state models are increasingly being used to model complex disease profiles. By modelling transitions between disease states, accounting for competing events at each transition, we can gain an improved understanding of patients prognosis and how risk factors impact over the whole disease pathway. We will place emphasis on the use of flexible parametric survival models that incorporate restricted cubic splines on the log hazard or log cumulative hazard scale. This will include models with time-dependent effects (non-proportional hazards). We will use an efficient and generalizable simulation method to obtain clinically useful and directly interpretable predictions, which are particularly useful for more complex models, but also explain when analytical approaches can be used. We will also discuss assumptions of the models, including the Markov assumption and how this can be relaxed. The course will be taught using Stata making use of the multistate package.\nBy the end of this course participants will have:\n An understanding of how to fit and interpret flexible parametric survival models, including Royston-Parmar models.\n An understanding of fitting and interpreting time-dependent effects.\n An understanding of competing risks models and how to estimate cumulative incidence functions using parametric models.\n An understanding of how to construct, analyse and interpret a multi-state model.\n An understanding of the variety of useful measures that can be obtained from multistate models.\n Practical experience of fitting the models using Stata®.\nParametric Competing Risks and Multi-state models\n23 – 25 January 2020"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!M665=\"\",\"\",ZOZNAM!M665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!N665=\"\",\"\",ZOZNAM!N665),\"\")","v":"nie"},{"$f":"IF($A674<>\"\",IF(ZOZNAM!O665=\"\",\"\",ZOZNAM!O665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!P665=\"\",\"\",ZOZNAM!P665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!Q665=\"\",\"\",ZOZNAM!Q665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!R665=\"\",\"\",ZOZNAM!R665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!S665=\"\",\"\",ZOZNAM!S665),\"\")","v":""},{"$f":"IF($A674<>\"\",IF(ZOZNAM!T665=\"\",\"\",ZOZNAM!T665),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C666)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C666)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C666)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C666)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C666)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C666)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L666)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L666)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L666)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L666)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L666)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L666)),FALSE))),ZOZNAM!G666>=$C$9),ZOZNAM!A666,\"\")","v":"SH004"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!B666=\"\",\"\",ZOZNAM!B666),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!C666=\"\",\"\",ZOZNAM!C666),\"\")","v":"Empirical Policy Evaluation in Health"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!D666=\"\",\"\",ZOZNAM!D666),\"\")","v":"Lucerne, Švajčiarsko"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!E666=\"\",\"\",ZOZNAM!E666),\"\")","v":5},{"$f":"IF($A675<>\"\",IF(ZOZNAM!F666=\"\",\"\",ZOZNAM!F666),\"\")","v":5},{"$f":"IF($A675<>\"\",IF(ZOZNAM!G666=\"\",\"\",ZOZNAM!G666),\"\")","v":"2020-01-27"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!H666=\"\",\"\",ZOZNAM!H666),\"\")","v":"2020-01-31"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!I666=\"\",\"\",ZOZNAM!I666),\"\")","v":"1500 CHF"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!J666=\"\",\"\",ZOZNAM!J666),\"\")","v":""},{"$f":"IF($A675<>\"\",IF(ZOZNAM!K666=\"\",\"\",ZOZNAM!K666),\"\")","v":"https://www.sggoe.ch/events/empirical-policy-evaluation-in-health.html"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!L666=\"\",\"\",ZOZNAM!L666),\"\")","v":"The aim of this course is to provide the students with state of the art econometric methods for evaluation of public policy.\nThe course deals with theoretical literature on causal inference in lectures, but emphasis is given to empirical applications using\nmicro data. The course therefore includes also practical computer assignments using Stata.\n\nObjectives\n\nThe key objective of the course is to make students familiar with empirical tools for public policy evaluation and to provide an introduction to working with micro data.\n"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!M666=\"\",\"\",ZOZNAM!M666),\"\")","v":""},{"$f":"IF($A675<>\"\",IF(ZOZNAM!N666=\"\",\"\",ZOZNAM!N666),\"\")","v":"nie"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!O666=\"\",\"\",ZOZNAM!O666),\"\")","v":"áno"},{"$f":"IF($A675<>\"\",IF(ZOZNAM!P666=\"\",\"\",ZOZNAM!P666),\"\")","v":""},{"$f":"IF($A675<>\"\",IF(ZOZNAM!Q666=\"\",\"\",ZOZNAM!Q666),\"\")","v":""},{"$f":"IF($A675<>\"\",IF(ZOZNAM!R666=\"\",\"\",ZOZNAM!R666),\"\")","v":""},{"$f":"IF($A675<>\"\",IF(ZOZNAM!S666=\"\",\"\",ZOZNAM!S666),\"\")","v":""},{"$f":"IF($A675<>\"\",IF(ZOZNAM!T666=\"\",\"\",ZOZNAM!T666),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C667)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C667)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C667)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C667)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C667)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C667)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L667)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L667)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L667)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L667)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L667)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L667)),FALSE))),ZOZNAM!G667>=$C$9),ZOZNAM!A667,\"\")","v":"SH005"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!B667=\"\",\"\",ZOZNAM!B667),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!C667=\"\",\"\",ZOZNAM!C667),\"\")","v":"Big Data in Public Health"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!D667=\"\",\"\",ZOZNAM!D667),\"\")","v":"Zürich, Švajčiarsko"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!E667=\"\",\"\",ZOZNAM!E667),\"\")","v":5},{"$f":"IF($A676<>\"\",IF(ZOZNAM!F667=\"\",\"\",ZOZNAM!F667),\"\")","v":5},{"$f":"IF($A676<>\"\",IF(ZOZNAM!G667=\"\",\"\",ZOZNAM!G667),\"\")","v":"2020-05-25"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!H667=\"\",\"\",ZOZNAM!H667),\"\")","v":"2020-05-29"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!I667=\"\",\"\",ZOZNAM!I667),\"\")","v":"2500 CHF"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!J667=\"\",\"\",ZOZNAM!J667),\"\")","v":"2020-04-25"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!K667=\"\",\"\",ZOZNAM!K667),\"\")","v":"https://www.ssphplus-phd.ch/wp-content/uploads/2020/01/Course-Flyer_2020_BigDataPH_FINAL.pdf"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!L667=\"\",\"\",ZOZNAM!L667),\"\")","v":"By the end of the course, the participants are familiar with public health\nrelevant definitions and challenges of big data approaches from major\npublic health disciplines. They are able to address key issues in research\nand the broader public health discourse. Specifically, participants will:\n1. Gain a broad understanding of the relevance and potential for\nbig data to advance public health research\n2. Apply novel methods in big data analysis towards addressing\nimportant public health challenges\n3. Develop a project with potential for real-world public health\nimpact using big data methods."},{"$f":"IF($A676<>\"\",IF(ZOZNAM!M667=\"\",\"\",ZOZNAM!M667),\"\")","v":""},{"$f":"IF($A676<>\"\",IF(ZOZNAM!N667=\"\",\"\",ZOZNAM!N667),\"\")","v":"nie"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!O667=\"\",\"\",ZOZNAM!O667),\"\")","v":"nie"},{"$f":"IF($A676<>\"\",IF(ZOZNAM!P667=\"\",\"\",ZOZNAM!P667),\"\")","v":""},{"$f":"IF($A676<>\"\",IF(ZOZNAM!Q667=\"\",\"\",ZOZNAM!Q667),\"\")","v":""},{"$f":"IF($A676<>\"\",IF(ZOZNAM!R667=\"\",\"\",ZOZNAM!R667),\"\")","v":""},{"$f":"IF($A676<>\"\",IF(ZOZNAM!S667=\"\",\"\",ZOZNAM!S667),\"\")","v":""},{"$f":"IF($A676<>\"\",IF(ZOZNAM!T667=\"\",\"\",ZOZNAM!T667),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C668)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C668)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C668)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C668)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C668)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C668)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L668)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L668)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L668)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L668)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L668)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L668)),FALSE))),ZOZNAM!G668>=$C$9),ZOZNAM!A668,\"\")","v":"SB001"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!B668=\"\",\"\",ZOZNAM!B668),\"\")","v":"Stern School of Business"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!C668=\"\",\"\",ZOZNAM!C668),\"\")","v":"Advanced Valuation"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!D668=\"\",\"\",ZOZNAM!D668),\"\")","v":"Online"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!E668=\"\",\"\",ZOZNAM!E668),\"\")","v":74},{"$f":"IF($A677<>\"\",IF(ZOZNAM!F668=\"\",\"\",ZOZNAM!F668),\"\")","v":106},{"$f":"IF($A677<>\"\",IF(ZOZNAM!G668=\"\",\"\",ZOZNAM!G668),\"\")","v":"2020-09-08"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!H668=\"\",\"\",ZOZNAM!H668),\"\")","v":"2020-12-22"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!I668=\"\",\"\",ZOZNAM!I668),\"\")","v":"1 936 USD"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!J668=\"\",\"\",ZOZNAM!J668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!K668=\"\",\"\",ZOZNAM!K668),\"\")","v":"https://execed.stern.nyu.edu/products/advanced-valuation-with-aswath-damodaran"},{"$f":"IF($A677<>\"\",IF(ZOZNAM!L668=\"\",\"\",ZOZNAM!L668),\"\")","v":"aught by Professor Aswath Damodaran, one of the leaders in the field, Advanced Valuation is for analysts, financial officers, and portfolio managers seeking a deeper understanding of valuation, and the skills and knowledge to confidently make financial decisions.Through video lectures, live Q&A sessions, and a hands-on valuation project, students will learn how to estimate the value of any business, small or large, private or public, in a developed or an emerging market. They will also be able to price businesses using earnings, book value, revenue, or other pricing multiples and comparables.This course includes a free bonus course for students looking to enhance their accounting skills: Essentials of Financial Accounting taught by NYU Stern Professor Amal Shehata."},{"$f":"IF($A677<>\"\",IF(ZOZNAM!M668=\"\",\"\",ZOZNAM!M668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!N668=\"\",\"\",ZOZNAM!N668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!O668=\"\",\"\",ZOZNAM!O668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!P668=\"\",\"\",ZOZNAM!P668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!Q668=\"\",\"\",ZOZNAM!Q668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!R668=\"\",\"\",ZOZNAM!R668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!S668=\"\",\"\",ZOZNAM!S668),\"\")","v":""},{"$f":"IF($A677<>\"\",IF(ZOZNAM!T668=\"\",\"\",ZOZNAM!T668),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C669)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C669)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C669)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C669)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C669)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C669)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L669)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L669)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L669)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L669)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L669)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L669)),FALSE))),ZOZNAM!G669>=$C$9),ZOZNAM!A669,\"\")","v":"IP008"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!B669=\"\",\"\",ZOZNAM!B669),\"\")","v":"ictPRO"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!C669=\"\",\"\",ZOZNAM!C669),\"\")","v":"Python - základy programování"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!D669=\"\",\"\",ZOZNAM!D669),\"\")","v":"Praha, Česko"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!E669=\"\",\"\",ZOZNAM!E669),\"\")","v":3},{"$f":"IF($A678<>\"\",IF(ZOZNAM!F669=\"\",\"\",ZOZNAM!F669),\"\")","v":3},{"$f":"IF($A678<>\"\",IF(ZOZNAM!G669=\"\",\"\",ZOZNAM!G669),\"\")","v":"2020-09-09"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!H669=\"\",\"\",ZOZNAM!H669),\"\")","v":"2020-09-11"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!I669=\"\",\"\",ZOZNAM!I669),\"\")","v":"10 900 Kč"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!J669=\"\",\"\",ZOZNAM!J669),\"\")","v":""},{"$f":"IF($A678<>\"\",IF(ZOZNAM!K669=\"\",\"\",ZOZNAM!K669),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!L669=\"\",\"\",ZOZNAM!L669),\"\")","v":"V rámci školení se seznámíte s fungováním jazyka Python, podíváte se na složitější příkazy a možnostmi hledání a využití standardní knihovny. Součástí kurzu jsou samozřejmě také praktická cvičení, během nichž mimo jiné vyzkoušíte vytvoření automatizace dvou úkolů"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!M669=\"\",\"\",ZOZNAM!M669),\"\")","v":"Je možné sa pripojiť aj virtuálne"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!N669=\"\",\"\",ZOZNAM!N669),\"\")","v":"nie"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!O669=\"\",\"\",ZOZNAM!O669),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A678<>\"\",IF(ZOZNAM!P669=\"\",\"\",ZOZNAM!P669),\"\")","v":""},{"$f":"IF($A678<>\"\",IF(ZOZNAM!Q669=\"\",\"\",ZOZNAM!Q669),\"\")","v":""},{"$f":"IF($A678<>\"\",IF(ZOZNAM!R669=\"\",\"\",ZOZNAM!R669),\"\")","v":""},{"$f":"IF($A678<>\"\",IF(ZOZNAM!S669=\"\",\"\",ZOZNAM!S669),\"\")","v":""},{"$f":"IF($A678<>\"\",IF(ZOZNAM!T669=\"\",\"\",ZOZNAM!T669),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C670)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C670)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C670)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C670)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C670)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C670)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L670)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L670)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L670)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L670)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L670)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L670)),FALSE))),ZOZNAM!G670>=$C$9),ZOZNAM!A670,\"\")","v":"GE204"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!B670=\"\",\"\",ZOZNAM!B670),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!C670=\"\",\"\",ZOZNAM!C670),\"\")","v":"Methodenseminar"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!D670=\"\",\"\",ZOZNAM!D670),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!E670=\"\",\"\",ZOZNAM!E670),\"\")","v":14},{"$f":"IF($A679<>\"\",IF(ZOZNAM!F670=\"\",\"\",ZOZNAM!F670),\"\")","v":19},{"$f":"IF($A679<>\"\",IF(ZOZNAM!G670=\"\",\"\",ZOZNAM!G670),\"\")","v":"2020-09-14"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!H670=\"\",\"\",ZOZNAM!H670),\"\")","v":"2020-10-02"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!I670=\"\",\"\",ZOZNAM!I670),\"\")","v":"900 EUR"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!J670=\"\",\"\",ZOZNAM!J670),\"\")","v":""},{"$f":"IF($A679<>\"\",IF(ZOZNAM!K670=\"\",\"\",ZOZNAM!K670),\"\")","v":"https://training.gesis.org/?site=pDetails&pID=0x387DA6358EF341928F67355388570B76"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!L670=\"\",\"\",ZOZNAM!L670),\"\")","v":"The Methods Seminar offers three courses in German that introduce the basics of uni- and bivariate statistics as well as different regression models as used in the social sciences and digital humanities. Just like in previous years, there will be seminars in English on methods and techniques for big data-such as Machine Learning or Text Mining-using R or Python. These seminars should be interesting to all data scientists, social scientists, and researchers in the digital humanities that collect and analyze data from the web, social media, or digital text archives."},{"$f":"IF($A679<>\"\",IF(ZOZNAM!M670=\"\",\"\",ZOZNAM!M670),\"\")","v":"Kurz v nemeckom jazyku "},{"$f":"IF($A679<>\"\",IF(ZOZNAM!N670=\"\",\"\",ZOZNAM!N670),\"\")","v":"nie"},{"$f":"IF($A679<>\"\",IF(ZOZNAM!O670=\"\",\"\",ZOZNAM!O670),\"\")","v":""},{"$f":"IF($A679<>\"\",IF(ZOZNAM!P670=\"\",\"\",ZOZNAM!P670),\"\")","v":2.5},{"$f":"IF($A679<>\"\",IF(ZOZNAM!Q670=\"\",\"\",ZOZNAM!Q670),\"\")","v":""},{"$f":"IF($A679<>\"\",IF(ZOZNAM!R670=\"\",\"\",ZOZNAM!R670),\"\")","v":""},{"$f":"IF($A679<>\"\",IF(ZOZNAM!S670=\"\",\"\",ZOZNAM!S670),\"\")","v":""},{"$f":"IF($A679<>\"\",IF(ZOZNAM!T670=\"\",\"\",ZOZNAM!T670),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C671)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C671)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C671)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C671)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C671)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C671)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L671)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L671)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L671)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L671)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L671)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L671)),FALSE))),ZOZNAM!G671>=$C$9),ZOZNAM!A671,\"\")","v":"HA106"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!B671=\"\",\"\",ZOZNAM!B671),\"\")","v":"Harvard "},{"$f":"IF($A680<>\"\",IF(ZOZNAM!C671=\"\",\"\",ZOZNAM!C671),\"\")","v":"Creating Public Value"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!D671=\"\",\"\",ZOZNAM!D671),\"\")","v":"Online"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!E671=\"\",\"\",ZOZNAM!E671),\"\")","v":44},{"$f":"IF($A680<>\"\",IF(ZOZNAM!F671=\"\",\"\",ZOZNAM!F671),\"\")","v":63},{"$f":"IF($A680<>\"\",IF(ZOZNAM!G671=\"\",\"\",ZOZNAM!G671),\"\")","v":"2020-09-14"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!H671=\"\",\"\",ZOZNAM!H671),\"\")","v":"2020-11-15"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!I671=\"\",\"\",ZOZNAM!I671),\"\")","v":"2600 USD"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!J671=\"\",\"\",ZOZNAM!J671),\"\")","v":"2020-08-14"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!K671=\"\",\"\",ZOZNAM!K671),\"\")","v":"https://online-learning.harvard.edu/course/creating-public-value?delta=0"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!L671=\"\",\"\",ZOZNAM!L671),\"\")","v":"The need for public managers to deliver real value has never been greater, yet the complexity and volatility of the public sector often prevents leaders in their efforts from doing so. Despite the obstacles, it is critical for those in government to remember what is distinctively public about their work: to separate public value from commercial value, and to adapt their practices to rapid changes in expectations, aspirations, and social conditions. \n\nOver the nine-week period, participants will examine the dual roles they play as citizens and public managers in authorizing, financing, helping to produce, and enjoying or suffering the consequences of government action. In addition, you will explore how government could use its various modes of contact with citizens to further engage them in democratic governance."},{"$f":"IF($A680<>\"\",IF(ZOZNAM!M671=\"\",\"\",ZOZNAM!M671),\"\")","v":"8-12 hours per week"},{"$f":"IF($A680<>\"\",IF(ZOZNAM!N671=\"\",\"\",ZOZNAM!N671),\"\")","v":""},{"$f":"IF($A680<>\"\",IF(ZOZNAM!O671=\"\",\"\",ZOZNAM!O671),\"\")","v":""},{"$f":"IF($A680<>\"\",IF(ZOZNAM!P671=\"\",\"\",ZOZNAM!P671),\"\")","v":""},{"$f":"IF($A680<>\"\",IF(ZOZNAM!Q671=\"\",\"\",ZOZNAM!Q671),\"\")","v":""},{"$f":"IF($A680<>\"\",IF(ZOZNAM!R671=\"\",\"\",ZOZNAM!R671),\"\")","v":""},{"$f":"IF($A680<>\"\",IF(ZOZNAM!S671=\"\",\"\",ZOZNAM!S671),\"\")","v":""},{"$f":"IF($A680<>\"\",IF(ZOZNAM!T671=\"\",\"\",ZOZNAM!T671),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C672)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C672)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C672)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C672)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C672)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C672)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L672)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L672)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L672)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L672)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L672)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L672)),FALSE))),ZOZNAM!G672>=$C$9),ZOZNAM!A672,\"\")","v":"TI294"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!B672=\"\",\"\",ZOZNAM!B672),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!C672=\"\",\"\",ZOZNAM!C672),\"\")","v":"Advances in Causal Inference using Stata "},{"$f":"IF($A681<>\"\",IF(ZOZNAM!D672=\"\",\"\",ZOZNAM!D672),\"\")","v":"Online"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!E672=\"\",\"\",ZOZNAM!E672),\"\")","v":1},{"$f":"IF($A681<>\"\",IF(ZOZNAM!F672=\"\",\"\",ZOZNAM!F672),\"\")","v":2},{"$f":"IF($A681<>\"\",IF(ZOZNAM!G672=\"\",\"\",ZOZNAM!G672),\"\")","v":"2020-09-14"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!H672=\"\",\"\",ZOZNAM!H672),\"\")","v":"2020-09-15"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!I672=\"\",\"\",ZOZNAM!I672),\"\")","v":"930 GBP"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!J672=\"\",\"\",ZOZNAM!J672),\"\")","v":"2020-09-07"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!K672=\"\",\"\",ZOZNAM!K672),\"\")","v":"https://www.timberlake.co.uk/courses/advances-in-causal-inference-using-stata-ire.html"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!L672=\"\",\"\",ZOZNAM!L672),\"\")","v":"Econometric modelling for causal inference and program evaluation has received tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.\n\nIt will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitations.\n\nMore specifically, the course will focus on these approaches:\n•Difference-in-differences (DID) with time-varying binary treatment\n•The Synthetic Control Method (SCM) for program evaluation, suitable when datasets on many times and locations are available\n•Models for multivalued and quantile treatment effect estimation\n•Causal inference with continuous treatment (namely, dose-response models)\n\nAfter attending the course, the participants will be comfortable with setting up and and managing correct evaluation design using Stata, by identifying the policy framework, the appropriate econometric method to use interpreting correctly the results. The course will provide various practical examples using real datasets.\n"},{"$f":"IF($A681<>\"\",IF(ZOZNAM!M672=\"\",\"\",ZOZNAM!M672),\"\")","v":""},{"$f":"IF($A681<>\"\",IF(ZOZNAM!N672=\"\",\"\",ZOZNAM!N672),\"\")","v":""},{"$f":"IF($A681<>\"\",IF(ZOZNAM!O672=\"\",\"\",ZOZNAM!O672),\"\")","v":""},{"$f":"IF($A681<>\"\",IF(ZOZNAM!P672=\"\",\"\",ZOZNAM!P672),\"\")","v":2},{"$f":"IF($A681<>\"\",IF(ZOZNAM!Q672=\"\",\"\",ZOZNAM!Q672),\"\")","v":""},{"$f":"IF($A681<>\"\",IF(ZOZNAM!R672=\"\",\"\",ZOZNAM!R672),\"\")","v":""},{"$f":"IF($A681<>\"\",IF(ZOZNAM!S672=\"\",\"\",ZOZNAM!S672),\"\")","v":""},{"$f":"IF($A681<>\"\",IF(ZOZNAM!T672=\"\",\"\",ZOZNAM!T672),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C673)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C673)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C673)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C673)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C673)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C673)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L673)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L673)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L673)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L673)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L673)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L673)),FALSE))),ZOZNAM!G673>=$C$9),ZOZNAM!A673,\"\")","v":"OU011"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!B673=\"\",\"\",ZOZNAM!B673),\"\")","v":"University of Oxford"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!C673=\"\",\"\",ZOZNAM!C673),\"\")","v":"Microeconomics: An Introduction (Online)"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!D673=\"\",\"\",ZOZNAM!D673),\"\")","v":"Online"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!E673=\"\",\"\",ZOZNAM!E673),\"\")","v":53},{"$f":"IF($A682<>\"\",IF(ZOZNAM!F673=\"\",\"\",ZOZNAM!F673),\"\")","v":75},{"$f":"IF($A682<>\"\",IF(ZOZNAM!G673=\"\",\"\",ZOZNAM!G673),\"\")","v":"2020-09-14"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!H673=\"\",\"\",ZOZNAM!H673),\"\")","v":"2020-11-27"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!I673=\"\",\"\",ZOZNAM!I673),\"\")","v":"300 GBP"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!J673=\"\",\"\",ZOZNAM!J673),\"\")","v":""},{"$f":"IF($A682<>\"\",IF(ZOZNAM!K673=\"\",\"\",ZOZNAM!K673),\"\")","v":"https://www.conted.ox.ac.uk/courses/microeconomics-an-introduction-online?code=O19P567SOV"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!L673=\"\",\"\",ZOZNAM!L673),\"\")","v":"Microeconomics: an introduction will equip students with the technical skills with which they will be able to understand how consumers and firms make everyday consumption and production decisions. In this case the course will ensure that students are able to relate fundamental microeconomic theory with daily economic activity. The course will also allow students to develop critical thinking skills by considering the case of market failure which occurs in sharp contrast to traditional microeconomic theory. In this case students will learn that despite the notion that supply and demand are determined by the market, there are cases of missing markets where government intervention is required to substitute for the price mechanism. Students will also be able to use the knowledge gained on this course to everyday circumstances. Furthermore, this course will give students a solid foundation which they can use to progress to higher level studies in Microeconomics as well as being able to apply knowledge gained on the course to other online courses such as Globalisation, the New Economic Powers and Introduction to Macroeconomics."},{"$f":"IF($A682<>\"\",IF(ZOZNAM!M673=\"\",\"\",ZOZNAM!M673),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!N673=\"\",\"\",ZOZNAM!N673),\"\")","v":""},{"$f":"IF($A682<>\"\",IF(ZOZNAM!O673=\"\",\"\",ZOZNAM!O673),\"\")","v":"áno"},{"$f":"IF($A682<>\"\",IF(ZOZNAM!P673=\"\",\"\",ZOZNAM!P673),\"\")","v":""},{"$f":"IF($A682<>\"\",IF(ZOZNAM!Q673=\"\",\"\",ZOZNAM!Q673),\"\")","v":""},{"$f":"IF($A682<>\"\",IF(ZOZNAM!R673=\"\",\"\",ZOZNAM!R673),\"\")","v":""},{"$f":"IF($A682<>\"\",IF(ZOZNAM!S673=\"\",\"\",ZOZNAM!S673),\"\")","v":""},{"$f":"IF($A682<>\"\",IF(ZOZNAM!T673=\"\",\"\",ZOZNAM!T673),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C674)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C674)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C674)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C674)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C674)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C674)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L674)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L674)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L674)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L674)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L674)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L674)),FALSE))),ZOZNAM!G674>=$C$9),ZOZNAM!A674,\"\")","v":"TA002"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!B674=\"\",\"\",ZOZNAM!B674),\"\")","v":"TalTech University"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!C674=\"\",\"\",ZOZNAM!C674),\"\")","v":"Winter School on Secure e-Governance"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!D674=\"\",\"\",ZOZNAM!D674),\"\")","v":"Talin, Estónsko"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!E674=\"\",\"\",ZOZNAM!E674),\"\")","v":5},{"$f":"IF($A683<>\"\",IF(ZOZNAM!F674=\"\",\"\",ZOZNAM!F674),\"\")","v":8},{"$f":"IF($A683<>\"\",IF(ZOZNAM!G674=\"\",\"\",ZOZNAM!G674),\"\")","v":"2020-01-19"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!H674=\"\",\"\",ZOZNAM!H674),\"\")","v":"2020-01-26"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!I674=\"\",\"\",ZOZNAM!I674),\"\")","v":"850 EUR"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!J674=\"\",\"\",ZOZNAM!J674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!K674=\"\",\"\",ZOZNAM!K674),\"\")","v":"https://www.ttu.ee/projects/summer-and-winter-schools-2/winter-schools/secure-e-governace-3/"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!L674=\"\",\"\",ZOZNAM!L674),\"\")","v":"The idea of the course is to introduce e-Estonia from the government level and to give an overview of how things are rolling in the ICT sector in Estonia. The main focus will be set to explain the core of the digital transformation in the public sector. Thus, the course broadens the understanding of the value that e-services could provide for different stakeholders (citizens, public entities and privately held companies etc.) and the main steps of the digitalisation process will be discussed and the data management including the re-use of the data explored. \nAs identity management is essential feature for digitalisation, the different authentication methods will be highlighted and presented based on Estonian approach. In addition, cyber security aspects will be included as an important part of e-governance solutions. The interoperability as highly important concept during the service provision will be discussed based on X-road and others relevant system functions. Finally, the shift to digitalisation will be viewed from the perspective of the change management - the most important aspects and phases whilst implementation process takes place. In order to present the gained knowledge students will have an opportunity to create e-service/system/solution description (prototype) for improving a specific problem at government level."},{"$f":"IF($A683<>\"\",IF(ZOZNAM!M674=\"\",\"\",ZOZNAM!M674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!N674=\"\",\"\",ZOZNAM!N674),\"\")","v":"nie"},{"$f":"IF($A683<>\"\",IF(ZOZNAM!O674=\"\",\"\",ZOZNAM!O674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!P674=\"\",\"\",ZOZNAM!P674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!Q674=\"\",\"\",ZOZNAM!Q674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!R674=\"\",\"\",ZOZNAM!R674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!S674=\"\",\"\",ZOZNAM!S674),\"\")","v":""},{"$f":"IF($A683<>\"\",IF(ZOZNAM!T674=\"\",\"\",ZOZNAM!T674),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C675)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C675)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C675)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C675)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C675)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C675)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L675)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L675)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L675)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L675)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L675)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L675)),FALSE))),ZOZNAM!G675>=$C$9),ZOZNAM!A675,\"\")","v":"OU012"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!B675=\"\",\"\",ZOZNAM!B675),\"\")","v":"University of Oxford"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!C675=\"\",\"\",ZOZNAM!C675),\"\")","v":"Introducing Mapping, Spatial Data and GIS (Online)"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!D675=\"\",\"\",ZOZNAM!D675),\"\")","v":"Online"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!E675=\"\",\"\",ZOZNAM!E675),\"\")","v":53},{"$f":"IF($A684<>\"\",IF(ZOZNAM!F675=\"\",\"\",ZOZNAM!F675),\"\")","v":75},{"$f":"IF($A684<>\"\",IF(ZOZNAM!G675=\"\",\"\",ZOZNAM!G675),\"\")","v":"2020-09-14"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!H675=\"\",\"\",ZOZNAM!H675),\"\")","v":"2020-11-27"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!I675=\"\",\"\",ZOZNAM!I675),\"\")","v":"300 GBP"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!J675=\"\",\"\",ZOZNAM!J675),\"\")","v":""},{"$f":"IF($A684<>\"\",IF(ZOZNAM!K675=\"\",\"\",ZOZNAM!K675),\"\")","v":"https://www.conted.ox.ac.uk/courses/introducing-mapping-spatial-data-and-gis-online?code=O20P349BIV"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!L675=\"\",\"\",ZOZNAM!L675),\"\")","v":"1. What are spatial data and Geographic Information Systems?\nExplore how maps and spatial analysis pervade our world, and consider the use of maps in the media. Install the GIS software and take your first steps in displaying spatial data.\n\n2. Who uses spatial data, maps and GIS, and what for?\nConsider how GIS is used in different industries and leisure activities. Encounter the power and versatility of maps and GIS to illustrate patterns, exploring osprey migration routes in a wildlife case study.\n\n3. Understanding spatial reference systems\nLearn how to refer to the spatial location of objects on the earth’s surface, and understand how this translates to locations on a flat map. View and overlay data from a range of spatial reference systems, based on an archaeological case study of Stonehenge artefacts.\n\n4. Representing spatial features\nGrasp the difference between discrete spatial objects and continuous surfaces, and learn the characteristics of the two primary data formats (vector and raster) which represent them. Practice working with both data types in a resource management case study on an English farm.\n\n5. Interpreting maps\nInterpret the symbols, contours and scale on a topographic map, and learn how to navigate using a compass. Plan travel routes and camping locations for a wilderness hike through Monongahela National Forest, USA, as part of a leisure case study.\n\n6. Working with raster layers\nExperience the power of remotely sensed imagery to visualize environmental patterns. Manipulate raster layers in a disaster relief case study, to assess the extent of catastrophic flooding in Pakistan.\n\n7. Working with vector layers\nGenerate and edit your own vector data by hand-digitizing, and add non-geographic information to your new layers. Extend the Pakistan disaster relief case study by calculating the area affected by flooding.\n\n8. Introduction to symbology and cartography\nExplore the art of cartography, and discuss how to communicate your message to a specific audience. Change the way map features are displayed to identify spatial patterns in health risks in Togo, an international development case study.\n\n9. Making maps\nLearn how the key elements of a map (scale bar, legend, graticule) allow viewers to interpret your map and understand your message. Apply cartographic principles in a tourism case study to create and export your own map of tourist attractions in Melbourne, Australia.\n\n10. Introduction to spatial analysis\nDiscover how the utility of GIS extends far beyond map-making. Explore concepts in spatial analysis that will allow you to create new data, identify patterns, and support future decision-making. Propose the location of a new recycling facility in an urban planning case study."},{"$f":"IF($A684<>\"\",IF(ZOZNAM!M675=\"\",\"\",ZOZNAM!M675),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!N675=\"\",\"\",ZOZNAM!N675),\"\")","v":""},{"$f":"IF($A684<>\"\",IF(ZOZNAM!O675=\"\",\"\",ZOZNAM!O675),\"\")","v":"áno"},{"$f":"IF($A684<>\"\",IF(ZOZNAM!P675=\"\",\"\",ZOZNAM!P675),\"\")","v":""},{"$f":"IF($A684<>\"\",IF(ZOZNAM!Q675=\"\",\"\",ZOZNAM!Q675),\"\")","v":""},{"$f":"IF($A684<>\"\",IF(ZOZNAM!R675=\"\",\"\",ZOZNAM!R675),\"\")","v":""},{"$f":"IF($A684<>\"\",IF(ZOZNAM!S675=\"\",\"\",ZOZNAM!S675),\"\")","v":""},{"$f":"IF($A684<>\"\",IF(ZOZNAM!T675=\"\",\"\",ZOZNAM!T675),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C676)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C676)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C676)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C676)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C676)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C676)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L676)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L676)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L676)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L676)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L676)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L676)),FALSE))),ZOZNAM!G676>=$C$9),ZOZNAM!A676,\"\")","v":"WU001"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!B676=\"\",\"\",ZOZNAM!B676),\"\")","v":"Wageningen University"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!C676=\"\",\"\",ZOZNAM!C676),\"\")","v":"Food Security in a Changing Climate"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!D676=\"\",\"\",ZOZNAM!D676),\"\")","v":"Wageningen, Holandsko"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!E676=\"\",\"\",ZOZNAM!E676),\"\")","v":9},{"$f":"IF($A685<>\"\",IF(ZOZNAM!F676=\"\",\"\",ZOZNAM!F676),\"\")","v":12},{"$f":"IF($A685<>\"\",IF(ZOZNAM!G676=\"\",\"\",ZOZNAM!G676),\"\")","v":"2020-09-14"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!H676=\"\",\"\",ZOZNAM!H676),\"\")","v":"2020-09-25"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!I676=\"\",\"\",ZOZNAM!I676),\"\")","v":"3700 EUR"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!J676=\"\",\"\",ZOZNAM!J676),\"\")","v":""},{"$f":"IF($A685<>\"\",IF(ZOZNAM!K676=\"\",\"\",ZOZNAM!K676),\"\")","v":"https://www.wur.nl/en/show/Food-Security-in-a-Changing-Climate.htm"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!L676=\"\",\"\",ZOZNAM!L676),\"\")","v":"In this course you will not only get a full understanding of climate change but also learn about its impacts and the adaptation and mitigation concepts. It will also encourage you to become a facilitator of change. It will strengthen your skills for stakeholder engagement, policy influencing, advocacy, and negotiation to help you establish more effective governance structures."},{"$f":"IF($A685<>\"\",IF(ZOZNAM!M676=\"\",\"\",ZOZNAM!M676),\"\")","v":"Costs\nTuition fee € 3,700.00\nFull board/lodging € 1,326.00\nHealth insurance € 24.00\nTotal € 5,050.00\nTuition fee\n\nIncluding administration fee, costs of lecture material and of field trips\n(as far as they are included in the programme).\n\nFull board/lodging\n\nParticipants will be accommodated in or near Wageningen."},{"$f":"IF($A685<>\"\",IF(ZOZNAM!N676=\"\",\"\",ZOZNAM!N676),\"\")","v":"nie"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!O676=\"\",\"\",ZOZNAM!O676),\"\")","v":"nie"},{"$f":"IF($A685<>\"\",IF(ZOZNAM!P676=\"\",\"\",ZOZNAM!P676),\"\")","v":2},{"$f":"IF($A685<>\"\",IF(ZOZNAM!Q676=\"\",\"\",ZOZNAM!Q676),\"\")","v":""},{"$f":"IF($A685<>\"\",IF(ZOZNAM!R676=\"\",\"\",ZOZNAM!R676),\"\")","v":""},{"$f":"IF($A685<>\"\",IF(ZOZNAM!S676=\"\",\"\",ZOZNAM!S676),\"\")","v":""},{"$f":"IF($A685<>\"\",IF(ZOZNAM!T676=\"\",\"\",ZOZNAM!T676),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C677)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C677)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C677)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C677)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C677)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C677)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L677)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L677)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L677)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L677)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L677)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L677)),FALSE))),ZOZNAM!G677>=$C$9),ZOZNAM!A677,\"\")","v":"TC001"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!B677=\"\",\"\",ZOZNAM!B677),\"\")","v":"Tayllorcox"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!C677=\"\",\"\",ZOZNAM!C677),\"\")","v":"Prince2 foundation"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!D677=\"\",\"\",ZOZNAM!D677),\"\")","v":"Brno, Česko"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!E677=\"\",\"\",ZOZNAM!E677),\"\")","v":3},{"$f":"IF($A686<>\"\",IF(ZOZNAM!F677=\"\",\"\",ZOZNAM!F677),\"\")","v":3},{"$f":"IF($A686<>\"\",IF(ZOZNAM!G677=\"\",\"\",ZOZNAM!G677),\"\")","v":"2020-03-02"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!H677=\"\",\"\",ZOZNAM!H677),\"\")","v":"2020-03-04"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!I677=\"\",\"\",ZOZNAM!I677),\"\")","v":"19400 Kč"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!J677=\"\",\"\",ZOZNAM!J677),\"\")","v":""},{"$f":"IF($A686<>\"\",IF(ZOZNAM!K677=\"\",\"\",ZOZNAM!K677),\"\")","v":"https://www.tx.cz/prince2/prince2-foundation"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!L677=\"\",\"\",ZOZNAM!L677),\"\")","v":"Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory."},{"$f":"IF($A686<>\"\",IF(ZOZNAM!M677=\"\",\"\",ZOZNAM!M677),\"\")","v":"Na vvýber je viacero termínov počas celého roka"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!N677=\"\",\"\",ZOZNAM!N677),\"\")","v":"nie"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!O677=\"\",\"\",ZOZNAM!O677),\"\")","v":"áno"},{"$f":"IF($A686<>\"\",IF(ZOZNAM!P677=\"\",\"\",ZOZNAM!P677),\"\")","v":""},{"$f":"IF($A686<>\"\",IF(ZOZNAM!Q677=\"\",\"\",ZOZNAM!Q677),\"\")","v":""},{"$f":"IF($A686<>\"\",IF(ZOZNAM!R677=\"\",\"\",ZOZNAM!R677),\"\")","v":""},{"$f":"IF($A686<>\"\",IF(ZOZNAM!S677=\"\",\"\",ZOZNAM!S677),\"\")","v":""},{"$f":"IF($A686<>\"\",IF(ZOZNAM!T677=\"\",\"\",ZOZNAM!T677),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C678)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C678)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C678)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C678)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C678)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C678)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L678)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L678)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L678)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L678)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L678)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L678)),FALSE))),ZOZNAM!G678>=$C$9),ZOZNAM!A678,\"\")","v":"TC004"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!B678=\"\",\"\",ZOZNAM!B678),\"\")","v":"Tayllorcox"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!C678=\"\",\"\",ZOZNAM!C678),\"\")","v":"Prince2 practitioner"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!D678=\"\",\"\",ZOZNAM!D678),\"\")","v":"Brno, Česko"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!E678=\"\",\"\",ZOZNAM!E678),\"\")","v":2},{"$f":"IF($A687<>\"\",IF(ZOZNAM!F678=\"\",\"\",ZOZNAM!F678),\"\")","v":2},{"$f":"IF($A687<>\"\",IF(ZOZNAM!G678=\"\",\"\",ZOZNAM!G678),\"\")","v":"2020-03-19"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!H678=\"\",\"\",ZOZNAM!H678),\"\")","v":"2020-03-20"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!I678=\"\",\"\",ZOZNAM!I678),\"\")","v":"19900 Kč"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!J678=\"\",\"\",ZOZNAM!J678),\"\")","v":""},{"$f":"IF($A687<>\"\",IF(ZOZNAM!K678=\"\",\"\",ZOZNAM!K678),\"\")","v":"https://www.tx.cz/prince2/prince2-practitionerPRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu."},{"$f":"IF($A687<>\"\",IF(ZOZNAM!L678=\"\",\"\",ZOZNAM!L678),\"\")","v":"PRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu."},{"$f":"IF($A687<>\"\",IF(ZOZNAM!M678=\"\",\"\",ZOZNAM!M678),\"\")","v":"Na vvýber je viacero termínov počas celého roka"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!N678=\"\",\"\",ZOZNAM!N678),\"\")","v":"nie"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!O678=\"\",\"\",ZOZNAM!O678),\"\")","v":"áno"},{"$f":"IF($A687<>\"\",IF(ZOZNAM!P678=\"\",\"\",ZOZNAM!P678),\"\")","v":""},{"$f":"IF($A687<>\"\",IF(ZOZNAM!Q678=\"\",\"\",ZOZNAM!Q678),\"\")","v":""},{"$f":"IF($A687<>\"\",IF(ZOZNAM!R678=\"\",\"\",ZOZNAM!R678),\"\")","v":""},{"$f":"IF($A687<>\"\",IF(ZOZNAM!S678=\"\",\"\",ZOZNAM!S678),\"\")","v":""},{"$f":"IF($A687<>\"\",IF(ZOZNAM!T678=\"\",\"\",ZOZNAM!T678),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C694)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C694)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C694)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C694)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C694)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C694)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L694)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L694)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L694)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L694)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L694)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L694)),FALSE))),ZOZNAM!G694>=$C$9),ZOZNAM!A694,\"\")","v":"TI278"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!B694=\"\",\"\",ZOZNAM!B694),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!C694=\"\",\"\",ZOZNAM!C694),\"\")","v":"Panel Data Analysis using Stata"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!D694=\"\",\"\",ZOZNAM!D694),\"\")","v":"New York, USA"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!E694=\"\",\"\",ZOZNAM!E694),\"\")","v":2},{"$f":"IF($A703<>\"\",IF(ZOZNAM!F694=\"\",\"\",ZOZNAM!F694),\"\")","v":2},{"$f":"IF($A703<>\"\",IF(ZOZNAM!G694=\"\",\"\",ZOZNAM!G694),\"\")","v":"2020-03-12"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!H694=\"\",\"\",ZOZNAM!H694),\"\")","v":"2020-03-13"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!I694=\"\",\"\",ZOZNAM!I694),\"\")","v":"930 GBP"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!J694=\"\",\"\",ZOZNAM!J694),\"\")","v":""},{"$f":"IF($A703<>\"\",IF(ZOZNAM!K694=\"\",\"\",ZOZNAM!K694),\"\")","v":"https://www.timberlake.co.uk/courses/stata-panel-data-usa.html"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!L694=\"\",\"\",ZOZNAM!L694),\"\")","v":"Panel data econometrics has developed rapidly. Longitudinal data – both with a large number of units tracked for a short period and with a relative small number of units for a long time - are more and more available to researchers and methods to analyse these data are in high demand from professionals and academics from different fields. \n\nThis two-day course offers a comprehensive overview on panel data methods with Stata, covering linear models with exogenous and endogenous variables, dynamic linear models, and some nonlinear models. \n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.\n\nBy the end of the two-day course participants will be able to prepare panel data for analysis with Stata, choose the relevant model and get the parameter estimates. \n\nThis course also provides a brief review to multivariate regression analysis before discussing in details panel data techniques using Stata.\n"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!M694=\"\",\"\",ZOZNAM!M694),\"\")","v":"Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr."},{"$f":"IF($A703<>\"\",IF(ZOZNAM!N694=\"\",\"\",ZOZNAM!N694),\"\")","v":"nie"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!O694=\"\",\"\",ZOZNAM!O694),\"\")","v":"nie"},{"$f":"IF($A703<>\"\",IF(ZOZNAM!P694=\"\",\"\",ZOZNAM!P694),\"\")","v":2},{"$f":"IF($A703<>\"\",IF(ZOZNAM!Q694=\"\",\"\",ZOZNAM!Q694),\"\")","v":""},{"$f":"IF($A703<>\"\",IF(ZOZNAM!R694=\"\",\"\",ZOZNAM!R694),\"\")","v":""},{"$f":"IF($A703<>\"\",IF(ZOZNAM!S694=\"\",\"\",ZOZNAM!S694),\"\")","v":""},{"$f":"IF($A703<>\"\",IF(ZOZNAM!T694=\"\",\"\",ZOZNAM!T694),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C695)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C695)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C695)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C695)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C695)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C695)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L695)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L695)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L695)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L695)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L695)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L695)),FALSE))),ZOZNAM!G695>=$C$9),ZOZNAM!A695,\"\")","v":"TI279"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!B695=\"\",\"\",ZOZNAM!B695),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!C695=\"\",\"\",ZOZNAM!C695),\"\")","v":"Panel Data Analysis using Stata"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!D695=\"\",\"\",ZOZNAM!D695),\"\")","v":"Dublin, Írsko"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!E695=\"\",\"\",ZOZNAM!E695),\"\")","v":2},{"$f":"IF($A704<>\"\",IF(ZOZNAM!F695=\"\",\"\",ZOZNAM!F695),\"\")","v":2},{"$f":"IF($A704<>\"\",IF(ZOZNAM!G695=\"\",\"\",ZOZNAM!G695),\"\")","v":"2020-03-18"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!H695=\"\",\"\",ZOZNAM!H695),\"\")","v":"2020-03-19"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!I695=\"\",\"\",ZOZNAM!I695),\"\")","v":"930 GBP"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!J695=\"\",\"\",ZOZNAM!J695),\"\")","v":""},{"$f":"IF($A704<>\"\",IF(ZOZNAM!K695=\"\",\"\",ZOZNAM!K695),\"\")","v":"https://www.timberlake.co.uk/courses/stata-panel-data-ire.html"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!L695=\"\",\"\",ZOZNAM!L695),\"\")","v":"This two-day course is for professionals and researchers from all academic disciplines. \n\nThe course assumes a foundation of statistical knowledge and experience of using statistical software.\n\nParticipants will be introduced to Panel Data analysis and will be taught the statistical theory behind these methods, and they will apply these methods to specially chosen datasets using examples from economic, social, and medical research.\n"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!M695=\"\",\"\",ZOZNAM!M695),\"\")","v":"Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr."},{"$f":"IF($A704<>\"\",IF(ZOZNAM!N695=\"\",\"\",ZOZNAM!N695),\"\")","v":"nie"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!O695=\"\",\"\",ZOZNAM!O695),\"\")","v":"nie"},{"$f":"IF($A704<>\"\",IF(ZOZNAM!P695=\"\",\"\",ZOZNAM!P695),\"\")","v":2},{"$f":"IF($A704<>\"\",IF(ZOZNAM!Q695=\"\",\"\",ZOZNAM!Q695),\"\")","v":""},{"$f":"IF($A704<>\"\",IF(ZOZNAM!R695=\"\",\"\",ZOZNAM!R695),\"\")","v":""},{"$f":"IF($A704<>\"\",IF(ZOZNAM!S695=\"\",\"\",ZOZNAM!S695),\"\")","v":""},{"$f":"IF($A704<>\"\",IF(ZOZNAM!T695=\"\",\"\",ZOZNAM!T695),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C696)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C696)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C696)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C696)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C696)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C696)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L696)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L696)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L696)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L696)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L696)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L696)),FALSE))),ZOZNAM!G696>=$C$9),ZOZNAM!A696,\"\")","v":"TI280"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!B696=\"\",\"\",ZOZNAM!B696),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!C696=\"\",\"\",ZOZNAM!C696),\"\")","v":"Panel Data Analysis using Stata"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!D696=\"\",\"\",ZOZNAM!D696),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!E696=\"\",\"\",ZOZNAM!E696),\"\")","v":2},{"$f":"IF($A705<>\"\",IF(ZOZNAM!F696=\"\",\"\",ZOZNAM!F696),\"\")","v":2},{"$f":"IF($A705<>\"\",IF(ZOZNAM!G696=\"\",\"\",ZOZNAM!G696),\"\")","v":"2020-03-26"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!H696=\"\",\"\",ZOZNAM!H696),\"\")","v":"2020-03-27"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!I696=\"\",\"\",ZOZNAM!I696),\"\")","v":"930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!J696=\"\",\"\",ZOZNAM!J696),\"\")","v":"5-calendar days prior to the start of the course"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!K696=\"\",\"\",ZOZNAM!K696),\"\")","v":"https://www.timberlake.co.uk/courses/stata-panel-data.html"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!L696=\"\",\"\",ZOZNAM!L696),\"\")","v":"The course offers a comprehensive overview on panel data methods with Stata, covering linear models with exogenous and endogenous variables, dynamic linear models, and some nonlinear models.Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.By the end of the two-day course participants should be able to prepare panel data for the analysis with Stata, choose the relevant model and get the parameter estimates."},{"$f":"IF($A705<>\"\",IF(ZOZNAM!M696=\"\",\"\",ZOZNAM!M696),\"\")","v":"Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed."},{"$f":"IF($A705<>\"\",IF(ZOZNAM!N696=\"\",\"\",ZOZNAM!N696),\"\")","v":"nie"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!O696=\"\",\"\",ZOZNAM!O696),\"\")","v":"nie"},{"$f":"IF($A705<>\"\",IF(ZOZNAM!P696=\"\",\"\",ZOZNAM!P696),\"\")","v":2},{"$f":"IF($A705<>\"\",IF(ZOZNAM!Q696=\"\",\"\",ZOZNAM!Q696),\"\")","v":""},{"$f":"IF($A705<>\"\",IF(ZOZNAM!R696=\"\",\"\",ZOZNAM!R696),\"\")","v":""},{"$f":"IF($A705<>\"\",IF(ZOZNAM!S696=\"\",\"\",ZOZNAM!S696),\"\")","v":""},{"$f":"IF($A705<>\"\",IF(ZOZNAM!T696=\"\",\"\",ZOZNAM!T696),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C697)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C697)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C697)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C697)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C697)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C697)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L697)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L697)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L697)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L697)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L697)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L697)),FALSE))),ZOZNAM!G697>=$C$9),ZOZNAM!A697,\"\")","v":"TI282"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!B697=\"\",\"\",ZOZNAM!B697),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!C697=\"\",\"\",ZOZNAM!C697),\"\")","v":"Instrumental Variables and Structural Equation Modelling using Stata"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!D697=\"\",\"\",ZOZNAM!D697),\"\")","v":"Dublin, Írsko"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!E697=\"\",\"\",ZOZNAM!E697),\"\")","v":2},{"$f":"IF($A706<>\"\",IF(ZOZNAM!F697=\"\",\"\",ZOZNAM!F697),\"\")","v":2},{"$f":"IF($A706<>\"\",IF(ZOZNAM!G697=\"\",\"\",ZOZNAM!G697),\"\")","v":"2020-05-04"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!H697=\"\",\"\",ZOZNAM!H697),\"\")","v":"2020-05-05"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!I697=\"\",\"\",ZOZNAM!I697),\"\")","v":"930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!J697=\"\",\"\",ZOZNAM!J697),\"\")","v":"5-calendar days prior to the start of the course"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!K697=\"\",\"\",ZOZNAM!K697),\"\")","v":"https://www.timberlake.co.uk/courses/ivsm-stata-ire.html"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!L697=\"\",\"\",ZOZNAM!L697),\"\")","v":"This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity.Participants will obtain extensive hands-on experience by working on real datasets examples from different social and biomedical sciences. Technical treatment of the subjects will be set out only to properly address real-world applications.The course will demonstrate visual intuitive graphical representations of causal links, as well as on traditional algebraic approach. The course will enable them to recognise IVs and design causal paths in their own studies, by understanding underlying assumptions in different fields of application.The practical sessions will use the Stata commands ivregress and sem/gsem."},{"$f":"IF($A706<>\"\",IF(ZOZNAM!M697=\"\",\"\",ZOZNAM!M697),\"\")","v":"Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed."},{"$f":"IF($A706<>\"\",IF(ZOZNAM!N697=\"\",\"\",ZOZNAM!N697),\"\")","v":"nie"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!O697=\"\",\"\",ZOZNAM!O697),\"\")","v":"nie"},{"$f":"IF($A706<>\"\",IF(ZOZNAM!P697=\"\",\"\",ZOZNAM!P697),\"\")","v":2},{"$f":"IF($A706<>\"\",IF(ZOZNAM!Q697=\"\",\"\",ZOZNAM!Q697),\"\")","v":""},{"$f":"IF($A706<>\"\",IF(ZOZNAM!R697=\"\",\"\",ZOZNAM!R697),\"\")","v":""},{"$f":"IF($A706<>\"\",IF(ZOZNAM!S697=\"\",\"\",ZOZNAM!S697),\"\")","v":""},{"$f":"IF($A706<>\"\",IF(ZOZNAM!T697=\"\",\"\",ZOZNAM!T697),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C698)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C698)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C698)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C698)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C698)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C698)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L698)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L698)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L698)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L698)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L698)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L698)),FALSE))),ZOZNAM!G698>=$C$9),ZOZNAM!A698,\"\")","v":"TI281"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!B698=\"\",\"\",ZOZNAM!B698),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!C698=\"\",\"\",ZOZNAM!C698),\"\")","v":"Panel Data Analysis using Stata"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!D698=\"\",\"\",ZOZNAM!D698),\"\")","v":"Dublin, Írsko"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!E698=\"\",\"\",ZOZNAM!E698),\"\")","v":2},{"$f":"IF($A707<>\"\",IF(ZOZNAM!F698=\"\",\"\",ZOZNAM!F698),\"\")","v":2},{"$f":"IF($A707<>\"\",IF(ZOZNAM!G698=\"\",\"\",ZOZNAM!G698),\"\")","v":"2020-05-18"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!H698=\"\",\"\",ZOZNAM!H698),\"\")","v":"2020-05-19"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!I698=\"\",\"\",ZOZNAM!I698),\"\")","v":"930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!J698=\"\",\"\",ZOZNAM!J698),\"\")","v":"5-calendar days prior to the start of the course"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!K698=\"\",\"\",ZOZNAM!K698),\"\")","v":"https://www.timberlake.co.uk/courses/stata-panel-data-ire.html#overview"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!L698=\"\",\"\",ZOZNAM!L698),\"\")","v":"articipants will be introduced to Panel Data analysis and will be taught the statistical theory behind these methods, and they will apply these methods to specially chosen datasets using examples from economic, social, and medical research."},{"$f":"IF($A707<>\"\",IF(ZOZNAM!M698=\"\",\"\",ZOZNAM!M698),\"\")","v":"Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed."},{"$f":"IF($A707<>\"\",IF(ZOZNAM!N698=\"\",\"\",ZOZNAM!N698),\"\")","v":"nie"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!O698=\"\",\"\",ZOZNAM!O698),\"\")","v":"nie"},{"$f":"IF($A707<>\"\",IF(ZOZNAM!P698=\"\",\"\",ZOZNAM!P698),\"\")","v":2},{"$f":"IF($A707<>\"\",IF(ZOZNAM!Q698=\"\",\"\",ZOZNAM!Q698),\"\")","v":""},{"$f":"IF($A707<>\"\",IF(ZOZNAM!R698=\"\",\"\",ZOZNAM!R698),\"\")","v":""},{"$f":"IF($A707<>\"\",IF(ZOZNAM!S698=\"\",\"\",ZOZNAM!S698),\"\")","v":""},{"$f":"IF($A707<>\"\",IF(ZOZNAM!T698=\"\",\"\",ZOZNAM!T698),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C699)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C699)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C699)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C699)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C699)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C699)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L699)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L699)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L699)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L699)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L699)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L699)),FALSE))),ZOZNAM!G699>=$C$9),ZOZNAM!A699,\"\")","v":"TI283"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!B699=\"\",\"\",ZOZNAM!B699),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!C699=\"\",\"\",ZOZNAM!C699),\"\")","v":"Advances in Causal Inference using Stata"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!D699=\"\",\"\",ZOZNAM!D699),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!E699=\"\",\"\",ZOZNAM!E699),\"\")","v":2},{"$f":"IF($A708<>\"\",IF(ZOZNAM!F699=\"\",\"\",ZOZNAM!F699),\"\")","v":2},{"$f":"IF($A708<>\"\",IF(ZOZNAM!G699=\"\",\"\",ZOZNAM!G699),\"\")","v":"2020-05-28"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!H699=\"\",\"\",ZOZNAM!H699),\"\")","v":"2020-05-29"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!I699=\"\",\"\",ZOZNAM!I699),\"\")","v":"930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!J699=\"\",\"\",ZOZNAM!J699),\"\")","v":"5-calendar days prior to the start of the course"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!K699=\"\",\"\",ZOZNAM!K699),\"\")","v":"https://www.timberlake.co.uk/courses/advances-in-causal-inference-using-stata.html"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!L699=\"\",\"\",ZOZNAM!L699),\"\")","v":"Econometric modelling for causal inference and program evaluation has received tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitation"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!M699=\"\",\"\",ZOZNAM!M699),\"\")","v":"Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed."},{"$f":"IF($A708<>\"\",IF(ZOZNAM!N699=\"\",\"\",ZOZNAM!N699),\"\")","v":"nie"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!O699=\"\",\"\",ZOZNAM!O699),\"\")","v":"nie"},{"$f":"IF($A708<>\"\",IF(ZOZNAM!P699=\"\",\"\",ZOZNAM!P699),\"\")","v":2},{"$f":"IF($A708<>\"\",IF(ZOZNAM!Q699=\"\",\"\",ZOZNAM!Q699),\"\")","v":""},{"$f":"IF($A708<>\"\",IF(ZOZNAM!R699=\"\",\"\",ZOZNAM!R699),\"\")","v":""},{"$f":"IF($A708<>\"\",IF(ZOZNAM!S699=\"\",\"\",ZOZNAM!S699),\"\")","v":""},{"$f":"IF($A708<>\"\",IF(ZOZNAM!T699=\"\",\"\",ZOZNAM!T699),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C700)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C700)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C700)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C700)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C700)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C700)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L700)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L700)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L700)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L700)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L700)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L700)),FALSE))),ZOZNAM!G700>=$C$9),ZOZNAM!A700,\"\")","v":"EM029"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!B700=\"\",\"\",ZOZNAM!B700),\"\")","v":"EcoMod Network"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!C700=\"\",\"\",ZOZNAM!C700),\"\")","v":"Quantitative Methods for Fiscal and Budgetary Policies"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!D700=\"\",\"\",ZOZNAM!D700),\"\")","v":"Praha, Česko"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!E700=\"\",\"\",ZOZNAM!E700),\"\")","v":5},{"$f":"IF($A709<>\"\",IF(ZOZNAM!F700=\"\",\"\",ZOZNAM!F700),\"\")","v":5},{"$f":"IF($A709<>\"\",IF(ZOZNAM!G700=\"\",\"\",ZOZNAM!G700),\"\")","v":"2020-09-21"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!H700=\"\",\"\",ZOZNAM!H700),\"\")","v":"2020-09-25"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!I700=\"\",\"\",ZOZNAM!I700),\"\")","v":"3 767 USD"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!J700=\"\",\"\",ZOZNAM!J700),\"\")","v":""},{"$f":"IF($A709<>\"\",IF(ZOZNAM!K700=\"\",\"\",ZOZNAM!K700),\"\")","v":"https://ecomod.net/modeling-school/list-of-courses/quantitative-methods-for-fiscal-and-budgetary-policies"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!L700=\"\",\"\",ZOZNAM!L700),\"\")","v":"As the current global economic and financial crisis shows, government plays a major role in the economy. In order to monitor the economy in an uncertain and rapidly changing world, to take the best decisions and to assess their impacts, Ministries of Finance need state-of-the-art modeling techniques.The course is fully practical. Theoretical explanations are followed by individual hands-on exercises on the computer. Please bring your laptop."},{"$f":"IF($A709<>\"\",IF(ZOZNAM!M700=\"\",\"\",ZOZNAM!M700),\"\")","v":"The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course."},{"$f":"IF($A709<>\"\",IF(ZOZNAM!N700=\"\",\"\",ZOZNAM!N700),\"\")","v":"nie"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!O700=\"\",\"\",ZOZNAM!O700),\"\")","v":"nie"},{"$f":"IF($A709<>\"\",IF(ZOZNAM!P700=\"\",\"\",ZOZNAM!P700),\"\")","v":""},{"$f":"IF($A709<>\"\",IF(ZOZNAM!Q700=\"\",\"\",ZOZNAM!Q700),\"\")","v":""},{"$f":"IF($A709<>\"\",IF(ZOZNAM!R700=\"\",\"\",ZOZNAM!R700),\"\")","v":""},{"$f":"IF($A709<>\"\",IF(ZOZNAM!S700=\"\",\"\",ZOZNAM!S700),\"\")","v":""},{"$f":"IF($A709<>\"\",IF(ZOZNAM!T700=\"\",\"\",ZOZNAM!T700),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C701)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C701)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C701)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C701)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C701)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C701)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L701)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L701)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L701)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L701)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L701)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L701)),FALSE))),ZOZNAM!G701>=$C$9),ZOZNAM!A701,\"\")","v":"EM030"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!B701=\"\",\"\",ZOZNAM!B701),\"\")","v":"EcoMod Network"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!C701=\"\",\"\",ZOZNAM!C701),\"\")","v":"Financial Social Accounting Matrices (FSAM): Building and Modeling Real-Financial Multiplier Models for Policy Analysis"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!D701=\"\",\"\",ZOZNAM!D701),\"\")","v":"Praha, Česko"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!E701=\"\",\"\",ZOZNAM!E701),\"\")","v":5},{"$f":"IF($A710<>\"\",IF(ZOZNAM!F701=\"\",\"\",ZOZNAM!F701),\"\")","v":5},{"$f":"IF($A710<>\"\",IF(ZOZNAM!G701=\"\",\"\",ZOZNAM!G701),\"\")","v":"2020-09-21"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!H701=\"\",\"\",ZOZNAM!H701),\"\")","v":"2020-09-25"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!I701=\"\",\"\",ZOZNAM!I701),\"\")","v":"3 767 USD"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!J701=\"\",\"\",ZOZNAM!J701),\"\")","v":""},{"$f":"IF($A710<>\"\",IF(ZOZNAM!K701=\"\",\"\",ZOZNAM!K701),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2020"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!L701=\"\",\"\",ZOZNAM!L701),\"\")","v":"This course provides a strong theoretical foundation and hands-on experience in building Social Accounting Matrices according to the new recommendations of System of National Accounts 2008. The content of the course goes beyond the generalized input-output framework for calculating simple multipliers by considering a Financial Social Accounting Matrix (FSAM)."},{"$f":"IF($A710<>\"\",IF(ZOZNAM!M701=\"\",\"\",ZOZNAM!M701),\"\")","v":"The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course."},{"$f":"IF($A710<>\"\",IF(ZOZNAM!N701=\"\",\"\",ZOZNAM!N701),\"\")","v":"nie"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!O701=\"\",\"\",ZOZNAM!O701),\"\")","v":"nie"},{"$f":"IF($A710<>\"\",IF(ZOZNAM!P701=\"\",\"\",ZOZNAM!P701),\"\")","v":""},{"$f":"IF($A710<>\"\",IF(ZOZNAM!Q701=\"\",\"\",ZOZNAM!Q701),\"\")","v":""},{"$f":"IF($A710<>\"\",IF(ZOZNAM!R701=\"\",\"\",ZOZNAM!R701),\"\")","v":""},{"$f":"IF($A710<>\"\",IF(ZOZNAM!S701=\"\",\"\",ZOZNAM!S701),\"\")","v":""},{"$f":"IF($A710<>\"\",IF(ZOZNAM!T701=\"\",\"\",ZOZNAM!T701),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C702)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C702)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C702)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C702)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C702)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C702)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L702)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L702)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L702)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L702)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L702)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L702)),FALSE))),ZOZNAM!G702>=$C$9),ZOZNAM!A702,\"\")","v":"EM031"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!B702=\"\",\"\",ZOZNAM!B702),\"\")","v":"EcoMod Network"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!C702=\"\",\"\",ZOZNAM!C702),\"\")","v":"Stock-Flow Consistent Macroeconomic Modeling Using Eviews"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!D702=\"\",\"\",ZOZNAM!D702),\"\")","v":"Praha, Česko"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!E702=\"\",\"\",ZOZNAM!E702),\"\")","v":5},{"$f":"IF($A711<>\"\",IF(ZOZNAM!F702=\"\",\"\",ZOZNAM!F702),\"\")","v":5},{"$f":"IF($A711<>\"\",IF(ZOZNAM!G702=\"\",\"\",ZOZNAM!G702),\"\")","v":"2020-09-21"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!H702=\"\",\"\",ZOZNAM!H702),\"\")","v":"2020-09-25"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!I702=\"\",\"\",ZOZNAM!I702),\"\")","v":"3 767 USD"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!J702=\"\",\"\",ZOZNAM!J702),\"\")","v":""},{"$f":"IF($A711<>\"\",IF(ZOZNAM!K702=\"\",\"\",ZOZNAM!K702),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2020"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!L702=\"\",\"\",ZOZNAM!L702),\"\")","v":"Intensive hands-on course at the introductory level. The course provides theoretical foundations and hands-on experience in building dynamic stock-flow-consistent (SFC) models which integrate real and financial markets."},{"$f":"IF($A711<>\"\",IF(ZOZNAM!M702=\"\",\"\",ZOZNAM!M702),\"\")","v":"The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course."},{"$f":"IF($A711<>\"\",IF(ZOZNAM!N702=\"\",\"\",ZOZNAM!N702),\"\")","v":"nie"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!O702=\"\",\"\",ZOZNAM!O702),\"\")","v":"nie"},{"$f":"IF($A711<>\"\",IF(ZOZNAM!P702=\"\",\"\",ZOZNAM!P702),\"\")","v":""},{"$f":"IF($A711<>\"\",IF(ZOZNAM!Q702=\"\",\"\",ZOZNAM!Q702),\"\")","v":""},{"$f":"IF($A711<>\"\",IF(ZOZNAM!R702=\"\",\"\",ZOZNAM!R702),\"\")","v":""},{"$f":"IF($A711<>\"\",IF(ZOZNAM!S702=\"\",\"\",ZOZNAM!S702),\"\")","v":""},{"$f":"IF($A711<>\"\",IF(ZOZNAM!T702=\"\",\"\",ZOZNAM!T702),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C704)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C704)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C704)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C704)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C704)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C704)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L704)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L704)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L704)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L704)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L704)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L704)),FALSE))),ZOZNAM!G704>=$C$9),ZOZNAM!A704,\"\")","v":"EM033"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!B704=\"\",\"\",ZOZNAM!B704),\"\")","v":"EcoMod Network"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!C704=\"\",\"\",ZOZNAM!C704),\"\")","v":"Machine Learning with Python for Economics and Econometrics"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!D704=\"\",\"\",ZOZNAM!D704),\"\")","v":"Praha, Česko"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!E704=\"\",\"\",ZOZNAM!E704),\"\")","v":5},{"$f":"IF($A713<>\"\",IF(ZOZNAM!F704=\"\",\"\",ZOZNAM!F704),\"\")","v":5},{"$f":"IF($A713<>\"\",IF(ZOZNAM!G704=\"\",\"\",ZOZNAM!G704),\"\")","v":"2020-09-21"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!H704=\"\",\"\",ZOZNAM!H704),\"\")","v":"2020-09-25"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!I704=\"\",\"\",ZOZNAM!I704),\"\")","v":"3 767 USD"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!J704=\"\",\"\",ZOZNAM!J704),\"\")","v":""},{"$f":"IF($A713<>\"\",IF(ZOZNAM!K704=\"\",\"\",ZOZNAM!K704),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!L704=\"\",\"\",ZOZNAM!L704),\"\")","v":"Intensive and hands-on course at the introductory level.\n\nThe course will introduce all the basic techniques of machine learning using Python, Keras and tensorFlow.\n\nAs data become available faster and in huge quantities, businesses and governments require new analytical methods. Big Data and Machine Learning became essential for economics, finance, government and businesses to learn about."},{"$f":"IF($A713<>\"\",IF(ZOZNAM!M704=\"\",\"\",ZOZNAM!M704),\"\")","v":"The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course."},{"$f":"IF($A713<>\"\",IF(ZOZNAM!N704=\"\",\"\",ZOZNAM!N704),\"\")","v":"nie"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!O704=\"\",\"\",ZOZNAM!O704),\"\")","v":"nie"},{"$f":"IF($A713<>\"\",IF(ZOZNAM!P704=\"\",\"\",ZOZNAM!P704),\"\")","v":""},{"$f":"IF($A713<>\"\",IF(ZOZNAM!Q704=\"\",\"\",ZOZNAM!Q704),\"\")","v":""},{"$f":"IF($A713<>\"\",IF(ZOZNAM!R704=\"\",\"\",ZOZNAM!R704),\"\")","v":""},{"$f":"IF($A713<>\"\",IF(ZOZNAM!S704=\"\",\"\",ZOZNAM!S704),\"\")","v":""},{"$f":"IF($A713<>\"\",IF(ZOZNAM!T704=\"\",\"\",ZOZNAM!T704),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C707)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C707)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C707)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C707)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C707)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C707)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L707)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L707)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L707)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L707)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L707)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L707)),FALSE))),ZOZNAM!G707>=$C$9),ZOZNAM!A707,\"\")","v":"EM036"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!B707=\"\",\"\",ZOZNAM!B707),\"\")","v":"EcoMod Network"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!C707=\"\",\"\",ZOZNAM!C707),\"\")","v":"Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!D707=\"\",\"\",ZOZNAM!D707),\"\")","v":"Praha, Česko"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!E707=\"\",\"\",ZOZNAM!E707),\"\")","v":5},{"$f":"IF($A716<>\"\",IF(ZOZNAM!F707=\"\",\"\",ZOZNAM!F707),\"\")","v":5},{"$f":"IF($A716<>\"\",IF(ZOZNAM!G707=\"\",\"\",ZOZNAM!G707),\"\")","v":"2020-09-21"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!H707=\"\",\"\",ZOZNAM!H707),\"\")","v":"2020-09-25"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!I707=\"\",\"\",ZOZNAM!I707),\"\")","v":"3 767 USD"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!J707=\"\",\"\",ZOZNAM!J707),\"\")","v":""},{"$f":"IF($A716<>\"\",IF(ZOZNAM!K707=\"\",\"\",ZOZNAM!K707),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!L707=\"\",\"\",ZOZNAM!L707),\"\")","v":"Intensive course at the introductory level.\n\nThis course is tailored for professionals involved in economic forecasting and policy analysis in the central banks, ministries, research organizations, and international institutions.\n\nThe course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting."},{"$f":"IF($A716<>\"\",IF(ZOZNAM!M707=\"\",\"\",ZOZNAM!M707),\"\")","v":"The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course."},{"$f":"IF($A716<>\"\",IF(ZOZNAM!N707=\"\",\"\",ZOZNAM!N707),\"\")","v":"nie"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!O707=\"\",\"\",ZOZNAM!O707),\"\")","v":"nie"},{"$f":"IF($A716<>\"\",IF(ZOZNAM!P707=\"\",\"\",ZOZNAM!P707),\"\")","v":""},{"$f":"IF($A716<>\"\",IF(ZOZNAM!Q707=\"\",\"\",ZOZNAM!Q707),\"\")","v":""},{"$f":"IF($A716<>\"\",IF(ZOZNAM!R707=\"\",\"\",ZOZNAM!R707),\"\")","v":""},{"$f":"IF($A716<>\"\",IF(ZOZNAM!S707=\"\",\"\",ZOZNAM!S707),\"\")","v":""},{"$f":"IF($A716<>\"\",IF(ZOZNAM!T707=\"\",\"\",ZOZNAM!T707),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C708)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C708)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C708)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C708)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C708)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C708)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L708)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L708)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L708)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L708)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L708)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L708)),FALSE))),ZOZNAM!G708>=$C$9),ZOZNAM!A708,\"\")","v":"NS002"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!B708=\"\",\"\",ZOZNAM!B708),\"\")","v":"NATO School"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!C708=\"\",\"\",ZOZNAM!C708),\"\")","v":"Energy Security Strategic Awareness Course"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!D708=\"\",\"\",ZOZNAM!D708),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!E708=\"\",\"\",ZOZNAM!E708),\"\")","v":5},{"$f":"IF($A717<>\"\",IF(ZOZNAM!F708=\"\",\"\",ZOZNAM!F708),\"\")","v":5},{"$f":"IF($A717<>\"\",IF(ZOZNAM!G708=\"\",\"\",ZOZNAM!G708),\"\")","v":"2020-09-21"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!H708=\"\",\"\",ZOZNAM!H708),\"\")","v":"2020-09-25"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!I708=\"\",\"\",ZOZNAM!I708),\"\")","v":"0 EUR"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!J708=\"\",\"\",ZOZNAM!J708),\"\")","v":""},{"$f":"IF($A717<>\"\",IF(ZOZNAM!K708=\"\",\"\",ZOZNAM!K708),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=134&TabId=155&language=en-US"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!L708=\"\",\"\",ZOZNAM!L708),\"\")","v":"The aim of this course is to raise awareness of current energy developments and vulnerabilities as part of emerging challenges to security, by developing a common understanding of NATO’s current energy security agenda and of the need to better connect NATO with national and international partners in the field of energy security."},{"$f":"IF($A717<>\"\",IF(ZOZNAM!M708=\"\",\"\",ZOZNAM!M708),\"\")","v":"NATO unclassified"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!N708=\"\",\"\",ZOZNAM!N708),\"\")","v":"nie"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!O708=\"\",\"\",ZOZNAM!O708),\"\")","v":"nie"},{"$f":"IF($A717<>\"\",IF(ZOZNAM!P708=\"\",\"\",ZOZNAM!P708),\"\")","v":""},{"$f":"IF($A717<>\"\",IF(ZOZNAM!Q708=\"\",\"\",ZOZNAM!Q708),\"\")","v":""},{"$f":"IF($A717<>\"\",IF(ZOZNAM!R708=\"\",\"\",ZOZNAM!R708),\"\")","v":""},{"$f":"IF($A717<>\"\",IF(ZOZNAM!S708=\"\",\"\",ZOZNAM!S708),\"\")","v":""},{"$f":"IF($A717<>\"\",IF(ZOZNAM!T708=\"\",\"\",ZOZNAM!T708),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C709)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C709)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C709)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C709)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C709)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C709)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L709)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L709)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L709)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L709)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L709)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L709)),FALSE))),ZOZNAM!G709>=$C$9),ZOZNAM!A709,\"\")","v":"OU004"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!B709=\"\",\"\",ZOZNAM!B709),\"\")","v":"University of Oxford"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!C709=\"\",\"\",ZOZNAM!C709),\"\")","v":"Inequality and Labour Markets (Online)"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!D709=\"\",\"\",ZOZNAM!D709),\"\")","v":"Online"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!E709=\"\",\"\",ZOZNAM!E709),\"\")","v":54},{"$f":"IF($A718<>\"\",IF(ZOZNAM!F709=\"\",\"\",ZOZNAM!F709),\"\")","v":75},{"$f":"IF($A718<>\"\",IF(ZOZNAM!G709=\"\",\"\",ZOZNAM!G709),\"\")","v":"2020-09-21"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!H709=\"\",\"\",ZOZNAM!H709),\"\")","v":"2020-12-04"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!I709=\"\",\"\",ZOZNAM!I709),\"\")","v":"300 GBP"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!J709=\"\",\"\",ZOZNAM!J709),\"\")","v":""},{"$f":"IF($A718<>\"\",IF(ZOZNAM!K709=\"\",\"\",ZOZNAM!K709),\"\")","v":"https://www.conted.ox.ac.uk/courses/inequality-and-labour-markets-online?code=O20P385SOV"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!L709=\"\",\"\",ZOZNAM!L709),\"\")","v":"Labour market inequality, particularly the difference in earnings between the highest paid and lowest paid, has become an important topic across many countries. Many governments agree that the gap between the best-off and worst-off has grown too large, and that as well as being unjust, such outcomes are also detrimental to other social and economic outcomes. This course looks at what determines pay in developed countries, and why this differs so much between them. It examines the role human capital - a worker's education, capabilities and skills - have played in the past, and the role it is expected to play in the future. However, it then goes beyond a human capital approach and considers what role employers and institutions play, and how, if ever, government policy can reduce inequality when more education and training isn't enough."},{"$f":"IF($A718<>\"\",IF(ZOZNAM!M709=\"\",\"\",ZOZNAM!M709),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!N709=\"\",\"\",ZOZNAM!N709),\"\")","v":""},{"$f":"IF($A718<>\"\",IF(ZOZNAM!O709=\"\",\"\",ZOZNAM!O709),\"\")","v":"áno"},{"$f":"IF($A718<>\"\",IF(ZOZNAM!P709=\"\",\"\",ZOZNAM!P709),\"\")","v":""},{"$f":"IF($A718<>\"\",IF(ZOZNAM!Q709=\"\",\"\",ZOZNAM!Q709),\"\")","v":""},{"$f":"IF($A718<>\"\",IF(ZOZNAM!R709=\"\",\"\",ZOZNAM!R709),\"\")","v":""},{"$f":"IF($A718<>\"\",IF(ZOZNAM!S709=\"\",\"\",ZOZNAM!S709),\"\")","v":""},{"$f":"IF($A718<>\"\",IF(ZOZNAM!T709=\"\",\"\",ZOZNAM!T709),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C710)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C710)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C710)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C710)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C710)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C710)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L710)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L710)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L710)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L710)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L710)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L710)),FALSE))),ZOZNAM!G710>=$C$9),ZOZNAM!A710,\"\")","v":"WU002"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!B710=\"\",\"\",ZOZNAM!B710),\"\")","v":"Wageningen University"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!C710=\"\",\"\",ZOZNAM!C710),\"\")","v":"Farmer Agency for Rural Economies"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!D710=\"\",\"\",ZOZNAM!D710),\"\")","v":"Wageningen, Holandsko"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!E710=\"\",\"\",ZOZNAM!E710),\"\")","v":15},{"$f":"IF($A719<>\"\",IF(ZOZNAM!F710=\"\",\"\",ZOZNAM!F710),\"\")","v":19},{"$f":"IF($A719<>\"\",IF(ZOZNAM!G710=\"\",\"\",ZOZNAM!G710),\"\")","v":"2020-09-21"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!H710=\"\",\"\",ZOZNAM!H710),\"\")","v":"2020-10-09"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!I710=\"\",\"\",ZOZNAM!I710),\"\")","v":"4100 EUR"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!J710=\"\",\"\",ZOZNAM!J710),\"\")","v":""},{"$f":"IF($A719<>\"\",IF(ZOZNAM!K710=\"\",\"\",ZOZNAM!K710),\"\")","v":"https://www.wur.nl/en/show/Farmer-Agency-for-Rural-Economies.htm"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!L710=\"\",\"\",ZOZNAM!L710),\"\")","v":"Join this course and take home many practical tools and approaches for promoting farmer entrepreneurship and strengthening farmers’ organisations. The course is about designing and facilitating farmer-inclusive development. Key elements are:\n\n• Realities of smallholder farmers\n• Governance, management and performance of farmers’ organisations\n• Value chain analysis\n• Improved stakeholder collaboration\n• A more enabling environment for farmer-inclusive development."},{"$f":"IF($A719<>\"\",IF(ZOZNAM!M710=\"\",\"\",ZOZNAM!M710),\"\")","v":"Costs\nTuition fee € 4,100.00\nFull board/lodging € 2,040.00\nHealth insurance € 33.00\nTotal € 6,173.00\nTuition fee\n\nIncluding administration fee, costs of lecture material and of field trips\n(as far as they are included in the programme).\n\nFull board/lodging\n\nParticipants will be accommodated in Wageningen."},{"$f":"IF($A719<>\"\",IF(ZOZNAM!N710=\"\",\"\",ZOZNAM!N710),\"\")","v":"nie"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!O710=\"\",\"\",ZOZNAM!O710),\"\")","v":"nie"},{"$f":"IF($A719<>\"\",IF(ZOZNAM!P710=\"\",\"\",ZOZNAM!P710),\"\")","v":2},{"$f":"IF($A719<>\"\",IF(ZOZNAM!Q710=\"\",\"\",ZOZNAM!Q710),\"\")","v":""},{"$f":"IF($A719<>\"\",IF(ZOZNAM!R710=\"\",\"\",ZOZNAM!R710),\"\")","v":""},{"$f":"IF($A719<>\"\",IF(ZOZNAM!S710=\"\",\"\",ZOZNAM!S710),\"\")","v":""},{"$f":"IF($A719<>\"\",IF(ZOZNAM!T710=\"\",\"\",ZOZNAM!T710),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C712)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C712)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C712)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C712)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C712)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C712)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L712)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L712)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L712)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L712)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L712)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L712)),FALSE))),ZOZNAM!G712>=$C$9),ZOZNAM!A712,\"\")","v":"OU005"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!B712=\"\",\"\",ZOZNAM!B712),\"\")","v":"University of Oxford"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!C712=\"\",\"\",ZOZNAM!C712),\"\")","v":"Macroeconomics: An Introduction (Online)"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!D712=\"\",\"\",ZOZNAM!D712),\"\")","v":"Online"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!E712=\"\",\"\",ZOZNAM!E712),\"\")","v":52},{"$f":"IF($A721<>\"\",IF(ZOZNAM!F712=\"\",\"\",ZOZNAM!F712),\"\")","v":73},{"$f":"IF($A721<>\"\",IF(ZOZNAM!G712=\"\",\"\",ZOZNAM!G712),\"\")","v":"2020-09-23"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!H712=\"\",\"\",ZOZNAM!H712),\"\")","v":"2020-12-04"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!I712=\"\",\"\",ZOZNAM!I712),\"\")","v":"300 GBP"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!J712=\"\",\"\",ZOZNAM!J712),\"\")","v":""},{"$f":"IF($A721<>\"\",IF(ZOZNAM!K712=\"\",\"\",ZOZNAM!K712),\"\")","v":"https://www.conted.ox.ac.uk/courses/macroeconomics-an-introduction-online?code=O20P411SOV"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!L712=\"\",\"\",ZOZNAM!L712),\"\")","v":"This course provides a detailed introduction to, and encompasses the fundamentals of macroeconomics. On completion of the course you will have the ability to critically assess real-world macroeconomic developments at first-year undergraduate level. his short course aims to provide students with an understanding of conventional macroeconomic thinking so that they can understand the essential principles of how the macroeconomy of nation states functions in a globalised world. Once students have completed this course they will be better placed to understand the causes of inflation and unemployment and the relevance of government monetary and fiscal policy in dealing with such economic problems. Therefore, students will be able to use the knowledge gained to understand everyday macroeconomic events. "},{"$f":"IF($A721<>\"\",IF(ZOZNAM!M712=\"\",\"\",ZOZNAM!M712),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!N712=\"\",\"\",ZOZNAM!N712),\"\")","v":""},{"$f":"IF($A721<>\"\",IF(ZOZNAM!O712=\"\",\"\",ZOZNAM!O712),\"\")","v":"áno"},{"$f":"IF($A721<>\"\",IF(ZOZNAM!P712=\"\",\"\",ZOZNAM!P712),\"\")","v":""},{"$f":"IF($A721<>\"\",IF(ZOZNAM!Q712=\"\",\"\",ZOZNAM!Q712),\"\")","v":""},{"$f":"IF($A721<>\"\",IF(ZOZNAM!R712=\"\",\"\",ZOZNAM!R712),\"\")","v":""},{"$f":"IF($A721<>\"\",IF(ZOZNAM!S712=\"\",\"\",ZOZNAM!S712),\"\")","v":""},{"$f":"IF($A721<>\"\",IF(ZOZNAM!T712=\"\",\"\",ZOZNAM!T712),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C714)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C714)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C714)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C714)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C714)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C714)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L714)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L714)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L714)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L714)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L714)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L714)),FALSE))),ZOZNAM!G714>=$C$9),ZOZNAM!A714,\"\")","v":"CE172"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!B714=\"\",\"\",ZOZNAM!B714),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!C714=\"\",\"\",ZOZNAM!C714),\"\")","v":"Ensuring Fiscal Transparency and Budget Comprehensiveness"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!D714=\"\",\"\",ZOZNAM!D714),\"\")","v":"Online"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!E714=\"\",\"\",ZOZNAM!E714),\"\")","v":1},{"$f":"IF($A723<>\"\",IF(ZOZNAM!F714=\"\",\"\",ZOZNAM!F714),\"\")","v":1},{"$f":"IF($A723<>\"\",IF(ZOZNAM!G714=\"\",\"\",ZOZNAM!G714),\"\")","v":"2020-09-24"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!H714=\"\",\"\",ZOZNAM!H714),\"\")","v":"2020-09-24"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!I714=\"\",\"\",ZOZNAM!I714),\"\")","v":"0 EUR"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!J714=\"\",\"\",ZOZNAM!J714),\"\")","v":"2020-09-23"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!K714=\"\",\"\",ZOZNAM!K714),\"\")","v":"https://www.cef-see.org/20-bpe5"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!L714=\"\",\"\",ZOZNAM!L714),\"\")","v":"This webinar will provide a platform for inclusive peer-to-peer exchange of hands-on experiences and practices in utilization of Public Expenditure and Financial Accountability (PEFA) assessments to determine and accelerate PFM reforms. At this event, participants will learn about the prospects and preconditions for utilization of PEFA assessments as tools for streamlining, prioritizing and sequencing of PFM reforms to secure their timely and sustainable outcomes. Furthermore, we will address how to use these assessments to accelerate stakeholder dialogues in the design, implementation and monitoring of reforms, and how to secure multi-stakeholder engagement to anchor the process. The event will promote the principle of “one size does not fit all” in carrying out PFM reforms."},{"$f":"IF($A723<>\"\",IF(ZOZNAM!M714=\"\",\"\",ZOZNAM!M714),\"\")","v":""},{"$f":"IF($A723<>\"\",IF(ZOZNAM!N714=\"\",\"\",ZOZNAM!N714),\"\")","v":""},{"$f":"IF($A723<>\"\",IF(ZOZNAM!O714=\"\",\"\",ZOZNAM!O714),\"\")","v":"nie"},{"$f":"IF($A723<>\"\",IF(ZOZNAM!P714=\"\",\"\",ZOZNAM!P714),\"\")","v":""},{"$f":"IF($A723<>\"\",IF(ZOZNAM!Q714=\"\",\"\",ZOZNAM!Q714),\"\")","v":""},{"$f":"IF($A723<>\"\",IF(ZOZNAM!R714=\"\",\"\",ZOZNAM!R714),\"\")","v":""},{"$f":"IF($A723<>\"\",IF(ZOZNAM!S714=\"\",\"\",ZOZNAM!S714),\"\")","v":""},{"$f":"IF($A723<>\"\",IF(ZOZNAM!T714=\"\",\"\",ZOZNAM!T714),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C715)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C715)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C715)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C715)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C715)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C715)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L715)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L715)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L715)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L715)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L715)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L715)),FALSE))),ZOZNAM!G715>=$C$9),ZOZNAM!A715,\"\")","v":"TS016"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!B715=\"\",\"\",ZOZNAM!B715),\"\")","v":"Tstat"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!C715=\"\",\"\",ZOZNAM!C715),\"\")","v":"INTRODUCTION TO SPATIAL ECONOMETRICS USING STATA"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!D715=\"\",\"\",ZOZNAM!D715),\"\")","v":"Online"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!E715=\"\",\"\",ZOZNAM!E715),\"\")","v":5},{"$f":"IF($A724<>\"\",IF(ZOZNAM!F715=\"\",\"\",ZOZNAM!F715),\"\")","v":5},{"$f":"IF($A724<>\"\",IF(ZOZNAM!G715=\"\",\"\",ZOZNAM!G715),\"\")","v":"2020-09-28"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!H715=\"\",\"\",ZOZNAM!H715),\"\")","v":"2020-10-02"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!I715=\"\",\"\",ZOZNAM!I715),\"\")","v":"2020 EUR"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!J715=\"\",\"\",ZOZNAM!J715),\"\")","v":"2020-09-08"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!K715=\"\",\"\",ZOZNAM!K715),\"\")","v":"https://www.tstattraining.eu/training/intro-spatial-econometrics-stata-ol/"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!L715=\"\",\"\",ZOZNAM!L715),\"\")","v":"Many phenomena in the economics, medical and social fields, such as unemployment, crime rates or infectious diseases, tend to be spatially correlated. Spatial Econometrics, in contrast to standard econometric modelling, exploits cross-sectional and panel data collected with reference to location measured as points in space for dealing with spatial dependence and spatial heterogeneity. Our “Introduction to Spatial Econometrics using Stata” course offers researchers a unique opportunity to acquire the necessary theoretical and empirical toolset for the analysis of spatial longitudinal data, using the more recently developed spatial econometrics methodologies. The course begins by providing an overview of the more standard concepts in spatial econometrics and illustrating how one should prepare the data set for spatial analysis, before moving on to review the latest methodologies and commands (both official and user written commands) available in Stata. The course concludes by focusing on a number of more recent developments in spatial econometrics allowing simultaneously for serial dynamics, spatial spillovers and common factors. During the course, attention will also be given to the interpretation and presentation of results obtained.\n\nIn common with TStat’s course philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. At the end, it is expected that participants are able identifying and evaluate which specific econometric method is more appropriate for the analysis in hand.\n"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!M715=\"\",\"\",ZOZNAM!M715),\"\")","v":"Apply by 8 September 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nThe number of participants is limited to 8. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled.\n\nCourse fees cover: teaching materials (handouts, Stata do-files, program templates and datasets to use during the course) and a temporary course licence of Stata valid for 30 days from the beginning of the course.\n"},{"$f":"IF($A724<>\"\",IF(ZOZNAM!N715=\"\",\"\",ZOZNAM!N715),\"\")","v":""},{"$f":"IF($A724<>\"\",IF(ZOZNAM!O715=\"\",\"\",ZOZNAM!O715),\"\")","v":""},{"$f":"IF($A724<>\"\",IF(ZOZNAM!P715=\"\",\"\",ZOZNAM!P715),\"\")","v":""},{"$f":"IF($A724<>\"\",IF(ZOZNAM!Q715=\"\",\"\",ZOZNAM!Q715),\"\")","v":""},{"$f":"IF($A724<>\"\",IF(ZOZNAM!R715=\"\",\"\",ZOZNAM!R715),\"\")","v":""},{"$f":"IF($A724<>\"\",IF(ZOZNAM!S715=\"\",\"\",ZOZNAM!S715),\"\")","v":""},{"$f":"IF($A724<>\"\",IF(ZOZNAM!T715=\"\",\"\",ZOZNAM!T715),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C716)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C716)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C716)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C716)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C716)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C716)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L716)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L716)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L716)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L716)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L716)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L716)),FALSE))),ZOZNAM!G716>=$C$9),ZOZNAM!A716,\"\")","v":"UC001"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!B716=\"\",\"\",ZOZNAM!B716),\"\")","v":"UNESCO"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!C716=\"\",\"\",ZOZNAM!C716),\"\")","v":"Foundations of disability-inclusive education sector planning"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!D716=\"\",\"\",ZOZNAM!D716),\"\")","v":"Online"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!E716=\"\",\"\",ZOZNAM!E716),\"\")","v":44},{"$f":"IF($A725<>\"\",IF(ZOZNAM!F716=\"\",\"\",ZOZNAM!F716),\"\")","v":61},{"$f":"IF($A725<>\"\",IF(ZOZNAM!G716=\"\",\"\",ZOZNAM!G716),\"\")","v":"2020-09-28"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!H716=\"\",\"\",ZOZNAM!H716),\"\")","v":"2020-11-27"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!I716=\"\",\"\",ZOZNAM!I716),\"\")","v":"550 USD"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!J716=\"\",\"\",ZOZNAM!J716),\"\")","v":"2020-07-10"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!K716=\"\",\"\",ZOZNAM!K716),\"\")","v":"http://www.iiep.unesco.org/sites/default/files/information_note_inclusive_online_0.pdf"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!L716=\"\",\"\",ZOZNAM!L716),\"\")","v":"Teams of professionals (maximum 4-6 members) from different departments within Ministries\nof Education (planning, special needs/disability-inclusive education, data and statistics, teacher training, curriculum,\nand other relevant departments/units), as well as from development partner organizations."},{"$f":"IF($A725<>\"\",IF(ZOZNAM!M716=\"\",\"\",ZOZNAM!M716),\"\")","v":"16.-27.9. 2020 prrípravná fáza"},{"$f":"IF($A725<>\"\",IF(ZOZNAM!N716=\"\",\"\",ZOZNAM!N716),\"\")","v":""},{"$f":"IF($A725<>\"\",IF(ZOZNAM!O716=\"\",\"\",ZOZNAM!O716),\"\")","v":""},{"$f":"IF($A725<>\"\",IF(ZOZNAM!P716=\"\",\"\",ZOZNAM!P716),\"\")","v":""},{"$f":"IF($A725<>\"\",IF(ZOZNAM!Q716=\"\",\"\",ZOZNAM!Q716),\"\")","v":""},{"$f":"IF($A725<>\"\",IF(ZOZNAM!R716=\"\",\"\",ZOZNAM!R716),\"\")","v":""},{"$f":"IF($A725<>\"\",IF(ZOZNAM!S716=\"\",\"\",ZOZNAM!S716),\"\")","v":""},{"$f":"IF($A725<>\"\",IF(ZOZNAM!T716=\"\",\"\",ZOZNAM!T716),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C718)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C718)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C718)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C718)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C718)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C718)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L718)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L718)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L718)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L718)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L718)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L718)),FALSE))),ZOZNAM!G718>=$C$9),ZOZNAM!A718,\"\")","v":"AC233"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!B718=\"\",\"\",ZOZNAM!B718),\"\")","v":"ACREA CR"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!C718=\"\",\"\",ZOZNAM!C718),\"\")","v":"Příprava dat pro analýzu"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!D718=\"\",\"\",ZOZNAM!D718),\"\")","v":"Praha, Česko"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!E718=\"\",\"\",ZOZNAM!E718),\"\")","v":1},{"$f":"IF($A727<>\"\",IF(ZOZNAM!F718=\"\",\"\",ZOZNAM!F718),\"\")","v":1},{"$f":"IF($A727<>\"\",IF(ZOZNAM!G718=\"\",\"\",ZOZNAM!G718),\"\")","v":"2022-03-30"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!H718=\"\",\"\",ZOZNAM!H718),\"\")","v":"2022-03-30"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!I718=\"\",\"\",ZOZNAM!I718),\"\")","v":"200 EUR + 21% DPH"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!J718=\"\",\"\",ZOZNAM!J718),\"\")","v":""},{"$f":"IF($A727<>\"\",IF(ZOZNAM!K718=\"\",\"\",ZOZNAM!K718),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/priprava-dat-pro-analyzu/"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!L718=\"\",\"\",ZOZNAM!L718),\"\")","v":"Příprava dat je základním předpokladem kvalitní analýzy. V dnešní době se setkáváme s velkým množstvím datových zdrojů, nicméně tato data bývají často ve špatné kvalitě nebo v nevhodné podobě pro následné zpracování. Analytik si proto musí data nejprve připravit, což v praxi obvykle zabere více času než samotná analýza. V tomto kurzu se zaměříme na obecné postupy a základní problémy přípravy dat od načítání dat z různých formátů a spojování datových souborů přes čištění dat a přípravu datové matice až po transformace proměnných a datové operace jako agregace či restrukturalizace.\nPROGRAM KURZU:\n-datová matice a metadata\n-čištění dat\n-tvorba a transformace proměnných\n-spojování souborů\n-agregace\n-restrukturalizace"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!M718=\"\",\"\",ZOZNAM!M718),\"\")","v":""},{"$f":"IF($A727<>\"\",IF(ZOZNAM!N718=\"\",\"\",ZOZNAM!N718),\"\")","v":"nie"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!O718=\"\",\"\",ZOZNAM!O718),\"\")","v":"nie"},{"$f":"IF($A727<>\"\",IF(ZOZNAM!P718=\"\",\"\",ZOZNAM!P718),\"\")","v":1.9},{"$f":"IF($A727<>\"\",IF(ZOZNAM!Q718=\"\",\"\",ZOZNAM!Q718),\"\")","v":""},{"$f":"IF($A727<>\"\",IF(ZOZNAM!R718=\"\",\"\",ZOZNAM!R718),\"\")","v":""},{"$f":"IF($A727<>\"\",IF(ZOZNAM!S718=\"\",\"\",ZOZNAM!S718),\"\")","v":""},{"$f":"IF($A727<>\"\",IF(ZOZNAM!T718=\"\",\"\",ZOZNAM!T718),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C719)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C719)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C719)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C719)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C719)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C719)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L719)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L719)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L719)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L719)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L719)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L719)),FALSE))),ZOZNAM!G719>=$C$9),ZOZNAM!A719,\"\")","v":"EU203"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!B719=\"\",\"\",ZOZNAM!B719),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!C719=\"\",\"\",ZOZNAM!C719),\"\")","v":"\nEfficient Management of Public Sector Budgets and Services – What to Do and How to Do It"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!D719=\"\",\"\",ZOZNAM!D719),\"\")","v":"Maastricht, Holandsko"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!E719=\"\",\"\",ZOZNAM!E719),\"\")","v":2},{"$f":"IF($A728<>\"\",IF(ZOZNAM!F719=\"\",\"\",ZOZNAM!F719),\"\")","v":2},{"$f":"IF($A728<>\"\",IF(ZOZNAM!G719=\"\",\"\",ZOZNAM!G719),\"\")","v":"2020-09-30"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!H719=\"\",\"\",ZOZNAM!H719),\"\")","v":"2020-10-01"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!I719=\"\",\"\",ZOZNAM!I719),\"\")","v":"1 100 EUR"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!J719=\"\",\"\",ZOZNAM!J719),\"\")","v":"2020-09-15"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!K719=\"\",\"\",ZOZNAM!K719),\"\")","v":"https://www.eipa.eu/product/public-sector-budgets/"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!L719=\"\",\"\",ZOZNAM!L719),\"\")","v":"By the end of the workshop you will:\n\nBetter understand the role of budgeting in the public sector and why it matters;\nBe able to deal more effectively with the current challenges for budgeting and service planning for finance staff and service managers;\nAchieve better co-operation between finance staff and service managers to improve public service planning and delivery;\nBe able to identify/manage the most commonly arising financial and operational risks in budget preparation and planning for service delivery;\nBe able to identify/manage the commonly arising financial and operational risks in the budget execution of and service delivery;\nBetter understand how auditors can help public sector bodies to improve their management of finances/services."},{"$f":"IF($A728<>\"\",IF(ZOZNAM!M719=\"\",\"\",ZOZNAM!M719),\"\")","v":"The fee includes documentation and refreshments, two lunches and a reception. Accommodation and travel costs are at the expense of the participants or their administration."},{"$f":"IF($A728<>\"\",IF(ZOZNAM!N719=\"\",\"\",ZOZNAM!N719),\"\")","v":"nie"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!O719=\"\",\"\",ZOZNAM!O719),\"\")","v":"nie"},{"$f":"IF($A728<>\"\",IF(ZOZNAM!P719=\"\",\"\",ZOZNAM!P719),\"\")","v":""},{"$f":"IF($A728<>\"\",IF(ZOZNAM!Q719=\"\",\"\",ZOZNAM!Q719),\"\")","v":""},{"$f":"IF($A728<>\"\",IF(ZOZNAM!R719=\"\",\"\",ZOZNAM!R719),\"\")","v":""},{"$f":"IF($A728<>\"\",IF(ZOZNAM!S719=\"\",\"\",ZOZNAM!S719),\"\")","v":""},{"$f":"IF($A728<>\"\",IF(ZOZNAM!T719=\"\",\"\",ZOZNAM!T719),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C720)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C720)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C720)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C720)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C720)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C720)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L720)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L720)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L720)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L720)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L720)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L720)),FALSE))),ZOZNAM!G720>=$C$9),ZOZNAM!A720,\"\")","v":"IP014"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!B720=\"\",\"\",ZOZNAM!B720),\"\")","v":"ictPRO"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!C720=\"\",\"\",ZOZNAM!C720),\"\")","v":"Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!D720=\"\",\"\",ZOZNAM!D720),\"\")","v":"Brno, Česko"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!E720=\"\",\"\",ZOZNAM!E720),\"\")","v":3},{"$f":"IF($A729<>\"\",IF(ZOZNAM!F720=\"\",\"\",ZOZNAM!F720),\"\")","v":3},{"$f":"IF($A729<>\"\",IF(ZOZNAM!G720=\"\",\"\",ZOZNAM!G720),\"\")","v":"2020-09-30"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!H720=\"\",\"\",ZOZNAM!H720),\"\")","v":"2020-10-02"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!I720=\"\",\"\",ZOZNAM!I720),\"\")","v":"10 900 Kč"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!J720=\"\",\"\",ZOZNAM!J720),\"\")","v":""},{"$f":"IF($A729<>\"\",IF(ZOZNAM!K720=\"\",\"\",ZOZNAM!K720),\"\")","v":"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!L720=\"\",\"\",ZOZNAM!L720),\"\")","v":"Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL."},{"$f":"IF($A729<>\"\",IF(ZOZNAM!M720=\"\",\"\",ZOZNAM!M720),\"\")","v":""},{"$f":"IF($A729<>\"\",IF(ZOZNAM!N720=\"\",\"\",ZOZNAM!N720),\"\")","v":"nie"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!O720=\"\",\"\",ZOZNAM!O720),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A729<>\"\",IF(ZOZNAM!P720=\"\",\"\",ZOZNAM!P720),\"\")","v":""},{"$f":"IF($A729<>\"\",IF(ZOZNAM!Q720=\"\",\"\",ZOZNAM!Q720),\"\")","v":""},{"$f":"IF($A729<>\"\",IF(ZOZNAM!R720=\"\",\"\",ZOZNAM!R720),\"\")","v":""},{"$f":"IF($A729<>\"\",IF(ZOZNAM!S720=\"\",\"\",ZOZNAM!S720),\"\")","v":""},{"$f":"IF($A729<>\"\",IF(ZOZNAM!T720=\"\",\"\",ZOZNAM!T720),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C721)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C721)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C721)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C721)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C721)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C721)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L721)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L721)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L721)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L721)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L721)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L721)),FALSE))),ZOZNAM!G721>=$C$9),ZOZNAM!A721,\"\")","v":"OU009"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!B721=\"\",\"\",ZOZNAM!B721),\"\")","v":"University of Oxford"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!C721=\"\",\"\",ZOZNAM!C721),\"\")","v":"Social Policy and Welfare States in the 21st Century (Online)"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!D721=\"\",\"\",ZOZNAM!D721),\"\")","v":"Online"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!E721=\"\",\"\",ZOZNAM!E721),\"\")","v":52},{"$f":"IF($A730<>\"\",IF(ZOZNAM!F721=\"\",\"\",ZOZNAM!F721),\"\")","v":73},{"$f":"IF($A730<>\"\",IF(ZOZNAM!G721=\"\",\"\",ZOZNAM!G721),\"\")","v":"2020-09-30"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!H721=\"\",\"\",ZOZNAM!H721),\"\")","v":"2020-12-11"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!I721=\"\",\"\",ZOZNAM!I721),\"\")","v":"300 GBP"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!J721=\"\",\"\",ZOZNAM!J721),\"\")","v":""},{"$f":"IF($A730<>\"\",IF(ZOZNAM!K721=\"\",\"\",ZOZNAM!K721),\"\")","v":"https://www.conted.ox.ac.uk/courses/social-policy-and-welfare-states-in-the-21st-century-online?code=O20P518SOV"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!L721=\"\",\"\",ZOZNAM!L721),\"\")","v":"This course discusses the origins, development and functions of welfares states in high-income countries. Taking an international comparative approach, the course discusses theories, empirical research and policy challenges in a range of different countries. What is ‘the welfare state' and what purpose does it serve? How can we measure and explain welfare state change? What are the key similarities and differences between welfare states in different countries? How are welfare states affected by changing family structures, labour markets, population ageing, and migration? The course will provide a comprehensive discussion of these and other questions thus enabling students to critically engage with public and scholarly debates in this field."},{"$f":"IF($A730<>\"\",IF(ZOZNAM!M721=\"\",\"\",ZOZNAM!M721),\"\")","v":"10 hodín týždenne, spolu 100 hodín"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!N721=\"\",\"\",ZOZNAM!N721),\"\")","v":""},{"$f":"IF($A730<>\"\",IF(ZOZNAM!O721=\"\",\"\",ZOZNAM!O721),\"\")","v":"áno"},{"$f":"IF($A730<>\"\",IF(ZOZNAM!P721=\"\",\"\",ZOZNAM!P721),\"\")","v":""},{"$f":"IF($A730<>\"\",IF(ZOZNAM!Q721=\"\",\"\",ZOZNAM!Q721),\"\")","v":""},{"$f":"IF($A730<>\"\",IF(ZOZNAM!R721=\"\",\"\",ZOZNAM!R721),\"\")","v":""},{"$f":"IF($A730<>\"\",IF(ZOZNAM!S721=\"\",\"\",ZOZNAM!S721),\"\")","v":""},{"$f":"IF($A730<>\"\",IF(ZOZNAM!T721=\"\",\"\",ZOZNAM!T721),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C722)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C722)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C722)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C722)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C722)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C722)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L722)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L722)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L722)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L722)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L722)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L722)),FALSE))),ZOZNAM!G722>=$C$9),ZOZNAM!A722,\"\")","v":"BU146"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!B722=\"\",\"\",ZOZNAM!B722),\"\")","v":"Budapest School for Central Bank Studies "},{"$f":"IF($A731<>\"\",IF(ZOZNAM!C722=\"\",\"\",ZOZNAM!C722),\"\")","v":"Measuring output gaps and star variables"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!D722=\"\",\"\",ZOZNAM!D722),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!E722=\"\",\"\",ZOZNAM!E722),\"\")","v":5},{"$f":"IF($A731<>\"\",IF(ZOZNAM!F722=\"\",\"\",ZOZNAM!F722),\"\")","v":5},{"$f":"IF($A731<>\"\",IF(ZOZNAM!G722=\"\",\"\",ZOZNAM!G722),\"\")","v":"2020-10-05"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!H722=\"\",\"\",ZOZNAM!H722),\"\")","v":"2020-10-09"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!I722=\"\",\"\",ZOZNAM!I722),\"\")","v":"1400 EUR"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!J722=\"\",\"\",ZOZNAM!J722),\"\")","v":"2020-09-14"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!K722=\"\",\"\",ZOZNAM!K722),\"\")","v":"https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!L722=\"\",\"\",ZOZNAM!L722),\"\")","v":"Topics covered: Methods  to  extract  trends  and  cycles\nPermanent  and  transitory  decompositions.\nDating  turning  points\nCyclical vs  structural  changes\nFinancial and  real  cycles."},{"$f":"IF($A731<>\"\",IF(ZOZNAM!M722=\"\",\"\",ZOZNAM!M722),\"\")","v":""},{"$f":"IF($A731<>\"\",IF(ZOZNAM!N722=\"\",\"\",ZOZNAM!N722),\"\")","v":"nie"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!O722=\"\",\"\",ZOZNAM!O722),\"\")","v":"nie"},{"$f":"IF($A731<>\"\",IF(ZOZNAM!P722=\"\",\"\",ZOZNAM!P722),\"\")","v":""},{"$f":"IF($A731<>\"\",IF(ZOZNAM!Q722=\"\",\"\",ZOZNAM!Q722),\"\")","v":""},{"$f":"IF($A731<>\"\",IF(ZOZNAM!R722=\"\",\"\",ZOZNAM!R722),\"\")","v":""},{"$f":"IF($A731<>\"\",IF(ZOZNAM!S722=\"\",\"\",ZOZNAM!S722),\"\")","v":""},{"$f":"IF($A731<>\"\",IF(ZOZNAM!T722=\"\",\"\",ZOZNAM!T722),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C723)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C723)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C723)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C723)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C723)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C723)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L723)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L723)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L723)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L723)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L723)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L723)),FALSE))),ZOZNAM!G723>=$C$9),ZOZNAM!A723,\"\")","v":"IP010"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!B723=\"\",\"\",ZOZNAM!B723),\"\")","v":"ictPRO"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!C723=\"\",\"\",ZOZNAM!C723),\"\")","v":"Python - základy programování"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!D723=\"\",\"\",ZOZNAM!D723),\"\")","v":"Brno, Česko"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!E723=\"\",\"\",ZOZNAM!E723),\"\")","v":3},{"$f":"IF($A732<>\"\",IF(ZOZNAM!F723=\"\",\"\",ZOZNAM!F723),\"\")","v":3},{"$f":"IF($A732<>\"\",IF(ZOZNAM!G723=\"\",\"\",ZOZNAM!G723),\"\")","v":"2020-10-05"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!H723=\"\",\"\",ZOZNAM!H723),\"\")","v":"2020-10-07"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!I723=\"\",\"\",ZOZNAM!I723),\"\")","v":"10 900 Kč"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!J723=\"\",\"\",ZOZNAM!J723),\"\")","v":""},{"$f":"IF($A732<>\"\",IF(ZOZNAM!K723=\"\",\"\",ZOZNAM!K723),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!L723=\"\",\"\",ZOZNAM!L723),\"\")","v":"Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata."},{"$f":"IF($A732<>\"\",IF(ZOZNAM!M723=\"\",\"\",ZOZNAM!M723),\"\")","v":"Je možné sa pripojiť aj virtuálne"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!N723=\"\",\"\",ZOZNAM!N723),\"\")","v":"nie"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!O723=\"\",\"\",ZOZNAM!O723),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A732<>\"\",IF(ZOZNAM!P723=\"\",\"\",ZOZNAM!P723),\"\")","v":""},{"$f":"IF($A732<>\"\",IF(ZOZNAM!Q723=\"\",\"\",ZOZNAM!Q723),\"\")","v":""},{"$f":"IF($A732<>\"\",IF(ZOZNAM!R723=\"\",\"\",ZOZNAM!R723),\"\")","v":""},{"$f":"IF($A732<>\"\",IF(ZOZNAM!S723=\"\",\"\",ZOZNAM!S723),\"\")","v":""},{"$f":"IF($A732<>\"\",IF(ZOZNAM!T723=\"\",\"\",ZOZNAM!T723),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C728)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C728)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C728)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C728)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C728)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C728)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L728)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L728)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L728)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L728)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L728)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L728)),FALSE))),ZOZNAM!G728>=$C$9),ZOZNAM!A728,\"\")","v":"IP017"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!B728=\"\",\"\",ZOZNAM!B728),\"\")","v":"ictPRO"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!C728=\"\",\"\",ZOZNAM!C728),\"\")","v":"Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!D728=\"\",\"\",ZOZNAM!D728),\"\")","v":"Praha, Česko"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!E728=\"\",\"\",ZOZNAM!E728),\"\")","v":3},{"$f":"IF($A737<>\"\",IF(ZOZNAM!F728=\"\",\"\",ZOZNAM!F728),\"\")","v":3},{"$f":"IF($A737<>\"\",IF(ZOZNAM!G728=\"\",\"\",ZOZNAM!G728),\"\")","v":"2020-10-19"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!H728=\"\",\"\",ZOZNAM!H728),\"\")","v":"2020-10-21"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!I728=\"\",\"\",ZOZNAM!I728),\"\")","v":"10 900 Kč"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!J728=\"\",\"\",ZOZNAM!J728),\"\")","v":""},{"$f":"IF($A737<>\"\",IF(ZOZNAM!K728=\"\",\"\",ZOZNAM!K728),\"\")","v":"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!L728=\"\",\"\",ZOZNAM!L728),\"\")","v":"Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL."},{"$f":"IF($A737<>\"\",IF(ZOZNAM!M728=\"\",\"\",ZOZNAM!M728),\"\")","v":""},{"$f":"IF($A737<>\"\",IF(ZOZNAM!N728=\"\",\"\",ZOZNAM!N728),\"\")","v":"nie"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!O728=\"\",\"\",ZOZNAM!O728),\"\")","v":"len v prípade záujmu"},{"$f":"IF($A737<>\"\",IF(ZOZNAM!P728=\"\",\"\",ZOZNAM!P728),\"\")","v":""},{"$f":"IF($A737<>\"\",IF(ZOZNAM!Q728=\"\",\"\",ZOZNAM!Q728),\"\")","v":""},{"$f":"IF($A737<>\"\",IF(ZOZNAM!R728=\"\",\"\",ZOZNAM!R728),\"\")","v":""},{"$f":"IF($A737<>\"\",IF(ZOZNAM!S728=\"\",\"\",ZOZNAM!S728),\"\")","v":""},{"$f":"IF($A737<>\"\",IF(ZOZNAM!T728=\"\",\"\",ZOZNAM!T728),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C729)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C729)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C729)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C729)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C729)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C729)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L729)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L729)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L729)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L729)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L729)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L729)),FALSE))),ZOZNAM!G729>=$C$9),ZOZNAM!A729,\"\")","v":"TS009"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!B729=\"\",\"\",ZOZNAM!B729),\"\")","v":"Tstat"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!C729=\"\",\"\",ZOZNAM!C729),\"\")","v":"ANALYSING MICRO DATA IN STATA"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!D729=\"\",\"\",ZOZNAM!D729),\"\")","v":"Frankfurt nad Mohanom, Nemecko"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!E729=\"\",\"\",ZOZNAM!E729),\"\")","v":4},{"$f":"IF($A738<>\"\",IF(ZOZNAM!F729=\"\",\"\",ZOZNAM!F729),\"\")","v":4},{"$f":"IF($A738<>\"\",IF(ZOZNAM!G729=\"\",\"\",ZOZNAM!G729),\"\")","v":"2020-10-20"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!H729=\"\",\"\",ZOZNAM!H729),\"\")","v":"2020-10-23"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!I729=\"\",\"\",ZOZNAM!I729),\"\")","v":"2815 EUR, 200 EUR depozit"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!J729=\"\",\"\",ZOZNAM!J729),\"\")","v":"2020-10-01"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!K729=\"\",\"\",ZOZNAM!K729),\"\")","v":"https://www.tstattraining.eu/training/analysing-micro-data-stata/"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!L729=\"\",\"\",ZOZNAM!L729),\"\")","v":"TStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: linear models, count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding sessions focus on: i) the Control Function approach for the estimation of non-linear models with endogenous continuous variables; and ii) the latest Stata commands for the estimation of Extended Regression Models (ERM), which implement Maximum Likelihood estimators capable of simultaneously treating issues of Sample Selection and the presence of both endogenous regressors and treatment variables."},{"$f":"IF($A738<>\"\",IF(ZOZNAM!M729=\"\",\"\",ZOZNAM!M729),\"\")","v":"Kurz sa skladá z 2 modulov, modul A - 3 dni, modul B - 1 deň, spolu 4 dni. Je možné absolvovať aj iba jeden z modulov. Poplatok uvádzame za oba.\nPotrebné priniesť si laptop.VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. (DIČ)"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!N729=\"\",\"\",ZOZNAM!N729),\"\")","v":"nie"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!O729=\"\",\"\",ZOZNAM!O729),\"\")","v":"nie"},{"$f":"IF($A738<>\"\",IF(ZOZNAM!P729=\"\",\"\",ZOZNAM!P729),\"\")","v":""},{"$f":"IF($A738<>\"\",IF(ZOZNAM!Q729=\"\",\"\",ZOZNAM!Q729),\"\")","v":""},{"$f":"IF($A738<>\"\",IF(ZOZNAM!R729=\"\",\"\",ZOZNAM!R729),\"\")","v":""},{"$f":"IF($A738<>\"\",IF(ZOZNAM!S729=\"\",\"\",ZOZNAM!S729),\"\")","v":""},{"$f":"IF($A738<>\"\",IF(ZOZNAM!T729=\"\",\"\",ZOZNAM!T729),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C730)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C730)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C730)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C730)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C730)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C730)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L730)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L730)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L730)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L730)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L730)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L730)),FALSE))),ZOZNAM!G730>=$C$9),ZOZNAM!A730,\"\")","v":"EU201"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!B730=\"\",\"\",ZOZNAM!B730),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!C730=\"\",\"\",ZOZNAM!C730),\"\")","v":"Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!D730=\"\",\"\",ZOZNAM!D730),\"\")","v":"Online"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!E730=\"\",\"\",ZOZNAM!E730),\"\")","v":3},{"$f":"IF($A739<>\"\",IF(ZOZNAM!F730=\"\",\"\",ZOZNAM!F730),\"\")","v":3},{"$f":"IF($A739<>\"\",IF(ZOZNAM!G730=\"\",\"\",ZOZNAM!G730),\"\")","v":"2020-10-21"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!H730=\"\",\"\",ZOZNAM!H730),\"\")","v":"2020-10-27"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!I730=\"\",\"\",ZOZNAM!I730),\"\")","v":"900 EUR"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!J730=\"\",\"\",ZOZNAM!J730),\"\")","v":"2020-10-06"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!K730=\"\",\"\",ZOZNAM!K730),\"\")","v":"https://www.eipa.eu/product/eu-structural-cohesion-funds-3-days/"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!L730=\"\",\"\",ZOZNAM!L730),\"\")","v":"Member States are now conducting evaluations of their EU Structural and Cohesion Funds projects and programmes. Have they collected the best monitoring data and do they know how to measure impacts? Which evaluation method should be used – theory-based or counter-factual? As new programmes for 2021-2027 are now being prepared and negotiated, are we clear about what the draft New Regulations say about monitoring and evaluation requirements? This 3-day seminar has two stages:  Stage 1 (Day 1) deals with monitoring tasks, indicators and the Performance Framework. A Czech Ministry official will assess the practical challenges of 2014-2020 and the implications of the new requirements for 2021-2027. Stage 2 (Days 2 & 3) examines how to conduct “evaluations during the programming period”. Leading evaluation consultant-economists will focus on the two recommended evaluation methods – theory-based and counterfactual evaluations – and the choices for project / programme evaluations on the ground. We will also describe how to complete an ex post cost-benefit analysis (ex post CBA) for infrastructure and other large projects."},{"$f":"IF($A739<>\"\",IF(ZOZNAM!M730=\"\",\"\",ZOZNAM!M730),\"\")","v":""},{"$f":"IF($A739<>\"\",IF(ZOZNAM!N730=\"\",\"\",ZOZNAM!N730),\"\")","v":""},{"$f":"IF($A739<>\"\",IF(ZOZNAM!O730=\"\",\"\",ZOZNAM!O730),\"\")","v":"nie"},{"$f":"IF($A739<>\"\",IF(ZOZNAM!P730=\"\",\"\",ZOZNAM!P730),\"\")","v":""},{"$f":"IF($A739<>\"\",IF(ZOZNAM!Q730=\"\",\"\",ZOZNAM!Q730),\"\")","v":""},{"$f":"IF($A739<>\"\",IF(ZOZNAM!R730=\"\",\"\",ZOZNAM!R730),\"\")","v":""},{"$f":"IF($A739<>\"\",IF(ZOZNAM!S730=\"\",\"\",ZOZNAM!S730),\"\")","v":""},{"$f":"IF($A739<>\"\",IF(ZOZNAM!T730=\"\",\"\",ZOZNAM!T730),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C731)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C731)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C731)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C731)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C731)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C731)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L731)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L731)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L731)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L731)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L731)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L731)),FALSE))),ZOZNAM!G731>=$C$9),ZOZNAM!A731,\"\")","v":"IC012"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!B731=\"\",\"\",ZOZNAM!B731),\"\")","v":"International Training Centre"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!C731=\"\",\"\",ZOZNAM!C731),\"\")","v":"E-LEARNING COURSE ON MEASURING AND ANALYZING LABOUR MIGRATION"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!D731=\"\",\"\",ZOZNAM!D731),\"\")","v":"Online"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!E731=\"\",\"\",ZOZNAM!E731),\"\")","v":29},{"$f":"IF($A740<>\"\",IF(ZOZNAM!F731=\"\",\"\",ZOZNAM!F731),\"\")","v":40},{"$f":"IF($A740<>\"\",IF(ZOZNAM!G731=\"\",\"\",ZOZNAM!G731),\"\")","v":"2020-10-26"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!H731=\"\",\"\",ZOZNAM!H731),\"\")","v":"2020-12-04"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!I731=\"\",\"\",ZOZNAM!I731),\"\")","v":"960 EUR"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!J731=\"\",\"\",ZOZNAM!J731),\"\")","v":"2020-09-21"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!K731=\"\",\"\",ZOZNAM!K731),\"\")","v":"https://www.itcilo.org/courses/e-learning-course-measuring-and-analyzing-labour-migration"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!L731=\"\",\"\",ZOZNAM!L731),\"\")","v":"Using a step-by-step approach, the course aims to equip national and international stakeholders with the necessary capacities to better measure and analyse labour migration and produce timely, high-quality, updated migration statistics based on internationally agreed standards and guidelines for evidence-based policy-making."},{"$f":"IF($A740<>\"\",IF(ZOZNAM!M731=\"\",\"\",ZOZNAM!M731),\"\")","v":""},{"$f":"IF($A740<>\"\",IF(ZOZNAM!N731=\"\",\"\",ZOZNAM!N731),\"\")","v":"nie"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!O731=\"\",\"\",ZOZNAM!O731),\"\")","v":"nie"},{"$f":"IF($A740<>\"\",IF(ZOZNAM!P731=\"\",\"\",ZOZNAM!P731),\"\")","v":""},{"$f":"IF($A740<>\"\",IF(ZOZNAM!Q731=\"\",\"\",ZOZNAM!Q731),\"\")","v":""},{"$f":"IF($A740<>\"\",IF(ZOZNAM!R731=\"\",\"\",ZOZNAM!R731),\"\")","v":""},{"$f":"IF($A740<>\"\",IF(ZOZNAM!S731=\"\",\"\",ZOZNAM!S731),\"\")","v":""},{"$f":"IF($A740<>\"\",IF(ZOZNAM!T731=\"\",\"\",ZOZNAM!T731),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C732)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C732)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C732)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C732)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C732)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C732)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L732)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L732)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L732)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L732)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L732)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L732)),FALSE))),ZOZNAM!G732>=$C$9),ZOZNAM!A732,\"\")","v":"NS004"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!B732=\"\",\"\",ZOZNAM!B732),\"\")","v":"NATO School"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!C732=\"\",\"\",ZOZNAM!C732),\"\")","v":"NATO Alternative Analysis Course"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!D732=\"\",\"\",ZOZNAM!D732),\"\")","v":"Shrivenham, Veľká Británia"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!E732=\"\",\"\",ZOZNAM!E732),\"\")","v":5},{"$f":"IF($A741<>\"\",IF(ZOZNAM!F732=\"\",\"\",ZOZNAM!F732),\"\")","v":5},{"$f":"IF($A741<>\"\",IF(ZOZNAM!G732=\"\",\"\",ZOZNAM!G732),\"\")","v":"2020-10-26"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!H732=\"\",\"\",ZOZNAM!H732),\"\")","v":"2020-10-30"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!I732=\"\",\"\",ZOZNAM!I732),\"\")","v":"0 EUR"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!J732=\"\",\"\",ZOZNAM!J732),\"\")","v":""},{"$f":"IF($A741<>\"\",IF(ZOZNAM!K732=\"\",\"\",ZOZNAM!K732),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=128&TabId=155&keyword=&code=&startdate=&enddate=&exactdatematch=False&durationfrom=1&durationto=3&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!L732=\"\",\"\",ZOZNAM!L732),\"\")","v":"Understand NATO Alternative Analysis Capability and Theory.:  Given references, students will be able to explain the overall NATO Alternative Analysis (AltA) capability and critical thinking theories related to AltA application in accordance with the NATO Alternative Analysis Handbook. Explain Roles and Interactions of ALTA Facilitators.:  Given references, students will be able to describe the roles and interactions of AltA Facilitators, AltA focal points, problem owners, and the chain of command in accordance with the NATO Alternative Analysis Handbook. Apply ALTA Problem-Solving Techniques.:  Given scenarios, students will apply AltA techniques in support of problem-solving and decision-making across all NATO staff functions in accordance with the NATO Alternative Analysis Handbook. Comprehend the Four Phases of ALTA Process:  Given scenarios, students will apply the four phases of the AltA process in accordance with the NATO Alternative Analysis Handbook. "},{"$f":"IF($A741<>\"\",IF(ZOZNAM!M732=\"\",\"\",ZOZNAM!M732),\"\")","v":"NATO Unclassified. Participants : Military non-commissioned officers and officers (OR-5 through OF-5) or civilian equivalent who are assigned, or selected for assignment, to a position in a NATO/Partner Headquarters or Agency, a NATO/Partner subordinate military headquarters, unit or agency of any NATO country which fulfils responsibilities in support of NATO. Priority is given to NATO Command Structure Peacetime Establishment personnel."},{"$f":"IF($A741<>\"\",IF(ZOZNAM!N732=\"\",\"\",ZOZNAM!N732),\"\")","v":"nie"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!O732=\"\",\"\",ZOZNAM!O732),\"\")","v":"nie"},{"$f":"IF($A741<>\"\",IF(ZOZNAM!P732=\"\",\"\",ZOZNAM!P732),\"\")","v":""},{"$f":"IF($A741<>\"\",IF(ZOZNAM!Q732=\"\",\"\",ZOZNAM!Q732),\"\")","v":""},{"$f":"IF($A741<>\"\",IF(ZOZNAM!R732=\"\",\"\",ZOZNAM!R732),\"\")","v":""},{"$f":"IF($A741<>\"\",IF(ZOZNAM!S732=\"\",\"\",ZOZNAM!S732),\"\")","v":""},{"$f":"IF($A741<>\"\",IF(ZOZNAM!T732=\"\",\"\",ZOZNAM!T732),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C733)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C733)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C733)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C733)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C733)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C733)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L733)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L733)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L733)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L733)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L733)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L733)),FALSE))),ZOZNAM!G733>=$C$9),ZOZNAM!A733,\"\")","v":"AC232"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!B733=\"\",\"\",ZOZNAM!B733),\"\")","v":"ACREA CR"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!C733=\"\",\"\",ZOZNAM!C733),\"\")","v":"Diskriminační analýza"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!D733=\"\",\"\",ZOZNAM!D733),\"\")","v":"Praha, Česko"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!E733=\"\",\"\",ZOZNAM!E733),\"\")","v":1},{"$f":"IF($A742<>\"\",IF(ZOZNAM!F733=\"\",\"\",ZOZNAM!F733),\"\")","v":1},{"$f":"IF($A742<>\"\",IF(ZOZNAM!G733=\"\",\"\",ZOZNAM!G733),\"\")","v":"2020-11-02"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!H733=\"\",\"\",ZOZNAM!H733),\"\")","v":"2020-11-02"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!I733=\"\",\"\",ZOZNAM!I733),\"\")","v":"200 EUR + 21% DPH"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!J733=\"\",\"\",ZOZNAM!J733),\"\")","v":""},{"$f":"IF($A742<>\"\",IF(ZOZNAM!K733=\"\",\"\",ZOZNAM!K733),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/diskriminacni-analyza/"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!L733=\"\",\"\",ZOZNAM!L733),\"\")","v":"Diskriminační analýza je technika klasifikace případů do dvou nebo více skupin pomocí souboru číselných proměnných a z nich odvozených syntetických kritérií. Model poskytuje výstupy pro klasifikaci/rozhodování mezi třídami nominální proměnné, studium závislostí mezi proměnnými a pro komparační analýzu skupin.\nPROGRAM KURZU:\n-model diskriminační analýzy pro dvě skupiny\n-tři role modelu: asociační, komparační a predikční (rozhodovací)\n-vstupy modelu\n-interpretace parametrů\n-rozhodování\n-závislosti a komparace\n-rozšíření modelu na více skupin"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!M733=\"\",\"\",ZOZNAM!M733),\"\")","v":""},{"$f":"IF($A742<>\"\",IF(ZOZNAM!N733=\"\",\"\",ZOZNAM!N733),\"\")","v":"nie"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!O733=\"\",\"\",ZOZNAM!O733),\"\")","v":"nie"},{"$f":"IF($A742<>\"\",IF(ZOZNAM!P733=\"\",\"\",ZOZNAM!P733),\"\")","v":1.9},{"$f":"IF($A742<>\"\",IF(ZOZNAM!Q733=\"\",\"\",ZOZNAM!Q733),\"\")","v":""},{"$f":"IF($A742<>\"\",IF(ZOZNAM!R733=\"\",\"\",ZOZNAM!R733),\"\")","v":""},{"$f":"IF($A742<>\"\",IF(ZOZNAM!S733=\"\",\"\",ZOZNAM!S733),\"\")","v":""},{"$f":"IF($A742<>\"\",IF(ZOZNAM!T733=\"\",\"\",ZOZNAM!T733),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C734)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C734)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C734)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C734)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C734)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C734)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L734)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L734)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L734)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L734)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L734)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L734)),FALSE))),ZOZNAM!G734>=$C$9),ZOZNAM!A734,\"\")","v":"IC007"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!B734=\"\",\"\",ZOZNAM!B734),\"\")","v":"International Training Centre"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!C734=\"\",\"\",ZOZNAM!C734),\"\")","v":"IMPACT EVALUATION OF PUBLIC POLICIES, PROGRAMMES AND PROJECTS"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!D734=\"\",\"\",ZOZNAM!D734),\"\")","v":"Turín, Taliansko"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!E734=\"\",\"\",ZOZNAM!E734),\"\")","v":5},{"$f":"IF($A743<>\"\",IF(ZOZNAM!F734=\"\",\"\",ZOZNAM!F734),\"\")","v":5},{"$f":"IF($A743<>\"\",IF(ZOZNAM!G734=\"\",\"\",ZOZNAM!G734),\"\")","v":"2020-11-02"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!H734=\"\",\"\",ZOZNAM!H734),\"\")","v":"2020-11-06"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!I734=\"\",\"\",ZOZNAM!I734),\"\")","v":"2 285 EUR"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!J734=\"\",\"\",ZOZNAM!J734),\"\")","v":"2020-09-28"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!K734=\"\",\"\",ZOZNAM!K734),\"\")","v":"https://www.itcilo.org/courses/impact-evaluation-public-policies-programmes-and-projects"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!L734=\"\",\"\",ZOZNAM!L734),\"\")","v":"The aim of impact evaluation is to assess the relevance and effectiveness of a project, programme or public policy in bringing about a desired change in the well-being of the target population, and to measure improvements in pre-defined indicators in the sector concerned that can be attributed to the development intervention. An evaluation is usually undertaken during a defined period subsequent to an intervention, using a variety of techniques, including counterfactual impact, that measure/compare the results achieved with what would have happened (to the beneficiaries) had the project/programme intervention not taken place. Participants will be assisted in performing an impact evaluation of a selected project (case study), putting into practice what they have learned on the course."},{"$f":"IF($A743<>\"\",IF(ZOZNAM!M734=\"\",\"\",ZOZNAM!M734),\"\")","v":""},{"$f":"IF($A743<>\"\",IF(ZOZNAM!N734=\"\",\"\",ZOZNAM!N734),\"\")","v":"áno"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!O734=\"\",\"\",ZOZNAM!O734),\"\")","v":"nie"},{"$f":"IF($A743<>\"\",IF(ZOZNAM!P734=\"\",\"\",ZOZNAM!P734),\"\")","v":""},{"$f":"IF($A743<>\"\",IF(ZOZNAM!Q734=\"\",\"\",ZOZNAM!Q734),\"\")","v":""},{"$f":"IF($A743<>\"\",IF(ZOZNAM!R734=\"\",\"\",ZOZNAM!R734),\"\")","v":""},{"$f":"IF($A743<>\"\",IF(ZOZNAM!S734=\"\",\"\",ZOZNAM!S734),\"\")","v":""},{"$f":"IF($A743<>\"\",IF(ZOZNAM!T734=\"\",\"\",ZOZNAM!T734),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C742)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C742)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C742)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C742)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C742)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C742)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L742)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L742)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L742)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L742)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L742)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L742)),FALSE))),ZOZNAM!G742>=$C$9),ZOZNAM!A742,\"\")","v":"CL026"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!B742=\"\",\"\",ZOZNAM!B742),\"\")","v":"University College London (UCL)"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!C742=\"\",\"\",ZOZNAM!C742),\"\")","v":"Conducting a Life Cycle Assessment (LCA): from Theory to Practical Application"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!D742=\"\",\"\",ZOZNAM!D742),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!E742=\"\",\"\",ZOZNAM!E742),\"\")","v":4},{"$f":"IF($A751<>\"\",IF(ZOZNAM!F742=\"\",\"\",ZOZNAM!F742),\"\")","v":4},{"$f":"IF($A751<>\"\",IF(ZOZNAM!G742=\"\",\"\",ZOZNAM!G742),\"\")","v":"2020-11-09"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!H742=\"\",\"\",ZOZNAM!H742),\"\")","v":"2020-11-12"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!I742=\"\",\"\",ZOZNAM!I742),\"\")","v":"1200 GBP"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!J742=\"\",\"\",ZOZNAM!J742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!K742=\"\",\"\",ZOZNAM!K742),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/conducting-life-cycle-assessment-lca-theory-practical-application"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!L742=\"\",\"\",ZOZNAM!L742),\"\")","v":"This short course will give you an introduction to life cycle assessment (LCA) methods and how to apply them in real-life situations.\n\nLife cycle assessment (LCA) is a rapidly evolving tool used to determine impacts of products or systems over a range of environmental and resource issues. Applying this method of assessment is complex and difficult and translating the theory into a credible, transparent and applicable practice can be very challenging.\n\nThe course consists of two parts. You can book both parts together, or choose to do part 1 or 2 only.\n\nIn part 1 (two days) you'll develop a solid understanding of the process, data requirements and how to make use of the results. You'll then get the chance to apply this knowledge to real-life case studies.\n\nIn part 2 (two days) you'll learn how to apply systems thinking and LCA to assess environmental dimension of circular economy, including both technical and biological materials cycles. You'll then learn how to critically evaluate and compare circularity indicator tools with LCA."},{"$f":"IF($A751<>\"\",IF(ZOZNAM!M742=\"\",\"\",ZOZNAM!M742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!N742=\"\",\"\",ZOZNAM!N742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!O742=\"\",\"\",ZOZNAM!O742),\"\")","v":"nie"},{"$f":"IF($A751<>\"\",IF(ZOZNAM!P742=\"\",\"\",ZOZNAM!P742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!Q742=\"\",\"\",ZOZNAM!Q742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!R742=\"\",\"\",ZOZNAM!R742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!S742=\"\",\"\",ZOZNAM!S742),\"\")","v":""},{"$f":"IF($A751<>\"\",IF(ZOZNAM!T742=\"\",\"\",ZOZNAM!T742),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C745)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C745)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C745)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C745)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C745)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C745)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L745)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L745)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L745)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L745)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L745)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L745)),FALSE))),ZOZNAM!G745>=$C$9),ZOZNAM!A745,\"\")","v":"CE175"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!B745=\"\",\"\",ZOZNAM!B745),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!C745=\"\",\"\",ZOZNAM!C745),\"\")","v":"Policy Drafting and Negotiation in Line Ministries"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!D745=\"\",\"\",ZOZNAM!D745),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!E745=\"\",\"\",ZOZNAM!E745),\"\")","v":1},{"$f":"IF($A754<>\"\",IF(ZOZNAM!F745=\"\",\"\",ZOZNAM!F745),\"\")","v":1},{"$f":"IF($A754<>\"\",IF(ZOZNAM!G745=\"\",\"\",ZOZNAM!G745),\"\")","v":"2020-11-24"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!H745=\"\",\"\",ZOZNAM!H745),\"\")","v":"2020-11-26"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!I745=\"\",\"\",ZOZNAM!I745),\"\")","v":"0 EUR"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!J745=\"\",\"\",ZOZNAM!J745),\"\")","v":"2020-10-24"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!K745=\"\",\"\",ZOZNAM!K745),\"\")","v":"https://www.cef-see.org/20-lmr7"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!L745=\"\",\"\",ZOZNAM!L745),\"\")","v":"A precondition for successful implementation of structural reforms is to ensure that they are well-drafted, with clear statement of their expected impact and performance indicators. Well-stated measures build on effective communication and negotiation with various stakeholders, which can then be costed and integrated into the budget frameworks. The objective of this workshop is to improve writing of policy measures and support officials in transforming their ideas into clear statements, which entails also negotiating them with various stakeholders before their incorporation into the Economic Reform Programs. Target audience: public officials from line ministries and ministries of finance."},{"$f":"IF($A754<>\"\",IF(ZOZNAM!M745=\"\",\"\",ZOZNAM!M745),\"\")","v":""},{"$f":"IF($A754<>\"\",IF(ZOZNAM!N745=\"\",\"\",ZOZNAM!N745),\"\")","v":"nie"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!O745=\"\",\"\",ZOZNAM!O745),\"\")","v":"nie"},{"$f":"IF($A754<>\"\",IF(ZOZNAM!P745=\"\",\"\",ZOZNAM!P745),\"\")","v":""},{"$f":"IF($A754<>\"\",IF(ZOZNAM!Q745=\"\",\"\",ZOZNAM!Q745),\"\")","v":""},{"$f":"IF($A754<>\"\",IF(ZOZNAM!R745=\"\",\"\",ZOZNAM!R745),\"\")","v":""},{"$f":"IF($A754<>\"\",IF(ZOZNAM!S745=\"\",\"\",ZOZNAM!S745),\"\")","v":""},{"$f":"IF($A754<>\"\",IF(ZOZNAM!T745=\"\",\"\",ZOZNAM!T745),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C746)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C746)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C746)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C746)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C746)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C746)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L746)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L746)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L746)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L746)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L746)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L746)),FALSE))),ZOZNAM!G746>=$C$9),ZOZNAM!A746,\"\")","v":"TI301"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!B746=\"\",\"\",ZOZNAM!B746),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!C746=\"\",\"\",ZOZNAM!C746),\"\")","v":"Introduction to Panel Data Analysis with Stata "},{"$f":"IF($A755<>\"\",IF(ZOZNAM!D746=\"\",\"\",ZOZNAM!D746),\"\")","v":"Online"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!E746=\"\",\"\",ZOZNAM!E746),\"\")","v":1},{"$f":"IF($A755<>\"\",IF(ZOZNAM!F746=\"\",\"\",ZOZNAM!F746),\"\")","v":1},{"$f":"IF($A755<>\"\",IF(ZOZNAM!G746=\"\",\"\",ZOZNAM!G746),\"\")","v":"2020-09-18"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!H746=\"\",\"\",ZOZNAM!H746),\"\")","v":"2020-11-25"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!I746=\"\",\"\",ZOZNAM!I746),\"\")","v":"150 GBP (175 EUR)"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!J746=\"\",\"\",ZOZNAM!J746),\"\")","v":""},{"$f":"IF($A755<>\"\",IF(ZOZNAM!K746=\"\",\"\",ZOZNAM!K746),\"\")","v":"https://www.timberlake.co.uk/courses/training-stata-panel-data-online-september.html"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!L746=\"\",\"\",ZOZNAM!L746),\"\")","v":"Our web based Introduction to Panel Data Analysis with Stata course provides an overview of the most used panel data techniques. The course is ideal for beginner/intermediate level user who wants to learn how implement panel data estimation with Stata commands. The course will be very practical, employing plenty of examples and a constant stream of challenging exercises. Participants leave with the know-how and courage to independently perform their own panel data analysis.\n•Panel data analysis utilises more information (i.e. more degrees of freedom) and introduces more variability in the data and hence inference of model parameters can be more accurate;\n•Controlling for omitted / missing / unobserved factors. The growing availability of panel data has stimulated a rapid growth in both methodological approaches and applications during the last 20 years.\n\nThe course will be very practical; employing plenty of examples and a constant stream of challenging exercises. \n\nParticipants leave with the know-how and courage to independently perform their own panel data analysis.\n"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!M746=\"\",\"\",ZOZNAM!M746),\"\")","v":"Apply and pay before 17 September 2020\n\n18.9.2020 (1-4 pm GMT)\n25.11.2020 (1-4 pm GMT)"},{"$f":"IF($A755<>\"\",IF(ZOZNAM!N746=\"\",\"\",ZOZNAM!N746),\"\")","v":""},{"$f":"IF($A755<>\"\",IF(ZOZNAM!O746=\"\",\"\",ZOZNAM!O746),\"\")","v":""},{"$f":"IF($A755<>\"\",IF(ZOZNAM!P746=\"\",\"\",ZOZNAM!P746),\"\")","v":2},{"$f":"IF($A755<>\"\",IF(ZOZNAM!Q746=\"\",\"\",ZOZNAM!Q746),\"\")","v":""},{"$f":"IF($A755<>\"\",IF(ZOZNAM!R746=\"\",\"\",ZOZNAM!R746),\"\")","v":""},{"$f":"IF($A755<>\"\",IF(ZOZNAM!S746=\"\",\"\",ZOZNAM!S746),\"\")","v":""},{"$f":"IF($A755<>\"\",IF(ZOZNAM!T746=\"\",\"\",ZOZNAM!T746),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C748)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C748)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C748)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C748)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C748)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C748)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L748)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L748)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L748)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L748)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L748)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L748)),FALSE))),ZOZNAM!G748>=$C$9),ZOZNAM!A748,\"\")","v":"TI297"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!B748=\"\",\"\",ZOZNAM!B748),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!C748=\"\",\"\",ZOZNAM!C748),\"\")","v":"Econometrics of Program Evaluation Using Stata "},{"$f":"IF($A757<>\"\",IF(ZOZNAM!D748=\"\",\"\",ZOZNAM!D748),\"\")","v":"Online"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!E748=\"\",\"\",ZOZNAM!E748),\"\")","v":2},{"$f":"IF($A757<>\"\",IF(ZOZNAM!F748=\"\",\"\",ZOZNAM!F748),\"\")","v":3},{"$f":"IF($A757<>\"\",IF(ZOZNAM!G748=\"\",\"\",ZOZNAM!G748),\"\")","v":"2020-11-29"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!H748=\"\",\"\",ZOZNAM!H748),\"\")","v":"2020-12-01"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!I748=\"\",\"\",ZOZNAM!I748),\"\")","v":"450 GBP"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!J748=\"\",\"\",ZOZNAM!J748),\"\")","v":"2020-11-27"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!K748=\"\",\"\",ZOZNAM!K748),\"\")","v":"https://www.timberlake.co.uk/courses/econometrics-program-evaluation-stata-dec20.html"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!L748=\"\",\"\",ZOZNAM!L748),\"\")","v":"This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods."},{"$f":"IF($A757<>\"\",IF(ZOZNAM!M748=\"\",\"\",ZOZNAM!M748),\"\")","v":"Apply and pay before 28 November 2020"},{"$f":"IF($A757<>\"\",IF(ZOZNAM!N748=\"\",\"\",ZOZNAM!N748),\"\")","v":""},{"$f":"IF($A757<>\"\",IF(ZOZNAM!O748=\"\",\"\",ZOZNAM!O748),\"\")","v":""},{"$f":"IF($A757<>\"\",IF(ZOZNAM!P748=\"\",\"\",ZOZNAM!P748),\"\")","v":2},{"$f":"IF($A757<>\"\",IF(ZOZNAM!Q748=\"\",\"\",ZOZNAM!Q748),\"\")","v":""},{"$f":"IF($A757<>\"\",IF(ZOZNAM!R748=\"\",\"\",ZOZNAM!R748),\"\")","v":""},{"$f":"IF($A757<>\"\",IF(ZOZNAM!S748=\"\",\"\",ZOZNAM!S748),\"\")","v":""},{"$f":"IF($A757<>\"\",IF(ZOZNAM!T748=\"\",\"\",ZOZNAM!T748),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C750)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C750)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C750)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C750)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C750)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C750)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L750)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L750)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L750)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L750)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L750)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L750)),FALSE))),ZOZNAM!G750>=$C$9),ZOZNAM!A750,\"\")","v":"JV003"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!B750=\"\",\"\",ZOZNAM!B750),\"\")","v":"Joint Vienna Institute"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!C750=\"\",\"\",ZOZNAM!C750),\"\")","v":"Model-Based Monetary Policy Analysis and Forecasting"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!D750=\"\",\"\",ZOZNAM!D750),\"\")","v":"Viedeň, Rakúsko"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!E750=\"\",\"\",ZOZNAM!E750),\"\")","v":10},{"$f":"IF($A759<>\"\",IF(ZOZNAM!F750=\"\",\"\",ZOZNAM!F750),\"\")","v":12},{"$f":"IF($A759<>\"\",IF(ZOZNAM!G750=\"\",\"\",ZOZNAM!G750),\"\")","v":"2020-11-30"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!H750=\"\",\"\",ZOZNAM!H750),\"\")","v":"2020-12-11"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!I750=\"\",\"\",ZOZNAM!I750),\"\")","v":"0 EUR"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!J750=\"\",\"\",ZOZNAM!J750),\"\")","v":"2020-09-06"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!K750=\"\",\"\",ZOZNAM!K750),\"\")","v":"https://www.jvi.org/training/course-schedules/course-schedule-2020/course/20IM38.html"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!L750=\"\",\"\",ZOZNAM!L750),\"\")","v":"This course, presented by the Institute for Capacity Development, provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary analysis and forecasting. It emphasizes analysis of monetary policy responses to macroeconomic imbalances and shocks. Participants are provided with the tools necessary to develop or extend the model to fit their own monetary policy framework. Country case studies are used to reinforce participant understanding and to help them compare and assess a variety of possible experiences."},{"$f":"IF($A759<>\"\",IF(ZOZNAM!M750=\"\",\"\",ZOZNAM!M750),\"\")","v":"The IMF will require an approved language test for candidates whose working language is not one of the relevant course languages, and who have no evidence of proficiency in the course language(s). V cene sú zahrnuté raňajky, ubytovanie a pokrytie ďalšich výdavkov. Poskytuje sa aj zdravotné poistenie pre naliehavé prípady. "},{"$f":"IF($A759<>\"\",IF(ZOZNAM!N750=\"\",\"\",ZOZNAM!N750),\"\")","v":"áno"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!O750=\"\",\"\",ZOZNAM!O750),\"\")","v":"nie"},{"$f":"IF($A759<>\"\",IF(ZOZNAM!P750=\"\",\"\",ZOZNAM!P750),\"\")","v":""},{"$f":"IF($A759<>\"\",IF(ZOZNAM!Q750=\"\",\"\",ZOZNAM!Q750),\"\")","v":""},{"$f":"IF($A759<>\"\",IF(ZOZNAM!R750=\"\",\"\",ZOZNAM!R750),\"\")","v":""},{"$f":"IF($A759<>\"\",IF(ZOZNAM!S750=\"\",\"\",ZOZNAM!S750),\"\")","v":""},{"$f":"IF($A759<>\"\",IF(ZOZNAM!T750=\"\",\"\",ZOZNAM!T750),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C751)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C751)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C751)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C751)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C751)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C751)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L751)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L751)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L751)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L751)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L751)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L751)),FALSE))),ZOZNAM!G751>=$C$9),ZOZNAM!A751,\"\")","v":"TI298"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!B751=\"\",\"\",ZOZNAM!B751),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!C751=\"\",\"\",ZOZNAM!C751),\"\")","v":"Econometrics of Program Evaluation Using Stata "},{"$f":"IF($A760<>\"\",IF(ZOZNAM!D751=\"\",\"\",ZOZNAM!D751),\"\")","v":"Online"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!E751=\"\",\"\",ZOZNAM!E751),\"\")","v":2},{"$f":"IF($A760<>\"\",IF(ZOZNAM!F751=\"\",\"\",ZOZNAM!F751),\"\")","v":2},{"$f":"IF($A760<>\"\",IF(ZOZNAM!G751=\"\",\"\",ZOZNAM!G751),\"\")","v":"2020-11-30"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!H751=\"\",\"\",ZOZNAM!H751),\"\")","v":"2020-12-01"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!I751=\"\",\"\",ZOZNAM!I751),\"\")","v":"300 GBP"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!J751=\"\",\"\",ZOZNAM!J751),\"\")","v":"2020-11-28"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!K751=\"\",\"\",ZOZNAM!K751),\"\")","v":"https://www.timberlake.co.uk/courses/econometrics-of-program-evaluation-ir-20.html"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!L751=\"\",\"\",ZOZNAM!L751),\"\")","v":"This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods. \n\nAfter attending the course, the participant will be able to setting up and managing a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labor market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc., although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets. \n"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!M751=\"\",\"\",ZOZNAM!M751),\"\")","v":"Apply and pay before 29 November 2020"},{"$f":"IF($A760<>\"\",IF(ZOZNAM!N751=\"\",\"\",ZOZNAM!N751),\"\")","v":""},{"$f":"IF($A760<>\"\",IF(ZOZNAM!O751=\"\",\"\",ZOZNAM!O751),\"\")","v":""},{"$f":"IF($A760<>\"\",IF(ZOZNAM!P751=\"\",\"\",ZOZNAM!P751),\"\")","v":2},{"$f":"IF($A760<>\"\",IF(ZOZNAM!Q751=\"\",\"\",ZOZNAM!Q751),\"\")","v":""},{"$f":"IF($A760<>\"\",IF(ZOZNAM!R751=\"\",\"\",ZOZNAM!R751),\"\")","v":""},{"$f":"IF($A760<>\"\",IF(ZOZNAM!S751=\"\",\"\",ZOZNAM!S751),\"\")","v":""},{"$f":"IF($A760<>\"\",IF(ZOZNAM!T751=\"\",\"\",ZOZNAM!T751),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C752)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C752)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C752)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C752)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C752)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C752)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L752)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L752)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L752)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L752)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L752)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L752)),FALSE))),ZOZNAM!G752>=$C$9),ZOZNAM!A752,\"\")","v":"EU194"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!B752=\"\",\"\",ZOZNAM!B752),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!C752=\"\",\"\",ZOZNAM!C752),\"\")","v":"Financial Management and Audit of EU Structural and Investment Funds - Moving from 2014-2020 to 2021-2027"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!D752=\"\",\"\",ZOZNAM!D752),\"\")","v":"Online"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!E752=\"\",\"\",ZOZNAM!E752),\"\")","v":2},{"$f":"IF($A761<>\"\",IF(ZOZNAM!F752=\"\",\"\",ZOZNAM!F752),\"\")","v":2},{"$f":"IF($A761<>\"\",IF(ZOZNAM!G752=\"\",\"\",ZOZNAM!G752),\"\")","v":"2020-09-29"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!H752=\"\",\"\",ZOZNAM!H752),\"\")","v":"2020-09-30"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!I752=\"\",\"\",ZOZNAM!I752),\"\")","v":"500 EUR"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!J752=\"\",\"\",ZOZNAM!J752),\"\")","v":""},{"$f":"IF($A761<>\"\",IF(ZOZNAM!K752=\"\",\"\",ZOZNAM!K752),\"\")","v":"https://www.eipa.eu/product/financial-management-audit-eu-structural-investment-funds/"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!L752=\"\",\"\",ZOZNAM!L752),\"\")","v":"This online course will include discussion of the Coronavirus Response Investment Initiative as it relates to Cohesion Policy. We will look at the new emergency Amending Regulations. We will consider how the remaining €37 billion budget of 2014-2020 can be used for emergency health and economic development measures – supporting the health sector and the supply chain, SMEs, labour markets, research, development and technologies.\n\nThe progress of current programmes and projects will be severely impacted in most Member States. What will happen to delayed projects? Payment claims? Output targets and the Performance Framework? We will attempt to draw together experiences from around the EU.\n"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!M752=\"\",\"\",ZOZNAM!M752),\"\")","v":""},{"$f":"IF($A761<>\"\",IF(ZOZNAM!N752=\"\",\"\",ZOZNAM!N752),\"\")","v":"nie"},{"$f":"IF($A761<>\"\",IF(ZOZNAM!O752=\"\",\"\",ZOZNAM!O752),\"\")","v":"nie "},{"$f":"IF($A761<>\"\",IF(ZOZNAM!P752=\"\",\"\",ZOZNAM!P752),\"\")","v":""},{"$f":"IF($A761<>\"\",IF(ZOZNAM!Q752=\"\",\"\",ZOZNAM!Q752),\"\")","v":""},{"$f":"IF($A761<>\"\",IF(ZOZNAM!R752=\"\",\"\",ZOZNAM!R752),\"\")","v":""},{"$f":"IF($A761<>\"\",IF(ZOZNAM!S752=\"\",\"\",ZOZNAM!S752),\"\")","v":""},{"$f":"IF($A761<>\"\",IF(ZOZNAM!T752=\"\",\"\",ZOZNAM!T752),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C753)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C753)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C753)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C753)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C753)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C753)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L753)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L753)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L753)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L753)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L753)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L753)),FALSE))),ZOZNAM!G753>=$C$9),ZOZNAM!A753,\"\")","v":"BB001"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!B753=\"\",\"\",ZOZNAM!B753),\"\")","v":"Booth School of Business, University of Chicago"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!C753=\"\",\"\",ZOZNAM!C753),\"\")","v":"The Executive Finance Program"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!D753=\"\",\"\",ZOZNAM!D753),\"\")","v":"Chicago Booth, USA"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!E753=\"\",\"\",ZOZNAM!E753),\"\")","v":5},{"$f":"IF($A762<>\"\",IF(ZOZNAM!F753=\"\",\"\",ZOZNAM!F753),\"\")","v":5},{"$f":"IF($A762<>\"\",IF(ZOZNAM!G753=\"\",\"\",ZOZNAM!G753),\"\")","v":"2020-12-07"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!H753=\"\",\"\",ZOZNAM!H753),\"\")","v":"2020-12-11"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!I753=\"\",\"\",ZOZNAM!I753),\"\")","v":"11800 USD"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!J753=\"\",\"\",ZOZNAM!J753),\"\")","v":"2020-09-22"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!K753=\"\",\"\",ZOZNAM!K753),\"\")","v":"https://www.chicagobooth.edu/executiveeducation/programs/finance/executive-finance-program"},{"$f":"IF($A762<>\"\",IF(ZOZNAM!L753=\"\",\"\",ZOZNAM!L753),\"\")","v":"As a leader in your organization, the decisions you make can have a significant impact on the financial health of your company. This program will help you assess the value of your strategic decisions by giving you a broader understanding of finance and the interaction between business strategy and financial strategy.\n\nBy attending this program, you will:\n\nObtain a deeper understanding of how your organization’s economic outcomes are reflected in its financial statements, and how those statements are used inside and outside the organization.\nGain a sophisticated understanding of how to use financial statements to better understand the economics of other entities, including competitors.\nCommunicate more effectively with financial executives within the organization and with important external stakeholders such as analysts and investors.\nBetter understand how to use modern valuation techniques to evaluate investment opportunities, both projects and other businesses, including M&A and leveraged buyouts.\nLearn why optimizing management of capital, including liquidity and leverage, can affect firm value and how to value other businesses.\nUnderstand entrepreneurial finance, including private equity and venture capital.\nLearn how to manage external communications and capital to avoid unwanted attention from activist investors, short-sellers, and other corporate predators."},{"$f":"IF($A762<>\"\",IF(ZOZNAM!M753=\"\",\"\",ZOZNAM!M753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!N753=\"\",\"\",ZOZNAM!N753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!O753=\"\",\"\",ZOZNAM!O753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!P753=\"\",\"\",ZOZNAM!P753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!Q753=\"\",\"\",ZOZNAM!Q753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!R753=\"\",\"\",ZOZNAM!R753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!S753=\"\",\"\",ZOZNAM!S753),\"\")","v":""},{"$f":"IF($A762<>\"\",IF(ZOZNAM!T753=\"\",\"\",ZOZNAM!T753),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C754)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C754)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C754)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C754)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C754)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C754)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L754)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L754)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L754)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L754)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L754)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L754)),FALSE))),ZOZNAM!G754>=$C$9),ZOZNAM!A754,\"\")","v":"OU014"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!B754=\"\",\"\",ZOZNAM!B754),\"\")","v":"University of Oxford"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!C754=\"\",\"\",ZOZNAM!C754),\"\")","v":"Behavioural Science and Complex Interventions"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!D754=\"\",\"\",ZOZNAM!D754),\"\")","v":"Oxford, Veľká Británia"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!E754=\"\",\"\",ZOZNAM!E754),\"\")","v":5},{"$f":"IF($A763<>\"\",IF(ZOZNAM!F754=\"\",\"\",ZOZNAM!F754),\"\")","v":5},{"$f":"IF($A763<>\"\",IF(ZOZNAM!G754=\"\",\"\",ZOZNAM!G754),\"\")","v":"2020-12-07"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!H754=\"\",\"\",ZOZNAM!H754),\"\")","v":"2020-12-11"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!I754=\"\",\"\",ZOZNAM!I754),\"\")","v":"2470 GBP"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!J754=\"\",\"\",ZOZNAM!J754),\"\")","v":"2020-11-27"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!K754=\"\",\"\",ZOZNAM!K754),\"\")","v":"https://www.conted.ox.ac.uk/courses/behavioural-science-and-complex-interventions?code=O20C051B9Y"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!L754=\"\",\"\",ZOZNAM!L754),\"\")","v":"This module will cover the scientific basis of behaviour change and how scientific principles (chiefly from psychology) can be harnessed to address patient behaviour (for example, how best to support lifestyle interventions) and professional behaviour (for example, improving adherence to evidence-based guidelines).\n\nAs well as introducing key theoretical perspectives in behavioural science, this module will also have a strong empirical component in which you will apply behavioural theories to inform the development of complex interventions and consider how these might be implemented and tested in practice. You will consider the tension between laboratory research on behaviour and the complexity of real-world action, and how to address that complexity in analysis and intervention.\n\nThe module will also examine how behavioural insights can be used in health policy (for example, ‘nudge’ interventions to influence population behaviour). You will explore case studies of behaviour change efforts in translational science, and how behavioural insights can improve risk management and patient safety. You will be able to share real-world case studies from your own experience."},{"$f":"IF($A763<>\"\",IF(ZOZNAM!M754=\"\",\"\",ZOZNAM!M754),\"\")","v":""},{"$f":"IF($A763<>\"\",IF(ZOZNAM!N754=\"\",\"\",ZOZNAM!N754),\"\")","v":""},{"$f":"IF($A763<>\"\",IF(ZOZNAM!O754=\"\",\"\",ZOZNAM!O754),\"\")","v":"nie"},{"$f":"IF($A763<>\"\",IF(ZOZNAM!P754=\"\",\"\",ZOZNAM!P754),\"\")","v":""},{"$f":"IF($A763<>\"\",IF(ZOZNAM!Q754=\"\",\"\",ZOZNAM!Q754),\"\")","v":""},{"$f":"IF($A763<>\"\",IF(ZOZNAM!R754=\"\",\"\",ZOZNAM!R754),\"\")","v":""},{"$f":"IF($A763<>\"\",IF(ZOZNAM!S754=\"\",\"\",ZOZNAM!S754),\"\")","v":""},{"$f":"IF($A763<>\"\",IF(ZOZNAM!T754=\"\",\"\",ZOZNAM!T754),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C755)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C755)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C755)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C755)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C755)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C755)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L755)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L755)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L755)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L755)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L755)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L755)),FALSE))),ZOZNAM!G755>=$C$9),ZOZNAM!A755,\"\")","v":"CE176"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!B755=\"\",\"\",ZOZNAM!B755),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!C755=\"\",\"\",ZOZNAM!C755),\"\")","v":"Cost Accounting Techniques"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!D755=\"\",\"\",ZOZNAM!D755),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!E755=\"\",\"\",ZOZNAM!E755),\"\")","v":3},{"$f":"IF($A764<>\"\",IF(ZOZNAM!F755=\"\",\"\",ZOZNAM!F755),\"\")","v":3},{"$f":"IF($A764<>\"\",IF(ZOZNAM!G755=\"\",\"\",ZOZNAM!G755),\"\")","v":"2020-12-08"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!H755=\"\",\"\",ZOZNAM!H755),\"\")","v":"2020-12-10"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!I755=\"\",\"\",ZOZNAM!I755),\"\")","v":"0 EUR"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!J755=\"\",\"\",ZOZNAM!J755),\"\")","v":"2020-11-08"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!K755=\"\",\"\",ZOZNAM!K755),\"\")","v":"https://www.cef-see.org/20-acc8"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!L755=\"\",\"\",ZOZNAM!L755),\"\")","v":"The workshop aims to familiarize line ministry officials with the concepts and tools that support the analysis of costs in an effective and efficient manner. Cost accounting is an important managerial tool for improved understanding of actual resource allocation in service delivery, and offers the information needed for efficient and effective decision-making. Through presentation of theoretical concepts and practical exercises, the workshop will help participants understand the practical applicability and benefits of cost accounting in their institutions. Target audience: accountants of line ministries, financial officers and managers who apply cost accounting principles."},{"$f":"IF($A764<>\"\",IF(ZOZNAM!M755=\"\",\"\",ZOZNAM!M755),\"\")","v":""},{"$f":"IF($A764<>\"\",IF(ZOZNAM!N755=\"\",\"\",ZOZNAM!N755),\"\")","v":"nie"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!O755=\"\",\"\",ZOZNAM!O755),\"\")","v":"nie"},{"$f":"IF($A764<>\"\",IF(ZOZNAM!P755=\"\",\"\",ZOZNAM!P755),\"\")","v":""},{"$f":"IF($A764<>\"\",IF(ZOZNAM!Q755=\"\",\"\",ZOZNAM!Q755),\"\")","v":""},{"$f":"IF($A764<>\"\",IF(ZOZNAM!R755=\"\",\"\",ZOZNAM!R755),\"\")","v":""},{"$f":"IF($A764<>\"\",IF(ZOZNAM!S755=\"\",\"\",ZOZNAM!S755),\"\")","v":""},{"$f":"IF($A764<>\"\",IF(ZOZNAM!T755=\"\",\"\",ZOZNAM!T755),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C756)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C756)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C756)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C756)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C756)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C756)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L756)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L756)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L756)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L756)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L756)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L756)),FALSE))),ZOZNAM!G756>=$C$9),ZOZNAM!A756,\"\")","v":"CE177"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!B756=\"\",\"\",ZOZNAM!B756),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!C756=\"\",\"\",ZOZNAM!C756),\"\")","v":"Fiscal Risk Assessment of State-Owned Enterprises"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!D756=\"\",\"\",ZOZNAM!D756),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!E756=\"\",\"\",ZOZNAM!E756),\"\")","v":3},{"$f":"IF($A765<>\"\",IF(ZOZNAM!F756=\"\",\"\",ZOZNAM!F756),\"\")","v":3},{"$f":"IF($A765<>\"\",IF(ZOZNAM!G756=\"\",\"\",ZOZNAM!G756),\"\")","v":"2020-12-09"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!H756=\"\",\"\",ZOZNAM!H756),\"\")","v":"2020-12-11"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!I756=\"\",\"\",ZOZNAM!I756),\"\")","v":"0 EUR"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!J756=\"\",\"\",ZOZNAM!J756),\"\")","v":"2020-11-09"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!K756=\"\",\"\",ZOZNAM!K756),\"\")","v":"https://www.cef-see.org/20-bpe8"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!L756=\"\",\"\",ZOZNAM!L756),\"\")","v":"This workshop focuses on strengthening cash and debt management processes and coordination between ministries of finance (treasuries) and central banks. We will discuss the interactions between cash and debt management, the importance of good cash forecasts and how these can be improved, and the interrelationship within ministries of finance when cash and debt management are carried out by different departments or units, and between the ministry of finance and the central bank with their respective roles in managing fiscal and monetary policy. This initiative will look at the importance of and actions needed for ensuring comprehensive coverage of the treasury single account and at how cash forecasts can be improved to support more efficient use of government cash and better borrowing decisions. Target audience: public officials from ministries of finance involved in budget execution, and cash and debt management; officials from central banks involved in monetary operations."},{"$f":"IF($A765<>\"\",IF(ZOZNAM!M756=\"\",\"\",ZOZNAM!M756),\"\")","v":""},{"$f":"IF($A765<>\"\",IF(ZOZNAM!N756=\"\",\"\",ZOZNAM!N756),\"\")","v":"nie"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!O756=\"\",\"\",ZOZNAM!O756),\"\")","v":"nie"},{"$f":"IF($A765<>\"\",IF(ZOZNAM!P756=\"\",\"\",ZOZNAM!P756),\"\")","v":""},{"$f":"IF($A765<>\"\",IF(ZOZNAM!Q756=\"\",\"\",ZOZNAM!Q756),\"\")","v":""},{"$f":"IF($A765<>\"\",IF(ZOZNAM!R756=\"\",\"\",ZOZNAM!R756),\"\")","v":""},{"$f":"IF($A765<>\"\",IF(ZOZNAM!S756=\"\",\"\",ZOZNAM!S756),\"\")","v":""},{"$f":"IF($A765<>\"\",IF(ZOZNAM!T756=\"\",\"\",ZOZNAM!T756),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C757)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C757)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C757)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C757)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C757)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C757)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L757)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L757)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L757)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L757)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L757)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L757)),FALSE))),ZOZNAM!G757>=$C$9),ZOZNAM!A757,\"\")","v":"TI299"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!B757=\"\",\"\",ZOZNAM!B757),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!C757=\"\",\"\",ZOZNAM!C757),\"\")","v":"Time Series Analysis & Modelling using Stata "},{"$f":"IF($A766<>\"\",IF(ZOZNAM!D757=\"\",\"\",ZOZNAM!D757),\"\")","v":"Online"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!E757=\"\",\"\",ZOZNAM!E757),\"\")","v":2},{"$f":"IF($A766<>\"\",IF(ZOZNAM!F757=\"\",\"\",ZOZNAM!F757),\"\")","v":2},{"$f":"IF($A766<>\"\",IF(ZOZNAM!G757=\"\",\"\",ZOZNAM!G757),\"\")","v":"2020-12-10"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!H757=\"\",\"\",ZOZNAM!H757),\"\")","v":"2020-12-11"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!I757=\"\",\"\",ZOZNAM!I757),\"\")","v":"690 GBP"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!J757=\"\",\"\",ZOZNAM!J757),\"\")","v":"2020-12-03"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!K757=\"\",\"\",ZOZNAM!K757),\"\")","v":"https://www.timberlake.co.uk/courses/time-series-analysis-with-stata-usa-2020-dec.html"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!L757=\"\",\"\",ZOZNAM!L757),\"\")","v":"Time series data are nowadays collected for several phenomena in social and empirical sciences. Initially collected at year or quarter level, time series data are now used by marketing analytics, financial technology, and other fields in which data are collected at much smaller intervals (daily, hourly and even by the minute). This course focuses on the fundamental concepts required for the analysis, modelling and forecasting of time series data and provides an introduction to the theoretical foundation of time series models alongside a practical guide to the use of time series analysis techniques implemented in Stata 15. The course is based on the textbook by S. Boffelli and G. Urga (2016), Financial Econometrics Using Stata, Stata Press Publication. \nThe course will cover the following:"},{"$f":"IF($A766<>\"\",IF(ZOZNAM!M757=\"\",\"\",ZOZNAM!M757),\"\")","v":""},{"$f":"IF($A766<>\"\",IF(ZOZNAM!N757=\"\",\"\",ZOZNAM!N757),\"\")","v":""},{"$f":"IF($A766<>\"\",IF(ZOZNAM!O757=\"\",\"\",ZOZNAM!O757),\"\")","v":""},{"$f":"IF($A766<>\"\",IF(ZOZNAM!P757=\"\",\"\",ZOZNAM!P757),\"\")","v":2},{"$f":"IF($A766<>\"\",IF(ZOZNAM!Q757=\"\",\"\",ZOZNAM!Q757),\"\")","v":""},{"$f":"IF($A766<>\"\",IF(ZOZNAM!R757=\"\",\"\",ZOZNAM!R757),\"\")","v":""},{"$f":"IF($A766<>\"\",IF(ZOZNAM!S757=\"\",\"\",ZOZNAM!S757),\"\")","v":""},{"$f":"IF($A766<>\"\",IF(ZOZNAM!T757=\"\",\"\",ZOZNAM!T757),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C758)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C758)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C758)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C758)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C758)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C758)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L758)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L758)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L758)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L758)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L758)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L758)),FALSE))),ZOZNAM!G758>=$C$9),ZOZNAM!A758,\"\")","v":"AC260"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!B758=\"\",\"\",ZOZNAM!B758),\"\")","v":"ACREA CR"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!C758=\"\",\"\",ZOZNAM!C758),\"\")","v":"Text Mining"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!D758=\"\",\"\",ZOZNAM!D758),\"\")","v":"Online"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!E758=\"\",\"\",ZOZNAM!E758),\"\")","v":1},{"$f":"IF($A767<>\"\",IF(ZOZNAM!F758=\"\",\"\",ZOZNAM!F758),\"\")","v":1},{"$f":"IF($A767<>\"\",IF(ZOZNAM!G758=\"\",\"\",ZOZNAM!G758),\"\")","v":"2020-12-07"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!H758=\"\",\"\",ZOZNAM!H758),\"\")","v":"2020-12-07"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!I758=\"\",\"\",ZOZNAM!I758),\"\")","v":"245 EUR + 21% DPH"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!J758=\"\",\"\",ZOZNAM!J758),\"\")","v":""},{"$f":"IF($A767<>\"\",IF(ZOZNAM!K758=\"\",\"\",ZOZNAM!K758),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/velikost-vyzkumneho-souboru/"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!L758=\"\",\"\",ZOZNAM!L758),\"\")","v":"Cílem kurzu je seznámit účastníky s postupy pro vybírání výzkumných jednotek a s postupy sloužícími k určení velikosti výběru. Výuka klade důraz jak na vysvětlení principů, tak i na praktickou aplikaci úloh v IBM SPSS Sample Power.\nPROGRAM KURZU:\n- požadavek stanovení velikosti výběru jako součást požadavku na „Open Science“\n- základní designy pro možnost zobecňování\npopulace, cílová skupina, dostupná populace, výběr. Základní výběrové postupy, náhodné a nenáhodné vybírání.\n- logika statistického testování, alfa, beta a síla testu. Intervaly spolehlivosti a jejich aplikace.\npřehled postupů pro stanovení velikosti výběru\n- jednoduché postupy, praktické ukázky\n- postupy založené na síle testu v IBM SPSS SamplePower\n- postupy založené na požadované velikosti intervalu spolehlivosti v ESCI\n- postupy pro složitější statistické techniky, přehled software"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!M758=\"\",\"\",ZOZNAM!M758),\"\")","v":"Predpoklad: znalost základních statistických metod (popisná a konfirmační statistika, lineární regrese)"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!N758=\"\",\"\",ZOZNAM!N758),\"\")","v":"nie"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!O758=\"\",\"\",ZOZNAM!O758),\"\")","v":"nie"},{"$f":"IF($A767<>\"\",IF(ZOZNAM!P758=\"\",\"\",ZOZNAM!P758),\"\")","v":1.9},{"$f":"IF($A767<>\"\",IF(ZOZNAM!Q758=\"\",\"\",ZOZNAM!Q758),\"\")","v":""},{"$f":"IF($A767<>\"\",IF(ZOZNAM!R758=\"\",\"\",ZOZNAM!R758),\"\")","v":""},{"$f":"IF($A767<>\"\",IF(ZOZNAM!S758=\"\",\"\",ZOZNAM!S758),\"\")","v":""},{"$f":"IF($A767<>\"\",IF(ZOZNAM!T758=\"\",\"\",ZOZNAM!T758),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C759)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C759)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C759)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C759)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C759)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C759)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L759)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L759)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L759)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L759)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L759)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L759)),FALSE))),ZOZNAM!G759>=$C$9),ZOZNAM!A759,\"\")","v":"WB003"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!B759=\"\",\"\",ZOZNAM!B759),\"\")","v":"World Bank"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!C759=\"\",\"\",ZOZNAM!C759),\"\")","v":"Monitoring and Evaluation of Climate Mitigation Initiatives(Self-paced)"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!D759=\"\",\"\",ZOZNAM!D759),\"\")","v":"Online"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!E759=\"\",\"\",ZOZNAM!E759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!F759=\"\",\"\",ZOZNAM!F759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!G759=\"\",\"\",ZOZNAM!G759),\"\")","v":"Self-paced"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!H759=\"\",\"\",ZOZNAM!H759),\"\")","v":"Self-paced"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!I759=\"\",\"\",ZOZNAM!I759),\"\")","v":"0 EUR"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!J759=\"\",\"\",ZOZNAM!J759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!K759=\"\",\"\",ZOZNAM!K759),\"\")","v":"https://olc.worldbank.org/content/monitoring-and-evaluation-climate-mitigation-initiativesself-paced"},{"$f":"IF($A768<>\"\",IF(ZOZNAM!L759=\"\",\"\",ZOZNAM!L759),\"\")","v":"After an introduction on the key concepts, the courses discusses why M&E is important, the basic components of a good M&E system, and international M&E practices. The second lesson covers monitoring and evaluation design and implementation for climate mitigation initiatives. The third and final lesson covers evaluation case studies and additional best practices for M&E of climate mitigation initiatives."},{"$f":"IF($A768<>\"\",IF(ZOZNAM!M759=\"\",\"\",ZOZNAM!M759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!N759=\"\",\"\",ZOZNAM!N759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!O759=\"\",\"\",ZOZNAM!O759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!P759=\"\",\"\",ZOZNAM!P759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!Q759=\"\",\"\",ZOZNAM!Q759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!R759=\"\",\"\",ZOZNAM!R759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!S759=\"\",\"\",ZOZNAM!S759),\"\")","v":""},{"$f":"IF($A768<>\"\",IF(ZOZNAM!T759=\"\",\"\",ZOZNAM!T759),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C764)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C764)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C764)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C764)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C764)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C764)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L764)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L764)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L764)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L764)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L764)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L764)),FALSE))),ZOZNAM!G764>=$C$9),ZOZNAM!A764,\"\")","v":"TR002"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!B764=\"\",\"\",ZOZNAM!B764),\"\")","v":"Turin School of Local Regulation"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!C764=\"\",\"\",ZOZNAM!C764),\"\")","v":"International Summer School on the Regulation of Local Public Services 23rd Edition "},{"$f":"IF($A773<>\"\",IF(ZOZNAM!D764=\"\",\"\",ZOZNAM!D764),\"\")","v":"Turín, Taliansko"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!E764=\"\",\"\",ZOZNAM!E764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!F764=\"\",\"\",ZOZNAM!F764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!G764=\"\",\"\",ZOZNAM!G764),\"\")","v":"2021-09-06"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!H764=\"\",\"\",ZOZNAM!H764),\"\")","v":"2021-09-10"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!I764=\"\",\"\",ZOZNAM!I764),\"\")","v":"150 EUR"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!J764=\"\",\"\",ZOZNAM!J764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!K764=\"\",\"\",ZOZNAM!K764),\"\")","v":"https://turinschool.eu/iss"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!L764=\"\",\"\",ZOZNAM!L764),\"\")","v":"The School is designed to offer two weeks “full immersion”  in user charges regulation of local public services (e.g. waste, water, public transport, district heating, sport facilities) and is mainly addressed to undergraduate students at their last year, PhD and graduate students and officials from the Public Administration (municipalities, counties, regional bodies) and regulatory agencies.\n\n The course lasts two weeks and is articulated in three parts:\n - theoretical module\n - industry analysis\n - case studies (with a virtual regulatory final report prepared by attendants)\n"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!M764=\"\",\"\",ZOZNAM!M764),\"\")","v":"Apply by June 2021"},{"$f":"IF($A773<>\"\",IF(ZOZNAM!N764=\"\",\"\",ZOZNAM!N764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!O764=\"\",\"\",ZOZNAM!O764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!P764=\"\",\"\",ZOZNAM!P764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!Q764=\"\",\"\",ZOZNAM!Q764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!R764=\"\",\"\",ZOZNAM!R764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!S764=\"\",\"\",ZOZNAM!S764),\"\")","v":""},{"$f":"IF($A773<>\"\",IF(ZOZNAM!T764=\"\",\"\",ZOZNAM!T764),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C765)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C765)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C765)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C765)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C765)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C765)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L765)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L765)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L765)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L765)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L765)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L765)),FALSE))),ZOZNAM!G765>=$C$9),ZOZNAM!A765,\"\")","v":"WB002"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!B765=\"\",\"\",ZOZNAM!B765),\"\")","v":"World Bank"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!C765=\"\",\"\",ZOZNAM!C765),\"\")","v":"Introduction to Air Quality Management (Facilitated)"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!D765=\"\",\"\",ZOZNAM!D765),\"\")","v":"Online"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!E765=\"\",\"\",ZOZNAM!E765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!F765=\"\",\"\",ZOZNAM!F765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!G765=\"\",\"\",ZOZNAM!G765),\"\")","v":"TBA"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!H765=\"\",\"\",ZOZNAM!H765),\"\")","v":"TBA"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!I765=\"\",\"\",ZOZNAM!I765),\"\")","v":"0 EUR"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!J765=\"\",\"\",ZOZNAM!J765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!K765=\"\",\"\",ZOZNAM!K765),\"\")","v":"https://olc.worldbank.org/content/introduction-air-quality-management-facilitated"},{"$f":"IF($A774<>\"\",IF(ZOZNAM!L765=\"\",\"\",ZOZNAM!L765),\"\")","v":"Designing and implementing an effective air quality management (AQM) program relies on understanding the issues affecting the region, raising awareness, collecting data and building capacity. The goal of this course is to provide a basic introduction to concepts of air pollution and its management. Topics include the health impacts of air pollutants, identifying sources of pollution and describing different formation mechanisms and impacts. The course also provides information on the principles of successful AQM programs, and effective program implementation for positive results. As an introductory course, this is intended to provide a survey of various concepts and elements of the AQM planning process. At the conclusion of this course, participants should be able to: o Identify the conditions and/or emission sources that lead to air pollution, its impacts and the multiple benefits of emission reductions. o Understand the reasons for and key elements of AQM programs. o Name common control strategies for various sectors that contribute to air pollution. o Explain the importance of stakeholder engagement, the role of cost-effectiveness or cost-benefit analysis and name different regulatory approaches for implementing emission control strategies (e.g. performance standards, cap-and-trade, incentive and voluntary programs)."},{"$f":"IF($A774<>\"\",IF(ZOZNAM!M765=\"\",\"\",ZOZNAM!M765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!N765=\"\",\"\",ZOZNAM!N765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!O765=\"\",\"\",ZOZNAM!O765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!P765=\"\",\"\",ZOZNAM!P765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!Q765=\"\",\"\",ZOZNAM!Q765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!R765=\"\",\"\",ZOZNAM!R765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!S765=\"\",\"\",ZOZNAM!S765),\"\")","v":""},{"$f":"IF($A774<>\"\",IF(ZOZNAM!T765=\"\",\"\",ZOZNAM!T765),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C766)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C766)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C766)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C766)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C766)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C766)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L766)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L766)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L766)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L766)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L766)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L766)),FALSE))),ZOZNAM!G766>=$C$9),ZOZNAM!A766,\"\")","v":"AC237"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!B766=\"\",\"\",ZOZNAM!B766),\"\")","v":"ACREA CR"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!C766=\"\",\"\",ZOZNAM!C766),\"\")","v":"SEMESTRÁLNÍ KURZ: Statistická analýza dat v praxi - od pojmú k interpretaci výsledkú"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!D766=\"\",\"\",ZOZNAM!D766),\"\")","v":"Praha, Česko"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!E766=\"\",\"\",ZOZNAM!E766),\"\")","v":78},{"$f":"IF($A775<>\"\",IF(ZOZNAM!F766=\"\",\"\",ZOZNAM!F766),\"\")","v":113},{"$f":"IF($A775<>\"\",IF(ZOZNAM!G766=\"\",\"\",ZOZNAM!G766),\"\")","v":"2020-10-09"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!H766=\"\",\"\",ZOZNAM!H766),\"\")","v":"2021-01-29"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!I766=\"\",\"\",ZOZNAM!I766),\"\")","v":"1742 EUR"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!J766=\"\",\"\",ZOZNAM!J766),\"\")","v":""},{"$f":"IF($A775<>\"\",IF(ZOZNAM!K766=\"\",\"\",ZOZNAM!K766),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/statisticka-analyza-dat-v-praxi/"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!L766=\"\",\"\",ZOZNAM!L766),\"\")","v":"Účastníci tohoto semestrálního kurzu získají ucelený přehled o nejčastěji využívaných postupech analýzy dat, které je možné aplikovat bez ohledu na statistický software. Seznámíme vás se základy pro analytickou práci a osvojíte si mnoho užitečných způsobů a postupů pro praxi. Účastnit se mohou všichni odborní pracovníci, kteří realizují statistické analýzy nebo tato témata vyučují.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\nPROGRAM KURZU\n\nZákladní pojmy statistické analýzy dat\nDefinujeme a rozebereme si statistické pojmy, typy statistických analýz, inference, explorační, expirační a konfirmační techniky.\nPopisné statistiky\nRozebereme si popis statistických dat (tabelace a grafické znázornění). Povíme si, jak vytvářet statistické tabulky a grafy.\nMěření úrovně a heterogenity dat\nProbereme momentové a kvantilové míry, jako jsou průměry, mediány, kvartily, decily, rozptyl a měření vnitřní heterogenity souboru.\nTestování hypotéz a intervaly spolehlivosti\nBudeme se věnovat problematice neurčitosti v datech a rozhodování za neurčitosti, představíme si princip testování statistických hypotéz a jejich přijímání nebo zamítání.\nTesty hypotéz o průměrech (t-testy)\nAnalýza průměrů ve skupinách\nJde o jednoduchou analýzu rozptylu, porovnání skupinových průměrů a rozptylů, spojování skupin se stejnou úrovní vlastnosti, apriorní komparace (kontrasty), aposteriorní seskupování podle jedné a více proměnných (postupné vyhledávání interakcí na stropech).\nSoučástí tohoto bodu bude i vícefaktorová analýza rozptylu.\nKorelační analýza\nPovíme si o lineární korelaci, práci s korelační maticí a vlastnostech korelačních měr.\n\nDalší částí jsou parciální korelace, řetězení vlivů, společná příčina dvou vlastností (nepravé korelace).\n\nKorelační grafy.\n\nKorelace, kauzalita.\n\nRegresní analýza\nBudeme se věnovat lineární regresní analýze, interpretaci regresní přímky a popisu, vysvětlení a predikci této analýzy.\nProbereme nelineární vztahy.\nCo je vícenásobná regresní analýza, jaké jsou metody výběru represorů v rovnici a určení kvality modelu regresního vztahu.\nFaktorová analýza\nVysvětlíme si latentní vlastnosti a jejich indikace, faktory ovlivňující korelační matici, faktorová řešení, zobrazení faktorů a interpretaci, uložení a analýzu faktorů.\nMnohorozměrné škály (percepční mapy a zobrazení vztahů)\nPředstavíme si analýzu profilů – vztahovou mapu, percepční mapy a vnímání značek, segmentaci ve vztahovém poli.\nSeskupovací metody\nSegmentace a vytváření typologií seskupování případů z hlediska datového profilu, typy a typologie, segmenty trhu, analýza a interpretace typů."},{"$f":"IF($A775<>\"\",IF(ZOZNAM!M766=\"\",\"\",ZOZNAM!M766),\"\")","v":"KURZ PREBIEHA KAŽDÝ PIATOK DOOBEDA 3 MESIACE. Pri prihásení do 31.8. zľava 20%."},{"$f":"IF($A775<>\"\",IF(ZOZNAM!N766=\"\",\"\",ZOZNAM!N766),\"\")","v":"nie"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!O766=\"\",\"\",ZOZNAM!O766),\"\")","v":"nie"},{"$f":"IF($A775<>\"\",IF(ZOZNAM!P766=\"\",\"\",ZOZNAM!P766),\"\")","v":1.9},{"$f":"IF($A775<>\"\",IF(ZOZNAM!Q766=\"\",\"\",ZOZNAM!Q766),\"\")","v":""},{"$f":"IF($A775<>\"\",IF(ZOZNAM!R766=\"\",\"\",ZOZNAM!R766),\"\")","v":""},{"$f":"IF($A775<>\"\",IF(ZOZNAM!S766=\"\",\"\",ZOZNAM!S766),\"\")","v":""},{"$f":"IF($A775<>\"\",IF(ZOZNAM!T766=\"\",\"\",ZOZNAM!T766),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C767)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C767)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C767)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C767)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C767)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C767)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L767)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L767)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L767)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L767)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L767)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L767)),FALSE))),ZOZNAM!G767>=$C$9),ZOZNAM!A767,\"\")","v":"AC238"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!B767=\"\",\"\",ZOZNAM!B767),\"\")","v":"ACREA CR"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!C767=\"\",\"\",ZOZNAM!C767),\"\")","v":"Analýza a predikce časových řad"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!D767=\"\",\"\",ZOZNAM!D767),\"\")","v":"Praha, Česko"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!E767=\"\",\"\",ZOZNAM!E767),\"\")","v":3},{"$f":"IF($A776<>\"\",IF(ZOZNAM!F767=\"\",\"\",ZOZNAM!F767),\"\")","v":3},{"$f":"IF($A776<>\"\",IF(ZOZNAM!G767=\"\",\"\",ZOZNAM!G767),\"\")","v":"2020-09-16"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!H767=\"\",\"\",ZOZNAM!H767),\"\")","v":"2020-09-18"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!I767=\"\",\"\",ZOZNAM!I767),\"\")","v":"653,40 EUR"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!J767=\"\",\"\",ZOZNAM!J767),\"\")","v":""},{"$f":"IF($A776<>\"\",IF(ZOZNAM!K767=\"\",\"\",ZOZNAM!K767),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-a-predikce-casovych-rad/"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!L767=\"\",\"\",ZOZNAM!L767),\"\")","v":"Cílem kurzu je seznámit účastníky s metodami pro zpracování časových řad a naučit je tyto metody používat v praxi. Vyučovány jsou základní přístupy k časovým řadám i pokročilé metody (exponenciální vyrovnávání, ARIMA a ARIMA s vysvětlujícími proměnnými). U každé metody jsou probrány teoretické základy, ale zároveň je kladen silný důraz na její použití v situacích, se kterými se účastník setkává ve své praxi."},{"$f":"IF($A776<>\"\",IF(ZOZNAM!M767=\"\",\"\",ZOZNAM!M767),\"\")","v":""},{"$f":"IF($A776<>\"\",IF(ZOZNAM!N767=\"\",\"\",ZOZNAM!N767),\"\")","v":"nie"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!O767=\"\",\"\",ZOZNAM!O767),\"\")","v":"nie"},{"$f":"IF($A776<>\"\",IF(ZOZNAM!P767=\"\",\"\",ZOZNAM!P767),\"\")","v":1.9},{"$f":"IF($A776<>\"\",IF(ZOZNAM!Q767=\"\",\"\",ZOZNAM!Q767),\"\")","v":""},{"$f":"IF($A776<>\"\",IF(ZOZNAM!R767=\"\",\"\",ZOZNAM!R767),\"\")","v":""},{"$f":"IF($A776<>\"\",IF(ZOZNAM!S767=\"\",\"\",ZOZNAM!S767),\"\")","v":""},{"$f":"IF($A776<>\"\",IF(ZOZNAM!T767=\"\",\"\",ZOZNAM!T767),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C768)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C768)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C768)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C768)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C768)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C768)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L768)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L768)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L768)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L768)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L768)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L768)),FALSE))),ZOZNAM!G768>=$C$9),ZOZNAM!A768,\"\")","v":"AC239"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!B768=\"\",\"\",ZOZNAM!B768),\"\")","v":"ACREA CR"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!C768=\"\",\"\",ZOZNAM!C768),\"\")","v":"ANALÝZA KATEGORIZOVANÝCH DAT I \n- dvourozměrné kontingenční tabulky četností"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!D768=\"\",\"\",ZOZNAM!D768),\"\")","v":"Praha, Česko"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!E768=\"\",\"\",ZOZNAM!E768),\"\")","v":1},{"$f":"IF($A777<>\"\",IF(ZOZNAM!F768=\"\",\"\",ZOZNAM!F768),\"\")","v":1},{"$f":"IF($A777<>\"\",IF(ZOZNAM!G768=\"\",\"\",ZOZNAM!G768),\"\")","v":"2020-11-09"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!H768=\"\",\"\",ZOZNAM!H768),\"\")","v":"2020-11-09"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!I768=\"\",\"\",ZOZNAM!I768),\"\")","v":"296,45 EUR"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!J768=\"\",\"\",ZOZNAM!J768),\"\")","v":""},{"$f":"IF($A777<>\"\",IF(ZOZNAM!K768=\"\",\"\",ZOZNAM!K768),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!L768=\"\",\"\",ZOZNAM!L768),\"\")","v":"Shrnout postupy analýzy – testy hypotéz i explorační metody, které ukazují skrytou informaci v tabulce. Porozumět informaci v tabulce obsažené. Osvojit si metodologii systematické práce s tabulkou pro odhalení datové informace.\nPROGRAM KURZU\n\nčetnosti pro jevy – dichotomická proměnná a vícehodnotová kategorizovaná proměnná – typy a vznik dat\nrozložení četností a hypotéza dobré shody – chí-kvadrát\ntabulka 2×2: testy Pearsonův a McNemarův\nkomparace rozložení a vztahy mezi proměnnými – testy homogenity a nezávislosti\nstruktura vztahů: korespondence/korelace/residua – znaménkové schéma\n(jednoduchá) analýza korespondencí\nseskupování řádků\npoužití asociačních stromů pro analýzu tabulky\nmíry asociace a změny"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!M768=\"\",\"\",ZOZNAM!M768),\"\")","v":"CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n16 320 Kč / 590 € + 21% DPH za 3 kurzy\n\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III "},{"$f":"IF($A777<>\"\",IF(ZOZNAM!N768=\"\",\"\",ZOZNAM!N768),\"\")","v":"nie"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!O768=\"\",\"\",ZOZNAM!O768),\"\")","v":"nie"},{"$f":"IF($A777<>\"\",IF(ZOZNAM!P768=\"\",\"\",ZOZNAM!P768),\"\")","v":1.9},{"$f":"IF($A777<>\"\",IF(ZOZNAM!Q768=\"\",\"\",ZOZNAM!Q768),\"\")","v":""},{"$f":"IF($A777<>\"\",IF(ZOZNAM!R768=\"\",\"\",ZOZNAM!R768),\"\")","v":""},{"$f":"IF($A777<>\"\",IF(ZOZNAM!S768=\"\",\"\",ZOZNAM!S768),\"\")","v":""},{"$f":"IF($A777<>\"\",IF(ZOZNAM!T768=\"\",\"\",ZOZNAM!T768),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C787)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C787)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C787)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C787)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C787)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C787)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L787)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L787)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L787)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L787)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L787)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L787)),FALSE))),ZOZNAM!G787>=$C$9),ZOZNAM!A787,\"\")","v":"AE010"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!B787=\"\",\"\",ZOZNAM!B787),\"\")","v":"AdeptEvents"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!C787=\"\",\"\",ZOZNAM!C787),\"\")","v":"AGILE DATA WAREHOUSE DESIGN & DIMENSIONAL MODELING"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!D787=\"\",\"\",ZOZNAM!D787),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!E787=\"\",\"\",ZOZNAM!E787),\"\")","v":3},{"$f":"IF($A796<>\"\",IF(ZOZNAM!F787=\"\",\"\",ZOZNAM!F787),\"\")","v":3},{"$f":"IF($A796<>\"\",IF(ZOZNAM!G787=\"\",\"\",ZOZNAM!G787),\"\")","v":"2020-11-02"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!H787=\"\",\"\",ZOZNAM!H787),\"\")","v":"2020-11-04"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!I787=\"\",\"\",ZOZNAM!I787),\"\")","v":"2408 EUR"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!J787=\"\",\"\",ZOZNAM!J787),\"\")","v":""},{"$f":"IF($A796<>\"\",IF(ZOZNAM!K787=\"\",\"\",ZOZNAM!K787),\"\")","v":"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!L787=\"\",\"\",ZOZNAM!L787),\"\")","v":"Agile Data Warehouse Design covers step-by-step techniques for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders.\n\nAgile techniques emphasise the early and frequent delivery of working software, stakeholder collaboration, responsiveness to change and waste elimination. They have revolutionised application development and are increasingly being adopted by DW/BI teams. This course provides practical tools and techniques for applying agility to the design of database schemas – the earliest needed and most important working software for BI.\n\nThe course contrasts agile and non-agile DW/BI development and highlights the inherent failings of traditional BI requirements analysis and data modeling. Via class room sessions and team exercises attendees will discover how modelstorming (modeling + brainstorming) data requirements directly with BI stakeholders overcomes these limitations."},{"$f":"IF($A796<>\"\",IF(ZOZNAM!M787=\"\",\"\",ZOZNAM!M787),\"\")","v":"EARLY BIRD\nThe Early Bird rate of € 1.791,00 expires (*) after 3 October 2020. Register now and receive discount!\n"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!N787=\"\",\"\",ZOZNAM!N787),\"\")","v":"nie"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!O787=\"\",\"\",ZOZNAM!O787),\"\")","v":"nie"},{"$f":"IF($A796<>\"\",IF(ZOZNAM!P787=\"\",\"\",ZOZNAM!P787),\"\")","v":1.07},{"$f":"IF($A796<>\"\",IF(ZOZNAM!Q787=\"\",\"\",ZOZNAM!Q787),\"\")","v":""},{"$f":"IF($A796<>\"\",IF(ZOZNAM!R787=\"\",\"\",ZOZNAM!R787),\"\")","v":""},{"$f":"IF($A796<>\"\",IF(ZOZNAM!S787=\"\",\"\",ZOZNAM!S787),\"\")","v":""},{"$f":"IF($A796<>\"\",IF(ZOZNAM!T787=\"\",\"\",ZOZNAM!T787),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C788)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C788)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C788)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C788)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C788)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C788)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L788)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L788)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L788)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L788)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L788)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L788)),FALSE))),ZOZNAM!G788>=$C$9),ZOZNAM!A788,\"\")","v":"AE011"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!B788=\"\",\"\",ZOZNAM!B788),\"\")","v":"AdeptEvents"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!C788=\"\",\"\",ZOZNAM!C788),\"\")","v":"WORKING WITH BUSINESS PROCESSES"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!D788=\"\",\"\",ZOZNAM!D788),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!E788=\"\",\"\",ZOZNAM!E788),\"\")","v":2},{"$f":"IF($A797<>\"\",IF(ZOZNAM!F788=\"\",\"\",ZOZNAM!F788),\"\")","v":2},{"$f":"IF($A797<>\"\",IF(ZOZNAM!G788=\"\",\"\",ZOZNAM!G788),\"\")","v":"2020-11-25"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!H788=\"\",\"\",ZOZNAM!H788),\"\")","v":"2020-11-26"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!I788=\"\",\"\",ZOZNAM!I788),\"\")","v":"1755 EUR"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!J788=\"\",\"\",ZOZNAM!J788),\"\")","v":""},{"$f":"IF($A797<>\"\",IF(ZOZNAM!K788=\"\",\"\",ZOZNAM!K788),\"\")","v":"https://adeptevents.nl/event/working-with-business-processes?lang=en"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!L788=\"\",\"\",ZOZNAM!L788),\"\")","v":"Objectives:\nOn workshop completion, participants will be able to:\n– Identify a “true” business process, and specify its boundaries and goals\n– Describe the key factors that differentiate process-oriented approaches from functionally-oriented (or organizationally-oriented) approaches\n– Employ a variety of techniques to keep stakeholders involved, and promote “process orientation”\n– Model process workflow at progressive levels of detail using Swimlane Diagrams\n– Stop process modeling at the appropriate point, and move on to other techniques or phases\n– Conduct a structured assessment of a business process\n– Develop a process redesign while avoiding common (and serious!) pitfalls.\n\nKey principles are illustrated throughout with workshop exercises and discussions. Business professionals with responsibility for improving their processes and business analysts needing solid techniques will both benefit from this workshop. The material complements the techniques covered in our Data Modelling workshops, which collectively provide the analyst with a powerful, integrated set of techniques."},{"$f":"IF($A797<>\"\",IF(ZOZNAM!M788=\"\",\"\",ZOZNAM!M788),\"\")","v":""},{"$f":"IF($A797<>\"\",IF(ZOZNAM!N788=\"\",\"\",ZOZNAM!N788),\"\")","v":"nie"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!O788=\"\",\"\",ZOZNAM!O788),\"\")","v":"nie"},{"$f":"IF($A797<>\"\",IF(ZOZNAM!P788=\"\",\"\",ZOZNAM!P788),\"\")","v":1.07},{"$f":"IF($A797<>\"\",IF(ZOZNAM!Q788=\"\",\"\",ZOZNAM!Q788),\"\")","v":""},{"$f":"IF($A797<>\"\",IF(ZOZNAM!R788=\"\",\"\",ZOZNAM!R788),\"\")","v":""},{"$f":"IF($A797<>\"\",IF(ZOZNAM!S788=\"\",\"\",ZOZNAM!S788),\"\")","v":""},{"$f":"IF($A797<>\"\",IF(ZOZNAM!T788=\"\",\"\",ZOZNAM!T788),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C789)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C789)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C789)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C789)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C789)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C789)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L789)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L789)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L789)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L789)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L789)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L789)),FALSE))),ZOZNAM!G789>=$C$9),ZOZNAM!A789,\"\")","v":"BE004"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!B789=\"\",\"\",ZOZNAM!B789),\"\")","v":"Bank of England"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!C789=\"\",\"\",ZOZNAM!C789),\"\")","v":"Modelling with Big Data & Machine Learning: Measuring Economic Instability"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!D789=\"\",\"\",ZOZNAM!D789),\"\")","v":"Online"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!E789=\"\",\"\",ZOZNAM!E789),\"\")","v":3},{"$f":"IF($A798<>\"\",IF(ZOZNAM!F789=\"\",\"\",ZOZNAM!F789),\"\")","v":3},{"$f":"IF($A798<>\"\",IF(ZOZNAM!G789=\"\",\"\",ZOZNAM!G789),\"\")","v":"2020-11-04"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!H789=\"\",\"\",ZOZNAM!H789),\"\")","v":"2020-11-06"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!I789=\"\",\"\",ZOZNAM!I789),\"\")","v":"0 EUR"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!J789=\"\",\"\",ZOZNAM!J789),\"\")","v":""},{"$f":"IF($A798<>\"\",IF(ZOZNAM!K789=\"\",\"\",ZOZNAM!K789),\"\")","v":"https://www.bankofengland.co.uk/events/2020/november/modelling-with-big-data-and-machine-learning-measuring-economic-instability"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!L789=\"\",\"\",ZOZNAM!L789),\"\")","v":"The confluence of access to large granular data sources (‘Big Data’) and the rapid advance of modelling techniques like those from machine learning promises new insights into the economy and a larger information set for policymakers. The Bank of England (BoE), the Data Analytics for Finance and Macro (DAFM) Research Centre at King’s College London and the Federal Reserve Board have recently initiated a series of annual scientific conferences to discuss these advances and how they pertain to Measuring Economic Instability.\n\nThe Coronavirus pandemic and the widespread economic downturn in the wake of the resulting ‘lockdown’ in many countries have spurred an unprecedented output of research in multiple disciplines. This research is serving as a vital guide to policymakers in governments, central banks and international institutions around the globe as events unfold. Crucial roles in this information gathering and evaluation process are played by novel high-frequency and low-latency data sources, as well as non-conventional modelling techniques like machine learning, artificial intelligence, and interdisciplinary approaches such as those from epidemiology and economics. The conference aims to provide an opportunity to discuss recent scientific advances, especially with a focus on aiming at quantifying potentially rapid economic fluctuations, and to connect policy makers and academia.\n\nWe invite you to submit empirical, methodological or theoretical work leveraging on new granular data sources or exploring recent analytical development relevant to decision making. We note that submissions do not have to be explicitly about Covid-19 but should be relevant for the assessment of large economic and financial shocks, ideally applicable in the current situation. "},{"$f":"IF($A798<>\"\",IF(ZOZNAM!M789=\"\",\"\",ZOZNAM!M789),\"\")","v":""},{"$f":"IF($A798<>\"\",IF(ZOZNAM!N789=\"\",\"\",ZOZNAM!N789),\"\")","v":"nie"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!O789=\"\",\"\",ZOZNAM!O789),\"\")","v":"nie"},{"$f":"IF($A798<>\"\",IF(ZOZNAM!P789=\"\",\"\",ZOZNAM!P789),\"\")","v":""},{"$f":"IF($A798<>\"\",IF(ZOZNAM!Q789=\"\",\"\",ZOZNAM!Q789),\"\")","v":""},{"$f":"IF($A798<>\"\",IF(ZOZNAM!R789=\"\",\"\",ZOZNAM!R789),\"\")","v":""},{"$f":"IF($A798<>\"\",IF(ZOZNAM!S789=\"\",\"\",ZOZNAM!S789),\"\")","v":""},{"$f":"IF($A798<>\"\",IF(ZOZNAM!T789=\"\",\"\",ZOZNAM!T789),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C790)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C790)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C790)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C790)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C790)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C790)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L790)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L790)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L790)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L790)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L790)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L790)),FALSE))),ZOZNAM!G790>=$C$9),ZOZNAM!A790,\"\")","v":"BE005"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!B790=\"\",\"\",ZOZNAM!B790),\"\")","v":"Bank of England"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!C790=\"\",\"\",ZOZNAM!C790),\"\")","v":"6th BdF-BoE International Macroeconomics Workshop: Micro and Macro in International Finance"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!D790=\"\",\"\",ZOZNAM!D790),\"\")","v":"Online"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!E790=\"\",\"\",ZOZNAM!E790),\"\")","v":1},{"$f":"IF($A799<>\"\",IF(ZOZNAM!F790=\"\",\"\",ZOZNAM!F790),\"\")","v":1},{"$f":"IF($A799<>\"\",IF(ZOZNAM!G790=\"\",\"\",ZOZNAM!G790),\"\")","v":"2020-12-03"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!H790=\"\",\"\",ZOZNAM!H790),\"\")","v":"2020-12-03"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!I790=\"\",\"\",ZOZNAM!I790),\"\")","v":"0 EUR"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!J790=\"\",\"\",ZOZNAM!J790),\"\")","v":""},{"$f":"IF($A799<>\"\",IF(ZOZNAM!K790=\"\",\"\",ZOZNAM!K790),\"\")","v":"https://www.bankofengland.co.uk/events/2020/december/6-bdf-boe-international-macroeconomics-workshop"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!L790=\"\",\"\",ZOZNAM!L790),\"\")","v":"The International Directorate of the Bank of England and the International Macroeconomics Division of the Banque de France are organizing a joint workshop on 3 December 2020 on “Micro and macro in international finance”. Liliana Varela (LSE) has accepted to give the keynote lecture.\n\nWhile the workshop is planned to take place in London at the Bank of England, the presumption is that the workshop will take place virtually due to the current health crisis.\n\nWe invite theoretical and empirical research covering any aspect of international finance, but with particular emphasis on the use of micro data to answer macro questions.\n\nTopics of special interest include (but are not restricted to):\n\nBank vs non-bank finance\nFirm balance sheet channels\nCapital flows and misallocation\nForeign exchange exposure and hedging\nHeterogeneous effects of capital flows on investment\nThe effects of Covid on firms’ funding needs\nThe effects of Covid on international credit supply\nCapital flows, asset prices and macroeconomic dynamics"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!M790=\"\",\"\",ZOZNAM!M790),\"\")","v":""},{"$f":"IF($A799<>\"\",IF(ZOZNAM!N790=\"\",\"\",ZOZNAM!N790),\"\")","v":"nie"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!O790=\"\",\"\",ZOZNAM!O790),\"\")","v":"nie"},{"$f":"IF($A799<>\"\",IF(ZOZNAM!P790=\"\",\"\",ZOZNAM!P790),\"\")","v":""},{"$f":"IF($A799<>\"\",IF(ZOZNAM!Q790=\"\",\"\",ZOZNAM!Q790),\"\")","v":""},{"$f":"IF($A799<>\"\",IF(ZOZNAM!R790=\"\",\"\",ZOZNAM!R790),\"\")","v":""},{"$f":"IF($A799<>\"\",IF(ZOZNAM!S790=\"\",\"\",ZOZNAM!S790),\"\")","v":""},{"$f":"IF($A799<>\"\",IF(ZOZNAM!T790=\"\",\"\",ZOZNAM!T790),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C791)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C791)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C791)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C791)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C791)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C791)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L791)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L791)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L791)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L791)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L791)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L791)),FALSE))),ZOZNAM!G791>=$C$9),ZOZNAM!A791,\"\")","v":"BE006"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!B791=\"\",\"\",ZOZNAM!B791),\"\")","v":"Bank of England"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!C791=\"\",\"\",ZOZNAM!C791),\"\")","v":"Macro-finance workshop 2021"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!D791=\"\",\"\",ZOZNAM!D791),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!E791=\"\",\"\",ZOZNAM!E791),\"\")","v":2},{"$f":"IF($A800<>\"\",IF(ZOZNAM!F791=\"\",\"\",ZOZNAM!F791),\"\")","v":2},{"$f":"IF($A800<>\"\",IF(ZOZNAM!G791=\"\",\"\",ZOZNAM!G791),\"\")","v":"2021-05-27"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!H791=\"\",\"\",ZOZNAM!H791),\"\")","v":"2021-05-28"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!I791=\"\",\"\",ZOZNAM!I791),\"\")","v":"0 EUR"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!J791=\"\",\"\",ZOZNAM!J791),\"\")","v":""},{"$f":"IF($A800<>\"\",IF(ZOZNAM!K791=\"\",\"\",ZOZNAM!K791),\"\")","v":"https://www.bankofengland.co.uk/events/2021/may/macro-finance-workshop-2021"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!L791=\"\",\"\",ZOZNAM!L791),\"\")","v":"The aim of this workshop is to invite Academics and central bankers from all around the world to present the frontiers of research in macro-finance. The workshop is organized by the Centre for Central Bank Studies (BoE) together with the MacCaLM Project (University of Edinburgh).\nThe 2021 programme will be coming soon."},{"$f":"IF($A800<>\"\",IF(ZOZNAM!M791=\"\",\"\",ZOZNAM!M791),\"\")","v":""},{"$f":"IF($A800<>\"\",IF(ZOZNAM!N791=\"\",\"\",ZOZNAM!N791),\"\")","v":"nie"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!O791=\"\",\"\",ZOZNAM!O791),\"\")","v":"nie"},{"$f":"IF($A800<>\"\",IF(ZOZNAM!P791=\"\",\"\",ZOZNAM!P791),\"\")","v":""},{"$f":"IF($A800<>\"\",IF(ZOZNAM!Q791=\"\",\"\",ZOZNAM!Q791),\"\")","v":""},{"$f":"IF($A800<>\"\",IF(ZOZNAM!R791=\"\",\"\",ZOZNAM!R791),\"\")","v":""},{"$f":"IF($A800<>\"\",IF(ZOZNAM!S791=\"\",\"\",ZOZNAM!S791),\"\")","v":""},{"$f":"IF($A800<>\"\",IF(ZOZNAM!T791=\"\",\"\",ZOZNAM!T791),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C792)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C792)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C792)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C792)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C792)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C792)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L792)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L792)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L792)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L792)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L792)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L792)),FALSE))),ZOZNAM!G792>=$C$9),ZOZNAM!A792,\"\")","v":"BS001"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!B792=\"\",\"\",ZOZNAM!B792),\"\")","v":"Behörden Spiegel"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!C792=\"\",\"\",ZOZNAM!C792),\"\")","v":"Berlin Security Conference"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!D792=\"\",\"\",ZOZNAM!D792),\"\")","v":"Berlín, Nemecko"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!E792=\"\",\"\",ZOZNAM!E792),\"\")","v":2},{"$f":"IF($A801<>\"\",IF(ZOZNAM!F792=\"\",\"\",ZOZNAM!F792),\"\")","v":2},{"$f":"IF($A801<>\"\",IF(ZOZNAM!G792=\"\",\"\",ZOZNAM!G792),\"\")","v":"2020-11-24"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!H792=\"\",\"\",ZOZNAM!H792),\"\")","v":"2020-11-25"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!I792=\"\",\"\",ZOZNAM!I792),\"\")","v":"80 EUR"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!J792=\"\",\"\",ZOZNAM!J792),\"\")","v":""},{"$f":"IF($A801<>\"\",IF(ZOZNAM!K792=\"\",\"\",ZOZNAM!K792),\"\")","v":"https://www.euro-defence.eu/"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!L792=\"\",\"\",ZOZNAM!L792),\"\")","v":"The congress and exhibition, held every autumn since 2001 in Berlin, draw about 1 200 participants from European and non-European countries, the European institutions, and NATO. The 19th Berlin Security Conference will take place at the Vienna House Andel’s Berlin on 24 and 25 November 2020.\nBerlin Security Conference at a glance:\nInternational forum for security and defence\nGathering of political and military decision-makers\nParticipants from armed forces and security organisations\nKeynote speeches by Ministers / State Secretaries, EU Commissioners and business leaders\nMain programme with international political, military and business leaders\nPanel sessions with international experts\nExhibition with leading systems solutions manufacturers\nMedia coverage by the print press, radio and television\nCongress languages English and German"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!M792=\"\",\"\",ZOZNAM!M792),\"\")","v":""},{"$f":"IF($A801<>\"\",IF(ZOZNAM!N792=\"\",\"\",ZOZNAM!N792),\"\")","v":"nie"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!O792=\"\",\"\",ZOZNAM!O792),\"\")","v":"nie"},{"$f":"IF($A801<>\"\",IF(ZOZNAM!P792=\"\",\"\",ZOZNAM!P792),\"\")","v":""},{"$f":"IF($A801<>\"\",IF(ZOZNAM!Q792=\"\",\"\",ZOZNAM!Q792),\"\")","v":""},{"$f":"IF($A801<>\"\",IF(ZOZNAM!R792=\"\",\"\",ZOZNAM!R792),\"\")","v":""},{"$f":"IF($A801<>\"\",IF(ZOZNAM!S792=\"\",\"\",ZOZNAM!S792),\"\")","v":""},{"$f":"IF($A801<>\"\",IF(ZOZNAM!T792=\"\",\"\",ZOZNAM!T792),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C793)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C793)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C793)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C793)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C793)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C793)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L793)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L793)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L793)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L793)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L793)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L793)),FALSE))),ZOZNAM!G793>=$C$9),ZOZNAM!A793,\"\")","v":"CM005"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!B793=\"\",\"\",ZOZNAM!B793),\"\")","v":"Cemmap"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!C793=\"\",\"\",ZOZNAM!C793),\"\")","v":"The Econometrics of Market Microstructure and Optimal Contracting"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!D793=\"\",\"\",ZOZNAM!D793),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!E793=\"\",\"\",ZOZNAM!E793),\"\")","v":2},{"$f":"IF($A802<>\"\",IF(ZOZNAM!F793=\"\",\"\",ZOZNAM!F793),\"\")","v":2},{"$f":"IF($A802<>\"\",IF(ZOZNAM!G793=\"\",\"\",ZOZNAM!G793),\"\")","v":"2021-03-08"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!H793=\"\",\"\",ZOZNAM!H793),\"\")","v":"2021-03-09"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!I793=\"\",\"\",ZOZNAM!I793),\"\")","v":"240 GBP (266 EUR)"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!J793=\"\",\"\",ZOZNAM!J793),\"\")","v":""},{"$f":"IF($A802<>\"\",IF(ZOZNAM!K793=\"\",\"\",ZOZNAM!K793),\"\")","v":"https://www.cemmap.ac.uk/event/id/1766"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!L793=\"\",\"\",ZOZNAM!L793),\"\")","v":"This course analyzes identification and estimation in models of market microstructure and optimal contracting, with one eye on future reseach. It covers applications in labor supply, managerial compensation, procurement contracts and nonlinear pricing. To convey a sense of the problems planners face course participants will also play each other in several real time experiments.\n\n\nOur point of departure is to exploit a well-known equivalence between a social planner’s problem and a competitive equilibrium with complete markets as the basis for estimation."},{"$f":"IF($A802<>\"\",IF(ZOZNAM!M793=\"\",\"\",ZOZNAM!M793),\"\")","v":""},{"$f":"IF($A802<>\"\",IF(ZOZNAM!N793=\"\",\"\",ZOZNAM!N793),\"\")","v":"nie"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!O793=\"\",\"\",ZOZNAM!O793),\"\")","v":"nie"},{"$f":"IF($A802<>\"\",IF(ZOZNAM!P793=\"\",\"\",ZOZNAM!P793),\"\")","v":""},{"$f":"IF($A802<>\"\",IF(ZOZNAM!Q793=\"\",\"\",ZOZNAM!Q793),\"\")","v":""},{"$f":"IF($A802<>\"\",IF(ZOZNAM!R793=\"\",\"\",ZOZNAM!R793),\"\")","v":""},{"$f":"IF($A802<>\"\",IF(ZOZNAM!S793=\"\",\"\",ZOZNAM!S793),\"\")","v":""},{"$f":"IF($A802<>\"\",IF(ZOZNAM!T793=\"\",\"\",ZOZNAM!T793),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C794)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C794)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C794)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C794)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C794)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C794)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L794)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L794)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L794)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L794)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L794)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L794)),FALSE))),ZOZNAM!G794>=$C$9),ZOZNAM!A794,\"\")","v":"CM006"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!B794=\"\",\"\",ZOZNAM!B794),\"\")","v":"Cemmap"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!C794=\"\",\"\",ZOZNAM!C794),\"\")","v":"Missing Data in Longitudinal and Linked Surveys"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!D794=\"\",\"\",ZOZNAM!D794),\"\")","v":"Online"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!E794=\"\",\"\",ZOZNAM!E794),\"\")","v":1},{"$f":"IF($A803<>\"\",IF(ZOZNAM!F794=\"\",\"\",ZOZNAM!F794),\"\")","v":1},{"$f":"IF($A803<>\"\",IF(ZOZNAM!G794=\"\",\"\",ZOZNAM!G794),\"\")","v":"2020-09-18"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!H794=\"\",\"\",ZOZNAM!H794),\"\")","v":"2020-09-18"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!I794=\"\",\"\",ZOZNAM!I794),\"\")","v":"0 EUR"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!J794=\"\",\"\",ZOZNAM!J794),\"\")","v":""},{"$f":"IF($A803<>\"\",IF(ZOZNAM!K794=\"\",\"\",ZOZNAM!K794),\"\")","v":"https://www.cemmap.ac.uk/event/id/1804"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!L794=\"\",\"\",ZOZNAM!L794),\"\")","v":"This workshop brings together statisticians, econometricians, survey designers, and data users to discuss new results and open questions in this important research area. The workshop will discuss practical experience in collecting and using panel data, advances in statistical and econometric methods to address missing data problems, and applications of these methods to important research questions. "},{"$f":"IF($A803<>\"\",IF(ZOZNAM!M794=\"\",\"\",ZOZNAM!M794),\"\")","v":""},{"$f":"IF($A803<>\"\",IF(ZOZNAM!N794=\"\",\"\",ZOZNAM!N794),\"\")","v":"nie"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!O794=\"\",\"\",ZOZNAM!O794),\"\")","v":"nie"},{"$f":"IF($A803<>\"\",IF(ZOZNAM!P794=\"\",\"\",ZOZNAM!P794),\"\")","v":""},{"$f":"IF($A803<>\"\",IF(ZOZNAM!Q794=\"\",\"\",ZOZNAM!Q794),\"\")","v":""},{"$f":"IF($A803<>\"\",IF(ZOZNAM!R794=\"\",\"\",ZOZNAM!R794),\"\")","v":""},{"$f":"IF($A803<>\"\",IF(ZOZNAM!S794=\"\",\"\",ZOZNAM!S794),\"\")","v":""},{"$f":"IF($A803<>\"\",IF(ZOZNAM!T794=\"\",\"\",ZOZNAM!T794),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C795)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C795)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C795)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C795)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C795)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C795)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L795)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L795)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L795)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L795)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L795)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L795)),FALSE))),ZOZNAM!G795>=$C$9),ZOZNAM!A795,\"\")","v":"EU302"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!B795=\"\",\"\",ZOZNAM!B795),\"\")","v":"European Institute of Public Administration (EIPA)"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!C795=\"\",\"\",ZOZNAM!C795),\"\")","v":"Combining EU Cohesion Policy Grants and Loans with EFSI and InvestEU Instruments"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!D795=\"\",\"\",ZOZNAM!D795),\"\")","v":"Online"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!E795=\"\",\"\",ZOZNAM!E795),\"\")","v":3},{"$f":"IF($A804<>\"\",IF(ZOZNAM!F795=\"\",\"\",ZOZNAM!F795),\"\")","v":3},{"$f":"IF($A804<>\"\",IF(ZOZNAM!G795=\"\",\"\",ZOZNAM!G795),\"\")","v":"2020-10-07"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!H795=\"\",\"\",ZOZNAM!H795),\"\")","v":"2020-10-09"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!I795=\"\",\"\",ZOZNAM!I795),\"\")","v":"700 EUR"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!J795=\"\",\"\",ZOZNAM!J795),\"\")","v":"2020-09-28"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!K795=\"\",\"\",ZOZNAM!K795),\"\")","v":"https://www.eipa.eu/product/combining-eu-structural-and-investment-funds/"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!L795=\"\",\"\",ZOZNAM!L795),\"\")","v":"This 3-morning online course examines the mixing of EU grant funding with loan funding, guarantees and other financial instruments. In particular, we will describe how Structural Funds and the Cohesion Fund can currently be used alongside the EFSI instrument, the European Fund for Strategic Investment, or InvestEU in the next programming period.\n\nEFSI (part of the “Juncker Plan”), working with regular EIB loans, exists to lever private funding into projects with a higher degree of risk. An EIB official will describe how EFSI works and how the funding can be accessed – how it is structured and managed, and in what circumstances can it be used. Examples from around the EU will be presented.\n\nWith the help of two highly experienced EC officials, we will examine:\n\nthe increasing role that Financial Instruments are playing within EU Cohesion Policy\nhow ESI Funds are being used in the implementation of major projects\nhow Member States should approach the new InvestEU instrument and how to complete Annex V of the new draft CPR"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!M795=\"\",\"\",ZOZNAM!M795),\"\")","v":""},{"$f":"IF($A804<>\"\",IF(ZOZNAM!N795=\"\",\"\",ZOZNAM!N795),\"\")","v":"nie"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!O795=\"\",\"\",ZOZNAM!O795),\"\")","v":"nie"},{"$f":"IF($A804<>\"\",IF(ZOZNAM!P795=\"\",\"\",ZOZNAM!P795),\"\")","v":2},{"$f":"IF($A804<>\"\",IF(ZOZNAM!Q795=\"\",\"\",ZOZNAM!Q795),\"\")","v":""},{"$f":"IF($A804<>\"\",IF(ZOZNAM!R795=\"\",\"\",ZOZNAM!R795),\"\")","v":""},{"$f":"IF($A804<>\"\",IF(ZOZNAM!S795=\"\",\"\",ZOZNAM!S795),\"\")","v":""},{"$f":"IF($A804<>\"\",IF(ZOZNAM!T795=\"\",\"\",ZOZNAM!T795),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C796)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C796)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C796)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C796)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C796)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C796)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L796)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L796)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L796)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L796)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L796)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L796)),FALSE))),ZOZNAM!G796>=$C$9),ZOZNAM!A796,\"\")","v":"ED001"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!B796=\"\",\"\",ZOZNAM!B796),\"\")","v":"European Security and Defence College"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!C796=\"\",\"\",ZOZNAM!C796),\"\")","v":"Comprehensive Protection of Civilians (PoC) Course"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!D796=\"\",\"\",ZOZNAM!D796),\"\")","v":"Viedeň, Rakúsko"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!E796=\"\",\"\",ZOZNAM!E796),\"\")","v":4},{"$f":"IF($A805<>\"\",IF(ZOZNAM!F796=\"\",\"\",ZOZNAM!F796),\"\")","v":6},{"$f":"IF($A805<>\"\",IF(ZOZNAM!G796=\"\",\"\",ZOZNAM!G796),\"\")","v":"2020-11-15"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!H796=\"\",\"\",ZOZNAM!H796),\"\")","v":"2020-11-20"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!I796=\"\",\"\",ZOZNAM!I796),\"\")","v":"0 EUR"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!J796=\"\",\"\",ZOZNAM!J796),\"\")","v":"2020-09-25"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!K796=\"\",\"\",ZOZNAM!K796),\"\")","v":"https://esdc.europa.eu/enlistapi/Invitation%20for%20Applications%20CPOC%20II%202020%20and%20additional%20information-compressed.pdf"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!L796=\"\",\"\",ZOZNAM!L796),\"\")","v":"The content of this training course reflects a broad interpretation of protection, which goes beyond the provision of protection from physical violence but also includes the creation of larger protective environments and the implementatio of activities which enhance the rights of individuals in accordance with international humanitarian law, human rights and refugee law. The six-day training course prepares senior decision-makers of armed forces, police, political bodies and nongovernmental organizations, as well as individual civilian experts involved in peacekeeping and/or international crisis management at the operational level for the challenges in protecting civilian populations in contexts of armed conflict. "},{"$f":"IF($A805<>\"\",IF(ZOZNAM!M796=\"\",\"\",ZOZNAM!M796),\"\")","v":"Participants are required to complete selected eLearning modules in the preparatory phase preceding the residential part of this course. The timely completion of these eLearning modules is a precondition for receiving the course certificate. "},{"$f":"IF($A805<>\"\",IF(ZOZNAM!N796=\"\",\"\",ZOZNAM!N796),\"\")","v":"nie"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!O796=\"\",\"\",ZOZNAM!O796),\"\")","v":"nie"},{"$f":"IF($A805<>\"\",IF(ZOZNAM!P796=\"\",\"\",ZOZNAM!P796),\"\")","v":""},{"$f":"IF($A805<>\"\",IF(ZOZNAM!Q796=\"\",\"\",ZOZNAM!Q796),\"\")","v":""},{"$f":"IF($A805<>\"\",IF(ZOZNAM!R796=\"\",\"\",ZOZNAM!R796),\"\")","v":""},{"$f":"IF($A805<>\"\",IF(ZOZNAM!S796=\"\",\"\",ZOZNAM!S796),\"\")","v":""},{"$f":"IF($A805<>\"\",IF(ZOZNAM!T796=\"\",\"\",ZOZNAM!T796),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C797)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C797)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C797)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C797)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C797)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C797)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L797)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L797)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L797)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L797)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L797)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L797)),FALSE))),ZOZNAM!G797>=$C$9),ZOZNAM!A797,\"\")","v":"ED003"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!B797=\"\",\"\",ZOZNAM!B797),\"\")","v":"European Security and Defence College"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!C797=\"\",\"\",ZOZNAM!C797),\"\")","v":"Recovery and Stabilisation Strategies"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!D797=\"\",\"\",ZOZNAM!D797),\"\")","v":"Viedeň, Rakúsko"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!E797=\"\",\"\",ZOZNAM!E797),\"\")","v":4},{"$f":"IF($A806<>\"\",IF(ZOZNAM!F797=\"\",\"\",ZOZNAM!F797),\"\")","v":4},{"$f":"IF($A806<>\"\",IF(ZOZNAM!G797=\"\",\"\",ZOZNAM!G797),\"\")","v":"2020-10-27"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!H797=\"\",\"\",ZOZNAM!H797),\"\")","v":"2020-10-30"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!I797=\"\",\"\",ZOZNAM!I797),\"\")","v":"40 EUR"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!J797=\"\",\"\",ZOZNAM!J797),\"\")","v":"2020-08-15"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!K797=\"\",\"\",ZOZNAM!K797),\"\")","v":"https://esdc.europa.eu/enlistapi/1%20Invitation%20for%20Applications%20and%20Information%20RSS%202020%20ESDC.pdf"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!L797=\"\",\"\",ZOZNAM!L797),\"\")","v":"The course reviews the comprehensive policies of key stakeholder organizations of international peace operations, analyses challanges, shortfalls and best practices in view of long-term stabilisation and recovery processes and provides new inspiration from peer to peer exchanges and networking. This year the course will have a special focus accordingly and address the reôated challenges for gender sensitive considerations in recovery processes and highlight the potential of women for contributing to peace and security. Specific case studies and policy considerations will be discussed with senior experts during an entire day of the course. "},{"$f":"IF($A806<>\"\",IF(ZOZNAM!M797=\"\",\"\",ZOZNAM!M797),\"\")","v":"Participants are expected to be senior professionals and have significant expertise in their respective areas of prefessional competence related to post-conflict recovery and stabilisation. Obed v cene poplatku za kurz."},{"$f":"IF($A806<>\"\",IF(ZOZNAM!N797=\"\",\"\",ZOZNAM!N797),\"\")","v":"nie"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!O797=\"\",\"\",ZOZNAM!O797),\"\")","v":"nie"},{"$f":"IF($A806<>\"\",IF(ZOZNAM!P797=\"\",\"\",ZOZNAM!P797),\"\")","v":""},{"$f":"IF($A806<>\"\",IF(ZOZNAM!Q797=\"\",\"\",ZOZNAM!Q797),\"\")","v":""},{"$f":"IF($A806<>\"\",IF(ZOZNAM!R797=\"\",\"\",ZOZNAM!R797),\"\")","v":""},{"$f":"IF($A806<>\"\",IF(ZOZNAM!S797=\"\",\"\",ZOZNAM!S797),\"\")","v":""},{"$f":"IF($A806<>\"\",IF(ZOZNAM!T797=\"\",\"\",ZOZNAM!T797),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C798)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C798)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C798)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C798)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C798)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C798)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L798)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L798)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L798)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L798)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L798)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L798)),FALSE))),ZOZNAM!G798>=$C$9),ZOZNAM!A798,\"\")","v":"ED006"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!B798=\"\",\"\",ZOZNAM!B798),\"\")","v":"European Security and Defence College"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!C798=\"\",\"\",ZOZNAM!C798),\"\")","v":"“Climate Change and Security"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!D798=\"\",\"\",ZOZNAM!D798),\"\")","v":"Brusel, Belgicko"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!E798=\"\",\"\",ZOZNAM!E798),\"\")","v":3},{"$f":"IF($A807<>\"\",IF(ZOZNAM!F798=\"\",\"\",ZOZNAM!F798),\"\")","v":3},{"$f":"IF($A807<>\"\",IF(ZOZNAM!G798=\"\",\"\",ZOZNAM!G798),\"\")","v":"2020-10-06"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!H798=\"\",\"\",ZOZNAM!H798),\"\")","v":"2020-10-08"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!I798=\"\",\"\",ZOZNAM!I798),\"\")","v":"0 EUR"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!J798=\"\",\"\",ZOZNAM!J798),\"\")","v":"2020-09-10"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!K798=\"\",\"\",ZOZNAM!K798),\"\")","v":"https://esdc.europa.eu/enlistapi/ESDC_Climate%20Change%20and%20Security_Invitation_DRAFT-merged-compressed.pdf"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!L798=\"\",\"\",ZOZNAM!L798),\"\")","v":"To this end, the interactive training seminar will increase participants’ understanding of : global\nclimate change scenarios and the risks these imply for peace and international security ; key\ninternational and European actors, policies and critical debates in the climate change and\nsecurity context, especially as regards the UN Security Council ; the concepts of compound\nclimate-fragility risks and integrated action for resilience-building, how they link to conflict\nprevention, and what this implies for EU external action, peace operations and CSDP\noperations ; the adaptation of our armed forces to climate change, with new missions and a\ngreener defence model ; climate-fragility risks with a case study ; and how to account for\nclimate-fragility risks in the day-to-day work of EU and Member state institutions and services."},{"$f":"IF($A807<>\"\",IF(ZOZNAM!M798=\"\",\"\",ZOZNAM!M798),\"\")","v":"An online backup will be considered depending on\nthe travel restrictions. The decision will be taken at the end of August\nAttendance of the course is mandatory on each day. A certificate will be awarded to those\ncourse participants who have completed the full course, including the IDL phase. "},{"$f":"IF($A807<>\"\",IF(ZOZNAM!N798=\"\",\"\",ZOZNAM!N798),\"\")","v":"nie"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!O798=\"\",\"\",ZOZNAM!O798),\"\")","v":"nie"},{"$f":"IF($A807<>\"\",IF(ZOZNAM!P798=\"\",\"\",ZOZNAM!P798),\"\")","v":""},{"$f":"IF($A807<>\"\",IF(ZOZNAM!Q798=\"\",\"\",ZOZNAM!Q798),\"\")","v":""},{"$f":"IF($A807<>\"\",IF(ZOZNAM!R798=\"\",\"\",ZOZNAM!R798),\"\")","v":""},{"$f":"IF($A807<>\"\",IF(ZOZNAM!S798=\"\",\"\",ZOZNAM!S798),\"\")","v":""},{"$f":"IF($A807<>\"\",IF(ZOZNAM!T798=\"\",\"\",ZOZNAM!T798),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C799)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C799)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C799)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C799)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C799)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C799)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L799)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L799)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L799)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L799)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L799)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L799)),FALSE))),ZOZNAM!G799>=$C$9),ZOZNAM!A799,\"\")","v":"ED007"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!B799=\"\",\"\",ZOZNAM!B799),\"\")","v":"European Security and Defence College"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!C799=\"\",\"\",ZOZNAM!C799),\"\")","v":"CRITICAL INFRASTRUCTURES IN THE CONTEXT OF DIGITIZATION"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!D799=\"\",\"\",ZOZNAM!D799),\"\")","v":"Viedeň, Rakúsko"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!E799=\"\",\"\",ZOZNAM!E799),\"\")","v":3},{"$f":"IF($A808<>\"\",IF(ZOZNAM!F799=\"\",\"\",ZOZNAM!F799),\"\")","v":3},{"$f":"IF($A808<>\"\",IF(ZOZNAM!G799=\"\",\"\",ZOZNAM!G799),\"\")","v":"2020-09-23"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!H799=\"\",\"\",ZOZNAM!H799),\"\")","v":"2020-09-25"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!I799=\"\",\"\",ZOZNAM!I799),\"\")","v":"0 EUR"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!J799=\"\",\"\",ZOZNAM!J799),\"\")","v":""},{"$f":"IF($A808<>\"\",IF(ZOZNAM!K799=\"\",\"\",ZOZNAM!K799),\"\")","v":"https://esdc.europa.eu/enlistapi/Invitation%20Letter%20CICD%20COURSE%202020%20signed.pdf"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!L799=\"\",\"\",ZOZNAM!L799),\"\")","v":"The objective of this three-day course is to provide participants with an overview on cyber\nsecurity challenges and mitigation strategies of critical infrastructures as of today as well as\nthe threats and challenges of the future. In this course you will get an overview on Critical\nInfrastructure and Associated Computer-based Systems, on Strategies for Protecting Critical\nInformation Infrastructure against Cyber-attack as well as on New Threats to CI and\nmitigation approaches. In addition, we will provide you with ideas on Risk Management at\nthe National and/or Regional Level and how to model cascading effects and\ninterdependencies between CIs within a specific geographical area. "},{"$f":"IF($A808<>\"\",IF(ZOZNAM!M799=\"\",\"\",ZOZNAM!M799),\"\")","v":""},{"$f":"IF($A808<>\"\",IF(ZOZNAM!N799=\"\",\"\",ZOZNAM!N799),\"\")","v":"nie"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!O799=\"\",\"\",ZOZNAM!O799),\"\")","v":"nie"},{"$f":"IF($A808<>\"\",IF(ZOZNAM!P799=\"\",\"\",ZOZNAM!P799),\"\")","v":""},{"$f":"IF($A808<>\"\",IF(ZOZNAM!Q799=\"\",\"\",ZOZNAM!Q799),\"\")","v":""},{"$f":"IF($A808<>\"\",IF(ZOZNAM!R799=\"\",\"\",ZOZNAM!R799),\"\")","v":""},{"$f":"IF($A808<>\"\",IF(ZOZNAM!S799=\"\",\"\",ZOZNAM!S799),\"\")","v":""},{"$f":"IF($A808<>\"\",IF(ZOZNAM!T799=\"\",\"\",ZOZNAM!T799),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C800)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C800)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C800)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C800)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C800)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C800)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L800)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L800)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L800)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L800)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L800)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L800)),FALSE))),ZOZNAM!G800>=$C$9),ZOZNAM!A800,\"\")","v":"GE230"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!B800=\"\",\"\",ZOZNAM!B800),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!C800=\"\",\"\",ZOZNAM!C800),\"\")","v":"Sequence Analysis in the Social Sciences (Online-Workshop!)"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!D800=\"\",\"\",ZOZNAM!D800),\"\")","v":"Online"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!E800=\"\",\"\",ZOZNAM!E800),\"\")","v":3},{"$f":"IF($A809<>\"\",IF(ZOZNAM!F800=\"\",\"\",ZOZNAM!F800),\"\")","v":3},{"$f":"IF($A809<>\"\",IF(ZOZNAM!G800=\"\",\"\",ZOZNAM!G800),\"\")","v":"2020-09-21"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!H800=\"\",\"\",ZOZNAM!H800),\"\")","v":"2020-09-23"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!I800=\"\",\"\",ZOZNAM!I800),\"\")","v":"360 EUR"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!J800=\"\",\"\",ZOZNAM!J800),\"\")","v":""},{"$f":"IF($A809<>\"\",IF(ZOZNAM!K800=\"\",\"\",ZOZNAM!K800),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x32B335B36D744C62B190D5416A78C45D"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!L800=\"\",\"\",ZOZNAM!L800),\"\")","v":"This workshop introduces sequence analysis for social science research. Sequence analysis, originally developed in biology to analyze strings of DNA, has attracted increasing attention in the social sciences for the analysis of longitudinal data. Most applications study life course processes, including labor market careers, transitions to adulthood, or family formation. This workshop covers longitudinal data management (only briefly; with Stata), basic techniques of sequence analysis (with Stata, but mainly with R), as well as recent methodological developments tailored at social science research questions. Topics include different ways of calculating distances between sequences, cluster analysis after sequence analysis, sequences visualization, techniques for analyzing sequences' multidimensionality and the association between sequences' unfolding over time and independent variables. All methods are demonstrated with hands-on examples using Stata (SQ package, for data preparation and basic sequence analysis) and R (TraMineR package)."},{"$f":"IF($A809<>\"\",IF(ZOZNAM!M800=\"\",\"\",ZOZNAM!M800),\"\")","v":"Participants are expected to have some basic knowledge in preparing handling (longitudinal) data in Stata or R and to be familiar with basic quantitative methods (e.g., regression analysis)."},{"$f":"IF($A809<>\"\",IF(ZOZNAM!N800=\"\",\"\",ZOZNAM!N800),\"\")","v":"nie"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!O800=\"\",\"\",ZOZNAM!O800),\"\")","v":"nie"},{"$f":"IF($A809<>\"\",IF(ZOZNAM!P800=\"\",\"\",ZOZNAM!P800),\"\")","v":2.5},{"$f":"IF($A809<>\"\",IF(ZOZNAM!Q800=\"\",\"\",ZOZNAM!Q800),\"\")","v":""},{"$f":"IF($A809<>\"\",IF(ZOZNAM!R800=\"\",\"\",ZOZNAM!R800),\"\")","v":""},{"$f":"IF($A809<>\"\",IF(ZOZNAM!S800=\"\",\"\",ZOZNAM!S800),\"\")","v":""},{"$f":"IF($A809<>\"\",IF(ZOZNAM!T800=\"\",\"\",ZOZNAM!T800),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C801)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C801)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C801)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C801)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C801)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C801)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L801)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L801)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L801)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L801)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L801)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L801)),FALSE))),ZOZNAM!G801>=$C$9),ZOZNAM!A801,\"\")","v":"GE231"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!B801=\"\",\"\",ZOZNAM!B801),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!C801=\"\",\"\",ZOZNAM!C801),\"\")","v":"Introduction to the analysis of structural equation models for cross-sectional data"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!D801=\"\",\"\",ZOZNAM!D801),\"\")","v":"Online"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!E801=\"\",\"\",ZOZNAM!E801),\"\")","v":2},{"$f":"IF($A810<>\"\",IF(ZOZNAM!F801=\"\",\"\",ZOZNAM!F801),\"\")","v":2},{"$f":"IF($A810<>\"\",IF(ZOZNAM!G801=\"\",\"\",ZOZNAM!G801),\"\")","v":"2020-09-28"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!H801=\"\",\"\",ZOZNAM!H801),\"\")","v":"2020-09-29"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!I801=\"\",\"\",ZOZNAM!I801),\"\")","v":"180 EUR"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!J801=\"\",\"\",ZOZNAM!J801),\"\")","v":""},{"$f":"IF($A810<>\"\",IF(ZOZNAM!K801=\"\",\"\",ZOZNAM!K801),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x0DC029F705BD4657A3B526F4531854DD"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!L801=\"\",\"\",ZOZNAM!L801),\"\")","v":"Translation history will soon only be available when you are signed in and will be centrally managed within My Activity. Past history will be cleared during this upgrade, so make sure to save translations you want to remember for ease of access later.\nGot it\nSozialwissenschaftliche Forschung steht häufig vor dem Problem, dass soziale Phänomene wie z.B. ausländerablehnende Einstellungen nicht direkt beobachtbar sind. Solche latenten Konstrukte müssen daher mittels Messmodellen operationalisiert werden. Die Strukturgleichungsmodellierung (SEM) ist ein Verfahren, mit dessen Hilfe Messmodelle empirisch getestet sowie kausale Zusammenhängen zwischen latenten Variablen überprüft werden können.  \nDer Workshop führt in die Logik der Strukturgleichungsmodellierung ein und verfolgt die anwendungsbezogene empirische Analyse (u.a. mit Daten des Allbus) mit gängiger SEM-Software (v.a. Mplus, aber auch mit Anschauungsbeispielen für R (package lavaan) und AMOS).\nZu den Themen gehören u.a.:\n- Spezifikation und Schätzverfahren\n- Konfirmatorische Faktorenanalyse\n- Pfadanalyse\n- Moderator- und Mediatoreffekte\n- Multigruppenanalyse und Test auf Messäquivalenz\n- Methodische Fallstricke\n- Einführung in SEM-Software\n953/5000\n"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!M801=\"\",\"\",ZOZNAM!M801),\"\")","v":"Kurz v nemeckom jazyku "},{"$f":"IF($A810<>\"\",IF(ZOZNAM!N801=\"\",\"\",ZOZNAM!N801),\"\")","v":"nie"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!O801=\"\",\"\",ZOZNAM!O801),\"\")","v":"nie"},{"$f":"IF($A810<>\"\",IF(ZOZNAM!P801=\"\",\"\",ZOZNAM!P801),\"\")","v":2.5},{"$f":"IF($A810<>\"\",IF(ZOZNAM!Q801=\"\",\"\",ZOZNAM!Q801),\"\")","v":""},{"$f":"IF($A810<>\"\",IF(ZOZNAM!R801=\"\",\"\",ZOZNAM!R801),\"\")","v":""},{"$f":"IF($A810<>\"\",IF(ZOZNAM!S801=\"\",\"\",ZOZNAM!S801),\"\")","v":""},{"$f":"IF($A810<>\"\",IF(ZOZNAM!T801=\"\",\"\",ZOZNAM!T801),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C802)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C802)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C802)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C802)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C802)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C802)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L802)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L802)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L802)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L802)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L802)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L802)),FALSE))),ZOZNAM!G802>=$C$9),ZOZNAM!A802,\"\")","v":"GE232"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!B802=\"\",\"\",ZOZNAM!B802),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!C802=\"\",\"\",ZOZNAM!C802),\"\")","v":"Introduction to Causal Mediation Analysis"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!D802=\"\",\"\",ZOZNAM!D802),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!E802=\"\",\"\",ZOZNAM!E802),\"\")","v":2},{"$f":"IF($A811<>\"\",IF(ZOZNAM!F802=\"\",\"\",ZOZNAM!F802),\"\")","v":2},{"$f":"IF($A811<>\"\",IF(ZOZNAM!G802=\"\",\"\",ZOZNAM!G802),\"\")","v":"2020-10-06"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!H802=\"\",\"\",ZOZNAM!H802),\"\")","v":"2020-10-07"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!I802=\"\",\"\",ZOZNAM!I802),\"\")","v":"960 EUR"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!J802=\"\",\"\",ZOZNAM!J802),\"\")","v":""},{"$f":"IF($A811<>\"\",IF(ZOZNAM!K802=\"\",\"\",ZOZNAM!K802),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB2D995D52FEB4BE9ABC5B7D8E7381268"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!L802=\"\",\"\",ZOZNAM!L802),\"\")","v":"Investigating causal relations often leads to questions regarding the processes and mechanisms underlying a specific effect. Is an effect mediated by another variable? In practice, this question is frequently assessed by analyzing changes in regression coefficients after adding the putative mediator to the model. The modern literature on causal inference demonstrates, however, that this approach yields valid conclusions regarding mediation only under specific assumptions that are rarely made explicit in applied research.\n \nThis course uses graphical causal models and counterfactual definitions of direct and indirect effects to make transparent the conditions under which mediation analysis yields valid conclusions. In addition to the discussion of classic methods for mediation the course also introduces modern regression-based methods and inverse probability weighting. Each section of the course is accompanied by practical exercises, including the estimation of direct and indirect effects in Stata (and R). As the course concludes, interested participants will have the opportunity to present their own mediation analysis and discuss the implications of causal mediation analysis for their own research."},{"$f":"IF($A811<>\"\",IF(ZOZNAM!M802=\"\",\"\",ZOZNAM!M802),\"\")","v":"Participants should have a good working knowledge of descriptive and inductive statistics as well as linear and nonlinear regression (such as logistic regression). Experience with Stata or R will be useful."},{"$f":"IF($A811<>\"\",IF(ZOZNAM!N802=\"\",\"\",ZOZNAM!N802),\"\")","v":"nie"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!O802=\"\",\"\",ZOZNAM!O802),\"\")","v":"nie"},{"$f":"IF($A811<>\"\",IF(ZOZNAM!P802=\"\",\"\",ZOZNAM!P802),\"\")","v":2.5},{"$f":"IF($A811<>\"\",IF(ZOZNAM!Q802=\"\",\"\",ZOZNAM!Q802),\"\")","v":""},{"$f":"IF($A811<>\"\",IF(ZOZNAM!R802=\"\",\"\",ZOZNAM!R802),\"\")","v":""},{"$f":"IF($A811<>\"\",IF(ZOZNAM!S802=\"\",\"\",ZOZNAM!S802),\"\")","v":""},{"$f":"IF($A811<>\"\",IF(ZOZNAM!T802=\"\",\"\",ZOZNAM!T802),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C803)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C803)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C803)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C803)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C803)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C803)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L803)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L803)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L803)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L803)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L803)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L803)),FALSE))),ZOZNAM!G803>=$C$9),ZOZNAM!A803,\"\")","v":"GE233"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!B803=\"\",\"\",ZOZNAM!B803),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!C803=\"\",\"\",ZOZNAM!C803),\"\")","v":"Using Social Media Data for Research: Potentials and Pitfalls"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!D803=\"\",\"\",ZOZNAM!D803),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!E803=\"\",\"\",ZOZNAM!E803),\"\")","v":2},{"$f":"IF($A812<>\"\",IF(ZOZNAM!F803=\"\",\"\",ZOZNAM!F803),\"\")","v":2},{"$f":"IF($A812<>\"\",IF(ZOZNAM!G803=\"\",\"\",ZOZNAM!G803),\"\")","v":"2020-11-09"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!H803=\"\",\"\",ZOZNAM!H803),\"\")","v":"2020-11-10"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!I803=\"\",\"\",ZOZNAM!I803),\"\")","v":"480 EUR"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!J803=\"\",\"\",ZOZNAM!J803),\"\")","v":""},{"$f":"IF($A812<>\"\",IF(ZOZNAM!K803=\"\",\"\",ZOZNAM!K803),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xC74EBBB5912F49988BE6CB9E7EE29C73"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!L803=\"\",\"\",ZOZNAM!L803),\"\")","v":"The activities and interactions of hundreds of millions of people worldwide are recorded as digital traces including social media data. These data offer increasingly comprehensive pictures of both individuals and groups on different platforms, but also allow inferences about broader target populations beyond those platforms. Notwithstanding the many advantages, studying the errors that can occur when digital traces are used to learn about humans and social phenomena is essential. Incidentally, many similar errors also affect survey estimates, which survey designers have been addressing for decades using error conceptualization frameworks, most notably the Total Survey Error Framework (TSE).\nIn this tutorial, we will introduce the audience to the concepts and guidelines of the TSE and how they are applied by survey practitioners in the social sciences, guided by our interdisciplinary background and experience. Having understood the 'total error' perspective towards surveys, we will introduce our own conceptual framework to diagnose, understand, and avoid errors that may occur in studies that are based on digital traces of humans.\nTo help understand the utility of the error framework for digital traces, we apply it to diagnose and document errors in existing computational social science studies such as Understanding Political Opinion using Twitter and Using Search Queries for Inferring Health Statistics.\nWe also ask participants to apply the error framework to hypothetical scenarios utilizing novel forms of digital traces like mobility data as well as their own area of research, using social media datasets openly available on the web."},{"$f":"IF($A812<>\"\",IF(ZOZNAM!M803=\"\",\"\",ZOZNAM!M803),\"\")","v":""},{"$f":"IF($A812<>\"\",IF(ZOZNAM!N803=\"\",\"\",ZOZNAM!N803),\"\")","v":"nie"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!O803=\"\",\"\",ZOZNAM!O803),\"\")","v":"nie"},{"$f":"IF($A812<>\"\",IF(ZOZNAM!P803=\"\",\"\",ZOZNAM!P803),\"\")","v":2.5},{"$f":"IF($A812<>\"\",IF(ZOZNAM!Q803=\"\",\"\",ZOZNAM!Q803),\"\")","v":""},{"$f":"IF($A812<>\"\",IF(ZOZNAM!R803=\"\",\"\",ZOZNAM!R803),\"\")","v":""},{"$f":"IF($A812<>\"\",IF(ZOZNAM!S803=\"\",\"\",ZOZNAM!S803),\"\")","v":""},{"$f":"IF($A812<>\"\",IF(ZOZNAM!T803=\"\",\"\",ZOZNAM!T803),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C804)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C804)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C804)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C804)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C804)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C804)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L804)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L804)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L804)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L804)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L804)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L804)),FALSE))),ZOZNAM!G804>=$C$9),ZOZNAM!A804,\"\")","v":"GE234"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!B804=\"\",\"\",ZOZNAM!B804),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!C804=\"\",\"\",ZOZNAM!C804),\"\")","v":"Topic Modeling in R"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!D804=\"\",\"\",ZOZNAM!D804),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!E804=\"\",\"\",ZOZNAM!E804),\"\")","v":3},{"$f":"IF($A813<>\"\",IF(ZOZNAM!F804=\"\",\"\",ZOZNAM!F804),\"\")","v":3},{"$f":"IF($A813<>\"\",IF(ZOZNAM!G804=\"\",\"\",ZOZNAM!G804),\"\")","v":"2020-11-11"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!H804=\"\",\"\",ZOZNAM!H804),\"\")","v":"2020-11-13"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!I804=\"\",\"\",ZOZNAM!I804),\"\")","v":"720 EUR"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!J804=\"\",\"\",ZOZNAM!J804),\"\")","v":""},{"$f":"IF($A813<>\"\",IF(ZOZNAM!K804=\"\",\"\",ZOZNAM!K804),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x148C9E11AC1C4165A1A8B6B4323B5443"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!L804=\"\",\"\",ZOZNAM!L804),\"\")","v":"This workshop will give an introduction to topic modeling using R. The first day of the workshop we will introduce R, Rstudio, and tidyverse. This day can be safely skipped by students or researchers with experience in using R.\n \nIn the second day, we will introduce topic modeling and the principles of automatic text analysis and topic modeling. We will explain the basic assumptions of bag-of-words analysis, unsupervised clustering, and the dirichlet distribution. We will use the quanteda and topicmodels packages for doing the analyses and LDAviz and corpustools for visualization and validation.\n\nThe third and final day we will first look in depth at how fitting an LDA model with Gibbs sampling actually works and look at the various parameters and choices. We will also look at linguistic preprocessing using the spacy package. Finally, we will introduce alternative topic models, from Dynamic and Correlated topic models to Structural Topic Models. We will use the stm package to show how to estimate a structural topic model with time or source as covariates, and show how to analyse and interpret the results.\n"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!M804=\"\",\"\",ZOZNAM!M804),\"\")","v":"No specific prior knowledge is required, but a basic knowledge of math and statistics will help understand the algorithms. Participants without knowledge of R are strongly advised to install R and RStudio beforehand and make themselves familiar with the software. All participants are advised to browse through chapters 9-16 of R4DS (https://r4ds.had.co.nz/.)."},{"$f":"IF($A813<>\"\",IF(ZOZNAM!N804=\"\",\"\",ZOZNAM!N804),\"\")","v":"nie"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!O804=\"\",\"\",ZOZNAM!O804),\"\")","v":"nie"},{"$f":"IF($A813<>\"\",IF(ZOZNAM!P804=\"\",\"\",ZOZNAM!P804),\"\")","v":2.5},{"$f":"IF($A813<>\"\",IF(ZOZNAM!Q804=\"\",\"\",ZOZNAM!Q804),\"\")","v":""},{"$f":"IF($A813<>\"\",IF(ZOZNAM!R804=\"\",\"\",ZOZNAM!R804),\"\")","v":""},{"$f":"IF($A813<>\"\",IF(ZOZNAM!S804=\"\",\"\",ZOZNAM!S804),\"\")","v":""},{"$f":"IF($A813<>\"\",IF(ZOZNAM!T804=\"\",\"\",ZOZNAM!T804),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C805)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C805)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C805)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C805)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C805)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C805)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L805)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L805)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L805)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L805)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L805)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L805)),FALSE))),ZOZNAM!G805>=$C$9),ZOZNAM!A805,\"\")","v":"GE235"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!B805=\"\",\"\",ZOZNAM!B805),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!C805=\"\",\"\",ZOZNAM!C805),\"\")","v":"Data Management, Advanced Programming and Automation using Stata"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!D805=\"\",\"\",ZOZNAM!D805),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!E805=\"\",\"\",ZOZNAM!E805),\"\")","v":1},{"$f":"IF($A814<>\"\",IF(ZOZNAM!F805=\"\",\"\",ZOZNAM!F805),\"\")","v":2},{"$f":"IF($A814<>\"\",IF(ZOZNAM!G805=\"\",\"\",ZOZNAM!G805),\"\")","v":"2020-11-16"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!H805=\"\",\"\",ZOZNAM!H805),\"\")","v":"2020-11-17"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!I805=\"\",\"\",ZOZNAM!I805),\"\")","v":"360 EUR "},{"$f":"IF($A814<>\"\",IF(ZOZNAM!J805=\"\",\"\",ZOZNAM!J805),\"\")","v":""},{"$f":"IF($A814<>\"\",IF(ZOZNAM!K805=\"\",\"\",ZOZNAM!K805),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x745897F7000F40D68817240A641F90BA"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!L805=\"\",\"\",ZOZNAM!L805),\"\")","v":"During the workshop, participants will learn how to efficiently handle problems of data\nmanagement with Stata, and how to avoid repetition by automating (and programming) tasks. The workshop is not an introduction to Stata, but will feature \"best practice\" of Stata usage in order to modify existing do-files (or create new ones) to be reproducible, maintainable and efficient. The tips and tricks will refer mainly to data preparation and management, but they can also be used or automation of data analysis. The workshop will present some ideas about these topics, but focus on the interactive work where participants shall learn producing efficient Stata syntax by themselves."},{"$f":"IF($A814<>\"\",IF(ZOZNAM!M805=\"\",\"\",ZOZNAM!M805),\"\")","v":"Participants should have at least moderate experience in using Stata; i.e. they should know about data manipulation commands like reshape and merge, and be capable to regularly use them. They are supposed to prepare a short verbal presentation featuring a typical Data Management or Data Analysis task (or a combination of both) they perform on a regular basis to the first session. During the course, this task may serve as an example case of automating procedures with Stata."},{"$f":"IF($A814<>\"\",IF(ZOZNAM!N805=\"\",\"\",ZOZNAM!N805),\"\")","v":"nie"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!O805=\"\",\"\",ZOZNAM!O805),\"\")","v":"nie"},{"$f":"IF($A814<>\"\",IF(ZOZNAM!P805=\"\",\"\",ZOZNAM!P805),\"\")","v":2.5},{"$f":"IF($A814<>\"\",IF(ZOZNAM!Q805=\"\",\"\",ZOZNAM!Q805),\"\")","v":""},{"$f":"IF($A814<>\"\",IF(ZOZNAM!R805=\"\",\"\",ZOZNAM!R805),\"\")","v":""},{"$f":"IF($A814<>\"\",IF(ZOZNAM!S805=\"\",\"\",ZOZNAM!S805),\"\")","v":""},{"$f":"IF($A814<>\"\",IF(ZOZNAM!T805=\"\",\"\",ZOZNAM!T805),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C806)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C806)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C806)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C806)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C806)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C806)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L806)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L806)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L806)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L806)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L806)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L806)),FALSE))),ZOZNAM!G806>=$C$9),ZOZNAM!A806,\"\")","v":"GE236"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!B806=\"\",\"\",ZOZNAM!B806),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!C806=\"\",\"\",ZOZNAM!C806),\"\")","v":"Introduction to Network Analysis with R"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!D806=\"\",\"\",ZOZNAM!D806),\"\")","v":"Kolín, Nemecko"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!E806=\"\",\"\",ZOZNAM!E806),\"\")","v":2},{"$f":"IF($A815<>\"\",IF(ZOZNAM!F806=\"\",\"\",ZOZNAM!F806),\"\")","v":2},{"$f":"IF($A815<>\"\",IF(ZOZNAM!G806=\"\",\"\",ZOZNAM!G806),\"\")","v":"2020-11-26"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!H806=\"\",\"\",ZOZNAM!H806),\"\")","v":"2020-11-27"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!I806=\"\",\"\",ZOZNAM!I806),\"\")","v":"480 EUR"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!J806=\"\",\"\",ZOZNAM!J806),\"\")","v":""},{"$f":"IF($A815<>\"\",IF(ZOZNAM!K806=\"\",\"\",ZOZNAM!K806),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x41BB057F66FC445280AC43657A612AC3"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!L806=\"\",\"\",ZOZNAM!L806),\"\")","v":"This workshop provides an introduction into theoretical concepts as well as methods of data collection and analysis for social networks with R. The first day is dedicated to definitions and terminologies, influential models and their importance for the empirical collection of network data. We investigate several examples of research (data) and reflect on suitable research questions and requirements of research designs in the process of collecting data. Various approaches are discussed, along with the potential drawbacks and biases of the resulting measures. We also provide examples for network questions from traditional survey questionnaires. In addition, we will analyze social networks with the open-source software R. We start with introducing two of the most popular packages for SNA in R, “igraph” and “statnet”. After understanding relevant objects and packages' organization, we describe the intuition behind structural and positional network metrics, such as density, centrality, or modularity, and practice their calculation as well as their visualization."},{"$f":"IF($A815<>\"\",IF(ZOZNAM!M806=\"\",\"\",ZOZNAM!M806),\"\")","v":"Participants should possess a general affinity toward social science theory. Participants should also be open to acquainting themselves with quantitative methods. However, no advanced statistical knowledge is required."},{"$f":"IF($A815<>\"\",IF(ZOZNAM!N806=\"\",\"\",ZOZNAM!N806),\"\")","v":"nie"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!O806=\"\",\"\",ZOZNAM!O806),\"\")","v":"nie"},{"$f":"IF($A815<>\"\",IF(ZOZNAM!P806=\"\",\"\",ZOZNAM!P806),\"\")","v":2.5},{"$f":"IF($A815<>\"\",IF(ZOZNAM!Q806=\"\",\"\",ZOZNAM!Q806),\"\")","v":""},{"$f":"IF($A815<>\"\",IF(ZOZNAM!R806=\"\",\"\",ZOZNAM!R806),\"\")","v":""},{"$f":"IF($A815<>\"\",IF(ZOZNAM!S806=\"\",\"\",ZOZNAM!S806),\"\")","v":""},{"$f":"IF($A815<>\"\",IF(ZOZNAM!T806=\"\",\"\",ZOZNAM!T806),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C807)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C807)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C807)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C807)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C807)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C807)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L807)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L807)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L807)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L807)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L807)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L807)),FALSE))),ZOZNAM!G807>=$C$9),ZOZNAM!A807,\"\")","v":"GE237"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!B807=\"\",\"\",ZOZNAM!B807),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!C807=\"\",\"\",ZOZNAM!C807),\"\")","v":"Digital Trace Data in Social Science"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!D807=\"\",\"\",ZOZNAM!D807),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!E807=\"\",\"\",ZOZNAM!E807),\"\")","v":2},{"$f":"IF($A816<>\"\",IF(ZOZNAM!F807=\"\",\"\",ZOZNAM!F807),\"\")","v":2},{"$f":"IF($A816<>\"\",IF(ZOZNAM!G807=\"\",\"\",ZOZNAM!G807),\"\")","v":"2020-12-07"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!H807=\"\",\"\",ZOZNAM!H807),\"\")","v":"2020-12-08"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!I807=\"\",\"\",ZOZNAM!I807),\"\")","v":"480 EUR"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!J807=\"\",\"\",ZOZNAM!J807),\"\")","v":""},{"$f":"IF($A816<>\"\",IF(ZOZNAM!K807=\"\",\"\",ZOZNAM!K807),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x259133F83FC34C5398C7C816C8B043AD"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!L807=\"\",\"\",ZOZNAM!L807),\"\")","v":"This workshop introduces Twitter API and provides multiple examples of collecting and analyzing Twitter data in R.\nThe course will start with general introduction of Twitter's API, available data and limitations. Subsequently, participants will learn how to collect diverse types of Twitter data (e.g., user timelines, tweets including certain keywords). To analyze collecting data, the course will discuss summary statistics of interested features, simple text analysis and network analysis (e.g. retweet network). Along with the data analysis, diverse possibilities for visualization will be demonstrated as well.\nDuring the course, the following R packages will be used: rtweet (to collect data), tidyverse (explore and visualise data), and igraph (analyze and visualize network).\nBefore the course begins, participants need to apply for a developer account, which you will need to access Twitter API. You can find detailed explanation of the process at Twitter developer webpage: https://developer.twitter.com/ (Note that you need to prepare a valid Twitter account beforehand).  The reviewing process usually take a couple of days, but it can take weeks. Even if you do not get approved before the workshop starts,\nI can give you a temporary access that is valid during the workshop period. You need to (1) prepare a valid Twitter account and (2) let me know your @user_name of your account via e-mail before the workshop starts. Note that email notification from Twitter must be activated!"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!M807=\"\",\"\",ZOZNAM!M807),\"\")","v":"Participants should have basic knowledge about how to use R. For example, it is expected that participants are able to install libraries, read and save csv format data, handle R's basic data types and structures (e.g., list, data frame), write simple iteration (e.g., for loop) and condition (e.g., if-else) statements. It is preferable if participants have some experiences in tidyverse related packages but not necessary.  "},{"$f":"IF($A816<>\"\",IF(ZOZNAM!N807=\"\",\"\",ZOZNAM!N807),\"\")","v":"nie"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!O807=\"\",\"\",ZOZNAM!O807),\"\")","v":"nie"},{"$f":"IF($A816<>\"\",IF(ZOZNAM!P807=\"\",\"\",ZOZNAM!P807),\"\")","v":2.5},{"$f":"IF($A816<>\"\",IF(ZOZNAM!Q807=\"\",\"\",ZOZNAM!Q807),\"\")","v":""},{"$f":"IF($A816<>\"\",IF(ZOZNAM!R807=\"\",\"\",ZOZNAM!R807),\"\")","v":""},{"$f":"IF($A816<>\"\",IF(ZOZNAM!S807=\"\",\"\",ZOZNAM!S807),\"\")","v":""},{"$f":"IF($A816<>\"\",IF(ZOZNAM!T807=\"\",\"\",ZOZNAM!T807),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C808)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C808)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C808)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C808)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C808)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C808)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L808)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L808)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L808)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L808)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L808)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L808)),FALSE))),ZOZNAM!G808>=$C$9),ZOZNAM!A808,\"\")","v":"GE238"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!B808=\"\",\"\",ZOZNAM!B808),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!C808=\"\",\"\",ZOZNAM!C808),\"\")","v":"Introduction to Social Network Science with Python"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!D808=\"\",\"\",ZOZNAM!D808),\"\")","v":"Online"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!E808=\"\",\"\",ZOZNAM!E808),\"\")","v":5},{"$f":"IF($A817<>\"\",IF(ZOZNAM!F808=\"\",\"\",ZOZNAM!F808),\"\")","v":5},{"$f":"IF($A817<>\"\",IF(ZOZNAM!G808=\"\",\"\",ZOZNAM!G808),\"\")","v":"2020-09-21"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!H808=\"\",\"\",ZOZNAM!H808),\"\")","v":"2020-09-25"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!I808=\"\",\"\",ZOZNAM!I808),\"\")","v":"960 EUR"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!J808=\"\",\"\",ZOZNAM!J808),\"\")","v":""},{"$f":"IF($A817<>\"\",IF(ZOZNAM!K808=\"\",\"\",ZOZNAM!K808),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x387DA6358EF341928F67355388570B76&subID=0x067A7863DDE94D53BF4D97AB23230D60"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!L808=\"\",\"\",ZOZNAM!L808),\"\")","v":"In the wake of the digital revolution, masses of digital behavioral data are becoming available for social research. This data resembles transactions or events that typically consist of both social relations and their communicative content. As such, it can facilitate understanding not only how networks emerge from actions, but also how actors are formed by networks. In this course, we convey basic network analysis skills and how relational methods and coding in Python can be deployed in practical application scenarios. Following an introduction to relational data structures, the first day covers how to construct networks from data. The second day deals with network visualization and how to characterize the centrality of nodes in networks. The third day is dedicated to brokerage and closure, two main concepts to describe the positions of nodes in networks. The fourth day aims at identifying groups (community detection) and introduces a statistical procedure for relational hypothesis testing. The last day is reserved for individual or group projects. Throughout the course, NetworkX will be used as the Python package for network analysis because it provides a wide range of tools. Thematic blocks start with an introductory lecture in which network analytical tools and their social network theoretic contexts are presented. Then the instructors demonstrate how to apply them, using classic, bibliometric, and Twitter networks. Finally, in exercises, the participants apply acquired knowledge in their own code. Participants are encouraged to prepare their own network datasets and research questions to work on in the exercises and projects. The course is adapted to an online teaching environment, that means, instructors and participants will have time to individually exchange in breakout rooms."},{"$f":"IF($A817<>\"\",IF(ZOZNAM!M808=\"\",\"\",ZOZNAM!M808),\"\")","v":"Participants are required to have at least initial experience with coding in Python or another programming language (like R or Java). To ensure a common starting ground among all participants, they are expected to familiarize themselves with the basic concepts of Python via learning materials that will be provided beforehand. Options for additional preparations include taking the \"Introduction to the Python Data Science Stack\" (14. - 15.09.2020) or learning Python online via the Python Data Science Handbook (https://notebooks.gesis.org/binder/v2/gh/jakevdp/PythonDataScienceHandbook/master). Previous knowledge on network theory or analysis is helpful but not required. All utilized software is available without cost as open source under Windows, MacOS, and Linux systems. Detailed installation instructions for the suggested development environments will be provided before the start of the course."},{"$f":"IF($A817<>\"\",IF(ZOZNAM!N808=\"\",\"\",ZOZNAM!N808),\"\")","v":"nie"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!O808=\"\",\"\",ZOZNAM!O808),\"\")","v":"nie"},{"$f":"IF($A817<>\"\",IF(ZOZNAM!P808=\"\",\"\",ZOZNAM!P808),\"\")","v":2.5},{"$f":"IF($A817<>\"\",IF(ZOZNAM!Q808=\"\",\"\",ZOZNAM!Q808),\"\")","v":""},{"$f":"IF($A817<>\"\",IF(ZOZNAM!R808=\"\",\"\",ZOZNAM!R808),\"\")","v":""},{"$f":"IF($A817<>\"\",IF(ZOZNAM!S808=\"\",\"\",ZOZNAM!S808),\"\")","v":""},{"$f":"IF($A817<>\"\",IF(ZOZNAM!T808=\"\",\"\",ZOZNAM!T808),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C809)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C809)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C809)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C809)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C809)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C809)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L809)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L809)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L809)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L809)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L809)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L809)),FALSE))),ZOZNAM!G809>=$C$9),ZOZNAM!A809,\"\")","v":"GE239"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!B809=\"\",\"\",ZOZNAM!B809),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!C809=\"\",\"\",ZOZNAM!C809),\"\")","v":"Text Mining with R"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!D809=\"\",\"\",ZOZNAM!D809),\"\")","v":"Online"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!E809=\"\",\"\",ZOZNAM!E809),\"\")","v":5},{"$f":"IF($A818<>\"\",IF(ZOZNAM!F809=\"\",\"\",ZOZNAM!F809),\"\")","v":5},{"$f":"IF($A818<>\"\",IF(ZOZNAM!G809=\"\",\"\",ZOZNAM!G809),\"\")","v":"2020-09-28"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!H809=\"\",\"\",ZOZNAM!H809),\"\")","v":"2020-10-02"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!I809=\"\",\"\",ZOZNAM!I809),\"\")","v":"1200 EUR"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!J809=\"\",\"\",ZOZNAM!J809),\"\")","v":""},{"$f":"IF($A818<>\"\",IF(ZOZNAM!K809=\"\",\"\",ZOZNAM!K809),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x387DA6358EF341928F67355388570B76&subID=0xD8EBD7C33F814DF0BF582E1E7BDFB731"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!L809=\"\",\"\",ZOZNAM!L809),\"\")","v":"In the digital age, large collections of text are an increasingly attractive data source for analysis in the social sciences. Corpora from thousands up to several millions of retro-digitized or natively digital documents cannot be investigated with conventional, manual methods alone. Semi-automatic computational analysis algorithms, also known as text mining, provide interesting opportunities for social scientists to extend their toolbox.\n \nTo realize complex designs in empirical social research, scientists need basic knowledge of computational algorithms to be able to select those appropriate for their needs. Specific projects may further require certain adaptations to standard procedures, language resources or analysis workflows. Instead of relying on off-the-shelf analysis software, using script programming languages is a very powerful way to fulfill such requirements. The course teaches an overview of text mining in connection with data acquisition, preprocessing and methodological integration using the statistical programming language R.\n \nIn sessions alternating between lectures and tutorials, we teach theoretical and methodological foundations, introduce exemplary studies and get hands on programming to realize different analyses.\n"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!M809=\"\",\"\",ZOZNAM!M809),\"\")","v":"For participants without basic knowledge of R, we strongly recommend to learn at least a little in preparation of the course. For this, we provide links to material and online tutorials prior to the course through the Gesis e-learning platform."},{"$f":"IF($A818<>\"\",IF(ZOZNAM!N809=\"\",\"\",ZOZNAM!N809),\"\")","v":"nie"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!O809=\"\",\"\",ZOZNAM!O809),\"\")","v":"nie"},{"$f":"IF($A818<>\"\",IF(ZOZNAM!P809=\"\",\"\",ZOZNAM!P809),\"\")","v":2.5},{"$f":"IF($A818<>\"\",IF(ZOZNAM!Q809=\"\",\"\",ZOZNAM!Q809),\"\")","v":""},{"$f":"IF($A818<>\"\",IF(ZOZNAM!R809=\"\",\"\",ZOZNAM!R809),\"\")","v":""},{"$f":"IF($A818<>\"\",IF(ZOZNAM!S809=\"\",\"\",ZOZNAM!S809),\"\")","v":""},{"$f":"IF($A818<>\"\",IF(ZOZNAM!T809=\"\",\"\",ZOZNAM!T809),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C810)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C810)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C810)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C810)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C810)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C810)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L810)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L810)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L810)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L810)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L810)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L810)),FALSE))),ZOZNAM!G810>=$C$9),ZOZNAM!A810,\"\")","v":"HA110"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!B810=\"\",\"\",ZOZNAM!B810),\"\")","v":"Harvard "},{"$f":"IF($A819<>\"\",IF(ZOZNAM!C810=\"\",\"\",ZOZNAM!C810),\"\")","v":"Systematic Approaches to Policy Design"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!D810=\"\",\"\",ZOZNAM!D810),\"\")","v":"Online"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!E810=\"\",\"\",ZOZNAM!E810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!F810=\"\",\"\",ZOZNAM!F810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!G810=\"\",\"\",ZOZNAM!G810),\"\")","v":"Self-paced"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!H810=\"\",\"\",ZOZNAM!H810),\"\")","v":"Self-paced"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!I810=\"\",\"\",ZOZNAM!I810),\"\")","v":"0 USD"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!J810=\"\",\"\",ZOZNAM!J810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!K810=\"\",\"\",ZOZNAM!K810),\"\")","v":"https://online-learning.harvard.edu/course/systematic-approaches-policy-design?delta=0"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!L810=\"\",\"\",ZOZNAM!L810),\"\")","v":"This course will help senior officials make greater use of data and evidence in their everyday decision-making. This unit presents a few over-arching frameworks that are helpful in appraoching complicated decisions. You will learn how to orgnaize your thinking, how to break a probelm down into parts, and how to figure out where evidence can be most useful in making a decision."},{"$f":"IF($A819<>\"\",IF(ZOZNAM!M810=\"\",\"\",ZOZNAM!M810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!N810=\"\",\"\",ZOZNAM!N810),\"\")","v":"nie"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!O810=\"\",\"\",ZOZNAM!O810),\"\")","v":"nie"},{"$f":"IF($A819<>\"\",IF(ZOZNAM!P810=\"\",\"\",ZOZNAM!P810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!Q810=\"\",\"\",ZOZNAM!Q810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!R810=\"\",\"\",ZOZNAM!R810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!S810=\"\",\"\",ZOZNAM!S810),\"\")","v":""},{"$f":"IF($A819<>\"\",IF(ZOZNAM!T810=\"\",\"\",ZOZNAM!T810),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C811)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C811)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C811)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C811)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C811)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C811)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L811)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L811)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L811)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L811)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L811)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L811)),FALSE))),ZOZNAM!G811>=$C$9),ZOZNAM!A811,\"\")","v":"HA111"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!B811=\"\",\"\",ZOZNAM!B811),\"\")","v":"Harvard "},{"$f":"IF($A820<>\"\",IF(ZOZNAM!C811=\"\",\"\",ZOZNAM!C811),\"\")","v":"Data Science: R Basics"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!D811=\"\",\"\",ZOZNAM!D811),\"\")","v":"self-paced"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!E811=\"\",\"\",ZOZNAM!E811),\"\")","v":"8 týždňov"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!F811=\"\",\"\",ZOZNAM!F811),\"\")","v":"8 týždňov"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!G811=\"\",\"\",ZOZNAM!G811),\"\")","v":"2020-07-15"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!H811=\"\",\"\",ZOZNAM!H811),\"\")","v":"2021-01-15"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!I811=\"\",\"\",ZOZNAM!I811),\"\")","v":"49 USD"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!J811=\"\",\"\",ZOZNAM!J811),\"\")","v":""},{"$f":"IF($A820<>\"\",IF(ZOZNAM!K811=\"\",\"\",ZOZNAM!K811),\"\")","v":"https://online-learning.harvard.edu/course/data-science-r-basics?delta=1"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!L811=\"\",\"\",ZOZNAM!L811),\"\")","v":"The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.\n\nWe’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.\n\nRather than covering every R skill you might need, you’ll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.\n\nThe demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.\n"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!M811=\"\",\"\",ZOZNAM!M811),\"\")","v":"Audit for Free\nAdd a Verified Certificate for $49\nDuration: 8 weeks long\nTime commitment: 1-2 hours per week\nPace: Self-paced\n"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!N811=\"\",\"\",ZOZNAM!N811),\"\")","v":"nie"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!O811=\"\",\"\",ZOZNAM!O811),\"\")","v":"nie"},{"$f":"IF($A820<>\"\",IF(ZOZNAM!P811=\"\",\"\",ZOZNAM!P811),\"\")","v":""},{"$f":"IF($A820<>\"\",IF(ZOZNAM!Q811=\"\",\"\",ZOZNAM!Q811),\"\")","v":""},{"$f":"IF($A820<>\"\",IF(ZOZNAM!R811=\"\",\"\",ZOZNAM!R811),\"\")","v":""},{"$f":"IF($A820<>\"\",IF(ZOZNAM!S811=\"\",\"\",ZOZNAM!S811),\"\")","v":""},{"$f":"IF($A820<>\"\",IF(ZOZNAM!T811=\"\",\"\",ZOZNAM!T811),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C813)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C813)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C813)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C813)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C813)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C813)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L813)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L813)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L813)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L813)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L813)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L813)),FALSE))),ZOZNAM!G813>=$C$9),ZOZNAM!A813,\"\")","v":"HA113"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!B813=\"\",\"\",ZOZNAM!B813),\"\")","v":"Harvard "},{"$f":"IF($A822<>\"\",IF(ZOZNAM!C813=\"\",\"\",ZOZNAM!C813),\"\")","v":"Data Science: Inference and Modeling"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!D813=\"\",\"\",ZOZNAM!D813),\"\")","v":"Online"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!E813=\"\",\"\",ZOZNAM!E813),\"\")","v":"8 týždňov"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!F813=\"\",\"\",ZOZNAM!F813),\"\")","v":"8 týždňov"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!G813=\"\",\"\",ZOZNAM!G813),\"\")","v":"2020-07-15"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!H813=\"\",\"\",ZOZNAM!H813),\"\")","v":"2021-01-15"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!I813=\"\",\"\",ZOZNAM!I813),\"\")","v":"49 USD"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!J813=\"\",\"\",ZOZNAM!J813),\"\")","v":""},{"$f":"IF($A822<>\"\",IF(ZOZNAM!K813=\"\",\"\",ZOZNAM!K813),\"\")","v":"https://online-learning.harvard.edu/course/data-science-inference-and-modeling?delta=1"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!L813=\"\",\"\",ZOZNAM!L813),\"\")","v":"Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting. \n\nThis course will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R. You will learn concepts necessary to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast. \n"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!M813=\"\",\"\",ZOZNAM!M813),\"\")","v":"Audit for Free\nAdd a Verified Certificate for $49\nDuration: 8 weeks long\nTime commitment: 1-2 hours per week\nPace: Self-paced"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!N813=\"\",\"\",ZOZNAM!N813),\"\")","v":"nie"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!O813=\"\",\"\",ZOZNAM!O813),\"\")","v":"nie"},{"$f":"IF($A822<>\"\",IF(ZOZNAM!P813=\"\",\"\",ZOZNAM!P813),\"\")","v":""},{"$f":"IF($A822<>\"\",IF(ZOZNAM!Q813=\"\",\"\",ZOZNAM!Q813),\"\")","v":""},{"$f":"IF($A822<>\"\",IF(ZOZNAM!R813=\"\",\"\",ZOZNAM!R813),\"\")","v":""},{"$f":"IF($A822<>\"\",IF(ZOZNAM!S813=\"\",\"\",ZOZNAM!S813),\"\")","v":""},{"$f":"IF($A822<>\"\",IF(ZOZNAM!T813=\"\",\"\",ZOZNAM!T813),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C822)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C822)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C822)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C822)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C822)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C822)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L822)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L822)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L822)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L822)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L822)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L822)),FALSE))),ZOZNAM!G822>=$C$9),ZOZNAM!A822,\"\")","v":"IC015"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!B822=\"\",\"\",ZOZNAM!B822),\"\")","v":"International Training Centre"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!C822=\"\",\"\",ZOZNAM!C822),\"\")","v":"E-LEARNING COURSE ON INSTITUTIONAL CAPACITY BUILDING FOR EFFECTIVE LABOUR MARKET INFORMATION SYSTEMS (LMIS)"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!D822=\"\",\"\",ZOZNAM!D822),\"\")","v":"Online"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!E822=\"\",\"\",ZOZNAM!E822),\"\")","v":24},{"$f":"IF($A831<>\"\",IF(ZOZNAM!F822=\"\",\"\",ZOZNAM!F822),\"\")","v":33},{"$f":"IF($A831<>\"\",IF(ZOZNAM!G822=\"\",\"\",ZOZNAM!G822),\"\")","v":"2020-11-02"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!H822=\"\",\"\",ZOZNAM!H822),\"\")","v":"2020-12-04"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!I822=\"\",\"\",ZOZNAM!I822),\"\")","v":"0 EUR"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!J822=\"\",\"\",ZOZNAM!J822),\"\")","v":"2020-12-04"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!K822=\"\",\"\",ZOZNAM!K822),\"\")","v":"https://www.itcilo.org/courses/e-learning-course-institutional-capacity-building-effective-labour-market-information"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!L822=\"\",\"\",ZOZNAM!L822),\"\")","v":"This course aims to build institutional capacities to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.\n\nWho attends this course?"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!M822=\"\",\"\",ZOZNAM!M822),\"\")","v":""},{"$f":"IF($A831<>\"\",IF(ZOZNAM!N822=\"\",\"\",ZOZNAM!N822),\"\")","v":"nie"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!O822=\"\",\"\",ZOZNAM!O822),\"\")","v":"nie"},{"$f":"IF($A831<>\"\",IF(ZOZNAM!P822=\"\",\"\",ZOZNAM!P822),\"\")","v":""},{"$f":"IF($A831<>\"\",IF(ZOZNAM!Q822=\"\",\"\",ZOZNAM!Q822),\"\")","v":""},{"$f":"IF($A831<>\"\",IF(ZOZNAM!R822=\"\",\"\",ZOZNAM!R822),\"\")","v":""},{"$f":"IF($A831<>\"\",IF(ZOZNAM!S822=\"\",\"\",ZOZNAM!S822),\"\")","v":""},{"$f":"IF($A831<>\"\",IF(ZOZNAM!T822=\"\",\"\",ZOZNAM!T822),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C823)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C823)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C823)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C823)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C823)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C823)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L823)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L823)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L823)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L823)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L823)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L823)),FALSE))),ZOZNAM!G823>=$C$9),ZOZNAM!A823,\"\")","v":"LO241"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!B823=\"\",\"\",ZOZNAM!B823),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!C823=\"\",\"\",ZOZNAM!C823),\"\")","v":"Behavioural Economics and the Modern Economy"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!D823=\"\",\"\",ZOZNAM!D823),\"\")","v":"Online/Londýn, Veľká Británia"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!E823=\"\",\"\",ZOZNAM!E823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!F823=\"\",\"\",ZOZNAM!F823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!G823=\"\",\"\",ZOZNAM!G823),\"\")","v":"TBC"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!H823=\"\",\"\",ZOZNAM!H823),\"\")","v":"TBC"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!I823=\"\",\"\",ZOZNAM!I823),\"\")","v":"6 295 GBP / 4 295 GBP"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!J823=\"\",\"\",ZOZNAM!J823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!K823=\"\",\"\",ZOZNAM!K823),\"\")","v":"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/economics/behavioural-economics-and-the-modern-economy"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!L823=\"\",\"\",ZOZNAM!L823),\"\")","v":"Behavioural economics has revolutionised economics in the past thirty years by replacing the standard assumptions of perfect rationality and unbridled self-interest with more psychologically realistic alternatives. Behavioural economists believe that economists have traditionally acted as if humans are smarter and harsher than they actually are. More importantly, the departures from rationality and selfishness are systematic – the scientific goal of behavioural economics is to understand how people actually behave.  \n\nThe course will draw on psychological/experimental research as well as formal behavioural economic models."},{"$f":"IF($A832<>\"\",IF(ZOZNAM!M823=\"\",\"\",ZOZNAM!M823),\"\")","v":"Fees cover all LSE tuition and course materials. On campus fees also include daily lunches and networking events. You will also be awarded an LSE certificate of completion at the end of the five days."},{"$f":"IF($A832<>\"\",IF(ZOZNAM!N823=\"\",\"\",ZOZNAM!N823),\"\")","v":"nie"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!O823=\"\",\"\",ZOZNAM!O823),\"\")","v":"áno"},{"$f":"IF($A832<>\"\",IF(ZOZNAM!P823=\"\",\"\",ZOZNAM!P823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!Q823=\"\",\"\",ZOZNAM!Q823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!R823=\"\",\"\",ZOZNAM!R823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!S823=\"\",\"\",ZOZNAM!S823),\"\")","v":""},{"$f":"IF($A832<>\"\",IF(ZOZNAM!T823=\"\",\"\",ZOZNAM!T823),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C824)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C824)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C824)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C824)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C824)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C824)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L824)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L824)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L824)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L824)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L824)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L824)),FALSE))),ZOZNAM!G824>=$C$9),ZOZNAM!A824,\"\")","v":"LO242"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!B824=\"\",\"\",ZOZNAM!B824),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!C824=\"\",\"\",ZOZNAM!C824),\"\")","v":"Climate Change: Economics and Governance"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!D824=\"\",\"\",ZOZNAM!D824),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!E824=\"\",\"\",ZOZNAM!E824),\"\")","v":5},{"$f":"IF($A833<>\"\",IF(ZOZNAM!F824=\"\",\"\",ZOZNAM!F824),\"\")","v":5},{"$f":"IF($A833<>\"\",IF(ZOZNAM!G824=\"\",\"\",ZOZNAM!G824),\"\")","v":"2022-06-13"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!H824=\"\",\"\",ZOZNAM!H824),\"\")","v":"2022-06-17"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!I824=\"\",\"\",ZOZNAM!I824),\"\")","v":"3 995 GBP / 3 500 GBP"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!J824=\"\",\"\",ZOZNAM!J824),\"\")","v":"2022-06-06"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!K824=\"\",\"\",ZOZNAM!K824),\"\")","v":"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/climate-change-economics-and-governance"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!L824=\"\",\"\",ZOZNAM!L824),\"\")","v":"The course begins with an intensive introduction to climate change as a scientific and particularly as a social scientific issue, intended to bring students up-to-speed with the key concepts. The scientific evidence on climate change will be outlined and well-known controversies will be covered. Then the key concepts of climate-change economics and governance will be introduced, such as market failure, pricing carbon, and the tragedy of the commons."},{"$f":"IF($A833<>\"\",IF(ZOZNAM!M824=\"\",\"\",ZOZNAM!M824),\"\")","v":"Fees cover all LSE tuition and course materials. On campus fees also include daily lunches and networking events. You will also be awarded an LSE certificate of completion at the end of the five days."},{"$f":"IF($A833<>\"\",IF(ZOZNAM!N824=\"\",\"\",ZOZNAM!N824),\"\")","v":"nie"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!O824=\"\",\"\",ZOZNAM!O824),\"\")","v":"áno"},{"$f":"IF($A833<>\"\",IF(ZOZNAM!P824=\"\",\"\",ZOZNAM!P824),\"\")","v":""},{"$f":"IF($A833<>\"\",IF(ZOZNAM!Q824=\"\",\"\",ZOZNAM!Q824),\"\")","v":""},{"$f":"IF($A833<>\"\",IF(ZOZNAM!R824=\"\",\"\",ZOZNAM!R824),\"\")","v":""},{"$f":"IF($A833<>\"\",IF(ZOZNAM!S824=\"\",\"\",ZOZNAM!S824),\"\")","v":""},{"$f":"IF($A833<>\"\",IF(ZOZNAM!T824=\"\",\"\",ZOZNAM!T824),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C825)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C825)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C825)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C825)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C825)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C825)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L825)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L825)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L825)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L825)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L825)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L825)),FALSE))),ZOZNAM!G825>=$C$9),ZOZNAM!A825,\"\")","v":"LO243"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!B825=\"\",\"\",ZOZNAM!B825),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!C825=\"\",\"\",ZOZNAM!C825),\"\")","v":"Data Science for Executives"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!D825=\"\",\"\",ZOZNAM!D825),\"\")","v":"Online/Londýn, Veľká Británia"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!E825=\"\",\"\",ZOZNAM!E825),\"\")","v":5},{"$f":"IF($A834<>\"\",IF(ZOZNAM!F825=\"\",\"\",ZOZNAM!F825),\"\")","v":5},{"$f":"IF($A834<>\"\",IF(ZOZNAM!G825=\"\",\"\",ZOZNAM!G825),\"\")","v":"2020-11-02"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!H825=\"\",\"\",ZOZNAM!H825),\"\")","v":"2020-11-06"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!I825=\"\",\"\",ZOZNAM!I825),\"\")","v":"6 295 GBP / 4 295 GBP"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!J825=\"\",\"\",ZOZNAM!J825),\"\")","v":""},{"$f":"IF($A834<>\"\",IF(ZOZNAM!K825=\"\",\"\",ZOZNAM!K825),\"\")","v":"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/business-and-management/data-science-for-executives"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!L825=\"\",\"\",ZOZNAM!L825),\"\")","v":"The focus of this course is on examples of good and bad data science, with real-world applications from government, business, and law. By the end of the course, students will be familiar with the concepts of data science and will have learned how to evaluate quantitative evidence and how to design new studies using big data and data scientific tools."},{"$f":"IF($A834<>\"\",IF(ZOZNAM!M825=\"\",\"\",ZOZNAM!M825),\"\")","v":"Fees cover all LSE tuition and course materials. On campus fees also include daily lunches and networking events. You will also be awarded an LSE certificate of completion at the end of the five days. Minimum two years’ professional experience. Typically our participants have more than ten years’ work experience."},{"$f":"IF($A834<>\"\",IF(ZOZNAM!N825=\"\",\"\",ZOZNAM!N825),\"\")","v":"nie"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!O825=\"\",\"\",ZOZNAM!O825),\"\")","v":"áno"},{"$f":"IF($A834<>\"\",IF(ZOZNAM!P825=\"\",\"\",ZOZNAM!P825),\"\")","v":""},{"$f":"IF($A834<>\"\",IF(ZOZNAM!Q825=\"\",\"\",ZOZNAM!Q825),\"\")","v":""},{"$f":"IF($A834<>\"\",IF(ZOZNAM!R825=\"\",\"\",ZOZNAM!R825),\"\")","v":""},{"$f":"IF($A834<>\"\",IF(ZOZNAM!S825=\"\",\"\",ZOZNAM!S825),\"\")","v":""},{"$f":"IF($A834<>\"\",IF(ZOZNAM!T825=\"\",\"\",ZOZNAM!T825),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C826)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C826)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C826)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C826)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C826)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C826)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L826)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L826)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L826)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L826)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L826)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L826)),FALSE))),ZOZNAM!G826>=$C$9),ZOZNAM!A826,\"\")","v":"MM001"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!B826=\"\",\"\",ZOZNAM!B826),\"\")","v":"Maastricht School of Management"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!C826=\"\",\"\",ZOZNAM!C826),\"\")","v":"e-Government"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!D826=\"\",\"\",ZOZNAM!D826),\"\")","v":"Maastricht, Holandsko"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!E826=\"\",\"\",ZOZNAM!E826),\"\")","v":5},{"$f":"IF($A835<>\"\",IF(ZOZNAM!F826=\"\",\"\",ZOZNAM!F826),\"\")","v":5},{"$f":"IF($A835<>\"\",IF(ZOZNAM!G826=\"\",\"\",ZOZNAM!G826),\"\")","v":"2020-11-02"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!H826=\"\",\"\",ZOZNAM!H826),\"\")","v":"2020-11-06"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!I826=\"\",\"\",ZOZNAM!I826),\"\")","v":"2 799 EUR"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!J826=\"\",\"\",ZOZNAM!J826),\"\")","v":"2020-10-02"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!K826=\"\",\"\",ZOZNAM!K826),\"\")","v":"https://www.msm.nl/education-programs/executive-education/public-policy-administration/e-government/introduction"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!L826=\"\",\"\",ZOZNAM!L826),\"\")","v":"After finalizing this course, you:\nWill develop your understanding of the potential of e-Government, the policies, the required legal and institutional frameworks, and gain insights into an engaging e-Government involving different stakeholders\nWill improve your analytical skills on the managerial and organizational issues with e-Government initiatives\nWill be capable of formulating e-Government policies, particularly in a development context\nWill gain understanding on how to overcome implementation and transformation challenges with e-Government, in light of achieving a better, more sustainable government\nCourse topics\nA highlight of the topics covered: integration, interoperability, transparency and accountability. The topic of risk management with respect to the wider adoption of e-Government is also tackled, embracing security and privacy. Project management includes, among others, agile approaches and dealing with IT service providers. A particular topic is the involvement of citizens and businesses through the usage of social media and mobile computing."},{"$f":"IF($A835<>\"\",IF(ZOZNAM!M826=\"\",\"\",ZOZNAM!M826),\"\")","v":"Tuition fee includes all course materials, study materials, refreshments during classes and lunch every class day. Tuition fee does not include housing, other food and living expenses. Participants are required to arrange their own housing facilities. MSM can assist in finding hotel accommodation. Applicants should have the ability to function academically and professionally at Bachelor level. Because it is an interactive program, candidates should have an adequate level of spoken and written English to be able to follow the program and to actively participate. If it turns out that an applicant does not have the sufficient level of English, a certificate will not be awarded.\nCorporate Discount:\n15% for 2 participants coming from the same organization within 1 academic year\n25% for 3 participants coming from the same organization within 1 academic year\n40% for 4 - 6 participants coming from the same organization within 1 academic year\nFor > 6 participants we will offer a tailor made program\n\nEuropean Star Scholarship:\n50% for European citizens and long term residents. Submit a 2 - 3 page essay on the topic: \"What will be the positive change for my organization and me after participating in this course?\""},{"$f":"IF($A835<>\"\",IF(ZOZNAM!N826=\"\",\"\",ZOZNAM!N826),\"\")","v":"nie"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!O826=\"\",\"\",ZOZNAM!O826),\"\")","v":"nie"},{"$f":"IF($A835<>\"\",IF(ZOZNAM!P826=\"\",\"\",ZOZNAM!P826),\"\")","v":""},{"$f":"IF($A835<>\"\",IF(ZOZNAM!Q826=\"\",\"\",ZOZNAM!Q826),\"\")","v":""},{"$f":"IF($A835<>\"\",IF(ZOZNAM!R826=\"\",\"\",ZOZNAM!R826),\"\")","v":""},{"$f":"IF($A835<>\"\",IF(ZOZNAM!S826=\"\",\"\",ZOZNAM!S826),\"\")","v":""},{"$f":"IF($A835<>\"\",IF(ZOZNAM!T826=\"\",\"\",ZOZNAM!T826),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C827)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C827)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C827)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C827)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C827)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C827)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L827)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L827)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L827)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L827)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L827)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L827)),FALSE))),ZOZNAM!G827>=$C$9),ZOZNAM!A827,\"\")","v":"MM002"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!B827=\"\",\"\",ZOZNAM!B827),\"\")","v":"Maastricht School of Management"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!C827=\"\",\"\",ZOZNAM!C827),\"\")","v":"Research Methods and Skills"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!D827=\"\",\"\",ZOZNAM!D827),\"\")","v":"Online"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!E827=\"\",\"\",ZOZNAM!E827),\"\")","v":"6 mesiacov"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!F827=\"\",\"\",ZOZNAM!F827),\"\")","v":"6 mesiacov"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!G827=\"\",\"\",ZOZNAM!G827),\"\")","v":"2020-09-01"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!H827=\"\",\"\",ZOZNAM!H827),\"\")","v":"2021-03-01"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!I827=\"\",\"\",ZOZNAM!I827),\"\")","v":"6 025 EUR"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!J827=\"\",\"\",ZOZNAM!J827),\"\")","v":"2020-08-19"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!K827=\"\",\"\",ZOZNAM!K827),\"\")","v":"https://www.msm.nl/education-programs/research-methods-and-skills/intro"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!L827=\"\",\"\",ZOZNAM!L827),\"\")","v":"The program is developed for those wishing to develop their research careers in a broad range of industries: the private sector, NGOs, international development organizations, public sector early career academics and doctoral candidates. In developing countries, this program can serve as capacity building for staff in universities, but also research units within businesses, NGOs, ministries and think tanks. In developed countries, this program fills the gap between master graduation, and the start of doctoral research. \n\nThe program comprises five modules, which will be offered in a distance learning approach including extensive and interactive online sessions, group actvities, discussions forums, indivdual sessions (where requited), and practical exercises in order to ensure a vivid learning experience."},{"$f":"IF($A836<>\"\",IF(ZOZNAM!M827=\"\",\"\",ZOZNAM!M827),\"\")","v":"Early Bird fee € 5,355\nApplication fee (non-refundable) € 75"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!N827=\"\",\"\",ZOZNAM!N827),\"\")","v":"nie"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!O827=\"\",\"\",ZOZNAM!O827),\"\")","v":"nie"},{"$f":"IF($A836<>\"\",IF(ZOZNAM!P827=\"\",\"\",ZOZNAM!P827),\"\")","v":""},{"$f":"IF($A836<>\"\",IF(ZOZNAM!Q827=\"\",\"\",ZOZNAM!Q827),\"\")","v":""},{"$f":"IF($A836<>\"\",IF(ZOZNAM!R827=\"\",\"\",ZOZNAM!R827),\"\")","v":""},{"$f":"IF($A836<>\"\",IF(ZOZNAM!S827=\"\",\"\",ZOZNAM!S827),\"\")","v":""},{"$f":"IF($A836<>\"\",IF(ZOZNAM!T827=\"\",\"\",ZOZNAM!T827),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C828)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C828)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C828)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C828)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C828)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C828)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L828)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L828)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L828)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L828)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L828)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L828)),FALSE))),ZOZNAM!G828>=$C$9),ZOZNAM!A828,\"\")","v":"MA250"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!B828=\"\",\"\",ZOZNAM!B828),\"\")","v":"Massachusetts Institute of Technology (MIT)"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!C828=\"\",\"\",ZOZNAM!C828),\"\")","v":"Understanding and Predicting Technological Innovation: New Data and Theory"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!D828=\"\",\"\",ZOZNAM!D828),\"\")","v":"Cambridge, USA"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!E828=\"\",\"\",ZOZNAM!E828),\"\")","v":3},{"$f":"IF($A837<>\"\",IF(ZOZNAM!F828=\"\",\"\",ZOZNAM!F828),\"\")","v":3},{"$f":"IF($A837<>\"\",IF(ZOZNAM!G828=\"\",\"\",ZOZNAM!G828),\"\")","v":"2021-06-14"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!H828=\"\",\"\",ZOZNAM!H828),\"\")","v":"2021-06-16"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!I828=\"\",\"\",ZOZNAM!I828),\"\")","v":"3 000 USD"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!J828=\"\",\"\",ZOZNAM!J828),\"\")","v":"2021-05-15"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!K828=\"\",\"\",ZOZNAM!K828),\"\")","v":"https://professional.mit.edu/course-catalog/understanding-and-predicting-technological-innovation-new-data-and-theory"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!L828=\"\",\"\",ZOZNAM!L828),\"\")","v":"This course on technological innovation will be organized around three modules on (1) Data, (2) Theory, and (3) Application. In the first module, we will analyze new, large data sets on technological improvement, many of which were collected by the instructor and are the most expansive of their kind. We will cover statistical analysis methods and decomposition models in order to extract useful insight on the determinants of technological innovation. Examples from energy conversion, transportation, chemicals, metals, information technology, and a range of other industries will be discussed."},{"$f":"IF($A837<>\"\",IF(ZOZNAM!M828=\"\",\"\",ZOZNAM!M828),\"\")","v":""},{"$f":"IF($A837<>\"\",IF(ZOZNAM!N828=\"\",\"\",ZOZNAM!N828),\"\")","v":"nie"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!O828=\"\",\"\",ZOZNAM!O828),\"\")","v":"nie"},{"$f":"IF($A837<>\"\",IF(ZOZNAM!P828=\"\",\"\",ZOZNAM!P828),\"\")","v":""},{"$f":"IF($A837<>\"\",IF(ZOZNAM!Q828=\"\",\"\",ZOZNAM!Q828),\"\")","v":""},{"$f":"IF($A837<>\"\",IF(ZOZNAM!R828=\"\",\"\",ZOZNAM!R828),\"\")","v":""},{"$f":"IF($A837<>\"\",IF(ZOZNAM!S828=\"\",\"\",ZOZNAM!S828),\"\")","v":""},{"$f":"IF($A837<>\"\",IF(ZOZNAM!T828=\"\",\"\",ZOZNAM!T828),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C829)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C829)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C829)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C829)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C829)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C829)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L829)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L829)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L829)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L829)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L829)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L829)),FALSE))),ZOZNAM!G829>=$C$9),ZOZNAM!A829,\"\")","v":"NS005"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!B829=\"\",\"\",ZOZNAM!B829),\"\")","v":"NATO School"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!C829=\"\",\"\",ZOZNAM!C829),\"\")","v":"Intelligence Analyst Course - Critical Thinking and Structured Analysis (CT&SA)"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!D829=\"\",\"\",ZOZNAM!D829),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!E829=\"\",\"\",ZOZNAM!E829),\"\")","v":5},{"$f":"IF($A838<>\"\",IF(ZOZNAM!F829=\"\",\"\",ZOZNAM!F829),\"\")","v":5},{"$f":"IF($A838<>\"\",IF(ZOZNAM!G829=\"\",\"\",ZOZNAM!G829),\"\")","v":"2020-10-19"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!H829=\"\",\"\",ZOZNAM!H829),\"\")","v":"2020-10-23"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!I829=\"\",\"\",ZOZNAM!I829),\"\")","v":"0 EUR"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!J829=\"\",\"\",ZOZNAM!J829),\"\")","v":""},{"$f":"IF($A838<>\"\",IF(ZOZNAM!K829=\"\",\"\",ZOZNAM!K829),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=4&TabId=155&language=en-US"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!L829=\"\",\"\",ZOZNAM!L829),\"\")","v":"IMPLEMENT CRITICAL THINKING SKILLS: Given references, the students will be able to implement critical thinking skills to analyse topic-associated data, information, and evidence, utilizing multiple analytical techniques IAW the DIA’s CT&SA participant handbook.\n\nAPPLY CRITICAL THINKING AND STRUCTURED ANALYTICAL TECHNIQUES: Given references, the students will be able to Identify and apply structured analytical techniques utilizing various methodologies IAW the DIA’s CT&SA participant handbook.\n\nASSESS INDIVIDUAL THINKING SKILLS BY MITIGATING BIASES: Given references, the students will be able to identify their personal biases and improve their thinking skills through implementation of bias mitigation strategies IAW the DIA’s CT&SA participant handbook.\n\nDEVELOP CONFIDENCE IN ANALYSIS AND CONCLUSIONS: Given references, the students will be able to increase confidence in their analysis and conclusions IAW the DIA’s CT&SA tradecraft.\n\nINTRODUCE INTELLIGENCE ANALYSIS IN NATO: Given references, the students will be able to explain the NATO doctrinal and organizational framework as well as current practise of intelligence analysis IAW NATO intelligence documents."},{"$f":"IF($A838<>\"\",IF(ZOZNAM!M829=\"\",\"\",ZOZNAM!M829),\"\")","v":"Applications through POC - strict selection criteria"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!N829=\"\",\"\",ZOZNAM!N829),\"\")","v":"nie"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!O829=\"\",\"\",ZOZNAM!O829),\"\")","v":"nie"},{"$f":"IF($A838<>\"\",IF(ZOZNAM!P829=\"\",\"\",ZOZNAM!P829),\"\")","v":""},{"$f":"IF($A838<>\"\",IF(ZOZNAM!Q829=\"\",\"\",ZOZNAM!Q829),\"\")","v":""},{"$f":"IF($A838<>\"\",IF(ZOZNAM!R829=\"\",\"\",ZOZNAM!R829),\"\")","v":""},{"$f":"IF($A838<>\"\",IF(ZOZNAM!S829=\"\",\"\",ZOZNAM!S829),\"\")","v":""},{"$f":"IF($A838<>\"\",IF(ZOZNAM!T829=\"\",\"\",ZOZNAM!T829),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C830)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C830)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C830)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C830)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C830)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C830)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L830)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L830)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L830)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L830)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L830)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L830)),FALSE))),ZOZNAM!G830>=$C$9),ZOZNAM!A830,\"\")","v":"PT019"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!B830=\"\",\"\",ZOZNAM!B830),\"\")","v":"PTV Group"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!C830=\"\",\"\",ZOZNAM!C830),\"\")","v":"Introduction to macroscopic network modelling"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!D830=\"\",\"\",ZOZNAM!D830),\"\")","v":"Online"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!E830=\"\",\"\",ZOZNAM!E830),\"\")","v":3},{"$f":"IF($A839<>\"\",IF(ZOZNAM!F830=\"\",\"\",ZOZNAM!F830),\"\")","v":3},{"$f":"IF($A839<>\"\",IF(ZOZNAM!G830=\"\",\"\",ZOZNAM!G830),\"\")","v":"2020-11-02"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!H830=\"\",\"\",ZOZNAM!H830),\"\")","v":"2020-11-04"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!I830=\"\",\"\",ZOZNAM!I830),\"\")","v":"1566 EUR"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!J830=\"\",\"\",ZOZNAM!J830),\"\")","v":""},{"$f":"IF($A839<>\"\",IF(ZOZNAM!K830=\"\",\"\",ZOZNAM!K830),\"\")","v":"https://www.ptvgroup.com/en/training/courses/tr-t0101/"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!L830=\"\",\"\",ZOZNAM!L830),\"\")","v":"This course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract. The PTV Visum introductory course addresses to transport planners with academic professional knowledge in the fields of transport planning and engineering or with practical experience in traffic and transport expertises. To specialist engineers, this training course provides an introduction into the PTV Visum practice for efficient processing and evaluation of traffic studies by means of a standard software."},{"$f":"IF($A839<>\"\",IF(ZOZNAM!M830=\"\",\"\",ZOZNAM!M830),\"\")","v":"You are familiar with the standard Office software tools (MS-Excel, MS-Word, OpenOffice.org, LibreOffice) that run with the operating system MS-Windows. You are able to use a conventional text editor (Notepad, Editor, TextPad, Notepad ++, etc.) for data editing. According to your professional background or due to your practical experience you are well-grounded in the field of transport planning."},{"$f":"IF($A839<>\"\",IF(ZOZNAM!N830=\"\",\"\",ZOZNAM!N830),\"\")","v":"nie"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!O830=\"\",\"\",ZOZNAM!O830),\"\")","v":"nie"},{"$f":"IF($A839<>\"\",IF(ZOZNAM!P830=\"\",\"\",ZOZNAM!P830),\"\")","v":""},{"$f":"IF($A839<>\"\",IF(ZOZNAM!Q830=\"\",\"\",ZOZNAM!Q830),\"\")","v":""},{"$f":"IF($A839<>\"\",IF(ZOZNAM!R830=\"\",\"\",ZOZNAM!R830),\"\")","v":""},{"$f":"IF($A839<>\"\",IF(ZOZNAM!S830=\"\",\"\",ZOZNAM!S830),\"\")","v":""},{"$f":"IF($A839<>\"\",IF(ZOZNAM!T830=\"\",\"\",ZOZNAM!T830),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C842)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C842)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C842)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C842)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C842)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C842)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L842)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L842)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L842)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L842)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L842)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L842)),FALSE))),ZOZNAM!G842>=$C$9),ZOZNAM!A842,\"\")","v":"TS017"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!B842=\"\",\"\",ZOZNAM!B842),\"\")","v":"Tstat"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!C842=\"\",\"\",ZOZNAM!C842),\"\")","v":"TIME SERIES MODELLING AND FORECASTING USING STATA"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!D842=\"\",\"\",ZOZNAM!D842),\"\")","v":"Online"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!E842=\"\",\"\",ZOZNAM!E842),\"\")","v":2},{"$f":"IF($A851<>\"\",IF(ZOZNAM!F842=\"\",\"\",ZOZNAM!F842),\"\")","v":2},{"$f":"IF($A851<>\"\",IF(ZOZNAM!G842=\"\",\"\",ZOZNAM!G842),\"\")","v":"2020-08-24"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!H842=\"\",\"\",ZOZNAM!H842),\"\")","v":"2020-08-25"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!I842=\"\",\"\",ZOZNAM!I842),\"\")","v":"824 EUR"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!J842=\"\",\"\",ZOZNAM!J842),\"\")","v":"2020-08-04"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!K842=\"\",\"\",ZOZNAM!K842),\"\")","v":"https://www.tstattraining.eu/training/time-series-modelling-and-forecasting-stata-ol/"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!L842=\"\",\"\",ZOZNAM!L842),\"\")","v":"The aim of this course is to show participants how to use Stata to perform analysis, modelling and forecasting of time series. The course provides an overview of methods for analysing, modelling and forecasting the dynamic behaviour of economic time series and offers several practical examples of empirical modelling using real-world data. The course does not require any previous knowledge of Stata, since Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series.\n\nIn common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises with Stata. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. At the end of the course, participants are expected to be able to autonomously implement the methods discussed in the course."},{"$f":"IF($A851<>\"\",IF(ZOZNAM!M842=\"\",\"\",ZOZNAM!M842),\"\")","v":"Course fees cover: course materials (handouts, Stata do files and datasets to be used during the course), a temporary licence of Stata valid for 30 days from the beginning of the course.\n\nIndividuals interested in attending the training course should contact TStat Training to ask for a registration form. The completed application should then be returned to TStat by 4th August 2020."},{"$f":"IF($A851<>\"\",IF(ZOZNAM!N842=\"\",\"\",ZOZNAM!N842),\"\")","v":"nie"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!O842=\"\",\"\",ZOZNAM!O842),\"\")","v":"nie"},{"$f":"IF($A851<>\"\",IF(ZOZNAM!P842=\"\",\"\",ZOZNAM!P842),\"\")","v":""},{"$f":"IF($A851<>\"\",IF(ZOZNAM!Q842=\"\",\"\",ZOZNAM!Q842),\"\")","v":""},{"$f":"IF($A851<>\"\",IF(ZOZNAM!R842=\"\",\"\",ZOZNAM!R842),\"\")","v":""},{"$f":"IF($A851<>\"\",IF(ZOZNAM!S842=\"\",\"\",ZOZNAM!S842),\"\")","v":""},{"$f":"IF($A851<>\"\",IF(ZOZNAM!T842=\"\",\"\",ZOZNAM!T842),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C843)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C843)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C843)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C843)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C843)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C843)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L843)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L843)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L843)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L843)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L843)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L843)),FALSE))),ZOZNAM!G843>=$C$9),ZOZNAM!A843,\"\")","v":"AC258"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!B843=\"\",\"\",ZOZNAM!B843),\"\")","v":"ACREA CR"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!C843=\"\",\"\",ZOZNAM!C843),\"\")","v":"ANALÝZA DAT VE ZDRAVOTNICTVÍ"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!D843=\"\",\"\",ZOZNAM!D843),\"\")","v":"Praha, Česko"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!E843=\"\",\"\",ZOZNAM!E843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!F843=\"\",\"\",ZOZNAM!F843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!G843=\"\",\"\",ZOZNAM!G843),\"\")","v":"TBD"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!H843=\"\",\"\",ZOZNAM!H843),\"\")","v":"TBD"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!I843=\"\",\"\",ZOZNAM!I843),\"\")","v":"540 EUR"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!J843=\"\",\"\",ZOZNAM!J843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!K843=\"\",\"\",ZOZNAM!K843),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-dat-ve-zdravotnictvi/"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!L843=\"\",\"\",ZOZNAM!L843),\"\")","v":"Úvodní statistický kurz analýzy dat ve zdravotnictví je uspořádán tak, aby zahrnoval základní témata a nejčastěji užívané metody se zaměřením na oblast medicíny a zdravotnictví (popisná statistika, testy hypotéz, korelační a regresní analýza).\nPROGRAM KURZU\núvod do problematiky zdravotnické statistiky, seznámení se základními pojmy\nmatice dat, typy proměnných\nkategorizovaná data: tabulka četností, grafy četností (sloupcový a koláčový graf)\nčíselné proměnné: kvantily, boxplot, průměr, směrodatná odchylka, intervaly spolehlivosti\ntřídění druhého stupně\nprincip testování statistických hypotéz, síla testu a velikost výběru\nT-testy, ANOVA\nneparametrické testy\nkorelační analýza\nlineární regrese\n"},{"$f":"IF($A852<>\"\",IF(ZOZNAM!M843=\"\",\"\",ZOZNAM!M843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!N843=\"\",\"\",ZOZNAM!N843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!O843=\"\",\"\",ZOZNAM!O843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!P843=\"\",\"\",ZOZNAM!P843),\"\")","v":1.9},{"$f":"IF($A852<>\"\",IF(ZOZNAM!Q843=\"\",\"\",ZOZNAM!Q843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!R843=\"\",\"\",ZOZNAM!R843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!S843=\"\",\"\",ZOZNAM!S843),\"\")","v":""},{"$f":"IF($A852<>\"\",IF(ZOZNAM!T843=\"\",\"\",ZOZNAM!T843),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C844)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C844)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C844)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C844)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C844)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C844)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L844)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L844)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L844)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L844)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L844)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L844)),FALSE))),ZOZNAM!G844>=$C$9),ZOZNAM!A844,\"\")","v":"AC259"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!B844=\"\",\"\",ZOZNAM!B844),\"\")","v":"ACREA CR"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!C844=\"\",\"\",ZOZNAM!C844),\"\")","v":"ANALÝZA DÉLKY ŽIVOTA"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!D844=\"\",\"\",ZOZNAM!D844),\"\")","v":"Praha, Česko"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!E844=\"\",\"\",ZOZNAM!E844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!F844=\"\",\"\",ZOZNAM!F844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!G844=\"\",\"\",ZOZNAM!G844),\"\")","v":"TBD"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!H844=\"\",\"\",ZOZNAM!H844),\"\")","v":"TBD"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!I844=\"\",\"\",ZOZNAM!I844),\"\")","v":"245 EUR"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!J844=\"\",\"\",ZOZNAM!J844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!K844=\"\",\"\",ZOZNAM!K844),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-delky-zivota/"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!L844=\"\",\"\",ZOZNAM!L844),\"\")","v":"Analýza délky trvání jevů (resp. doby do určité události) v souvislostech s různými vlivy umožňuje zkoumat záznamy z dlouhodobého sledování objektů (lidí, firem, výrobků apod.), u nichž někdy v průběhu času dochází ke sledované události (např. uzavření smlouvy, vznik pojistné události, odchod zákazníka ke konkurenci, porucha výrobku, výskyt nebo odeznění příznaků určitého onemocnění u pacienta). Předpokládá se, že v okamžiku vyhodnocení u některých objektů k události došlo, zatímco u jiných ne. Metody analýzy délky života umožňují nejen popsat situaci nebo odhadnout pravděpodobnost výskytu události v závislosti na čase, ale také posoudit vliv dalších faktorů či zavedení určitého opatření (změna léčby, nový marketingový přístup apod.).\nPROGRAM KURZU\nzákladní pojmy a předpoklady analýzy délky života\nfunkce přežití, hazard\ntabulky délky života\nKaplan – Meierovy modely\nCoxova regrese\nCoxova regrese s časově závislou kovariátou\n"},{"$f":"IF($A853<>\"\",IF(ZOZNAM!M844=\"\",\"\",ZOZNAM!M844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!N844=\"\",\"\",ZOZNAM!N844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!O844=\"\",\"\",ZOZNAM!O844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!P844=\"\",\"\",ZOZNAM!P844),\"\")","v":1.9},{"$f":"IF($A853<>\"\",IF(ZOZNAM!Q844=\"\",\"\",ZOZNAM!Q844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!R844=\"\",\"\",ZOZNAM!R844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!S844=\"\",\"\",ZOZNAM!S844),\"\")","v":""},{"$f":"IF($A853<>\"\",IF(ZOZNAM!T844=\"\",\"\",ZOZNAM!T844),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C845)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C845)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C845)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C845)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C845)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C845)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L845)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L845)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L845)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L845)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L845)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L845)),FALSE))),ZOZNAM!G845>=$C$9),ZOZNAM!A845,\"\")","v":"AC260"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!B845=\"\",\"\",ZOZNAM!B845),\"\")","v":"ACREA CR"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!C845=\"\",\"\",ZOZNAM!C845),\"\")","v":"BAYESOVSKÉ STRUKTURNÍ MODELOVÁNÍ"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!D845=\"\",\"\",ZOZNAM!D845),\"\")","v":"Praha, Česko"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!E845=\"\",\"\",ZOZNAM!E845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!F845=\"\",\"\",ZOZNAM!F845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!G845=\"\",\"\",ZOZNAM!G845),\"\")","v":"TBD"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!H845=\"\",\"\",ZOZNAM!H845),\"\")","v":"TBD"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!I845=\"\",\"\",ZOZNAM!I845),\"\")","v":"245 EUR"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!J845=\"\",\"\",ZOZNAM!J845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!K845=\"\",\"\",ZOZNAM!K845),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/bayesovske-strukturni-modelovani/"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!L845=\"\",\"\",ZOZNAM!L845),\"\")","v":"Bayesovská statistika je dnes plnohodnotnou alternativou k běžně užívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Používá se pro různé základní postupy (analogie t-testů, analýzy rozptylu a regresní analýzy), o nichž se lze více dozvědět v kurzu Úvod do bayesovské analýzy dat.\n\nKromě toho proniká i do složitějších postupů jako je strukturní modelování. Základní představení strukturních modelů je obsahem kurzu Modelování statistických vztahů (IBM SPSS Amos). Software IBM SPSS Amos umožňuje kromě klasického (frekvenčního) výpočtu používat i bayesovské strukturní modely. Kurz představí jednak základní logiku bayesovské analýzy dat, jednak praktické aplikace v prostředí IBM SPSS Amos.\n\nObecně lze bayesovské strukturní modely využít zejména pro tyto účely:\nNáš datový soubor je poměrně malý, ale z předchozích studií již známe přibližné hodnoty některých parametrů. \nNámi používané proměnné nejsou spojité, mají kratší ordinální stupnice a tak klasická metoda maximální věrohodnosti není pro odhad parametrů vhodná.\nNáš model měření (konfirmační faktorová analýza) není zcela ideální, lze totiž předpokládat, že některé vazby napříč faktory nebudou zcela nulové.\nNěkteré složitější modely nelze odhadnout.\n\nV kurzu se prakticky poukáže na možnosti regresního modelu, modelu úsekové analýzy a konfirmační faktorové analýzy v IBM SPSS Amos. Důraz bude kladen na přípravu modelu, jeho výpočet a interpretaci. V závěru pak bude poukázáno na složitější postupy.\n"},{"$f":"IF($A854<>\"\",IF(ZOZNAM!M845=\"\",\"\",ZOZNAM!M845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!N845=\"\",\"\",ZOZNAM!N845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!O845=\"\",\"\",ZOZNAM!O845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!P845=\"\",\"\",ZOZNAM!P845),\"\")","v":1.9},{"$f":"IF($A854<>\"\",IF(ZOZNAM!Q845=\"\",\"\",ZOZNAM!Q845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!R845=\"\",\"\",ZOZNAM!R845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!S845=\"\",\"\",ZOZNAM!S845),\"\")","v":""},{"$f":"IF($A854<>\"\",IF(ZOZNAM!T845=\"\",\"\",ZOZNAM!T845),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C846)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C846)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C846)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C846)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C846)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C846)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L846)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L846)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L846)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L846)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L846)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L846)),FALSE))),ZOZNAM!G846>=$C$9),ZOZNAM!A846,\"\")","v":"AC262"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!B846=\"\",\"\",ZOZNAM!B846),\"\")","v":"ACREA CR"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!C846=\"\",\"\",ZOZNAM!C846),\"\")","v":"HIERARCHICKÉ LINEÁRNÍ MODELOVÁNÍ"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!D846=\"\",\"\",ZOZNAM!D846),\"\")","v":"Praha, Česko"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!E846=\"\",\"\",ZOZNAM!E846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!F846=\"\",\"\",ZOZNAM!F846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!G846=\"\",\"\",ZOZNAM!G846),\"\")","v":"TBD"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!H846=\"\",\"\",ZOZNAM!H846),\"\")","v":"TBD"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!I846=\"\",\"\",ZOZNAM!I846),\"\")","v":"245 EIR"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!J846=\"\",\"\",ZOZNAM!J846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!K846=\"\",\"\",ZOZNAM!K846),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/hierarchicke-linearni-modelovani/"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!L846=\"\",\"\",ZOZNAM!L846),\"\")","v":"Model hierarchického lineárního modelování (často uváděný pod zkratkou HLM) zachycuje situaci, kdy jsou výběrové jednotky organizovány v postupně podřazených skupinkách, v nichž jsou pozorování korelována, a kde je porušen předpoklad nezávislých pozorování. Takové situace vznikají jak v reálném uskupení hierarchie skupinek v populaci, tak v důsledku výběrových postupů. Modely zahrnují analýzu rozptylu, regresní analýzu a jejich kombinace a vedou na tzv. smíšený regresní model (mixed models).\nPROGRAM KURZU\nhierarchický model\nproblémy lineárního modelu v situaci skupinek\nteoretické důvody pro jeho použití\nstatistické důvody pro jeho použití\nANOVA a ANCOVA v HLM\nHLM a smíšené lineární modely\nlineární model s fixními předpoklady\nnáhodné koeficienty\npřechod hierarchického modelu na smíšený model\nmodely dvou stupňů\nANOVA a ANCOVA\nrůzné aplikace\nrůzná rozšíření\n"},{"$f":"IF($A855<>\"\",IF(ZOZNAM!M846=\"\",\"\",ZOZNAM!M846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!N846=\"\",\"\",ZOZNAM!N846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!O846=\"\",\"\",ZOZNAM!O846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!P846=\"\",\"\",ZOZNAM!P846),\"\")","v":1.9},{"$f":"IF($A855<>\"\",IF(ZOZNAM!Q846=\"\",\"\",ZOZNAM!Q846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!R846=\"\",\"\",ZOZNAM!R846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!S846=\"\",\"\",ZOZNAM!S846),\"\")","v":""},{"$f":"IF($A855<>\"\",IF(ZOZNAM!T846=\"\",\"\",ZOZNAM!T846),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C847)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C847)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C847)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C847)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C847)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C847)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L847)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L847)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L847)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L847)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L847)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L847)),FALSE))),ZOZNAM!G847>=$C$9),ZOZNAM!A847,\"\")","v":"AC263"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!B847=\"\",\"\",ZOZNAM!B847),\"\")","v":"ACREA CR"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!C847=\"\",\"\",ZOZNAM!C847),\"\")","v":"IRT MODELY - TEORIE A APLIKACE"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!D847=\"\",\"\",ZOZNAM!D847),\"\")","v":"Online/Praha, Česko"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!E847=\"\",\"\",ZOZNAM!E847),\"\")","v":1},{"$f":"IF($A856<>\"\",IF(ZOZNAM!F847=\"\",\"\",ZOZNAM!F847),\"\")","v":1},{"$f":"IF($A856<>\"\",IF(ZOZNAM!G847=\"\",\"\",ZOZNAM!G847),\"\")","v":"2022-06-13"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!H847=\"\",\"\",ZOZNAM!H847),\"\")","v":"2022-06-13"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!I847=\"\",\"\",ZOZNAM!I847),\"\")","v":"245 EUR"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!J847=\"\",\"\",ZOZNAM!J847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!K847=\"\",\"\",ZOZNAM!K847),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/irt-modely/"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!L847=\"\",\"\",ZOZNAM!L847),\"\")","v":"IRT (item response theory, česky zpravidla teorie odpovědi na položku) se v posledních cca 20 letech stále častěji užívá v oborech jako psychologie či pedagogika místo klasické teorie testů (CTT). Na rozdíl od klasické teorie testů umožňují tyto modely zohlednit obtížnost, diskriminační schopnost a „uhádnutelnost“ jednotlivých testových položek a rovněž nabízejí jednodušší a věcně srozumitelnější interpretaci výsledků jednotlivých respondentů. IRT modely nacházejí uplatnění také v dalších oborech zejména společenských věd (sociologie, politologie apod.), kde se užívají k měření intenzity nejrůznějších postojů. Kromě základních úloh jako měření úrovně znalosti či postoje konkrétního respondenta v jednom časovém okamžiku, lze IRT modely snadno užít také k zajištění srovnatelnosti měření v opakovaných šetřeních (typicky panelových šetřeních na stejných respondentech) či k zajištění srovnatelnosti měření v různých populacích.\nPROGRAM KURZU\nCTT a IRT – rozdíly a podobnosti\nmatematická podstata IRT, parametry položek, jejich grafické zhodnocení a interpretace\n1-, 2- a 3-parametrický model, kritéria pro výběr modelu a jeho vyhodnocení\ndata vhodná pro IRT modelování a jejich příprava v IBM SPSS Statistics\nvýpočet 1-, 2- a 3-parametrického modelu, výběr „ideálního“ modelu a jeho vyhodnocení\ninterpretace parametrů položek, interpretace výsledků pro jednotlivce a práce s výsledky v dalších procedurách\npřehled dalších IRT modelů\nprocvičování\n"},{"$f":"IF($A856<>\"\",IF(ZOZNAM!M847=\"\",\"\",ZOZNAM!M847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!N847=\"\",\"\",ZOZNAM!N847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!O847=\"\",\"\",ZOZNAM!O847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!P847=\"\",\"\",ZOZNAM!P847),\"\")","v":1.9},{"$f":"IF($A856<>\"\",IF(ZOZNAM!Q847=\"\",\"\",ZOZNAM!Q847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!R847=\"\",\"\",ZOZNAM!R847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!S847=\"\",\"\",ZOZNAM!S847),\"\")","v":""},{"$f":"IF($A856<>\"\",IF(ZOZNAM!T847=\"\",\"\",ZOZNAM!T847),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C848)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C848)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C848)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C848)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C848)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C848)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L848)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L848)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L848)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L848)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L848)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L848)),FALSE))),ZOZNAM!G848>=$C$9),ZOZNAM!A848,\"\")","v":"AC265"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!B848=\"\",\"\",ZOZNAM!B848),\"\")","v":"ACREA CR"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!C848=\"\",\"\",ZOZNAM!C848),\"\")","v":"PLÁNOVÁNÍ VÝZKUMU: REPREZENTATIVITA"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!D848=\"\",\"\",ZOZNAM!D848),\"\")","v":"Praha, Česko"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!E848=\"\",\"\",ZOZNAM!E848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!F848=\"\",\"\",ZOZNAM!F848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!G848=\"\",\"\",ZOZNAM!G848),\"\")","v":"TBD"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!H848=\"\",\"\",ZOZNAM!H848),\"\")","v":"TBD"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!I848=\"\",\"\",ZOZNAM!I848),\"\")","v":"430 EUR + 21% DPH"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!J848=\"\",\"\",ZOZNAM!J848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!K848=\"\",\"\",ZOZNAM!K848),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/planovani-vyzkumu-reprezentativita/"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!L848=\"\",\"\",ZOZNAM!L848),\"\")","v":"Volba vhodné metody výběru, zajištění reprezentativnosti datového souboru a vyjádření přesnosti odhadů s ohledem na užitý design výběru jsou základními předpoklady pro úspěch celého výzkumu.\nPROGRAM KURZU\nplánování a příprava výzkumu, cíle výzkumu, přesnost výsledků versus finanční možnosti\nzákladní pojmy: populace a výběr, opora výběru, velikost výběru\nmetody výběru: typy výběru, strata, skupinky, vícestupňový výběr\npraktická cvičení v IBM SPSS Statistics: metody a realizace výběru, pravděpodobnost zahrnutí jednotky, designové váhy, odhad a vyjádření přesnosti odhadu, efekt designu\npřehled základních typů vah, zajištění reprezentativnosti výběru, konstrukce poststratifikačních vah\n"},{"$f":"IF($A857<>\"\",IF(ZOZNAM!M848=\"\",\"\",ZOZNAM!M848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!N848=\"\",\"\",ZOZNAM!N848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!O848=\"\",\"\",ZOZNAM!O848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!P848=\"\",\"\",ZOZNAM!P848),\"\")","v":1.9},{"$f":"IF($A857<>\"\",IF(ZOZNAM!Q848=\"\",\"\",ZOZNAM!Q848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!R848=\"\",\"\",ZOZNAM!R848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!S848=\"\",\"\",ZOZNAM!S848),\"\")","v":""},{"$f":"IF($A857<>\"\",IF(ZOZNAM!T848=\"\",\"\",ZOZNAM!T848),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C851)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C851)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C851)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C851)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C851)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C851)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L851)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L851)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L851)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L851)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L851)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L851)),FALSE))),ZOZNAM!G851>=$C$9),ZOZNAM!A851,\"\")","v":"BB002"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!B851=\"\",\"\",ZOZNAM!B851),\"\")","v":"Booth School of Business, University of Chicago"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!C851=\"\",\"\",ZOZNAM!C851),\"\")","v":"Financial Analysis for Nonfinancial Managers "},{"$f":"IF($A860<>\"\",IF(ZOZNAM!D851=\"\",\"\",ZOZNAM!D851),\"\")","v":"Chicago Booth, USA"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!E851=\"\",\"\",ZOZNAM!E851),\"\")","v":5},{"$f":"IF($A860<>\"\",IF(ZOZNAM!F851=\"\",\"\",ZOZNAM!F851),\"\")","v":5},{"$f":"IF($A860<>\"\",IF(ZOZNAM!G851=\"\",\"\",ZOZNAM!G851),\"\")","v":"2020-12-14"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!H851=\"\",\"\",ZOZNAM!H851),\"\")","v":"2020-12-18"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!I851=\"\",\"\",ZOZNAM!I851),\"\")","v":"10950 USD"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!J851=\"\",\"\",ZOZNAM!J851),\"\")","v":""},{"$f":"IF($A860<>\"\",IF(ZOZNAM!K851=\"\",\"\",ZOZNAM!K851),\"\")","v":"https://www.chicagobooth.edu/executiveeducation/programs/finance/financial-analysis-for-nonfinancial-managers"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!L851=\"\",\"\",ZOZNAM!L851),\"\")","v":"Gain a practical understanding of how to interpret and use internal and external financial reports to inform and influence the decision-making process. Once you know how to translate this financial information, you’ll be able to apply it to your business immediately."},{"$f":"IF($A860<>\"\",IF(ZOZNAM!M851=\"\",\"\",ZOZNAM!M851),\"\")","v":""},{"$f":"IF($A860<>\"\",IF(ZOZNAM!N851=\"\",\"\",ZOZNAM!N851),\"\")","v":"nie"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!O851=\"\",\"\",ZOZNAM!O851),\"\")","v":"nie"},{"$f":"IF($A860<>\"\",IF(ZOZNAM!P851=\"\",\"\",ZOZNAM!P851),\"\")","v":""},{"$f":"IF($A860<>\"\",IF(ZOZNAM!Q851=\"\",\"\",ZOZNAM!Q851),\"\")","v":""},{"$f":"IF($A860<>\"\",IF(ZOZNAM!R851=\"\",\"\",ZOZNAM!R851),\"\")","v":""},{"$f":"IF($A860<>\"\",IF(ZOZNAM!S851=\"\",\"\",ZOZNAM!S851),\"\")","v":""},{"$f":"IF($A860<>\"\",IF(ZOZNAM!T851=\"\",\"\",ZOZNAM!T851),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C852)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C852)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C852)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C852)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C852)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C852)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L852)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L852)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L852)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L852)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L852)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L852)),FALSE))),ZOZNAM!G852>=$C$9),ZOZNAM!A852,\"\")","v":"BU150"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!B852=\"\",\"\",ZOZNAM!B852),\"\")","v":"Budapest School for Central Bank Studies "},{"$f":"IF($A861<>\"\",IF(ZOZNAM!C852=\"\",\"\",ZOZNAM!C852),\"\")","v":"New Techniques in Macroeconometrics with Applications to Policy and Forecasting"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!D852=\"\",\"\",ZOZNAM!D852),\"\")","v":"Budapešť, Maďarsko"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!E852=\"\",\"\",ZOZNAM!E852),\"\")","v":5},{"$f":"IF($A861<>\"\",IF(ZOZNAM!F852=\"\",\"\",ZOZNAM!F852),\"\")","v":5},{"$f":"IF($A861<>\"\",IF(ZOZNAM!G852=\"\",\"\",ZOZNAM!G852),\"\")","v":"2021-08-02"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!H852=\"\",\"\",ZOZNAM!H852),\"\")","v":"2021-08-06"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!I852=\"\",\"\",ZOZNAM!I852),\"\")","v":"1400 EUR"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!J852=\"\",\"\",ZOZNAM!J852),\"\")","v":"2021-07-05"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!K852=\"\",\"\",ZOZNAM!K852),\"\")","v":"https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!L852=\"\",\"\",ZOZNAM!L852),\"\")","v":"Topics covered\nBayesian Econometrics: model  selection,  BVARs,DSGE_BVARs, Large  Bvars.\nSimulation  methods: Metropolis-Hastings, Gibbs, Sequential Monte Carlo. Application to  online  estimation of  DSGEs\nLinear and  nonlinear  state  space  models: estimation and simulation smoothers. Applications to Global trends in  interest  rates, Hanks  models, forecasting and  historical decomposition  in  DSGE  models.\nCombining  models  for  forecasting  and  policy  analysis: optimal  pools  and  dynamics  pools.\n"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!M852=\"\",\"\",ZOZNAM!M852),\"\")","v":""},{"$f":"IF($A861<>\"\",IF(ZOZNAM!N852=\"\",\"\",ZOZNAM!N852),\"\")","v":"nie"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!O852=\"\",\"\",ZOZNAM!O852),\"\")","v":"nie"},{"$f":"IF($A861<>\"\",IF(ZOZNAM!P852=\"\",\"\",ZOZNAM!P852),\"\")","v":""},{"$f":"IF($A861<>\"\",IF(ZOZNAM!Q852=\"\",\"\",ZOZNAM!Q852),\"\")","v":""},{"$f":"IF($A861<>\"\",IF(ZOZNAM!R852=\"\",\"\",ZOZNAM!R852),\"\")","v":""},{"$f":"IF($A861<>\"\",IF(ZOZNAM!S852=\"\",\"\",ZOZNAM!S852),\"\")","v":""},{"$f":"IF($A861<>\"\",IF(ZOZNAM!T852=\"\",\"\",ZOZNAM!T852),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C873)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C873)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C873)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C873)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C873)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C873)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L873)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L873)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L873)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L873)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L873)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L873)),FALSE))),ZOZNAM!G873>=$C$9),ZOZNAM!A873,\"\")","v":"BK001"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!B873=\"\",\"\",ZOZNAM!B873),\"\")","v":"University of California Berkeley"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!C873=\"\",\"\",ZOZNAM!C873),\"\")","v":"Financial Data Analysis for Leaders"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!D873=\"\",\"\",ZOZNAM!D873),\"\")","v":"Berkeley, USA"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!E873=\"\",\"\",ZOZNAM!E873),\"\")","v":5},{"$f":"IF($A882<>\"\",IF(ZOZNAM!F873=\"\",\"\",ZOZNAM!F873),\"\")","v":5},{"$f":"IF($A882<>\"\",IF(ZOZNAM!G873=\"\",\"\",ZOZNAM!G873),\"\")","v":"2020-10-19"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!H873=\"\",\"\",ZOZNAM!H873),\"\")","v":"2020-10-23"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!I873=\"\",\"\",ZOZNAM!I873),\"\")","v":"7500 USD"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!J873=\"\",\"\",ZOZNAM!J873),\"\")","v":""},{"$f":"IF($A882<>\"\",IF(ZOZNAM!K873=\"\",\"\",ZOZNAM!K873),\"\")","v":"https://executive.berkeley.edu/programs/financial-analysis-leaders?utm_source=economist&utm_medium=referral"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!L873=\"\",\"\",ZOZNAM!L873),\"\")","v":"Understanding financial information is essential for assessing a company’s health and making strategic decisions that significantly impact performance.\n\nIt’s essential for senior business leaders to deepen their knowledge and expertise in financial analysis. With the ability to interpret and apply financial information to their decision-making process, executives will enhance their leadership capabilities and profile and their organization’s potential for success."},{"$f":"IF($A882<>\"\",IF(ZOZNAM!M873=\"\",\"\",ZOZNAM!M873),\"\")","v":""},{"$f":"IF($A882<>\"\",IF(ZOZNAM!N873=\"\",\"\",ZOZNAM!N873),\"\")","v":"nie"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!O873=\"\",\"\",ZOZNAM!O873),\"\")","v":"nie"},{"$f":"IF($A882<>\"\",IF(ZOZNAM!P873=\"\",\"\",ZOZNAM!P873),\"\")","v":""},{"$f":"IF($A882<>\"\",IF(ZOZNAM!Q873=\"\",\"\",ZOZNAM!Q873),\"\")","v":""},{"$f":"IF($A882<>\"\",IF(ZOZNAM!R873=\"\",\"\",ZOZNAM!R873),\"\")","v":""},{"$f":"IF($A882<>\"\",IF(ZOZNAM!S873=\"\",\"\",ZOZNAM!S873),\"\")","v":""},{"$f":"IF($A882<>\"\",IF(ZOZNAM!T873=\"\",\"\",ZOZNAM!T873),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C874)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C874)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C874)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C874)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C874)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C874)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L874)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L874)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L874)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L874)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L874)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L874)),FALSE))),ZOZNAM!G874>=$C$9),ZOZNAM!A874,\"\")","v":"OU016"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!B874=\"\",\"\",ZOZNAM!B874),\"\")","v":"University of Oxford"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!C874=\"\",\"\",ZOZNAM!C874),\"\")","v":"Oxford Social Finance Programme"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!D874=\"\",\"\",ZOZNAM!D874),\"\")","v":"Oxford, Veľká Británia"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!E874=\"\",\"\",ZOZNAM!E874),\"\")","v":5},{"$f":"IF($A883<>\"\",IF(ZOZNAM!F874=\"\",\"\",ZOZNAM!F874),\"\")","v":7},{"$f":"IF($A883<>\"\",IF(ZOZNAM!G874=\"\",\"\",ZOZNAM!G874),\"\")","v":"2021-02-08"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!H874=\"\",\"\",ZOZNAM!H874),\"\")","v":"2021-02-14"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!I874=\"\",\"\",ZOZNAM!I874),\"\")","v":"7500 GBP"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!J874=\"\",\"\",ZOZNAM!J874),\"\")","v":""},{"$f":"IF($A883<>\"\",IF(ZOZNAM!K874=\"\",\"\",ZOZNAM!K874),\"\")","v":"https://www.sbs.ox.ac.uk/programmes/oxford-social-finance-programme"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!L874=\"\",\"\",ZOZNAM!L874),\"\")","v":"Global, systemic challenges as outlined by the UN SDGs (sustainable development goals) demand innovation which traditional financing mechanisms fail to address. Social finance builds a blended capital approach to address issues on a national or international scale. \n\nSolving issues such as climate change, gender equality, and food security requires innovative capital and this is provided by social finance.\n\nYou will:\n\nDiscover how deliberate leadership and effective policy can tackle some of the world's most complex problems\nLearn how grants, donations and high-return investments blend together to create innovative fund structures and large scale impact\nGain insight of social finance tools including catalytic philanthropy, public private partnerships, social and development impact bonds\nCEO level guest speakers from major, international foundations and NGOs will share their experience on implementing large scale social programmes."},{"$f":"IF($A883<>\"\",IF(ZOZNAM!M874=\"\",\"\",ZOZNAM!M874),\"\")","v":"Programme fee includes all tuition, education materials, all daytime refreshments and evening meals including one at a college.\n\nAccommodation – this is a non-residential programme. We can book accommodation for you and bill it alongside your programme fee, please indicate requirements on your application form.\n\nRegistrations are confirmed on receipt of full payment of the programme fee, and places are allocated in order of receipt of payment.\n\nThere are ten 50% scholarship places available for people working for and funded by an aid or development agency non-profits, NGO, or other organisation in the not for profit sector. For more information on how to apply for a scholarship contact Annabelle Richards."},{"$f":"IF($A883<>\"\",IF(ZOZNAM!N874=\"\",\"\",ZOZNAM!N874),\"\")","v":"nie"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!O874=\"\",\"\",ZOZNAM!O874),\"\")","v":"nie"},{"$f":"IF($A883<>\"\",IF(ZOZNAM!P874=\"\",\"\",ZOZNAM!P874),\"\")","v":""},{"$f":"IF($A883<>\"\",IF(ZOZNAM!Q874=\"\",\"\",ZOZNAM!Q874),\"\")","v":""},{"$f":"IF($A883<>\"\",IF(ZOZNAM!R874=\"\",\"\",ZOZNAM!R874),\"\")","v":""},{"$f":"IF($A883<>\"\",IF(ZOZNAM!S874=\"\",\"\",ZOZNAM!S874),\"\")","v":""},{"$f":"IF($A883<>\"\",IF(ZOZNAM!T874=\"\",\"\",ZOZNAM!T874),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C875)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C875)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C875)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C875)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C875)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C875)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L875)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L875)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L875)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L875)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L875)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L875)),FALSE))),ZOZNAM!G875>=$C$9),ZOZNAM!A875,\"\")","v":"UA001"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!B875=\"\",\"\",ZOZNAM!B875),\"\")","v":"University of Amsterdam"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!C875=\"\",\"\",ZOZNAM!C875),\"\")","v":"Big Data for Managers"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!D875=\"\",\"\",ZOZNAM!D875),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!E875=\"\",\"\",ZOZNAM!E875),\"\")","v":2},{"$f":"IF($A884<>\"\",IF(ZOZNAM!F875=\"\",\"\",ZOZNAM!F875),\"\")","v":2},{"$f":"IF($A884<>\"\",IF(ZOZNAM!G875=\"\",\"\",ZOZNAM!G875),\"\")","v":"2020-10-05"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!H875=\"\",\"\",ZOZNAM!H875),\"\")","v":"2020-10-06"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!I875=\"\",\"\",ZOZNAM!I875),\"\")","v":"1950 EUR + DPH"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!J875=\"\",\"\",ZOZNAM!J875),\"\")","v":""},{"$f":"IF($A884<>\"\",IF(ZOZNAM!K875=\"\",\"\",ZOZNAM!K875),\"\")","v":"https://abs.uva.nl/content/open-programmes-abs/big-data-for-managers/big-data-for-managers.html?origin=i/V%2BeuegSq6W7p8flnfldA&cb#Dates-and-fees"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!L875=\"\",\"\",ZOZNAM!L875),\"\")","v":"In 2 days, you learn everything you need to know to help your company or team become more data-driven. You will be able to develop ideas and implement the structure required to bring data science and data analytics to a higher level within your organisation. In addition to the theory and workshop sessions, the masterclass provides you with an opportunity to share your experiences with like-minded professionals who are also keen on expanding their analytics strategies.\n\nDuring this 2-day programme you will acquire:\n\nan in-depth understanding of big data terms and definitions.\na basic understanding of analytics methodologies, such as forecasting, machine learning and segmentation\nan overview of big data technology, including data storage, analytical engines and resource management.\nan understanding of how big data can strategically benefit your organisation.\nan understanding of analytics maturity and your organisation’s next steps.\ninsights into the implementation requirements of big data and analytics strategies."},{"$f":"IF($A884<>\"\",IF(ZOZNAM!M875=\"\",\"\",ZOZNAM!M875),\"\")","v":"V cene certifikát"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!N875=\"\",\"\",ZOZNAM!N875),\"\")","v":"nie"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!O875=\"\",\"\",ZOZNAM!O875),\"\")","v":"nie"},{"$f":"IF($A884<>\"\",IF(ZOZNAM!P875=\"\",\"\",ZOZNAM!P875),\"\")","v":""},{"$f":"IF($A884<>\"\",IF(ZOZNAM!Q875=\"\",\"\",ZOZNAM!Q875),\"\")","v":""},{"$f":"IF($A884<>\"\",IF(ZOZNAM!R875=\"\",\"\",ZOZNAM!R875),\"\")","v":""},{"$f":"IF($A884<>\"\",IF(ZOZNAM!S875=\"\",\"\",ZOZNAM!S875),\"\")","v":""},{"$f":"IF($A884<>\"\",IF(ZOZNAM!T875=\"\",\"\",ZOZNAM!T875),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C876)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C876)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C876)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C876)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C876)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C876)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L876)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L876)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L876)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L876)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L876)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L876)),FALSE))),ZOZNAM!G876>=$C$9),ZOZNAM!A876,\"\")","v":"ER001"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!B876=\"\",\"\",ZOZNAM!B876),\"\")","v":"Erasmus University Rotterdam"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!C876=\"\",\"\",ZOZNAM!C876),\"\")","v":"Digital Analytics"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!D876=\"\",\"\",ZOZNAM!D876),\"\")","v":"Rotterdam, Holandsko"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!E876=\"\",\"\",ZOZNAM!E876),\"\")","v":3},{"$f":"IF($A885<>\"\",IF(ZOZNAM!F876=\"\",\"\",ZOZNAM!F876),\"\")","v":3},{"$f":"IF($A885<>\"\",IF(ZOZNAM!G876=\"\",\"\",ZOZNAM!G876),\"\")","v":"2020-10-05"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!H876=\"\",\"\",ZOZNAM!H876),\"\")","v":"2020-10-07"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!I876=\"\",\"\",ZOZNAM!I876),\"\")","v":"3500 EUR + DPH"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!J876=\"\",\"\",ZOZNAM!J876),\"\")","v":""},{"$f":"IF($A885<>\"\",IF(ZOZNAM!K876=\"\",\"\",ZOZNAM!K876),\"\")","v":"https://www.rsm.nl/executive-education/open-programmes/programmes/digital-analytics/overview/"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!L876=\"\",\"\",ZOZNAM!L876),\"\")","v":"This three-day workshop provides you with the tools needed to manage the enormity of big data through analytics, and teaches you data management strategies to leverage value-adding opportunities, for example through online marketing. You will build a solid understanding of trends and developments, and learn methods to collect, analyse and manage data.\n\nOur data analytics expert will teach you how to embed big data management practices in your organisation, and to develop a data-driven strategy for your department or organisation that monetizes or optimises data assets for growth and innovation. This programme covers a range of topics based on a strategic view of data management. Armed with the language of data scientists and engineers, you will learn how to critically assess and evaluate business intelligence such as data collection methods, digital analytics, and modelling processes."},{"$f":"IF($A885<>\"\",IF(ZOZNAM!M876=\"\",\"\",ZOZNAM!M876),\"\")","v":""},{"$f":"IF($A885<>\"\",IF(ZOZNAM!N876=\"\",\"\",ZOZNAM!N876),\"\")","v":"nie"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!O876=\"\",\"\",ZOZNAM!O876),\"\")","v":"nie"},{"$f":"IF($A885<>\"\",IF(ZOZNAM!P876=\"\",\"\",ZOZNAM!P876),\"\")","v":""},{"$f":"IF($A885<>\"\",IF(ZOZNAM!Q876=\"\",\"\",ZOZNAM!Q876),\"\")","v":""},{"$f":"IF($A885<>\"\",IF(ZOZNAM!R876=\"\",\"\",ZOZNAM!R876),\"\")","v":""},{"$f":"IF($A885<>\"\",IF(ZOZNAM!S876=\"\",\"\",ZOZNAM!S876),\"\")","v":""},{"$f":"IF($A885<>\"\",IF(ZOZNAM!T876=\"\",\"\",ZOZNAM!T876),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C877)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C877)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C877)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C877)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C877)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C877)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L877)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L877)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L877)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L877)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L877)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L877)),FALSE))),ZOZNAM!G877>=$C$9),ZOZNAM!A877,\"\")","v":"VE001"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!B877=\"\",\"\",ZOZNAM!B877),\"\")","v":"Vienna University of Economics and Business"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!C877=\"\",\"\",ZOZNAM!C877),\"\")","v":"Data Science"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!D877=\"\",\"\",ZOZNAM!D877),\"\")","v":"Viedeň, Rakúsko"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!E877=\"\",\"\",ZOZNAM!E877),\"\")","v":85},{"$f":"IF($A886<>\"\",IF(ZOZNAM!F877=\"\",\"\",ZOZNAM!F877),\"\")","v":123},{"$f":"IF($A886<>\"\",IF(ZOZNAM!G877=\"\",\"\",ZOZNAM!G877),\"\")","v":"2020-10-14"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!H877=\"\",\"\",ZOZNAM!H877),\"\")","v":"2021-02-13"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!I877=\"\",\"\",ZOZNAM!I877),\"\")","v":"11400 EUR"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!J877=\"\",\"\",ZOZNAM!J877),\"\")","v":"2020-09-30"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!K877=\"\",\"\",ZOZNAM!K877),\"\")","v":"https://executiveacademy.at/en/programs/continuing-education/digitalization-technology/data-science#"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!L877=\"\",\"\",ZOZNAM!L877),\"\")","v":"This applied program takes your data skills to the next level, shows you how to build big data pipelines as well as analytics processes and how to apply what you have learned in the context of real projects. At the end of the program, you will be able to apply all the methods dealt with and will have gathered an overview about the opportunities that open up as a data scientist. “Data Science” will guide you and your company to the future and provide you with the knowledge and skills necessary to be your organization’s data scientist. Help your company to get on the fast lane – master the big data challenge!"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!M877=\"\",\"\",ZOZNAM!M877),\"\")","v":"Schedule\nModule 1: What is Data Science? Concepts & Application Domains (4 days)\nOctober 14-17, 2020\nModule 2: From Data Science to Big Data (4 days)\nNovember 18-21, 2020\nModule 3: Data Science in Practice and in the Future (4 days)\nFebruary 10-13, 2021"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!N877=\"\",\"\",ZOZNAM!N877),\"\")","v":"nie"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!O877=\"\",\"\",ZOZNAM!O877),\"\")","v":"nie"},{"$f":"IF($A886<>\"\",IF(ZOZNAM!P877=\"\",\"\",ZOZNAM!P877),\"\")","v":""},{"$f":"IF($A886<>\"\",IF(ZOZNAM!Q877=\"\",\"\",ZOZNAM!Q877),\"\")","v":""},{"$f":"IF($A886<>\"\",IF(ZOZNAM!R877=\"\",\"\",ZOZNAM!R877),\"\")","v":""},{"$f":"IF($A886<>\"\",IF(ZOZNAM!S877=\"\",\"\",ZOZNAM!S877),\"\")","v":""},{"$f":"IF($A886<>\"\",IF(ZOZNAM!T877=\"\",\"\",ZOZNAM!T877),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C878)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C878)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C878)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C878)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C878)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C878)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L878)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L878)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L878)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L878)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L878)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L878)),FALSE))),ZOZNAM!G878>=$C$9),ZOZNAM!A878,\"\")","v":"IB004"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!B878=\"\",\"\",ZOZNAM!B878),\"\")","v":"Imperial College Business School"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!C878=\"\",\"\",ZOZNAM!C878),\"\")","v":"Fintech Programme"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!D878=\"\",\"\",ZOZNAM!D878),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!E878=\"\",\"\",ZOZNAM!E878),\"\")","v":2},{"$f":"IF($A887<>\"\",IF(ZOZNAM!F878=\"\",\"\",ZOZNAM!F878),\"\")","v":2},{"$f":"IF($A887<>\"\",IF(ZOZNAM!G878=\"\",\"\",ZOZNAM!G878),\"\")","v":"2020-11-09"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!H878=\"\",\"\",ZOZNAM!H878),\"\")","v":"2020-11-10"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!I878=\"\",\"\",ZOZNAM!I878),\"\")","v":"2950 GBP (3400 EUR)"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!J878=\"\",\"\",ZOZNAM!J878),\"\")","v":"do 1 mesiaca od obdržania faktúry"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!K878=\"\",\"\",ZOZNAM!K878),\"\")","v":"https://www.imperial.ac.uk/business-school/executive-education/short-courses/fintech-programme/"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!L878=\"\",\"\",ZOZNAM!L878),\"\")","v":"Fintech course overview\nThis immersive two-day Imperial Fintech course develops a hands-on understanding of the different elements of fintech and how they are disrupting financial and banking sectors. The programme introduces participants to the origins of banking and explores how digital transformation has remodelled the sector, creating alternative finance models and a new wave of digital banks.\n\nFintech Banking Programme\nParticipants will gain insights into the different elements of fintech such as APIs, blockchain and machine learning, and how they can be applied to various financial and banking scenarios. Imperial College Business School finance faculty and fintech industry leaders will blend academic thinking with technological discovery to give a holistic understanding of how the fintech ecosystem operate"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!M878=\"\",\"\",ZOZNAM!M878),\"\")","v":""},{"$f":"IF($A887<>\"\",IF(ZOZNAM!N878=\"\",\"\",ZOZNAM!N878),\"\")","v":"nie"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!O878=\"\",\"\",ZOZNAM!O878),\"\")","v":"nie"},{"$f":"IF($A887<>\"\",IF(ZOZNAM!P878=\"\",\"\",ZOZNAM!P878),\"\")","v":""},{"$f":"IF($A887<>\"\",IF(ZOZNAM!Q878=\"\",\"\",ZOZNAM!Q878),\"\")","v":""},{"$f":"IF($A887<>\"\",IF(ZOZNAM!R878=\"\",\"\",ZOZNAM!R878),\"\")","v":""},{"$f":"IF($A887<>\"\",IF(ZOZNAM!S878=\"\",\"\",ZOZNAM!S878),\"\")","v":""},{"$f":"IF($A887<>\"\",IF(ZOZNAM!T878=\"\",\"\",ZOZNAM!T878),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C879)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C879)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C879)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C879)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C879)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C879)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L879)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L879)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L879)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L879)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L879)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L879)),FALSE))),ZOZNAM!G879>=$C$9),ZOZNAM!A879,\"\")","v":"IB005"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!B879=\"\",\"\",ZOZNAM!B879),\"\")","v":"Imperial College Business School"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!C879=\"\",\"\",ZOZNAM!C879),\"\")","v":"Fintech Programme"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!D879=\"\",\"\",ZOZNAM!D879),\"\")","v":"Online"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!E879=\"\",\"\",ZOZNAM!E879),\"\")","v":26},{"$f":"IF($A888<>\"\",IF(ZOZNAM!F879=\"\",\"\",ZOZNAM!F879),\"\")","v":36},{"$f":"IF($A888<>\"\",IF(ZOZNAM!G879=\"\",\"\",ZOZNAM!G879),\"\")","v":"2020-11-13"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!H879=\"\",\"\",ZOZNAM!H879),\"\")","v":"2020-12-18"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!I879=\"\",\"\",ZOZNAM!I879),\"\")","v":"1800 GBP (2075 EUR)"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!J879=\"\",\"\",ZOZNAM!J879),\"\")","v":""},{"$f":"IF($A888<>\"\",IF(ZOZNAM!K879=\"\",\"\",ZOZNAM!K879),\"\")","v":"https://www.imperial.ac.uk/business-school/executive-education/short-courses/fintech-programme/#orientation-week"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!L879=\"\",\"\",ZOZNAM!L879),\"\")","v":"Fintech course overview\nThis immersive two-day Imperial Fintech course develops a hands-on understanding of the different elements of fintech and how they are disrupting financial and banking sectors. The programme introduces participants to the origins of banking and explores how digital transformation has remodelled the sector, creating alternative finance models and a new wave of digital banks.\n\nFintech Banking Programme\nParticipants will gain insights into the different elements of fintech such as APIs, blockchain and machine learning, and how they can be applied to various financial and banking scenarios. Imperial College Business School finance faculty and fintech industry leaders will blend academic thinking with technological discovery to give a holistic understanding of how the fintech ecosystem operate"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!M879=\"\",\"\",ZOZNAM!M879),\"\")","v":""},{"$f":"IF($A888<>\"\",IF(ZOZNAM!N879=\"\",\"\",ZOZNAM!N879),\"\")","v":"nie"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!O879=\"\",\"\",ZOZNAM!O879),\"\")","v":"nie"},{"$f":"IF($A888<>\"\",IF(ZOZNAM!P879=\"\",\"\",ZOZNAM!P879),\"\")","v":""},{"$f":"IF($A888<>\"\",IF(ZOZNAM!Q879=\"\",\"\",ZOZNAM!Q879),\"\")","v":""},{"$f":"IF($A888<>\"\",IF(ZOZNAM!R879=\"\",\"\",ZOZNAM!R879),\"\")","v":""},{"$f":"IF($A888<>\"\",IF(ZOZNAM!S879=\"\",\"\",ZOZNAM!S879),\"\")","v":""},{"$f":"IF($A888<>\"\",IF(ZOZNAM!T879=\"\",\"\",ZOZNAM!T879),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C880)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C880)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C880)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C880)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C880)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C880)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L880)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L880)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L880)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L880)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L880)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L880)),FALSE))),ZOZNAM!G880>=$C$9),ZOZNAM!A880,\"\")","v":"IN001"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!B880=\"\",\"\",ZOZNAM!B880),\"\")","v":"INSEAD Business School"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!C880=\"\",\"\",ZOZNAM!C880),\"\")","v":"Advanced International Corporate Finance"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!D880=\"\",\"\",ZOZNAM!D880),\"\")","v":"Fontainebleau, Francúzsko"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!E880=\"\",\"\",ZOZNAM!E880),\"\")","v":5},{"$f":"IF($A889<>\"\",IF(ZOZNAM!F880=\"\",\"\",ZOZNAM!F880),\"\")","v":5},{"$f":"IF($A889<>\"\",IF(ZOZNAM!G880=\"\",\"\",ZOZNAM!G880),\"\")","v":"2020-11-02"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!H880=\"\",\"\",ZOZNAM!H880),\"\")","v":"2020-11-06"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!I880=\"\",\"\",ZOZNAM!I880),\"\")","v":"9500 EUR"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!J880=\"\",\"\",ZOZNAM!J880),\"\")","v":"poplatok musí byť inštitúciou obdržaný pred začiatkom kurzu"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!K880=\"\",\"\",ZOZNAM!K880),\"\")","v":"https://www.insead.edu/executive-education/finance/advanced-international-corporate-finance-apply"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!L880=\"\",\"\",ZOZNAM!L880),\"\")","v":"Financial decisions such as Investments, Mergers and Acquisitions, Financing, Risk Management, Valuation and Payout Policy all have international dimensions. But in today’s constantly shifting global economy and turbulent business environment, such decisions are rendered more complex and challenging than ever before. In particular, global differences in regulation, taxation, exchange risk, political risk and governance quality all have an impact on the way financial decisions should be made. To succeed, and take their knowledge of corporate finance to the next level, finance professionals need a solid understanding of these international complexities.\n\nThe INSEAD Advanced International Corporate Finance programme will help you develop a strategic understanding of key financial decisions faced by organisations today by putting them into an international context. The programme will challenge existing frameworks and techniques and will help you to think beyond your national or regional context by studying advanced international case studies developed and written by INSEAD faculty.\n\nINSEAD’s finance professors, who are responsible for designing and delivering the programme, are among the most highly ranked in the world for their research. And your peers in the INSEAD classroom will come from leading international companies. Together, they will challenge your preconceptions, broaden your global outlook and help take your performance to new levels."},{"$f":"IF($A889<>\"\",IF(ZOZNAM!M880=\"\",\"\",ZOZNAM!M880),\"\")","v":""},{"$f":"IF($A889<>\"\",IF(ZOZNAM!N880=\"\",\"\",ZOZNAM!N880),\"\")","v":"nie"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!O880=\"\",\"\",ZOZNAM!O880),\"\")","v":"nie"},{"$f":"IF($A889<>\"\",IF(ZOZNAM!P880=\"\",\"\",ZOZNAM!P880),\"\")","v":""},{"$f":"IF($A889<>\"\",IF(ZOZNAM!Q880=\"\",\"\",ZOZNAM!Q880),\"\")","v":""},{"$f":"IF($A889<>\"\",IF(ZOZNAM!R880=\"\",\"\",ZOZNAM!R880),\"\")","v":""},{"$f":"IF($A889<>\"\",IF(ZOZNAM!S880=\"\",\"\",ZOZNAM!S880),\"\")","v":""},{"$f":"IF($A889<>\"\",IF(ZOZNAM!T880=\"\",\"\",ZOZNAM!T880),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C881)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C881)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C881)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C881)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C881)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C881)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L881)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L881)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L881)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L881)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L881)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L881)),FALSE))),ZOZNAM!G881>=$C$9),ZOZNAM!A881,\"\")","v":"LO250"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!B881=\"\",\"\",ZOZNAM!B881),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!C881=\"\",\"\",ZOZNAM!C881),\"\")","v":"Fixed Income: Markets, Securities and Institutions"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!D881=\"\",\"\",ZOZNAM!D881),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!E881=\"\",\"\",ZOZNAM!E881),\"\")","v":5},{"$f":"IF($A890<>\"\",IF(ZOZNAM!F881=\"\",\"\",ZOZNAM!F881),\"\")","v":5},{"$f":"IF($A890<>\"\",IF(ZOZNAM!G881=\"\",\"\",ZOZNAM!G881),\"\")","v":"2020-11-02"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!H881=\"\",\"\",ZOZNAM!H881),\"\")","v":"2020-11-06"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!I881=\"\",\"\",ZOZNAM!I881),\"\")","v":"7295 GBP"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!J881=\"\",\"\",ZOZNAM!J881),\"\")","v":""},{"$f":"IF($A890<>\"\",IF(ZOZNAM!K881=\"\",\"\",ZOZNAM!K881),\"\")","v":"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/finance/fixed-income-markets-securities-and-institutions"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!L881=\"\",\"\",ZOZNAM!L881),\"\")","v":"The Fixed Income: Markets, Securities and Institutions course has been designed to equip professionals working in financial services with a deeper understanding of the key concepts and institutional knowledge that underpins the world’s largest and most complex market.\n\nTaught by Professor Martin Oehmke, a leading faculty member of the number one Finance department in Europe, this unique course attracts interest from a wide range of senior professionals from across the world. Small classes of carefully selected participants help ensure an engaging and highly effective learning experience that includes interactive lectures, hands-on exercises and lively classroom discussions with faculty and peers."},{"$f":"IF($A890<>\"\",IF(ZOZNAM!M881=\"\",\"\",ZOZNAM!M881),\"\")","v":""},{"$f":"IF($A890<>\"\",IF(ZOZNAM!N881=\"\",\"\",ZOZNAM!N881),\"\")","v":"nie"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!O881=\"\",\"\",ZOZNAM!O881),\"\")","v":"nie"},{"$f":"IF($A890<>\"\",IF(ZOZNAM!P881=\"\",\"\",ZOZNAM!P881),\"\")","v":""},{"$f":"IF($A890<>\"\",IF(ZOZNAM!Q881=\"\",\"\",ZOZNAM!Q881),\"\")","v":""},{"$f":"IF($A890<>\"\",IF(ZOZNAM!R881=\"\",\"\",ZOZNAM!R881),\"\")","v":""},{"$f":"IF($A890<>\"\",IF(ZOZNAM!S881=\"\",\"\",ZOZNAM!S881),\"\")","v":""},{"$f":"IF($A890<>\"\",IF(ZOZNAM!T881=\"\",\"\",ZOZNAM!T881),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C882)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C882)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C882)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C882)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C882)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C882)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L882)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L882)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L882)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L882)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L882)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L882)),FALSE))),ZOZNAM!G882>=$C$9),ZOZNAM!A882,\"\")","v":"LB001"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!B882=\"\",\"\",ZOZNAM!B882),\"\")","v":"London Business School"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!C882=\"\",\"\",ZOZNAM!C882),\"\")","v":"Valuation"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!D882=\"\",\"\",ZOZNAM!D882),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!E882=\"\",\"\",ZOZNAM!E882),\"\")","v":5},{"$f":"IF($A891<>\"\",IF(ZOZNAM!F882=\"\",\"\",ZOZNAM!F882),\"\")","v":5},{"$f":"IF($A891<>\"\",IF(ZOZNAM!G882=\"\",\"\",ZOZNAM!G882),\"\")","v":"2020-11-02"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!H882=\"\",\"\",ZOZNAM!H882),\"\")","v":"2020-11-06"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!I882=\"\",\"\",ZOZNAM!I882),\"\")","v":"7700 GBP"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!J882=\"\",\"\",ZOZNAM!J882),\"\")","v":""},{"$f":"IF($A891<>\"\",IF(ZOZNAM!K882=\"\",\"\",ZOZNAM!K882),\"\")","v":"https://www.london.edu/executive-education/finance/valuation"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!L882=\"\",\"\",ZOZNAM!L882),\"\")","v":"Do you really know a company's worth? The more quantitative the model, the better the valuation. Take your corporate finance knowledge and insight to the next level.\n\nGood for you\n\nEquip yourself with rigorous valuation tools, and learn how to value real investment projects, stocks and bonds, and cross-border investments.\nDeepen your knowledge of assets and liabilities, make better financial decisions and discover how to value alternative assets.\nBenefit from hands-on technical know-how to calculate the cost of capital, value real assets and think about investment decisions.\nDevelop an in-depth understanding of capital market behaviour, risk and net present value.\nEquip yourself with rigorous valuation tools and learn to make sound judgement calls about the value of your business.\nDevelop the confidence to lead on restructuring, mergers and acquisitions, financing challenges and opportunities facing your organisation.\nGood for your organisation\n\nDrive the right investment decisions. Gain an in-depth understanding of both your company and your numbers.\nMaximise your company’s potential, increasing portfolio returns, identifying the best projects and optimising funding choices."},{"$f":"IF($A891<>\"\",IF(ZOZNAM!M882=\"\",\"\",ZOZNAM!M882),\"\")","v":"includes lunch and dinner"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!N882=\"\",\"\",ZOZNAM!N882),\"\")","v":"nie"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!O882=\"\",\"\",ZOZNAM!O882),\"\")","v":"nie"},{"$f":"IF($A891<>\"\",IF(ZOZNAM!P882=\"\",\"\",ZOZNAM!P882),\"\")","v":""},{"$f":"IF($A891<>\"\",IF(ZOZNAM!Q882=\"\",\"\",ZOZNAM!Q882),\"\")","v":""},{"$f":"IF($A891<>\"\",IF(ZOZNAM!R882=\"\",\"\",ZOZNAM!R882),\"\")","v":""},{"$f":"IF($A891<>\"\",IF(ZOZNAM!S882=\"\",\"\",ZOZNAM!S882),\"\")","v":""},{"$f":"IF($A891<>\"\",IF(ZOZNAM!T882=\"\",\"\",ZOZNAM!T882),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C883)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C883)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C883)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C883)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C883)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C883)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L883)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L883)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L883)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L883)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L883)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L883)),FALSE))),ZOZNAM!G883>=$C$9),ZOZNAM!A883,\"\")","v":"FF001"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!B883=\"\",\"\",ZOZNAM!B883),\"\")","v":"Frankfurt School of Finance & Management"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!C883=\"\",\"\",ZOZNAM!C883),\"\")","v":"Use Cases and Projects in Finance, Banking and Insurance"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!D883=\"\",\"\",ZOZNAM!D883),\"\")","v":"Frankfurt nad Mohanom, Nemecko"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!E883=\"\",\"\",ZOZNAM!E883),\"\")","v":1},{"$f":"IF($A892<>\"\",IF(ZOZNAM!F883=\"\",\"\",ZOZNAM!F883),\"\")","v":1},{"$f":"IF($A892<>\"\",IF(ZOZNAM!G883=\"\",\"\",ZOZNAM!G883),\"\")","v":"2020-11-25"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!H883=\"\",\"\",ZOZNAM!H883),\"\")","v":"2020-11-25"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!I883=\"\",\"\",ZOZNAM!I883),\"\")","v":"must be inquired"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!J883=\"\",\"\",ZOZNAM!J883),\"\")","v":""},{"$f":"IF($A892<>\"\",IF(ZOZNAM!K883=\"\",\"\",ZOZNAM!K883),\"\")","v":"https://frankfurt-school-pdf.data-room.de/downloads/pdfs/seminars_d5e879f5.pdf"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!L883=\"\",\"\",ZOZNAM!L883),\"\")","v":"Participants learn about the application of blockchain technology in business. To this end, use cases from finance, banking and insurance will be presented and explained. The technology stack used for these examples will be explained in detail.\n\nWho should"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!M883=\"\",\"\",ZOZNAM!M883),\"\")","v":""},{"$f":"IF($A892<>\"\",IF(ZOZNAM!N883=\"\",\"\",ZOZNAM!N883),\"\")","v":"nie"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!O883=\"\",\"\",ZOZNAM!O883),\"\")","v":"nie"},{"$f":"IF($A892<>\"\",IF(ZOZNAM!P883=\"\",\"\",ZOZNAM!P883),\"\")","v":""},{"$f":"IF($A892<>\"\",IF(ZOZNAM!Q883=\"\",\"\",ZOZNAM!Q883),\"\")","v":""},{"$f":"IF($A892<>\"\",IF(ZOZNAM!R883=\"\",\"\",ZOZNAM!R883),\"\")","v":""},{"$f":"IF($A892<>\"\",IF(ZOZNAM!S883=\"\",\"\",ZOZNAM!S883),\"\")","v":""},{"$f":"IF($A892<>\"\",IF(ZOZNAM!T883=\"\",\"\",ZOZNAM!T883),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C884)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C884)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C884)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C884)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C884)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C884)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L884)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L884)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L884)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L884)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L884)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L884)),FALSE))),ZOZNAM!G884>=$C$9),ZOZNAM!A884,\"\")","v":"LB002"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!B884=\"\",\"\",ZOZNAM!B884),\"\")","v":"London Business School"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!C884=\"\",\"\",ZOZNAM!C884),\"\")","v":"Project and Infrastructure Finance"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!D884=\"\",\"\",ZOZNAM!D884),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!E884=\"\",\"\",ZOZNAM!E884),\"\")","v":5},{"$f":"IF($A893<>\"\",IF(ZOZNAM!F884=\"\",\"\",ZOZNAM!F884),\"\")","v":5},{"$f":"IF($A893<>\"\",IF(ZOZNAM!G884=\"\",\"\",ZOZNAM!G884),\"\")","v":"2020-12-07"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!H884=\"\",\"\",ZOZNAM!H884),\"\")","v":"2020-12-11"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!I884=\"\",\"\",ZOZNAM!I884),\"\")","v":"7700 GBP"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!J884=\"\",\"\",ZOZNAM!J884),\"\")","v":""},{"$f":"IF($A893<>\"\",IF(ZOZNAM!K884=\"\",\"\",ZOZNAM!K884),\"\")","v":"https://www.london.edu/executive-education/finance/project-and-infrastructure-finance"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!L884=\"\",\"\",ZOZNAM!L884),\"\")","v":"Master the technical dynamics of investment in large-scale projects and connect with other global professionals in this unique growth industry.\n\nGood for you\n\nGain the confidence to successfully navigate the entire project finance process - from initial agreement to completion.\nExplore successful – and unsuccessful – examples of project and infrastructure finance.\nUnderstand what lenders are looking for and how to align their needs with yours.\nRestructure projects in distress for optimal results, sharing insights with a global and highly talented cohort.\nExplore project finance through real-world case studies, examining the latest industry techniques with world-leading faculty."},{"$f":"IF($A893<>\"\",IF(ZOZNAM!M884=\"\",\"\",ZOZNAM!M884),\"\")","v":"includes lunch and dinner"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!N884=\"\",\"\",ZOZNAM!N884),\"\")","v":"nie"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!O884=\"\",\"\",ZOZNAM!O884),\"\")","v":"nie"},{"$f":"IF($A893<>\"\",IF(ZOZNAM!P884=\"\",\"\",ZOZNAM!P884),\"\")","v":""},{"$f":"IF($A893<>\"\",IF(ZOZNAM!Q884=\"\",\"\",ZOZNAM!Q884),\"\")","v":""},{"$f":"IF($A893<>\"\",IF(ZOZNAM!R884=\"\",\"\",ZOZNAM!R884),\"\")","v":""},{"$f":"IF($A893<>\"\",IF(ZOZNAM!S884=\"\",\"\",ZOZNAM!S884),\"\")","v":""},{"$f":"IF($A893<>\"\",IF(ZOZNAM!T884=\"\",\"\",ZOZNAM!T884),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C885)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C885)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C885)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C885)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C885)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C885)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L885)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L885)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L885)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L885)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L885)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L885)),FALSE))),ZOZNAM!G885>=$C$9),ZOZNAM!A885,\"\")","v":"LB003"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!B885=\"\",\"\",ZOZNAM!B885),\"\")","v":"London Business School"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!C885=\"\",\"\",ZOZNAM!C885),\"\")","v":"Financial Strategies for Value Creation"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!D885=\"\",\"\",ZOZNAM!D885),\"\")","v":"Londýn, Veľká Británia"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!E885=\"\",\"\",ZOZNAM!E885),\"\")","v":5},{"$f":"IF($A894<>\"\",IF(ZOZNAM!F885=\"\",\"\",ZOZNAM!F885),\"\")","v":5},{"$f":"IF($A894<>\"\",IF(ZOZNAM!G885=\"\",\"\",ZOZNAM!G885),\"\")","v":"2020-12-07"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!H885=\"\",\"\",ZOZNAM!H885),\"\")","v":"2020-12-11"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!I885=\"\",\"\",ZOZNAM!I885),\"\")","v":"7700 GBP"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!J885=\"\",\"\",ZOZNAM!J885),\"\")","v":""},{"$f":"IF($A894<>\"\",IF(ZOZNAM!K885=\"\",\"\",ZOZNAM!K885),\"\")","v":"https://www.london.edu/executive-education/finance/financial-strategies-for-value-creation"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!L885=\"\",\"\",ZOZNAM!L885),\"\")","v":"Discover the financial strategies behind some of the world’s most successful companies. Sharpen your thinking and increase your impact.\n\nGood for you\n\nLearn to make the right strategic decisions at the right time.\nGain practical tools to create value based on your debt/equity mix.\nBroaden your knowledge and develop confidence with an in-depth understanding of different restructuring and funding options.\nMake smarter financial decisions through a better understanding of the practical application of risk management.\nUndertake long-term financial planning. Explore research evidence and find out how - and when - stock prices respond.\nGood for your organisation\n\nGain a holistic view and develop the skills to design your company’s capital structure and risk management strategy.\nApply real-life lessons from public companies to create value for unlisted ones.\nDiscover how the world’s top value creators perform, and how you could do better.\nGain the critical capability to assess the merits and pitfalls of restructuring.\nLearn psychological tactics to help your company gain competitive advantage and create substantial value."},{"$f":"IF($A894<>\"\",IF(ZOZNAM!M885=\"\",\"\",ZOZNAM!M885),\"\")","v":"includes lunch and dinner"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!N885=\"\",\"\",ZOZNAM!N885),\"\")","v":"nie"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!O885=\"\",\"\",ZOZNAM!O885),\"\")","v":"nie"},{"$f":"IF($A894<>\"\",IF(ZOZNAM!P885=\"\",\"\",ZOZNAM!P885),\"\")","v":""},{"$f":"IF($A894<>\"\",IF(ZOZNAM!Q885=\"\",\"\",ZOZNAM!Q885),\"\")","v":""},{"$f":"IF($A894<>\"\",IF(ZOZNAM!R885=\"\",\"\",ZOZNAM!R885),\"\")","v":""},{"$f":"IF($A894<>\"\",IF(ZOZNAM!S885=\"\",\"\",ZOZNAM!S885),\"\")","v":""},{"$f":"IF($A894<>\"\",IF(ZOZNAM!T885=\"\",\"\",ZOZNAM!T885),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C886)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C886)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C886)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C886)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C886)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C886)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L886)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L886)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L886)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L886)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L886)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L886)),FALSE))),ZOZNAM!G886>=$C$9),ZOZNAM!A886,\"\")","v":"ER002"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!B886=\"\",\"\",ZOZNAM!B886),\"\")","v":"Erasmus University Rotterdam"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!C886=\"\",\"\",ZOZNAM!C886),\"\")","v":"Sustainable Finance"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!D886=\"\",\"\",ZOZNAM!D886),\"\")","v":"Rotterdam, Holandsko"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!E886=\"\",\"\",ZOZNAM!E886),\"\")","v":3},{"$f":"IF($A895<>\"\",IF(ZOZNAM!F886=\"\",\"\",ZOZNAM!F886),\"\")","v":3},{"$f":"IF($A895<>\"\",IF(ZOZNAM!G886=\"\",\"\",ZOZNAM!G886),\"\")","v":"2020-12-09"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!H886=\"\",\"\",ZOZNAM!H886),\"\")","v":"2020-12-11"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!I886=\"\",\"\",ZOZNAM!I886),\"\")","v":"3075 EUR + 21% VAT"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!J886=\"\",\"\",ZOZNAM!J886),\"\")","v":""},{"$f":"IF($A895<>\"\",IF(ZOZNAM!K886=\"\",\"\",ZOZNAM!K886),\"\")","v":"https://www.rsm.nl/executive-education/open-programmes/programmes/sustainable-finance/overview/"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!L886=\"\",\"\",ZOZNAM!L886),\"\")","v":"Sustainable Finance\nHow can the financial sector contribute, or even speed up, businesses’ transition to long-term value creation within a sustainable economy? If it means combining financial, social and environmental values, what pathways and challenges are there for sustainable investing and lending?\n\nLong-term value creation\n\nThe key challenge is to plan for a long term integration of the financial, social and environmental dimensions. The why, what and how of integrated and sustainable finance are addressed in this three-day RSM Executive Education programme. During workshop sessions you will learn practical tools for implementing sustainable investing and lending, and explore the change management issues that put it in motion.\n\nRSM’s world-class academics and leading experts in asset management and banking will show you how social and environmental dimensions can be integrated without sacrificing returns. After the course you will be able to contribute to a financial sector which fulfils its role in society by allocating funds towards sustainable companies and projects.\n\nThe Sustainable Finance programme will show you the newest skills and methods for sustainable investing and lending, which you can adopt in your own business."},{"$f":"IF($A895<>\"\",IF(ZOZNAM!M886=\"\",\"\",ZOZNAM!M886),\"\")","v":"includes packaged lunch and dinner"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!N886=\"\",\"\",ZOZNAM!N886),\"\")","v":"nie"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!O886=\"\",\"\",ZOZNAM!O886),\"\")","v":"nie"},{"$f":"IF($A895<>\"\",IF(ZOZNAM!P886=\"\",\"\",ZOZNAM!P886),\"\")","v":""},{"$f":"IF($A895<>\"\",IF(ZOZNAM!Q886=\"\",\"\",ZOZNAM!Q886),\"\")","v":""},{"$f":"IF($A895<>\"\",IF(ZOZNAM!R886=\"\",\"\",ZOZNAM!R886),\"\")","v":""},{"$f":"IF($A895<>\"\",IF(ZOZNAM!S886=\"\",\"\",ZOZNAM!S886),\"\")","v":""},{"$f":"IF($A895<>\"\",IF(ZOZNAM!T886=\"\",\"\",ZOZNAM!T886),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C887)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C887)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C887)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C887)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C887)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C887)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L887)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L887)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L887)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L887)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L887)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L887)),FALSE))),ZOZNAM!G887>=$C$9),ZOZNAM!A887,\"\")","v":"WH002"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!B887=\"\",\"\",ZOZNAM!B887),\"\")","v":"World Health Organisation"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!C887=\"\",\"\",ZOZNAM!C887),\"\")","v":"Occupational health and safety for health workers in the context of COVID-19"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!D887=\"\",\"\",ZOZNAM!D887),\"\")","v":"self-paced"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!E887=\"\",\"\",ZOZNAM!E887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!F887=\"\",\"\",ZOZNAM!F887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!G887=\"\",\"\",ZOZNAM!G887),\"\")","v":"self-paced"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!H887=\"\",\"\",ZOZNAM!H887),\"\")","v":"self-paced"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!I887=\"\",\"\",ZOZNAM!I887),\"\")","v":"0 EUR"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!J887=\"\",\"\",ZOZNAM!J887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!K887=\"\",\"\",ZOZNAM!K887),\"\")","v":"https://openwho.org/courses/COVID-19-occupational-health-and-safety"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!L887=\"\",\"\",ZOZNAM!L887),\"\")","v":"Overview: In the context of the COVID-19 pandemic, working conditions for health workers may deteriorate. In addition to the risks of infection with COVID-19, health workers continue to experience other occupational health and safety risks of biological, physical or psychosocial nature. Therefore, for the protection of physical and mental health, safety and well-being of health workers, WHO recommends a combination of measures for infection prevention and control, occupational health and safety and psychosocial support.\n\nHealth workers participating in pandemic response are exposed to many different occupational risks to health and safety. These include: COVID-19 infection, illness, and transmission to others; fatigue from working longer hours and heavy workload, insufficient sleep or rest, dehydration, and inadequate nutrition; musculoskeletal injury from handling of patients and heavy objects, prolonged work while using personal protective equipment which can cause heat stress, skin and mucosal damage; workplace violence and stigma, and a variety of mental health problems, emotional distress and occupational burn-out.\n\nThe target audience for this course is health workers, incident managers, supervisors and administrators who make policies and protocols for their health facilities.\n\nLearning objectives: By the end of this course, you should be able to:\n\ndescribe the most common occupational risks to health and safety to which health workers are exposed while responding to the COVID-19 pandemic;\ndescribe the rights of health workers to decent working conditions;\ndescribe how to apply measures for protecting their health and safety and actively propose improvements; and\naccess and use supportive services for protection of health and safety of health workers.\nCourse duration: Approximately 1 hour.\n\nCertificates: A Record of Achievement certificate will be available to participants who score at least 80% of the total points available across all of the quizzes.\n\nCourse contents\nIntroduction:\nThis introductory module gives an overview of occupational health and safety in the context of COVID-19.\nModule 1: Infectious risks to health and safety:\nBy the end of this module, you should be able to: explain how health workers can be exposed to infectious hazards; describe how respiratory infections and bloodborne pathogens are transmitted to health workers; and describe the steps that health workers can take to protect themselves from respiratory infections: standard precautions and control measures to prevent different infections.\nModule 2: Physical risks to health and safety:\nBy the end of this module, you should be able to: list the major risk factors for musculoskeletal disorders in the health sector; describe high risk activities when handling patients; and describe the major types of occupational hazards that health workers face and how to prevent them.\nModule 3: Psychosocial risks to health and safety:\nBy the end of this module, you should be able to: list the major sources of psychosocial risks for health workers; describe the signs of fatigue and how to prevent it; describe the risk factors, signs and preventive actions for workplace violence; and describe how health workers and managers can protect and support mental health.\nModule 4: Basic occupational health and safety in health services:\nBy the end of this module, you should be able to: describe the responsibilities of employers and managers in occupational health safety and describe actions that can be taken by health workers to promote occupational health and safety."},{"$f":"IF($A896<>\"\",IF(ZOZNAM!M887=\"\",\"\",ZOZNAM!M887),\"\")","v":"certificate possible - Gain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments."},{"$f":"IF($A896<>\"\",IF(ZOZNAM!N887=\"\",\"\",ZOZNAM!N887),\"\")","v":"nie"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!O887=\"\",\"\",ZOZNAM!O887),\"\")","v":"áno"},{"$f":"IF($A896<>\"\",IF(ZOZNAM!P887=\"\",\"\",ZOZNAM!P887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!Q887=\"\",\"\",ZOZNAM!Q887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!R887=\"\",\"\",ZOZNAM!R887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!S887=\"\",\"\",ZOZNAM!S887),\"\")","v":""},{"$f":"IF($A896<>\"\",IF(ZOZNAM!T887=\"\",\"\",ZOZNAM!T887),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C888)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C888)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C888)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C888)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C888)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C888)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L888)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L888)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L888)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L888)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L888)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L888)),FALSE))),ZOZNAM!G888>=$C$9),ZOZNAM!A888,\"\")","v":"WH003"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!B888=\"\",\"\",ZOZNAM!B888),\"\")","v":"World Health Organisation"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!C888=\"\",\"\",ZOZNAM!C888),\"\")","v":"Migration and Health: Enhancing Intercultural Competence and Diversity Sensitivity"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!D888=\"\",\"\",ZOZNAM!D888),\"\")","v":"self-paced"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!E888=\"\",\"\",ZOZNAM!E888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!F888=\"\",\"\",ZOZNAM!F888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!G888=\"\",\"\",ZOZNAM!G888),\"\")","v":"self-paced"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!H888=\"\",\"\",ZOZNAM!H888),\"\")","v":"self-paced"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!I888=\"\",\"\",ZOZNAM!I888),\"\")","v":"0 EUR"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!J888=\"\",\"\",ZOZNAM!J888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!K888=\"\",\"\",ZOZNAM!K888),\"\")","v":"https://openwho.org/courses/intercultural-competence-in-migration"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!L888=\"\",\"\",ZOZNAM!L888),\"\")","v":"Course information\nOverview: The course is aimed at health authorities at national, subnational and local levels, as well as health care practitioners, researchers, patients and caregivers. It provides:\n\nan accessible introduction to the key concepts underpinning intercultural competence and diversity sensitivity;\nan overview of the types of action that can be taken to improve health care at organizational, systemic, professional and individual health care provider levels;\nseveral case studies to examine methods and techniques that can be used to promote migrant participation at different stages of policy and practice; and\nan overview of factors to be considered in any initiative developed to promote intercultural competence and diversity sensitivity in health care.\nLearning objectives: By the end of this course, participants should be able to:\n\nexplain the need for interculturally competent and diversity-sensitive health care;\n\nexplain the importance of education and training in intercultural competence;\n\nrecognize the importance of trained interpreters and intercultural mediators in health care; and\n\nidentify the practical and ethical issues affecting the migrant patients through community participation.\n\nCourse duration: Approximately 2 hours 20 minutes.\n\nCertificates: Participants can gain a Record of Achievement by earning at least 80% on the final assessment.\n\nCourse contents\nModule 1 - Introduction:\nBy the end of this module, participants should be able to: discuss the challenges faced by health services due to migration of culturally diverse populations; explain the need for interculturally competent and diversity-sensitive health care; and define the key terms relating to heterogeneous groups mentioned in the toolkit.\nModule 2 - Intercultural Competence and Diversity Sensitivity:\nBy the end of this module, participants should be able to: define the key concepts related to cultural competence; explain why interculturally competent and diversity-sensitive health care is necessary; and describe the four-dimensional model for increasing intercultural competence and diversity sensitivity in the health sector.\nModule 3 - Health Sector Responses:\nBy the end of this module, participants should be able to: explain the importance of education and training in intercultural competence; recognize the importance of trained interpreters in health care; and identify the role of intercultural mediators.\nModule 4: Community Participation:\nBy the end of this module, participants should be able to: explain the importance of participatory approaches in health care; identify the practical and ethical issues affecting migrant patients through community participation; and identify and explain the tools used in different stages of health care.\nModule 5 - Key Questions for Policy-makers and Practitioners:\nBy the end of this module, participants should be able to: identify the key questions that need to be asked at different domains to work towards intercultural competence and diversity sensitivity.\nFinal Assessment"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!M888=\"\",\"\",ZOZNAM!M888),\"\")","v":"certificate possible - Gain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments."},{"$f":"IF($A897<>\"\",IF(ZOZNAM!N888=\"\",\"\",ZOZNAM!N888),\"\")","v":"nie"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!O888=\"\",\"\",ZOZNAM!O888),\"\")","v":"áno"},{"$f":"IF($A897<>\"\",IF(ZOZNAM!P888=\"\",\"\",ZOZNAM!P888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!Q888=\"\",\"\",ZOZNAM!Q888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!R888=\"\",\"\",ZOZNAM!R888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!S888=\"\",\"\",ZOZNAM!S888),\"\")","v":""},{"$f":"IF($A897<>\"\",IF(ZOZNAM!T888=\"\",\"\",ZOZNAM!T888),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C889)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C889)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C889)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C889)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C889)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C889)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L889)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L889)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L889)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L889)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L889)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L889)),FALSE))),ZOZNAM!G889>=$C$9),ZOZNAM!A889,\"\")","v":"WH004"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!B889=\"\",\"\",ZOZNAM!B889),\"\")","v":"World Health Organisation"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!C889=\"\",\"\",ZOZNAM!C889),\"\")","v":"WHO COVID-19 Mass Gatherings Risk Assessment Training"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!D889=\"\",\"\",ZOZNAM!D889),\"\")","v":"self-paced"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!E889=\"\",\"\",ZOZNAM!E889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!F889=\"\",\"\",ZOZNAM!F889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!G889=\"\",\"\",ZOZNAM!G889),\"\")","v":"self-paced"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!H889=\"\",\"\",ZOZNAM!H889),\"\")","v":"self-paced"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!I889=\"\",\"\",ZOZNAM!I889),\"\")","v":"0 EUR"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!J889=\"\",\"\",ZOZNAM!J889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!K889=\"\",\"\",ZOZNAM!K889),\"\")","v":"https://openwho.org/courses/WHO-COVID-19-mass-gatherings-risk-assessment-training"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!L889=\"\",\"\",ZOZNAM!L889),\"\")","v":"Course information\nOverview: The training describes the risk assessment exercise that WHO has developed to aid health authorities and event organizers in their planning for upcoming mass gatherings amid the current COVID-19 pandemic. WHO has developed a set of COVID-19 risk assessments tools dedicated to generic mass gatherings as well as to sports specific and religious specific mass gatherings. It should be noted, however, that general considerations and advice applicable to the organization of mass gatherings, and addressing risks of any origin, should also be taken into account when planning an event. These risk assessments provide a user-friendly way for health authorities and organizers to understand the level of risk an upcoming mass gathering may hold in further spreading COVID-19, both within a country and globally. All of the tools mentioned can be found on the WHO website. The course has been developed in collaboration with the Johns Hopkins Center for Health Security, WHO Collaborating Centre on Global Health Security.\n\nLearning Objectives: By the end of this course, learners should be able to:\n\ndefine mass gathering and the risk posed by it;\nexplain how a risk assessment can help with public health planning;\nlist the steps involved in:\nconducting a generic risk assessment for mass gatherings,\nconducting a risk assessment for religious mass gatherings,\nconducting a generic risk assessment for sporting mass gatherings; and\nscore risk associated with an upcoming mass gathering and identify ways to increase the safety of participants.\nCourse duration: Approximately 1 hour.\n\nCertificates: A Confirmation of Participation will be available to participants who complete 100% of the course material.\n\nPlease note: The materials used in this course are currently being revised to reflect updates to the technical content. All course participants will be notified once these updates have been made.\n\nCourse contents\nModule 1: Introduction to Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: explain what a mass gathering is and describe the role of risk assessments and their role in public health planning.\nModule 2: Generic Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: list the steps involved in a generic mass gathering risk assessment; and determine an overall risk score using the WHO risk assessment tool and taking into account modification and mitigation measures.\nModule 3: Sporting Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: list the steps involved in a sporting mass gathering risk assessment; and determine an overall risk score using the WHO risk assessment tool and taking into account modification and mitigation measures.\nModule 4: Religious Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: list the steps involved in a religious mass gathering risk assessment; and determine an overall risk score using the WHO risk assessment tool and taking into account modification and mitigation measures.\nEnroll me for this course\nThe course is free. Just register for an account on OpenWHO and take the course!\nLearners enrolled:30048\nCertificate Requirements\nGain a confirmation of participation by completing at least 100% of the course material.\nMore information"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!M889=\"\",\"\",ZOZNAM!M889),\"\")","v":"Gain a confirmation of participation by completing at least 100% of the course material."},{"$f":"IF($A898<>\"\",IF(ZOZNAM!N889=\"\",\"\",ZOZNAM!N889),\"\")","v":"nie"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!O889=\"\",\"\",ZOZNAM!O889),\"\")","v":"nie"},{"$f":"IF($A898<>\"\",IF(ZOZNAM!P889=\"\",\"\",ZOZNAM!P889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!Q889=\"\",\"\",ZOZNAM!Q889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!R889=\"\",\"\",ZOZNAM!R889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!S889=\"\",\"\",ZOZNAM!S889),\"\")","v":""},{"$f":"IF($A898<>\"\",IF(ZOZNAM!T889=\"\",\"\",ZOZNAM!T889),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C890)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C890)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C890)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C890)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C890)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C890)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L890)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L890)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L890)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L890)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L890)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L890)),FALSE))),ZOZNAM!G890>=$C$9),ZOZNAM!A890,\"\")","v":"WH005"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!B890=\"\",\"\",ZOZNAM!B890),\"\")","v":"World Health Organisation"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!C890=\"\",\"\",ZOZNAM!C890),\"\")","v":"Emerging respiratory viruses, including COVID-19: methods for detection, prevention, response and control"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!D890=\"\",\"\",ZOZNAM!D890),\"\")","v":"self-paced"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!E890=\"\",\"\",ZOZNAM!E890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!F890=\"\",\"\",ZOZNAM!F890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!G890=\"\",\"\",ZOZNAM!G890),\"\")","v":"self-paced"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!H890=\"\",\"\",ZOZNAM!H890),\"\")","v":"self-paced"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!I890=\"\",\"\",ZOZNAM!I890),\"\")","v":"0 EUR"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!J890=\"\",\"\",ZOZNAM!J890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!K890=\"\",\"\",ZOZNAM!K890),\"\")","v":"https://openwho.org/courses/introduction-to-ncov"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!L890=\"\",\"\",ZOZNAM!L890),\"\")","v":"Overview: This course provides a general introduction to emerging respiratory viruses, including novel coronaviruses. By the end of this course, you should be able to describe:\n\nThe nature of emerging respiratory viruses, how to detect and assess an outbreak, strategies for preventing and controlling outbreaks due to novel respiratory viruses;\nWhat strategies should be used to communicate risk and engage communities to detect, prevent and respond to the emergence of a novel respiratory virus.\nThere are resources attached to each module to help you dive further into this topic.\n\nLearning objective: Describe the fundamental principles of emerging respiratory viruses and how to effectively respond to an outbreak.\n\nCourse duration: Approximately 3 hours.\n\nCertificates: A Record of Achievement certificate will be available to participants who score at least 80% of the total points available across all of the quizzes.\n\nAs the official disease name was established after material creation, any mention of nCoV refers to COVID-19, the infectious disease caused by the most recently discovered coronavirus.\n\nCourse contents\nEmerging respiratory viruses, including COVID-19: Introduction:\nThis brief introduction provides an overview of emerging respiratory viruses, including COVID-19.\nModule A: Introduction to Emerging respiratory viruses, including COVID-19:\nOverall learning objective: To be able to explain why a emerging respiratory viruses, including COVID-19, are a global threat to human health\nModule B: Detecting Emerging respiratory viruses, including COVID-19: Surveillance and Laboratory investigation:\nOverall learning objective: To describe how to detect and assess an emerging respiratory virus outbreak\nModule C: Risk Communication and Community Engagement:\nOverall learning objective: To describe what strategies should be used to communicate risk and engage communities to detect, prevent and respond to COVID-19\nModule D: Preventing and Responding to an emerging respiratory virus, including COVID-19:\nOverall learning objective: To describe strategies for preventing and controlling emerging respiratory pathogens, including coronavirus outbreaks.\nEnroll me for this course\nThe course is free. Just register for an account on OpenWHO and take the course!\nLearners enrolled:401594\nCertificate Requirements\nGain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments.\nMore information"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!M890=\"\",\"\",ZOZNAM!M890),\"\")","v":"Gain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments."},{"$f":"IF($A899<>\"\",IF(ZOZNAM!N890=\"\",\"\",ZOZNAM!N890),\"\")","v":"nie"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!O890=\"\",\"\",ZOZNAM!O890),\"\")","v":"áno"},{"$f":"IF($A899<>\"\",IF(ZOZNAM!P890=\"\",\"\",ZOZNAM!P890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!Q890=\"\",\"\",ZOZNAM!Q890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!R890=\"\",\"\",ZOZNAM!R890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!S890=\"\",\"\",ZOZNAM!S890),\"\")","v":""},{"$f":"IF($A899<>\"\",IF(ZOZNAM!T890=\"\",\"\",ZOZNAM!T890),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C891)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C891)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C891)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C891)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C891)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C891)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L891)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L891)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L891)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L891)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L891)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L891)),FALSE))),ZOZNAM!G891>=$C$9),ZOZNAM!A891,\"\")","v":"UC002"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!B891=\"\",\"\",ZOZNAM!B891),\"\")","v":"UNESCO"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!C891=\"\",\"\",ZOZNAM!C891),\"\")","v":"GPE/IIEP Training on the Fundamentals of Independent Appraisal of Education Sector Plans"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!D891=\"\",\"\",ZOZNAM!D891),\"\")","v":"Online"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!E891=\"\",\"\",ZOZNAM!E891),\"\")","v":1},{"$f":"IF($A900<>\"\",IF(ZOZNAM!F891=\"\",\"\",ZOZNAM!F891),\"\")","v":1},{"$f":"IF($A900<>\"\",IF(ZOZNAM!G891=\"\",\"\",ZOZNAM!G891),\"\")","v":"2020-12-12"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!H891=\"\",\"\",ZOZNAM!H891),\"\")","v":"2020-12-12"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!I891=\"\",\"\",ZOZNAM!I891),\"\")","v":"0 EUR"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!J891=\"\",\"\",ZOZNAM!J891),\"\")","v":""},{"$f":"IF($A900<>\"\",IF(ZOZNAM!K891=\"\",\"\",ZOZNAM!K891),\"\")","v":"http://www.iiep.unesco.org/en/gpeiiep-training-fundamentals-independent-appraisal-education-sector-plans-13281"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!L891=\"\",\"\",ZOZNAM!L891),\"\")","v":"The primary purpose of the training is to allow interested individuals to gain fundamental knowledge of the various issues to be considered when undertaking the appraisal of an education plan. The training is expected to lead to greater consistency and quality in the appraisals of education plans, both ESPs and TEPs.\n\nThe training provides an overview of plan preparation and will introduce the major steps in an appraisal process and to the appraisal guidelines, but it will not address the advanced competencies needed to appraise plans in depth, nor cover in detail the skills required to manage the complex relationships present in appraisal contexts. \n\nThe training is also meant to be a  “global good” that will help to deepen understanding about education plans and their independent appraisal, among  other  stakeholders involved."},{"$f":"IF($A900<>\"\",IF(ZOZNAM!M891=\"\",\"\",ZOZNAM!M891),\"\")","v":"You will receive a certificate of successful course completion, jointly awarded by GPE and IIEP, if you make a good attempt at all of the self-assessment exercises, and if you complete and obtain a minimum average grade of 14/20 (70%) on three course quizzes.\n\n \n\nSuccessful completion of the course does not mean that one is immediately qualified to conduct education plan appraisals. The decision to choose an independent appraiser will depend on a person’s background, years of experience and a selection process by development partners at country level.  For independent experts selected to conduct an appraisal, the successful completion of the training is required prior to undertaking the independent appraisal. This does not apply for independent experts who have already participated in a past GPE-IIEP independent appraisal training."},{"$f":"IF($A900<>\"\",IF(ZOZNAM!N891=\"\",\"\",ZOZNAM!N891),\"\")","v":"nie"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!O891=\"\",\"\",ZOZNAM!O891),\"\")","v":"áno"},{"$f":"IF($A900<>\"\",IF(ZOZNAM!P891=\"\",\"\",ZOZNAM!P891),\"\")","v":""},{"$f":"IF($A900<>\"\",IF(ZOZNAM!Q891=\"\",\"\",ZOZNAM!Q891),\"\")","v":""},{"$f":"IF($A900<>\"\",IF(ZOZNAM!R891=\"\",\"\",ZOZNAM!R891),\"\")","v":""},{"$f":"IF($A900<>\"\",IF(ZOZNAM!S891=\"\",\"\",ZOZNAM!S891),\"\")","v":""},{"$f":"IF($A900<>\"\",IF(ZOZNAM!T891=\"\",\"\",ZOZNAM!T891),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C892)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C892)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C892)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C892)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C892)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C892)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L892)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L892)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L892)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L892)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L892)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L892)),FALSE))),ZOZNAM!G892>=$C$9),ZOZNAM!A892,\"\")","v":"UC003"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!B892=\"\",\"\",ZOZNAM!B892),\"\")","v":"UNESCO"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!C892=\"\",\"\",ZOZNAM!C892),\"\")","v":"Strengthening Alternative and Non-Formal Education for Youth and Adults in Education Sector Plans"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!D892=\"\",\"\",ZOZNAM!D892),\"\")","v":"Online"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!E892=\"\",\"\",ZOZNAM!E892),\"\")","v":51},{"$f":"IF($A901<>\"\",IF(ZOZNAM!F892=\"\",\"\",ZOZNAM!F892),\"\")","v":73},{"$f":"IF($A901<>\"\",IF(ZOZNAM!G892=\"\",\"\",ZOZNAM!G892),\"\")","v":"2020-11-13"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!H892=\"\",\"\",ZOZNAM!H892),\"\")","v":"2021-02-12"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!I892=\"\",\"\",ZOZNAM!I892),\"\")","v":"550 USD"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!J892=\"\",\"\",ZOZNAM!J892),\"\")","v":"2020-09-30"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!K892=\"\",\"\",ZOZNAM!K892),\"\")","v":"http://www.iiep.unesco.org/en/strengthening-alternative-and-non-formal-education-youth-and-adults-education-sector-plans-13480"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!L892=\"\",\"\",ZOZNAM!L892),\"\")","v":"The objective of the course is to equip participants with the technical knowledge and skills to ensure that marginalized youth and adult learning issues are better reflected in national plans and become an integral component of sector-wide education plans within a lifelong learning perspective. In the long term, a stronger focus on ANFE in sector plans will guide the development of holistic lifelong learning systems, ensuring that all young people and adults can learn and continue learning in a changing world.\n\nUpon completion of this course, participants should be able to:\n\nDiscuss key concepts and categories applied in ANFE, including social and private benefits and service provision challenges;\nDescribe the main steps of the ESP preparation process;\nAnalyse the current state of ANFE in the education sector to identify gaps in service provision, demand, and opportunities for development;\nDevelop ANFE strategies based on an education sector analysis;\nDesign implementation programmes with costed activities to promote and improve the ANFE; and Develop an ANFE M&E plan for the ESP."},{"$f":"IF($A901<>\"\",IF(ZOZNAM!M892=\"\",\"\",ZOZNAM!M892),\"\")","v":"To validate participation, participants must attend at least 75 per cent of the group meetings\nand contribute actively to group work. Group coordinators will record attendance. In addition, participants will be\nrequired to participate in online discussions and complete individual quizzes.\nParticipants who meet the above-mentioned requirements will receive a UNESCO certificate of participation from IIEP\nand UIL"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!N892=\"\",\"\",ZOZNAM!N892),\"\")","v":"nie"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!O892=\"\",\"\",ZOZNAM!O892),\"\")","v":"nie"},{"$f":"IF($A901<>\"\",IF(ZOZNAM!P892=\"\",\"\",ZOZNAM!P892),\"\")","v":""},{"$f":"IF($A901<>\"\",IF(ZOZNAM!Q892=\"\",\"\",ZOZNAM!Q892),\"\")","v":""},{"$f":"IF($A901<>\"\",IF(ZOZNAM!R892=\"\",\"\",ZOZNAM!R892),\"\")","v":""},{"$f":"IF($A901<>\"\",IF(ZOZNAM!S892=\"\",\"\",ZOZNAM!S892),\"\")","v":""},{"$f":"IF($A901<>\"\",IF(ZOZNAM!T892=\"\",\"\",ZOZNAM!T892),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C895)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C895)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C895)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C895)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C895)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C895)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L895)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L895)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L895)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L895)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L895)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L895)),FALSE))),ZOZNAM!G895>=$C$9),ZOZNAM!A895,\"\")","v":"TI306"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!B895=\"\",\"\",ZOZNAM!B895),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!C895=\"\",\"\",ZOZNAM!C895),\"\")","v":"Time Series Econometrics (online) "},{"$f":"IF($A904<>\"\",IF(ZOZNAM!D895=\"\",\"\",ZOZNAM!D895),\"\")","v":"Online"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!E895=\"\",\"\",ZOZNAM!E895),\"\")","v":2},{"$f":"IF($A904<>\"\",IF(ZOZNAM!F895=\"\",\"\",ZOZNAM!F895),\"\")","v":2},{"$f":"IF($A904<>\"\",IF(ZOZNAM!G895=\"\",\"\",ZOZNAM!G895),\"\")","v":"2020-10-23"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!H895=\"\",\"\",ZOZNAM!H895),\"\")","v":"2020-10-24"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!I895=\"\",\"\",ZOZNAM!I895),\"\")","v":"360 GBP + VAT"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!J895=\"\",\"\",ZOZNAM!J895),\"\")","v":"pred začiatkom kurzu"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!K895=\"\",\"\",ZOZNAM!K895),\"\")","v":"https://www.timberlake.co.uk/courses/time-series-forecasting-eviews.html"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!L895=\"\",\"\",ZOZNAM!L895),\"\")","v":"This online intensive course provides a comprehensive introduction to time series analysis and forecasting with EViews. The course offers a full overview on time series models and forecasting methods, covering a variety of different models including ARMA, ARDL, Regime Switching models, GARCH models and Midas time series regressions. Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. \n\nTaking a “learning-by-doing” approach, we present the most relevant time series models employing plenty of financial and macroeconomic data examples. The course specifically focuses on forecasting methodologies in macro econometrics and financial econometrics. Participants leave with the know-how on a wide range of time series models and the ability to identify which one to use for a specific modelling and forecasting purpose. \n\nThe course is intentionally flexible. The agenda emerges dynamically and depends on the group’s prior background and knowledge of EViews. By the end of the two-day on line course participants should be able to: \nModel and forecast from a univariate AR(FI)MA model \nModel and forecast from a univariate GARCH (including EGARCH, TARCH, APARCH and GJR models) \nDistinguish between stationary and nonstationary series and understand the implications of using nonstationary series; \nBuild, estimate and forecast from univariate time series models using Eviews an compare the forecasting performances of the models \nUnderstand and critically evaluate recent research in time series \n"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!M895=\"\",\"\",ZOZNAM!M895),\"\")","v":""},{"$f":"IF($A904<>\"\",IF(ZOZNAM!N895=\"\",\"\",ZOZNAM!N895),\"\")","v":"nie"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!O895=\"\",\"\",ZOZNAM!O895),\"\")","v":"nie"},{"$f":"IF($A904<>\"\",IF(ZOZNAM!P895=\"\",\"\",ZOZNAM!P895),\"\")","v":2},{"$f":"IF($A904<>\"\",IF(ZOZNAM!Q895=\"\",\"\",ZOZNAM!Q895),\"\")","v":""},{"$f":"IF($A904<>\"\",IF(ZOZNAM!R895=\"\",\"\",ZOZNAM!R895),\"\")","v":""},{"$f":"IF($A904<>\"\",IF(ZOZNAM!S895=\"\",\"\",ZOZNAM!S895),\"\")","v":""},{"$f":"IF($A904<>\"\",IF(ZOZNAM!T895=\"\",\"\",ZOZNAM!T895),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C896)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C896)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C896)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C896)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C896)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C896)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L896)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L896)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L896)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L896)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L896)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L896)),FALSE))),ZOZNAM!G896>=$C$9),ZOZNAM!A896,\"\")","v":"TI307"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!B896=\"\",\"\",ZOZNAM!B896),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!C896=\"\",\"\",ZOZNAM!C896),\"\")","v":"Machine Learning using Stata: Introduction & Advanced, Co-Developed with Lancaster University "},{"$f":"IF($A905<>\"\",IF(ZOZNAM!D896=\"\",\"\",ZOZNAM!D896),\"\")","v":"Online"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!E896=\"\",\"\",ZOZNAM!E896),\"\")","v":4},{"$f":"IF($A905<>\"\",IF(ZOZNAM!F896=\"\",\"\",ZOZNAM!F896),\"\")","v":4},{"$f":"IF($A905<>\"\",IF(ZOZNAM!G896=\"\",\"\",ZOZNAM!G896),\"\")","v":"2020-10-26"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!H896=\"\",\"\",ZOZNAM!H896),\"\")","v":"2020-11-10"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!I896=\"\",\"\",ZOZNAM!I896),\"\")","v":"480 GBP + VAT"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!J896=\"\",\"\",ZOZNAM!J896),\"\")","v":"Full payment of course fees is required prior to the course start date to guarantee your place."},{"$f":"IF($A905<>\"\",IF(ZOZNAM!K896=\"\",\"\",ZOZNAM!K896),\"\")","v":"https://www.timberlake.co.uk/courses/machine-learning-stata-intro-advanced-2020.html"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!L896=\"\",\"\",ZOZNAM!L896),\"\")","v":"Course Overview: Part one\nRecent years have witnessed an unprecedented availability of information on social, economic, and health-related phenomena. Researchers, practitioners, and policymakers have nowadays access to huge datasets (the so-called “Big Data”) on people, companies and institutions, web and mobile devices, satellites, etc., at increasing speed and detail. \n\nMachine learning is a relatively new approach to data analytics, which places itself in the intersection between statistics, computer science, and artificial intelligence. Its primary objective is that of turning information into knowledge and value by “letting the data speak”. To this purpose, machine learning limits prior assumptions on data structure, and relies on a model-free philosophy supporting algorithm development, computational procedures, and graphical inspection more than tight assumptions, algebraic development, and analytical solutions. Computationally unfeasible few years ago, machine learning is a product of the computer’s era, of today machines’ computing power and ability to learn, of hardware development, and continuous software upgrading.\n\nThis course is a primer to machine learning techniques using Stata. Stata owns today various packages to perform machine learning which are however poorly known to many Stata users. This course fills this gap by making participants familiar with (and knowledgeable of) Stata potential to draw knowledge and value form row, large, and possibly noisy data. The teaching approach will be mainly based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions. \n\nAfter the course, participants are expected to have an improved understanding of Stata potential to perform some of the most used marching learning techniques, thus becoming able to master research tasks including, among others: \n•(i) factor-importance detection \n•(ii) signal-from-noise extraction\n•(iii) correct model specification\n•(iv) model-free classification, both from a data-mining and a causal perspective.\n\nCourse Overview: part 2\n\nThis course will focus on three specific techniques not covered in the first-part course, that is :regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions).\n\nThe teaching approach will be mainly based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions.\n\nAfter the course, participants are expected to have an improved understanding of Stata potential to perform some of the most used machine learning techniques, thus becoming able to master research tasks including, among others: \n• (i) factor-importance detection,\n• (ii) signal-from-noise extraction,\n• (iii) model-free regression and classification, both from a data-mining and a causal perspective.\n\n\nThe course is open to people coming from all scientific fields ,but it is particularly targeted to researchers working in the medical, epidemiological and socio-economic sciences.\n"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!M896=\"\",\"\",ZOZNAM!M896),\"\")","v":""},{"$f":"IF($A905<>\"\",IF(ZOZNAM!N896=\"\",\"\",ZOZNAM!N896),\"\")","v":"nie"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!O896=\"\",\"\",ZOZNAM!O896),\"\")","v":"nie"},{"$f":"IF($A905<>\"\",IF(ZOZNAM!P896=\"\",\"\",ZOZNAM!P896),\"\")","v":2},{"$f":"IF($A905<>\"\",IF(ZOZNAM!Q896=\"\",\"\",ZOZNAM!Q896),\"\")","v":""},{"$f":"IF($A905<>\"\",IF(ZOZNAM!R896=\"\",\"\",ZOZNAM!R896),\"\")","v":""},{"$f":"IF($A905<>\"\",IF(ZOZNAM!S896=\"\",\"\",ZOZNAM!S896),\"\")","v":""},{"$f":"IF($A905<>\"\",IF(ZOZNAM!T896=\"\",\"\",ZOZNAM!T896),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C897)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C897)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C897)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C897)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C897)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C897)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L897)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L897)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L897)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L897)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L897)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L897)),FALSE))),ZOZNAM!G897>=$C$9),ZOZNAM!A897,\"\")","v":"TI308"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!B897=\"\",\"\",ZOZNAM!B897),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!C897=\"\",\"\",ZOZNAM!C897),\"\")","v":"Regression Modelling using Stata"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!D897=\"\",\"\",ZOZNAM!D897),\"\")","v":"Online"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!E897=\"\",\"\",ZOZNAM!E897),\"\")","v":2},{"$f":"IF($A906<>\"\",IF(ZOZNAM!F897=\"\",\"\",ZOZNAM!F897),\"\")","v":2},{"$f":"IF($A906<>\"\",IF(ZOZNAM!G897=\"\",\"\",ZOZNAM!G897),\"\")","v":"2020-10-29"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!H897=\"\",\"\",ZOZNAM!H897),\"\")","v":"2020-10-30"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!I897=\"\",\"\",ZOZNAM!I897),\"\")","v":"450 GBP+VAT"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!J897=\"\",\"\",ZOZNAM!J897),\"\")","v":"Payment of course fees required prior to the course start date."},{"$f":"IF($A906<>\"\",IF(ZOZNAM!K897=\"\",\"\",ZOZNAM!K897),\"\")","v":"https://www.timberlake.co.uk/courses/linear-and-non-linear-regression-models-in-stata.html"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!L897=\"\",\"\",ZOZNAM!L897),\"\")","v":"Agenda\nTwo days of online instruction for four hours per day. \n Two hours each morning, followed by two hours each afternoon.\n Hour-long Q&A session at the end of each day to address queries.\n•Day 1\n•Day 2 \n\nDay 1\n\nSession 1: Linear regression Part 1\n•Getting started with Stata\n•Importing data from other formats and writing coomand\n•Regression models: why they are so important\n•Setting up a linear regression: Interpretation, variable selection, estimation, dummy variables\n\nSession 2: Is the Model good enough? \n•Post –estimation diagnostic tests\n•Serial correlation\n•Heteroskedasticity \n•Non -linarites\n•Structural Breaks\n\nDay 2\n\nSession 1: Non-linear regression models\n•Non linear Least Squares and MLE in Stata\n•Interpretation of results\n•Model diagnostics\n•Which type of non –linear model? \n\nSession 2: The power of non -linarites\n•Short-comings of the linear model\n•Model with regime switches\n•Maximum likelihood estimation\n•Markov chain models\n•Exponential and other curve fittings Models\n"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!M897=\"\",\"\",ZOZNAM!M897),\"\")","v":""},{"$f":"IF($A906<>\"\",IF(ZOZNAM!N897=\"\",\"\",ZOZNAM!N897),\"\")","v":"nie"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!O897=\"\",\"\",ZOZNAM!O897),\"\")","v":"nie"},{"$f":"IF($A906<>\"\",IF(ZOZNAM!P897=\"\",\"\",ZOZNAM!P897),\"\")","v":2},{"$f":"IF($A906<>\"\",IF(ZOZNAM!Q897=\"\",\"\",ZOZNAM!Q897),\"\")","v":""},{"$f":"IF($A906<>\"\",IF(ZOZNAM!R897=\"\",\"\",ZOZNAM!R897),\"\")","v":""},{"$f":"IF($A906<>\"\",IF(ZOZNAM!S897=\"\",\"\",ZOZNAM!S897),\"\")","v":""},{"$f":"IF($A906<>\"\",IF(ZOZNAM!T897=\"\",\"\",ZOZNAM!T897),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C898)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C898)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C898)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C898)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C898)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C898)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L898)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L898)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L898)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L898)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L898)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L898)),FALSE))),ZOZNAM!G898>=$C$9),ZOZNAM!A898,\"\")","v":"TI309"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!B898=\"\",\"\",ZOZNAM!B898),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!C898=\"\",\"\",ZOZNAM!C898),\"\")","v":"Macroeconomic Density Forecasting & Nowcasting "},{"$f":"IF($A907<>\"\",IF(ZOZNAM!D898=\"\",\"\",ZOZNAM!D898),\"\")","v":"Online"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!E898=\"\",\"\",ZOZNAM!E898),\"\")","v":2},{"$f":"IF($A907<>\"\",IF(ZOZNAM!F898=\"\",\"\",ZOZNAM!F898),\"\")","v":2},{"$f":"IF($A907<>\"\",IF(ZOZNAM!G898=\"\",\"\",ZOZNAM!G898),\"\")","v":"2020-11-02"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!H898=\"\",\"\",ZOZNAM!H898),\"\")","v":"2020-11-03"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!I898=\"\",\"\",ZOZNAM!I898),\"\")","v":"450 GBP+VAT"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!J898=\"\",\"\",ZOZNAM!J898),\"\")","v":"Payment of course fees required prior to the course start date."},{"$f":"IF($A907<>\"\",IF(ZOZNAM!K898=\"\",\"\",ZOZNAM!K898),\"\")","v":"https://www.timberlake.co.uk/courses/training-macroeconomic-density-forecasting-nowcasting-online.html"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!L898=\"\",\"\",ZOZNAM!L898),\"\")","v":"Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques. \n\n The focus will be more on the empirical implementation of the techniques then on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential. \n\n This course is aimed at: \n•Economists and statisticians at Central Banks, public institutions, financial institutions, consultancy firms, or firms who deal with forecasting in their daily work;\n•Academics and research economists who use, or are interested in forecasting techniques for their research;\n•Professionals involved in rating activities.\n"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!M898=\"\",\"\",ZOZNAM!M898),\"\")","v":""},{"$f":"IF($A907<>\"\",IF(ZOZNAM!N898=\"\",\"\",ZOZNAM!N898),\"\")","v":"nie"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!O898=\"\",\"\",ZOZNAM!O898),\"\")","v":"nie"},{"$f":"IF($A907<>\"\",IF(ZOZNAM!P898=\"\",\"\",ZOZNAM!P898),\"\")","v":2},{"$f":"IF($A907<>\"\",IF(ZOZNAM!Q898=\"\",\"\",ZOZNAM!Q898),\"\")","v":""},{"$f":"IF($A907<>\"\",IF(ZOZNAM!R898=\"\",\"\",ZOZNAM!R898),\"\")","v":""},{"$f":"IF($A907<>\"\",IF(ZOZNAM!S898=\"\",\"\",ZOZNAM!S898),\"\")","v":""},{"$f":"IF($A907<>\"\",IF(ZOZNAM!T898=\"\",\"\",ZOZNAM!T898),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C899)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C899)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C899)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C899)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C899)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C899)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L899)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L899)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L899)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L899)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L899)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L899)),FALSE))),ZOZNAM!G899>=$C$9),ZOZNAM!A899,\"\")","v":"TI310"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!B899=\"\",\"\",ZOZNAM!B899),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!C899=\"\",\"\",ZOZNAM!C899),\"\")","v":"Panel Data Econometrics - in Collaboration with Lancaster University "},{"$f":"IF($A908<>\"\",IF(ZOZNAM!D899=\"\",\"\",ZOZNAM!D899),\"\")","v":"Online"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!E899=\"\",\"\",ZOZNAM!E899),\"\")","v":2},{"$f":"IF($A908<>\"\",IF(ZOZNAM!F899=\"\",\"\",ZOZNAM!F899),\"\")","v":2},{"$f":"IF($A908<>\"\",IF(ZOZNAM!G899=\"\",\"\",ZOZNAM!G899),\"\")","v":"2020-11-05"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!H899=\"\",\"\",ZOZNAM!H899),\"\")","v":"2020-11-06"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!I899=\"\",\"\",ZOZNAM!I899),\"\")","v":"300 GBP+VAT•Payment of course fees required prior to the course start date."},{"$f":"IF($A908<>\"\",IF(ZOZNAM!J899=\"\",\"\",ZOZNAM!J899),\"\")","v":""},{"$f":"IF($A908<>\"\",IF(ZOZNAM!K899=\"\",\"\",ZOZNAM!K899),\"\")","v":"https://www.timberlake.co.uk/courses/panel-data-econometrics-stata-nov20.html"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!L899=\"\",\"\",ZOZNAM!L899),\"\")","v":"Panel data econometrics has developed rapidly over the last decades.\nLongitudinal data are more and more available to researchers and methods to analyse these data are in high demand from scholars from different fields.\n\nThe course offers a comprehensive overview on panel data methods with Stata, covering static and dynamic linear models.\n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.\n\nBy the end of the two-day on-line course, participants should be able to prepare panel data for the analysis with Stata, choose the relevant model, get the parameter estimates and interpret the results.\n"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!M899=\"\",\"\",ZOZNAM!M899),\"\")","v":""},{"$f":"IF($A908<>\"\",IF(ZOZNAM!N899=\"\",\"\",ZOZNAM!N899),\"\")","v":"nie"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!O899=\"\",\"\",ZOZNAM!O899),\"\")","v":"nie"},{"$f":"IF($A908<>\"\",IF(ZOZNAM!P899=\"\",\"\",ZOZNAM!P899),\"\")","v":2},{"$f":"IF($A908<>\"\",IF(ZOZNAM!Q899=\"\",\"\",ZOZNAM!Q899),\"\")","v":""},{"$f":"IF($A908<>\"\",IF(ZOZNAM!R899=\"\",\"\",ZOZNAM!R899),\"\")","v":""},{"$f":"IF($A908<>\"\",IF(ZOZNAM!S899=\"\",\"\",ZOZNAM!S899),\"\")","v":""},{"$f":"IF($A908<>\"\",IF(ZOZNAM!T899=\"\",\"\",ZOZNAM!T899),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C913)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C913)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C913)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C913)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C913)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C913)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L913)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L913)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L913)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L913)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L913)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L913)),FALSE))),ZOZNAM!G913>=$C$9),ZOZNAM!A913,\"\")","v":"TI313"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!B913=\"\",\"\",ZOZNAM!B913),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!C913=\"\",\"\",ZOZNAM!C913),\"\")","v":"Programming with Eviews"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!D913=\"\",\"\",ZOZNAM!D913),\"\")","v":"Online"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!E913=\"\",\"\",ZOZNAM!E913),\"\")","v":2},{"$f":"IF($A922<>\"\",IF(ZOZNAM!F913=\"\",\"\",ZOZNAM!F913),\"\")","v":2},{"$f":"IF($A922<>\"\",IF(ZOZNAM!G913=\"\",\"\",ZOZNAM!G913),\"\")","v":"2020-12-14"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!H913=\"\",\"\",ZOZNAM!H913),\"\")","v":"2020-12-15"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!I913=\"\",\"\",ZOZNAM!I913),\"\")","v":"450 GBP"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!J913=\"\",\"\",ZOZNAM!J913),\"\")","v":""},{"$f":"IF($A922<>\"\",IF(ZOZNAM!K913=\"\",\"\",ZOZNAM!K913),\"\")","v":"https://www.timberlake.co.uk/courses/programming-with-eviews.html"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!L913=\"\",\"\",ZOZNAM!L913),\"\")","v":"This course is for economists, econometricians and applied researchers who want to go even further in Eviews by coding something that is not implemented in the existing routines such as long memory GARCH models or Value at Risk. In addition, one may wish to make life easier and to ask EViews to perform some repetitive tasks. This is where EViews Programming starts. The goal of this training course is to make life easier, namely to do things with only a small investment instead of learning a completely new language.EViews is a great statistical package. From its drop down menu one can easily run simple OLS regressions, conduct hypothesis testing, obtain misspecification tests, estimate non-linear least squares, estimate simultaneous equation models, test for unit roots and cointegration, estimate long-memory models and time varying conditional variance specifications, run VARs, VECMs and Bayesian VARS, obtain impulse responses from structural VARs and estimate mixed frequency models (MIDAS).This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day."},{"$f":"IF($A922<>\"\",IF(ZOZNAM!M913=\"\",\"\",ZOZNAM!M913),\"\")","v":""},{"$f":"IF($A922<>\"\",IF(ZOZNAM!N913=\"\",\"\",ZOZNAM!N913),\"\")","v":"nie"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!O913=\"\",\"\",ZOZNAM!O913),\"\")","v":"nie"},{"$f":"IF($A922<>\"\",IF(ZOZNAM!P913=\"\",\"\",ZOZNAM!P913),\"\")","v":2},{"$f":"IF($A922<>\"\",IF(ZOZNAM!Q913=\"\",\"\",ZOZNAM!Q913),\"\")","v":""},{"$f":"IF($A922<>\"\",IF(ZOZNAM!R913=\"\",\"\",ZOZNAM!R913),\"\")","v":""},{"$f":"IF($A922<>\"\",IF(ZOZNAM!S913=\"\",\"\",ZOZNAM!S913),\"\")","v":""},{"$f":"IF($A922<>\"\",IF(ZOZNAM!T913=\"\",\"\",ZOZNAM!T913),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C914)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C914)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C914)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C914)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C914)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C914)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L914)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L914)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L914)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L914)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L914)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L914)),FALSE))),ZOZNAM!G914>=$C$9),ZOZNAM!A914,\"\")","v":"TI314"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!B914=\"\",\"\",ZOZNAM!B914),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!C914=\"\",\"\",ZOZNAM!C914),\"\")","v":"Macroeconomic Density Forecasting & Nowcasting"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!D914=\"\",\"\",ZOZNAM!D914),\"\")","v":"Online"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!E914=\"\",\"\",ZOZNAM!E914),\"\")","v":2},{"$f":"IF($A923<>\"\",IF(ZOZNAM!F914=\"\",\"\",ZOZNAM!F914),\"\")","v":2},{"$f":"IF($A923<>\"\",IF(ZOZNAM!G914=\"\",\"\",ZOZNAM!G914),\"\")","v":"2020-12-03"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!H914=\"\",\"\",ZOZNAM!H914),\"\")","v":"2020-12-04"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!I914=\"\",\"\",ZOZNAM!I914),\"\")","v":"450 GBP"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!J914=\"\",\"\",ZOZNAM!J914),\"\")","v":""},{"$f":"IF($A923<>\"\",IF(ZOZNAM!K914=\"\",\"\",ZOZNAM!K914),\"\")","v":"https://www.timberlake.co.uk/courses/training-macroeconomic-density-forecasting-nowcasting-online.html"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!L914=\"\",\"\",ZOZNAM!L914),\"\")","v":"Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques.The focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential."},{"$f":"IF($A923<>\"\",IF(ZOZNAM!M914=\"\",\"\",ZOZNAM!M914),\"\")","v":""},{"$f":"IF($A923<>\"\",IF(ZOZNAM!N914=\"\",\"\",ZOZNAM!N914),\"\")","v":"nie"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!O914=\"\",\"\",ZOZNAM!O914),\"\")","v":"nie"},{"$f":"IF($A923<>\"\",IF(ZOZNAM!P914=\"\",\"\",ZOZNAM!P914),\"\")","v":2},{"$f":"IF($A923<>\"\",IF(ZOZNAM!Q914=\"\",\"\",ZOZNAM!Q914),\"\")","v":""},{"$f":"IF($A923<>\"\",IF(ZOZNAM!R914=\"\",\"\",ZOZNAM!R914),\"\")","v":""},{"$f":"IF($A923<>\"\",IF(ZOZNAM!S914=\"\",\"\",ZOZNAM!S914),\"\")","v":""},{"$f":"IF($A923<>\"\",IF(ZOZNAM!T914=\"\",\"\",ZOZNAM!T914),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C915)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C915)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C915)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C915)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C915)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C915)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L915)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L915)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L915)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L915)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L915)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L915)),FALSE))),ZOZNAM!G915>=$C$9),ZOZNAM!A915,\"\")","v":"CL030"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!B915=\"\",\"\",ZOZNAM!B915),\"\")","v":"University College London (UCL)"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!C915=\"\",\"\",ZOZNAM!C915),\"\")","v":"Dealing with Missing Data in Research Studies: an Introduction"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!D915=\"\",\"\",ZOZNAM!D915),\"\")","v":"Online"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!E915=\"\",\"\",ZOZNAM!E915),\"\")","v":4},{"$f":"IF($A924<>\"\",IF(ZOZNAM!F915=\"\",\"\",ZOZNAM!F915),\"\")","v":4},{"$f":"IF($A924<>\"\",IF(ZOZNAM!G915=\"\",\"\",ZOZNAM!G915),\"\")","v":"2020-12-07"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!H915=\"\",\"\",ZOZNAM!H915),\"\")","v":"2020-12-10"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!I915=\"\",\"\",ZOZNAM!I915),\"\")","v":"225 GBP"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!J915=\"\",\"\",ZOZNAM!J915),\"\")","v":""},{"$f":"IF($A924<>\"\",IF(ZOZNAM!K915=\"\",\"\",ZOZNAM!K915),\"\")","v":"https://www.ucl.ac.uk/short-courses/search-courses/dealing-missing-data-research-studies-introduction"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!L915=\"\",\"\",ZOZNAM!L915),\"\")","v":"This short course looks in depth at the problem of missing data in research studies. You'll learn about different types of missing data, and the reasons for this, along with good and bad methods of dealing with them. This course takes place online, over two or three mornings (9:30am to 1pm). The third day is optional and will focus on practical application using SPSS. \nCourse content\nMissing data are very common in research studies, but ignoring these cases can lead to invalid and misleading conclusions being drawn. This workshop gives you guidance on how to deal with missing values and sets out the best ways of analysing an incomplete dataset. The first two days cover the following topics: Reasons for missing data; Types of missing data; Simple methods for analysing incomplete data;  More sophisticated methods of dealing with missing data (simple and multiple stochastic imputation, weighting methods) On the third (optional) day of the course, you'll put the first day's theory into practice using SPSS and real-world datasets. Particular emphasis is given to multiple imputation."},{"$f":"IF($A924<>\"\",IF(ZOZNAM!M915=\"\",\"\",ZOZNAM!M915),\"\")","v":""},{"$f":"IF($A924<>\"\",IF(ZOZNAM!N915=\"\",\"\",ZOZNAM!N915),\"\")","v":"nie"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!O915=\"\",\"\",ZOZNAM!O915),\"\")","v":"nie"},{"$f":"IF($A924<>\"\",IF(ZOZNAM!P915=\"\",\"\",ZOZNAM!P915),\"\")","v":""},{"$f":"IF($A924<>\"\",IF(ZOZNAM!Q915=\"\",\"\",ZOZNAM!Q915),\"\")","v":""},{"$f":"IF($A924<>\"\",IF(ZOZNAM!R915=\"\",\"\",ZOZNAM!R915),\"\")","v":""},{"$f":"IF($A924<>\"\",IF(ZOZNAM!S915=\"\",\"\",ZOZNAM!S915),\"\")","v":""},{"$f":"IF($A924<>\"\",IF(ZOZNAM!T915=\"\",\"\",ZOZNAM!T915),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C916)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C916)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C916)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C916)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C916)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C916)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L916)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L916)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L916)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L916)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L916)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L916)),FALSE))),ZOZNAM!G916>=$C$9),ZOZNAM!A916,\"\")","v":"IP026"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!B916=\"\",\"\",ZOZNAM!B916),\"\")","v":"ictPRO"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!C916=\"\",\"\",ZOZNAM!C916),\"\")","v":"PRINCE2® Practitioner "},{"$f":"IF($A925<>\"\",IF(ZOZNAM!D916=\"\",\"\",ZOZNAM!D916),\"\")","v":"Online"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!E916=\"\",\"\",ZOZNAM!E916),\"\")","v":2},{"$f":"IF($A925<>\"\",IF(ZOZNAM!F916=\"\",\"\",ZOZNAM!F916),\"\")","v":2},{"$f":"IF($A925<>\"\",IF(ZOZNAM!G916=\"\",\"\",ZOZNAM!G916),\"\")","v":"2020-12-17"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!H916=\"\",\"\",ZOZNAM!H916),\"\")","v":"2020-12-18"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!I916=\"\",\"\",ZOZNAM!I916),\"\")","v":"23 837 KČ"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!J916=\"\",\"\",ZOZNAM!J916),\"\")","v":""},{"$f":"IF($A925<>\"\",IF(ZOZNAM!K916=\"\",\"\",ZOZNAM!K916),\"\")","v":"https://www.skoleni-softskills.cz/kurz/PRINCE2-Practitioner-PRNC2.aspx"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!L916=\"\",\"\",ZOZNAM!L916),\"\")","v":"Kurz PRINCE2 Practitioner navazuje na kurz PRINCE2 Foundation. Představuje certifikační kurz projektového řízení, který je zakončen mezinárodní zkoušku PRINCE2 Practitioner. \nCena vlastního kurzu je 13.400 Kč na osobu. V ceně jsou všechny potřebné školící materiály a další naše služby spojené s péčí o účastníky. Certifikační zkouška AXELOS® PRINCE2 Foundation stojí dalších 6.300 Kč na osobu včetně certifikátu "},{"$f":"IF($A925<>\"\",IF(ZOZNAM!M916=\"\",\"\",ZOZNAM!M916),\"\")","v":""},{"$f":"IF($A925<>\"\",IF(ZOZNAM!N916=\"\",\"\",ZOZNAM!N916),\"\")","v":"nie"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!O916=\"\",\"\",ZOZNAM!O916),\"\")","v":"nie"},{"$f":"IF($A925<>\"\",IF(ZOZNAM!P916=\"\",\"\",ZOZNAM!P916),\"\")","v":""},{"$f":"IF($A925<>\"\",IF(ZOZNAM!Q916=\"\",\"\",ZOZNAM!Q916),\"\")","v":""},{"$f":"IF($A925<>\"\",IF(ZOZNAM!R916=\"\",\"\",ZOZNAM!R916),\"\")","v":""},{"$f":"IF($A925<>\"\",IF(ZOZNAM!S916=\"\",\"\",ZOZNAM!S916),\"\")","v":""},{"$f":"IF($A925<>\"\",IF(ZOZNAM!T916=\"\",\"\",ZOZNAM!T916),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C917)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C917)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C917)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C917)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C917)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C917)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L917)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L917)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L917)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L917)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L917)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L917)),FALSE))),ZOZNAM!G917>=$C$9),ZOZNAM!A917,\"\")","v":"IP027"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!B917=\"\",\"\",ZOZNAM!B917),\"\")","v":"ictPRO"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!C917=\"\",\"\",ZOZNAM!C917),\"\")","v":"ITIL® Foundation "},{"$f":"IF($A926<>\"\",IF(ZOZNAM!D917=\"\",\"\",ZOZNAM!D917),\"\")","v":"Online"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!E917=\"\",\"\",ZOZNAM!E917),\"\")","v":3},{"$f":"IF($A926<>\"\",IF(ZOZNAM!F917=\"\",\"\",ZOZNAM!F917),\"\")","v":3},{"$f":"IF($A926<>\"\",IF(ZOZNAM!G917=\"\",\"\",ZOZNAM!G917),\"\")","v":"2020-12-09"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!H917=\"\",\"\",ZOZNAM!H917),\"\")","v":"2020-12-11"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!I917=\"\",\"\",ZOZNAM!I917),\"\")","v":"20 328 KČ"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!J917=\"\",\"\",ZOZNAM!J917),\"\")","v":""},{"$f":"IF($A926<>\"\",IF(ZOZNAM!K917=\"\",\"\",ZOZNAM!K917),\"\")","v":"https://www.skoleni-softskills.cz/kurz/ITIL-Foundation--ITIL1.aspx"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!L917=\"\",\"\",ZOZNAM!L917),\"\")","v":"Kurz Vás seznámí s nejlepšími praktikami z oblasti poskytování a správy IT služeb. ITIL představuje celosvětově nepopulárnější přístup ke správě celého životního cyklu IT služby z pohledu poskytovatele. "},{"$f":"IF($A926<>\"\",IF(ZOZNAM!M917=\"\",\"\",ZOZNAM!M917),\"\")","v":""},{"$f":"IF($A926<>\"\",IF(ZOZNAM!N917=\"\",\"\",ZOZNAM!N917),\"\")","v":"nie"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!O917=\"\",\"\",ZOZNAM!O917),\"\")","v":"nie"},{"$f":"IF($A926<>\"\",IF(ZOZNAM!P917=\"\",\"\",ZOZNAM!P917),\"\")","v":""},{"$f":"IF($A926<>\"\",IF(ZOZNAM!Q917=\"\",\"\",ZOZNAM!Q917),\"\")","v":""},{"$f":"IF($A926<>\"\",IF(ZOZNAM!R917=\"\",\"\",ZOZNAM!R917),\"\")","v":""},{"$f":"IF($A926<>\"\",IF(ZOZNAM!S917=\"\",\"\",ZOZNAM!S917),\"\")","v":""},{"$f":"IF($A926<>\"\",IF(ZOZNAM!T917=\"\",\"\",ZOZNAM!T917),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C918)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C918)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C918)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C918)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C918)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C918)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L918)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L918)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L918)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L918)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L918)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L918)),FALSE))),ZOZNAM!G918>=$C$9),ZOZNAM!A918,\"\")","v":"IP028"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!B918=\"\",\"\",ZOZNAM!B918),\"\")","v":"ictPRO"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!C918=\"\",\"\",ZOZNAM!C918),\"\")","v":"Datová analýza v Pythonu "},{"$f":"IF($A927<>\"\",IF(ZOZNAM!D918=\"\",\"\",ZOZNAM!D918),\"\")","v":"Online"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!E918=\"\",\"\",ZOZNAM!E918),\"\")","v":2},{"$f":"IF($A927<>\"\",IF(ZOZNAM!F918=\"\",\"\",ZOZNAM!F918),\"\")","v":2},{"$f":"IF($A927<>\"\",IF(ZOZNAM!G918=\"\",\"\",ZOZNAM!G918),\"\")","v":"2020-12-10"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!H918=\"\",\"\",ZOZNAM!H918),\"\")","v":"2020-12-11"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!I918=\"\",\"\",ZOZNAM!I918),\"\")","v":"11 858 KČ"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!J918=\"\",\"\",ZOZNAM!J918),\"\")","v":""},{"$f":"IF($A927<>\"\",IF(ZOZNAM!K918=\"\",\"\",ZOZNAM!K918),\"\")","v":"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!L918=\"\",\"\",ZOZNAM!L918),\"\")","v":"Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech.. "},{"$f":"IF($A927<>\"\",IF(ZOZNAM!M918=\"\",\"\",ZOZNAM!M918),\"\")","v":""},{"$f":"IF($A927<>\"\",IF(ZOZNAM!N918=\"\",\"\",ZOZNAM!N918),\"\")","v":"nie"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!O918=\"\",\"\",ZOZNAM!O918),\"\")","v":"nie"},{"$f":"IF($A927<>\"\",IF(ZOZNAM!P918=\"\",\"\",ZOZNAM!P918),\"\")","v":""},{"$f":"IF($A927<>\"\",IF(ZOZNAM!Q918=\"\",\"\",ZOZNAM!Q918),\"\")","v":""},{"$f":"IF($A927<>\"\",IF(ZOZNAM!R918=\"\",\"\",ZOZNAM!R918),\"\")","v":""},{"$f":"IF($A927<>\"\",IF(ZOZNAM!S918=\"\",\"\",ZOZNAM!S918),\"\")","v":""},{"$f":"IF($A927<>\"\",IF(ZOZNAM!T918=\"\",\"\",ZOZNAM!T918),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C919)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C919)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C919)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C919)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C919)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C919)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L919)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L919)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L919)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L919)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L919)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L919)),FALSE))),ZOZNAM!G919>=$C$9),ZOZNAM!A919,\"\")","v":"IP029"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!B919=\"\",\"\",ZOZNAM!B919),\"\")","v":"ictPRO"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!C919=\"\",\"\",ZOZNAM!C919),\"\")","v":"Python - základy programování"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!D919=\"\",\"\",ZOZNAM!D919),\"\")","v":"Online"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!E919=\"\",\"\",ZOZNAM!E919),\"\")","v":3},{"$f":"IF($A928<>\"\",IF(ZOZNAM!F919=\"\",\"\",ZOZNAM!F919),\"\")","v":3},{"$f":"IF($A928<>\"\",IF(ZOZNAM!G919=\"\",\"\",ZOZNAM!G919),\"\")","v":"2020-12-02"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!H919=\"\",\"\",ZOZNAM!H919),\"\")","v":"2020-12-04"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!I919=\"\",\"\",ZOZNAM!I919),\"\")","v":"13 189 KČ"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!J919=\"\",\"\",ZOZNAM!J919),\"\")","v":""},{"$f":"IF($A928<>\"\",IF(ZOZNAM!K919=\"\",\"\",ZOZNAM!K919),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!L919=\"\",\"\",ZOZNAM!L919),\"\")","v":"Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.Přihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata. "},{"$f":"IF($A928<>\"\",IF(ZOZNAM!M919=\"\",\"\",ZOZNAM!M919),\"\")","v":""},{"$f":"IF($A928<>\"\",IF(ZOZNAM!N919=\"\",\"\",ZOZNAM!N919),\"\")","v":"nie"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!O919=\"\",\"\",ZOZNAM!O919),\"\")","v":"nie"},{"$f":"IF($A928<>\"\",IF(ZOZNAM!P919=\"\",\"\",ZOZNAM!P919),\"\")","v":""},{"$f":"IF($A928<>\"\",IF(ZOZNAM!Q919=\"\",\"\",ZOZNAM!Q919),\"\")","v":""},{"$f":"IF($A928<>\"\",IF(ZOZNAM!R919=\"\",\"\",ZOZNAM!R919),\"\")","v":""},{"$f":"IF($A928<>\"\",IF(ZOZNAM!S919=\"\",\"\",ZOZNAM!S919),\"\")","v":""},{"$f":"IF($A928<>\"\",IF(ZOZNAM!T919=\"\",\"\",ZOZNAM!T919),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C920)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C920)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C920)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C920)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C920)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C920)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L920)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L920)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L920)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L920)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L920)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L920)),FALSE))),ZOZNAM!G920>=$C$9),ZOZNAM!A920,\"\")","v":"GE240"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!B920=\"\",\"\",ZOZNAM!B920),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!C920=\"\",\"\",ZOZNAM!C920),\"\")","v":"Introduction to Stata for Data Management and Analysis"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!D920=\"\",\"\",ZOZNAM!D920),\"\")","v":"Online"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!E920=\"\",\"\",ZOZNAM!E920),\"\")","v":3},{"$f":"IF($A929<>\"\",IF(ZOZNAM!F920=\"\",\"\",ZOZNAM!F920),\"\")","v":3},{"$f":"IF($A929<>\"\",IF(ZOZNAM!G920=\"\",\"\",ZOZNAM!G920),\"\")","v":"2021-07-28"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!H920=\"\",\"\",ZOZNAM!H920),\"\")","v":"2021-07-30"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!I920=\"\",\"\",ZOZNAM!I920),\"\")","v":"240 EUR"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!J920=\"\",\"\",ZOZNAM!J920),\"\")","v":""},{"$f":"IF($A929<>\"\",IF(ZOZNAM!K920=\"\",\"\",ZOZNAM!K920),\"\")","v":"https://www.gesis.org/gesis-training/news-details/article/2nd-virtual-gesis-summer-school-in-survey-methodology-register-now"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!L920=\"\",\"\",ZOZNAM!L920),\"\")","v":"This course will give a thorough introduction to the Software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills. The course will not cover basic statistical methods and their underlying mathematics but how to apply these methods using Stata.\nIn the first part of the course, we will cover the program's interface and introduce its syntax structure and basic rules to write clean and reproducible Stata code. Subsequently, we will provide you with skills in hands-on data management, common data analyses, and the visualization of results. Depending on the participants' prior knowledge, we will be able to give further insight into the automatization of data wrangling and analysis procedures, as well as the export of publication-ready results. Also, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems."},{"$f":"IF($A929<>\"\",IF(ZOZNAM!M920=\"\",\"\",ZOZNAM!M920),\"\")","v":"Prerequisites:\nFamiliarity with quantitative data\nBasic knowledge of uni- and bivariate statistics (e.g. descriptive statistics, basics of regression analysis)\nKnowledge of other syntax-based software is helpful but not required\nParticipants will be provided with access to Stata licenses by GESIS but must install the software prior to the course on their own devices."},{"$f":"IF($A929<>\"\",IF(ZOZNAM!N920=\"\",\"\",ZOZNAM!N920),\"\")","v":"nie"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!O920=\"\",\"\",ZOZNAM!O920),\"\")","v":"nie"},{"$f":"IF($A929<>\"\",IF(ZOZNAM!P920=\"\",\"\",ZOZNAM!P920),\"\")","v":2.5},{"$f":"IF($A929<>\"\",IF(ZOZNAM!Q920=\"\",\"\",ZOZNAM!Q920),\"\")","v":""},{"$f":"IF($A929<>\"\",IF(ZOZNAM!R920=\"\",\"\",ZOZNAM!R920),\"\")","v":""},{"$f":"IF($A929<>\"\",IF(ZOZNAM!S920=\"\",\"\",ZOZNAM!S920),\"\")","v":""},{"$f":"IF($A929<>\"\",IF(ZOZNAM!T920=\"\",\"\",ZOZNAM!T920),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C921)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C921)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C921)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C921)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C921)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C921)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L921)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L921)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L921)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L921)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L921)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L921)),FALSE))),ZOZNAM!G921>=$C$9),ZOZNAM!A921,\"\")","v":"GE241"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!B921=\"\",\"\",ZOZNAM!B921),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!C921=\"\",\"\",ZOZNAM!C921),\"\")","v":"Using Directed Acyclic Graphs for Causal & Statistical Inference"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!D921=\"\",\"\",ZOZNAM!D921),\"\")","v":"Online"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!E921=\"\",\"\",ZOZNAM!E921),\"\")","v":3},{"$f":"IF($A930<>\"\",IF(ZOZNAM!F921=\"\",\"\",ZOZNAM!F921),\"\")","v":3},{"$f":"IF($A930<>\"\",IF(ZOZNAM!G921=\"\",\"\",ZOZNAM!G921),\"\")","v":"2021-07-28"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!H921=\"\",\"\",ZOZNAM!H921),\"\")","v":"2021-07-30"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!I921=\"\",\"\",ZOZNAM!I921),\"\")","v":"240 EUR"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!J921=\"\",\"\",ZOZNAM!J921),\"\")","v":""},{"$f":"IF($A930<>\"\",IF(ZOZNAM!K921=\"\",\"\",ZOZNAM!K921),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xF23B418A38CA4D8D8418E8F85C7E8F09"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!L921=\"\",\"\",ZOZNAM!L921),\"\")","v":"This course uses causal graphs (or “directed acyclic graphs”) as a remarkably simple, yet general and powerful framework to describe and discuss a large set of problems that empirical social scientists need to tackle. Is my question of interest descriptive or causal? How can I communicate my assumptions effectively to others, and can I test them? How can I tell correlation from causation? How do I choose control variables for my regression models? After discussing how DAGs can be used to answer these foundational questions, the course also covers basics of causal mediation, instrumental variables, nonresponse/selection bias (and adjustments for it), and (if time permits) panel data analysis from a “graphical” perspective."},{"$f":"IF($A930<>\"\",IF(ZOZNAM!M921=\"\",\"\",ZOZNAM!M921),\"\")","v":"Participants should be willing to learn and use formal reasoning and must have at least Bachelor-level knowledge of statistics. Basic knowledge of R is helpful."},{"$f":"IF($A930<>\"\",IF(ZOZNAM!N921=\"\",\"\",ZOZNAM!N921),\"\")","v":"nie"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!O921=\"\",\"\",ZOZNAM!O921),\"\")","v":"nie"},{"$f":"IF($A930<>\"\",IF(ZOZNAM!P921=\"\",\"\",ZOZNAM!P921),\"\")","v":2.5},{"$f":"IF($A930<>\"\",IF(ZOZNAM!Q921=\"\",\"\",ZOZNAM!Q921),\"\")","v":""},{"$f":"IF($A930<>\"\",IF(ZOZNAM!R921=\"\",\"\",ZOZNAM!R921),\"\")","v":""},{"$f":"IF($A930<>\"\",IF(ZOZNAM!S921=\"\",\"\",ZOZNAM!S921),\"\")","v":""},{"$f":"IF($A930<>\"\",IF(ZOZNAM!T921=\"\",\"\",ZOZNAM!T921),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C922)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C922)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C922)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C922)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C922)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C922)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L922)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L922)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L922)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L922)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L922)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L922)),FALSE))),ZOZNAM!G922>=$C$9),ZOZNAM!A922,\"\")","v":"GE242"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!B922=\"\",\"\",ZOZNAM!B922),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!C922=\"\",\"\",ZOZNAM!C922),\"\")","v":"Pretesting Survey Questions"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!D922=\"\",\"\",ZOZNAM!D922),\"\")","v":"Online"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!E922=\"\",\"\",ZOZNAM!E922),\"\")","v":3},{"$f":"IF($A931<>\"\",IF(ZOZNAM!F922=\"\",\"\",ZOZNAM!F922),\"\")","v":3},{"$f":"IF($A931<>\"\",IF(ZOZNAM!G922=\"\",\"\",ZOZNAM!G922),\"\")","v":"2021-07-28"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!H922=\"\",\"\",ZOZNAM!H922),\"\")","v":"2021-07-30"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!I922=\"\",\"\",ZOZNAM!I922),\"\")","v":"240 EUR"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!J922=\"\",\"\",ZOZNAM!J922),\"\")","v":""},{"$f":"IF($A931<>\"\",IF(ZOZNAM!K922=\"\",\"\",ZOZNAM!K922),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x313060ECDD0B470393F647B58423FF58"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!L922=\"\",\"\",ZOZNAM!L922),\"\")","v":"The course covers the basic elements of evaluating questionnaires and highlights the general importance of carrying out (cognitive) pretests before fielding a questionnaire. This is achieved through both lectures and group exercises. In the lectures, we introduce three pretesting approaches, namely questionnaire appraisal systems, cognitive interviewing and web probing. The exercises aim at familiarizing participants with these pretesting methods. We focus on the sorts of information gathered by each method and how the information can be used to reduce measurement error. In this context, we will also discuss the pros and cons of the different pretesting methods and mixed-method approaches. Besides a more general introduction of the pretesting approaches, participants will receive practical advice on how to conduct (cognitive) pretesting projects and how to decide which pretesting methods should be selected in a given research situation."},{"$f":"IF($A931<>\"\",IF(ZOZNAM!M922=\"\",\"\",ZOZNAM!M922),\"\")","v":"Prerequisites\nBasic knowledge in questionnaire design; however, some practical experience in conducting surveys will be beneficial.\nThere are no statistical prerequisites"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!N922=\"\",\"\",ZOZNAM!N922),\"\")","v":"nie"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!O922=\"\",\"\",ZOZNAM!O922),\"\")","v":"nie"},{"$f":"IF($A931<>\"\",IF(ZOZNAM!P922=\"\",\"\",ZOZNAM!P922),\"\")","v":2.5},{"$f":"IF($A931<>\"\",IF(ZOZNAM!Q922=\"\",\"\",ZOZNAM!Q922),\"\")","v":""},{"$f":"IF($A931<>\"\",IF(ZOZNAM!R922=\"\",\"\",ZOZNAM!R922),\"\")","v":""},{"$f":"IF($A931<>\"\",IF(ZOZNAM!S922=\"\",\"\",ZOZNAM!S922),\"\")","v":""},{"$f":"IF($A931<>\"\",IF(ZOZNAM!T922=\"\",\"\",ZOZNAM!T922),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C923)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C923)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C923)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C923)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C923)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C923)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L923)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L923)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L923)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L923)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L923)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L923)),FALSE))),ZOZNAM!G923>=$C$9),ZOZNAM!A923,\"\")","v":"GE243"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!B923=\"\",\"\",ZOZNAM!B923),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!C923=\"\",\"\",ZOZNAM!C923),\"\")","v":"Introduction to Survey Design"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!D923=\"\",\"\",ZOZNAM!D923),\"\")","v":"Online"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!E923=\"\",\"\",ZOZNAM!E923),\"\")","v":5},{"$f":"IF($A932<>\"\",IF(ZOZNAM!F923=\"\",\"\",ZOZNAM!F923),\"\")","v":5},{"$f":"IF($A932<>\"\",IF(ZOZNAM!G923=\"\",\"\",ZOZNAM!G923),\"\")","v":"2021-08-02"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!H923=\"\",\"\",ZOZNAM!H923),\"\")","v":"2021-08-06"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!I923=\"\",\"\",ZOZNAM!I923),\"\")","v":"600 EUR"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!J923=\"\",\"\",ZOZNAM!J923),\"\")","v":""},{"$f":"IF($A932<>\"\",IF(ZOZNAM!K923=\"\",\"\",ZOZNAM!K923),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x83A7AF79CC034604AFE247B6AB68DA40"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!L923=\"\",\"\",ZOZNAM!L923),\"\")","v":"This course gives an introductory overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing data quality at each step of the process against associated costs."},{"$f":"IF($A932<>\"\",IF(ZOZNAM!M923=\"\",\"\",ZOZNAM!M923),\"\")","v":"Prerequisites\nNo previous experience in survey research is needed; however, some basic practical experience in conducting surveys and analyzing data will be beneficial.\nA basic understanding of statistics is assumed, at the level of basic inferential statistics (t-tests).\nAll students need to send a brief summary of their experience with surveys (about 0.5 page) and the questions they have about how to design surveys before the start of the course to the instructors\nParticipants should be prepared to share information about the survey they are planning on conducting, they are currently involved with or would like to conduct in the future."},{"$f":"IF($A932<>\"\",IF(ZOZNAM!N923=\"\",\"\",ZOZNAM!N923),\"\")","v":"nie"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!O923=\"\",\"\",ZOZNAM!O923),\"\")","v":"nie"},{"$f":"IF($A932<>\"\",IF(ZOZNAM!P923=\"\",\"\",ZOZNAM!P923),\"\")","v":2.5},{"$f":"IF($A932<>\"\",IF(ZOZNAM!Q923=\"\",\"\",ZOZNAM!Q923),\"\")","v":""},{"$f":"IF($A932<>\"\",IF(ZOZNAM!R923=\"\",\"\",ZOZNAM!R923),\"\")","v":""},{"$f":"IF($A932<>\"\",IF(ZOZNAM!S923=\"\",\"\",ZOZNAM!S923),\"\")","v":""},{"$f":"IF($A932<>\"\",IF(ZOZNAM!T923=\"\",\"\",ZOZNAM!T923),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C924)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C924)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C924)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C924)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C924)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C924)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L924)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L924)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L924)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L924)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L924)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L924)),FALSE))),ZOZNAM!G924>=$C$9),ZOZNAM!A924,\"\")","v":"GE244"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!B924=\"\",\"\",ZOZNAM!B924),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!C924=\"\",\"\",ZOZNAM!C924),\"\")","v":"Questionnaire Design"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!D924=\"\",\"\",ZOZNAM!D924),\"\")","v":"Online"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!E924=\"\",\"\",ZOZNAM!E924),\"\")","v":5},{"$f":"IF($A933<>\"\",IF(ZOZNAM!F924=\"\",\"\",ZOZNAM!F924),\"\")","v":5},{"$f":"IF($A933<>\"\",IF(ZOZNAM!G924=\"\",\"\",ZOZNAM!G924),\"\")","v":"2021-08-02"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!H924=\"\",\"\",ZOZNAM!H924),\"\")","v":"2021-08-06"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!I924=\"\",\"\",ZOZNAM!I924),\"\")","v":"600 EUR"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!J924=\"\",\"\",ZOZNAM!J924),\"\")","v":""},{"$f":"IF($A933<>\"\",IF(ZOZNAM!K924=\"\",\"\",ZOZNAM!K924),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xD3CA22BB7D3E4A05B1CFF2B99BC8DF87"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!L924=\"\",\"\",ZOZNAM!L924),\"\")","v":"Briefly speaking, the quality of survey answers provided by respondents can only be as good as the questions being asked. Thus, an effective questionnaire is a key component of a survey contributing to overall data quality. In addition to an overview of theoretical principles underlying questionnaire design this course particularly aims at providing evidence-based practical advice on how to design good survey questions and questionnaires. Based on field-experimental studies evaluating various aspects of questionnaire design participants will acquire state of the art knowledge concerning questionnaire design. The course offers the opportunity to apply these competencies under the supervision of the lecturer in exercises and assignments. The course will strengthen the, participants' ability to design effective survey questions and to integrate them into a meaningful questionnaire."},{"$f":"IF($A933<>\"\",IF(ZOZNAM!M924=\"\",\"\",ZOZNAM!M924),\"\")","v":"Basic knowledge in quantitative social science research methods is required; basic knowledge concerning survey design and data quality is advisable. Participants not familiar with the total survey error framework are encouraged to consider the preparatory reading mentioned at the end of this syllabus. There are no statistical prerequisites.\nCourse participants will need a laptop computer for performing the practical exercises in this course. The laptop should have the following software installed: Office package"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!N924=\"\",\"\",ZOZNAM!N924),\"\")","v":"nie"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!O924=\"\",\"\",ZOZNAM!O924),\"\")","v":"nie"},{"$f":"IF($A933<>\"\",IF(ZOZNAM!P924=\"\",\"\",ZOZNAM!P924),\"\")","v":2.5},{"$f":"IF($A933<>\"\",IF(ZOZNAM!Q924=\"\",\"\",ZOZNAM!Q924),\"\")","v":""},{"$f":"IF($A933<>\"\",IF(ZOZNAM!R924=\"\",\"\",ZOZNAM!R924),\"\")","v":""},{"$f":"IF($A933<>\"\",IF(ZOZNAM!S924=\"\",\"\",ZOZNAM!S924),\"\")","v":""},{"$f":"IF($A933<>\"\",IF(ZOZNAM!T924=\"\",\"\",ZOZNAM!T924),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C925)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C925)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C925)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C925)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C925)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C925)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L925)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L925)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L925)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L925)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L925)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L925)),FALSE))),ZOZNAM!G925>=$C$9),ZOZNAM!A925,\"\")","v":"GE300"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!B925=\"\",\"\",ZOZNAM!B925),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!C925=\"\",\"\",ZOZNAM!C925),\"\")","v":"Introduction to R for Data Analysis"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!D925=\"\",\"\",ZOZNAM!D925),\"\")","v":"Online"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!E925=\"\",\"\",ZOZNAM!E925),\"\")","v":5},{"$f":"IF($A934<>\"\",IF(ZOZNAM!F925=\"\",\"\",ZOZNAM!F925),\"\")","v":5},{"$f":"IF($A934<>\"\",IF(ZOZNAM!G925=\"\",\"\",ZOZNAM!G925),\"\")","v":"2021-08-02"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!H925=\"\",\"\",ZOZNAM!H925),\"\")","v":"2021-08-06"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!I925=\"\",\"\",ZOZNAM!I925),\"\")","v":"480 EUR"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!J925=\"\",\"\",ZOZNAM!J925),\"\")","v":""},{"$f":"IF($A934<>\"\",IF(ZOZNAM!K925=\"\",\"\",ZOZNAM!K925),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x02FBC86744084F37B3C4A2D2C584237E"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!L925=\"\",\"\",ZOZNAM!L925),\"\")","v":"The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. In addition to providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting."},{"$f":"IF($A934<>\"\",IF(ZOZNAM!M925=\"\",\"\",ZOZNAM!M925),\"\")","v":"Prerequisites\nprior experience with quantitative data analysis, basic statistics, and regression\nexperience with using other statistical packages (e.g., SPSS or Stata) is helpful, but not a requirement."},{"$f":"IF($A934<>\"\",IF(ZOZNAM!N925=\"\",\"\",ZOZNAM!N925),\"\")","v":"nie"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!O925=\"\",\"\",ZOZNAM!O925),\"\")","v":"nie"},{"$f":"IF($A934<>\"\",IF(ZOZNAM!P925=\"\",\"\",ZOZNAM!P925),\"\")","v":2.5},{"$f":"IF($A934<>\"\",IF(ZOZNAM!Q925=\"\",\"\",ZOZNAM!Q925),\"\")","v":""},{"$f":"IF($A934<>\"\",IF(ZOZNAM!R925=\"\",\"\",ZOZNAM!R925),\"\")","v":""},{"$f":"IF($A934<>\"\",IF(ZOZNAM!S925=\"\",\"\",ZOZNAM!S925),\"\")","v":""},{"$f":"IF($A934<>\"\",IF(ZOZNAM!T925=\"\",\"\",ZOZNAM!T925),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C926)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C926)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C926)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C926)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C926)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C926)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L926)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L926)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L926)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L926)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L926)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L926)),FALSE))),ZOZNAM!G926>=$C$9),ZOZNAM!A926,\"\")","v":"GE245"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!B926=\"\",\"\",ZOZNAM!B926),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!C926=\"\",\"\",ZOZNAM!C926),\"\")","v":"Survey Sampling and Weighting"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!D926=\"\",\"\",ZOZNAM!D926),\"\")","v":"Online"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!E926=\"\",\"\",ZOZNAM!E926),\"\")","v":5},{"$f":"IF($A935<>\"\",IF(ZOZNAM!F926=\"\",\"\",ZOZNAM!F926),\"\")","v":5},{"$f":"IF($A935<>\"\",IF(ZOZNAM!G926=\"\",\"\",ZOZNAM!G926),\"\")","v":"2021-08-02"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!H926=\"\",\"\",ZOZNAM!H926),\"\")","v":"2021-08-06"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!I926=\"\",\"\",ZOZNAM!I926),\"\")","v":"600 EUR"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!J926=\"\",\"\",ZOZNAM!J926),\"\")","v":""},{"$f":"IF($A935<>\"\",IF(ZOZNAM!K926=\"\",\"\",ZOZNAM!K926),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xF342A0463CA94E5D81CCB5A6BD2D1D17"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!L926=\"\",\"\",ZOZNAM!L926),\"\")","v":"This practical course will cover the process of probability sampling, weighting and estimation. This includes a) methods of sample selection, b) methods of weighting including design weighting, nonresponse weighting and poststratification techniques, and c) methods of parameter estimation for complex sample survey data. Please note that the course will only provide a short excursus to non-probability sampling. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. Prior knowledge in how to use Stata is needed."},{"$f":"IF($A935<>\"\",IF(ZOZNAM!M926=\"\",\"\",ZOZNAM!M926),\"\")","v":"Prerequisites\nIntroductory course in statistics. No prior knowledge of sampling theory is assumed.\nPrior knowledge in Stata is required for this course.\nBasic understanding in survey methodology and how to handle survey data."},{"$f":"IF($A935<>\"\",IF(ZOZNAM!N926=\"\",\"\",ZOZNAM!N926),\"\")","v":"nie"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!O926=\"\",\"\",ZOZNAM!O926),\"\")","v":"nie"},{"$f":"IF($A935<>\"\",IF(ZOZNAM!P926=\"\",\"\",ZOZNAM!P926),\"\")","v":2.5},{"$f":"IF($A935<>\"\",IF(ZOZNAM!Q926=\"\",\"\",ZOZNAM!Q926),\"\")","v":""},{"$f":"IF($A935<>\"\",IF(ZOZNAM!R926=\"\",\"\",ZOZNAM!R926),\"\")","v":""},{"$f":"IF($A935<>\"\",IF(ZOZNAM!S926=\"\",\"\",ZOZNAM!S926),\"\")","v":""},{"$f":"IF($A935<>\"\",IF(ZOZNAM!T926=\"\",\"\",ZOZNAM!T926),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C927)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C927)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C927)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C927)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C927)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C927)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L927)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L927)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L927)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L927)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L927)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L927)),FALSE))),ZOZNAM!G927>=$C$9),ZOZNAM!A927,\"\")","v":"GE246"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!B927=\"\",\"\",ZOZNAM!B927),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!C927=\"\",\"\",ZOZNAM!C927),\"\")","v":"Statistical Analysis of Incomplete Data"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!D927=\"\",\"\",ZOZNAM!D927),\"\")","v":"Online"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!E927=\"\",\"\",ZOZNAM!E927),\"\")","v":5},{"$f":"IF($A936<>\"\",IF(ZOZNAM!F927=\"\",\"\",ZOZNAM!F927),\"\")","v":5},{"$f":"IF($A936<>\"\",IF(ZOZNAM!G927=\"\",\"\",ZOZNAM!G927),\"\")","v":"2021-08-09"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!H927=\"\",\"\",ZOZNAM!H927),\"\")","v":"2021-08-13"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!I927=\"\",\"\",ZOZNAM!I927),\"\")","v":"600 EUR"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!J927=\"\",\"\",ZOZNAM!J927),\"\")","v":""},{"$f":"IF($A936<>\"\",IF(ZOZNAM!K927=\"\",\"\",ZOZNAM!K927),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xF4028A2979F44300BDD1B3007F2F67AB"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!L927=\"\",\"\",ZOZNAM!L927),\"\")","v":"This course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R, SAS, Stata, SPSS, …), the method has become more accessible to data analysts. For didactic purposes, we start by introducing some naive ways of handling missing data, and we use the examination of their weaknesses to create an understanding of the framework of Multiple Imputation. The first day of this course is of a somewhat theoretical nature, but we believe that a fundamental understanding of the MI principle helps to adapt to a wider range of practical problems than focusing on a few select situations. We will subsequently shift to the more practical aspects of statistical analysis with missing data, and we will address frequent problems like regression with missing data. Further examples will be covered throughout the course, which are predominantly based on the statistical language R. We recommend basic R skills for this course, but it is possible to understand the course contents without prior knowledge in R, as the main MI algorithms are almost identical across all major software packages."},{"$f":"IF($A936<>\"\",IF(ZOZNAM!M927=\"\",\"\",ZOZNAM!M927),\"\")","v":"Prerequisites\ngeneral knowledge of data preparation and data analysis\nan advanced understanding of the (generalized) linear model;\nfamiliarity with statistical distributions;\nbasic knowledge of matrix algebra helpful;\nsolid skills in either R, SPSS, or Stata (recommended for exercises)."},{"$f":"IF($A936<>\"\",IF(ZOZNAM!N927=\"\",\"\",ZOZNAM!N927),\"\")","v":"nie"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!O927=\"\",\"\",ZOZNAM!O927),\"\")","v":"nie"},{"$f":"IF($A936<>\"\",IF(ZOZNAM!P927=\"\",\"\",ZOZNAM!P927),\"\")","v":2.5},{"$f":"IF($A936<>\"\",IF(ZOZNAM!Q927=\"\",\"\",ZOZNAM!Q927),\"\")","v":""},{"$f":"IF($A936<>\"\",IF(ZOZNAM!R927=\"\",\"\",ZOZNAM!R927),\"\")","v":""},{"$f":"IF($A936<>\"\",IF(ZOZNAM!S927=\"\",\"\",ZOZNAM!S927),\"\")","v":""},{"$f":"IF($A936<>\"\",IF(ZOZNAM!T927=\"\",\"\",ZOZNAM!T927),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C928)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C928)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C928)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C928)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C928)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C928)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L928)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L928)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L928)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L928)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L928)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L928)),FALSE))),ZOZNAM!G928>=$C$9),ZOZNAM!A928,\"\")","v":"GE247"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!B928=\"\",\"\",ZOZNAM!B928),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!C928=\"\",\"\",ZOZNAM!C928),\"\")","v":"Design and Implementation of Web Surveys"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!D928=\"\",\"\",ZOZNAM!D928),\"\")","v":"Online"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!E928=\"\",\"\",ZOZNAM!E928),\"\")","v":5},{"$f":"IF($A937<>\"\",IF(ZOZNAM!F928=\"\",\"\",ZOZNAM!F928),\"\")","v":5},{"$f":"IF($A937<>\"\",IF(ZOZNAM!G928=\"\",\"\",ZOZNAM!G928),\"\")","v":"2021-08-09"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!H928=\"\",\"\",ZOZNAM!H928),\"\")","v":"2021-08-13"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!I928=\"\",\"\",ZOZNAM!I928),\"\")","v":"600 EUR"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!J928=\"\",\"\",ZOZNAM!J928),\"\")","v":""},{"$f":"IF($A937<>\"\",IF(ZOZNAM!K928=\"\",\"\",ZOZNAM!K928),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x2898B66551074E119357F24B35158757"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!L928=\"\",\"\",ZOZNAM!L928),\"\")","v":"This course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users' (respondents') experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.\n"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!M928=\"\",\"\",ZOZNAM!M928),\"\")","v":"Prerequisites\nSome familiarity with survey research.\nPlans to use a web survey in a project is helpful but certainly not essential."},{"$f":"IF($A937<>\"\",IF(ZOZNAM!N928=\"\",\"\",ZOZNAM!N928),\"\")","v":"nie"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!O928=\"\",\"\",ZOZNAM!O928),\"\")","v":"nie"},{"$f":"IF($A937<>\"\",IF(ZOZNAM!P928=\"\",\"\",ZOZNAM!P928),\"\")","v":2.5},{"$f":"IF($A937<>\"\",IF(ZOZNAM!Q928=\"\",\"\",ZOZNAM!Q928),\"\")","v":""},{"$f":"IF($A937<>\"\",IF(ZOZNAM!R928=\"\",\"\",ZOZNAM!R928),\"\")","v":""},{"$f":"IF($A937<>\"\",IF(ZOZNAM!S928=\"\",\"\",ZOZNAM!S928),\"\")","v":""},{"$f":"IF($A937<>\"\",IF(ZOZNAM!T928=\"\",\"\",ZOZNAM!T928),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C929)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C929)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C929)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C929)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C929)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C929)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L929)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L929)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L929)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L929)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L929)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L929)),FALSE))),ZOZNAM!G929>=$C$9),ZOZNAM!A929,\"\")","v":"GE248"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!B929=\"\",\"\",ZOZNAM!B929),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!C929=\"\",\"\",ZOZNAM!C929),\"\")","v":"(Non-)Probability Samples in the Social Sciences\n"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!D929=\"\",\"\",ZOZNAM!D929),\"\")","v":"Online"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!E929=\"\",\"\",ZOZNAM!E929),\"\")","v":5},{"$f":"IF($A938<>\"\",IF(ZOZNAM!F929=\"\",\"\",ZOZNAM!F929),\"\")","v":5},{"$f":"IF($A938<>\"\",IF(ZOZNAM!G929=\"\",\"\",ZOZNAM!G929),\"\")","v":"2021-08-09"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!H929=\"\",\"\",ZOZNAM!H929),\"\")","v":"2021-08-13"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!I929=\"\",\"\",ZOZNAM!I929),\"\")","v":"600 EUR"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!J929=\"\",\"\",ZOZNAM!J929),\"\")","v":""},{"$f":"IF($A938<>\"\",IF(ZOZNAM!K929=\"\",\"\",ZOZNAM!K929),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x64AB5A0D2A344AC6AECE71C3AF4D1614"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!L929=\"\",\"\",ZOZNAM!L929),\"\")","v":"The main objective of the course is to provide students with a full overview of the history, theoretical foundations, critical arguments, and accumulated empirical evidence surrounding the debate about probability and nonprobability sample surveys. A focus will be on real-world examples of why and how the choice of sample type matters, including topics such as gender data gap, election polling debacles, and the role that surveys can have in supporting versus debunking fake news. In addition to discussing these topics, the course will provide students with an in-depth understanding of the conditions under which probability and nonprobability samples can provide useful data to answer social scientific research questions (so-called \"fit-for-purpose\" designs), including hands-on recommendations and excercises on how to design your own (hypothetical) research study."},{"$f":"IF($A938<>\"\",IF(ZOZNAM!M929=\"\",\"\",ZOZNAM!M929),\"\")","v":"Prerequisites\nBasic knowledge of introductory statistics (e.g., descriptive statistics, basic regression analysis)\nBasic conceptual understanding of survey data collection (e.g., survey lifecycle, Total Survey Error framework)\nBasic understanding of sampling theory and/or survey weighting procedures is desirable, but not strictly necessary."},{"$f":"IF($A938<>\"\",IF(ZOZNAM!N929=\"\",\"\",ZOZNAM!N929),\"\")","v":"nie"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!O929=\"\",\"\",ZOZNAM!O929),\"\")","v":"nie"},{"$f":"IF($A938<>\"\",IF(ZOZNAM!P929=\"\",\"\",ZOZNAM!P929),\"\")","v":2.5},{"$f":"IF($A938<>\"\",IF(ZOZNAM!Q929=\"\",\"\",ZOZNAM!Q929),\"\")","v":""},{"$f":"IF($A938<>\"\",IF(ZOZNAM!R929=\"\",\"\",ZOZNAM!R929),\"\")","v":""},{"$f":"IF($A938<>\"\",IF(ZOZNAM!S929=\"\",\"\",ZOZNAM!S929),\"\")","v":""},{"$f":"IF($A938<>\"\",IF(ZOZNAM!T929=\"\",\"\",ZOZNAM!T929),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C930)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C930)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C930)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C930)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C930)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C930)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L930)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L930)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L930)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L930)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L930)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L930)),FALSE))),ZOZNAM!G930>=$C$9),ZOZNAM!A930,\"\")","v":"GE249"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!B930=\"\",\"\",ZOZNAM!B930),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!C930=\"\",\"\",ZOZNAM!C930),\"\")","v":"Designing, Implementing, and Analyzing Longitudinal Surveys"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!D930=\"\",\"\",ZOZNAM!D930),\"\")","v":"Online"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!E930=\"\",\"\",ZOZNAM!E930),\"\")","v":5},{"$f":"IF($A939<>\"\",IF(ZOZNAM!F930=\"\",\"\",ZOZNAM!F930),\"\")","v":5},{"$f":"IF($A939<>\"\",IF(ZOZNAM!G930=\"\",\"\",ZOZNAM!G930),\"\")","v":"2021-08-09"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!H930=\"\",\"\",ZOZNAM!H930),\"\")","v":"2021-08-13"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!I930=\"\",\"\",ZOZNAM!I930),\"\")","v":"600 EUR"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!J930=\"\",\"\",ZOZNAM!J930),\"\")","v":""},{"$f":"IF($A939<>\"\",IF(ZOZNAM!K930=\"\",\"\",ZOZNAM!K930),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xD6225DA2B41F4ED28D97008A69A5BDAF"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!L930=\"\",\"\",ZOZNAM!L930),\"\")","v":"The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\nA review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put.\nKey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes.\nImportant aspects of designing a questionnaire and measurement for a longitudinal studies, particularly for capturing micro-level change\nThe impact of non-response and attrition in a panel, and adjustments such as weighting and imputation given that missing data patterns differ between waves.\nAn introduction to important analysis considerations and methods when using a longitudinal survey design.\nIn addition, each morning time will be available in a computer lab for exercises for practical application of these methods and an opportunity for more interaction with the instructors."},{"$f":"IF($A939<>\"\",IF(ZOZNAM!M930=\"\",\"\",ZOZNAM!M930),\"\")","v":"Prerequisites\nparticipants should have basic knowledge of survey methodology from a cross-sectional perspective, in particular with respect to survey design, instrument development, and survey implementation\nbasic knowledge of statistics and statistical modelling (i.e., regression) and of a statistical software (Stata or R).  "},{"$f":"IF($A939<>\"\",IF(ZOZNAM!N930=\"\",\"\",ZOZNAM!N930),\"\")","v":"nie"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!O930=\"\",\"\",ZOZNAM!O930),\"\")","v":"nie"},{"$f":"IF($A939<>\"\",IF(ZOZNAM!P930=\"\",\"\",ZOZNAM!P930),\"\")","v":2.5},{"$f":"IF($A939<>\"\",IF(ZOZNAM!Q930=\"\",\"\",ZOZNAM!Q930),\"\")","v":""},{"$f":"IF($A939<>\"\",IF(ZOZNAM!R930=\"\",\"\",ZOZNAM!R930),\"\")","v":""},{"$f":"IF($A939<>\"\",IF(ZOZNAM!S930=\"\",\"\",ZOZNAM!S930),\"\")","v":""},{"$f":"IF($A939<>\"\",IF(ZOZNAM!T930=\"\",\"\",ZOZNAM!T930),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C931)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C931)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C931)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C931)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C931)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C931)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L931)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L931)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L931)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L931)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L931)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L931)),FALSE))),ZOZNAM!G931>=$C$9),ZOZNAM!A931,\"\")","v":"GE250"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!B931=\"\",\"\",ZOZNAM!B931),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!C931=\"\",\"\",ZOZNAM!C931),\"\")","v":"A (Short) Course on (Short) Scale Development"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!D931=\"\",\"\",ZOZNAM!D931),\"\")","v":"Online"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!E931=\"\",\"\",ZOZNAM!E931),\"\")","v":3},{"$f":"IF($A940<>\"\",IF(ZOZNAM!F931=\"\",\"\",ZOZNAM!F931),\"\")","v":3},{"$f":"IF($A940<>\"\",IF(ZOZNAM!G931=\"\",\"\",ZOZNAM!G931),\"\")","v":"2021-08-18"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!H931=\"\",\"\",ZOZNAM!H931),\"\")","v":"2021-08-20"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!I931=\"\",\"\",ZOZNAM!I931),\"\")","v":"240 EUR"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!J931=\"\",\"\",ZOZNAM!J931),\"\")","v":""},{"$f":"IF($A940<>\"\",IF(ZOZNAM!K931=\"\",\"\",ZOZNAM!K931),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xAF5723BFABDD44BD8EA8EF5406AFBA56"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!L931=\"\",\"\",ZOZNAM!L931),\"\")","v":"The course deals primarily with the practical aspects of scale development and questionnaire design. However, it also covers relevant methodological and theoretical basics (e.g., the “psychometric” quality criteria of validity, reliability, objectivity, and others).\n \nWe will go through all phases of the development process and address the key objectives, best practices and challenges during each phase:\n(1) definition of the phenomenon or concept to be measured\n(2) generation of an initial item pool\n(2) selection of appropriate items\n(3) pretesting and validation of the instrument\n(4) documentation and dissemination of the instrument\n \nThe course will equip you with the basic skills that you need to develop adequate measures for your research. It can also be valuable to researchers who do not develop their own measures but are interested in evaluating or adapting existing ones."},{"$f":"IF($A940<>\"\",IF(ZOZNAM!M931=\"\",\"\",ZOZNAM!M931),\"\")","v":"Prerequisites\nBasic knowledge of survey research\nBasic knowledge of quantitative methods (correlation, regression, factor analysis, cluster analysis)\nRequired software: You should have access and should be familiar with at least one of the following software packages:  R, SPSS, or Stata\nIdeally, a concrete research concern for which a scale needs to be developed"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!N931=\"\",\"\",ZOZNAM!N931),\"\")","v":"nie"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!O931=\"\",\"\",ZOZNAM!O931),\"\")","v":"nie"},{"$f":"IF($A940<>\"\",IF(ZOZNAM!P931=\"\",\"\",ZOZNAM!P931),\"\")","v":2.5},{"$f":"IF($A940<>\"\",IF(ZOZNAM!Q931=\"\",\"\",ZOZNAM!Q931),\"\")","v":""},{"$f":"IF($A940<>\"\",IF(ZOZNAM!R931=\"\",\"\",ZOZNAM!R931),\"\")","v":""},{"$f":"IF($A940<>\"\",IF(ZOZNAM!S931=\"\",\"\",ZOZNAM!S931),\"\")","v":""},{"$f":"IF($A940<>\"\",IF(ZOZNAM!T931=\"\",\"\",ZOZNAM!T931),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C932)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C932)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C932)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C932)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C932)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C932)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L932)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L932)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L932)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L932)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L932)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L932)),FALSE))),ZOZNAM!G932>=$C$9),ZOZNAM!A932,\"\")","v":"GE251"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!B932=\"\",\"\",ZOZNAM!B932),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!C932=\"\",\"\",ZOZNAM!C932),\"\")","v":"Mixed-Methods and Multimethod Research"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!D932=\"\",\"\",ZOZNAM!D932),\"\")","v":"Online"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!E932=\"\",\"\",ZOZNAM!E932),\"\")","v":5},{"$f":"IF($A941<>\"\",IF(ZOZNAM!F932=\"\",\"\",ZOZNAM!F932),\"\")","v":5},{"$f":"IF($A941<>\"\",IF(ZOZNAM!G932=\"\",\"\",ZOZNAM!G932),\"\")","v":"2021-08-16"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!H932=\"\",\"\",ZOZNAM!H932),\"\")","v":"2021-08-20"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!I932=\"\",\"\",ZOZNAM!I932),\"\")","v":"600 EUR"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!J932=\"\",\"\",ZOZNAM!J932),\"\")","v":""},{"$f":"IF($A941<>\"\",IF(ZOZNAM!K932=\"\",\"\",ZOZNAM!K932),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x8991CB1552D44D93A0D7AD8086B3B1CB"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!L932=\"\",\"\",ZOZNAM!L932),\"\")","v":"This course deals with mixed-methods and multimethod research (MMR) in the social sciences. We will discuss the broader understanding of combining qualitative and quantitative methods (mixed methods) and the narrower approach of nested analysis. The course aims to reflect the diversity of MMR studies in the discipline to accommodate participants' projects. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.\nThe goal of the course is to understand the different varieties in which MMR can be done. We discuss the unique advantages and methodological and practical challenges confronted in mixed-method research.\nTopics include the variety of mixed-method designs that are available; the use of concepts in the qualitative and quantitative analysis, case selection for qualitative research, the compatibility of theoretical expectations in the qualitative and quantitative analysis. The discussions are illustrated with examples from different fields of political science. By the end of the course, participants will able to realize their own mixed-methods study in a systematic manner, and to critically evaluate published MMR studies."},{"$f":"IF($A941<>\"\",IF(ZOZNAM!M932=\"\",\"\",ZOZNAM!M932),\"\")","v":"Prerequisites\nBasic knowledge of the two (or more) methods that participants want to apply in their projects.\nFamiliarity with meaning and standards of causal inference and causal explanation."},{"$f":"IF($A941<>\"\",IF(ZOZNAM!N932=\"\",\"\",ZOZNAM!N932),\"\")","v":"nie"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!O932=\"\",\"\",ZOZNAM!O932),\"\")","v":"nie"},{"$f":"IF($A941<>\"\",IF(ZOZNAM!P932=\"\",\"\",ZOZNAM!P932),\"\")","v":2.5},{"$f":"IF($A941<>\"\",IF(ZOZNAM!Q932=\"\",\"\",ZOZNAM!Q932),\"\")","v":""},{"$f":"IF($A941<>\"\",IF(ZOZNAM!R932=\"\",\"\",ZOZNAM!R932),\"\")","v":""},{"$f":"IF($A941<>\"\",IF(ZOZNAM!S932=\"\",\"\",ZOZNAM!S932),\"\")","v":""},{"$f":"IF($A941<>\"\",IF(ZOZNAM!T932=\"\",\"\",ZOZNAM!T932),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C933)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C933)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C933)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C933)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C933)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C933)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L933)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L933)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L933)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L933)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L933)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L933)),FALSE))),ZOZNAM!G933>=$C$9),ZOZNAM!A933,\"\")","v":"GE253"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!B933=\"\",\"\",ZOZNAM!B933),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!C933=\"\",\"\",ZOZNAM!C933),\"\")","v":"Collecting and Analyzing Longitudinal Social"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!D933=\"\",\"\",ZOZNAM!D933),\"\")","v":"Online"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!E933=\"\",\"\",ZOZNAM!E933),\"\")","v":5},{"$f":"IF($A942<>\"\",IF(ZOZNAM!F933=\"\",\"\",ZOZNAM!F933),\"\")","v":5},{"$f":"IF($A942<>\"\",IF(ZOZNAM!G933=\"\",\"\",ZOZNAM!G933),\"\")","v":"2021-08-16"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!H933=\"\",\"\",ZOZNAM!H933),\"\")","v":"2021-08-20"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!I933=\"\",\"\",ZOZNAM!I933),\"\")","v":"600 EUR"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!J933=\"\",\"\",ZOZNAM!J933),\"\")","v":""},{"$f":"IF($A942<>\"\",IF(ZOZNAM!K933=\"\",\"\",ZOZNAM!K933),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xE19ECB3292254A82A35B06CB6BBE44F4"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!L933=\"\",\"\",ZOZNAM!L933),\"\")","v":"Social scientists often are interested in understanding how social networks emerge and/or how they shape individual behavior. These questions of network formation (“selection”) and network effects (“influence”) concern both human individuals and organizational units. Examples for selection are the emergence of friendship between people or cooperation between firms; examples for influence are adolescents start smoking because of their friends or firms copying other firms' strategies. Selection and influence are inherently dynamic processes, but few social scientists have been trained in collecting, processing and analyzing longitudinal social network data.\nThis practical course guides participants who intent to collect and/or analyze longitudinal social network data. We start by conceptualizing and planning data collection, discussing both general challenges and, if applicable, participants' own projects. Thereafter, participants learn how to handle and manage network data in R by guided examples and exercises. The main part of the course focuses on specifying, estimating and interpreting stochastic actor-oriented models (SAOM) for network dynamics, again with a mix of guided examples and practical exercises using the R package RSiena. We consider selection and influence as well as how SAOM can help to empirically disentangle these competing processes."},{"$f":"IF($A942<>\"\",IF(ZOZNAM!M933=\"\",\"\",ZOZNAM!M933),\"\")","v":"Prerequisites\nBasic knowledge in quantitative data analysis\nPrior knowledge of social network analysis and/or R is helpful but not necessarily required"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!N933=\"\",\"\",ZOZNAM!N933),\"\")","v":"nie"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!O933=\"\",\"\",ZOZNAM!O933),\"\")","v":"nie"},{"$f":"IF($A942<>\"\",IF(ZOZNAM!P933=\"\",\"\",ZOZNAM!P933),\"\")","v":2.5},{"$f":"IF($A942<>\"\",IF(ZOZNAM!Q933=\"\",\"\",ZOZNAM!Q933),\"\")","v":""},{"$f":"IF($A942<>\"\",IF(ZOZNAM!R933=\"\",\"\",ZOZNAM!R933),\"\")","v":""},{"$f":"IF($A942<>\"\",IF(ZOZNAM!S933=\"\",\"\",ZOZNAM!S933),\"\")","v":""},{"$f":"IF($A942<>\"\",IF(ZOZNAM!T933=\"\",\"\",ZOZNAM!T933),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C951)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C951)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C951)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C951)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C951)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C951)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L951)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L951)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L951)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L951)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L951)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L951)),FALSE))),ZOZNAM!G951>=$C$9),ZOZNAM!A951,\"\")","v":"NS006"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!B951=\"\",\"\",ZOZNAM!B951),\"\")","v":"NATO School"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!C951=\"\",\"\",ZOZNAM!C951),\"\")","v":"Intelligence Analyst Course - Critical Thinking and Structured Analysis"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!D951=\"\",\"\",ZOZNAM!D951),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!E951=\"\",\"\",ZOZNAM!E951),\"\")","v":5},{"$f":"IF($A960<>\"\",IF(ZOZNAM!F951=\"\",\"\",ZOZNAM!F951),\"\")","v":5},{"$f":"IF($A960<>\"\",IF(ZOZNAM!G951=\"\",\"\",ZOZNAM!G951),\"\")","v":"2021-10-18"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!H951=\"\",\"\",ZOZNAM!H951),\"\")","v":"2021-10-22"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!I951=\"\",\"\",ZOZNAM!I951),\"\")","v":"0 EUR"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!J951=\"\",\"\",ZOZNAM!J951),\"\")","v":""},{"$f":"IF($A960<>\"\",IF(ZOZNAM!K951=\"\",\"\",ZOZNAM!K951),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=4&TabId=155&keyword=&code=&startdate=6%2f1%2f2021&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US#4aid-aid"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!L951=\"\",\"\",ZOZNAM!L951),\"\")","v":"IMPLEMENT CRITICAL THINKING SKILLS: Given references, the students will be able to implement critical thinking skills to analyse topic-associated data, information, and evidence, utilizing multiple analytical techniques IAW the DIA’s CT&SA participant handbook.\nAPPLY CRITICAL THINKING AND STRUCTURED ANALYTICAL TECHNIQUES: Given references, the students will be able to Identify and apply structured analytical techniques utilizing various methodologies IAW the DIA’s CT&SA participant handbook.\nASSESS INDIVIDUAL THINKING SKILLS BY MITIGATING BIASES: Given references, the students will be able to identify their personal biases and improve their thinking skills through implementation of bias mitigation strategies IAW the DIA’s CT&SA participant handbook.\nDEVELOP CONFIDENCE IN ANALYSIS AND CONCLUSIONS: Given references, the students will be able to increase confidence in their analysis and conclusions IAW the DIA’s CT&SA tradecraft\nINTRODUCE INTELLIGENCE ANALYSIS IN NATO: Given references, the students will be able to explain the NATO doctrinal and organizational framework as well as current practise of intelligence analysis IAW NATO intelligence documents."},{"$f":"IF($A960<>\"\",IF(ZOZNAM!M951=\"\",\"\",ZOZNAM!M951),\"\")","v":"NATO Unclassified. Participants : Military non-commissioned officers and officers (OR-5 through OF-5) or civilian equivalent who are assigned, or selected for assignment, to a position in a NATO/Partner Headquarters or Agency, a NATO/Partner subordinate military headquarters, unit or agency of any NATO country which fulfils responsibilities in support of NATO. Priority is given to NATO Command Structure Peacetime Establishment personnel."},{"$f":"IF($A960<>\"\",IF(ZOZNAM!N951=\"\",\"\",ZOZNAM!N951),\"\")","v":"nie"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!O951=\"\",\"\",ZOZNAM!O951),\"\")","v":"nie"},{"$f":"IF($A960<>\"\",IF(ZOZNAM!P951=\"\",\"\",ZOZNAM!P951),\"\")","v":""},{"$f":"IF($A960<>\"\",IF(ZOZNAM!Q951=\"\",\"\",ZOZNAM!Q951),\"\")","v":""},{"$f":"IF($A960<>\"\",IF(ZOZNAM!R951=\"\",\"\",ZOZNAM!R951),\"\")","v":""},{"$f":"IF($A960<>\"\",IF(ZOZNAM!S951=\"\",\"\",ZOZNAM!S951),\"\")","v":""},{"$f":"IF($A960<>\"\",IF(ZOZNAM!T951=\"\",\"\",ZOZNAM!T951),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C952)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C952)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C952)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C952)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C952)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C952)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L952)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L952)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L952)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L952)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L952)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L952)),FALSE))),ZOZNAM!G952>=$C$9),ZOZNAM!A952,\"\")","v":"NS007"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!B952=\"\",\"\",ZOZNAM!B952),\"\")","v":"NATO School"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!C952=\"\",\"\",ZOZNAM!C952),\"\")","v":"NATO CBRN Analysis Operators Course"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!D952=\"\",\"\",ZOZNAM!D952),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!E952=\"\",\"\",ZOZNAM!E952),\"\")","v":5},{"$f":"IF($A961<>\"\",IF(ZOZNAM!F952=\"\",\"\",ZOZNAM!F952),\"\")","v":5},{"$f":"IF($A961<>\"\",IF(ZOZNAM!G952=\"\",\"\",ZOZNAM!G952),\"\")","v":"2021-08-23"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!H952=\"\",\"\",ZOZNAM!H952),\"\")","v":"2021-08-27"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!I952=\"\",\"\",ZOZNAM!I952),\"\")","v":"0 EUR"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!J952=\"\",\"\",ZOZNAM!J952),\"\")","v":""},{"$f":"IF($A961<>\"\",IF(ZOZNAM!K952=\"\",\"\",ZOZNAM!K952),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=74&TabId=155&keyword=&code=&startdate=6%2f1%2f2021&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!L952=\"\",\"\",ZOZNAM!L952),\"\")","v":"CBRN Analysis Program Concepts: Given references on CBRN Analysis software, the student will explain the CBRN warning and reporting concepts, capabilities, and limitations of the program in accordance with the operator’s manual and ATP-45.\nOperation Methodology: Given references on CBRN Analysis software, the student will demonstrate the ability to navigate program tools involving chemical, biological, nuclear, and radiological attack scenarios in accordance with the operator’s manual and ATP-45.\nConsequence Assessment: Given references on CBRN Analysis software, the student will apply input parameters for consequence assessment outputs in accordance with the operator’s manual and ATP-45."},{"$f":"IF($A961<>\"\",IF(ZOZNAM!M952=\"\",\"\",ZOZNAM!M952),\"\")","v":"NATO Unclassified. Participants : Military non-commissioned officers and officers (OR-5 through OF-5) or civilian equivalent who are assigned, or selected for assignment, to a position in a NATO/Partner Headquarters or Agency, a NATO/Partner subordinate military headquarters, unit or agency of any NATO country which fulfils responsibilities in support of NATO. Priority is given to NATO Command Structure Peacetime Establishment personnel."},{"$f":"IF($A961<>\"\",IF(ZOZNAM!N952=\"\",\"\",ZOZNAM!N952),\"\")","v":"nie"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!O952=\"\",\"\",ZOZNAM!O952),\"\")","v":"nie"},{"$f":"IF($A961<>\"\",IF(ZOZNAM!P952=\"\",\"\",ZOZNAM!P952),\"\")","v":""},{"$f":"IF($A961<>\"\",IF(ZOZNAM!Q952=\"\",\"\",ZOZNAM!Q952),\"\")","v":""},{"$f":"IF($A961<>\"\",IF(ZOZNAM!R952=\"\",\"\",ZOZNAM!R952),\"\")","v":""},{"$f":"IF($A961<>\"\",IF(ZOZNAM!S952=\"\",\"\",ZOZNAM!S952),\"\")","v":""},{"$f":"IF($A961<>\"\",IF(ZOZNAM!T952=\"\",\"\",ZOZNAM!T952),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C953)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C953)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C953)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C953)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C953)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C953)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L953)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L953)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L953)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L953)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L953)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L953)),FALSE))),ZOZNAM!G953>=$C$9),ZOZNAM!A953,\"\")","v":"NS008"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!B953=\"\",\"\",ZOZNAM!B953),\"\")","v":"NATO School"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!C953=\"\",\"\",ZOZNAM!C953),\"\")","v":"Network Traffic Analysis"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!D953=\"\",\"\",ZOZNAM!D953),\"\")","v":"Oberammergau, Nemecko"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!E953=\"\",\"\",ZOZNAM!E953),\"\")","v":50},{"$f":"IF($A962<>\"\",IF(ZOZNAM!F953=\"\",\"\",ZOZNAM!F953),\"\")","v":70},{"$f":"IF($A962<>\"\",IF(ZOZNAM!G953=\"\",\"\",ZOZNAM!G953),\"\")","v":"2021-06-12"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!H953=\"\",\"\",ZOZNAM!H953),\"\")","v":"2021-08-20"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!I953=\"\",\"\",ZOZNAM!I953),\"\")","v":"0 EUR"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!J953=\"\",\"\",ZOZNAM!J953),\"\")","v":""},{"$f":"IF($A962<>\"\",IF(ZOZNAM!K953=\"\",\"\",ZOZNAM!K953),\"\")","v":"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=107&TabId=155&keyword=&code=&startdate=6%2f1%2f2021&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!L953=\"\",\"\",ZOZNAM!L953),\"\")","v":"Plan for Data Collection: Based on guided, hands-on lab exercises, independently completed challenge problems, and Distance Learning (DL) analysis problems, students will be able to systematically plan for data collection, in accordance with the guidelines provided by the course material.\nCapture Traffic of Interest: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems students will capture traffic of interest, in accordance with the guidelines provided by the course material.\nAnalyze Traffic: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems, students will analyse the traffic in accordance with the guidelines provided by the course material.\nDemonstrate Appropriate NT Actions: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems on traffic analysis, students will demonstrate appropriate action as a result of the analysis in accordance with the guidelines provided by the course material.\nEmploy Expert Systems: For a given data collection, students will be able to determine who is talking, what applications are being used, filter on conversations of interest, create statistical graphs related to issues of interest, employ expert systems to recognize anomalies and diagnose problem areas in accordance with the guidelines provided by the course material.\nDemonstrate Network Analysis, Troubleshooting, Security Analysis and Performance Evaluation Methods: Given the skills acquired during the course, students will demonstrate general analysis, network troubleshooting, security analysis, and application performance evaluation in accordance with the guidelines provided by the course material.\nApply Wireshark/Tshark/Kismet/LibCap/Wincap Tools: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems students will demonstrate the use of Wireshark, tshark, kismet, and libpcap/Wincap in accordance with the guidelines provided by the course material.\nDescribe Wireshark Functionality: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems, students will describe functionaility of Wireshark to include dissector evaluation, capture filters, display filters, and IO graph development in accordance with the guidelines provided by the course material\nPrevent Cyberattacks: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems students will identify the precursors of a cyber attack to allow them to take preventive measures in accordance with the guidelines provided by the course material.\nDiagnose Root Causes of Suspect Traffic: In the case of forensic analysis, students will be able to identify suspect traffic and make associations to identify root causes in accordance with the guidelines provided by the course 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The target audience is personnel (security managers, technicians and engineers) those work responsibilities require or would benefit from understanding of network protocol behaviour, mastering the utilization of a protocol/traffic analyser and developing a forensic explanation.\nNATO Unckassified."},{"$f":"IF($A962<>\"\",IF(ZOZNAM!N953=\"\",\"\",ZOZNAM!N953),\"\")","v":"nie"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!O953=\"\",\"\",ZOZNAM!O953),\"\")","v":"nie"},{"$f":"IF($A962<>\"\",IF(ZOZNAM!P953=\"\",\"\",ZOZNAM!P953),\"\")","v":""},{"$f":"IF($A962<>\"\",IF(ZOZNAM!Q953=\"\",\"\",ZOZNAM!Q953),\"\")","v":""},{"$f":"IF($A962<>\"\",IF(ZOZNAM!R953=\"\",\"\",ZOZNAM!R953),\"\")","v":""},{"$f":"IF($A962<>\"\",IF(ZOZNAM!S953=\"\",\"\",ZOZNAM!S953),\"\")","v":""},{"$f":"IF($A962<>\"\",IF(ZOZNAM!T953=\"\",\"\",ZOZNAM!T953),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C956)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C956)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C956)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C956)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C956)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C956)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L956)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L956)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L956)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L956)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L956)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L956)),FALSE))),ZOZNAM!G956>=$C$9),ZOZNAM!A956,\"\")","v":"PT022"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!B956=\"\",\"\",ZOZNAM!B956),\"\")","v":"PTV Group"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!C956=\"\",\"\",ZOZNAM!C956),\"\")","v":"PTV Vissim - Realistic Pedestrian Simulation with Viswalk"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!D956=\"\",\"\",ZOZNAM!D956),\"\")","v":"Online"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!E956=\"\",\"\",ZOZNAM!E956),\"\")","v":1},{"$f":"IF($A965<>\"\",IF(ZOZNAM!F956=\"\",\"\",ZOZNAM!F956),\"\")","v":1},{"$f":"IF($A965<>\"\",IF(ZOZNAM!G956=\"\",\"\",ZOZNAM!G956),\"\")","v":"2021-06-10"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!H956=\"\",\"\",ZOZNAM!H956),\"\")","v":"2021-06-10"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!I956=\"\",\"\",ZOZNAM!I956),\"\")","v":"450 GPB"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!J956=\"\",\"\",ZOZNAM!J956),\"\")","v":""},{"$f":"IF($A965<>\"\",IF(ZOZNAM!K956=\"\",\"\",ZOZNAM!K956),\"\")","v":"https://www.ptvgroup.com/en/training/courses/tr-t0203/"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!L956=\"\",\"\",ZOZNAM!L956),\"\")","v":"Do you want to integrate pedestrians into your PTV Vissim simulations and use PTV Viswalk, the tool for the realistic simulation of pedestrian flows? The purpose of this one-day course is to explain the theoretical details of pedestrian simulation and to show you how to develop a pedestrian flow model which allows you to carry out your projects efficiently and successfully."},{"$f":"IF($A965<>\"\",IF(ZOZNAM!M956=\"\",\"\",ZOZNAM!M956),\"\")","v":""},{"$f":"IF($A965<>\"\",IF(ZOZNAM!N956=\"\",\"\",ZOZNAM!N956),\"\")","v":"nie"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!O956=\"\",\"\",ZOZNAM!O956),\"\")","v":"nie"},{"$f":"IF($A965<>\"\",IF(ZOZNAM!P956=\"\",\"\",ZOZNAM!P956),\"\")","v":""},{"$f":"IF($A965<>\"\",IF(ZOZNAM!Q956=\"\",\"\",ZOZNAM!Q956),\"\")","v":""},{"$f":"IF($A965<>\"\",IF(ZOZNAM!R956=\"\",\"\",ZOZNAM!R956),\"\")","v":""},{"$f":"IF($A965<>\"\",IF(ZOZNAM!S956=\"\",\"\",ZOZNAM!S956),\"\")","v":""},{"$f":"IF($A965<>\"\",IF(ZOZNAM!T956=\"\",\"\",ZOZNAM!T956),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C957)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C957)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C957)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C957)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C957)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C957)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L957)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L957)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L957)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L957)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L957)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L957)),FALSE))),ZOZNAM!G957>=$C$9),ZOZNAM!A957,\"\")","v":"PT023"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!B957=\"\",\"\",ZOZNAM!B957),\"\")","v":"PTV Group"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!C957=\"\",\"\",ZOZNAM!C957),\"\")","v":"Introduction to Public Transport Modelling"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!D957=\"\",\"\",ZOZNAM!D957),\"\")","v":"Online"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!E957=\"\",\"\",ZOZNAM!E957),\"\")","v":1},{"$f":"IF($A966<>\"\",IF(ZOZNAM!F957=\"\",\"\",ZOZNAM!F957),\"\")","v":1},{"$f":"IF($A966<>\"\",IF(ZOZNAM!G957=\"\",\"\",ZOZNAM!G957),\"\")","v":"2021-06-11"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!H957=\"\",\"\",ZOZNAM!H957),\"\")","v":"2021-06-11"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!I957=\"\",\"\",ZOZNAM!I957),\"\")","v":"535,50 EUR"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!J957=\"\",\"\",ZOZNAM!J957),\"\")","v":""},{"$f":"IF($A966<>\"\",IF(ZOZNAM!K957=\"\",\"\",ZOZNAM!K957),\"\")","v":"https://www.ptvgroup.com/en/training/courses/tr-t0102/"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!L957=\"\",\"\",ZOZNAM!L957),\"\")","v":"Primarily you work in the area of private transport modeling. Additionally, you would like to know how to handle the network objects which are required for modelling public transport networks. You will learn the fundamentals of public transport supply modelling. Moreover, how to connect the public transport demand and supply in PTV Visum will be explained. This training course serves as the basis for the use of the basic public transport functionality in PTV Visum. Users who are interested in detailed public transport modeling are recommended to attend the two-day Public Transport basic training course which includes both supply and demand."},{"$f":"IF($A966<>\"\",IF(ZOZNAM!M957=\"\",\"\",ZOZNAM!M957),\"\")","v":""},{"$f":"IF($A966<>\"\",IF(ZOZNAM!N957=\"\",\"\",ZOZNAM!N957),\"\")","v":"nie"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!O957=\"\",\"\",ZOZNAM!O957),\"\")","v":"nie"},{"$f":"IF($A966<>\"\",IF(ZOZNAM!P957=\"\",\"\",ZOZNAM!P957),\"\")","v":""},{"$f":"IF($A966<>\"\",IF(ZOZNAM!Q957=\"\",\"\",ZOZNAM!Q957),\"\")","v":""},{"$f":"IF($A966<>\"\",IF(ZOZNAM!R957=\"\",\"\",ZOZNAM!R957),\"\")","v":""},{"$f":"IF($A966<>\"\",IF(ZOZNAM!S957=\"\",\"\",ZOZNAM!S957),\"\")","v":""},{"$f":"IF($A966<>\"\",IF(ZOZNAM!T957=\"\",\"\",ZOZNAM!T957),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C958)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C958)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C958)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C958)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C958)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C958)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L958)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L958)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L958)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L958)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L958)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L958)),FALSE))),ZOZNAM!G958>=$C$9),ZOZNAM!A958,\"\")","v":"SH012"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!B958=\"\",\"\",ZOZNAM!B958),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!C958=\"\",\"\",ZOZNAM!C958),\"\")","v":"An Introduction to health economics: how should we finance and organize our health care systems"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!D958=\"\",\"\",ZOZNAM!D958),\"\")","v":"Online"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!E958=\"\",\"\",ZOZNAM!E958),\"\")","v":1},{"$f":"IF($A967<>\"\",IF(ZOZNAM!F958=\"\",\"\",ZOZNAM!F958),\"\")","v":1},{"$f":"IF($A967<>\"\",IF(ZOZNAM!G958=\"\",\"\",ZOZNAM!G958),\"\")","v":"2021-08-26"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!H958=\"\",\"\",ZOZNAM!H958),\"\")","v":"2021-08-26"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!I958=\"\",\"\",ZOZNAM!I958),\"\")","v":"300 CHF"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!J958=\"\",\"\",ZOZNAM!J958),\"\")","v":"2021-08-02"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!K958=\"\",\"\",ZOZNAM!K958),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_checon/"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!L958=\"\",\"\",ZOZNAM!L958),\"\")","v":"This day-long course shows how the tools of health economics can be used to understand the health and welfare implications of how our health care systems are funded and organized.\nLearning objectives:\nAt the end of the course students will be able to:\n\nExplain the constraints that resource scarcity places on health care decision-making;\nOutline varied forms of funding and financial protection in the healthcare system;\nCalculate resource capacity to meet the health needs of the population;\nInterpret the interrelationship between health and income at the individual and national level."},{"$f":"IF($A967<>\"\",IF(ZOZNAM!M958=\"\",\"\",ZOZNAM!M958),\"\")","v":""},{"$f":"IF($A967<>\"\",IF(ZOZNAM!N958=\"\",\"\",ZOZNAM!N958),\"\")","v":"nie"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!O958=\"\",\"\",ZOZNAM!O958),\"\")","v":"áno"},{"$f":"IF($A967<>\"\",IF(ZOZNAM!P958=\"\",\"\",ZOZNAM!P958),\"\")","v":""},{"$f":"IF($A967<>\"\",IF(ZOZNAM!Q958=\"\",\"\",ZOZNAM!Q958),\"\")","v":""},{"$f":"IF($A967<>\"\",IF(ZOZNAM!R958=\"\",\"\",ZOZNAM!R958),\"\")","v":""},{"$f":"IF($A967<>\"\",IF(ZOZNAM!S958=\"\",\"\",ZOZNAM!S958),\"\")","v":""},{"$f":"IF($A967<>\"\",IF(ZOZNAM!T958=\"\",\"\",ZOZNAM!T958),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C959)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C959)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C959)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C959)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C959)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C959)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L959)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L959)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L959)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L959)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L959)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L959)),FALSE))),ZOZNAM!G959>=$C$9),ZOZNAM!A959,\"\")","v":"SH013"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!B959=\"\",\"\",ZOZNAM!B959),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!C959=\"\",\"\",ZOZNAM!C959),\"\")","v":"Designing Health Care: Improving health care through Evidence-based Design"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!D959=\"\",\"\",ZOZNAM!D959),\"\")","v":"Online"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!E959=\"\",\"\",ZOZNAM!E959),\"\")","v":1},{"$f":"IF($A968<>\"\",IF(ZOZNAM!F959=\"\",\"\",ZOZNAM!F959),\"\")","v":1},{"$f":"IF($A968<>\"\",IF(ZOZNAM!G959=\"\",\"\",ZOZNAM!G959),\"\")","v":"2021-08-27"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!H959=\"\",\"\",ZOZNAM!H959),\"\")","v":"2021-08-27"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!I959=\"\",\"\",ZOZNAM!I959),\"\")","v":"300 CHF"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!J959=\"\",\"\",ZOZNAM!J959),\"\")","v":"2021-08-02"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!K959=\"\",\"\",ZOZNAM!K959),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cDHC/"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!L959=\"\",\"\",ZOZNAM!L959),\"\")","v":"In this one-day course, participants will gain an insight into evidence-based design in the healthcare sector and learn more about its processes and tools. In the first part, members of the interdisciplinary research group Health Care Communication Design HCCD of the Bern University of Applied Sciences BFH and the newly founded Swiss Center for Design and Health, will provide participants with some theoretical background. They use recent examples from the pandemic crisis and from their own work to show what effects design measures can have in the context of health care. In the second part, the course’s participants will take on a concrete case and work on it in groups. The goal is to develop an understanding of the respective context and to formulate appropriate solutions with the help of design methods. In a final round, the various approaches will be presented and discussed in plenary."},{"$f":"IF($A968<>\"\",IF(ZOZNAM!M959=\"\",\"\",ZOZNAM!M959),\"\")","v":""},{"$f":"IF($A968<>\"\",IF(ZOZNAM!N959=\"\",\"\",ZOZNAM!N959),\"\")","v":"nie"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!O959=\"\",\"\",ZOZNAM!O959),\"\")","v":"nie"},{"$f":"IF($A968<>\"\",IF(ZOZNAM!P959=\"\",\"\",ZOZNAM!P959),\"\")","v":""},{"$f":"IF($A968<>\"\",IF(ZOZNAM!Q959=\"\",\"\",ZOZNAM!Q959),\"\")","v":""},{"$f":"IF($A968<>\"\",IF(ZOZNAM!R959=\"\",\"\",ZOZNAM!R959),\"\")","v":""},{"$f":"IF($A968<>\"\",IF(ZOZNAM!S959=\"\",\"\",ZOZNAM!S959),\"\")","v":""},{"$f":"IF($A968<>\"\",IF(ZOZNAM!T959=\"\",\"\",ZOZNAM!T959),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C960)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C960)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C960)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C960)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C960)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C960)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L960)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L960)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L960)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L960)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L960)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L960)),FALSE))),ZOZNAM!G960>=$C$9),ZOZNAM!A960,\"\")","v":"SH014"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!B960=\"\",\"\",ZOZNAM!B960),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!C960=\"\",\"\",ZOZNAM!C960),\"\")","v":"Is Breathing killing us? Tackling Air Pollution using science for policies to protect health"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!D960=\"\",\"\",ZOZNAM!D960),\"\")","v":"Online"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!E960=\"\",\"\",ZOZNAM!E960),\"\")","v":3},{"$f":"IF($A969<>\"\",IF(ZOZNAM!F960=\"\",\"\",ZOZNAM!F960),\"\")","v":3},{"$f":"IF($A969<>\"\",IF(ZOZNAM!G960=\"\",\"\",ZOZNAM!G960),\"\")","v":"2021-08-23"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!H960=\"\",\"\",ZOZNAM!H960),\"\")","v":"2021-08-25"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!I960=\"\",\"\",ZOZNAM!I960),\"\")","v":"300 CHF"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!J960=\"\",\"\",ZOZNAM!J960),\"\")","v":"2021-08-02"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!K960=\"\",\"\",ZOZNAM!K960),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cAP/"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!L960=\"\",\"\",ZOZNAM!L960),\"\")","v":"Ambient air pollution is a leading cause of morbidities and premature death. The course provides basic insights into the measurement, modelling and monitoring of exposure to air pollution, it’s health effects and the overall impact and costs for public health. Clean air policy solutions will be introduced with success stories, “low hanging fruits” and global challenges for the implementation of these policies. Students will explore global examples of policy approaches and strength and limitations in their own countries. Group work of students will draft strategies to adopt at least one clean air policy."},{"$f":"IF($A969<>\"\",IF(ZOZNAM!M960=\"\",\"\",ZOZNAM!M960),\"\")","v":""},{"$f":"IF($A969<>\"\",IF(ZOZNAM!N960=\"\",\"\",ZOZNAM!N960),\"\")","v":"nie"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!O960=\"\",\"\",ZOZNAM!O960),\"\")","v":"nie"},{"$f":"IF($A969<>\"\",IF(ZOZNAM!P960=\"\",\"\",ZOZNAM!P960),\"\")","v":""},{"$f":"IF($A969<>\"\",IF(ZOZNAM!Q960=\"\",\"\",ZOZNAM!Q960),\"\")","v":""},{"$f":"IF($A969<>\"\",IF(ZOZNAM!R960=\"\",\"\",ZOZNAM!R960),\"\")","v":""},{"$f":"IF($A969<>\"\",IF(ZOZNAM!S960=\"\",\"\",ZOZNAM!S960),\"\")","v":""},{"$f":"IF($A969<>\"\",IF(ZOZNAM!T960=\"\",\"\",ZOZNAM!T960),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C961)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C961)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C961)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C961)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C961)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C961)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L961)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L961)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L961)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L961)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L961)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L961)),FALSE))),ZOZNAM!G961>=$C$9),ZOZNAM!A961,\"\")","v":"SH015"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!B961=\"\",\"\",ZOZNAM!B961),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!C961=\"\",\"\",ZOZNAM!C961),\"\")","v":"Community-based participatory methods in public health"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!D961=\"\",\"\",ZOZNAM!D961),\"\")","v":"Online"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!E961=\"\",\"\",ZOZNAM!E961),\"\")","v":3},{"$f":"IF($A970<>\"\",IF(ZOZNAM!F961=\"\",\"\",ZOZNAM!F961),\"\")","v":3},{"$f":"IF($A970<>\"\",IF(ZOZNAM!G961=\"\",\"\",ZOZNAM!G961),\"\")","v":"2021-08-23"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!H961=\"\",\"\",ZOZNAM!H961),\"\")","v":"2021-08-25"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!I961=\"\",\"\",ZOZNAM!I961),\"\")","v":"800 CHF"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!J961=\"\",\"\",ZOZNAM!J961),\"\")","v":"2021-08-02"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!K961=\"\",\"\",ZOZNAM!K961),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cCBPM/"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!L961=\"\",\"\",ZOZNAM!L961),\"\")","v":"This course aims to provide participants with knowledge about the key principles, methods, concepts and techniques of community-based participatory methods and the practical application of CBPM in the context of public health. Participants will learn how CBPM can be applied in the design, implementation and evaluation of public health programmes (i.e. health promotion, prevention of disease and management of chronic illness). It will also facilitate a space of reflection to examine how CBPM can be used to support the response to the Covid-19 pandemic including vaccination efforts and interventions to tackle health inequalities.   "},{"$f":"IF($A970<>\"\",IF(ZOZNAM!M961=\"\",\"\",ZOZNAM!M961),\"\")","v":"Assessment procedure:\nGroup work: Create a proposal/plan for a community based participatory project (this can be based on students’ own experience or to address a health problem in their own country).\nA 10-minute PowerPoint/Prezi presentation of the plan to deliver in class.\nContribution to class, forum discussions and exercises."},{"$f":"IF($A970<>\"\",IF(ZOZNAM!N961=\"\",\"\",ZOZNAM!N961),\"\")","v":"nie"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!O961=\"\",\"\",ZOZNAM!O961),\"\")","v":"áno"},{"$f":"IF($A970<>\"\",IF(ZOZNAM!P961=\"\",\"\",ZOZNAM!P961),\"\")","v":""},{"$f":"IF($A970<>\"\",IF(ZOZNAM!Q961=\"\",\"\",ZOZNAM!Q961),\"\")","v":""},{"$f":"IF($A970<>\"\",IF(ZOZNAM!R961=\"\",\"\",ZOZNAM!R961),\"\")","v":""},{"$f":"IF($A970<>\"\",IF(ZOZNAM!S961=\"\",\"\",ZOZNAM!S961),\"\")","v":""},{"$f":"IF($A970<>\"\",IF(ZOZNAM!T961=\"\",\"\",ZOZNAM!T961),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C962)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C962)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C962)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C962)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C962)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C962)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L962)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L962)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L962)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L962)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L962)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L962)),FALSE))),ZOZNAM!G962>=$C$9),ZOZNAM!A962,\"\")","v":"SH016"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!B962=\"\",\"\",ZOZNAM!B962),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!C962=\"\",\"\",ZOZNAM!C962),\"\")","v":"NCD control in a global health perspective: Public health and systems strengthening approaches"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!D962=\"\",\"\",ZOZNAM!D962),\"\")","v":"Online"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!E962=\"\",\"\",ZOZNAM!E962),\"\")","v":3},{"$f":"IF($A971<>\"\",IF(ZOZNAM!F962=\"\",\"\",ZOZNAM!F962),\"\")","v":3},{"$f":"IF($A971<>\"\",IF(ZOZNAM!G962=\"\",\"\",ZOZNAM!G962),\"\")","v":"2021-08-23"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!H962=\"\",\"\",ZOZNAM!H962),\"\")","v":"2021-08-25"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!I962=\"\",\"\",ZOZNAM!I962),\"\")","v":"800 CHF"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!J962=\"\",\"\",ZOZNAM!J962),\"\")","v":"2021-08-02"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!K962=\"\",\"\",ZOZNAM!K962),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cNCD/"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!L962=\"\",\"\",ZOZNAM!L962),\"\")","v":"At the end of the course participants will:\n\nKnow effective, efficient, equitable and sustainable approaches for NCD prevention and control, with a focus on middle- and low-income countries.\nBe aware of major cost-effective and affordable public health interventions for the prevention and control of NCDs and relate them with multisectoral interventions and health system strengthening.\nBe aware of the critical elements and successful approaches to strengthen health systems to deliver NCD services.\nIdentify the rationale, benefits and resources needed for implementing, respectively, the “public health” approach versus the “health services” approach for the prevention and control of NCDs."},{"$f":"IF($A971<>\"\",IF(ZOZNAM!M962=\"\",\"\",ZOZNAM!M962),\"\")","v":""},{"$f":"IF($A971<>\"\",IF(ZOZNAM!N962=\"\",\"\",ZOZNAM!N962),\"\")","v":"nie"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!O962=\"\",\"\",ZOZNAM!O962),\"\")","v":"nie"},{"$f":"IF($A971<>\"\",IF(ZOZNAM!P962=\"\",\"\",ZOZNAM!P962),\"\")","v":""},{"$f":"IF($A971<>\"\",IF(ZOZNAM!Q962=\"\",\"\",ZOZNAM!Q962),\"\")","v":""},{"$f":"IF($A971<>\"\",IF(ZOZNAM!R962=\"\",\"\",ZOZNAM!R962),\"\")","v":""},{"$f":"IF($A971<>\"\",IF(ZOZNAM!S962=\"\",\"\",ZOZNAM!S962),\"\")","v":""},{"$f":"IF($A971<>\"\",IF(ZOZNAM!T962=\"\",\"\",ZOZNAM!T962),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C963)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C963)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C963)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C963)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C963)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C963)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L963)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L963)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L963)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L963)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L963)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L963)),FALSE))),ZOZNAM!G963>=$C$9),ZOZNAM!A963,\"\")","v":"SH017"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!B963=\"\",\"\",ZOZNAM!B963),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!C963=\"\",\"\",ZOZNAM!C963),\"\")","v":"Harnessing systems modelling and simulation to guide strategic health investments and actions"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!D963=\"\",\"\",ZOZNAM!D963),\"\")","v":"Online"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!E963=\"\",\"\",ZOZNAM!E963),\"\")","v":2},{"$f":"IF($A972<>\"\",IF(ZOZNAM!F963=\"\",\"\",ZOZNAM!F963),\"\")","v":3},{"$f":"IF($A972<>\"\",IF(ZOZNAM!G963=\"\",\"\",ZOZNAM!G963),\"\")","v":"2021-08-26"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!H963=\"\",\"\",ZOZNAM!H963),\"\")","v":"2021-08-28"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!I963=\"\",\"\",ZOZNAM!I963),\"\")","v":"800 CHF"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!J963=\"\",\"\",ZOZNAM!J963),\"\")","v":"2021-08-02"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!K963=\"\",\"\",ZOZNAM!K963),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cSA/"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!L963=\"\",\"\",ZOZNAM!L963),\"\")","v":"By the end of the course participants will:\n\nBe familiar with the concepts, methods and applications of systems modelling and simulation in the context of population health;\nBe able to define and describe the modelling methods, including their appropriate use for answering different questions;\nUnderstand the value of systems modelling and simulation in the global health toolkit;\nBe able to build, calibrate, and run simple and intermediate level prototype models using off the shelf software and conduct scenario testing;\nUnderstand the value of participatory approaches to model development."},{"$f":"IF($A972<>\"\",IF(ZOZNAM!M963=\"\",\"\",ZOZNAM!M963),\"\")","v":"Assessment procedure:\nSubmission of a running prototype model – several will be developed during the course, however, only one will be required to be submitted at the discretion of the student.\nPrerequisites:\nA laptop with 4 core CPU, 8 GB RAM and Windows 10 operating system or Mac OS.\nCompetency with computers and regular use of numerically oriented software programs such as Microsoft Excel.\nFamiliarity with descriptive statistics and in particular the concept of probability distribution.\nPreparatory work before the course including recommended readings and downloading of free software. (~1-5 hours)"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!N963=\"\",\"\",ZOZNAM!N963),\"\")","v":"nie"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!O963=\"\",\"\",ZOZNAM!O963),\"\")","v":"áno"},{"$f":"IF($A972<>\"\",IF(ZOZNAM!P963=\"\",\"\",ZOZNAM!P963),\"\")","v":""},{"$f":"IF($A972<>\"\",IF(ZOZNAM!Q963=\"\",\"\",ZOZNAM!Q963),\"\")","v":""},{"$f":"IF($A972<>\"\",IF(ZOZNAM!R963=\"\",\"\",ZOZNAM!R963),\"\")","v":""},{"$f":"IF($A972<>\"\",IF(ZOZNAM!S963=\"\",\"\",ZOZNAM!S963),\"\")","v":""},{"$f":"IF($A972<>\"\",IF(ZOZNAM!T963=\"\",\"\",ZOZNAM!T963),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C964)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C964)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C964)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C964)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C964)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C964)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L964)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L964)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L964)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L964)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L964)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L964)),FALSE))),ZOZNAM!G964>=$C$9),ZOZNAM!A964,\"\")","v":"SH018"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!B964=\"\",\"\",ZOZNAM!B964),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!C964=\"\",\"\",ZOZNAM!C964),\"\")","v":"Policy Options on Mental Health"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!D964=\"\",\"\",ZOZNAM!D964),\"\")","v":"Online"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!E964=\"\",\"\",ZOZNAM!E964),\"\")","v":2},{"$f":"IF($A973<>\"\",IF(ZOZNAM!F964=\"\",\"\",ZOZNAM!F964),\"\")","v":3},{"$f":"IF($A973<>\"\",IF(ZOZNAM!G964=\"\",\"\",ZOZNAM!G964),\"\")","v":"2021-08-26"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!H964=\"\",\"\",ZOZNAM!H964),\"\")","v":"2021-08-28"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!I964=\"\",\"\",ZOZNAM!I964),\"\")","v":"800 CHF"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!J964=\"\",\"\",ZOZNAM!J964),\"\")","v":"2021-08-02"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!K964=\"\",\"\",ZOZNAM!K964),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cMHP/"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!L964=\"\",\"\",ZOZNAM!L964),\"\")","v":"Good mental health policy will help people, organizations, and governments deal with the novel coronavirus and meet the Sustainable Development Goals (SDGs). The mental health challenges we face are both immediately and long term, and mental health is now conceived as a public good, crucial to attain economic growth, social inclusion, and environmental protection. The prominence of social determinants of mental health and a shift from diagnosis to a dimensional approach provide unique opportunities for mental health promotion, and prevention. Now more than ever, it is imperative that mental health policies align with the SDGs, and implementation efforts embrace and promote multisectoral approaches and actively involve stakeholders.\n\n The course will address:\n\nPending and pressing issues and challenges in public mental health\nMental Health Policy and Plans, and Mental Health Services\nIdentification and use of policy options for the implementation of mental health policies\nThe impact of the COVID19 epidemic on mental health"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!M964=\"\",\"\",ZOZNAM!M964),\"\")","v":"Assessment procedure:\nAt the end of the course, participants will be asked to write a two-page policy brief on a topic of their choice."},{"$f":"IF($A973<>\"\",IF(ZOZNAM!N964=\"\",\"\",ZOZNAM!N964),\"\")","v":"nie"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!O964=\"\",\"\",ZOZNAM!O964),\"\")","v":"áno"},{"$f":"IF($A973<>\"\",IF(ZOZNAM!P964=\"\",\"\",ZOZNAM!P964),\"\")","v":""},{"$f":"IF($A973<>\"\",IF(ZOZNAM!Q964=\"\",\"\",ZOZNAM!Q964),\"\")","v":""},{"$f":"IF($A973<>\"\",IF(ZOZNAM!R964=\"\",\"\",ZOZNAM!R964),\"\")","v":""},{"$f":"IF($A973<>\"\",IF(ZOZNAM!S964=\"\",\"\",ZOZNAM!S964),\"\")","v":""},{"$f":"IF($A973<>\"\",IF(ZOZNAM!T964=\"\",\"\",ZOZNAM!T964),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C965)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C965)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C965)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C965)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C965)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C965)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L965)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L965)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L965)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L965)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L965)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L965)),FALSE))),ZOZNAM!G965>=$C$9),ZOZNAM!A965,\"\")","v":"TC011"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!B965=\"\",\"\",ZOZNAM!B965),\"\")","v":"Tayllorcox"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!C965=\"\",\"\",ZOZNAM!C965),\"\")","v":"Prince2 foundation"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!D965=\"\",\"\",ZOZNAM!D965),\"\")","v":"Online/Praha, Česko"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!E965=\"\",\"\",ZOZNAM!E965),\"\")","v":3},{"$f":"IF($A974<>\"\",IF(ZOZNAM!F965=\"\",\"\",ZOZNAM!F965),\"\")","v":3},{"$f":"IF($A974<>\"\",IF(ZOZNAM!G965=\"\",\"\",ZOZNAM!G965),\"\")","v":"2021-07-12"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!H965=\"\",\"\",ZOZNAM!H965),\"\")","v":"2021-07-14"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!I965=\"\",\"\",ZOZNAM!I965),\"\")","v":"19 600 Kč + DPH"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!J965=\"\",\"\",ZOZNAM!J965),\"\")","v":""},{"$f":"IF($A974<>\"\",IF(ZOZNAM!K965=\"\",\"\",ZOZNAM!K965),\"\")","v":"https://www.tx.cz/prince2/prince2-foundation"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!L965=\"\",\"\",ZOZNAM!L965),\"\")","v":"Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory."},{"$f":"IF($A974<>\"\",IF(ZOZNAM!M965=\"\",\"\",ZOZNAM!M965),\"\")","v":"Inštitúcia ponúka viacero termínov kurzu."},{"$f":"IF($A974<>\"\",IF(ZOZNAM!N965=\"\",\"\",ZOZNAM!N965),\"\")","v":"nie"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!O965=\"\",\"\",ZOZNAM!O965),\"\")","v":"áno"},{"$f":"IF($A974<>\"\",IF(ZOZNAM!P965=\"\",\"\",ZOZNAM!P965),\"\")","v":""},{"$f":"IF($A974<>\"\",IF(ZOZNAM!Q965=\"\",\"\",ZOZNAM!Q965),\"\")","v":""},{"$f":"IF($A974<>\"\",IF(ZOZNAM!R965=\"\",\"\",ZOZNAM!R965),\"\")","v":""},{"$f":"IF($A974<>\"\",IF(ZOZNAM!S965=\"\",\"\",ZOZNAM!S965),\"\")","v":""},{"$f":"IF($A974<>\"\",IF(ZOZNAM!T965=\"\",\"\",ZOZNAM!T965),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C966)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C966)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C966)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C966)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C966)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C966)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L966)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L966)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L966)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L966)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L966)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L966)),FALSE))),ZOZNAM!G966>=$C$9),ZOZNAM!A966,\"\")","v":"TC012"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!B966=\"\",\"\",ZOZNAM!B966),\"\")","v":"Tayllorcox"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!C966=\"\",\"\",ZOZNAM!C966),\"\")","v":"Prince2 practitioner"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!D966=\"\",\"\",ZOZNAM!D966),\"\")","v":"Online/Praha, Česko"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!E966=\"\",\"\",ZOZNAM!E966),\"\")","v":2},{"$f":"IF($A975<>\"\",IF(ZOZNAM!F966=\"\",\"\",ZOZNAM!F966),\"\")","v":2},{"$f":"IF($A975<>\"\",IF(ZOZNAM!G966=\"\",\"\",ZOZNAM!G966),\"\")","v":"2021-07-08"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!H966=\"\",\"\",ZOZNAM!H966),\"\")","v":"2021-07-09"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!I966=\"\",\"\",ZOZNAM!I966),\"\")","v":"19 500 Kč + DPH"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!J966=\"\",\"\",ZOZNAM!J966),\"\")","v":""},{"$f":"IF($A975<>\"\",IF(ZOZNAM!K966=\"\",\"\",ZOZNAM!K966),\"\")","v":"https://www.tx.cz/prince2/prince2-practitioner"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!L966=\"\",\"\",ZOZNAM!L966),\"\")","v":"PRINCE2® Practitioner navazuje na znalosti, které jste získali v kurzu PRINCE2® Foundation a rozšiřuje je do praktické aplikace 7 Principů, Procesů metodiky. Zdokonalujte se a převezměte kontrolu nad projekty v celém životním cyklu. Jako Senior Project Manager dokážete předcházet potížím i řešit aktuální problémy. Řídit projektové týmy, upravovat metodiku na míru potřebám organizace, ale i projektu"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!M966=\"\",\"\",ZOZNAM!M966),\"\")","v":"Inštitúcia ponúka viacero termínov kurzu."},{"$f":"IF($A975<>\"\",IF(ZOZNAM!N966=\"\",\"\",ZOZNAM!N966),\"\")","v":"nie"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!O966=\"\",\"\",ZOZNAM!O966),\"\")","v":"áno"},{"$f":"IF($A975<>\"\",IF(ZOZNAM!P966=\"\",\"\",ZOZNAM!P966),\"\")","v":""},{"$f":"IF($A975<>\"\",IF(ZOZNAM!Q966=\"\",\"\",ZOZNAM!Q966),\"\")","v":""},{"$f":"IF($A975<>\"\",IF(ZOZNAM!R966=\"\",\"\",ZOZNAM!R966),\"\")","v":""},{"$f":"IF($A975<>\"\",IF(ZOZNAM!S966=\"\",\"\",ZOZNAM!S966),\"\")","v":""},{"$f":"IF($A975<>\"\",IF(ZOZNAM!T966=\"\",\"\",ZOZNAM!T966),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C969)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C969)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C969)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C969)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C969)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C969)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L969)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L969)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L969)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L969)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L969)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L969)),FALSE))),ZOZNAM!G969>=$C$9),ZOZNAM!A969,\"\")","v":"TI315"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!B969=\"\",\"\",ZOZNAM!B969),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!C969=\"\",\"\",ZOZNAM!C969),\"\")","v":"Instrumental Variables and Structural Equation Modelling using Stata"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!D969=\"\",\"\",ZOZNAM!D969),\"\")","v":"Online"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!E969=\"\",\"\",ZOZNAM!E969),\"\")","v":2},{"$f":"IF($A978<>\"\",IF(ZOZNAM!F969=\"\",\"\",ZOZNAM!F969),\"\")","v":2},{"$f":"IF($A978<>\"\",IF(ZOZNAM!G969=\"\",\"\",ZOZNAM!G969),\"\")","v":"2021-06-07"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!H969=\"\",\"\",ZOZNAM!H969),\"\")","v":"2021-06-08"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!I969=\"\",\"\",ZOZNAM!I969),\"\")","v":"450 GBP + DPH"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!J969=\"\",\"\",ZOZNAM!J969),\"\")","v":""},{"$f":"IF($A978<>\"\",IF(ZOZNAM!K969=\"\",\"\",ZOZNAM!K969),\"\")","v":"https://www.timberlake.co.uk/courses/instrumental-variables-structural-equation-modelling-stata-7june.html"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!L969=\"\",\"\",ZOZNAM!L969),\"\")","v":"This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity."},{"$f":"IF($A978<>\"\",IF(ZOZNAM!M969=\"\",\"\",ZOZNAM!M969),\"\")","v":"Prerequisites\nKnowledge of basic statistics: notion of regression model and related properties; point and interval estimation; maximum likelihood estimation.\nBasic knowledge of the Stata software."},{"$f":"IF($A978<>\"\",IF(ZOZNAM!N969=\"\",\"\",ZOZNAM!N969),\"\")","v":"nie"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!O969=\"\",\"\",ZOZNAM!O969),\"\")","v":"nie"},{"$f":"IF($A978<>\"\",IF(ZOZNAM!P969=\"\",\"\",ZOZNAM!P969),\"\")","v":2},{"$f":"IF($A978<>\"\",IF(ZOZNAM!Q969=\"\",\"\",ZOZNAM!Q969),\"\")","v":""},{"$f":"IF($A978<>\"\",IF(ZOZNAM!R969=\"\",\"\",ZOZNAM!R969),\"\")","v":""},{"$f":"IF($A978<>\"\",IF(ZOZNAM!S969=\"\",\"\",ZOZNAM!S969),\"\")","v":""},{"$f":"IF($A978<>\"\",IF(ZOZNAM!T969=\"\",\"\",ZOZNAM!T969),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C970)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C970)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C970)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C970)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C970)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C970)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L970)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L970)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L970)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L970)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L970)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L970)),FALSE))),ZOZNAM!G970>=$C$9),ZOZNAM!A970,\"\")","v":"TI316"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!B970=\"\",\"\",ZOZNAM!B970),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!C970=\"\",\"\",ZOZNAM!C970),\"\")","v":"2021 Stata Summer School"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!D970=\"\",\"\",ZOZNAM!D970),\"\")","v":"Online"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!E970=\"\",\"\",ZOZNAM!E970),\"\")","v":5},{"$f":"IF($A979<>\"\",IF(ZOZNAM!F970=\"\",\"\",ZOZNAM!F970),\"\")","v":6},{"$f":"IF($A979<>\"\",IF(ZOZNAM!G970=\"\",\"\",ZOZNAM!G970),\"\")","v":"2021-06-14"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!H970=\"\",\"\",ZOZNAM!H970),\"\")","v":"2021-06-19"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!I970=\"\",\"\",ZOZNAM!I970),\"\")","v":"2 110 GPB + DPH"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!J970=\"\",\"\",ZOZNAM!J970),\"\")","v":""},{"$f":"IF($A979<>\"\",IF(ZOZNAM!K970=\"\",\"\",ZOZNAM!K970),\"\")","v":"https://www.timberlake.co.uk/courses/stata-sumer-school-2021.html"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!L970=\"\",\"\",ZOZNAM!L970),\"\")","v":"Our Stata Summer school provides a very popular and flexible course framework allowing cost-effective attendance at any course separately, or the entire school. This is a great opportunity for students, academics and professionals to expand their econometrics skills and learn how they can apply econometrics and statistics from professionals pioneering research at the forefront of their specialist fields."},{"$f":"IF($A979<>\"\",IF(ZOZNAM!M970=\"\",\"\",ZOZNAM!M970),\"\")","v":"Inštitúcia ponúka aj možnosť výberu kurzu/kurzov. Nie je potrebná účasť na celej Summer School."},{"$f":"IF($A979<>\"\",IF(ZOZNAM!N970=\"\",\"\",ZOZNAM!N970),\"\")","v":"nie"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!O970=\"\",\"\",ZOZNAM!O970),\"\")","v":"nie"},{"$f":"IF($A979<>\"\",IF(ZOZNAM!P970=\"\",\"\",ZOZNAM!P970),\"\")","v":2},{"$f":"IF($A979<>\"\",IF(ZOZNAM!Q970=\"\",\"\",ZOZNAM!Q970),\"\")","v":""},{"$f":"IF($A979<>\"\",IF(ZOZNAM!R970=\"\",\"\",ZOZNAM!R970),\"\")","v":""},{"$f":"IF($A979<>\"\",IF(ZOZNAM!S970=\"\",\"\",ZOZNAM!S970),\"\")","v":""},{"$f":"IF($A979<>\"\",IF(ZOZNAM!T970=\"\",\"\",ZOZNAM!T970),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C971)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C971)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C971)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C971)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C971)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C971)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L971)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L971)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L971)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L971)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L971)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L971)),FALSE))),ZOZNAM!G971>=$C$9),ZOZNAM!A971,\"\")","v":"TI317"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!B971=\"\",\"\",ZOZNAM!B971),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!C971=\"\",\"\",ZOZNAM!C971),\"\")","v":"Data Science for Financial Markets - Co-Developed with Lancaster Universit"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!D971=\"\",\"\",ZOZNAM!D971),\"\")","v":"Online"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!E971=\"\",\"\",ZOZNAM!E971),\"\")","v":1},{"$f":"IF($A980<>\"\",IF(ZOZNAM!F971=\"\",\"\",ZOZNAM!F971),\"\")","v":2},{"$f":"IF($A980<>\"\",IF(ZOZNAM!G971=\"\",\"\",ZOZNAM!G971),\"\")","v":"2021-06-18"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!H971=\"\",\"\",ZOZNAM!H971),\"\")","v":"2021-06-19"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!I971=\"\",\"\",ZOZNAM!I971),\"\")","v":"450 GBP + DPH"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!J971=\"\",\"\",ZOZNAM!J971),\"\")","v":""},{"$f":"IF($A980<>\"\",IF(ZOZNAM!K971=\"\",\"\",ZOZNAM!K971),\"\")","v":"https://www.timberlake.co.uk/courses/data-science-for-financial-markets-mar-21.html"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!L971=\"\",\"\",ZOZNAM!L971),\"\")","v":"At times of great uncertainty for financial markets, this course provides participants with an understanding of the time series methods involved in modelling and forecasting financial markets volatilities. Participants will learn how to build, estimate and assess alternative models of volatility of financial time series. Each concepts will be explained from an econometric perspective and by means of many examples and applications in EViews.\n\nCo movements and correlation of financial returns help to explain crisis transmission in the markets , this course provides participants with an in depth understanding of multivariate GARCH models and their use in forecasting co movements and crisis transmission between financial markets."},{"$f":"IF($A980<>\"\",IF(ZOZNAM!M971=\"\",\"\",ZOZNAM!M971),\"\")","v":"Prerequisites\nIntroductory knowledge of linear regression and time series econometrics.\nA basic knowledge of EViews is helpful but not necessary."},{"$f":"IF($A980<>\"\",IF(ZOZNAM!N971=\"\",\"\",ZOZNAM!N971),\"\")","v":"nie"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!O971=\"\",\"\",ZOZNAM!O971),\"\")","v":"nie"},{"$f":"IF($A980<>\"\",IF(ZOZNAM!P971=\"\",\"\",ZOZNAM!P971),\"\")","v":2},{"$f":"IF($A980<>\"\",IF(ZOZNAM!Q971=\"\",\"\",ZOZNAM!Q971),\"\")","v":""},{"$f":"IF($A980<>\"\",IF(ZOZNAM!R971=\"\",\"\",ZOZNAM!R971),\"\")","v":""},{"$f":"IF($A980<>\"\",IF(ZOZNAM!S971=\"\",\"\",ZOZNAM!S971),\"\")","v":""},{"$f":"IF($A980<>\"\",IF(ZOZNAM!T971=\"\",\"\",ZOZNAM!T971),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C972)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C972)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C972)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C972)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C972)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C972)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L972)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L972)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L972)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L972)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L972)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L972)),FALSE))),ZOZNAM!G972>=$C$9),ZOZNAM!A972,\"\")","v":"TI318"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!B972=\"\",\"\",ZOZNAM!B972),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!C972=\"\",\"\",ZOZNAM!C972),\"\")","v":"Macroeconomic Density Forecasting & Nowcasting"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!D972=\"\",\"\",ZOZNAM!D972),\"\")","v":"Online"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!E972=\"\",\"\",ZOZNAM!E972),\"\")","v":2},{"$f":"IF($A981<>\"\",IF(ZOZNAM!F972=\"\",\"\",ZOZNAM!F972),\"\")","v":2},{"$f":"IF($A981<>\"\",IF(ZOZNAM!G972=\"\",\"\",ZOZNAM!G972),\"\")","v":"2021-06-21"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!H972=\"\",\"\",ZOZNAM!H972),\"\")","v":"2021-06-22"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!I972=\"\",\"\",ZOZNAM!I972),\"\")","v":"450 GBP + DPH"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!J972=\"\",\"\",ZOZNAM!J972),\"\")","v":""},{"$f":"IF($A981<>\"\",IF(ZOZNAM!K972=\"\",\"\",ZOZNAM!K972),\"\")","v":"https://www.timberlake.co.uk/courses/macroeconomic-density-forecasting-nowcasting-jun21.html"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!L972=\"\",\"\",ZOZNAM!L972),\"\")","v":"Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques.\n\nThe focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential."},{"$f":"IF($A981<>\"\",IF(ZOZNAM!M972=\"\",\"\",ZOZNAM!M972),\"\")","v":"Prerequisites\nThe course assumes that attendees:\n\nHave an intermediate to advanced level University training (or equivalent) in econometrics.\nHave an intermediate level University training (or equivalent) in macroeconomics and/or finance.\nHave experience in forecasting.\nHave a working knowledge of EViews software."},{"$f":"IF($A981<>\"\",IF(ZOZNAM!N972=\"\",\"\",ZOZNAM!N972),\"\")","v":"nie"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!O972=\"\",\"\",ZOZNAM!O972),\"\")","v":"nie"},{"$f":"IF($A981<>\"\",IF(ZOZNAM!P972=\"\",\"\",ZOZNAM!P972),\"\")","v":2},{"$f":"IF($A981<>\"\",IF(ZOZNAM!Q972=\"\",\"\",ZOZNAM!Q972),\"\")","v":""},{"$f":"IF($A981<>\"\",IF(ZOZNAM!R972=\"\",\"\",ZOZNAM!R972),\"\")","v":""},{"$f":"IF($A981<>\"\",IF(ZOZNAM!S972=\"\",\"\",ZOZNAM!S972),\"\")","v":""},{"$f":"IF($A981<>\"\",IF(ZOZNAM!T972=\"\",\"\",ZOZNAM!T972),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C973)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C973)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C973)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C973)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C973)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C973)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L973)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L973)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L973)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L973)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L973)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L973)),FALSE))),ZOZNAM!G973>=$C$9),ZOZNAM!A973,\"\")","v":"TI319"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!B973=\"\",\"\",ZOZNAM!B973),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!C973=\"\",\"\",ZOZNAM!C973),\"\")","v":"Economic Modelling and Forecasting using Eviews"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!D973=\"\",\"\",ZOZNAM!D973),\"\")","v":"Online"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!E973=\"\",\"\",ZOZNAM!E973),\"\")","v":6},{"$f":"IF($A982<>\"\",IF(ZOZNAM!F973=\"\",\"\",ZOZNAM!F973),\"\")","v":8},{"$f":"IF($A982<>\"\",IF(ZOZNAM!G973=\"\",\"\",ZOZNAM!G973),\"\")","v":"2021-07-12"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!H973=\"\",\"\",ZOZNAM!H973),\"\")","v":"2021-07-19"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!I973=\"\",\"\",ZOZNAM!I973),\"\")","v":"2 255 GBP + DPH"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!J973=\"\",\"\",ZOZNAM!J973),\"\")","v":""},{"$f":"IF($A982<>\"\",IF(ZOZNAM!K973=\"\",\"\",ZOZNAM!K973),\"\")","v":"https://www.timberlake.co.uk/courses/eviews-summer-school-2021.html#overview"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!L973=\"\",\"\",ZOZNAM!L973),\"\")","v":"The 2021 EViews Summer School comprises a series of seven 1-day courses running consecutively, with theory and practical applications. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 12 software. This edition features many new econometric methodologies which have been introduced in EViews 12. Specifically: long memory dependence in time series models (ARFIMA and FIGARCH and FIEGARCH), second generation panel unit roots tests, machine learning methods for model selection….\n\nThe summer school will run for 7 consecutive days, four hours per day, in two sessions per day: morning 10am-12pm and afternoon 2pm-4pm. The morning sessions will discuss theory and the afternoon sessions will offer many practical applications in EViews"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!M973=\"\",\"\",ZOZNAM!M973),\"\")","v":"Inštitúcia ponúka aj možnosť výberu kurzu/kurzov.\nPrerequisites\nKnowledge of basic econometrics (OLS estimation, mis-specification analysis) is desirable, although not required.\nNo pre-reading is needed; references for post-course reading will be provided during the course itself.\n\nNo previous knowledge of EViews is required."},{"$f":"IF($A982<>\"\",IF(ZOZNAM!N973=\"\",\"\",ZOZNAM!N973),\"\")","v":"nie"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!O973=\"\",\"\",ZOZNAM!O973),\"\")","v":"nie"},{"$f":"IF($A982<>\"\",IF(ZOZNAM!P973=\"\",\"\",ZOZNAM!P973),\"\")","v":2},{"$f":"IF($A982<>\"\",IF(ZOZNAM!Q973=\"\",\"\",ZOZNAM!Q973),\"\")","v":""},{"$f":"IF($A982<>\"\",IF(ZOZNAM!R973=\"\",\"\",ZOZNAM!R973),\"\")","v":""},{"$f":"IF($A982<>\"\",IF(ZOZNAM!S973=\"\",\"\",ZOZNAM!S973),\"\")","v":""},{"$f":"IF($A982<>\"\",IF(ZOZNAM!T973=\"\",\"\",ZOZNAM!T973),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C974)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C974)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C974)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C974)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C974)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C974)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L974)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L974)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L974)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L974)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L974)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L974)),FALSE))),ZOZNAM!G974>=$C$9),ZOZNAM!A974,\"\")","v":"TI320"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!B974=\"\",\"\",ZOZNAM!B974),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!C974=\"\",\"\",ZOZNAM!C974),\"\")","v":"Causal Inference using Stata"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!D974=\"\",\"\",ZOZNAM!D974),\"\")","v":"Online"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!E974=\"\",\"\",ZOZNAM!E974),\"\")","v":1},{"$f":"IF($A983<>\"\",IF(ZOZNAM!F974=\"\",\"\",ZOZNAM!F974),\"\")","v":1},{"$f":"IF($A983<>\"\",IF(ZOZNAM!G974=\"\",\"\",ZOZNAM!G974),\"\")","v":"2021-08-09"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!H974=\"\",\"\",ZOZNAM!H974),\"\")","v":"2021-08-09"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!I974=\"\",\"\",ZOZNAM!I974),\"\")","v":"235 GBP + DPH"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!J974=\"\",\"\",ZOZNAM!J974),\"\")","v":""},{"$f":"IF($A983<>\"\",IF(ZOZNAM!K974=\"\",\"\",ZOZNAM!K974),\"\")","v":"https://www.timberlake.co.uk/courses/causal-inference-stata-aug21.html"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!L974=\"\",\"\",ZOZNAM!L974),\"\")","v":"This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata.\nThe course assumes limited statistical knowledge and only some experience of using statistical software. The participants will be introduced to Stata and causal inference using practical examples.\nThe fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques. Then, the participants will be introduced to the main data analysis tools related to regression, including linear and logistic regression, local polynomial regression, and related machine learning approaches.\nParticipants will apply these methods to specially chosen datasets using data from economics and medical research. Participants will learn about quasi-experimental methods (via simulation of bias and variance properties, and hands-on examples) for propensity score matching and reweighting, panel methods including difference-in-difference designs, instrumental variables, and regression discontinuity."},{"$f":"IF($A983<>\"\",IF(ZOZNAM!M974=\"\",\"\",ZOZNAM!M974),\"\")","v":"Prerequisites\nIt would be helpful but not necessary to already have some basic knowledge of opening a dataset in Stata, running simple commands, editing a do file in a text editor. We will assume some prior knowledge of statistics, including experience conducting a hypothesis test, but no prior training is required."},{"$f":"IF($A983<>\"\",IF(ZOZNAM!N974=\"\",\"\",ZOZNAM!N974),\"\")","v":"nie"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!O974=\"\",\"\",ZOZNAM!O974),\"\")","v":"nie"},{"$f":"IF($A983<>\"\",IF(ZOZNAM!P974=\"\",\"\",ZOZNAM!P974),\"\")","v":2},{"$f":"IF($A983<>\"\",IF(ZOZNAM!Q974=\"\",\"\",ZOZNAM!Q974),\"\")","v":""},{"$f":"IF($A983<>\"\",IF(ZOZNAM!R974=\"\",\"\",ZOZNAM!R974),\"\")","v":""},{"$f":"IF($A983<>\"\",IF(ZOZNAM!S974=\"\",\"\",ZOZNAM!S974),\"\")","v":""},{"$f":"IF($A983<>\"\",IF(ZOZNAM!T974=\"\",\"\",ZOZNAM!T974),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C975)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C975)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C975)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C975)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C975)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C975)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L975)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L975)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L975)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L975)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L975)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L975)),FALSE))),ZOZNAM!G975>=$C$9),ZOZNAM!A975,\"\")","v":"TI321"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!B975=\"\",\"\",ZOZNAM!B975),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!C975=\"\",\"\",ZOZNAM!C975),\"\")","v":"Introduction to Linear Mixed Models using Stata"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!D975=\"\",\"\",ZOZNAM!D975),\"\")","v":"Online"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!E975=\"\",\"\",ZOZNAM!E975),\"\")","v":2},{"$f":"IF($A984<>\"\",IF(ZOZNAM!F975=\"\",\"\",ZOZNAM!F975),\"\")","v":2},{"$f":"IF($A984<>\"\",IF(ZOZNAM!G975=\"\",\"\",ZOZNAM!G975),\"\")","v":"2021-09-23"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!H975=\"\",\"\",ZOZNAM!H975),\"\")","v":"2021-09-24"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!I975=\"\",\"\",ZOZNAM!I975),\"\")","v":"360 GBP + DPH"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!J975=\"\",\"\",ZOZNAM!J975),\"\")","v":""},{"$f":"IF($A984<>\"\",IF(ZOZNAM!K975=\"\",\"\",ZOZNAM!K975),\"\")","v":"https://www.timberlake.co.uk/courses/introduction-linear-mixed-models-stata.html"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!L975=\"\",\"\",ZOZNAM!L975),\"\")","v":"Mixed models are a modern powerful data analysis tool to analyse clustered data, typically arising in studies where the levels of a factor are a random selection from a wider pool, or in the presence of a multi-level nested structure with different levels of variability.\nPotential benefits of mixed models are greater generalisability of results and accommodation of missing values. In particular, mixed models have been used in clinical trials to analyse repeated measures, where measurements taken over time naturally cluster according to patient.\nThe course will illustrate medical and health related applications of mixed modelling, such as multi-centre trials, cross-over trials, and the analysis of repeated measures. The course focuses on the linear mixed model, assuming normally distributed data, and on how to fit it and interpret its results.\nOnly essential theoretical aspects of mixed models will be summarised."},{"$f":"IF($A984<>\"\",IF(ZOZNAM!M975=\"\",\"\",ZOZNAM!M975),\"\")","v":"It is assumed that delegates are Stata users and are familiar with the practical use of linear models, covering both regression and ANOVA models."},{"$f":"IF($A984<>\"\",IF(ZOZNAM!N975=\"\",\"\",ZOZNAM!N975),\"\")","v":"nie"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!O975=\"\",\"\",ZOZNAM!O975),\"\")","v":"nie"},{"$f":"IF($A984<>\"\",IF(ZOZNAM!P975=\"\",\"\",ZOZNAM!P975),\"\")","v":2},{"$f":"IF($A984<>\"\",IF(ZOZNAM!Q975=\"\",\"\",ZOZNAM!Q975),\"\")","v":""},{"$f":"IF($A984<>\"\",IF(ZOZNAM!R975=\"\",\"\",ZOZNAM!R975),\"\")","v":""},{"$f":"IF($A984<>\"\",IF(ZOZNAM!S975=\"\",\"\",ZOZNAM!S975),\"\")","v":""},{"$f":"IF($A984<>\"\",IF(ZOZNAM!T975=\"\",\"\",ZOZNAM!T975),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C976)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C976)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C976)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C976)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C976)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C976)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L976)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L976)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L976)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L976)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L976)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L976)),FALSE))),ZOZNAM!G976>=$C$9),ZOZNAM!A976,\"\")","v":"TI322"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!B976=\"\",\"\",ZOZNAM!B976),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!C976=\"\",\"\",ZOZNAM!C976),\"\")","v":"Introduction to Generalised Linear Mixed Models using Stata"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!D976=\"\",\"\",ZOZNAM!D976),\"\")","v":"Online"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!E976=\"\",\"\",ZOZNAM!E976),\"\")","v":2},{"$f":"IF($A985<>\"\",IF(ZOZNAM!F976=\"\",\"\",ZOZNAM!F976),\"\")","v":2},{"$f":"IF($A985<>\"\",IF(ZOZNAM!G976=\"\",\"\",ZOZNAM!G976),\"\")","v":"2021-09-27"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!H976=\"\",\"\",ZOZNAM!H976),\"\")","v":"2021-09-28"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!I976=\"\",\"\",ZOZNAM!I976),\"\")","v":"450 GBP + DPH"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!J976=\"\",\"\",ZOZNAM!J976),\"\")","v":""},{"$f":"IF($A985<>\"\",IF(ZOZNAM!K976=\"\",\"\",ZOZNAM!K976),\"\")","v":"https://www.timberlake.co.uk/courses/generalised-mixed-models-using-stata-sep27.html"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!L976=\"\",\"\",ZOZNAM!L976),\"\")","v":"Mixed models have become increasingly popular, as they have many practical applications. However, the traditional linear mixed model with normally distributed errors may not always be appropriate for modelling discrete response variables, such as binary data and counts. Typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression.\nCommonly-used generalised linear models will be extended to deal with multiple error structures, using a variety of examples, generally drawn from medical and health related fields. Specific applications, such as repeated measurements and multi-centre trials will also be considered. For example, investigating the presence or absence of adverse events collected in a multi-centre clinical trial.\nThe emphasis will be on practical understanding, although an outline of the theory will be presented. Practical examples will be used to illustrate the methods, and participants will have the opportunity to fit and interpret models themselves in hands-on computer based practicals.\nNote this course does not cover marginal or GEE type models, but will consider population-averaged effect measures derived from a generalised linear mixed model."},{"$f":"IF($A985<>\"\",IF(ZOZNAM!M976=\"\",\"\",ZOZNAM!M976),\"\")","v":"It is assumed that delegates:\nAre Stata users;\nAre familiar with the practical use of both linear mixed models and generalised linear models;\nHave experience of fitting these models in Stata and interpreting the results."},{"$f":"IF($A985<>\"\",IF(ZOZNAM!N976=\"\",\"\",ZOZNAM!N976),\"\")","v":"nie"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!O976=\"\",\"\",ZOZNAM!O976),\"\")","v":"nie"},{"$f":"IF($A985<>\"\",IF(ZOZNAM!P976=\"\",\"\",ZOZNAM!P976),\"\")","v":2},{"$f":"IF($A985<>\"\",IF(ZOZNAM!Q976=\"\",\"\",ZOZNAM!Q976),\"\")","v":""},{"$f":"IF($A985<>\"\",IF(ZOZNAM!R976=\"\",\"\",ZOZNAM!R976),\"\")","v":""},{"$f":"IF($A985<>\"\",IF(ZOZNAM!S976=\"\",\"\",ZOZNAM!S976),\"\")","v":""},{"$f":"IF($A985<>\"\",IF(ZOZNAM!T976=\"\",\"\",ZOZNAM!T976),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C977)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C977)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C977)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C977)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C977)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C977)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L977)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L977)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L977)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L977)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L977)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L977)),FALSE))),ZOZNAM!G977>=$C$9),ZOZNAM!A977,\"\")","v":"TS021"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!B977=\"\",\"\",ZOZNAM!B977),\"\")","v":"Tstat"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!C977=\"\",\"\",ZOZNAM!C977),\"\")","v":"NON-LINEAR PANEL DATA MODELS IN STATA"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!D977=\"\",\"\",ZOZNAM!D977),\"\")","v":"Online"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!E977=\"\",\"\",ZOZNAM!E977),\"\")","v":2},{"$f":"IF($A986<>\"\",IF(ZOZNAM!F977=\"\",\"\",ZOZNAM!F977),\"\")","v":2},{"$f":"IF($A986<>\"\",IF(ZOZNAM!G977=\"\",\"\",ZOZNAM!G977),\"\")","v":"2021-07-12"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!H977=\"\",\"\",ZOZNAM!H977),\"\")","v":"2021-07-13"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!I977=\"\",\"\",ZOZNAM!I977),\"\")","v":"675 EUR + DPH"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!J977=\"\",\"\",ZOZNAM!J977),\"\")","v":"2021-07-02"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!K977=\"\",\"\",ZOZNAM!K977),\"\")","v":"https://www.tstattraining.eu/training/nonlinear-panel-data-models-stata-ol/"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!L977=\"\",\"\",ZOZNAM!L977),\"\")","v":"This course follows on from our Linear Panel Data Models in Stata course to offer the necessary theoretical background and the applied skills to enable participants to: i) independently employ non-linear micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. The focus is therefore on non-linear estimation techniques (more specifically Poisson, Probit, Logit and Tobit panel data models) and issues of sample selection and attrition."},{"$f":"IF($A986<>\"\",IF(ZOZNAM!M977=\"\",\"\",ZOZNAM!M977),\"\")","v":"Participants are required to have a good working knowledge of the OLS regression model, the topics featured in our Linear Panel Data Model in Stata course and the statistical software Stata. Knowledge at the arguments illustrated in TStat’s course Analysis Micro Data in Stata will also prove to be a advantage."},{"$f":"IF($A986<>\"\",IF(ZOZNAM!N977=\"\",\"\",ZOZNAM!N977),\"\")","v":"nie"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!O977=\"\",\"\",ZOZNAM!O977),\"\")","v":"nie"},{"$f":"IF($A986<>\"\",IF(ZOZNAM!P977=\"\",\"\",ZOZNAM!P977),\"\")","v":""},{"$f":"IF($A986<>\"\",IF(ZOZNAM!Q977=\"\",\"\",ZOZNAM!Q977),\"\")","v":""},{"$f":"IF($A986<>\"\",IF(ZOZNAM!R977=\"\",\"\",ZOZNAM!R977),\"\")","v":""},{"$f":"IF($A986<>\"\",IF(ZOZNAM!S977=\"\",\"\",ZOZNAM!S977),\"\")","v":""},{"$f":"IF($A986<>\"\",IF(ZOZNAM!T977=\"\",\"\",ZOZNAM!T977),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C978)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C978)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C978)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C978)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C978)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C978)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L978)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L978)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L978)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L978)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L978)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L978)),FALSE))),ZOZNAM!G978>=$C$9),ZOZNAM!A978,\"\")","v":"TS022"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!B978=\"\",\"\",ZOZNAM!B978),\"\")","v":"Tstat"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!C978=\"\",\"\",ZOZNAM!C978),\"\")","v":"FACTOR MODELS & RISK MANAGEMENT TOOLS"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!D978=\"\",\"\",ZOZNAM!D978),\"\")","v":"Online"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!E978=\"\",\"\",ZOZNAM!E978),\"\")","v":2},{"$f":"IF($A987<>\"\",IF(ZOZNAM!F978=\"\",\"\",ZOZNAM!F978),\"\")","v":2},{"$f":"IF($A987<>\"\",IF(ZOZNAM!G978=\"\",\"\",ZOZNAM!G978),\"\")","v":"2021-06-14"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!H978=\"\",\"\",ZOZNAM!H978),\"\")","v":"2021-06-15"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!I978=\"\",\"\",ZOZNAM!I978),\"\")","v":"675 EUR + DPH"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!J978=\"\",\"\",ZOZNAM!J978),\"\")","v":"2021-06-04"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!K978=\"\",\"\",ZOZNAM!K978),\"\")","v":"https://www.tstattraining.eu/training/factor-models-risk-management-tools-ol/"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!L978=\"\",\"\",ZOZNAM!L978),\"\")","v":"The growth in financial instruments during the last decade has resulted in a significant development of econometric methods (financial econometrics) applied to financial data. The objective of our Factor Models & Risk Management Tools course is to provide participants with a comprehensive overview of the principal methodologies, both theoretical and applied, adopted for risk analysis and risk management. To this end, the course focuses on the implementation of both factor models and principal components analysis for the identification of specific asset, country and global risk factors and on risk management tools/measures."},{"$f":"IF($A987<>\"\",IF(ZOZNAM!M978=\"\",\"\",ZOZNAM!M978),\"\")","v":"Participants should have a knowledge of the inferential statistics and introductory econometric methods illustrated in Brooks (2019)."},{"$f":"IF($A987<>\"\",IF(ZOZNAM!N978=\"\",\"\",ZOZNAM!N978),\"\")","v":"nie"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!O978=\"\",\"\",ZOZNAM!O978),\"\")","v":"nie"},{"$f":"IF($A987<>\"\",IF(ZOZNAM!P978=\"\",\"\",ZOZNAM!P978),\"\")","v":""},{"$f":"IF($A987<>\"\",IF(ZOZNAM!Q978=\"\",\"\",ZOZNAM!Q978),\"\")","v":""},{"$f":"IF($A987<>\"\",IF(ZOZNAM!R978=\"\",\"\",ZOZNAM!R978),\"\")","v":""},{"$f":"IF($A987<>\"\",IF(ZOZNAM!S978=\"\",\"\",ZOZNAM!S978),\"\")","v":""},{"$f":"IF($A987<>\"\",IF(ZOZNAM!T978=\"\",\"\",ZOZNAM!T978),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C979)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C979)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C979)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C979)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C979)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C979)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L979)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L979)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L979)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L979)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L979)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L979)),FALSE))),ZOZNAM!G979>=$C$9),ZOZNAM!A979,\"\")","v":"TS023"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!B979=\"\",\"\",ZOZNAM!B979),\"\")","v":"Tstat"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!C979=\"\",\"\",ZOZNAM!C979),\"\")","v":"SUMMER SCHOOL | MODELLING AND FORECASTING ENERGY MARKETS"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!D979=\"\",\"\",ZOZNAM!D979),\"\")","v":"Online/Florencia, Taliansko"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!E979=\"\",\"\",ZOZNAM!E979),\"\")","v":5},{"$f":"IF($A988<>\"\",IF(ZOZNAM!F979=\"\",\"\",ZOZNAM!F979),\"\")","v":5},{"$f":"IF($A988<>\"\",IF(ZOZNAM!G979=\"\",\"\",ZOZNAM!G979),\"\")","v":"2021-08-30"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!H979=\"\",\"\",ZOZNAM!H979),\"\")","v":"2021-09-03"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!I979=\"\",\"\",ZOZNAM!I979),\"\")","v":"3 250 EUR + DPH"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!J979=\"\",\"\",ZOZNAM!J979),\"\")","v":"2021-08-10"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!K979=\"\",\"\",ZOZNAM!K979),\"\")","v":"https://www.tstattraining.eu/training/modelling-energy-markets/"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!L979=\"\",\"\",ZOZNAM!L979),\"\")","v":"In the last two decades, energy markets operators have witnessed major structural changes that have had a profund impact on how prices are determined on the market. Events like market liberalization, adoption of energy efficiency regulation, increased production from renewable energy sources, and climate change have contributed in making the demand and supply less predictable and the prices more volatile. The accurate modelling and forecasting of energy demand and prices has become of utmost importance, not only to energy producers themselves, but also to commodity traders and financial analysts focusing on the energy sector. The statistical features of energy data, which tends to follow periodic patterns and exhibit spikes, non-constant means and non-constant variances, renders the task of forecasting and modelling of energy data somewhat challenging.\n\nThe objective of TStat’s “Modelling and Forecasting Energy Markets” Summer School is therefore to provide participants with the specific analytical tools to undertake a rigorous and in-depth analysis of both demand and prices in international energy markets"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!M979=\"\",\"\",ZOZNAM!M979),\"\")","v":"It is required knowledge of intermediate statistics and econometrics, for example at the level of Wooldridge, J.M. (2019) and/or Brooks, C. (2019).\nIn particular, participants must be familiar with linear regression analysis, inference, regression misspecification issues and time series concepts of autocorrelation, stationarity and volatility.\nDuring the Summer School, participants will be introduced to the econometric/statistical software Stata. Attendees do not however, require any previous knowledge of the software."},{"$f":"IF($A988<>\"\",IF(ZOZNAM!N979=\"\",\"\",ZOZNAM!N979),\"\")","v":"áno"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!O979=\"\",\"\",ZOZNAM!O979),\"\")","v":"nie"},{"$f":"IF($A988<>\"\",IF(ZOZNAM!P979=\"\",\"\",ZOZNAM!P979),\"\")","v":""},{"$f":"IF($A988<>\"\",IF(ZOZNAM!Q979=\"\",\"\",ZOZNAM!Q979),\"\")","v":""},{"$f":"IF($A988<>\"\",IF(ZOZNAM!R979=\"\",\"\",ZOZNAM!R979),\"\")","v":""},{"$f":"IF($A988<>\"\",IF(ZOZNAM!S979=\"\",\"\",ZOZNAM!S979),\"\")","v":""},{"$f":"IF($A988<>\"\",IF(ZOZNAM!T979=\"\",\"\",ZOZNAM!T979),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1001)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1001)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1001)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1001)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1001)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1001)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1001)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1001)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1001)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1001)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1001)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1001)),FALSE))),ZOZNAM!G1001>=$C$9),ZOZNAM!A1001,\"\")","v":"BA236"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!B1001=\"\",\"\",ZOZNAM!B1001),\"\")","v":"Barcelona Graduate School of Economics"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!C1001=\"\",\"\",ZOZNAM!C1001),\"\")","v":"Dynamic Structural Models for Policy Evaluation "},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!D1001=\"\",\"\",ZOZNAM!D1001),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!E1001=\"\",\"\",ZOZNAM!E1001),\"\")","v":5},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!F1001=\"\",\"\",ZOZNAM!F1001),\"\")","v":5},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!G1001=\"\",\"\",ZOZNAM!G1001),\"\")","v":"2021-07-05"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!H1001=\"\",\"\",ZOZNAM!H1001),\"\")","v":"2021-07-09"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!I1001=\"\",\"\",ZOZNAM!I1001),\"\")","v":"1200 EUR"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!J1001=\"\",\"\",ZOZNAM!J1001),\"\")","v":"2021-06-15"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!K1001=\"\",\"\",ZOZNAM!K1001),\"\")","v":"https://www.barcelonagse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!L1001=\"\",\"\",ZOZNAM!L1001),\"\")","v":"This course deals with methods and applications of dynamic discrete choice structural models in Economics. The methods that we will discuss are often used by researchers with interests in Labor Economics, Industrial Organization, Quantitative Macro, Development Economics and many other fields in Applied Micro. The course focuses on the estimation of dynamic discrete choice structural models that allow for modelling the behavior of forward looking agents making discrete decisions. These models constitute a useful tool for policy evaluation and an interesting complement to reduced form approaches. In particular, they have the advantage of allowing for ex-ante policy evaluation, and of providing external validity for the inference, subject to the model assumptions. They also have the benefit of providing a close link between economic theory and empirics, and the possibility of making inference about the predictions of a model."},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!M1001=\"\",\"\",ZOZNAM!M1001),\"\")","v":"early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!N1001=\"\",\"\",ZOZNAM!N1001),\"\")","v":"nie"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!O1001=\"\",\"\",ZOZNAM!O1001),\"\")","v":"nie"},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!P1001=\"\",\"\",ZOZNAM!P1001),\"\")","v":1.99},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!Q1001=\"\",\"\",ZOZNAM!Q1001),\"\")","v":""},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!R1001=\"\",\"\",ZOZNAM!R1001),\"\")","v":""},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!S1001=\"\",\"\",ZOZNAM!S1001),\"\")","v":""},{"$f":"IF($A1010<>\"\",IF(ZOZNAM!T1001=\"\",\"\",ZOZNAM!T1001),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1024)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1024)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1024)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1024)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1024)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1024)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1024)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1024)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1024)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1024)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1024)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1024)),FALSE))),ZOZNAM!G1024>=$C$9),ZOZNAM!A1024,\"\")","v":"CU013"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!B1024=\"\",\"\",ZOZNAM!B1024),\"\")","v":"Cranfield University"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!C1024=\"\",\"\",ZOZNAM!C1024),\"\")","v":"GIS Fundamentals "},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!D1024=\"\",\"\",ZOZNAM!D1024),\"\")","v":"Online"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!E1024=\"\",\"\",ZOZNAM!E1024),\"\")","v":5},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!F1024=\"\",\"\",ZOZNAM!F1024),\"\")","v":5},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!G1024=\"\",\"\",ZOZNAM!G1024),\"\")","v":"2021-05-24"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!H1024=\"\",\"\",ZOZNAM!H1024),\"\")","v":"2021-05-28"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!I1024=\"\",\"\",ZOZNAM!I1024),\"\")","v":"1400£"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!J1024=\"\",\"\",ZOZNAM!J1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!K1024=\"\",\"\",ZOZNAM!K1024),\"\")","v":"https://www.cranfield.ac.uk/courses/short/online/gis-fundamentals-online-course"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!L1024=\"\",\"\",ZOZNAM!L1024),\"\")","v":"Geographic Information Systems (GIS) is an important technology for handling geographic data and has wide application for studies of the environment. This course provides the essentials for using a GIS to create map outputs and perform typical spatial analysis operations."},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!M1024=\"\",\"\",ZOZNAM!M1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!N1024=\"\",\"\",ZOZNAM!N1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!O1024=\"\",\"\",ZOZNAM!O1024),\"\")","v":"nie"},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!P1024=\"\",\"\",ZOZNAM!P1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!Q1024=\"\",\"\",ZOZNAM!Q1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!R1024=\"\",\"\",ZOZNAM!R1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!S1024=\"\",\"\",ZOZNAM!S1024),\"\")","v":""},{"$f":"IF($A1033<>\"\",IF(ZOZNAM!T1024=\"\",\"\",ZOZNAM!T1024),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1025)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1025)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1025)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1025)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1025)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1025)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1025)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1025)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1025)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1025)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1025)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1025)),FALSE))),ZOZNAM!G1025>=$C$9),ZOZNAM!A1025,\"\")","v":"EM038"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!B1025=\"\",\"\",ZOZNAM!B1025),\"\")","v":"EcoMod Network"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!C1025=\"\",\"\",ZOZNAM!C1025),\"\")","v":"EcoMod School of Economics and Data Science Prague 2021"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!D1025=\"\",\"\",ZOZNAM!D1025),\"\")","v":"Praha, Česko"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!E1025=\"\",\"\",ZOZNAM!E1025),\"\")","v":5},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!F1025=\"\",\"\",ZOZNAM!F1025),\"\")","v":5},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!G1025=\"\",\"\",ZOZNAM!G1025),\"\")","v":"2021-06-21"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!H1025=\"\",\"\",ZOZNAM!H1025),\"\")","v":"2021-06-25"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!I1025=\"\",\"\",ZOZNAM!I1025),\"\")","v":"3767 USD"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!J1025=\"\",\"\",ZOZNAM!J1025),\"\")","v":"2021-04-26"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!K1025=\"\",\"\",ZOZNAM!K1025),\"\")","v":"https://ecomod.net/modeling-school/ecomod-school-of-economics-and-data-science-prague-2021"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!L1025=\"\",\"\",ZOZNAM!L1025),\"\")","v":"The EcoMod School will offer many five-day intensive hands-on courses in Prague, Czech Republic. The training is fully practical and provides 'hands-on' experience through intensive use of exercises on the computer."},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!M1025=\"\",\"\",ZOZNAM!M1025),\"\")","v":"Early bird do 10.5.: 3267 USD\nZoznam a rozpis kurzov bude inštitúciou ešte len zverejnený"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!N1025=\"\",\"\",ZOZNAM!N1025),\"\")","v":"nie"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!O1025=\"\",\"\",ZOZNAM!O1025),\"\")","v":"nie"},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!P1025=\"\",\"\",ZOZNAM!P1025),\"\")","v":""},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!Q1025=\"\",\"\",ZOZNAM!Q1025),\"\")","v":""},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!R1025=\"\",\"\",ZOZNAM!R1025),\"\")","v":""},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!S1025=\"\",\"\",ZOZNAM!S1025),\"\")","v":""},{"$f":"IF($A1034<>\"\",IF(ZOZNAM!T1025=\"\",\"\",ZOZNAM!T1025),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1060)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1060)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1060)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1060)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1060)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1060)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1060)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1060)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1060)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1060)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1060)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1060)),FALSE))),ZOZNAM!G1060>=$C$9),ZOZNAM!A1060,\"\")","v":"UN287"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!B1060=\"\",\"\",ZOZNAM!B1060),\"\")","v":"University of Copenhagen"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!C1060=\"\",\"\",ZOZNAM!C1060),\"\")","v":"Summer school 2021: Macroeconomic Risk Management"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!D1060=\"\",\"\",ZOZNAM!D1060),\"\")","v":"Kodaň, Dánsko"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!E1060=\"\",\"\",ZOZNAM!E1060),\"\")","v":16},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!F1060=\"\",\"\",ZOZNAM!F1060),\"\")","v":23},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!G1060=\"\",\"\",ZOZNAM!G1060),\"\")","v":"2021-07-05"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!H1060=\"\",\"\",ZOZNAM!H1060),\"\")","v":"2021-07-27"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!I1060=\"\",\"\",ZOZNAM!I1060),\"\")","v":"2625 DKK"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!J1060=\"\",\"\",ZOZNAM!J1060),\"\")","v":"2021-06-01"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!K1060=\"\",\"\",ZOZNAM!K1060),\"\")","v":"https://kurser.ku.dk/course/a%c3%98ka08236u/2020-2021"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!L1060=\"\",\"\",ZOZNAM!L1060),\"\")","v":"Fortunately it is possible to carry most of this analysis with standard Finance tools. In this course we will integrate knowledge acquired in different areas (e.g. Corporate Finance, Financial Intermediation, Risk Management, and Behavioral Finance) to study the impact of macroeconomic risks.\n\n \n\nWe will start with an in depth analysis of the Great Recession that will show us how the financial system can amplify shocks. Then we will use Finance tools to study macroeconomic risk and their optimal and feasible management. We will then study two particular types of global risk: Of a global nuclear war, and global warming. Finally we will consider how fiscal and monetary policy smooth business cycles and how the social security system can redistribute intergenerational shocks, highlighting differences in how these risks can be managed in developed and developing countries."},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!M1060=\"\",\"\",ZOZNAM!M1060),\"\")","v":""},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!N1060=\"\",\"\",ZOZNAM!N1060),\"\")","v":""},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!O1060=\"\",\"\",ZOZNAM!O1060),\"\")","v":"áno"},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!P1060=\"\",\"\",ZOZNAM!P1060),\"\")","v":""},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!Q1060=\"\",\"\",ZOZNAM!Q1060),\"\")","v":""},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!R1060=\"\",\"\",ZOZNAM!R1060),\"\")","v":""},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!S1060=\"\",\"\",ZOZNAM!S1060),\"\")","v":""},{"$f":"IF($A1069<>\"\",IF(ZOZNAM!T1060=\"\",\"\",ZOZNAM!T1060),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1061)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1061)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1061)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1061)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1061)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1061)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1061)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1061)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1061)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1061)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1061)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1061)),FALSE))),ZOZNAM!G1061>=$C$9),ZOZNAM!A1061,\"\")","v":"LB004"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!B1061=\"\",\"\",ZOZNAM!B1061),\"\")","v":"London Business School"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!C1061=\"\",\"\",ZOZNAM!C1061),\"\")","v":"Valuation"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!D1061=\"\",\"\",ZOZNAM!D1061),\"\")","v":"Online/Londýn, Veľká Británia"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!E1061=\"\",\"\",ZOZNAM!E1061),\"\")","v":5},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!F1061=\"\",\"\",ZOZNAM!F1061),\"\")","v":5},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!G1061=\"\",\"\",ZOZNAM!G1061),\"\")","v":"2021-11-08"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!H1061=\"\",\"\",ZOZNAM!H1061),\"\")","v":"2021-11-12"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!I1061=\"\",\"\",ZOZNAM!I1061),\"\")","v":"7 700 GBP"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!J1061=\"\",\"\",ZOZNAM!J1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!K1061=\"\",\"\",ZOZNAM!K1061),\"\")","v":"https://www.london.edu/executive-education/finance/valuation"},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!L1061=\"\",\"\",ZOZNAM!L1061),\"\")","v":"Discover capital budgeting and appraisals, examine the workings of capital markets, and master the principles of capital structure.\nExplore a range of valuation tools and techniques, including how to apply cash flow analysis, cost of capital analysis, and risk analysis.\nUnderstand intricacies of illiquidity and optimal financing, including key issues like governance, cross-border transactions and leverage.\nPerform valuations on private companies like Google and Nike, using real-world cases. Learn how to put a value on any firm in a global context."},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!M1061=\"\",\"\",ZOZNAM!M1061),\"\")","v":"Odporúča sa prihlásenie 3 mesiace pred kurzom. V prípade potreby vie inštitúcia rezervovať miesto po dobu 2 týždňov."},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!N1061=\"\",\"\",ZOZNAM!N1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!O1061=\"\",\"\",ZOZNAM!O1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!P1061=\"\",\"\",ZOZNAM!P1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!Q1061=\"\",\"\",ZOZNAM!Q1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!R1061=\"\",\"\",ZOZNAM!R1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!S1061=\"\",\"\",ZOZNAM!S1061),\"\")","v":""},{"$f":"IF($A1070<>\"\",IF(ZOZNAM!T1061=\"\",\"\",ZOZNAM!T1061),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1069)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1069)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1069)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1069)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1069)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1069)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1069)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1069)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1069)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1069)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1069)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1069)),FALSE))),ZOZNAM!G1069>=$C$9),ZOZNAM!A1069,\"\")","v":"UT333"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!B1069=\"\",\"\",ZOZNAM!B1069),\"\")","v":"Utrecht University"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!C1069=\"\",\"\",ZOZNAM!C1069),\"\")","v":"A Gentle Introduction to Bayesian Statistics"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!D1069=\"\",\"\",ZOZNAM!D1069),\"\")","v":"Online"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!E1069=\"\",\"\",ZOZNAM!E1069),\"\")","v":5},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!F1069=\"\",\"\",ZOZNAM!F1069),\"\")","v":5},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!G1069=\"\",\"\",ZOZNAM!G1069),\"\")","v":"2021-08-23"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!H1069=\"\",\"\",ZOZNAM!H1069),\"\")","v":"2021-08-27"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!I1069=\"\",\"\",ZOZNAM!I1069),\"\")","v":"620 EUR"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!J1069=\"\",\"\",ZOZNAM!J1069),\"\")","v":"2021-08-09"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!K1069=\"\",\"\",ZOZNAM!K1069),\"\")","v":"https://utrechtsummerschool.nl/courses/social-sciences/a-gentle-introduction-to-bayesian-statistics"},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!L1069=\"\",\"\",ZOZNAM!L1069),\"\")","v":"This course describes the stages involved in Bayesian analysis: specifying the prior and data models, deriving inference, model checking and refinement. We discuss prior and posterior predictive checking, and selecting a technique for sampling from a probability distribution. Other topics discussed are: approximate measurement invariance (a Bayesian method to assess comparability of data), evaluating hypotheses via the Bayes Factor and information criteria, and combining evidence from multiple studies addressing the same research question. Finally, we propose strategies for reproducibility and reporting standards, outlining the WAMBS-checklist (when to Worry and how to Avoid the Misuse of Bayesian Statistics).  "},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!M1069=\"\",\"\",ZOZNAM!M1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!N1069=\"\",\"\",ZOZNAM!N1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!O1069=\"\",\"\",ZOZNAM!O1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!P1069=\"\",\"\",ZOZNAM!P1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!Q1069=\"\",\"\",ZOZNAM!Q1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!R1069=\"\",\"\",ZOZNAM!R1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!S1069=\"\",\"\",ZOZNAM!S1069),\"\")","v":""},{"$f":"IF($A1078<>\"\",IF(ZOZNAM!T1069=\"\",\"\",ZOZNAM!T1069),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1070)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1070)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1070)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1070)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1070)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1070)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1070)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1070)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1070)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1070)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1070)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1070)),FALSE))),ZOZNAM!G1070>=$C$9),ZOZNAM!A1070,\"\")","v":"UT334"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!B1070=\"\",\"\",ZOZNAM!B1070),\"\")","v":"Utrecht University"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!C1070=\"\",\"\",ZOZNAM!C1070),\"\")","v":"Survey Research: Statistical Analysis and Estimation"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!D1070=\"\",\"\",ZOZNAM!D1070),\"\")","v":"Online"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!E1070=\"\",\"\",ZOZNAM!E1070),\"\")","v":5},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!F1070=\"\",\"\",ZOZNAM!F1070),\"\")","v":5},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!G1070=\"\",\"\",ZOZNAM!G1070),\"\")","v":"2021-08-23"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!H1070=\"\",\"\",ZOZNAM!H1070),\"\")","v":"2021-08-27"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!I1070=\"\",\"\",ZOZNAM!I1070),\"\")","v":"620 EUR"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!J1070=\"\",\"\",ZOZNAM!J1070),\"\")","v":"2021-08-09"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!K1070=\"\",\"\",ZOZNAM!K1070),\"\")","v":"https://utrechtsummerschool.nl/courses/social-sciences/survey-research-statistical-analysis-and-estimation"},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!L1070=\"\",\"\",ZOZNAM!L1070),\"\")","v":"The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects."},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!M1070=\"\",\"\",ZOZNAM!M1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!N1070=\"\",\"\",ZOZNAM!N1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!O1070=\"\",\"\",ZOZNAM!O1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!P1070=\"\",\"\",ZOZNAM!P1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!Q1070=\"\",\"\",ZOZNAM!Q1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!R1070=\"\",\"\",ZOZNAM!R1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!S1070=\"\",\"\",ZOZNAM!S1070),\"\")","v":""},{"$f":"IF($A1079<>\"\",IF(ZOZNAM!T1070=\"\",\"\",ZOZNAM!T1070),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1071)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1071)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1071)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1071)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1071)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1071)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1071)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1071)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1071)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1071)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1071)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1071)),FALSE))),ZOZNAM!G1071>=$C$9),ZOZNAM!A1071,\"\")","v":"UT335"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!B1071=\"\",\"\",ZOZNAM!B1071),\"\")","v":"Utrecht University"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!C1071=\"\",\"\",ZOZNAM!C1071),\"\")","v":"Advanced Survey Design"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!D1071=\"\",\"\",ZOZNAM!D1071),\"\")","v":"Online"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!E1071=\"\",\"\",ZOZNAM!E1071),\"\")","v":4},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!F1071=\"\",\"\",ZOZNAM!F1071),\"\")","v":5},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!G1071=\"\",\"\",ZOZNAM!G1071),\"\")","v":"2021-08-30"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!H1071=\"\",\"\",ZOZNAM!H1071),\"\")","v":"2021-09-03"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!I1071=\"\",\"\",ZOZNAM!I1071),\"\")","v":"620 EUR"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!J1071=\"\",\"\",ZOZNAM!J1071),\"\")","v":"2021-08-16"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!K1071=\"\",\"\",ZOZNAM!K1071),\"\")","v":"https://utrechtsummerschool.nl/courses/social-sciences/advanced-survey-design"},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!L1071=\"\",\"\",ZOZNAM!L1071),\"\")","v":"This course in ‘advanced survey design’ takes students beyond the introductory courses and will discuss the state of the art in both the design and the analysis of survey data. We discuss new ways to analyse text data and sensor data generated by modern surveys. Course participants must be proficient working with statistical software (Stata, SPSS or R). Course materials have been developed in R, but most exercises on days 1-3 is in SPSS or STATA."},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!M1071=\"\",\"\",ZOZNAM!M1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!N1071=\"\",\"\",ZOZNAM!N1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!O1071=\"\",\"\",ZOZNAM!O1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!P1071=\"\",\"\",ZOZNAM!P1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!Q1071=\"\",\"\",ZOZNAM!Q1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!R1071=\"\",\"\",ZOZNAM!R1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!S1071=\"\",\"\",ZOZNAM!S1071),\"\")","v":""},{"$f":"IF($A1080<>\"\",IF(ZOZNAM!T1071=\"\",\"\",ZOZNAM!T1071),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1072)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1072)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1072)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1072)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1072)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1072)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1072)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1072)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1072)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1072)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1072)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1072)),FALSE))),ZOZNAM!G1072>=$C$9),ZOZNAM!A1072,\"\")","v":"UZ001"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!B1072=\"\",\"\",ZOZNAM!B1072),\"\")","v":"University of Zürich"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!C1072=\"\",\"\",ZOZNAM!C1072),\"\")","v":"Advanced programming in R"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!D1072=\"\",\"\",ZOZNAM!D1072),\"\")","v":"Zürich, Švajčiarsko"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!E1072=\"\",\"\",ZOZNAM!E1072),\"\")","v":1},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!F1072=\"\",\"\",ZOZNAM!F1072),\"\")","v":1},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!G1072=\"\",\"\",ZOZNAM!G1072),\"\")","v":"2021-10-15"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!H1072=\"\",\"\",ZOZNAM!H1072),\"\")","v":"2021-10-15"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!I1072=\"\",\"\",ZOZNAM!I1072),\"\")","v":"600 CHF"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!J1072=\"\",\"\",ZOZNAM!J1072),\"\")","v":"2021-10-13"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!K1072=\"\",\"\",ZOZNAM!K1072),\"\")","v":"https://www.weiterbildung.uzh.ch/programme/detail_en.php?angebnr=1687"},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!L1072=\"\",\"\",ZOZNAM!L1072),\"\")","v":"This course builds upon the Introduction to programming in R course in May 2021. More details about the course contents will follow soon."},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!M1072=\"\",\"\",ZOZNAM!M1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!N1072=\"\",\"\",ZOZNAM!N1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!O1072=\"\",\"\",ZOZNAM!O1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!P1072=\"\",\"\",ZOZNAM!P1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!Q1072=\"\",\"\",ZOZNAM!Q1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!R1072=\"\",\"\",ZOZNAM!R1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!S1072=\"\",\"\",ZOZNAM!S1072),\"\")","v":""},{"$f":"IF($A1081<>\"\",IF(ZOZNAM!T1072=\"\",\"\",ZOZNAM!T1072),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1073)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1073)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1073)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1073)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1073)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1073)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1073)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1073)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1073)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1073)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1073)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1073)),FALSE))),ZOZNAM!G1073>=$C$9),ZOZNAM!A1073,\"\")","v":"UZ002"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!B1073=\"\",\"\",ZOZNAM!B1073),\"\")","v":"University of Zürich"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!C1073=\"\",\"\",ZOZNAM!C1073),\"\")","v":"Current Trends in Sustainable Investing"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!D1073=\"\",\"\",ZOZNAM!D1073),\"\")","v":"Zürich, Švajčiarsko"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!E1073=\"\",\"\",ZOZNAM!E1073),\"\")","v":1},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!F1073=\"\",\"\",ZOZNAM!F1073),\"\")","v":1},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!G1073=\"\",\"\",ZOZNAM!G1073),\"\")","v":"2021-11-19"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!H1073=\"\",\"\",ZOZNAM!H1073),\"\")","v":"2021-11-19"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!I1073=\"\",\"\",ZOZNAM!I1073),\"\")","v":"800 CHF"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!J1073=\"\",\"\",ZOZNAM!J1073),\"\")","v":"2021-10-19"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!K1073=\"\",\"\",ZOZNAM!K1073),\"\")","v":"https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/current-trends-in-sustainable-investing.html"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!L1073=\"\",\"\",ZOZNAM!L1073),\"\")","v":"Participants become familiar with the concepts of sustainability and the diversity of technical terms in the modern world of \"sustainable investing\". After the basic course you will have a deeper understanding of the SI market and its players and will be able to identify different SI investor profiles and analyse their investments and decision-making processes. Participants have extensive SI knowledge of product and investment strategies and understand SI-based asset management in terms of product analysis and selection. You will gain an insight into SI risk analysis and its performance measurement. The course thus imparts specialist knowledge for strengthening SI consulting and decision-making competence. The additional module \"Current Trends in SI\" offers a foundation in special topics and value chains of non-listed SI, such as sustainable infrastructure investments, bonds and engagement."},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!M1073=\"\",\"\",ZOZNAM!M1073),\"\")","v":"Case study homework"},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!N1073=\"\",\"\",ZOZNAM!N1073),\"\")","v":""},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!O1073=\"\",\"\",ZOZNAM!O1073),\"\")","v":""},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!P1073=\"\",\"\",ZOZNAM!P1073),\"\")","v":""},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!Q1073=\"\",\"\",ZOZNAM!Q1073),\"\")","v":""},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!R1073=\"\",\"\",ZOZNAM!R1073),\"\")","v":""},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!S1073=\"\",\"\",ZOZNAM!S1073),\"\")","v":""},{"$f":"IF($A1082<>\"\",IF(ZOZNAM!T1073=\"\",\"\",ZOZNAM!T1073),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1074)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1074)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1074)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1074)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1074)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1074)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1074)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1074)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1074)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1074)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1074)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1074)),FALSE))),ZOZNAM!G1074>=$C$9),ZOZNAM!A1074,\"\")","v":"UZ003"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!B1074=\"\",\"\",ZOZNAM!B1074),\"\")","v":"University of Zürich"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!C1074=\"\",\"\",ZOZNAM!C1074),\"\")","v":"Anonymization of personal data with applications in R"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!D1074=\"\",\"\",ZOZNAM!D1074),\"\")","v":"Zürich, Švajčiarsko"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!E1074=\"\",\"\",ZOZNAM!E1074),\"\")","v":1},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!F1074=\"\",\"\",ZOZNAM!F1074),\"\")","v":1},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!G1074=\"\",\"\",ZOZNAM!G1074),\"\")","v":"2021-11-12"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!H1074=\"\",\"\",ZOZNAM!H1074),\"\")","v":"2021-11-12"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!I1074=\"\",\"\",ZOZNAM!I1074),\"\")","v":"600 CHF"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!J1074=\"\",\"\",ZOZNAM!J1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!K1074=\"\",\"\",ZOZNAM!K1074),\"\")","v":"https://www.zhrcourses.uzh.ch/de/programm2021/anonymization.html"},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!L1074=\"\",\"\",ZOZNAM!L1074),\"\")","v":" \nNew technologies and research in the field of machine learning and deep learning methods and new ways of accessing, integrating and analyzing sensitive personal data increase the demand for solutions to be able to respect laws on data privacy and confidentiality. Fields of applications include official statistics and social sciences, financial transactions, social network activities, location trajectories, CRM, insurance data and medical records.\nNew data protection regulations, that especially include high penalties for violating privacy, put the topic of statistical disclosure control in focus."},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!M1074=\"\",\"\",ZOZNAM!M1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!N1074=\"\",\"\",ZOZNAM!N1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!O1074=\"\",\"\",ZOZNAM!O1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!P1074=\"\",\"\",ZOZNAM!P1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!Q1074=\"\",\"\",ZOZNAM!Q1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!R1074=\"\",\"\",ZOZNAM!R1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!S1074=\"\",\"\",ZOZNAM!S1074),\"\")","v":""},{"$f":"IF($A1083<>\"\",IF(ZOZNAM!T1074=\"\",\"\",ZOZNAM!T1074),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1075)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1075)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1075)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1075)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1075)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1075)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1075)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1075)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1075)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1075)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1075)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1075)),FALSE))),ZOZNAM!G1075>=$C$9),ZOZNAM!A1075,\"\")","v":"UG002"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!B1075=\"\",\"\",ZOZNAM!B1075),\"\")","v":"University of Groningen"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!C1075=\"\",\"\",ZOZNAM!C1075),\"\")","v":"Creating a Climate for Change"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!D1075=\"\",\"\",ZOZNAM!D1075),\"\")","v":"Groningen, Holandsko"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!E1075=\"\",\"\",ZOZNAM!E1075),\"\")","v":3},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!F1075=\"\",\"\",ZOZNAM!F1075),\"\")","v":3},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!G1075=\"\",\"\",ZOZNAM!G1075),\"\")","v":"2022-04-12"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!H1075=\"\",\"\",ZOZNAM!H1075),\"\")","v":"2022-04-14"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!I1075=\"\",\"\",ZOZNAM!I1075),\"\")","v":"300 EUR"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!J1075=\"\",\"\",ZOZNAM!J1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!K1075=\"\",\"\",ZOZNAM!K1075),\"\")","v":"https://www.rug.nl/education/summer-winter-schools/climate_for_change/"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!L1075=\"\",\"\",ZOZNAM!L1075),\"\")","v":"Welcome to a summer school for sustainability education in Groningen. At this summer school, we want to share exciting and develop new ideas through series of participatory and interactive workshops. Through discussing our challenges in sustainability education, we will aim to critically analyze our experiences and share our best practices. We ask participants to bring in their cases and experiences.\n\nOver the course of the summer school the cases may concern themes:\n\nDefining and measuring sustainable education\nIncorporating sustainability as a central element of a course\nDeparting from solitude of specialization to teach sustainability\nCreating multi- inter- transdisciplinary education on program level\nShaping and incorporating transformative learning\nIntroducing complexity; valuing ethical and morals aspects of being\nIntegrative understanding by integrative teaching: ethical thinking and action are supported by moving from being bystander to being a neighbor or friend\nCreating intimate understanding of others and their needs to prompt compassionate action\nCreating awareness that knowledge is socially constructed\nBridging the knowledge-action gap: demonstrating to learners what people do with their knowledge  \nDeveloping reflective, compassionate politically and socially sensitive teachers\nEducators’ practice: how do you do what you teach?\nAnthropocene – bringing the effect of human on Earth in education\nCreating connections to the community\nBuilding community, building strong relationships, developing higher level thinking skills for real-life application\nChanges in Higher Education institutions towards accommodating SDGs\nappreciation/attention from the faculty/board authorities\nnew organizational forms\naccommodating inclusiveness"},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!M1075=\"\",\"\",ZOZNAM!M1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!N1075=\"\",\"\",ZOZNAM!N1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!O1075=\"\",\"\",ZOZNAM!O1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!P1075=\"\",\"\",ZOZNAM!P1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!Q1075=\"\",\"\",ZOZNAM!Q1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!R1075=\"\",\"\",ZOZNAM!R1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!S1075=\"\",\"\",ZOZNAM!S1075),\"\")","v":""},{"$f":"IF($A1084<>\"\",IF(ZOZNAM!T1075=\"\",\"\",ZOZNAM!T1075),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1076)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1076)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1076)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1076)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1076)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1076)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1076)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1076)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1076)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1076)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1076)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1076)),FALSE))),ZOZNAM!G1076>=$C$9),ZOZNAM!A1076,\"\")","v":"ER003"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!B1076=\"\",\"\",ZOZNAM!B1076),\"\")","v":"Erasmus University Rotterdam"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!C1076=\"\",\"\",ZOZNAM!C1076),\"\")","v":"Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!D1076=\"\",\"\",ZOZNAM!D1076),\"\")","v":"Online"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!E1076=\"\",\"\",ZOZNAM!E1076),\"\")","v":35},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!F1076=\"\",\"\",ZOZNAM!F1076),\"\")","v":35},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!G1076=\"\",\"\",ZOZNAM!G1076),\"\")","v":"Self-paced"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!H1076=\"\",\"\",ZOZNAM!H1076),\"\")","v":"Self-paced"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!I1076=\"\",\"\",ZOZNAM!I1076),\"\")","v":"50 EUR"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!J1076=\"\",\"\",ZOZNAM!J1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!K1076=\"\",\"\",ZOZNAM!K1076),\"\")","v":"https://www.eur.nl/en/course/advanced-valuation-and-strategy-ma-private-equity-and-venture-capital"},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!L1076=\"\",\"\",ZOZNAM!L1076),\"\")","v":"Would you like to learn about the latest valuation methods that may help you to make better business decisions? This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!\n\nWe will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis.\n\nOur treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis? The tools we provide can improve your decisions in business and in daily life."},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!M1076=\"\",\"\",ZOZNAM!M1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!N1076=\"\",\"\",ZOZNAM!N1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!O1076=\"\",\"\",ZOZNAM!O1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!P1076=\"\",\"\",ZOZNAM!P1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!Q1076=\"\",\"\",ZOZNAM!Q1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!R1076=\"\",\"\",ZOZNAM!R1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!S1076=\"\",\"\",ZOZNAM!S1076),\"\")","v":""},{"$f":"IF($A1085<>\"\",IF(ZOZNAM!T1076=\"\",\"\",ZOZNAM!T1076),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1165)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1165)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1165)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1165)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1165)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1165)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1165)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1165)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1165)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1165)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1165)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1165)),FALSE))),ZOZNAM!G1165>=$C$9),ZOZNAM!A1165,\"\")","v":"GE262"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!B1165=\"\",\"\",ZOZNAM!B1165),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!C1165=\"\",\"\",ZOZNAM!C1165),\"\")","v":"Tools and Workflows for Reproducible Research in the Quantitative Social Sciences (Online-Workshop!)"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!D1165=\"\",\"\",ZOZNAM!D1165),\"\")","v":"Online"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!E1165=\"\",\"\",ZOZNAM!E1165),\"\")","v":2},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!F1165=\"\",\"\",ZOZNAM!F1165),\"\")","v":2},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!G1165=\"\",\"\",ZOZNAM!G1165),\"\")","v":"2021-11-17"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!H1165=\"\",\"\",ZOZNAM!H1165),\"\")","v":"2021-11-18"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!I1165=\"\",\"\",ZOZNAM!I1165),\"\")","v":"480 EUR"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!J1165=\"\",\"\",ZOZNAM!J1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!K1165=\"\",\"\",ZOZNAM!K1165),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x6D125E38FB5043FFA900EE56B9EA740F"},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!L1165=\"\",\"\",ZOZNAM!L1165),\"\")","v":"The focus of the course is on reproducible research in the quantitative social and behavioral sciences. Reproducibility here means that other researchers can fully understand and (re-)use your statistical analyses. The workflows and tools covered in this course will, ultimately, also facilitate your own work as they allow you to automate analysis and reporting tasks. The goal of this course is to introduce participants to tools and processes for reproducible research and enable them to make use of those for their own work."},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!M1165=\"\",\"\",ZOZNAM!M1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!N1165=\"\",\"\",ZOZNAM!N1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!O1165=\"\",\"\",ZOZNAM!O1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!P1165=\"\",\"\",ZOZNAM!P1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!Q1165=\"\",\"\",ZOZNAM!Q1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!R1165=\"\",\"\",ZOZNAM!R1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!S1165=\"\",\"\",ZOZNAM!S1165),\"\")","v":""},{"$f":"IF($A1174<>\"\",IF(ZOZNAM!T1165=\"\",\"\",ZOZNAM!T1165),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1166)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1166)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1166)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1166)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1166)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1166)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1166)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1166)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1166)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1166)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1166)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1166)),FALSE))),ZOZNAM!G1166>=$C$9),ZOZNAM!A1166,\"\")","v":"TH250"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!B1166=\"\",\"\",ZOZNAM!B1166),\"\")","v":"The European Regional Science Association (ERSA)"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!C1166=\"\",\"\",ZOZNAM!C1166),\"\")","v":"Cohesion Policy: evidence-based lessons for digital and green recovery in Europe"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!D1166=\"\",\"\",ZOZNAM!D1166),\"\")","v":"Online"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!E1166=\"\",\"\",ZOZNAM!E1166),\"\")","v":1},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!F1166=\"\",\"\",ZOZNAM!F1166),\"\")","v":1},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!G1166=\"\",\"\",ZOZNAM!G1166),\"\")","v":"2021-09-24"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!H1166=\"\",\"\",ZOZNAM!H1166),\"\")","v":"2021-09-24"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!I1166=\"\",\"\",ZOZNAM!I1166),\"\")","v":0},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!J1166=\"\",\"\",ZOZNAM!J1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!K1166=\"\",\"\",ZOZNAM!K1166),\"\")","v":"https://ersa.eventsair.com/online-workshop-cohesion-policy/"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!L1166=\"\",\"\",ZOZNAM!L1166),\"\")","v":"This workshop explores the opportunities and challenges triggered by the digital and green transitions in Europe and its regions. The Recovery Plan and Next Generation EU are reshaping the entire EU policy landscape towards a common purpose: a digital, green and inclusive recovery from Covid-19. Cohesion Policy – the key development policy of the Union – takes centre stage in this historical opportunity to ‘build back better’ to benefit all citizens and regions. Solid evidence on ‘what works in practice’ and a truly inter-disciplinary approach are needed to inform, guide and shape a new generation of regional and industrial policies able to deliver on this ambitious agenda. High-level speakers from a diverse set of fields and institutions will engage in an evidence-based debate on how Next Generation EU and the EU Cohesion Policy could support a digital, green and inclusive recovery in all EU regions. What is (and what should be) the role of data and evaluation for policy learning? How can we address the challenges for green and digital recovery in less developed regions? What can we learn from the experience of 50 years of Cohesion Policy to inform and shape new evidence-based interventions?"},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!M1166=\"\",\"\",ZOZNAM!M1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!N1166=\"\",\"\",ZOZNAM!N1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!O1166=\"\",\"\",ZOZNAM!O1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!P1166=\"\",\"\",ZOZNAM!P1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!Q1166=\"\",\"\",ZOZNAM!Q1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!R1166=\"\",\"\",ZOZNAM!R1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!S1166=\"\",\"\",ZOZNAM!S1166),\"\")","v":""},{"$f":"IF($A1175<>\"\",IF(ZOZNAM!T1166=\"\",\"\",ZOZNAM!T1166),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1167)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1167)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1167)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1167)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1167)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1167)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1167)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1167)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1167)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1167)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1167)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1167)),FALSE))),ZOZNAM!G1167>=$C$9),ZOZNAM!A1167,\"\")","v":"CI002"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!B1167=\"\",\"\",ZOZNAM!B1167),\"\")","v":"Centre for Industrial Studies"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!C1167=\"\",\"\",ZOZNAM!C1167),\"\")","v":"KEEPING PACE WITH CBA: Investment appraisal for the Next Generation EU"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!D1167=\"\",\"\",ZOZNAM!D1167),\"\")","v":"Online"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!E1167=\"\",\"\",ZOZNAM!E1167),\"\")","v":3},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!F1167=\"\",\"\",ZOZNAM!F1167),\"\")","v":3},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!G1167=\"\",\"\",ZOZNAM!G1167),\"\")","v":"2021-09-22"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!H1167=\"\",\"\",ZOZNAM!H1167),\"\")","v":"2021-09-24"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!I1167=\"\",\"\",ZOZNAM!I1167),\"\")","v":"500 EUR"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!J1167=\"\",\"\",ZOZNAM!J1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!K1167=\"\",\"\",ZOZNAM!K1167),\"\")","v":"https://www.csilmilano.com/cba-webinar/"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!L1167=\"\",\"\",ZOZNAM!L1167),\"\")","v":"Public spending efficiency and effectiveness ensuring good value for money is increasingly important in the post-COVID era. With the combination of the 2021-2027 Multiannual Financial Framework and Next Generation EU, there is an extraordinary commitment of resources from the European Union towards the recovery and the building of a greener, more digital and resilient EU. A fiscal effort of this size provides an unprecedented availability of financing opportunities but also calls for sound national frameworks and methods for the prioritisation, appraisal and selection of investments."},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!M1167=\"\",\"\",ZOZNAM!M1167),\"\")","v":"Možnosť registrácie aj na jednotlivé dni samostatne. \n1 deň = 200 EUR, 3 dni = 500 EUR"},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!N1167=\"\",\"\",ZOZNAM!N1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!O1167=\"\",\"\",ZOZNAM!O1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!P1167=\"\",\"\",ZOZNAM!P1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!Q1167=\"\",\"\",ZOZNAM!Q1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!R1167=\"\",\"\",ZOZNAM!R1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!S1167=\"\",\"\",ZOZNAM!S1167),\"\")","v":""},{"$f":"IF($A1176<>\"\",IF(ZOZNAM!T1167=\"\",\"\",ZOZNAM!T1167),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1168)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1168)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1168)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1168)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1168)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1168)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1168)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1168)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1168)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1168)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1168)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1168)),FALSE))),ZOZNAM!G1168>=$C$9),ZOZNAM!A1168,\"\")","v":"CE181"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!B1168=\"\",\"\",ZOZNAM!B1168),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!C1168=\"\",\"\",ZOZNAM!C1168),\"\")","v":"Translation of Financial Statements into Statistics"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!D1168=\"\",\"\",ZOZNAM!D1168),\"\")","v":"Online"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!E1168=\"\",\"\",ZOZNAM!E1168),\"\")","v":5},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!F1168=\"\",\"\",ZOZNAM!F1168),\"\")","v":5},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!G1168=\"\",\"\",ZOZNAM!G1168),\"\")","v":"2021-09-20"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!H1168=\"\",\"\",ZOZNAM!H1168),\"\")","v":"2021-09-24"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!I1168=\"\",\"\",ZOZNAM!I1168),\"\")","v":0},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!J1168=\"\",\"\",ZOZNAM!J1168),\"\")","v":"2021-09-13"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!K1168=\"\",\"\",ZOZNAM!K1168),\"\")","v":"https://www.cef-see.org/21-dap04"},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!L1168=\"\",\"\",ZOZNAM!L1168),\"\")","v":"This online course will discuss features of financial statements for different financial and nonfinancial sector institutions (like banks, pension funds, public sector corporations, construction companies, etc.) and participants will complete a compilation exercise during the workshop to compile statistics from a sample set of financial statements."},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!M1168=\"\",\"\",ZOZNAM!M1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!N1168=\"\",\"\",ZOZNAM!N1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!O1168=\"\",\"\",ZOZNAM!O1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!P1168=\"\",\"\",ZOZNAM!P1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!Q1168=\"\",\"\",ZOZNAM!Q1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!R1168=\"\",\"\",ZOZNAM!R1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!S1168=\"\",\"\",ZOZNAM!S1168),\"\")","v":""},{"$f":"IF($A1177<>\"\",IF(ZOZNAM!T1168=\"\",\"\",ZOZNAM!T1168),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1169)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1169)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1169)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1169)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1169)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1169)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1169)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1169)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1169)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1169)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1169)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1169)),FALSE))),ZOZNAM!G1169>=$C$9),ZOZNAM!A1169,\"\")","v":"CE182"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!B1169=\"\",\"\",ZOZNAM!B1169),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!C1169=\"\",\"\",ZOZNAM!C1169),\"\")","v":"Economic Analysis and Forecasting with Micro-Data"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!D1169=\"\",\"\",ZOZNAM!D1169),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!E1169=\"\",\"\",ZOZNAM!E1169),\"\")","v":3},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!F1169=\"\",\"\",ZOZNAM!F1169),\"\")","v":3},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!G1169=\"\",\"\",ZOZNAM!G1169),\"\")","v":"2021-10-11"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!H1169=\"\",\"\",ZOZNAM!H1169),\"\")","v":"2021-10-13"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!I1169=\"\",\"\",ZOZNAM!I1169),\"\")","v":0},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!J1169=\"\",\"\",ZOZNAM!J1169),\"\")","v":"2021-09-20"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!K1169=\"\",\"\",ZOZNAM!K1169),\"\")","v":"https://www.cef-see.org/21-dap05"},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!L1169=\"\",\"\",ZOZNAM!L1169),\"\")","v":"At this event, we will review a set of methodologies typically used in microdata analysis. We will focus our efforts into learning how to build a simple microsimulation model through a guided exercise with real data using STATA software. We will raise awareness about the possible sources of microdata, learn how to manage large datasets and discuss data quality issues. Participants will increase the technical skills to use statistical methods for the analysis of microdata and how to use them for different policy impact assessments."},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!M1169=\"\",\"\",ZOZNAM!M1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!N1169=\"\",\"\",ZOZNAM!N1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!O1169=\"\",\"\",ZOZNAM!O1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!P1169=\"\",\"\",ZOZNAM!P1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!Q1169=\"\",\"\",ZOZNAM!Q1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!R1169=\"\",\"\",ZOZNAM!R1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!S1169=\"\",\"\",ZOZNAM!S1169),\"\")","v":""},{"$f":"IF($A1178<>\"\",IF(ZOZNAM!T1169=\"\",\"\",ZOZNAM!T1169),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1170)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1170)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1170)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1170)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1170)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1170)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1170)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1170)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1170)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1170)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1170)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1170)),FALSE))),ZOZNAM!G1170>=$C$9),ZOZNAM!A1170,\"\")","v":"CE183"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!B1170=\"\",\"\",ZOZNAM!B1170),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!C1170=\"\",\"\",ZOZNAM!C1170),\"\")","v":"Monitoring Implementation of Structural Reforms"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!D1170=\"\",\"\",ZOZNAM!D1170),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!E1170=\"\",\"\",ZOZNAM!E1170),\"\")","v":3},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!F1170=\"\",\"\",ZOZNAM!F1170),\"\")","v":3},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!G1170=\"\",\"\",ZOZNAM!G1170),\"\")","v":"2021-10-26"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!H1170=\"\",\"\",ZOZNAM!H1170),\"\")","v":"2021-10-28"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!I1170=\"\",\"\",ZOZNAM!I1170),\"\")","v":0},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!J1170=\"\",\"\",ZOZNAM!J1170),\"\")","v":"2021-09-22"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!K1170=\"\",\"\",ZOZNAM!K1170),\"\")","v":"https://www.cef-see.org/21-bpe04"},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!L1170=\"\",\"\",ZOZNAM!L1170),\"\")","v":"This workshop will address monitoring as a phase of the policy cycle while focusing on structural reforms outlined in ERPs. It will offer hands-on knowledge of possible methods and available tools for monitoring of implementation and results of structural reform measures."},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!M1170=\"\",\"\",ZOZNAM!M1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!N1170=\"\",\"\",ZOZNAM!N1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!O1170=\"\",\"\",ZOZNAM!O1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!P1170=\"\",\"\",ZOZNAM!P1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!Q1170=\"\",\"\",ZOZNAM!Q1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!R1170=\"\",\"\",ZOZNAM!R1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!S1170=\"\",\"\",ZOZNAM!S1170),\"\")","v":""},{"$f":"IF($A1179<>\"\",IF(ZOZNAM!T1170=\"\",\"\",ZOZNAM!T1170),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1252)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1252)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1252)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1252)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1252)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1252)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1252)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1252)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1252)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1252)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1252)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1252)),FALSE))),ZOZNAM!G1252>=$C$9),ZOZNAM!A1252,\"\")","v":"AC293"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!B1252=\"\",\"\",ZOZNAM!B1252),\"\")","v":"ACREA CR"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!C1252=\"\",\"\",ZOZNAM!C1252),\"\")","v":"MODELOVÁNÍ STATISTICKÝCH VZTAHŮ (IBM SPSS AMOS)"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!D1252=\"\",\"\",ZOZNAM!D1252),\"\")","v":"Praha, Česko"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!E1252=\"\",\"\",ZOZNAM!E1252),\"\")","v":3},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!F1252=\"\",\"\",ZOZNAM!F1252),\"\")","v":3},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!G1252=\"\",\"\",ZOZNAM!G1252),\"\")","v":"2022-01-10"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!H1252=\"\",\"\",ZOZNAM!H1252),\"\")","v":"2022-01-12"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!I1252=\"\",\"\",ZOZNAM!I1252),\"\")","v":"540 EUR + DPH"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!J1252=\"\",\"\",ZOZNAM!J1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!K1252=\"\",\"\",ZOZNAM!K1252),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/modelovani-statistickych-vztahu/"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!L1252=\"\",\"\",ZOZNAM!L1252),\"\")","v":"Kurz nabízí metodologii strukturních rovnic pomocí známého programu IBM SPSS Amos (Analysis of Model Structure). Modelování statistických korelačních i komplexních kauzálních vztahů je prováděno pomocí grafického uživatelského rozhraní, na němž si nakreslíte svůj model pomocí myši. Model je bezprostředně testován a jsou i navrženy jeho změny. Uvažuje-li uživatel více modelů, program je testuje všechny a vybere ty nejlepší. U víceskupinových analýz pátrá program po nejvhodnějším komparačním závěru."},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!M1252=\"\",\"\",ZOZNAM!M1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!N1252=\"\",\"\",ZOZNAM!N1252),\"\")","v":"nie"},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!O1252=\"\",\"\",ZOZNAM!O1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!P1252=\"\",\"\",ZOZNAM!P1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!Q1252=\"\",\"\",ZOZNAM!Q1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!R1252=\"\",\"\",ZOZNAM!R1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!S1252=\"\",\"\",ZOZNAM!S1252),\"\")","v":""},{"$f":"IF($A1261<>\"\",IF(ZOZNAM!T1252=\"\",\"\",ZOZNAM!T1252),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1269)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1269)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1269)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1269)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1269)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1269)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1269)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1269)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1269)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1269)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1269)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1269)),FALSE))),ZOZNAM!G1269>=$C$9),ZOZNAM!A1269,\"\")","v":"IP039"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!B1269=\"\",\"\",ZOZNAM!B1269),\"\")","v":"ictPRO"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!C1269=\"\",\"\",ZOZNAM!C1269),\"\")","v":"JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ A MANIPULACE S DATY V SQL SERVERU (SQL1)"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!D1269=\"\",\"\",ZOZNAM!D1269),\"\")","v":"Online/Praha, Česko"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!E1269=\"\",\"\",ZOZNAM!E1269),\"\")","v":3},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!F1269=\"\",\"\",ZOZNAM!F1269),\"\")","v":3},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!G1269=\"\",\"\",ZOZNAM!G1269),\"\")","v":"2021-12-01"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!H1269=\"\",\"\",ZOZNAM!H1269),\"\")","v":"2021-12-03"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!I1269=\"\",\"\",ZOZNAM!I1269),\"\")","v":"10900 CZK + DPH"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!J1269=\"\",\"\",ZOZNAM!J1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!K1269=\"\",\"\",ZOZNAM!K1269),\"\")","v":"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-a-manipulace-s-daty-v-SQL-Serveru-SQL1.aspx"},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!L1269=\"\",\"\",ZOZNAM!L1269),\"\")","v":"Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek. Součástí kurzu jsou příkazy jazyka SQL, které slouží pro manipulaci s daty, tvorbu tabulek, vkládání, úpravu a odstraňování dat."},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!M1269=\"\",\"\",ZOZNAM!M1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!N1269=\"\",\"\",ZOZNAM!N1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!O1269=\"\",\"\",ZOZNAM!O1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!P1269=\"\",\"\",ZOZNAM!P1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!Q1269=\"\",\"\",ZOZNAM!Q1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!R1269=\"\",\"\",ZOZNAM!R1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!S1269=\"\",\"\",ZOZNAM!S1269),\"\")","v":""},{"$f":"IF($A1278<>\"\",IF(ZOZNAM!T1269=\"\",\"\",ZOZNAM!T1269),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1270)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1270)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1270)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1270)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1270)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1270)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1270)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1270)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1270)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1270)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1270)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1270)),FALSE))),ZOZNAM!G1270>=$C$9),ZOZNAM!A1270,\"\")","v":"IP040"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!B1270=\"\",\"\",ZOZNAM!B1270),\"\")","v":"ictPRO"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!C1270=\"\",\"\",ZOZNAM!C1270),\"\")","v":"JAZYK SQL – ZÁKLADY MANIPULACE S DATY V SQL SERVERU (SQL1B)"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!D1270=\"\",\"\",ZOZNAM!D1270),\"\")","v":"Online/Praha, Česko"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!E1270=\"\",\"\",ZOZNAM!E1270),\"\")","v":1},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!F1270=\"\",\"\",ZOZNAM!F1270),\"\")","v":1},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!G1270=\"\",\"\",ZOZNAM!G1270),\"\")","v":"2022-01-28"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!H1270=\"\",\"\",ZOZNAM!H1270),\"\")","v":"2022-01-28"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!I1270=\"\",\"\",ZOZNAM!I1270),\"\")","v":"3900 CZK + DPH"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!J1270=\"\",\"\",ZOZNAM!J1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!K1270=\"\",\"\",ZOZNAM!K1270),\"\")","v":"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-manipulace-s-daty-v-SQL-Serveru-SQL1B.aspx"},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!L1270=\"\",\"\",ZOZNAM!L1270),\"\")","v":"Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí manipulovat s daty v prostředí programu SQL Server Management Studio (SSMS). Seznámí se s příkazy Transact-SQL (T-SQL) pro tvorbu tabulek, vkládání, úpravu a odstraňování dat."},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!M1270=\"\",\"\",ZOZNAM!M1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!N1270=\"\",\"\",ZOZNAM!N1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!O1270=\"\",\"\",ZOZNAM!O1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!P1270=\"\",\"\",ZOZNAM!P1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!Q1270=\"\",\"\",ZOZNAM!Q1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!R1270=\"\",\"\",ZOZNAM!R1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!S1270=\"\",\"\",ZOZNAM!S1270),\"\")","v":""},{"$f":"IF($A1279<>\"\",IF(ZOZNAM!T1270=\"\",\"\",ZOZNAM!T1270),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1271)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1271)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1271)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1271)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1271)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1271)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1271)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1271)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1271)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1271)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1271)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1271)),FALSE))),ZOZNAM!G1271>=$C$9),ZOZNAM!A1271,\"\")","v":"IP041"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!B1271=\"\",\"\",ZOZNAM!B1271),\"\")","v":"ictPRO"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!C1271=\"\",\"\",ZOZNAM!C1271),\"\")","v":"MS ACCESS - PRÁCE S DATABÁZÍ (ACS1)"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!D1271=\"\",\"\",ZOZNAM!D1271),\"\")","v":"Online/Brno, Česko"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!E1271=\"\",\"\",ZOZNAM!E1271),\"\")","v":2},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!F1271=\"\",\"\",ZOZNAM!F1271),\"\")","v":2},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!G1271=\"\",\"\",ZOZNAM!G1271),\"\")","v":"2022-02-17"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!H1271=\"\",\"\",ZOZNAM!H1271),\"\")","v":"2022-02-18"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!I1271=\"\",\"\",ZOZNAM!I1271),\"\")","v":"4900 CZK + DPH"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!J1271=\"\",\"\",ZOZNAM!J1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!K1271=\"\",\"\",ZOZNAM!K1271),\"\")","v":"https://www.skoleni-ict.cz/kurz/MS-Access-prace-s-databazi-ACS1.aspx"},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!L1271=\"\",\"\",ZOZNAM!L1271),\"\")","v":"Kurz je určen k osvojení základů a zásad práce s databází vytvořených v programu MS Access. Seznámíte se v něm se základními objekty databázových souborů a s možnostmi jejich úprav. Po absolvování kurzu se budete orientovat v prostředí aplikace, získáte přehled o databázovém souboru MS Access a naučíte se pracovat s jednotlivými databázovými objekty."},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!M1271=\"\",\"\",ZOZNAM!M1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!N1271=\"\",\"\",ZOZNAM!N1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!O1271=\"\",\"\",ZOZNAM!O1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!P1271=\"\",\"\",ZOZNAM!P1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!Q1271=\"\",\"\",ZOZNAM!Q1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!R1271=\"\",\"\",ZOZNAM!R1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!S1271=\"\",\"\",ZOZNAM!S1271),\"\")","v":""},{"$f":"IF($A1280<>\"\",IF(ZOZNAM!T1271=\"\",\"\",ZOZNAM!T1271),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1272)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1272)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1272)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1272)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1272)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1272)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1272)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1272)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1272)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1272)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1272)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1272)),FALSE))),ZOZNAM!G1272>=$C$9),ZOZNAM!A1272,\"\")","v":"IP042"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!B1272=\"\",\"\",ZOZNAM!B1272),\"\")","v":"ictPRO"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!C1272=\"\",\"\",ZOZNAM!C1272),\"\")","v":"MS ACCESS - TVORBA DATABÁZE (ACS2)"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!D1272=\"\",\"\",ZOZNAM!D1272),\"\")","v":"Online/Brno, Česko"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!E1272=\"\",\"\",ZOZNAM!E1272),\"\")","v":2},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!F1272=\"\",\"\",ZOZNAM!F1272),\"\")","v":2},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!G1272=\"\",\"\",ZOZNAM!G1272),\"\")","v":"2022-01-06"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!H1272=\"\",\"\",ZOZNAM!H1272),\"\")","v":"2022-01-07"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!I1272=\"\",\"\",ZOZNAM!I1272),\"\")","v":"5900 CZK + DPH"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!J1272=\"\",\"\",ZOZNAM!J1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!K1272=\"\",\"\",ZOZNAM!K1272),\"\")","v":"https://www.skoleni-ict.cz/kurz/MS-Access-tvorba-databaze-ACS2.aspx"},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!L1272=\"\",\"\",ZOZNAM!L1272),\"\")","v":"Kurz je určen všem uživatelům, kteří chtějí efektivně využívat program MS Access pro správu svých dat. Účastníci kurzu se naučí využívat prostředí programu k úpravám existujících databází, pracovat s jednotlivými objekty databází a vytvářet vlastní databázové aplikace."},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!M1272=\"\",\"\",ZOZNAM!M1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!N1272=\"\",\"\",ZOZNAM!N1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!O1272=\"\",\"\",ZOZNAM!O1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!P1272=\"\",\"\",ZOZNAM!P1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!Q1272=\"\",\"\",ZOZNAM!Q1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!R1272=\"\",\"\",ZOZNAM!R1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!S1272=\"\",\"\",ZOZNAM!S1272),\"\")","v":""},{"$f":"IF($A1281<>\"\",IF(ZOZNAM!T1272=\"\",\"\",ZOZNAM!T1272),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1288)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1288)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1288)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1288)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1288)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1288)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1288)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1288)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1288)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1288)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1288)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1288)),FALSE))),ZOZNAM!G1288>=$C$9),ZOZNAM!A1288,\"\")","v":"MF019"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!B1288=\"\",\"\",ZOZNAM!B1288),\"\")","v":"International Monetary Fund"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!C1288=\"\",\"\",ZOZNAM!C1288),\"\")","v":"Consumer Price Index-Advanced"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!D1288=\"\",\"\",ZOZNAM!D1288),\"\")","v":"Kuvajt, Kuvajt"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!E1288=\"\",\"\",ZOZNAM!E1288),\"\")","v":4},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!F1288=\"\",\"\",ZOZNAM!F1288),\"\")","v":4},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!G1288=\"\",\"\",ZOZNAM!G1288),\"\")","v":"2022-01-24"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!H1288=\"\",\"\",ZOZNAM!H1288),\"\")","v":"2022-01-27"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!I1288=\"\",\"\",ZOZNAM!I1288),\"\")","v":"0 EUR"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!J1288=\"\",\"\",ZOZNAM!J1288),\"\")","v":"2021-12-17"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!K1288=\"\",\"\",ZOZNAM!K1288),\"\")","v":"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/CE/2022/CPI-ACE22-07V"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!L1288=\"\",\"\",ZOZNAM!L1288),\"\")","v":"This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing weights and sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. "},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!M1288=\"\",\"\",ZOZNAM!M1288),\"\")","v":""},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!N1288=\"\",\"\",ZOZNAM!N1288),\"\")","v":"nie"},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!O1288=\"\",\"\",ZOZNAM!O1288),\"\")","v":""},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!P1288=\"\",\"\",ZOZNAM!P1288),\"\")","v":""},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!Q1288=\"\",\"\",ZOZNAM!Q1288),\"\")","v":""},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!R1288=\"\",\"\",ZOZNAM!R1288),\"\")","v":""},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!S1288=\"\",\"\",ZOZNAM!S1288),\"\")","v":""},{"$f":"IF($A1297<>\"\",IF(ZOZNAM!T1288=\"\",\"\",ZOZNAM!T1288),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1309)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1309)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1309)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1309)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1309)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1309)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1309)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1309)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1309)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1309)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1309)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1309)),FALSE))),ZOZNAM!G1309>=$C$9),ZOZNAM!A1309,\"\")","v":"AE027"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!B1309=\"\",\"\",ZOZNAM!B1309),\"\")","v":"AdeptEvents"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!C1309=\"\",\"\",ZOZNAM!C1309),\"\")","v":"AGILE DATA WAREHOUSE DESIGN & DIMENSIONAL MODELING"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!D1309=\"\",\"\",ZOZNAM!D1309),\"\")","v":"Online/Utrecht, Holandsko"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!E1309=\"\",\"\",ZOZNAM!E1309),\"\")","v":3},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!F1309=\"\",\"\",ZOZNAM!F1309),\"\")","v":3},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!G1309=\"\",\"\",ZOZNAM!G1309),\"\")","v":"2022-06-13"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!H1309=\"\",\"\",ZOZNAM!H1309),\"\")","v":"2022-06-15"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!I1309=\"\",\"\",ZOZNAM!I1309),\"\")","v":"1990 EUR / 1600 EUR + VAT"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!J1309=\"\",\"\",ZOZNAM!J1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!K1309=\"\",\"\",ZOZNAM!K1309),\"\")","v":"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en"},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!L1309=\"\",\"\",ZOZNAM!L1309),\"\")","v":"Agile techniques emphasise the early and frequent delivery of working software, stakeholder collaboration, responsiveness to change and waste elimination. They have revolutionised application development and are increasingly being adopted by DW/BI teams. This course provides practical tools and techniques for applying agility to the design of database schemas – the earliest needed and most important working software for BI.\n\nThe course contrasts agile and non-agile DW/BI development and highlights the inherent failings of traditional BI requirements analysis and data modeling. Via class room sessions and team exercises attendees will discover how modelstorming (modeling + brainstorming) data requirements directly with BI stakeholders overcomes these limitations."},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!M1309=\"\",\"\",ZOZNAM!M1309),\"\")","v":"The Early Bird rate of € 1.791,00 expires (*) after 14 May 2022."},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!N1309=\"\",\"\",ZOZNAM!N1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!O1309=\"\",\"\",ZOZNAM!O1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!P1309=\"\",\"\",ZOZNAM!P1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!Q1309=\"\",\"\",ZOZNAM!Q1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!R1309=\"\",\"\",ZOZNAM!R1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!S1309=\"\",\"\",ZOZNAM!S1309),\"\")","v":""},{"$f":"IF($A1318<>\"\",IF(ZOZNAM!T1309=\"\",\"\",ZOZNAM!T1309),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1310)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1310)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1310)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1310)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1310)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1310)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1310)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1310)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1310)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1310)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1310)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1310)),FALSE))),ZOZNAM!G1310>=$C$9),ZOZNAM!A1310,\"\")","v":"CM013"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!B1310=\"\",\"\",ZOZNAM!B1310),\"\")","v":"Cemmap"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!C1310=\"\",\"\",ZOZNAM!C1310),\"\")","v":"Policy Evaluation methods course"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!D1310=\"\",\"\",ZOZNAM!D1310),\"\")","v":"self-paced"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!E1310=\"\",\"\",ZOZNAM!E1310),\"\")","v":15},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!F1310=\"\",\"\",ZOZNAM!F1310),\"\")","v":21},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!G1310=\"\",\"\",ZOZNAM!G1310),\"\")","v":"2022-03-07"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!H1310=\"\",\"\",ZOZNAM!H1310),\"\")","v":"2022-03-27"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!I1310=\"\",\"\",ZOZNAM!I1310),\"\")","v":"924 GBP"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!J1310=\"\",\"\",ZOZNAM!J1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!K1310=\"\",\"\",ZOZNAM!K1310),\"\")","v":"https://www.cemmap.ac.uk/event/policy-evaluation-methods-course-6/"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!L1310=\"\",\"\",ZOZNAM!L1310),\"\")","v":"his course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic ‘treatment’ – from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of smoking on own and children’s health.\n\nAfter highlighting the ‘evaluation problem’ and the challenges it poses to the analyst, we focus on the main empirical methods to solve it:\n\nNaive non-experimental estimator\nRandomised social experiments\nNatural experiments or instrumental variables\nRegression Discontinuity Design\nRegression analysis\nMatching methods\nBefore-after\nDifference-in-differences\nSynthetic control methods"},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!M1310=\"\",\"\",ZOZNAM!M1310),\"\")","v":"Kurz je možné absolvovať aj prezenčne počas 2 pracovných dní, konkrétne 28.3.2022 a 29.3.2022."},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!N1310=\"\",\"\",ZOZNAM!N1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!O1310=\"\",\"\",ZOZNAM!O1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!P1310=\"\",\"\",ZOZNAM!P1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!Q1310=\"\",\"\",ZOZNAM!Q1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!R1310=\"\",\"\",ZOZNAM!R1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!S1310=\"\",\"\",ZOZNAM!S1310),\"\")","v":""},{"$f":"IF($A1319<>\"\",IF(ZOZNAM!T1310=\"\",\"\",ZOZNAM!T1310),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1311)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1311)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1311)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1311)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1311)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1311)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1311)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1311)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1311)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1311)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1311)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1311)),FALSE))),ZOZNAM!G1311>=$C$9),ZOZNAM!A1311,\"\")","v":"CM014"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!B1311=\"\",\"\",ZOZNAM!B1311),\"\")","v":"Cemmap"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!C1311=\"\",\"\",ZOZNAM!C1311),\"\")","v":"Reproducible Econometrics Using R"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!D1311=\"\",\"\",ZOZNAM!D1311),\"\")","v":"TBA"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!E1311=\"\",\"\",ZOZNAM!E1311),\"\")","v":2},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!F1311=\"\",\"\",ZOZNAM!F1311),\"\")","v":2},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!G1311=\"\",\"\",ZOZNAM!G1311),\"\")","v":"2022-04-25"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!H1311=\"\",\"\",ZOZNAM!H1311),\"\")","v":"2022-04-26"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!I1311=\"\",\"\",ZOZNAM!I1311),\"\")","v":"240 GBP"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!J1311=\"\",\"\",ZOZNAM!J1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!K1311=\"\",\"\",ZOZNAM!K1311),\"\")","v":"https://www.cemmap.ac.uk/event/reproducible-econometrics-using-r-2/"},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!L1311=\"\",\"\",ZOZNAM!L1311),\"\")","v":"This course will proceed from a state of zero (assumed) prior knowledge of R (www.r-project.org) and the tools used to conduct modern (read reproducible) research to a state of (hopefully) being conversant in R and being able to conduct modern statistical/econometric research in a unified framework. We will begin with the basics of using R (e.g., “Why use R?”, “How do I read my Stata or Excel data into R?”) then progress to an overview of various statistical methods that form the backbone of modern applied research. We will then introduce tools for reproducible research (R Markdown & RStudio) and touch on using github for version control. Extensive examples will be covered and participants are expected to bring their own computer pre-loaded with all necessary software (i.e., R, RStudio, TeX, github, though those without a computer can use RStudio Cloud via a browser instead). A website will be made available to participants where they can access supplementary materials and various resources to help them quickly get up to speed with the material. Those already familiar with R are welcome and ought to benefit as much as those unfamiliar with R."},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!M1311=\"\",\"\",ZOZNAM!M1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!N1311=\"\",\"\",ZOZNAM!N1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!O1311=\"\",\"\",ZOZNAM!O1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!P1311=\"\",\"\",ZOZNAM!P1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!Q1311=\"\",\"\",ZOZNAM!Q1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!R1311=\"\",\"\",ZOZNAM!R1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!S1311=\"\",\"\",ZOZNAM!S1311),\"\")","v":""},{"$f":"IF($A1320<>\"\",IF(ZOZNAM!T1311=\"\",\"\",ZOZNAM!T1311),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1312)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1312)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1312)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1312)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1312)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1312)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1312)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1312)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1312)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1312)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1312)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1312)),FALSE))),ZOZNAM!G1312>=$C$9),ZOZNAM!A1312,\"\")","v":"CE184"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!B1312=\"\",\"\",ZOZNAM!B1312),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!C1312=\"\",\"\",ZOZNAM!C1312),\"\")","v":"Government Cash Management: Coordination of Treasury and Central Bank"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!D1312=\"\",\"\",ZOZNAM!D1312),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!E1312=\"\",\"\",ZOZNAM!E1312),\"\")","v":3},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!F1312=\"\",\"\",ZOZNAM!F1312),\"\")","v":3},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!G1312=\"\",\"\",ZOZNAM!G1312),\"\")","v":"2022-04-12"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!H1312=\"\",\"\",ZOZNAM!H1312),\"\")","v":"2022-04-14"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!I1312=\"\",\"\",ZOZNAM!I1312),\"\")","v":"0 EUR"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!J1312=\"\",\"\",ZOZNAM!J1312),\"\")","v":"2022-03-14"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!K1312=\"\",\"\",ZOZNAM!K1312),\"\")","v":"https://www.cef-see.org/22-cb06"},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!L1312=\"\",\"\",ZOZNAM!L1312),\"\")","v":"This workshop focuses on strengthening cash management processes and coordination between ministries of finance (treasuries) and central banks. We will discuss the interactions between cash and debt management, the importance of good cash forecasts, and how these can be improved to support more efficient use of government cash and better borrowing decisions. Special focus will be put on the interrelationship between the ministry of finance and the central bank with their respective roles in managing fiscal and monetary policy. We will also look at the importance of and actions needed for ensuring comprehensive coverage of the treasury single account both from the perspective of the ministry of finance and the central bank."},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!M1312=\"\",\"\",ZOZNAM!M1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!N1312=\"\",\"\",ZOZNAM!N1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!O1312=\"\",\"\",ZOZNAM!O1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!P1312=\"\",\"\",ZOZNAM!P1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!Q1312=\"\",\"\",ZOZNAM!Q1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!R1312=\"\",\"\",ZOZNAM!R1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!S1312=\"\",\"\",ZOZNAM!S1312),\"\")","v":""},{"$f":"IF($A1321<>\"\",IF(ZOZNAM!T1312=\"\",\"\",ZOZNAM!T1312),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1313)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1313)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1313)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1313)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1313)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1313)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1313)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1313)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1313)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1313)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1313)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1313)),FALSE))),ZOZNAM!G1313>=$C$9),ZOZNAM!A1313,\"\")","v":"CE185"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!B1313=\"\",\"\",ZOZNAM!B1313),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!C1313=\"\",\"\",ZOZNAM!C1313),\"\")","v":"Risk Management Beyond Theory"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!D1313=\"\",\"\",ZOZNAM!D1313),\"\")","v":"Ľubľana, Slovinsko"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!E1313=\"\",\"\",ZOZNAM!E1313),\"\")","v":3},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!F1313=\"\",\"\",ZOZNAM!F1313),\"\")","v":3},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!G1313=\"\",\"\",ZOZNAM!G1313),\"\")","v":"2022-04-05"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!H1313=\"\",\"\",ZOZNAM!H1313),\"\")","v":"2022-04-07"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!I1313=\"\",\"\",ZOZNAM!I1313),\"\")","v":"0 EUR"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!J1313=\"\",\"\",ZOZNAM!J1313),\"\")","v":"2022-03-05"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!K1313=\"\",\"\",ZOZNAM!K1313),\"\")","v":"https://www.cef-see.org/22-aud03"},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!L1313=\"\",\"\",ZOZNAM!L1313),\"\")","v":"This hybrid event will discuss the practical implementation of risk management in the public sector. Starting with the theoretical framing of risk management, we will then look into practical experiences with establishing and implementing risk management functions, taking a closer look at the Dutch experience. The event aims at capturing key recommendations to run effective risk management processes. It will also integrate experience and knowledge shared at related recent CEF activities on the topic of auditing risk management."},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!M1313=\"\",\"\",ZOZNAM!M1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!N1313=\"\",\"\",ZOZNAM!N1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!O1313=\"\",\"\",ZOZNAM!O1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!P1313=\"\",\"\",ZOZNAM!P1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!Q1313=\"\",\"\",ZOZNAM!Q1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!R1313=\"\",\"\",ZOZNAM!R1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!S1313=\"\",\"\",ZOZNAM!S1313),\"\")","v":""},{"$f":"IF($A1322<>\"\",IF(ZOZNAM!T1313=\"\",\"\",ZOZNAM!T1313),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1315)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1315)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1315)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1315)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1315)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1315)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1315)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1315)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1315)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1315)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1315)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1315)),FALSE))),ZOZNAM!G1315>=$C$9),ZOZNAM!A1315,\"\")","v":"CE187"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!B1315=\"\",\"\",ZOZNAM!B1315),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!C1315=\"\",\"\",ZOZNAM!C1315),\"\")","v":"Macroeconomic Modeling for Open Economies 2"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!D1315=\"\",\"\",ZOZNAM!D1315),\"\")","v":"Online"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!E1315=\"\",\"\",ZOZNAM!E1315),\"\")","v":18},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!F1315=\"\",\"\",ZOZNAM!F1315),\"\")","v":24},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!G1315=\"\",\"\",ZOZNAM!G1315),\"\")","v":"2022-02-01"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!H1315=\"\",\"\",ZOZNAM!H1315),\"\")","v":"2022-02-24"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!I1315=\"\",\"\",ZOZNAM!I1315),\"\")","v":"0 EUR"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!J1315=\"\",\"\",ZOZNAM!J1315),\"\")","v":"2022-01-24"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!K1315=\"\",\"\",ZOZNAM!K1315),\"\")","v":"https://www.cef-see.org/22-dap01"},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!L1315=\"\",\"\",ZOZNAM!L1315),\"\")","v":"This learning initiative will be a continuation of the related 2021 online course. It will address dynamic stochastic general equilibrium (DSGE) models and their use in impact analysis. We will introduce more complexities to DSGE models, such as non-linearities and the optimal policy mix, and build on the skills and methods addressed in the first part of the course in 2021. We will also discuss the challenges that participants have experienced in applying their knowledge to practice."},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!M1315=\"\",\"\",ZOZNAM!M1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!N1315=\"\",\"\",ZOZNAM!N1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!O1315=\"\",\"\",ZOZNAM!O1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!P1315=\"\",\"\",ZOZNAM!P1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!Q1315=\"\",\"\",ZOZNAM!Q1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!R1315=\"\",\"\",ZOZNAM!R1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!S1315=\"\",\"\",ZOZNAM!S1315),\"\")","v":""},{"$f":"IF($A1324<>\"\",IF(ZOZNAM!T1315=\"\",\"\",ZOZNAM!T1315),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1321)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1321)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1321)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1321)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1321)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1321)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1321)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1321)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1321)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1321)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1321)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1321)),FALSE))),ZOZNAM!G1321>=$C$9),ZOZNAM!A1321,\"\")","v":"EC301"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!B1321=\"\",\"\",ZOZNAM!B1321),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!C1321=\"\",\"\",ZOZNAM!C1321),\"\")","v":"Case Study Research: Method and Practice"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!D1321=\"\",\"\",ZOZNAM!D1321),\"\")","v":"Online"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!E1321=\"\",\"\",ZOZNAM!E1321),\"\")","v":5},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!F1321=\"\",\"\",ZOZNAM!F1321),\"\")","v":5},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!G1321=\"\",\"\",ZOZNAM!G1321),\"\")","v":"2022-02-07"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!H1321=\"\",\"\",ZOZNAM!H1321),\"\")","v":"2022-02-11"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!I1321=\"\",\"\",ZOZNAM!I1321),\"\")","v":"TBA"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!J1321=\"\",\"\",ZOZNAM!J1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!K1321=\"\",\"\",ZOZNAM!K1321),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11347"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!L1321=\"\",\"\",ZOZNAM!L1321),\"\")","v":"Day 1\nYou will learn about the landscape of case study designs and identify the design that fits your research question. Starting with a brief discussion of concepts, we will also briefly discuss the role and importance of populations. \n\nDay 2\nYou will learn about the menu of types of cases that you can choose for analysis (typical, most-likely, etc) and how to choose the case you need to achieve your research goal. \n\nDay 3\nWe introduce different types of comparisons, how they relate to the types of cases and their choice, and what the benefits and limits of informed comparisons are. \n\nDay 4\nWe introduce process tracing and learn how it can be used to study mechanisms. This includes a discussion of the pros and cons of different types of sources and their organisation in the research process. \n\nDay 5\nWe arrange all elements in a broader picture and discuss the generalisation challenge in small-n research.\n\n"},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!M1321=\"\",\"\",ZOZNAM!M1321),\"\")","v":"2 hours of live teaching per day\n10:00 ꟷ 12:00 CET\nOur course will consist of multiple components. \n\nFirst, pre-recorded sessions introduce you to the methodological principles of case study research. The recordings come with small quizzes and sets of questions for self-paced practice. Watch the videos before the course starts. Interactive live online sessions use Zoom, along with tools such as etherpads.\n\nThe live sessions will involve Q&A sessions on the recordings. The main part will be the application of general methodological principles to published case studies and your individual projects. Each live session will last about 180 minutes in total per day."},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!N1321=\"\",\"\",ZOZNAM!N1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!O1321=\"\",\"\",ZOZNAM!O1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!P1321=\"\",\"\",ZOZNAM!P1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!Q1321=\"\",\"\",ZOZNAM!Q1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!R1321=\"\",\"\",ZOZNAM!R1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!S1321=\"\",\"\",ZOZNAM!S1321),\"\")","v":""},{"$f":"IF($A1330<>\"\",IF(ZOZNAM!T1321=\"\",\"\",ZOZNAM!T1321),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1322)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1322)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1322)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1322)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1322)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1322)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1322)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1322)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1322)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1322)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1322)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1322)),FALSE))),ZOZNAM!G1322>=$C$9),ZOZNAM!A1322,\"\")","v":"EC302"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!B1322=\"\",\"\",ZOZNAM!B1322),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!C1322=\"\",\"\",ZOZNAM!C1322),\"\")","v":"Qualitative Comparative Analysis"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!D1322=\"\",\"\",ZOZNAM!D1322),\"\")","v":"Online"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!E1322=\"\",\"\",ZOZNAM!E1322),\"\")","v":5},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!F1322=\"\",\"\",ZOZNAM!F1322),\"\")","v":5},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!G1322=\"\",\"\",ZOZNAM!G1322),\"\")","v":"2022-02-07"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!H1322=\"\",\"\",ZOZNAM!H1322),\"\")","v":"2022-02-11"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!I1322=\"\",\"\",ZOZNAM!I1322),\"\")","v":"TBA"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!J1322=\"\",\"\",ZOZNAM!J1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!K1322=\"\",\"\",ZOZNAM!K1322),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11344"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!L1322=\"\",\"\",ZOZNAM!L1322),\"\")","v":"This course introduces you to set-theoretic methods and their application in the social sciences, with a focus on Qualitative Comparative Analysis. \n\nIt starts by familiarising you with the basic concepts of the underlying methodological perspective, among them the central notions of necessity and sufficiency, formal logic and Boolean algebra. From there, we move to the logic and analysis of truth tables and discuss the most important problems that emerge when this analytical tool is used for exploring social science data.\n\nRight from the beginning, you will perform set-theoretic analyses with the relevant R software packages.\n\nWhen discussing set-theoretic methods, our debates will engage on broad, general comparative social research issues, such as case selection principles, concept formation, questions of data aggregation and the treatment of causally relevant notions of time.\n\nWe will draw examples from published applications in the social sciences."},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!M1322=\"\",\"\",ZOZNAM!M1322),\"\")","v":"2 hours of live teaching per day\n15:30 ꟷ 17:15 CET"},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!N1322=\"\",\"\",ZOZNAM!N1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!O1322=\"\",\"\",ZOZNAM!O1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!P1322=\"\",\"\",ZOZNAM!P1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!Q1322=\"\",\"\",ZOZNAM!Q1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!R1322=\"\",\"\",ZOZNAM!R1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!S1322=\"\",\"\",ZOZNAM!S1322),\"\")","v":""},{"$f":"IF($A1331<>\"\",IF(ZOZNAM!T1322=\"\",\"\",ZOZNAM!T1322),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1323)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1323)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1323)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1323)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1323)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1323)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1323)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1323)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1323)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1323)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1323)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1323)),FALSE))),ZOZNAM!G1323>=$C$9),ZOZNAM!A1323,\"\")","v":"EC303"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!B1323=\"\",\"\",ZOZNAM!B1323),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!C1323=\"\",\"\",ZOZNAM!C1323),\"\")","v":"Machine Learning with Big Data for Social Scientists"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!D1323=\"\",\"\",ZOZNAM!D1323),\"\")","v":"Online"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!E1323=\"\",\"\",ZOZNAM!E1323),\"\")","v":5},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!F1323=\"\",\"\",ZOZNAM!F1323),\"\")","v":5},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!G1323=\"\",\"\",ZOZNAM!G1323),\"\")","v":"2022-02-07"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!H1323=\"\",\"\",ZOZNAM!H1323),\"\")","v":"2022-02-11"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!I1323=\"\",\"\",ZOZNAM!I1323),\"\")","v":"TBA"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!J1323=\"\",\"\",ZOZNAM!J1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!K1323=\"\",\"\",ZOZNAM!K1323),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11420"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!L1323=\"\",\"\",ZOZNAM!L1323),\"\")","v":"This course provides a highly interactive online teaching and learning environment, using state of the art online pedagogical tools. It is designed for a demanding audience (researchers, professional analysts, advanced students) and capped at a maximum of 16 participants so that the teaching team can cater to the specific needs of each individual.The course assumes you have some familiarity with R statistical language and can conduct basic data handling in R (opening data files, working with data frames). If you don’t have this, take the week-one course Introduction to R. \n\nYou should also have basic knowledge of standard statistical analysis in social science, such as linear regression and hypothesis testing. These are covered in courses Introduction to Inferential Statistics and Big Data Collection and Management in R."},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!M1323=\"\",\"\",ZOZNAM!M1323),\"\")","v":"2 hours of live teaching per day\n14:00 - 16:00 CE"},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!N1323=\"\",\"\",ZOZNAM!N1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!O1323=\"\",\"\",ZOZNAM!O1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!P1323=\"\",\"\",ZOZNAM!P1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!Q1323=\"\",\"\",ZOZNAM!Q1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!R1323=\"\",\"\",ZOZNAM!R1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!S1323=\"\",\"\",ZOZNAM!S1323),\"\")","v":""},{"$f":"IF($A1332<>\"\",IF(ZOZNAM!T1323=\"\",\"\",ZOZNAM!T1323),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1324)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1324)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1324)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1324)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1324)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1324)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1324)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1324)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1324)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1324)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1324)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1324)),FALSE))),ZOZNAM!G1324>=$C$9),ZOZNAM!A1324,\"\")","v":"EC304"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!B1324=\"\",\"\",ZOZNAM!B1324),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!C1324=\"\",\"\",ZOZNAM!C1324),\"\")","v":"Working with Concepts"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!D1324=\"\",\"\",ZOZNAM!D1324),\"\")","v":"Online"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!E1324=\"\",\"\",ZOZNAM!E1324),\"\")","v":5},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!F1324=\"\",\"\",ZOZNAM!F1324),\"\")","v":5},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!G1324=\"\",\"\",ZOZNAM!G1324),\"\")","v":"2022-02-14"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!H1324=\"\",\"\",ZOZNAM!H1324),\"\")","v":"2022-02-18"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!I1324=\"\",\"\",ZOZNAM!I1324),\"\")","v":"TBA"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!J1324=\"\",\"\",ZOZNAM!J1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!K1324=\"\",\"\",ZOZNAM!K1324),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11361"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!L1324=\"\",\"\",ZOZNAM!L1324),\"\")","v":"Concepts are foundational to the social-science enterprise. This course introduces you to two distinct ways to think about and work with them.\n\nOne is the positivist approach to what is called concept 'formation' or 'reconstruction' – the formulation of a technical, neutral vocabulary for measuring, comparing, and generalising.\n\nThe other is an interpretivist approach that focuses on what I call 'elucidation.' Elucidation illuminates the worldviews of the people whom social scientists wish to understand, and the ways in which social scientists’ embeddedness in particular languages, historical eras, and power structures shapes the concepts with which they do their work."},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!M1324=\"\",\"\",ZOZNAM!M1324),\"\")","v":"2 hours of live teaching per day\n15:00 - 17:00 CET"},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!N1324=\"\",\"\",ZOZNAM!N1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!O1324=\"\",\"\",ZOZNAM!O1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!P1324=\"\",\"\",ZOZNAM!P1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!Q1324=\"\",\"\",ZOZNAM!Q1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!R1324=\"\",\"\",ZOZNAM!R1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!S1324=\"\",\"\",ZOZNAM!S1324),\"\")","v":""},{"$f":"IF($A1333<>\"\",IF(ZOZNAM!T1324=\"\",\"\",ZOZNAM!T1324),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1325)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1325)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1325)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1325)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1325)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1325)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1325)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1325)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1325)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1325)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1325)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1325)),FALSE))),ZOZNAM!G1325>=$C$9),ZOZNAM!A1325,\"\")","v":"EC305"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!B1325=\"\",\"\",ZOZNAM!B1325),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!C1325=\"\",\"\",ZOZNAM!C1325),\"\")","v":"Multilevel Structural Equation Modelling"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!D1325=\"\",\"\",ZOZNAM!D1325),\"\")","v":"Leuven, Belgicko"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!E1325=\"\",\"\",ZOZNAM!E1325),\"\")","v":5},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!F1325=\"\",\"\",ZOZNAM!F1325),\"\")","v":5},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!G1325=\"\",\"\",ZOZNAM!G1325),\"\")","v":"2022-02-07"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!H1325=\"\",\"\",ZOZNAM!H1325),\"\")","v":"2022-02-11"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!I1325=\"\",\"\",ZOZNAM!I1325),\"\")","v":"TBA"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!J1325=\"\",\"\",ZOZNAM!J1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!K1325=\"\",\"\",ZOZNAM!K1325),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11332"},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!L1325=\"\",\"\",ZOZNAM!L1325),\"\")","v":"Structural equation modelling (SEM) and multilevel modelling (MLM) are popular analytical methodologies in the social sciences.\nMultilevel modelling allows us to assess data on multiple levels of analysis provided the sample size, on both levels, is sufficient for large-n analysis. Most common applications are international surveys that are starting to approach these sample size requirements. But applications also include within-person designs, regional analyses, students nested within schools, patients nested within hospitals, etc.\n\nStructural equation models combine the power of factor analysis, flushing out measurement error and path analysis which are, in essence, simultaneous regression models considering complex causal structures between our observed variables or factors.\n\nMultilevel structural equation modelling (MLSEM) is a marriage between the two methods in which structures of relationships can be assessed at multiple levels of analysis. While computationally complex, these methods are effectively implemented in a user-friendly way in Mplus.  \n\nIn this course we will go though the most common applications of multilevel structural equation models, with examples in Mplus."},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!M1325=\"\",\"\",ZOZNAM!M1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!N1325=\"\",\"\",ZOZNAM!N1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!O1325=\"\",\"\",ZOZNAM!O1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!P1325=\"\",\"\",ZOZNAM!P1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!Q1325=\"\",\"\",ZOZNAM!Q1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!R1325=\"\",\"\",ZOZNAM!R1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!S1325=\"\",\"\",ZOZNAM!S1325),\"\")","v":""},{"$f":"IF($A1334<>\"\",IF(ZOZNAM!T1325=\"\",\"\",ZOZNAM!T1325),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1326)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1326)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1326)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1326)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1326)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1326)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1326)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1326)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1326)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1326)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1326)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1326)),FALSE))),ZOZNAM!G1326>=$C$9),ZOZNAM!A1326,\"\")","v":"EC306"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!B1326=\"\",\"\",ZOZNAM!B1326),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!C1326=\"\",\"\",ZOZNAM!C1326),\"\")","v":"Structural Equation Modelling: An Introduction"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!D1326=\"\",\"\",ZOZNAM!D1326),\"\")","v":"Leuven, Belgicko"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!E1326=\"\",\"\",ZOZNAM!E1326),\"\")","v":5},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!F1326=\"\",\"\",ZOZNAM!F1326),\"\")","v":5},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!G1326=\"\",\"\",ZOZNAM!G1326),\"\")","v":"2022-02-07"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!H1326=\"\",\"\",ZOZNAM!H1326),\"\")","v":"2022-02-11"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!I1326=\"\",\"\",ZOZNAM!I1326),\"\")","v":"TBA"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!J1326=\"\",\"\",ZOZNAM!J1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!K1326=\"\",\"\",ZOZNAM!K1326),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11333"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!L1326=\"\",\"\",ZOZNAM!L1326),\"\")","v":"This course introduces you to the wondrous world of Structural Equation Modelling (SEM).\nWe will focus on the statistical foundation of this approach, the estimation of SEMs (using the R package Lavaan), and the interpretation of SEM results. Using a mixture of prerecorded lectures, interactive sessions and practical exercise, you will cover topics such as latent variable modelling, direct and indirect effect estimation, multigroup analysis and model fit evaluation."},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!M1326=\"\",\"\",ZOZNAM!M1326),\"\")","v":"3 hours of live teaching per day\n14:00 ꟷ 17:00"},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!N1326=\"\",\"\",ZOZNAM!N1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!O1326=\"\",\"\",ZOZNAM!O1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!P1326=\"\",\"\",ZOZNAM!P1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!Q1326=\"\",\"\",ZOZNAM!Q1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!R1326=\"\",\"\",ZOZNAM!R1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!S1326=\"\",\"\",ZOZNAM!S1326),\"\")","v":""},{"$f":"IF($A1335<>\"\",IF(ZOZNAM!T1326=\"\",\"\",ZOZNAM!T1326),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1345)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1345)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1345)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1345)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1345)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1345)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1345)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1345)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1345)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1345)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1345)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1345)),FALSE))),ZOZNAM!G1345>=$C$9),ZOZNAM!A1345,\"\")","v":"EC325"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!B1345=\"\",\"\",ZOZNAM!B1345),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!C1345=\"\",\"\",ZOZNAM!C1345),\"\")","v":"Panel Data Analysis"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!D1345=\"\",\"\",ZOZNAM!D1345),\"\")","v":"Online"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!E1345=\"\",\"\",ZOZNAM!E1345),\"\")","v":5},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!F1345=\"\",\"\",ZOZNAM!F1345),\"\")","v":5},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!G1345=\"\",\"\",ZOZNAM!G1345),\"\")","v":"2022-02-14"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!H1345=\"\",\"\",ZOZNAM!H1345),\"\")","v":"2022-02-18"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!I1345=\"\",\"\",ZOZNAM!I1345),\"\")","v":"TBA"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!J1345=\"\",\"\",ZOZNAM!J1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!K1345=\"\",\"\",ZOZNAM!K1345),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11335"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!L1345=\"\",\"\",ZOZNAM!L1345),\"\")","v":"This course focuses on panel data models that are estimated with OLS, namely linear models for dependent variables that are continuous or can be reasonably assumed to be continuous.\n\nAlthough the basic concepts and ideas also apply to models designed for binary or ordinal dependent variables such as probit or logit, these models are complicated by maximum likelihood estimation (MLE) and require a different set of foundations.\n\nDue to limited course hours and the complexity of MLE, we won't cover panel data models for dependent variables that are non-continuous, such as fixed effect logit and 2SLS (IV) probit models."},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!M1345=\"\",\"\",ZOZNAM!M1345),\"\")","v":"2 hours of live teaching per day\n09:30 ꟷ 11:30 CET"},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!N1345=\"\",\"\",ZOZNAM!N1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!O1345=\"\",\"\",ZOZNAM!O1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!P1345=\"\",\"\",ZOZNAM!P1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!Q1345=\"\",\"\",ZOZNAM!Q1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!R1345=\"\",\"\",ZOZNAM!R1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!S1345=\"\",\"\",ZOZNAM!S1345),\"\")","v":""},{"$f":"IF($A1354<>\"\",IF(ZOZNAM!T1345=\"\",\"\",ZOZNAM!T1345),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1346)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1346)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1346)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1346)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1346)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1346)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1346)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1346)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1346)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1346)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1346)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1346)),FALSE))),ZOZNAM!G1346>=$C$9),ZOZNAM!A1346,\"\")","v":"EC326"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!B1346=\"\",\"\",ZOZNAM!B1346),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!C1346=\"\",\"\",ZOZNAM!C1346),\"\")","v":"The Statistics of Causal Inference"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!D1346=\"\",\"\",ZOZNAM!D1346),\"\")","v":"Online"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!E1346=\"\",\"\",ZOZNAM!E1346),\"\")","v":5},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!F1346=\"\",\"\",ZOZNAM!F1346),\"\")","v":5},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!G1346=\"\",\"\",ZOZNAM!G1346),\"\")","v":"2022-02-14"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!H1346=\"\",\"\",ZOZNAM!H1346),\"\")","v":"2022-02-18"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!I1346=\"\",\"\",ZOZNAM!I1346),\"\")","v":"TBA"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!J1346=\"\",\"\",ZOZNAM!J1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!K1346=\"\",\"\",ZOZNAM!K1346),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11342"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!L1346=\"\",\"\",ZOZNAM!L1346),\"\")","v":"This course introduces you to the principles, logic and perquisites of causal inference. Using the potential outcomes framework, together with elements from Pearl's Directed-Acyclic-Graph treatment of causality, it aims to familiarise you with design-based approaches to causal inference. We will try to set best practices on how to think about, and discuss, causal effects."},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!M1346=\"\",\"\",ZOZNAM!M1346),\"\")","v":"2 hours of live teaching per day"},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!N1346=\"\",\"\",ZOZNAM!N1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!O1346=\"\",\"\",ZOZNAM!O1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!P1346=\"\",\"\",ZOZNAM!P1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!Q1346=\"\",\"\",ZOZNAM!Q1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!R1346=\"\",\"\",ZOZNAM!R1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!S1346=\"\",\"\",ZOZNAM!S1346),\"\")","v":""},{"$f":"IF($A1355<>\"\",IF(ZOZNAM!T1346=\"\",\"\",ZOZNAM!T1346),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1347)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1347)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1347)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1347)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1347)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1347)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1347)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1347)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1347)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1347)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1347)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1347)),FALSE))),ZOZNAM!G1347>=$C$9),ZOZNAM!A1347,\"\")","v":"EC327"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!B1347=\"\",\"\",ZOZNAM!B1347),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!C1347=\"\",\"\",ZOZNAM!C1347),\"\")","v":"Agent-Based Modelling and Simulation in Political Methodology"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!D1347=\"\",\"\",ZOZNAM!D1347),\"\")","v":"Online"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!E1347=\"\",\"\",ZOZNAM!E1347),\"\")","v":5},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!F1347=\"\",\"\",ZOZNAM!F1347),\"\")","v":5},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!G1347=\"\",\"\",ZOZNAM!G1347),\"\")","v":"2022-02-14"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!H1347=\"\",\"\",ZOZNAM!H1347),\"\")","v":"2022-02-18"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!I1347=\"\",\"\",ZOZNAM!I1347),\"\")","v":"TBA"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!J1347=\"\",\"\",ZOZNAM!J1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!K1347=\"\",\"\",ZOZNAM!K1347),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11429"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!L1347=\"\",\"\",ZOZNAM!L1347),\"\")","v":"This course introduces you to the definition, philosophy, principles, and perquisites of agent-based models and systems (ABMS). Using the NetLogo framework, together with elements from OpenABM model database, it aims to familiarise you with the design and applications of ABMS in political science. We will try to introduce you to the most interesting approaches to ABMS in political science, and provide the best concepts and practices on how to think about and use ABMS in your research."},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!M1347=\"\",\"\",ZOZNAM!M1347),\"\")","v":"2 hours of live teaching per day\n16:00 - 18:00 CET"},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!N1347=\"\",\"\",ZOZNAM!N1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!O1347=\"\",\"\",ZOZNAM!O1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!P1347=\"\",\"\",ZOZNAM!P1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!Q1347=\"\",\"\",ZOZNAM!Q1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!R1347=\"\",\"\",ZOZNAM!R1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!S1347=\"\",\"\",ZOZNAM!S1347),\"\")","v":""},{"$f":"IF($A1356<>\"\",IF(ZOZNAM!T1347=\"\",\"\",ZOZNAM!T1347),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1357)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1357)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1357)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1357)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1357)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1357)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1357)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1357)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1357)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1357)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1357)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1357)),FALSE))),ZOZNAM!G1357>=$C$9),ZOZNAM!A1357,\"\")","v":"GE271"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!B1357=\"\",\"\",ZOZNAM!B1357),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!C1357=\"\",\"\",ZOZNAM!C1357),\"\")","v":"Analyzing PIAAC Data with Structural Equation Modeling in Mplus"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!D1357=\"\",\"\",ZOZNAM!D1357),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!E1357=\"\",\"\",ZOZNAM!E1357),\"\")","v":2},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!F1357=\"\",\"\",ZOZNAM!F1357),\"\")","v":2},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!G1357=\"\",\"\",ZOZNAM!G1357),\"\")","v":"2022-03-22"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!H1357=\"\",\"\",ZOZNAM!H1357),\"\")","v":"2022-03-23"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!I1357=\"\",\"\",ZOZNAM!I1357),\"\")","v":"0 EUR"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!J1357=\"\",\"\",ZOZNAM!J1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!K1357=\"\",\"\",ZOZNAM!K1357),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x13F8EDFC3EB143B7B946C8FDDE2D1BBD"},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!L1357=\"\",\"\",ZOZNAM!L1357),\"\")","v":"Structural equation modeling (SEM) represents a statistical approach to disentangle the relationships among latent and/or manifest variables, across groups, over time, and at different analytical levels. The potential of SEM has been recognized in many areas, including educational sciences, sociology, psychology, and business. This workshop provides an introduction to the principles and procedures of basic and more advanced SEM in the context of the international large-scale assessment PIAAC. Specifically, the following topics are covered: (a) Principles of structural equation modeling (model specification, identification, estimation, and evaluation), (b) Measurement models and confirmatory factor analysis, (c) Measurement invariance testing with few and many groups (including multi-group CFA, multilevel CFA, and the alignment method), and (d) Structural regression and indirect effects models (including multi-group and multilevel SEM).Participants can also present their own research or research ideas using PIAAC data and receive feedback on how to improve the analysis."},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!M1357=\"\",\"\",ZOZNAM!M1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!N1357=\"\",\"\",ZOZNAM!N1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!O1357=\"\",\"\",ZOZNAM!O1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!P1357=\"\",\"\",ZOZNAM!P1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!Q1357=\"\",\"\",ZOZNAM!Q1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!R1357=\"\",\"\",ZOZNAM!R1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!S1357=\"\",\"\",ZOZNAM!S1357),\"\")","v":""},{"$f":"IF($A1366<>\"\",IF(ZOZNAM!T1357=\"\",\"\",ZOZNAM!T1357),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1358)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1358)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1358)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1358)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1358)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1358)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1358)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1358)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1358)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1358)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1358)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1358)),FALSE))),ZOZNAM!G1358>=$C$9),ZOZNAM!A1358,\"\")","v":"GE272"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!B1358=\"\",\"\",ZOZNAM!B1358),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!C1358=\"\",\"\",ZOZNAM!C1358),\"\")","v":"Causal Mediation Analysis"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!D1358=\"\",\"\",ZOZNAM!D1358),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!E1358=\"\",\"\",ZOZNAM!E1358),\"\")","v":2},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!F1358=\"\",\"\",ZOZNAM!F1358),\"\")","v":2},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!G1358=\"\",\"\",ZOZNAM!G1358),\"\")","v":"2022-04-04"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!H1358=\"\",\"\",ZOZNAM!H1358),\"\")","v":"2022-04-05"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!I1358=\"\",\"\",ZOZNAM!I1358),\"\")","v":"600 EUR"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!J1358=\"\",\"\",ZOZNAM!J1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!K1358=\"\",\"\",ZOZNAM!K1358),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x0027C3224B2B49F1BA2E737B0C2431D0"},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!L1358=\"\",\"\",ZOZNAM!L1358),\"\")","v":"This course uses graphical causal models and counterfactual definitions of direct and indirect effects to make transparent the conditions under which mediation analysis yields valid conclusions. In addition to the discussion of classic approaches to mediation the course also introduces modern regression-based methods of causal mediation analysis as well as formal sensitivity analysis. Each section of the course is accompanied by practical exercises, including the estimation of direct and indirect effects in Stata and R. As the course concludes, interested participants will have the opportunity to present their own mediation analysis and discuss the implications of causal mediation analysis for their own research. Alternatively, further topics like multiple mediators, time-varying mediation, or alternative estimation approaches will be discussed."},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!M1358=\"\",\"\",ZOZNAM!M1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!N1358=\"\",\"\",ZOZNAM!N1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!O1358=\"\",\"\",ZOZNAM!O1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!P1358=\"\",\"\",ZOZNAM!P1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!Q1358=\"\",\"\",ZOZNAM!Q1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!R1358=\"\",\"\",ZOZNAM!R1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!S1358=\"\",\"\",ZOZNAM!S1358),\"\")","v":""},{"$f":"IF($A1367<>\"\",IF(ZOZNAM!T1358=\"\",\"\",ZOZNAM!T1358),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1359)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1359)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1359)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1359)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1359)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1359)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1359)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1359)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1359)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1359)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1359)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1359)),FALSE))),ZOZNAM!G1359>=$C$9),ZOZNAM!A1359,\"\")","v":"GE273"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!B1359=\"\",\"\",ZOZNAM!B1359),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!C1359=\"\",\"\",ZOZNAM!C1359),\"\")","v":"Applied Data Visualization"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!D1359=\"\",\"\",ZOZNAM!D1359),\"\")","v":"Online"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!E1359=\"\",\"\",ZOZNAM!E1359),\"\")","v":4},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!F1359=\"\",\"\",ZOZNAM!F1359),\"\")","v":4},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!G1359=\"\",\"\",ZOZNAM!G1359),\"\")","v":"2022-05-03"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!H1359=\"\",\"\",ZOZNAM!H1359),\"\")","v":"2022-05-06"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!I1359=\"\",\"\",ZOZNAM!I1359),\"\")","v":"900 EUR"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!J1359=\"\",\"\",ZOZNAM!J1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!K1359=\"\",\"\",ZOZNAM!K1359),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA289B6B7BFCC4A60AAAF5B188B3BA71E"},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!L1359=\"\",\"\",ZOZNAM!L1359),\"\")","v":"The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings."},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!M1359=\"\",\"\",ZOZNAM!M1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!N1359=\"\",\"\",ZOZNAM!N1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!O1359=\"\",\"\",ZOZNAM!O1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!P1359=\"\",\"\",ZOZNAM!P1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!Q1359=\"\",\"\",ZOZNAM!Q1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!R1359=\"\",\"\",ZOZNAM!R1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!S1359=\"\",\"\",ZOZNAM!S1359),\"\")","v":""},{"$f":"IF($A1368<>\"\",IF(ZOZNAM!T1359=\"\",\"\",ZOZNAM!T1359),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1360)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1360)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1360)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1360)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1360)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1360)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1360)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1360)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1360)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1360)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1360)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1360)),FALSE))),ZOZNAM!G1360>=$C$9),ZOZNAM!A1360,\"\")","v":"GE274"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!B1360=\"\",\"\",ZOZNAM!B1360),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!C1360=\"\",\"\",ZOZNAM!C1360),\"\")","v":"Introduction to Event History Analysis"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!D1360=\"\",\"\",ZOZNAM!D1360),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!E1360=\"\",\"\",ZOZNAM!E1360),\"\")","v":3},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!F1360=\"\",\"\",ZOZNAM!F1360),\"\")","v":3},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!G1360=\"\",\"\",ZOZNAM!G1360),\"\")","v":"2022-05-04"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!H1360=\"\",\"\",ZOZNAM!H1360),\"\")","v":"2022-05-06"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!I1360=\"\",\"\",ZOZNAM!I1360),\"\")","v":"900 EUR"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!J1360=\"\",\"\",ZOZNAM!J1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!K1360=\"\",\"\",ZOZNAM!K1360),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x2216AEF597EB4976B2743C3CA61AF217"},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!L1360=\"\",\"\",ZOZNAM!L1360),\"\")","v":"The workshop will provide a comprehensive methodological and practical introduction to event history analysis. Special attention will be devoted to applications in life course research being concerned with time-dynamic modeling of social processes. After clarifying basic concepts like states, time, event, and censoring, descriptive approaches like life-tables and Kaplan-Meier estimation are discussed. Both continuous-time and discrete-time methods as well as parametric and semi-parametric regression models are introduced. Accounting for time-dependent covariates and time-varying effects are major features of survival models and will be discussed in detail. In addition, the workshop will cover a series of advanced topics like statistical inference with survival methods and survey data, multi-episode data, competing risk models, multilevel survival analysis, comparison of effects across models and groups, as well as effective visualization of model results. Substantial applications from sociological and demographic research will be used for illustration. Moreover, the software package Stata will be used throughout the workshop and exercises will help to deepen the acquired knowledge. Moreover, participants are encouraged to discuss their own work."},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!M1360=\"\",\"\",ZOZNAM!M1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!N1360=\"\",\"\",ZOZNAM!N1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!O1360=\"\",\"\",ZOZNAM!O1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!P1360=\"\",\"\",ZOZNAM!P1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!Q1360=\"\",\"\",ZOZNAM!Q1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!R1360=\"\",\"\",ZOZNAM!R1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!S1360=\"\",\"\",ZOZNAM!S1360),\"\")","v":""},{"$f":"IF($A1369<>\"\",IF(ZOZNAM!T1360=\"\",\"\",ZOZNAM!T1360),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1361)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1361)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1361)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1361)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1361)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1361)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1361)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1361)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1361)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1361)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1361)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1361)),FALSE))),ZOZNAM!G1361>=$C$9),ZOZNAM!A1361,\"\")","v":"GE275"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!B1361=\"\",\"\",ZOZNAM!B1361),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!C1361=\"\",\"\",ZOZNAM!C1361),\"\")","v":"Egocentric Networks: Theory, Methods, and Applications"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!D1361=\"\",\"\",ZOZNAM!D1361),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!E1361=\"\",\"\",ZOZNAM!E1361),\"\")","v":3},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!F1361=\"\",\"\",ZOZNAM!F1361),\"\")","v":3},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!G1361=\"\",\"\",ZOZNAM!G1361),\"\")","v":"2022-05-17"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!H1361=\"\",\"\",ZOZNAM!H1361),\"\")","v":"2022-05-19"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!I1361=\"\",\"\",ZOZNAM!I1361),\"\")","v":"750 EUR"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!J1361=\"\",\"\",ZOZNAM!J1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!K1361=\"\",\"\",ZOZNAM!K1361),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0x41EC3FAAB4EE4AB89D814C3207D4EAF5"},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!L1361=\"\",\"\",ZOZNAM!L1361),\"\")","v":"This workshop introduces personal social network analysis for social scientists. It is meant to be a practical guide for people interested in conducting their own personal social network study. We will first cover the basic concepts of the personal network approach, including common assumptions and theories in social network research. We will further discuss different name generators and name interpreters as well as ways to measure network structure and try out specific personal network software (e.g., EgoNet, Network Canvas). Participants are invited to present and receive feedback on their research ideas on Day 3."},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!M1361=\"\",\"\",ZOZNAM!M1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!N1361=\"\",\"\",ZOZNAM!N1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!O1361=\"\",\"\",ZOZNAM!O1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!P1361=\"\",\"\",ZOZNAM!P1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!Q1361=\"\",\"\",ZOZNAM!Q1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!R1361=\"\",\"\",ZOZNAM!R1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!S1361=\"\",\"\",ZOZNAM!S1361),\"\")","v":""},{"$f":"IF($A1370<>\"\",IF(ZOZNAM!T1361=\"\",\"\",ZOZNAM!T1361),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1362)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1362)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1362)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1362)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1362)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1362)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1362)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1362)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1362)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1362)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1362)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1362)),FALSE))),ZOZNAM!G1362>=$C$9),ZOZNAM!A1362,\"\")","v":"GE276"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!B1362=\"\",\"\",ZOZNAM!B1362),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!C1362=\"\",\"\",ZOZNAM!C1362),\"\")","v":"Data Management, Advanced Programming and Automation using Stata"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!D1362=\"\",\"\",ZOZNAM!D1362),\"\")","v":"Mannheim, Nemecko"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!E1362=\"\",\"\",ZOZNAM!E1362),\"\")","v":2},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!F1362=\"\",\"\",ZOZNAM!F1362),\"\")","v":2},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!G1362=\"\",\"\",ZOZNAM!G1362),\"\")","v":"2022-05-23"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!H1362=\"\",\"\",ZOZNAM!H1362),\"\")","v":"2022-05-24"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!I1362=\"\",\"\",ZOZNAM!I1362),\"\")","v":"600 EUR"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!J1362=\"\",\"\",ZOZNAM!J1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!K1362=\"\",\"\",ZOZNAM!K1362),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xFA9D7E9331744118AA5A38D291A95616"},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!L1362=\"\",\"\",ZOZNAM!L1362),\"\")","v":"During the workshop, participants will learn how to efficiently handle problems of data management with Stata, and how to avoid repetition by automating (and programming) tasks. The workshop is not an introduction to Stata, but will feature “best practice” of Stata usage in order to modify existing do-files (or create new ones) to be reproducible, maintainable, and efficient. The tips and tricks will refer mainly to data preparation and management, but they can also be used for automation of data analysis. The workshop will present some ideas about these topics, but focus on the interactive work where participants shall learn producing efficient Stata syntax by themselves."},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!M1362=\"\",\"\",ZOZNAM!M1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!N1362=\"\",\"\",ZOZNAM!N1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!O1362=\"\",\"\",ZOZNAM!O1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!P1362=\"\",\"\",ZOZNAM!P1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!Q1362=\"\",\"\",ZOZNAM!Q1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!R1362=\"\",\"\",ZOZNAM!R1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!S1362=\"\",\"\",ZOZNAM!S1362),\"\")","v":""},{"$f":"IF($A1371<>\"\",IF(ZOZNAM!T1362=\"\",\"\",ZOZNAM!T1362),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1424)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1424)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1424)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1424)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1424)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1424)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1424)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1424)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1424)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1424)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1424)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1424)),FALSE))),ZOZNAM!G1424>=$C$9),ZOZNAM!A1424,\"\")","v":"AC302"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!B1424=\"\",\"\",ZOZNAM!B1424),\"\")","v":"ACREA CR"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!C1424=\"\",\"\",ZOZNAM!C1424),\"\")","v":"ANALÝZA LATENTNÍCH TŘÍD"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!D1424=\"\",\"\",ZOZNAM!D1424),\"\")","v":"Praha/online"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!E1424=\"\",\"\",ZOZNAM!E1424),\"\")","v":1},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!F1424=\"\",\"\",ZOZNAM!F1424),\"\")","v":1},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!G1424=\"\",\"\",ZOZNAM!G1424),\"\")","v":"2022-06-21"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!H1424=\"\",\"\",ZOZNAM!H1424),\"\")","v":"2022-06-21"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!I1424=\"\",\"\",ZOZNAM!I1424),\"\")","v":"245 EUR + DPH"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!J1424=\"\",\"\",ZOZNAM!J1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!K1424=\"\",\"\",ZOZNAM!K1424),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-latentnich-trid/"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!L1424=\"\",\"\",ZOZNAM!L1424),\"\")","v":"Podobně jako ve faktorové analýze je i v analýze latentních tříd znám kromě exploračního přístupu (snaží se nalézt latentní třídy a jejich význam) také konfirmační přístup (ověřuje, zda je jednou vytvořená typologie vhodná i pro jiné populace nebo pro stejnou populaci po určité době). Díky možnostem softwaru má analýza latentních tříd široké uplatnění a výjimkou nejsou ani aplikace, kdy se výsledná typologie užívá jako vstup pro další analytické metody (například regresní analýzu nebo analýzu rozptylu). Výhodou analýzy latentních tříd (zejména úloh s málo třídami) je snadná interpretace výsledků a jednoduché pojmenování tříd."},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!M1424=\"\",\"\",ZOZNAM!M1424),\"\")","v":"Software: SPSS"},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!N1424=\"\",\"\",ZOZNAM!N1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!O1424=\"\",\"\",ZOZNAM!O1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!P1424=\"\",\"\",ZOZNAM!P1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!Q1424=\"\",\"\",ZOZNAM!Q1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!R1424=\"\",\"\",ZOZNAM!R1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!S1424=\"\",\"\",ZOZNAM!S1424),\"\")","v":""},{"$f":"IF($A1433<>\"\",IF(ZOZNAM!T1424=\"\",\"\",ZOZNAM!T1424),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1425)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1425)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1425)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1425)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1425)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1425)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1425)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1425)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1425)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1425)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1425)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1425)),FALSE))),ZOZNAM!G1425>=$C$9),ZOZNAM!A1425,\"\")","v":"AC303"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!B1425=\"\",\"\",ZOZNAM!B1425),\"\")","v":"ACREA CR"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!C1425=\"\",\"\",ZOZNAM!C1425),\"\")","v":"ANALÝZA KATEGORIZOVANÝCH DAT III - logaritmicko - lineární modely"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!D1425=\"\",\"\",ZOZNAM!D1425),\"\")","v":"Praha/online"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!E1425=\"\",\"\",ZOZNAM!E1425),\"\")","v":1},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!F1425=\"\",\"\",ZOZNAM!F1425),\"\")","v":1},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!G1425=\"\",\"\",ZOZNAM!G1425),\"\")","v":"2022-05-18"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!H1425=\"\",\"\",ZOZNAM!H1425),\"\")","v":"2022-05-18"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!I1425=\"\",\"\",ZOZNAM!I1425),\"\")","v":"245 EUR + DPH"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!J1425=\"\",\"\",ZOZNAM!J1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!K1425=\"\",\"\",ZOZNAM!K1425),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!L1425=\"\",\"\",ZOZNAM!L1425),\"\")","v":"Logaritmicko-lineární modely v kontingenčních tabulkách tvoří systém metod, kterými lze flexibilně formulovat a ověřovat různé hypotézy v tabulkách četností. Modelují se vzájemné souvislosti mezi kategoriemi i vztahy k jedné závislé proměnné. Přístup poskytuje také řešení pro nestandardní situace analýzy dat ve speciálních případech."},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!M1425=\"\",\"\",ZOZNAM!M1425),\"\")","v":"Software: SPSS"},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!N1425=\"\",\"\",ZOZNAM!N1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!O1425=\"\",\"\",ZOZNAM!O1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!P1425=\"\",\"\",ZOZNAM!P1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!Q1425=\"\",\"\",ZOZNAM!Q1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!R1425=\"\",\"\",ZOZNAM!R1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!S1425=\"\",\"\",ZOZNAM!S1425),\"\")","v":""},{"$f":"IF($A1434<>\"\",IF(ZOZNAM!T1425=\"\",\"\",ZOZNAM!T1425),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1426)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1426)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1426)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1426)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1426)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1426)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1426)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1426)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1426)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1426)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1426)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1426)),FALSE))),ZOZNAM!G1426>=$C$9),ZOZNAM!A1426,\"\")","v":"BE008"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!B1426=\"\",\"\",ZOZNAM!B1426),\"\")","v":"Bank of England"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!C1426=\"\",\"\",ZOZNAM!C1426),\"\")","v":"New global challenges amid incomplete and divergent recoveries (konferencia)"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!D1426=\"\",\"\",ZOZNAM!D1426),\"\")","v":"online"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!E1426=\"\",\"\",ZOZNAM!E1426),\"\")","v":2},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!F1426=\"\",\"\",ZOZNAM!F1426),\"\")","v":2},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!G1426=\"\",\"\",ZOZNAM!G1426),\"\")","v":"2022-04-27"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!H1426=\"\",\"\",ZOZNAM!H1426),\"\")","v":"2022-04-28"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!I1426=\"\",\"\",ZOZNAM!I1426),\"\")","v":"0 EUR"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!J1426=\"\",\"\",ZOZNAM!J1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!K1426=\"\",\"\",ZOZNAM!K1426),\"\")","v":"https://www.bankofengland.co.uk/events/2022/april/new-global-challenges-amid-incomplete-and-divergent-recoveries"},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!L1426=\"\",\"\",ZOZNAM!L1426),\"\")","v":"The pandemic continues to pose new challenges for the global economy. Inflation has risen sharply, even as the recoveries in labour markets and output remain incomplete. The elevated inflation partly reflects rising commodity prices and ongoing supply chain disruptions, the duration of which remains highly uncertain. As such, policymakers face difficult trade-offs, including how to best balance multiple objectives amidst substantial uncertainty, and how to communicate clearly their views to limit market disruptions. These challenges are most acute in emerging market economies, to the extent that central bank reputations are less established, recoveries are lagging, and countries are exposed to spillovers from developments and policies elsewhere."},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!M1426=\"\",\"\",ZOZNAM!M1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!N1426=\"\",\"\",ZOZNAM!N1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!O1426=\"\",\"\",ZOZNAM!O1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!P1426=\"\",\"\",ZOZNAM!P1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!Q1426=\"\",\"\",ZOZNAM!Q1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!R1426=\"\",\"\",ZOZNAM!R1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!S1426=\"\",\"\",ZOZNAM!S1426),\"\")","v":""},{"$f":"IF($A1435<>\"\",IF(ZOZNAM!T1426=\"\",\"\",ZOZNAM!T1426),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1427)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1427)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1427)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1427)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1427)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1427)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1427)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1427)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1427)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1427)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1427)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1427)),FALSE))),ZOZNAM!G1427>=$C$9),ZOZNAM!A1427,\"\")","v":"BE009"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!B1427=\"\",\"\",ZOZNAM!B1427),\"\")","v":"Bank of England"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!C1427=\"\",\"\",ZOZNAM!C1427),\"\")","v":"Sovereign Capital Markets in pandemic times (konferencia)"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!D1427=\"\",\"\",ZOZNAM!D1427),\"\")","v":"Londýn/Online"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!E1427=\"\",\"\",ZOZNAM!E1427),\"\")","v":2},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!F1427=\"\",\"\",ZOZNAM!F1427),\"\")","v":2},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!G1427=\"\",\"\",ZOZNAM!G1427),\"\")","v":"2022-04-07"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!H1427=\"\",\"\",ZOZNAM!H1427),\"\")","v":"2022-04-08"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!I1427=\"\",\"\",ZOZNAM!I1427),\"\")","v":"0 EUR"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!J1427=\"\",\"\",ZOZNAM!J1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!K1427=\"\",\"\",ZOZNAM!K1427),\"\")","v":"https://www.bankofengland.co.uk/events/2022/april/sovereign-capital-markets-in-pandemic-times"},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!L1427=\"\",\"\",ZOZNAM!L1427),\"\")","v":"The coronavirus pandemic presented numerous unprecedented challenges to central banks in both industrialized countries and emerging markets. The sudden global recession, the often-interrupted recovery, the displacement of labor, capital, and financial resources all required policy makers to adopt new strategies, often untested, in order to provide liquidity to the markets, reduce the cost of capital, and ultimately limit the impact on the economy --- all the while the pandemic continued to destabilize the pre-existing economic order. These actions raise numerous questions about their rationale and effectiveness as well as about their potential distortions on both Wall Street and Main Street --- from a liquidity glut to excessive risk-taking to volatility ."},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!M1427=\"\",\"\",ZOZNAM!M1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!N1427=\"\",\"\",ZOZNAM!N1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!O1427=\"\",\"\",ZOZNAM!O1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!P1427=\"\",\"\",ZOZNAM!P1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!Q1427=\"\",\"\",ZOZNAM!Q1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!R1427=\"\",\"\",ZOZNAM!R1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!S1427=\"\",\"\",ZOZNAM!S1427),\"\")","v":""},{"$f":"IF($A1436<>\"\",IF(ZOZNAM!T1427=\"\",\"\",ZOZNAM!T1427),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1428)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1428)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1428)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1428)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1428)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1428)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1428)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1428)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1428)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1428)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1428)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1428)),FALSE))),ZOZNAM!G1428>=$C$9),ZOZNAM!A1428,\"\")","v":"CM015"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!B1428=\"\",\"\",ZOZNAM!B1428),\"\")","v":"Cemmap"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!C1428=\"\",\"\",ZOZNAM!C1428),\"\")","v":"Reproducible Econometrics Using R"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!D1428=\"\",\"\",ZOZNAM!D1428),\"\")","v":"TBD"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!E1428=\"\",\"\",ZOZNAM!E1428),\"\")","v":2},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!F1428=\"\",\"\",ZOZNAM!F1428),\"\")","v":2},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!G1428=\"\",\"\",ZOZNAM!G1428),\"\")","v":"2022-04-25"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!H1428=\"\",\"\",ZOZNAM!H1428),\"\")","v":"2022-04-26"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!I1428=\"\",\"\",ZOZNAM!I1428),\"\")","v":"240 GBP"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!J1428=\"\",\"\",ZOZNAM!J1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!K1428=\"\",\"\",ZOZNAM!K1428),\"\")","v":"https://www.cemmap.ac.uk/event/reproducible-econometrics-using-r-2/"},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!L1428=\"\",\"\",ZOZNAM!L1428),\"\")","v":"This course will proceed from a state of zero (assumed) prior knowledge of R (www.r-project.org) and the tools used to conduct modern (read reproducible) research to a state of (hopefully) being conversant in R and being able to conduct modern statistical/econometric research in a unified framework. We will begin with the basics of using R (e.g., “Why use R?”, “How do I read my Stata or Excel data into R?”) then progress to an overview of various statistical methods that form the backbone of modern applied research. We will then introduce tools for reproducible research (R Markdown & RStudio) and touch on using github for version control. Extensive examples will be covered and participants are expected to bring their own computer pre-loaded with all necessary software (i.e., R, RStudio, TeX, github, though those without a computer can use RStudio Cloud via a browser instead). "},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!M1428=\"\",\"\",ZOZNAM!M1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!N1428=\"\",\"\",ZOZNAM!N1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!O1428=\"\",\"\",ZOZNAM!O1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!P1428=\"\",\"\",ZOZNAM!P1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!Q1428=\"\",\"\",ZOZNAM!Q1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!R1428=\"\",\"\",ZOZNAM!R1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!S1428=\"\",\"\",ZOZNAM!S1428),\"\")","v":""},{"$f":"IF($A1437<>\"\",IF(ZOZNAM!T1428=\"\",\"\",ZOZNAM!T1428),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1429)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1429)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1429)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1429)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1429)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1429)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1429)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1429)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1429)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1429)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1429)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1429)),FALSE))),ZOZNAM!G1429>=$C$9),ZOZNAM!A1429,\"\")","v":"CM016"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!B1429=\"\",\"\",ZOZNAM!B1429),\"\")","v":"Cemmap"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!C1429=\"\",\"\",ZOZNAM!C1429),\"\")","v":"Topics in Empirical Industrial Organization"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!D1429=\"\",\"\",ZOZNAM!D1429),\"\")","v":"TBD"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!E1429=\"\",\"\",ZOZNAM!E1429),\"\")","v":2},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!F1429=\"\",\"\",ZOZNAM!F1429),\"\")","v":2},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!G1429=\"\",\"\",ZOZNAM!G1429),\"\")","v":"2022-06-10"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!H1429=\"\",\"\",ZOZNAM!H1429),\"\")","v":"2022-06-11"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!I1429=\"\",\"\",ZOZNAM!I1429),\"\")","v":"200 GBP"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!J1429=\"\",\"\",ZOZNAM!J1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!K1429=\"\",\"\",ZOZNAM!K1429),\"\")","v":"https://www.cemmap.ac.uk/event/topics-in-empirical-industrial-organization/"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!L1429=\"\",\"\",ZOZNAM!L1429),\"\")","v":"Liran Einav is a professor of economics at Stanford University and a research associate in the National Bureau of Economic Research, where he is directing the Industrial Organization Program. Professor Einav’s areas of specialization are industrial organization and applied microeconomics. An important strand of his work is focused on insurance markets, including the development of empirical models of insurance demand and pricing, and empirical analyses of the implications of adverse selection and moral hazard. Much of Professor Einav’s current work is focused on healthcare markets"},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!M1429=\"\",\"\",ZOZNAM!M1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!N1429=\"\",\"\",ZOZNAM!N1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!O1429=\"\",\"\",ZOZNAM!O1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!P1429=\"\",\"\",ZOZNAM!P1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!Q1429=\"\",\"\",ZOZNAM!Q1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!R1429=\"\",\"\",ZOZNAM!R1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!S1429=\"\",\"\",ZOZNAM!S1429),\"\")","v":""},{"$f":"IF($A1438<>\"\",IF(ZOZNAM!T1429=\"\",\"\",ZOZNAM!T1429),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1430)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1430)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1430)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1430)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1430)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1430)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1430)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1430)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1430)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1430)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1430)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1430)),FALSE))),ZOZNAM!G1430>=$C$9),ZOZNAM!A1430,\"\")","v":"CE188"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!B1430=\"\",\"\",ZOZNAM!B1430),\"\")","v":"Center of Excellence in Finance"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!C1430=\"\",\"\",ZOZNAM!C1430),\"\")","v":"Impact Assessment of Structural Reforms for Policy Experts"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!D1430=\"\",\"\",ZOZNAM!D1430),\"\")","v":"Ľubľana/online"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!E1430=\"\",\"\",ZOZNAM!E1430),\"\")","v":3},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!F1430=\"\",\"\",ZOZNAM!F1430),\"\")","v":3},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!G1430=\"\",\"\",ZOZNAM!G1430),\"\")","v":"2022-05-24"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!H1430=\"\",\"\",ZOZNAM!H1430),\"\")","v":"2022-05-26"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!I1430=\"\",\"\",ZOZNAM!I1430),\"\")","v":"0 EUR"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!J1430=\"\",\"\",ZOZNAM!J1430),\"\")","v":"2022-04-26"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!K1430=\"\",\"\",ZOZNAM!K1430),\"\")","v":"https://www.cef-see.org/22-dap02"},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!L1430=\"\",\"\",ZOZNAM!L1430),\"\")","v":"The objective of this event is for policy experts to reach an understanding of the impact channels of their reforms in qualitative terms. Experts will discuss with participants how to link the expected impact of reforms with the identified obstacles and outcome key performance indicators (KPIs). "},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!M1430=\"\",\"\",ZOZNAM!M1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!N1430=\"\",\"\",ZOZNAM!N1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!O1430=\"\",\"\",ZOZNAM!O1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!P1430=\"\",\"\",ZOZNAM!P1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!Q1430=\"\",\"\",ZOZNAM!Q1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!R1430=\"\",\"\",ZOZNAM!R1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!S1430=\"\",\"\",ZOZNAM!S1430),\"\")","v":""},{"$f":"IF($A1439<>\"\",IF(ZOZNAM!T1430=\"\",\"\",ZOZNAM!T1430),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1469)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1469)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1469)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1469)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1469)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1469)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1469)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1469)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1469)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1469)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1469)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1469)),FALSE))),ZOZNAM!G1469>=$C$9),ZOZNAM!A1469,\"\")","v":"SH022"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!B1469=\"\",\"\",ZOZNAM!B1469),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!C1469=\"\",\"\",ZOZNAM!C1469),\"\")","v":"Making sense of troubled healthcare arenas"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!D1469=\"\",\"\",ZOZNAM!D1469),\"\")","v":"Online"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!E1469=\"\",\"\",ZOZNAM!E1469),\"\")","v":2},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!F1469=\"\",\"\",ZOZNAM!F1469),\"\")","v":3},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!G1469=\"\",\"\",ZOZNAM!G1469),\"\")","v":"2022-08-26"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!H1469=\"\",\"\",ZOZNAM!H1469),\"\")","v":"2022-08-28"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!I1469=\"\",\"\",ZOZNAM!I1469),\"\")","v":"300 CHF"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!J1469=\"\",\"\",ZOZNAM!J1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!K1469=\"\",\"\",ZOZNAM!K1469),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cFHS/"},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!L1469=\"\",\"\",ZOZNAM!L1469),\"\")","v":"This course intends to introduce participants to healthcare provision in crisis, with examples and lessons drawn from violent and impoverished settings, misruled states, migrant populations, divided societies, and degraded environments."},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!M1469=\"\",\"\",ZOZNAM!M1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!N1469=\"\",\"\",ZOZNAM!N1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!O1469=\"\",\"\",ZOZNAM!O1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!P1469=\"\",\"\",ZOZNAM!P1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!Q1469=\"\",\"\",ZOZNAM!Q1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!R1469=\"\",\"\",ZOZNAM!R1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!S1469=\"\",\"\",ZOZNAM!S1469),\"\")","v":""},{"$f":"IF($A1478<>\"\",IF(ZOZNAM!T1469=\"\",\"\",ZOZNAM!T1469),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1470)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1470)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1470)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1470)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1470)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1470)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1470)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1470)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1470)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1470)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1470)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1470)),FALSE))),ZOZNAM!G1470>=$C$9),ZOZNAM!A1470,\"\")","v":"SH023"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!B1470=\"\",\"\",ZOZNAM!B1470),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!C1470=\"\",\"\",ZOZNAM!C1470),\"\")","v":"Community-based participatory methods in public health"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!D1470=\"\",\"\",ZOZNAM!D1470),\"\")","v":"Online"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!E1470=\"\",\"\",ZOZNAM!E1470),\"\")","v":3},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!F1470=\"\",\"\",ZOZNAM!F1470),\"\")","v":3},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!G1470=\"\",\"\",ZOZNAM!G1470),\"\")","v":"2022-08-23"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!H1470=\"\",\"\",ZOZNAM!H1470),\"\")","v":"2022-08-25"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!I1470=\"\",\"\",ZOZNAM!I1470),\"\")","v":"800 CHF"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!J1470=\"\",\"\",ZOZNAM!J1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!K1470=\"\",\"\",ZOZNAM!K1470),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cCBPM/"},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!L1470=\"\",\"\",ZOZNAM!L1470),\"\")","v":"This course aims to provide participants with knowledge about the key principles, methods, concepts and techniques of community-based participatory methods and the practical application of CBPM in the context of public health. Participants will learn how CBPM can be applied in the design, implementation and evaluation of public health programmes (i.e. health promotion, prevention of disease and management of chronic illness). It will also facilitate a space of reflection to examine how CBPM can be used to support the response to the Covid-19 pandemic including vaccination efforts and interventions to tackle health inequalities."},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!M1470=\"\",\"\",ZOZNAM!M1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!N1470=\"\",\"\",ZOZNAM!N1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!O1470=\"\",\"\",ZOZNAM!O1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!P1470=\"\",\"\",ZOZNAM!P1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!Q1470=\"\",\"\",ZOZNAM!Q1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!R1470=\"\",\"\",ZOZNAM!R1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!S1470=\"\",\"\",ZOZNAM!S1470),\"\")","v":""},{"$f":"IF($A1479<>\"\",IF(ZOZNAM!T1470=\"\",\"\",ZOZNAM!T1470),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1472)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1472)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1472)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1472)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1472)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1472)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1472)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1472)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1472)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1472)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1472)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1472)),FALSE))),ZOZNAM!G1472>=$C$9),ZOZNAM!A1472,\"\")","v":"SH025"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!B1472=\"\",\"\",ZOZNAM!B1472),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!C1472=\"\",\"\",ZOZNAM!C1472),\"\")","v":"NCD control in a global health perspective: Public health and systems strengthening approaches"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!D1472=\"\",\"\",ZOZNAM!D1472),\"\")","v":"Online"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!E1472=\"\",\"\",ZOZNAM!E1472),\"\")","v":3},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!F1472=\"\",\"\",ZOZNAM!F1472),\"\")","v":3},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!G1472=\"\",\"\",ZOZNAM!G1472),\"\")","v":"2022-08-23"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!H1472=\"\",\"\",ZOZNAM!H1472),\"\")","v":"2022-08-25"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!I1472=\"\",\"\",ZOZNAM!I1472),\"\")","v":"800 CHF"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!J1472=\"\",\"\",ZOZNAM!J1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!K1472=\"\",\"\",ZOZNAM!K1472),\"\")","v":"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cNCD/"},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!L1472=\"\",\"\",ZOZNAM!L1472),\"\")","v":"The course addresses public health strategies to curb NCDs, and changes needed in the health care system, with regards to the most cost-effective, affordable and scalable interventions (“best buys”) and health service strengthening approaches. The respective contributions of multisectoral public health interventions vs. changes needed within the health care system are identified and discussed. The focus is on discussing, exposing and contrasting the respective contributions of public health interventions targeting the whole population (relying largely on non-health actors) and measures to strengthen the health system (involving mainly health care actors and focusing on individuals at risk) toward NCD prevention and control."},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!M1472=\"\",\"\",ZOZNAM!M1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!N1472=\"\",\"\",ZOZNAM!N1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!O1472=\"\",\"\",ZOZNAM!O1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!P1472=\"\",\"\",ZOZNAM!P1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!Q1472=\"\",\"\",ZOZNAM!Q1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!R1472=\"\",\"\",ZOZNAM!R1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!S1472=\"\",\"\",ZOZNAM!S1472),\"\")","v":""},{"$f":"IF($A1481<>\"\",IF(ZOZNAM!T1472=\"\",\"\",ZOZNAM!T1472),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1529)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1529)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1529)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1529)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1529)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1529)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1529)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1529)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1529)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1529)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1529)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1529)),FALSE))),ZOZNAM!G1529>=$C$9),ZOZNAM!A1529,\"\")","v":"OU026"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!B1529=\"\",\"\",ZOZNAM!B1529),\"\")","v":"University of Oxford"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!C1529=\"\",\"\",ZOZNAM!C1529),\"\")","v":"Qualitative Research Methods"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!D1529=\"\",\"\",ZOZNAM!D1529),\"\")","v":"Oxford, Anglicko"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!E1529=\"\",\"\",ZOZNAM!E1529),\"\")","v":5},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!F1529=\"\",\"\",ZOZNAM!F1529),\"\")","v":5},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!G1529=\"\",\"\",ZOZNAM!G1529),\"\")","v":"2022-06-27"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!H1529=\"\",\"\",ZOZNAM!H1529),\"\")","v":"2022-07-01"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!I1529=\"\",\"\",ZOZNAM!I1529),\"\")","v":"2570 GBP"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!J1529=\"\",\"\",ZOZNAM!J1529),\"\")","v":"2022-06-10"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!K1529=\"\",\"\",ZOZNAM!K1529),\"\")","v":"https://www.conted.ox.ac.uk/courses/qualitative-research-methods?code=O21C200B9Y"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!L1529=\"\",\"\",ZOZNAM!L1529),\"\")","v":"This module will provide an introductory overview of the principles and practice of qualitative research. Students will explore how people make sense of their lives, and recognise ways in which qualitative research bridges the gap between scientific evidence and clinical practice by examining the attitudes, beliefs, and preferences of both patients and practitioners. Participants will be introduced to the concepts underpinning qualitative research, learn to collect data using fundamental methods, including observation, interview and focus groups and become familiar with the techniques of thematic qualitative data analysis."},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!M1529=\"\",\"\",ZOZNAM!M1529),\"\")","v":""},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!N1529=\"\",\"\",ZOZNAM!N1529),\"\")","v":"nie"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!O1529=\"\",\"\",ZOZNAM!O1529),\"\")","v":"áno - záverečná práca"},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!P1529=\"\",\"\",ZOZNAM!P1529),\"\")","v":""},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!Q1529=\"\",\"\",ZOZNAM!Q1529),\"\")","v":""},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!R1529=\"\",\"\",ZOZNAM!R1529),\"\")","v":""},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!S1529=\"\",\"\",ZOZNAM!S1529),\"\")","v":""},{"$f":"IF($A1538<>\"\",IF(ZOZNAM!T1529=\"\",\"\",ZOZNAM!T1529),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1530)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1530)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1530)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1530)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1530)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1530)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1530)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1530)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1530)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1530)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1530)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1530)),FALSE))),ZOZNAM!G1530>=$C$9),ZOZNAM!A1530,\"\")","v":"CL039"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!B1530=\"\",\"\",ZOZNAM!B1530),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!C1530=\"\",\"\",ZOZNAM!C1530),\"\")","v":"Data Science and Big Data Analytics (Level 2)"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!D1530=\"\",\"\",ZOZNAM!D1530),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!E1530=\"\",\"\",ZOZNAM!E1530),\"\")","v":15},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!F1530=\"\",\"\",ZOZNAM!F1530),\"\")","v":19},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!G1530=\"\",\"\",ZOZNAM!G1530),\"\")","v":"2022-07-04"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!H1530=\"\",\"\",ZOZNAM!H1530),\"\")","v":"2022-07-22"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!I1530=\"\",\"\",ZOZNAM!I1530),\"\")","v":"2290 GBP"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!J1530=\"\",\"\",ZOZNAM!J1530),\"\")","v":""},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!K1530=\"\",\"\",ZOZNAM!K1530),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/data-science1"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!L1530=\"\",\"\",ZOZNAM!L1530),\"\")","v":"Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world data and answer policy-relevant questions."},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!M1530=\"\",\"\",ZOZNAM!M1530),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!N1530=\"\",\"\",ZOZNAM!N1530),\"\")","v":"nie"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!O1530=\"\",\"\",ZOZNAM!O1530),\"\")","v":"áno"},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!P1530=\"\",\"\",ZOZNAM!P1530),\"\")","v":""},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!Q1530=\"\",\"\",ZOZNAM!Q1530),\"\")","v":""},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!R1530=\"\",\"\",ZOZNAM!R1530),\"\")","v":""},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!S1530=\"\",\"\",ZOZNAM!S1530),\"\")","v":""},{"$f":"IF($A1539<>\"\",IF(ZOZNAM!T1530=\"\",\"\",ZOZNAM!T1530),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1531)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1531)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1531)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1531)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1531)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1531)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1531)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1531)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1531)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1531)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1531)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1531)),FALSE))),ZOZNAM!G1531>=$C$9),ZOZNAM!A1531,\"\")","v":"CL040"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!B1531=\"\",\"\",ZOZNAM!B1531),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!C1531=\"\",\"\",ZOZNAM!C1531),\"\")","v":"Data Science and Big Data Analytics (Level 2)"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!D1531=\"\",\"\",ZOZNAM!D1531),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!E1531=\"\",\"\",ZOZNAM!E1531),\"\")","v":15},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!F1531=\"\",\"\",ZOZNAM!F1531),\"\")","v":19},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!G1531=\"\",\"\",ZOZNAM!G1531),\"\")","v":"2022-07-25"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!H1531=\"\",\"\",ZOZNAM!H1531),\"\")","v":"2022-08-12"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!I1531=\"\",\"\",ZOZNAM!I1531),\"\")","v":"2290 GBP"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!J1531=\"\",\"\",ZOZNAM!J1531),\"\")","v":""},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!K1531=\"\",\"\",ZOZNAM!K1531),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/data-science"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!L1531=\"\",\"\",ZOZNAM!L1531),\"\")","v":"Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world data and answer policy-relevant questions."},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!M1531=\"\",\"\",ZOZNAM!M1531),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!N1531=\"\",\"\",ZOZNAM!N1531),\"\")","v":"nie"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!O1531=\"\",\"\",ZOZNAM!O1531),\"\")","v":"áno"},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!P1531=\"\",\"\",ZOZNAM!P1531),\"\")","v":""},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!Q1531=\"\",\"\",ZOZNAM!Q1531),\"\")","v":""},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!R1531=\"\",\"\",ZOZNAM!R1531),\"\")","v":""},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!S1531=\"\",\"\",ZOZNAM!S1531),\"\")","v":""},{"$f":"IF($A1540<>\"\",IF(ZOZNAM!T1531=\"\",\"\",ZOZNAM!T1531),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1532)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1532)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1532)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1532)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1532)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1532)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1532)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1532)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1532)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1532)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1532)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1532)),FALSE))),ZOZNAM!G1532>=$C$9),ZOZNAM!A1532,\"\")","v":"CL041"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!B1532=\"\",\"\",ZOZNAM!B1532),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!C1532=\"\",\"\",ZOZNAM!C1532),\"\")","v":"Health Data Science and Data Analytics in Healthcare (Level 2)"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!D1532=\"\",\"\",ZOZNAM!D1532),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!E1532=\"\",\"\",ZOZNAM!E1532),\"\")","v":15},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!F1532=\"\",\"\",ZOZNAM!F1532),\"\")","v":19},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!G1532=\"\",\"\",ZOZNAM!G1532),\"\")","v":"2022-07-25"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!H1532=\"\",\"\",ZOZNAM!H1532),\"\")","v":"2022-08-12"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!I1532=\"\",\"\",ZOZNAM!I1532),\"\")","v":"2290 GBP"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!J1532=\"\",\"\",ZOZNAM!J1532),\"\")","v":""},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!K1532=\"\",\"\",ZOZNAM!K1532),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/health-data-science"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!L1532=\"\",\"\",ZOZNAM!L1532),\"\")","v":"Health Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming in the area of healthcare and biomedicine. One of the main challenges for businesses, research institutes, and policy makers when using big health data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world health data.\n\n"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!M1532=\"\",\"\",ZOZNAM!M1532),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!N1532=\"\",\"\",ZOZNAM!N1532),\"\")","v":"nie"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!O1532=\"\",\"\",ZOZNAM!O1532),\"\")","v":"áno"},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!P1532=\"\",\"\",ZOZNAM!P1532),\"\")","v":""},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!Q1532=\"\",\"\",ZOZNAM!Q1532),\"\")","v":""},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!R1532=\"\",\"\",ZOZNAM!R1532),\"\")","v":""},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!S1532=\"\",\"\",ZOZNAM!S1532),\"\")","v":""},{"$f":"IF($A1541<>\"\",IF(ZOZNAM!T1532=\"\",\"\",ZOZNAM!T1532),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1533)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1533)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1533)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1533)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1533)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1533)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1533)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1533)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1533)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1533)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1533)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1533)),FALSE))),ZOZNAM!G1533>=$C$9),ZOZNAM!A1533,\"\")","v":"CL042"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!B1533=\"\",\"\",ZOZNAM!B1533),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!C1533=\"\",\"\",ZOZNAM!C1533),\"\")","v":"Statistics with R and RStudio\n"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!D1533=\"\",\"\",ZOZNAM!D1533),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!E1533=\"\",\"\",ZOZNAM!E1533),\"\")","v":15},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!F1533=\"\",\"\",ZOZNAM!F1533),\"\")","v":19},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!G1533=\"\",\"\",ZOZNAM!G1533),\"\")","v":"2022-07-25"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!H1533=\"\",\"\",ZOZNAM!H1533),\"\")","v":"2022-08-12"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!I1533=\"\",\"\",ZOZNAM!I1533),\"\")","v":"2290 GBP"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!J1533=\"\",\"\",ZOZNAM!J1533),\"\")","v":""},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!K1533=\"\",\"\",ZOZNAM!K1533),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/statistics-rstudio"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!L1533=\"\",\"\",ZOZNAM!L1533),\"\")","v":"We are exposed to statistical data on a daily basis in the form of opinion polls, economic forecasts, reports on the effect of diet and lifestyle on life expectancy and disease risk, debates over the evidence for climate change, among others. This module introduces statistics and the free software R/RStudio to students with no previous knowledge of mathematics beyond high school level. The module also assesses the uses, misuses and limitations of statistical methods. Topics range from basic descriptive statistics to more advanced topics including multivariate analysis, logistic regression, and model optimisation. As additional skills, students are introduced to professional-standard plotting resources, basic programming functions in R, and the user-friendly RStudio interface."},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!M1533=\"\",\"\",ZOZNAM!M1533),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!N1533=\"\",\"\",ZOZNAM!N1533),\"\")","v":"nie"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!O1533=\"\",\"\",ZOZNAM!O1533),\"\")","v":"áno"},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!P1533=\"\",\"\",ZOZNAM!P1533),\"\")","v":""},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!Q1533=\"\",\"\",ZOZNAM!Q1533),\"\")","v":""},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!R1533=\"\",\"\",ZOZNAM!R1533),\"\")","v":""},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!S1533=\"\",\"\",ZOZNAM!S1533),\"\")","v":""},{"$f":"IF($A1542<>\"\",IF(ZOZNAM!T1533=\"\",\"\",ZOZNAM!T1533),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1534)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1534)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1534)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1534)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1534)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1534)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1534)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1534)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1534)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1534)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1534)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1534)),FALSE))),ZOZNAM!G1534>=$C$9),ZOZNAM!A1534,\"\")","v":"CL043"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!B1534=\"\",\"\",ZOZNAM!B1534),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!C1534=\"\",\"\",ZOZNAM!C1534),\"\")","v":"Principles of Microeconomics"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!D1534=\"\",\"\",ZOZNAM!D1534),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!E1534=\"\",\"\",ZOZNAM!E1534),\"\")","v":15},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!F1534=\"\",\"\",ZOZNAM!F1534),\"\")","v":19},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!G1534=\"\",\"\",ZOZNAM!G1534),\"\")","v":"2022-07-04"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!H1534=\"\",\"\",ZOZNAM!H1534),\"\")","v":"2022-07-22"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!I1534=\"\",\"\",ZOZNAM!I1534),\"\")","v":"2290 GBP"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!J1534=\"\",\"\",ZOZNAM!J1534),\"\")","v":""},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!K1534=\"\",\"\",ZOZNAM!K1534),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/principles-microeconomics"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!L1534=\"\",\"\",ZOZNAM!L1534),\"\")","v":"This module provides an introduction to the concepts that underlie modern economic analysis. The module will begin with the concept of opportunity cost, proceeding to optimal decision-making at the level of an individual consumer. Similar analysis will describe the optimal behaviour of an individual firm, distinguishing competitive and non-competitive market structures. The theoretical coverage will be supplemented with real-life examples, including a visit to one of the London's markets (e.g. London Metal Exchange) where students can observe a live application of the theoretical concepts."},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!M1534=\"\",\"\",ZOZNAM!M1534),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!N1534=\"\",\"\",ZOZNAM!N1534),\"\")","v":"nie"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!O1534=\"\",\"\",ZOZNAM!O1534),\"\")","v":"áno"},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!P1534=\"\",\"\",ZOZNAM!P1534),\"\")","v":""},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!Q1534=\"\",\"\",ZOZNAM!Q1534),\"\")","v":""},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!R1534=\"\",\"\",ZOZNAM!R1534),\"\")","v":""},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!S1534=\"\",\"\",ZOZNAM!S1534),\"\")","v":""},{"$f":"IF($A1543<>\"\",IF(ZOZNAM!T1534=\"\",\"\",ZOZNAM!T1534),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1535)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1535)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1535)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1535)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1535)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1535)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1535)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1535)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1535)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1535)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1535)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1535)),FALSE))),ZOZNAM!G1535>=$C$9),ZOZNAM!A1535,\"\")","v":"CL044"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!B1535=\"\",\"\",ZOZNAM!B1535),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!C1535=\"\",\"\",ZOZNAM!C1535),\"\")","v":"Principles of Macroeconomics"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!D1535=\"\",\"\",ZOZNAM!D1535),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!E1535=\"\",\"\",ZOZNAM!E1535),\"\")","v":15},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!F1535=\"\",\"\",ZOZNAM!F1535),\"\")","v":19},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!G1535=\"\",\"\",ZOZNAM!G1535),\"\")","v":"2022-07-25"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!H1535=\"\",\"\",ZOZNAM!H1535),\"\")","v":"2022-08-12"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!I1535=\"\",\"\",ZOZNAM!I1535),\"\")","v":"2290 GBP"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!J1535=\"\",\"\",ZOZNAM!J1535),\"\")","v":""},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!K1535=\"\",\"\",ZOZNAM!K1535),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/principles-macroeconomics"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!L1535=\"\",\"\",ZOZNAM!L1535),\"\")","v":"This module in introductory macroeconomics enables further formal study. Students understand models and apply them to problems."},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!M1535=\"\",\"\",ZOZNAM!M1535),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!N1535=\"\",\"\",ZOZNAM!N1535),\"\")","v":"nie"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!O1535=\"\",\"\",ZOZNAM!O1535),\"\")","v":"áno"},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!P1535=\"\",\"\",ZOZNAM!P1535),\"\")","v":""},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!Q1535=\"\",\"\",ZOZNAM!Q1535),\"\")","v":""},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!R1535=\"\",\"\",ZOZNAM!R1535),\"\")","v":""},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!S1535=\"\",\"\",ZOZNAM!S1535),\"\")","v":""},{"$f":"IF($A1544<>\"\",IF(ZOZNAM!T1535=\"\",\"\",ZOZNAM!T1535),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1536)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1536)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1536)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1536)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1536)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1536)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1536)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1536)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1536)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1536)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1536)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1536)),FALSE))),ZOZNAM!G1536>=$C$9),ZOZNAM!A1536,\"\")","v":"CL045"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!B1536=\"\",\"\",ZOZNAM!B1536),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!C1536=\"\",\"\",ZOZNAM!C1536),\"\")","v":"Urban Environmental Politics"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!D1536=\"\",\"\",ZOZNAM!D1536),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!E1536=\"\",\"\",ZOZNAM!E1536),\"\")","v":15},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!F1536=\"\",\"\",ZOZNAM!F1536),\"\")","v":19},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!G1536=\"\",\"\",ZOZNAM!G1536),\"\")","v":"2022-07-04"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!H1536=\"\",\"\",ZOZNAM!H1536),\"\")","v":"2022-07-22"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!I1536=\"\",\"\",ZOZNAM!I1536),\"\")","v":"2290 GBP"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!J1536=\"\",\"\",ZOZNAM!J1536),\"\")","v":""},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!K1536=\"\",\"\",ZOZNAM!K1536),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/urban-environmental-politics"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!L1536=\"\",\"\",ZOZNAM!L1536),\"\")","v":"As the planet’s land use and human population become increasingly urban, environmental problems and politics of cities are evermore critical for improving socio-environmental relationships and outcomes. Thus, this module will explore the urban political conflicts of environmental issues like climate change, air pollution, water quality/quantity, resource and energy use, waste disposal, and more. Using a range of case studies from around the world and beginning with some of the contested material flows of resources that both transform and comprise cities, the module then will move to address politicized ideas of nature, conservation, and habitats in the city while concluding with discussions of human agency and responses to the uneven social impacts of urban environmental problems."},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!M1536=\"\",\"\",ZOZNAM!M1536),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!N1536=\"\",\"\",ZOZNAM!N1536),\"\")","v":"nie"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!O1536=\"\",\"\",ZOZNAM!O1536),\"\")","v":"áno- esej"},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!P1536=\"\",\"\",ZOZNAM!P1536),\"\")","v":""},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!Q1536=\"\",\"\",ZOZNAM!Q1536),\"\")","v":""},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!R1536=\"\",\"\",ZOZNAM!R1536),\"\")","v":""},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!S1536=\"\",\"\",ZOZNAM!S1536),\"\")","v":""},{"$f":"IF($A1545<>\"\",IF(ZOZNAM!T1536=\"\",\"\",ZOZNAM!T1536),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1537)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1537)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1537)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1537)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1537)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1537)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1537)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1537)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1537)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1537)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1537)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1537)),FALSE))),ZOZNAM!G1537>=$C$9),ZOZNAM!A1537,\"\")","v":"CL046"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!B1537=\"\",\"\",ZOZNAM!B1537),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!C1537=\"\",\"\",ZOZNAM!C1537),\"\")","v":"Health Data Science and Data Analytics in Healthcare (Level 2)"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!D1537=\"\",\"\",ZOZNAM!D1537),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!E1537=\"\",\"\",ZOZNAM!E1537),\"\")","v":15},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!F1537=\"\",\"\",ZOZNAM!F1537),\"\")","v":19},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!G1537=\"\",\"\",ZOZNAM!G1537),\"\")","v":"2022-07-25"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!H1537=\"\",\"\",ZOZNAM!H1537),\"\")","v":"2022-08-12"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!I1537=\"\",\"\",ZOZNAM!I1537),\"\")","v":"2290 GBP"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!J1537=\"\",\"\",ZOZNAM!J1537),\"\")","v":""},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!K1537=\"\",\"\",ZOZNAM!K1537),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/health-data-science"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!L1537=\"\",\"\",ZOZNAM!L1537),\"\")","v":"Health Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming in the area of healthcare and biomedicine. One of the main challenges for businesses, research institutes, and policy makers when using big health data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world health data."},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!M1537=\"\",\"\",ZOZNAM!M1537),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!N1537=\"\",\"\",ZOZNAM!N1537),\"\")","v":"nie"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!O1537=\"\",\"\",ZOZNAM!O1537),\"\")","v":"áno"},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!P1537=\"\",\"\",ZOZNAM!P1537),\"\")","v":""},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!Q1537=\"\",\"\",ZOZNAM!Q1537),\"\")","v":""},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!R1537=\"\",\"\",ZOZNAM!R1537),\"\")","v":""},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!S1537=\"\",\"\",ZOZNAM!S1537),\"\")","v":""},{"$f":"IF($A1546<>\"\",IF(ZOZNAM!T1537=\"\",\"\",ZOZNAM!T1537),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1538)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1538)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1538)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1538)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1538)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1538)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1538)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1538)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1538)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1538)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1538)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1538)),FALSE))),ZOZNAM!G1538>=$C$9),ZOZNAM!A1538,\"\")","v":"CL047"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!B1538=\"\",\"\",ZOZNAM!B1538),\"\")","v":"University College London (UCL)"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!C1538=\"\",\"\",ZOZNAM!C1538),\"\")","v":"Making Policy in International Development"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!D1538=\"\",\"\",ZOZNAM!D1538),\"\")","v":"Londýn, Anglicko"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!E1538=\"\",\"\",ZOZNAM!E1538),\"\")","v":15},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!F1538=\"\",\"\",ZOZNAM!F1538),\"\")","v":19},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!G1538=\"\",\"\",ZOZNAM!G1538),\"\")","v":"2022-07-04"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!H1538=\"\",\"\",ZOZNAM!H1538),\"\")","v":"2022-07-22"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!I1538=\"\",\"\",ZOZNAM!I1538),\"\")","v":"2290 GBP"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!J1538=\"\",\"\",ZOZNAM!J1538),\"\")","v":""},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!K1538=\"\",\"\",ZOZNAM!K1538),\"\")","v":"https://www.ucl.ac.uk/prospective-students/summer-school/modules/making-policy-international-development"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!L1538=\"\",\"\",ZOZNAM!L1538),\"\")","v":"This module deals with the empirical reality, theory, and current governance problems of development, poverty, and inequality. Specifically, throughout the course we will investigate the influence of colonialism, state capacity, regime type, war and conflict, accountability, social structures, and corruption on development. This course engages with both economic theory regarding development and political science research that highlights the challenges to implementing the policies that would lead to economic development. We take these theories and use to them to then think about and develop research-informed policies that promote development.\n\n"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!M1538=\"\",\"\",ZOZNAM!M1538),\"\")","v":"2 sessions = 4000 GBP"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!N1538=\"\",\"\",ZOZNAM!N1538),\"\")","v":"nie"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!O1538=\"\",\"\",ZOZNAM!O1538),\"\")","v":"áno- esej"},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!P1538=\"\",\"\",ZOZNAM!P1538),\"\")","v":""},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!Q1538=\"\",\"\",ZOZNAM!Q1538),\"\")","v":""},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!R1538=\"\",\"\",ZOZNAM!R1538),\"\")","v":""},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!S1538=\"\",\"\",ZOZNAM!S1538),\"\")","v":""},{"$f":"IF($A1547<>\"\",IF(ZOZNAM!T1538=\"\",\"\",ZOZNAM!T1538),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1577)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1577)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1577)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1577)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1577)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1577)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1577)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1577)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1577)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1577)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1577)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1577)),FALSE))),ZOZNAM!G1577>=$C$9),ZOZNAM!A1577,\"\")","v":"UT351"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!B1577=\"\",\"\",ZOZNAM!B1577),\"\")","v":"Utrecht University"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!C1577=\"\",\"\",ZOZNAM!C1577),\"\")","v":"Survey Research: Design, Implementation and Data Processing"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!D1577=\"\",\"\",ZOZNAM!D1577),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!E1577=\"\",\"\",ZOZNAM!E1577),\"\")","v":5},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!F1577=\"\",\"\",ZOZNAM!F1577),\"\")","v":5},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!G1577=\"\",\"\",ZOZNAM!G1577),\"\")","v":"2022-08-15"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!H1577=\"\",\"\",ZOZNAM!H1577),\"\")","v":"2022-08-19"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!I1577=\"\",\"\",ZOZNAM!I1577),\"\")","v":"720 EUR"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!J1577=\"\",\"\",ZOZNAM!J1577),\"\")","v":"2022-08-01"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!K1577=\"\",\"\",ZOZNAM!K1577),\"\")","v":"https://utrechtsummerschool.nl/courses/social-sciences/survey-research-design-implementation-and-data-processing"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!L1577=\"\",\"\",ZOZNAM!L1577),\"\")","v":"This course covers the essentials of modern survey methodology and analysis and is organized by the Department of Methodology and Statistics in collaboration with Statistics Netherlands (CBS). Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, and measurement error, including questionnaire and mode effects), while balancing logistics and survey costs. Topics include state of the art survey design, questionnaire construction and testing, modes of and devices for data collection, data processing and survey analysis techniques, such as nonresponse analysis and scale and index construction and the use of administrative data. Best practice guidelines for phases of the survey from design to implementation, analysis and reporting will be discussed. International comparative and longitudinal surveys are included."},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!M1577=\"\",\"\",ZOZNAM!M1577),\"\")","v":"200 EUR bývanie"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!N1577=\"\",\"\",ZOZNAM!N1577),\"\")","v":"nie"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!O1577=\"\",\"\",ZOZNAM!O1577),\"\")","v":"nie"},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!P1577=\"\",\"\",ZOZNAM!P1577),\"\")","v":""},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!Q1577=\"\",\"\",ZOZNAM!Q1577),\"\")","v":""},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!R1577=\"\",\"\",ZOZNAM!R1577),\"\")","v":""},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!S1577=\"\",\"\",ZOZNAM!S1577),\"\")","v":""},{"$f":"IF($A1586<>\"\",IF(ZOZNAM!T1577=\"\",\"\",ZOZNAM!T1577),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1579)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1579)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1579)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1579)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1579)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1579)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1579)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1579)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1579)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1579)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1579)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1579)),FALSE))),ZOZNAM!G1579>=$C$9),ZOZNAM!A1579,\"\")","v":"UT353"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!B1579=\"\",\"\",ZOZNAM!B1579),\"\")","v":"Utrecht University"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!C1579=\"\",\"\",ZOZNAM!C1579),\"\")","v":"Advanced Survey Design"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!D1579=\"\",\"\",ZOZNAM!D1579),\"\")","v":"Utrecht, Holandsko"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!E1579=\"\",\"\",ZOZNAM!E1579),\"\")","v":5},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!F1579=\"\",\"\",ZOZNAM!F1579),\"\")","v":5},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!G1579=\"\",\"\",ZOZNAM!G1579),\"\")","v":"2022-08-29"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!H1579=\"\",\"\",ZOZNAM!H1579),\"\")","v":"2022-09-02"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!I1579=\"\",\"\",ZOZNAM!I1579),\"\")","v":"720 EUR"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!J1579=\"\",\"\",ZOZNAM!J1579),\"\")","v":"2022-08-15"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!K1579=\"\",\"\",ZOZNAM!K1579),\"\")","v":"https://utrechtsummerschool.nl/courses/social-sciences/advanced-survey-design"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!L1579=\"\",\"\",ZOZNAM!L1579),\"\")","v":"This course in ‘advanced survey design’ takes students beyond the introductory courses and will discuss the state of the art in both the design and the analysis of survey data. We discuss new ways to analyse modern surveys, including non-probability survey designs, and surveys conducted via apps. Course participants must be proficient working with the statistical software package R at the level of at least knowing Tidy and multivariate regression in R."},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!M1579=\"\",\"\",ZOZNAM!M1579),\"\")","v":""},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!N1579=\"\",\"\",ZOZNAM!N1579),\"\")","v":"nie"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!O1579=\"\",\"\",ZOZNAM!O1579),\"\")","v":"nie"},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!P1579=\"\",\"\",ZOZNAM!P1579),\"\")","v":""},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!Q1579=\"\",\"\",ZOZNAM!Q1579),\"\")","v":""},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!R1579=\"\",\"\",ZOZNAM!R1579),\"\")","v":""},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!S1579=\"\",\"\",ZOZNAM!S1579),\"\")","v":""},{"$f":"IF($A1588<>\"\",IF(ZOZNAM!T1579=\"\",\"\",ZOZNAM!T1579),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1581)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1581)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1581)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1581)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1581)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1581)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1581)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1581)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1581)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1581)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1581)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1581)),FALSE))),ZOZNAM!G1581>=$C$9),ZOZNAM!A1581,\"\")","v":"UZ007"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!B1581=\"\",\"\",ZOZNAM!B1581),\"\")","v":"University of Zürich"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!C1581=\"\",\"\",ZOZNAM!C1581),\"\")","v":"R4All: An introduction to the basics of R"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!D1581=\"\",\"\",ZOZNAM!D1581),\"\")","v":"Zurich, Švajčiarsko"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!E1581=\"\",\"\",ZOZNAM!E1581),\"\")","v":2},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!F1581=\"\",\"\",ZOZNAM!F1581),\"\")","v":2},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!G1581=\"\",\"\",ZOZNAM!G1581),\"\")","v":"2022-05-12"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!H1581=\"\",\"\",ZOZNAM!H1581),\"\")","v":"2022-05-13"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!I1581=\"\",\"\",ZOZNAM!I1581),\"\")","v":"800 CHF"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!J1581=\"\",\"\",ZOZNAM!J1581),\"\")","v":"2022-05-10"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!K1581=\"\",\"\",ZOZNAM!K1581),\"\")","v":"https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=1523"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!L1581=\"\",\"\",ZOZNAM!L1581),\"\")","v":"This course gives an easy and comfortable boost up what is often thought to be a steep initial learning curve. R4All has been providing this course to researchers across the globe for over ten years, giving the time and experience to design and finesse the course structure and content. We use and teach a modern approach to working in R, which focuses on simple, intuitive, and coherent tools (centred on the “tidyverse”)."},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!M1581=\"\",\"\",ZOZNAM!M1581),\"\")","v":""},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!N1581=\"\",\"\",ZOZNAM!N1581),\"\")","v":"nie"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!O1581=\"\",\"\",ZOZNAM!O1581),\"\")","v":"nie"},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!P1581=\"\",\"\",ZOZNAM!P1581),\"\")","v":""},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!Q1581=\"\",\"\",ZOZNAM!Q1581),\"\")","v":""},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!R1581=\"\",\"\",ZOZNAM!R1581),\"\")","v":""},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!S1581=\"\",\"\",ZOZNAM!S1581),\"\")","v":""},{"$f":"IF($A1590<>\"\",IF(ZOZNAM!T1581=\"\",\"\",ZOZNAM!T1581),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1582)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1582)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1582)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1582)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1582)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1582)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1582)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1582)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1582)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1582)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1582)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1582)),FALSE))),ZOZNAM!G1582>=$C$9),ZOZNAM!A1582,\"\")","v":"UZ008"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!B1582=\"\",\"\",ZOZNAM!B1582),\"\")","v":"University of Zürich"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!C1582=\"\",\"\",ZOZNAM!C1582),\"\")","v":"Questionnaires: from Creation to Evaluation"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!D1582=\"\",\"\",ZOZNAM!D1582),\"\")","v":"Zurich, Švajčiarsko"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!E1582=\"\",\"\",ZOZNAM!E1582),\"\")","v":2},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!F1582=\"\",\"\",ZOZNAM!F1582),\"\")","v":2},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!G1582=\"\",\"\",ZOZNAM!G1582),\"\")","v":"2022-05-19"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!H1582=\"\",\"\",ZOZNAM!H1582),\"\")","v":"2022-05-20"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!I1582=\"\",\"\",ZOZNAM!I1582),\"\")","v":"800 CHF"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!J1582=\"\",\"\",ZOZNAM!J1582),\"\")","v":"2022-05-17"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!K1582=\"\",\"\",ZOZNAM!K1582),\"\")","v":"https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=1540"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!L1582=\"\",\"\",ZOZNAM!L1582),\"\")","v":" This course explains the basics of scientific questionnaire construction on the basis of three rules for good design practice: Every question and every answer option must be understood by the researcher and the interviewees in the exact same way (Rule of uniform interpretation); respondents must neither purposefully nor unwittingly be directed to a ‘correct’ response by priming, answer formatting, or other cues and information supplied prior or during the interview (Rule of no prompting); and the burden for the interviewee should beto retrieve the truest response, not to try understand the questions and procedure for responding, or to try to hold out through the interview (Rule of minimizing burden). "},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!M1582=\"\",\"\",ZOZNAM!M1582),\"\")","v":""},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!N1582=\"\",\"\",ZOZNAM!N1582),\"\")","v":"nie"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!O1582=\"\",\"\",ZOZNAM!O1582),\"\")","v":"nie"},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!P1582=\"\",\"\",ZOZNAM!P1582),\"\")","v":""},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!Q1582=\"\",\"\",ZOZNAM!Q1582),\"\")","v":""},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!R1582=\"\",\"\",ZOZNAM!R1582),\"\")","v":""},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!S1582=\"\",\"\",ZOZNAM!S1582),\"\")","v":""},{"$f":"IF($A1591<>\"\",IF(ZOZNAM!T1582=\"\",\"\",ZOZNAM!T1582),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1583)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1583)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1583)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1583)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1583)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1583)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1583)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1583)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1583)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1583)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1583)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1583)),FALSE))),ZOZNAM!G1583>=$C$9),ZOZNAM!A1583,\"\")","v":"UZ009"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!B1583=\"\",\"\",ZOZNAM!B1583),\"\")","v":"University of Zürich"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!C1583=\"\",\"\",ZOZNAM!C1583),\"\")","v":"Standard and Advanced Methods for Meta-Analysis with R"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!D1583=\"\",\"\",ZOZNAM!D1583),\"\")","v":"Zurich, Švajčiarsko"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!E1583=\"\",\"\",ZOZNAM!E1583),\"\")","v":2},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!F1583=\"\",\"\",ZOZNAM!F1583),\"\")","v":2},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!G1583=\"\",\"\",ZOZNAM!G1583),\"\")","v":"2022-09-08"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!H1583=\"\",\"\",ZOZNAM!H1583),\"\")","v":"2022-09-09"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!I1583=\"\",\"\",ZOZNAM!I1583),\"\")","v":"800 CHF"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!J1583=\"\",\"\",ZOZNAM!J1583),\"\")","v":"2022-09-06"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!K1583=\"\",\"\",ZOZNAM!K1583),\"\")","v":"https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=1828"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!L1583=\"\",\"\",ZOZNAM!L1583),\"\")","v":"Meta-analysis encompasses an array of statistical methods for aggregating and comparing the results from related studies in a systematic manner. The focus of this workshop is on standard and some advanced methods for analyzing meta analytic data. We will start by looking at methods for quantifying the results from individual studies included in a meta-analysis in terms of various effect size or outcome measures (e.g., standardized mean differences, risk/odds ratios, correlation coefficients). We will then delve into methods for combining the observed outcomes (i.e., via equal- and random-effects models) and for examining whether the outcomes depend on the characteristics of the studies from which they were derived (i.e., via meta-regression and subgrouping)."},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!M1583=\"\",\"\",ZOZNAM!M1583),\"\")","v":""},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!N1583=\"\",\"\",ZOZNAM!N1583),\"\")","v":"nie"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!O1583=\"\",\"\",ZOZNAM!O1583),\"\")","v":"nie"},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!P1583=\"\",\"\",ZOZNAM!P1583),\"\")","v":""},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!Q1583=\"\",\"\",ZOZNAM!Q1583),\"\")","v":""},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!R1583=\"\",\"\",ZOZNAM!R1583),\"\")","v":""},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!S1583=\"\",\"\",ZOZNAM!S1583),\"\")","v":""},{"$f":"IF($A1592<>\"\",IF(ZOZNAM!T1583=\"\",\"\",ZOZNAM!T1583),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1584)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1584)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1584)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1584)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1584)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1584)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1584)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1584)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1584)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1584)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1584)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1584)),FALSE))),ZOZNAM!G1584>=$C$9),ZOZNAM!A1584,\"\")","v":"UZ010"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!B1584=\"\",\"\",ZOZNAM!B1584),\"\")","v":"University of Zürich"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!C1584=\"\",\"\",ZOZNAM!C1584),\"\")","v":"Climate Change Finance"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!D1584=\"\",\"\",ZOZNAM!D1584),\"\")","v":"Zurich, Švajčiarsko/online"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!E1584=\"\",\"\",ZOZNAM!E1584),\"\")","v":2},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!F1584=\"\",\"\",ZOZNAM!F1584),\"\")","v":2},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!G1584=\"\",\"\",ZOZNAM!G1584),\"\")","v":"2022-09-26"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!H1584=\"\",\"\",ZOZNAM!H1584),\"\")","v":"2022-09-27"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!I1584=\"\",\"\",ZOZNAM!I1584),\"\")","v":"2300 CHF"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!J1584=\"\",\"\",ZOZNAM!J1584),\"\")","v":"2022-09-01"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!K1584=\"\",\"\",ZOZNAM!K1584),\"\")","v":"https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/climate-change-finance.html"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!L1584=\"\",\"\",ZOZNAM!L1584),\"\")","v":"The relevance of climate change for the financial sector is becoming increasingly visible. This course gives participants an overview of the mechanisms of climate change models and metrics and discusses how climate risks can translate into financial risks and how the financial sector can react to these challenges. In addition the course includes a fully online case that is related to climate change finance where Clean Energy Funds are investigated. The necessary background information to evaluate the chances and risks of some investment products are provided. Furthermore, you have the opportunity to work on your programming skills with a gentle introduction to python."},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!M1584=\"\",\"\",ZOZNAM!M1584),\"\")","v":""},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!N1584=\"\",\"\",ZOZNAM!N1584),\"\")","v":"nie"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!O1584=\"\",\"\",ZOZNAM!O1584),\"\")","v":"nie"},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!P1584=\"\",\"\",ZOZNAM!P1584),\"\")","v":""},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!Q1584=\"\",\"\",ZOZNAM!Q1584),\"\")","v":""},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!R1584=\"\",\"\",ZOZNAM!R1584),\"\")","v":""},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!S1584=\"\",\"\",ZOZNAM!S1584),\"\")","v":""},{"$f":"IF($A1593<>\"\",IF(ZOZNAM!T1584=\"\",\"\",ZOZNAM!T1584),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1585)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1585)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1585)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1585)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1585)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1585)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1585)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1585)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1585)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1585)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1585)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1585)),FALSE))),ZOZNAM!G1585>=$C$9),ZOZNAM!A1585,\"\")","v":"UZ011"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!B1585=\"\",\"\",ZOZNAM!B1585),\"\")","v":"University of Zürich"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!C1585=\"\",\"\",ZOZNAM!C1585),\"\")","v":"Microfinance - Introduction"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!D1585=\"\",\"\",ZOZNAM!D1585),\"\")","v":"Zurich, Švajčiarsko/online"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!E1585=\"\",\"\",ZOZNAM!E1585),\"\")","v":1},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!F1585=\"\",\"\",ZOZNAM!F1585),\"\")","v":1},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!G1585=\"\",\"\",ZOZNAM!G1585),\"\")","v":"2022-06-13"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!H1585=\"\",\"\",ZOZNAM!H1585),\"\")","v":"2022-06-13"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!I1585=\"\",\"\",ZOZNAM!I1585),\"\")","v":"800 CHF"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!J1585=\"\",\"\",ZOZNAM!J1585),\"\")","v":"2022-05-13"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!K1585=\"\",\"\",ZOZNAM!K1585),\"\")","v":"https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/microfinance-introduction.html"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!L1585=\"\",\"\",ZOZNAM!L1585),\"\")","v":"This seminar introduces the pioneering field of impact investments, investing in microfinance, and the financial inclusion of underbanked populations in developing economies, along the entire investment value chain."},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!M1585=\"\",\"\",ZOZNAM!M1585),\"\")","v":""},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!N1585=\"\",\"\",ZOZNAM!N1585),\"\")","v":"nie "},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!O1585=\"\",\"\",ZOZNAM!O1585),\"\")","v":"áno"},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!P1585=\"\",\"\",ZOZNAM!P1585),\"\")","v":""},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!Q1585=\"\",\"\",ZOZNAM!Q1585),\"\")","v":""},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!R1585=\"\",\"\",ZOZNAM!R1585),\"\")","v":""},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!S1585=\"\",\"\",ZOZNAM!S1585),\"\")","v":""},{"$f":"IF($A1594<>\"\",IF(ZOZNAM!T1585=\"\",\"\",ZOZNAM!T1585),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1586)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1586)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1586)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1586)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1586)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1586)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1586)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1586)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1586)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1586)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1586)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1586)),FALSE))),ZOZNAM!G1586>=$C$9),ZOZNAM!A1586,\"\")","v":"UZ012"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!B1586=\"\",\"\",ZOZNAM!B1586),\"\")","v":"University of Zürich"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!C1586=\"\",\"\",ZOZNAM!C1586),\"\")","v":"Microfinance - State of the Art"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!D1586=\"\",\"\",ZOZNAM!D1586),\"\")","v":"Zurich, Švajčiarsko/online"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!E1586=\"\",\"\",ZOZNAM!E1586),\"\")","v":2},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!F1586=\"\",\"\",ZOZNAM!F1586),\"\")","v":2},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!G1586=\"\",\"\",ZOZNAM!G1586),\"\")","v":"2022-06-14"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!H1586=\"\",\"\",ZOZNAM!H1586),\"\")","v":"2022-06-15"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!I1586=\"\",\"\",ZOZNAM!I1586),\"\")","v":"1700 CHF"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!J1586=\"\",\"\",ZOZNAM!J1586),\"\")","v":"2022-05-14"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!K1586=\"\",\"\",ZOZNAM!K1586),\"\")","v":"https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/microfinance-state-of-the-art.html"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!L1586=\"\",\"\",ZOZNAM!L1586),\"\")","v":"Building on the course “Microfinance—Introduction”, this seminar conveys the skills necessary for analyzing investment opportunities and understanding investment strategies, risk mitigation, and new developments in investments in financial inclusion."},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!M1586=\"\",\"\",ZOZNAM!M1586),\"\")","v":""},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!N1586=\"\",\"\",ZOZNAM!N1586),\"\")","v":"nie"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!O1586=\"\",\"\",ZOZNAM!O1586),\"\")","v":"nie"},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!P1586=\"\",\"\",ZOZNAM!P1586),\"\")","v":""},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!Q1586=\"\",\"\",ZOZNAM!Q1586),\"\")","v":""},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!R1586=\"\",\"\",ZOZNAM!R1586),\"\")","v":""},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!S1586=\"\",\"\",ZOZNAM!S1586),\"\")","v":""},{"$f":"IF($A1595<>\"\",IF(ZOZNAM!T1586=\"\",\"\",ZOZNAM!T1586),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1588)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1588)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1588)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1588)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1588)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1588)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1588)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1588)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1588)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1588)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1588)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1588)),FALSE))),ZOZNAM!G1588>=$C$9),ZOZNAM!A1588,\"\")","v":"AR002"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!B1588=\"\",\"\",ZOZNAM!B1588),\"\")","v":"Aarhus University"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!C1588=\"\",\"\",ZOZNAM!C1588),\"\")","v":"Energy and Environmental Sustainability in Economic Policy"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!D1588=\"\",\"\",ZOZNAM!D1588),\"\")","v":"Aarhus, Dánsko"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!E1588=\"\",\"\",ZOZNAM!E1588),\"\")","v":15},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!F1588=\"\",\"\",ZOZNAM!F1588),\"\")","v":19},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!G1588=\"\",\"\",ZOZNAM!G1588),\"\")","v":"2022-07-25"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!H1588=\"\",\"\",ZOZNAM!H1588),\"\")","v":"2022-08-05"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!I1588=\"\",\"\",ZOZNAM!I1588),\"\")","v":"346 EUR"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!J1588=\"\",\"\",ZOZNAM!J1588),\"\")","v":"2022-03-21"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!K1588=\"\",\"\",ZOZNAM!K1588),\"\")","v":"https://international.au.dk/education/admissions/summeruniversity/course/EnergyandEnvironmentalSustainability"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!L1588=\"\",\"\",ZOZNAM!L1588),\"\")","v":"This course focuses on policies to manage energy resources in a world constrained by finite natural resources and global climate change. It equips students with basic knowledge of sustainable energy and environmental topics and calculation methods, so that students can combine this knowledge with their skills in economics in order to address environmental sustainability issues at different scales – firm, national and global level. "},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!M1588=\"\",\"\",ZOZNAM!M1588),\"\")","v":""},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!N1588=\"\",\"\",ZOZNAM!N1588),\"\")","v":"nie"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!O1588=\"\",\"\",ZOZNAM!O1588),\"\")","v":"áno"},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!P1588=\"\",\"\",ZOZNAM!P1588),\"\")","v":""},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!Q1588=\"\",\"\",ZOZNAM!Q1588),\"\")","v":""},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!R1588=\"\",\"\",ZOZNAM!R1588),\"\")","v":""},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!S1588=\"\",\"\",ZOZNAM!S1588),\"\")","v":""},{"$f":"IF($A1597<>\"\",IF(ZOZNAM!T1588=\"\",\"\",ZOZNAM!T1588),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1594)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1594)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1594)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1594)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1594)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1594)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1594)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1594)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1594)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1594)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1594)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1594)),FALSE))),ZOZNAM!G1594>=$C$9),ZOZNAM!A1594,\"\")","v":"RU007"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!B1594=\"\",\"\",ZOZNAM!B1594),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!C1594=\"\",\"\",ZOZNAM!C1594),\"\")","v":"Complexity Methods for Behavioural Science: A Toolbox for Studying Change"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!D1594=\"\",\"\",ZOZNAM!D1594),\"\")","v":"Nijmegene, Holandsko"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!E1594=\"\",\"\",ZOZNAM!E1594),\"\")","v":5},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!F1594=\"\",\"\",ZOZNAM!F1594),\"\")","v":5},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!G1594=\"\",\"\",ZOZNAM!G1594),\"\")","v":"2022-07-11"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!H1594=\"\",\"\",ZOZNAM!H1594),\"\")","v":"2022-07-15"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!I1594=\"\",\"\",ZOZNAM!I1594),\"\")","v":"600 EUR"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!J1594=\"\",\"\",ZOZNAM!J1594),\"\")","v":"2022-06-01"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!K1594=\"\",\"\",ZOZNAM!K1594),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2022/complexity-methods-behavioural-science-toolbox/"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!L1594=\"\",\"\",ZOZNAM!L1594),\"\")","v":"This course will discuss techniques that allow for the study of human behaviour from the perspective of the Complexity Sciences, specifically, Complex Adaptive Systems. Contrary to what the term “complex” might suggest, complexity research is often about finding simple models/explanations that are able to describe a wide range of qualitatively different behavioural phenomena. “Complex” generally refers to the object of study: Complex systems are composed of many constituent parts that interact with one another across many different temporal and spatial scales to generate behaviour at the level of the system as a whole, in complex systems “everything is interacting with everything”. The idea behind many methods for studying the dynamics of complex systems is to exploit this fact and quantify the degree of interdependence, periodicity, nonlinearity, context sensitivity or resistance to perturbation (resilience) of system behaviour."},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!M1594=\"\",\"\",ZOZNAM!M1594),\"\")","v":"Early bird: 540 EUR pred 1.4."},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!N1594=\"\",\"\",ZOZNAM!N1594),\"\")","v":"nie"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!O1594=\"\",\"\",ZOZNAM!O1594),\"\")","v":"nie"},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!P1594=\"\",\"\",ZOZNAM!P1594),\"\")","v":""},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!Q1594=\"\",\"\",ZOZNAM!Q1594),\"\")","v":""},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!R1594=\"\",\"\",ZOZNAM!R1594),\"\")","v":""},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!S1594=\"\",\"\",ZOZNAM!S1594),\"\")","v":""},{"$f":"IF($A1603<>\"\",IF(ZOZNAM!T1594=\"\",\"\",ZOZNAM!T1594),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1595)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1595)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1595)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1595)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1595)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1595)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1595)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1595)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1595)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1595)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1595)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1595)),FALSE))),ZOZNAM!G1595>=$C$9),ZOZNAM!A1595,\"\")","v":"RU008"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!B1595=\"\",\"\",ZOZNAM!B1595),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!C1595=\"\",\"\",ZOZNAM!C1595),\"\")","v":"Experiments in Behavioural Economics: Methodology and Applications"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!D1595=\"\",\"\",ZOZNAM!D1595),\"\")","v":"Nijmegene, Holandsko"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!E1595=\"\",\"\",ZOZNAM!E1595),\"\")","v":5},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!F1595=\"\",\"\",ZOZNAM!F1595),\"\")","v":5},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!G1595=\"\",\"\",ZOZNAM!G1595),\"\")","v":"2022-08-08"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!H1595=\"\",\"\",ZOZNAM!H1595),\"\")","v":"2022-08-12"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!I1595=\"\",\"\",ZOZNAM!I1595),\"\")","v":"600 EUR"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!J1595=\"\",\"\",ZOZNAM!J1595),\"\")","v":"2022-07-01"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!K1595=\"\",\"\",ZOZNAM!K1595),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2022/experiments-behavioural-economics-methodology/"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!L1595=\"\",\"\",ZOZNAM!L1595),\"\")","v":"During the suggested course we will reconcile theory and practice: we will see how mental and emotional filters shape the choice people make personally and as a group within experimental setup and via social networks. This will be done in a form of game lab experiments and analysis of experimental results. You will be given appropriate methodology and in the end of the course you will design your own experiment aimed at suggestions in public policy or business strategy."},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!M1595=\"\",\"\",ZOZNAM!M1595),\"\")","v":"Early bird: 540 EUR pred 1.4."},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!N1595=\"\",\"\",ZOZNAM!N1595),\"\")","v":"nie"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!O1595=\"\",\"\",ZOZNAM!O1595),\"\")","v":"nie"},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!P1595=\"\",\"\",ZOZNAM!P1595),\"\")","v":""},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!Q1595=\"\",\"\",ZOZNAM!Q1595),\"\")","v":""},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!R1595=\"\",\"\",ZOZNAM!R1595),\"\")","v":""},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!S1595=\"\",\"\",ZOZNAM!S1595),\"\")","v":""},{"$f":"IF($A1604<>\"\",IF(ZOZNAM!T1595=\"\",\"\",ZOZNAM!T1595),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1596)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1596)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1596)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1596)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1596)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1596)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1596)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1596)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1596)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1596)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1596)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1596)),FALSE))),ZOZNAM!G1596>=$C$9),ZOZNAM!A1596,\"\")","v":"RU009"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!B1596=\"\",\"\",ZOZNAM!B1596),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!C1596=\"\",\"\",ZOZNAM!C1596),\"\")","v":"Introduction to Data Science with R and Rstudio for the Social Sciences"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!D1596=\"\",\"\",ZOZNAM!D1596),\"\")","v":"Nijmegene, Holandsko"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!E1596=\"\",\"\",ZOZNAM!E1596),\"\")","v":5},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!F1596=\"\",\"\",ZOZNAM!F1596),\"\")","v":5},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!G1596=\"\",\"\",ZOZNAM!G1596),\"\")","v":"2022-07-04"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!H1596=\"\",\"\",ZOZNAM!H1596),\"\")","v":"2022-07-08"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!I1596=\"\",\"\",ZOZNAM!I1596),\"\")","v":"500 EUR"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!J1596=\"\",\"\",ZOZNAM!J1596),\"\")","v":"2022-06-01"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!K1596=\"\",\"\",ZOZNAM!K1596),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2022/introduction-data-science-rstudio-social-sciences/"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!L1596=\"\",\"\",ZOZNAM!L1596),\"\")","v":"To be able to understand quantitative data we need tools of high quality and, if possible, for free. R and Rstudio are open source, free and multi-platform software applications for descriptive analysis, predictive, and causal analysis, and are increasingly adopted software tools for Data Science in academics, and businesses (e.g. Microsoft, Google). R also provides numerous tools for publication-ready visualizations and publications of research results. As such, R and Rstudio are very versatile"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!M1596=\"\",\"\",ZOZNAM!M1596),\"\")","v":"Early bird 450 EUR pred 1.4."},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!N1596=\"\",\"\",ZOZNAM!N1596),\"\")","v":"nie"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!O1596=\"\",\"\",ZOZNAM!O1596),\"\")","v":"nie"},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!P1596=\"\",\"\",ZOZNAM!P1596),\"\")","v":""},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!Q1596=\"\",\"\",ZOZNAM!Q1596),\"\")","v":""},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!R1596=\"\",\"\",ZOZNAM!R1596),\"\")","v":""},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!S1596=\"\",\"\",ZOZNAM!S1596),\"\")","v":""},{"$f":"IF($A1605<>\"\",IF(ZOZNAM!T1596=\"\",\"\",ZOZNAM!T1596),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1597)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1597)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1597)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1597)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1597)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1597)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1597)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1597)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1597)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1597)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1597)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1597)),FALSE))),ZOZNAM!G1597>=$C$9),ZOZNAM!A1597,\"\")","v":"RU010"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!B1597=\"\",\"\",ZOZNAM!B1597),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!C1597=\"\",\"\",ZOZNAM!C1597),\"\")","v":"Quantifying Uncertainty: Prediction and Inverse Problems"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!D1597=\"\",\"\",ZOZNAM!D1597),\"\")","v":"Nijmegene, Holandsko"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!E1597=\"\",\"\",ZOZNAM!E1597),\"\")","v":5},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!F1597=\"\",\"\",ZOZNAM!F1597),\"\")","v":5},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!G1597=\"\",\"\",ZOZNAM!G1597),\"\")","v":"2022-08-08"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!H1597=\"\",\"\",ZOZNAM!H1597),\"\")","v":"2022-08-12"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!I1597=\"\",\"\",ZOZNAM!I1597),\"\")","v":"325 EUR"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!J1597=\"\",\"\",ZOZNAM!J1597),\"\")","v":"2022-07-01"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!K1597=\"\",\"\",ZOZNAM!K1597),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2022/quantifying-uncertainty-prediction-inverse/"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!L1597=\"\",\"\",ZOZNAM!L1597),\"\")","v":"This course will first provide an introduction to uncertainty quantification and then it will address some advanced techniques. It will be divided in two parts. In the first three days, we will look at methods to study the effect of uncertainties on some quantities of interest in a physical system, the so-called propagation of uncertainty."},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!M1597=\"\",\"\",ZOZNAM!M1597),\"\")","v":"Early bird: 293 EUR pred 1.4."},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!N1597=\"\",\"\",ZOZNAM!N1597),\"\")","v":"nie"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!O1597=\"\",\"\",ZOZNAM!O1597),\"\")","v":"nie"},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!P1597=\"\",\"\",ZOZNAM!P1597),\"\")","v":""},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!Q1597=\"\",\"\",ZOZNAM!Q1597),\"\")","v":""},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!R1597=\"\",\"\",ZOZNAM!R1597),\"\")","v":""},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!S1597=\"\",\"\",ZOZNAM!S1597),\"\")","v":""},{"$f":"IF($A1606<>\"\",IF(ZOZNAM!T1597=\"\",\"\",ZOZNAM!T1597),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1598)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1598)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1598)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1598)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1598)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1598)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1598)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1598)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1598)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1598)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1598)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1598)),FALSE))),ZOZNAM!G1598>=$C$9),ZOZNAM!A1598,\"\")","v":"RU011"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!B1598=\"\",\"\",ZOZNAM!B1598),\"\")","v":"Radboud Universiteit Nijmegen"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!C1598=\"\",\"\",ZOZNAM!C1598),\"\")","v":"Social Research Methods: Advanced Applied Qualitative Comparative Analysis (QCA)"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!D1598=\"\",\"\",ZOZNAM!D1598),\"\")","v":"Nijmegene, Holandsko"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!E1598=\"\",\"\",ZOZNAM!E1598),\"\")","v":5},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!F1598=\"\",\"\",ZOZNAM!F1598),\"\")","v":5},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!G1598=\"\",\"\",ZOZNAM!G1598),\"\")","v":"2022-06-27"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!H1598=\"\",\"\",ZOZNAM!H1598),\"\")","v":"2022-07-01"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!I1598=\"\",\"\",ZOZNAM!I1598),\"\")","v":"575 EUR"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!J1598=\"\",\"\",ZOZNAM!J1598),\"\")","v":"2022-05-01"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!K1598=\"\",\"\",ZOZNAM!K1598),\"\")","v":"https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-advanced-applied/"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!L1598=\"\",\"\",ZOZNAM!L1598),\"\")","v":"The central aim of the course is to enable participants to put in practice state-of-the-art QCA empirical research. Apart from learning how to apply QCA in the best possible way, discussions in class will address from a set-theoretic point of view general methodological issues, such as robustness tests, theory evaluation, case selection strategies, or the role of time and temporality in descriptive and causal inference."},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!M1598=\"\",\"\",ZOZNAM!M1598),\"\")","v":"Early bird 518 EUR pred 1.4."},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!N1598=\"\",\"\",ZOZNAM!N1598),\"\")","v":"nie"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!O1598=\"\",\"\",ZOZNAM!O1598),\"\")","v":"nie"},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!P1598=\"\",\"\",ZOZNAM!P1598),\"\")","v":""},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!Q1598=\"\",\"\",ZOZNAM!Q1598),\"\")","v":""},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!R1598=\"\",\"\",ZOZNAM!R1598),\"\")","v":""},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!S1598=\"\",\"\",ZOZNAM!S1598),\"\")","v":""},{"$f":"IF($A1607<>\"\",IF(ZOZNAM!T1598=\"\",\"\",ZOZNAM!T1598),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1624)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1624)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1624)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1624)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1624)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1624)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1624)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1624)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1624)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1624)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1624)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1624)),FALSE))),ZOZNAM!G1624>=$C$9),ZOZNAM!A1624,\"\")","v":"BR001"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!B1624=\"\",\"\",ZOZNAM!B1624),\"\")","v":"University of Birmingham"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!C1624=\"\",\"\",ZOZNAM!C1624),\"\")","v":"Mathematical Finance & Financial Time Series Analysis"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!D1624=\"\",\"\",ZOZNAM!D1624),\"\")","v":"Birmingham, Anglicko"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!E1624=\"\",\"\",ZOZNAM!E1624),\"\")","v":15},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!F1624=\"\",\"\",ZOZNAM!F1624),\"\")","v":21},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!G1624=\"\",\"\",ZOZNAM!G1624),\"\")","v":"2022-07-17"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!H1624=\"\",\"\",ZOZNAM!H1624),\"\")","v":"2022-08-06"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!I1624=\"\",\"\",ZOZNAM!I1624),\"\")","v":"2750 GBP"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!J1624=\"\",\"\",ZOZNAM!J1624),\"\")","v":"2022-04-12"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!K1624=\"\",\"\",ZOZNAM!K1624),\"\")","v":"https://www.birmingham.ac.uk/international/birmingham-international-summer-school/programmes/mathematical-finance.aspx?utm_medium=cpc&utm_source=google&utm_content=search&utm_campaign=crunch-17082-2021-international-biss#CourseDetailsTab"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!L1624=\"\",\"\",ZOZNAM!L1624),\"\")","v":"The programme covers the fundamental knowledge in financial engineering, which is a highly specialised and rapidly growing area. You will be able to explore the computational skills as well as the underlying mathematical and statistical theory to prepare for a career on the computational end of quantitative finance. The programme is both technical and pragmatic. In Mathematical Finance, you will first learn to examine the financial derivatives using a continuous-time approach, then analyse a range of discrete time financial models and investment models. In the 3rd week of the program, you will start the econometric modelling of financial time series. You will learn various methods of fitting linear and non-linear models to time series data, statistical validation and their use such as forecasting and simulation using the statistical package R."},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!M1624=\"\",\"\",ZOZNAM!M1624),\"\")","v":""},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!N1624=\"\",\"\",ZOZNAM!N1624),\"\")","v":"áno"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!O1624=\"\",\"\",ZOZNAM!O1624),\"\")","v":"áno"},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!P1624=\"\",\"\",ZOZNAM!P1624),\"\")","v":""},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!Q1624=\"\",\"\",ZOZNAM!Q1624),\"\")","v":""},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!R1624=\"\",\"\",ZOZNAM!R1624),\"\")","v":""},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!S1624=\"\",\"\",ZOZNAM!S1624),\"\")","v":""},{"$f":"IF($A1633<>\"\",IF(ZOZNAM!T1624=\"\",\"\",ZOZNAM!T1624),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1625)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1625)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1625)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1625)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1625)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1625)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1625)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1625)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1625)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1625)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1625)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1625)),FALSE))),ZOZNAM!G1625>=$C$9),ZOZNAM!A1625,\"\")","v":"GT001"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!B1625=\"\",\"\",ZOZNAM!B1625),\"\")","v":"University of Gothenburg"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!C1625=\"\",\"\",ZOZNAM!C1625),\"\")","v":"Praxis symposium IV: Higher education in post-pandemic times – (re)orienting transformation through praxis"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!D1625=\"\",\"\",ZOZNAM!D1625),\"\")","v":"Göteborg, Švédsko"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!E1625=\"\",\"\",ZOZNAM!E1625),\"\")","v":3},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!F1625=\"\",\"\",ZOZNAM!F1625),\"\")","v":3},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!G1625=\"\",\"\",ZOZNAM!G1625),\"\")","v":"2022-05-16"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!H1625=\"\",\"\",ZOZNAM!H1625),\"\")","v":"2022-05-18"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!I1625=\"\",\"\",ZOZNAM!I1625),\"\")","v":""},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!J1625=\"\",\"\",ZOZNAM!J1625),\"\")","v":"2022-04-01"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!K1625=\"\",\"\",ZOZNAM!K1625),\"\")","v":"https://www.gu.se/en/education-special-education/our-research/praxis-symposium-iv-higher-education-in-post-pandemic-times-reorienting-transformation-through-praxis"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!L1625=\"\",\"\",ZOZNAM!L1625),\"\")","v":"On May 16-18 2022 the University of Gothenburg will host Praxis Symposium IV. The event, previously organized and held at the university of Borås, is now in its fourth edition. The Praxis symposium has become an important meeting for academics and other professionals that are interested in higher education and the challenges and contradictions that characterize academic work and responsibility in turbulent times. The symposium is organized in collaboration with the University of Borås and will take place at the Faculty of Education, University of Gothenburg, but will also be offered as a hybrid event."},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!M1625=\"\",\"\",ZOZNAM!M1625),\"\")","v":""},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!N1625=\"\",\"\",ZOZNAM!N1625),\"\")","v":"nie"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!O1625=\"\",\"\",ZOZNAM!O1625),\"\")","v":"nie"},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!P1625=\"\",\"\",ZOZNAM!P1625),\"\")","v":""},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!Q1625=\"\",\"\",ZOZNAM!Q1625),\"\")","v":""},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!R1625=\"\",\"\",ZOZNAM!R1625),\"\")","v":""},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!S1625=\"\",\"\",ZOZNAM!S1625),\"\")","v":""},{"$f":"IF($A1634<>\"\",IF(ZOZNAM!T1625=\"\",\"\",ZOZNAM!T1625),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1626)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1626)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1626)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1626)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1626)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1626)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1626)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1626)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1626)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1626)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1626)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1626)),FALSE))),ZOZNAM!G1626>=$C$9),ZOZNAM!A1626,\"\")","v":"UL001"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!B1626=\"\",\"\",ZOZNAM!B1626),\"\")","v":"University of Lausanne"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!C1626=\"\",\"\",ZOZNAM!C1626),\"\")","v":"Bayesian Methods in Health Economics"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!D1626=\"\",\"\",ZOZNAM!D1626),\"\")","v":"Lausanne, Švajčiarsko"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!E1626=\"\",\"\",ZOZNAM!E1626),\"\")","v":5},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!F1626=\"\",\"\",ZOZNAM!F1626),\"\")","v":5},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!G1626=\"\",\"\",ZOZNAM!G1626),\"\")","v":"2022-06-20"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!H1626=\"\",\"\",ZOZNAM!H1626),\"\")","v":"2022-06-24"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!I1626=\"\",\"\",ZOZNAM!I1626),\"\")","v":"1500 CHF"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!J1626=\"\",\"\",ZOZNAM!J1626),\"\")","v":"2022-05-01"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!K1626=\"\",\"\",ZOZNAM!K1626),\"\")","v":"https://wp.unil.ch/summerschools/courses/health-economics/"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!L1626=\"\",\"\",ZOZNAM!L1626),\"\")","v":"The course aims at providing an introduction to Bayesian analysis and Markov Chain Monte Carlo (MCMC) methods using R and MCMC sampling software (such as OpenBUGS and JAGS), as applied to cost-effectiveness analysis and typical models used in health economic evaluations. We will also focus on more recent methods for Probabilistic Sensitivity Analysis including Value of Information calculations. As such, it is intended for health economists, statisticians, and decision modellers interested in the practice of Bayesian modelling and will be based on a mixture of lectures and computer practicals. The emphasis will be on examples of applied analysis: software and code to carry out the analyses will be provided."},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!M1626=\"\",\"\",ZOZNAM!M1626),\"\")","v":""},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!N1626=\"\",\"\",ZOZNAM!N1626),\"\")","v":"nie"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!O1626=\"\",\"\",ZOZNAM!O1626),\"\")","v":"nie"},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!P1626=\"\",\"\",ZOZNAM!P1626),\"\")","v":""},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!Q1626=\"\",\"\",ZOZNAM!Q1626),\"\")","v":""},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!R1626=\"\",\"\",ZOZNAM!R1626),\"\")","v":""},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!S1626=\"\",\"\",ZOZNAM!S1626),\"\")","v":""},{"$f":"IF($A1635<>\"\",IF(ZOZNAM!T1626=\"\",\"\",ZOZNAM!T1626),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1627)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1627)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1627)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1627)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1627)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1627)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1627)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1627)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1627)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1627)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1627)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1627)),FALSE))),ZOZNAM!G1627>=$C$9),ZOZNAM!A1627,\"\")","v":"UW001"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!B1627=\"\",\"\",ZOZNAM!B1627),\"\")","v":"University of Warwick "},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!C1627=\"\",\"\",ZOZNAM!C1627),\"\")","v":"Behavioural Economics"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!D1627=\"\",\"\",ZOZNAM!D1627),\"\")","v":"Warwick, Anglicko"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!E1627=\"\",\"\",ZOZNAM!E1627),\"\")","v":15},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!F1627=\"\",\"\",ZOZNAM!F1627),\"\")","v":21},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!G1627=\"\",\"\",ZOZNAM!G1627),\"\")","v":"2022-07-17"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!H1627=\"\",\"\",ZOZNAM!H1627),\"\")","v":"2022-08-06"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!I1627=\"\",\"\",ZOZNAM!I1627),\"\")","v":"3100 GBP"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!J1627=\"\",\"\",ZOZNAM!J1627),\"\")","v":"2022-05-31"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!K1627=\"\",\"\",ZOZNAM!K1627),\"\")","v":"https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/behavioural/#syllabus"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!L1627=\"\",\"\",ZOZNAM!L1627),\"\")","v":"In this course, we will consider the traditional theories and models of economics and analyse how behavioural economics begins to move away from these models, by relaxing traditional assumptions. By doing this, behavioural economics looks to explain how agents actually behave in practice and what factors can sometimes explain seemingly irrational behaviour.\n\n"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!M1627=\"\",\"\",ZOZNAM!M1627),\"\")","v":"Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!N1627=\"\",\"\",ZOZNAM!N1627),\"\")","v":"nie"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!O1627=\"\",\"\",ZOZNAM!O1627),\"\")","v":"áno - dobrovoľná"},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!P1627=\"\",\"\",ZOZNAM!P1627),\"\")","v":""},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!Q1627=\"\",\"\",ZOZNAM!Q1627),\"\")","v":""},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!R1627=\"\",\"\",ZOZNAM!R1627),\"\")","v":""},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!S1627=\"\",\"\",ZOZNAM!S1627),\"\")","v":""},{"$f":"IF($A1636<>\"\",IF(ZOZNAM!T1627=\"\",\"\",ZOZNAM!T1627),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1628)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1628)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1628)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1628)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1628)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1628)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1628)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1628)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1628)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1628)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1628)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1628)),FALSE))),ZOZNAM!G1628>=$C$9),ZOZNAM!A1628,\"\")","v":"UW002"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!B1628=\"\",\"\",ZOZNAM!B1628),\"\")","v":"University of Warwick "},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!C1628=\"\",\"\",ZOZNAM!C1628),\"\")","v":"Game Theory and Competitive Strategy"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!D1628=\"\",\"\",ZOZNAM!D1628),\"\")","v":"Warwick, Anglicko"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!E1628=\"\",\"\",ZOZNAM!E1628),\"\")","v":15},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!F1628=\"\",\"\",ZOZNAM!F1628),\"\")","v":21},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!G1628=\"\",\"\",ZOZNAM!G1628),\"\")","v":"2022-07-17"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!H1628=\"\",\"\",ZOZNAM!H1628),\"\")","v":"2022-08-06"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!I1628=\"\",\"\",ZOZNAM!I1628),\"\")","v":"3100 GBP"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!J1628=\"\",\"\",ZOZNAM!J1628),\"\")","v":"2022-05-31"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!K1628=\"\",\"\",ZOZNAM!K1628),\"\")","v":"https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/game-theory/#syllabus"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!L1628=\"\",\"\",ZOZNAM!L1628),\"\")","v":"This course is designed for students with a background in microeconomic theory and will be taught at the intermediate level. The topic of this course, Game Theory, is an essential tool for analyzing strategic interactions between economic agents. It can help us explain anything from why farmers overgraze a common piece of land to the price at which a buyer and seller agree to trade. This course equips students with the skills to use game theory to model real world scenarios and apply game theoretic methods to solve these models."},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!M1628=\"\",\"\",ZOZNAM!M1628),\"\")","v":"Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!N1628=\"\",\"\",ZOZNAM!N1628),\"\")","v":"nie"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!O1628=\"\",\"\",ZOZNAM!O1628),\"\")","v":"áno - dobrovoľná"},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!P1628=\"\",\"\",ZOZNAM!P1628),\"\")","v":""},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!Q1628=\"\",\"\",ZOZNAM!Q1628),\"\")","v":""},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!R1628=\"\",\"\",ZOZNAM!R1628),\"\")","v":""},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!S1628=\"\",\"\",ZOZNAM!S1628),\"\")","v":""},{"$f":"IF($A1637<>\"\",IF(ZOZNAM!T1628=\"\",\"\",ZOZNAM!T1628),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1629)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1629)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1629)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1629)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1629)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1629)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1629)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1629)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1629)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1629)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1629)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1629)),FALSE))),ZOZNAM!G1629>=$C$9),ZOZNAM!A1629,\"\")","v":"UW003"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!B1629=\"\",\"\",ZOZNAM!B1629),\"\")","v":"University of Warwick "},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!C1629=\"\",\"\",ZOZNAM!C1629),\"\")","v":"Introduction to Economics"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!D1629=\"\",\"\",ZOZNAM!D1629),\"\")","v":"Warwick, Anglicko"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!E1629=\"\",\"\",ZOZNAM!E1629),\"\")","v":15},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!F1629=\"\",\"\",ZOZNAM!F1629),\"\")","v":21},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!G1629=\"\",\"\",ZOZNAM!G1629),\"\")","v":"2022-07-17"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!H1629=\"\",\"\",ZOZNAM!H1629),\"\")","v":"2022-08-06"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!I1629=\"\",\"\",ZOZNAM!I1629),\"\")","v":"3100 GBP"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!J1629=\"\",\"\",ZOZNAM!J1629),\"\")","v":"2022-05-31"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!K1629=\"\",\"\",ZOZNAM!K1629),\"\")","v":"https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/introduction-to-economics/#syllabus"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!L1629=\"\",\"\",ZOZNAM!L1629),\"\")","v":"The course will begin by exploring the fundamental economic question. We live in a world with scarce resources, including oil, money, time, energy and goods and services. However, we have unlimited wants. Therefore, we consider how these scarce resources are allocated and in doing so, we will explore the importance of choice. The course will then develop many fundamental concepts, ideas and models that economists use to study all the questions that result from this fundamental economic problem."},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!M1629=\"\",\"\",ZOZNAM!M1629),\"\")","v":"Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!N1629=\"\",\"\",ZOZNAM!N1629),\"\")","v":"nie"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!O1629=\"\",\"\",ZOZNAM!O1629),\"\")","v":"áno - dobrovoľná"},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!P1629=\"\",\"\",ZOZNAM!P1629),\"\")","v":""},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!Q1629=\"\",\"\",ZOZNAM!Q1629),\"\")","v":""},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!R1629=\"\",\"\",ZOZNAM!R1629),\"\")","v":""},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!S1629=\"\",\"\",ZOZNAM!S1629),\"\")","v":""},{"$f":"IF($A1638<>\"\",IF(ZOZNAM!T1629=\"\",\"\",ZOZNAM!T1629),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1631)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1631)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1631)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1631)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1631)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1631)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1631)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1631)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1631)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1631)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1631)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1631)),FALSE))),ZOZNAM!G1631>=$C$9),ZOZNAM!A1631,\"\")","v":"VA008"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!B1631=\"\",\"\",ZOZNAM!B1631),\"\")","v":"Vrije Universiteit Amsterdam"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!C1631=\"\",\"\",ZOZNAM!C1631),\"\")","v":"The Economics of Urbanisation"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!D1631=\"\",\"\",ZOZNAM!D1631),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!E1631=\"\",\"\",ZOZNAM!E1631),\"\")","v":5},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!F1631=\"\",\"\",ZOZNAM!F1631),\"\")","v":8},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!G1631=\"\",\"\",ZOZNAM!G1631),\"\")","v":"2022-07-17"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!H1631=\"\",\"\",ZOZNAM!H1631),\"\")","v":"2022-07-24"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!I1631=\"\",\"\",ZOZNAM!I1631),\"\")","v":"650 EUR"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!J1631=\"\",\"\",ZOZNAM!J1631),\"\")","v":"2022-05-01"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!K1631=\"\",\"\",ZOZNAM!K1631),\"\")","v":"https://vu.nl/en/education/summerschool/the-economics-of-urbanisation/curriculum"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!L1631=\"\",\"\",ZOZNAM!L1631),\"\")","v":"In this course, you will learn about the economic forces that underpin urbanisation and shape cities. Along the way, you will be equipped with knowledge and skills that help answer questions such as: Why are firms and people moving to cities? How do we measure the performance of cities? What factors explain why some cities thrive, while others struggle? What can policy makers do to improve the economic, social, and environmental performance of cities? To gain insight into these questions, students will participate in lectures, self-directed work, and field visits."},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!M1631=\"\",\"\",ZOZNAM!M1631),\"\")","v":""},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!N1631=\"\",\"\",ZOZNAM!N1631),\"\")","v":"nie"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!O1631=\"\",\"\",ZOZNAM!O1631),\"\")","v":"áno - prezentácia+ esej"},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!P1631=\"\",\"\",ZOZNAM!P1631),\"\")","v":""},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!Q1631=\"\",\"\",ZOZNAM!Q1631),\"\")","v":""},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!R1631=\"\",\"\",ZOZNAM!R1631),\"\")","v":""},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!S1631=\"\",\"\",ZOZNAM!S1631),\"\")","v":""},{"$f":"IF($A1640<>\"\",IF(ZOZNAM!T1631=\"\",\"\",ZOZNAM!T1631),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1632)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1632)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1632)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1632)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1632)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1632)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1632)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1632)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1632)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1632)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1632)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1632)),FALSE))),ZOZNAM!G1632>=$C$9),ZOZNAM!A1632,\"\")","v":"VA009"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!B1632=\"\",\"\",ZOZNAM!B1632),\"\")","v":"Vrije Universiteit Amsterdam"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!C1632=\"\",\"\",ZOZNAM!C1632),\"\")","v":"Big Data Management and Analysis in the Linux Environment"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!D1632=\"\",\"\",ZOZNAM!D1632),\"\")","v":"Amsterdam, Holandsko"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!E1632=\"\",\"\",ZOZNAM!E1632),\"\")","v":10},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!F1632=\"\",\"\",ZOZNAM!F1632),\"\")","v":15},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!G1632=\"\",\"\",ZOZNAM!G1632),\"\")","v":"2022-07-02"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!H1632=\"\",\"\",ZOZNAM!H1632),\"\")","v":"2022-07-16"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!I1632=\"\",\"\",ZOZNAM!I1632),\"\")","v":"1150 EUR"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!J1632=\"\",\"\",ZOZNAM!J1632),\"\")","v":"2022-05-01"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!K1632=\"\",\"\",ZOZNAM!K1632),\"\")","v":"https://vu.nl/en/education/summerschool/big-data-management-and-analysis-in-the-linux-environment/curriculum"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!L1632=\"\",\"\",ZOZNAM!L1632),\"\")","v":"The growing availability of extremely large datasets requires scientists and analysts to use powerful supercomputers or computer clusters to store, manage, and analyse these data. These servers typically use Linux as their operating system, and some programming skills and insights into suitable software packages are needed to work on them. This course will introduce you to common UNIX command line utilities, teach you how to manage very large datasets (e.g. using sed, awk, and grep commands) and create simple shell scripts to analyse your data (e.g. using a UNIX version of the freely available statistics program R). You will also learn how to present your data and results in customized plots and figures. These skills are extremely valuable for scientists from all disciplines as well as for business practitioners (e.g. consultants or financial analysts) who are planning to work with big data."},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!M1632=\"\",\"\",ZOZNAM!M1632),\"\")","v":""},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!N1632=\"\",\"\",ZOZNAM!N1632),\"\")","v":"nie"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!O1632=\"\",\"\",ZOZNAM!O1632),\"\")","v":"nie"},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!P1632=\"\",\"\",ZOZNAM!P1632),\"\")","v":""},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!Q1632=\"\",\"\",ZOZNAM!Q1632),\"\")","v":""},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!R1632=\"\",\"\",ZOZNAM!R1632),\"\")","v":""},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!S1632=\"\",\"\",ZOZNAM!S1632),\"\")","v":""},{"$f":"IF($A1641<>\"\",IF(ZOZNAM!T1632=\"\",\"\",ZOZNAM!T1632),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1655)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1655)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1655)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1655)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1655)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1655)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1655)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1655)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1655)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1655)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1655)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1655)),FALSE))),ZOZNAM!G1655>=$C$9),ZOZNAM!A1655,\"\")","v":"UB002"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!B1655=\"\",\"\",ZOZNAM!B1655),\"\")","v":"University of Barcelona"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!C1655=\"\",\"\",ZOZNAM!C1655),\"\")","v":"BEHAVIORAL AND EXPERIMENTAL ECONOMICS"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!D1655=\"\",\"\",ZOZNAM!D1655),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!E1655=\"\",\"\",ZOZNAM!E1655),\"\")","v":5},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!F1655=\"\",\"\",ZOZNAM!F1655),\"\")","v":5},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!G1655=\"\",\"\",ZOZNAM!G1655),\"\")","v":"2022-06-27"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!H1655=\"\",\"\",ZOZNAM!H1655),\"\")","v":"2022-07-01"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!I1655=\"\",\"\",ZOZNAM!I1655),\"\")","v":"710 EUR"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!J1655=\"\",\"\",ZOZNAM!J1655),\"\")","v":"2022-05-25"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!K1655=\"\",\"\",ZOZNAM!K1655),\"\")","v":"https://www.ub.edu/school-economics/summer-school/"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!L1655=\"\",\"\",ZOZNAM!L1655),\"\")","v":"The course will combine theory and practice. It is well known that microeconomic theories usually depend on individual preferences, which cannot be observed in natural environments. To overcome this drawback, it will be shown that experiments in the laboratory help to check whether the assumptions made about individuals are descriptive of their behavior. Such experiments involve both studies of individual choice and of the interactive behavior that is the concern of the theory of games. Also, following the recent trends, the implementation of field experiments and natural experiments, which take place outside the lab, will be considered."},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!M1655=\"\",\"\",ZOZNAM!M1655),\"\")","v":""},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!N1655=\"\",\"\",ZOZNAM!N1655),\"\")","v":"nie"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!O1655=\"\",\"\",ZOZNAM!O1655),\"\")","v":"nie"},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!P1655=\"\",\"\",ZOZNAM!P1655),\"\")","v":""},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!Q1655=\"\",\"\",ZOZNAM!Q1655),\"\")","v":""},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!R1655=\"\",\"\",ZOZNAM!R1655),\"\")","v":""},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!S1655=\"\",\"\",ZOZNAM!S1655),\"\")","v":""},{"$f":"IF($A1664<>\"\",IF(ZOZNAM!T1655=\"\",\"\",ZOZNAM!T1655),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1656)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1656)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1656)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1656)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1656)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1656)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1656)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1656)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1656)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1656)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1656)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1656)),FALSE))),ZOZNAM!G1656>=$C$9),ZOZNAM!A1656,\"\")","v":"BA241"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!B1656=\"\",\"\",ZOZNAM!B1656),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!C1656=\"\",\"\",ZOZNAM!C1656),\"\")","v":"Firm Dynamics in Macro-Finance: Tools and Applications"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!D1656=\"\",\"\",ZOZNAM!D1656),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!E1656=\"\",\"\",ZOZNAM!E1656),\"\")","v":5},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!F1656=\"\",\"\",ZOZNAM!F1656),\"\")","v":5},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!G1656=\"\",\"\",ZOZNAM!G1656),\"\")","v":"2022-07-04"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!H1656=\"\",\"\",ZOZNAM!H1656),\"\")","v":"2022-07-08"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!I1656=\"\",\"\",ZOZNAM!I1656),\"\")","v":"1250 EUR"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!J1656=\"\",\"\",ZOZNAM!J1656),\"\")","v":"2022-06-06"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!K1656=\"\",\"\",ZOZNAM!K1656),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!L1656=\"\",\"\",ZOZNAM!L1656),\"\")","v":"The objective of this course is to present analytical and empirical applications on the relationship between financial frictions, firm dynamics, and their macroeconomic implications. We will place emphasis on the analytical tools necessary to solve and analyze firm dynamics models with frictions and misallocation, and on the empirical tools to test their predictions.\nSelected tools and applications (both simulating the models as well as some empirical applications) will be illustrated in detail during the practical sessions. "},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!M1656=\"\",\"\",ZOZNAM!M1656),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 700 EUR"},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!N1656=\"\",\"\",ZOZNAM!N1656),\"\")","v":""},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!O1656=\"\",\"\",ZOZNAM!O1656),\"\")","v":""},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!P1656=\"\",\"\",ZOZNAM!P1656),\"\")","v":""},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!Q1656=\"\",\"\",ZOZNAM!Q1656),\"\")","v":""},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!R1656=\"\",\"\",ZOZNAM!R1656),\"\")","v":""},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!S1656=\"\",\"\",ZOZNAM!S1656),\"\")","v":""},{"$f":"IF($A1665<>\"\",IF(ZOZNAM!T1656=\"\",\"\",ZOZNAM!T1656),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1657)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1657)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1657)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1657)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1657)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1657)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1657)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1657)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1657)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1657)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1657)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1657)),FALSE))),ZOZNAM!G1657>=$C$9),ZOZNAM!A1657,\"\")","v":"BA242"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!B1657=\"\",\"\",ZOZNAM!B1657),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!C1657=\"\",\"\",ZOZNAM!C1657),\"\")","v":"Macroeconomic Policy in the Global Economy"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!D1657=\"\",\"\",ZOZNAM!D1657),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!E1657=\"\",\"\",ZOZNAM!E1657),\"\")","v":5},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!F1657=\"\",\"\",ZOZNAM!F1657),\"\")","v":5},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!G1657=\"\",\"\",ZOZNAM!G1657),\"\")","v":"2022-06-27"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!H1657=\"\",\"\",ZOZNAM!H1657),\"\")","v":"2022-07-01"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!I1657=\"\",\"\",ZOZNAM!I1657),\"\")","v":"1100 EUR"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!J1657=\"\",\"\",ZOZNAM!J1657),\"\")","v":"2022-06-06"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!K1657=\"\",\"\",ZOZNAM!K1657),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!L1657=\"\",\"\",ZOZNAM!L1657),\"\")","v":"TThis course introduces state-of-the-art models and empirical methods to analyze key macroeconomic policy challenges confronting the world economy. We will consider monetary and fiscal policy in open economies, capital flows and international financial crises, macroprudential policies and capital controls, exchange rate policy, financial globalization and international macroeconomic dependence. Substantial attention will be devoted to current policy debates, such as global imbalances and the 2008 global financial crisis, the past and future of the euro area, secular stagnation, the emergence of China as a global player and the global productivity slowdown."},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!M1657=\"\",\"\",ZOZNAM!M1657),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!N1657=\"\",\"\",ZOZNAM!N1657),\"\")","v":""},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!O1657=\"\",\"\",ZOZNAM!O1657),\"\")","v":""},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!P1657=\"\",\"\",ZOZNAM!P1657),\"\")","v":""},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!Q1657=\"\",\"\",ZOZNAM!Q1657),\"\")","v":""},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!R1657=\"\",\"\",ZOZNAM!R1657),\"\")","v":""},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!S1657=\"\",\"\",ZOZNAM!S1657),\"\")","v":""},{"$f":"IF($A1666<>\"\",IF(ZOZNAM!T1657=\"\",\"\",ZOZNAM!T1657),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1658)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1658)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1658)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1658)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1658)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1658)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1658)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1658)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1658)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1658)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1658)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1658)),FALSE))),ZOZNAM!G1658>=$C$9),ZOZNAM!A1658,\"\")","v":"BA243"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!B1658=\"\",\"\",ZOZNAM!B1658),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!C1658=\"\",\"\",ZOZNAM!C1658),\"\")","v":"Numerical Methods for Fiscal and Monetary Policy Analysis"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!D1658=\"\",\"\",ZOZNAM!D1658),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!E1658=\"\",\"\",ZOZNAM!E1658),\"\")","v":5},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!F1658=\"\",\"\",ZOZNAM!F1658),\"\")","v":5},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!G1658=\"\",\"\",ZOZNAM!G1658),\"\")","v":"2022-06-27"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!H1658=\"\",\"\",ZOZNAM!H1658),\"\")","v":"2022-07-01"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!I1658=\"\",\"\",ZOZNAM!I1658),\"\")","v":"1250 EUR"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!J1658=\"\",\"\",ZOZNAM!J1658),\"\")","v":"2022-06-06"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!K1658=\"\",\"\",ZOZNAM!K1658),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!L1658=\"\",\"\",ZOZNAM!L1658),\"\")","v":"This course will cover state-of-the-art techniques to solve and simulate modern macroeconomic models, with specific applications to models used for fiscal and monetary policy analysis. The applications will be illustrated in detail during the practical sessions.\n\nSelected Topics\n\nIntroduction to local and global solution methods\nSolution of fiscal and monetary policy models (e.g. with zero-lower bound, financial constraints, heterogeneous agents)\nSolution of optimal fiscal and monetary policy problems"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!M1658=\"\",\"\",ZOZNAM!M1658),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 700 EUR"},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!N1658=\"\",\"\",ZOZNAM!N1658),\"\")","v":""},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!O1658=\"\",\"\",ZOZNAM!O1658),\"\")","v":""},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!P1658=\"\",\"\",ZOZNAM!P1658),\"\")","v":""},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!Q1658=\"\",\"\",ZOZNAM!Q1658),\"\")","v":""},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!R1658=\"\",\"\",ZOZNAM!R1658),\"\")","v":""},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!S1658=\"\",\"\",ZOZNAM!S1658),\"\")","v":""},{"$f":"IF($A1667<>\"\",IF(ZOZNAM!T1658=\"\",\"\",ZOZNAM!T1658),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1659)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1659)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1659)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1659)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1659)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1659)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1659)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1659)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1659)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1659)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1659)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1659)),FALSE))),ZOZNAM!G1659>=$C$9),ZOZNAM!A1659,\"\")","v":"BA244"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!B1659=\"\",\"\",ZOZNAM!B1659),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!C1659=\"\",\"\",ZOZNAM!C1659),\"\")","v":"Sovereign Debt Crises: Theory, Evidence and Policy"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!D1659=\"\",\"\",ZOZNAM!D1659),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!E1659=\"\",\"\",ZOZNAM!E1659),\"\")","v":5},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!F1659=\"\",\"\",ZOZNAM!F1659),\"\")","v":5},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!G1659=\"\",\"\",ZOZNAM!G1659),\"\")","v":"2022-07-11"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!H1659=\"\",\"\",ZOZNAM!H1659),\"\")","v":"2022-07-15"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!I1659=\"\",\"\",ZOZNAM!I1659),\"\")","v":"1100 EUR"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!J1659=\"\",\"\",ZOZNAM!J1659),\"\")","v":"2022-06-06"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!K1659=\"\",\"\",ZOZNAM!K1659),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!L1659=\"\",\"\",ZOZNAM!L1659),\"\")","v":"This course provides an overview of sovereign debt crises from theoretical, empirical and policy points of view. It covers both traditional and new theories that emphasize the interplay between international and domestic financial markets, and the relevant empirical evidence. It discusses the distinction between liquidity and solvency crises and the appropriate policy responses. The last part of the course is devoted to an analysis of the European crisis.\n\nSelected Topics\n\nWhat are the costs of sovereign default? Reputation and sanctions\nMarket structure and defaults: Secondary markets and collateral damage\nRollover crises: Lender of last resort and moral hazard\nSolvency crises: Debt overhang, buybacks and restructuring\nLessons from Europe"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!M1659=\"\",\"\",ZOZNAM!M1659),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!N1659=\"\",\"\",ZOZNAM!N1659),\"\")","v":""},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!O1659=\"\",\"\",ZOZNAM!O1659),\"\")","v":""},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!P1659=\"\",\"\",ZOZNAM!P1659),\"\")","v":""},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!Q1659=\"\",\"\",ZOZNAM!Q1659),\"\")","v":""},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!R1659=\"\",\"\",ZOZNAM!R1659),\"\")","v":""},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!S1659=\"\",\"\",ZOZNAM!S1659),\"\")","v":""},{"$f":"IF($A1668<>\"\",IF(ZOZNAM!T1659=\"\",\"\",ZOZNAM!T1659),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1660)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1660)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1660)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1660)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1660)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1660)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1660)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1660)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1660)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1660)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1660)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1660)),FALSE))),ZOZNAM!G1660>=$C$9),ZOZNAM!A1660,\"\")","v":"BA245"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!B1660=\"\",\"\",ZOZNAM!B1660),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!C1660=\"\",\"\",ZOZNAM!C1660),\"\")","v":"Spatial Equilibrium and the Economics of Cities"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!D1660=\"\",\"\",ZOZNAM!D1660),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!E1660=\"\",\"\",ZOZNAM!E1660),\"\")","v":5},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!F1660=\"\",\"\",ZOZNAM!F1660),\"\")","v":5},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!G1660=\"\",\"\",ZOZNAM!G1660),\"\")","v":"2022-07-04"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!H1660=\"\",\"\",ZOZNAM!H1660),\"\")","v":"2022-07-08"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!I1660=\"\",\"\",ZOZNAM!I1660),\"\")","v":"1100 EUR"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!J1660=\"\",\"\",ZOZNAM!J1660),\"\")","v":"2022-06-06"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!K1660=\"\",\"\",ZOZNAM!K1660),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!L1660=\"\",\"\",ZOZNAM!L1660),\"\")","v":"Spatial equilibrium in a city: transportation, residential location and the monocentric city model\nSpatial equilibrium in a system of cities: hedonics and the measurement of amenities and productivity\nAgglomeration economies: pooling, matching and knowledge spillovers\nCities and public policy: local public goods and sorting, place-based policies"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!M1660=\"\",\"\",ZOZNAM!M1660),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!N1660=\"\",\"\",ZOZNAM!N1660),\"\")","v":""},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!O1660=\"\",\"\",ZOZNAM!O1660),\"\")","v":""},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!P1660=\"\",\"\",ZOZNAM!P1660),\"\")","v":""},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!Q1660=\"\",\"\",ZOZNAM!Q1660),\"\")","v":""},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!R1660=\"\",\"\",ZOZNAM!R1660),\"\")","v":""},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!S1660=\"\",\"\",ZOZNAM!S1660),\"\")","v":""},{"$f":"IF($A1669<>\"\",IF(ZOZNAM!T1660=\"\",\"\",ZOZNAM!T1660),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1661)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1661)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1661)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1661)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1661)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1661)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1661)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1661)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1661)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1661)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1661)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1661)),FALSE))),ZOZNAM!G1661>=$C$9),ZOZNAM!A1661,\"\")","v":"BA246"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!B1661=\"\",\"\",ZOZNAM!B1661),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!C1661=\"\",\"\",ZOZNAM!C1661),\"\")","v":"The Economics of Immigration: Card vs. Borjas, time horizons, and spatial equilibrium"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!D1661=\"\",\"\",ZOZNAM!D1661),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!E1661=\"\",\"\",ZOZNAM!E1661),\"\")","v":5},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!F1661=\"\",\"\",ZOZNAM!F1661),\"\")","v":5},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!G1661=\"\",\"\",ZOZNAM!G1661),\"\")","v":"2022-06-27"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!H1661=\"\",\"\",ZOZNAM!H1661),\"\")","v":"2022-07-01"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!I1661=\"\",\"\",ZOZNAM!I1661),\"\")","v":"1100 EUR"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!J1661=\"\",\"\",ZOZNAM!J1661),\"\")","v":"2022-06-06"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!K1661=\"\",\"\",ZOZNAM!K1661),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!L1661=\"\",\"\",ZOZNAM!L1661),\"\")","v":"What is the effect of immigration on labor markets? The course is motivated by the seemingly contradictory evidence in the existing empirical literature. On the one hand, pioneering research by recent Nobel prize recipient David Card seems to suggest that immigration has no effect on the labor market. On the other hand, Harvard economist and one of the leading scholars in the field, George Borjas, seems to reach the opposite conclusion. Motivated by this long-standing debate, the course brings together elements of labor demand and labor supply theory in combination with many of the insights of the spatial equilibrium literature to explore why each of these two prominent authors arrives to a different conclusion. The aim of the course is to make sense of this contradictory evidence by exploring the interaction of local and national labor markets. Time horizons and spatial equilibrium are going to be the key concepts of the course.\n\nSelected topics\n\nA review of the effect of immigration on the labor market\nHow to move from local labor markets to the national market\nThe local and aggregate effects of immigration: time horizons and aggregate consequences"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!M1661=\"\",\"\",ZOZNAM!M1661),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!N1661=\"\",\"\",ZOZNAM!N1661),\"\")","v":""},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!O1661=\"\",\"\",ZOZNAM!O1661),\"\")","v":""},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!P1661=\"\",\"\",ZOZNAM!P1661),\"\")","v":""},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!Q1661=\"\",\"\",ZOZNAM!Q1661),\"\")","v":""},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!R1661=\"\",\"\",ZOZNAM!R1661),\"\")","v":""},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!S1661=\"\",\"\",ZOZNAM!S1661),\"\")","v":""},{"$f":"IF($A1670<>\"\",IF(ZOZNAM!T1661=\"\",\"\",ZOZNAM!T1661),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1662)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1662)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1662)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1662)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1662)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1662)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1662)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1662)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1662)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1662)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1662)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1662)),FALSE))),ZOZNAM!G1662>=$C$9),ZOZNAM!A1662,\"\")","v":"BA247"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!B1662=\"\",\"\",ZOZNAM!B1662),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!C1662=\"\",\"\",ZOZNAM!C1662),\"\")","v":"The Rise of Dominant Firms in the Digital Age"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!D1662=\"\",\"\",ZOZNAM!D1662),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!E1662=\"\",\"\",ZOZNAM!E1662),\"\")","v":5},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!F1662=\"\",\"\",ZOZNAM!F1662),\"\")","v":5},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!G1662=\"\",\"\",ZOZNAM!G1662),\"\")","v":"2022-07-04"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!H1662=\"\",\"\",ZOZNAM!H1662),\"\")","v":"2022-07-08"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!I1662=\"\",\"\",ZOZNAM!I1662),\"\")","v":"1100 EUR"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!J1662=\"\",\"\",ZOZNAM!J1662),\"\")","v":"2022-06-06"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!K1662=\"\",\"\",ZOZNAM!K1662),\"\")","v":"https://bse.eu/study/summer-school/crei-macroeconomics"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!L1662=\"\",\"\",ZOZNAM!L1662),\"\")","v":"There is a sharp rise in market power by dominant firms in the aggregate economy since 1980. Dominant firms face limited competition which allows them to charge high prices and generate extraordinary profits. We analyze the evolution of market power using different methods. We then evaluate the consequences of market power on the macroeconomy: a decline in the labor share, wage stagnation, declining labor mobility, the decline of startups, and the rise of superstar firms. Next, we investigate the causes, with a focus on technological change and the digital revolution as well as antitrust enforcement. We identify the causes of market power in a macro model and evaluate the model qualitatively. We measure the welfare cost of market power and propose policy measures.\n\nSelected Topics:\n\nMeasurement of market power\nCauses: technological change and lax antitrust enforcement\nThe macroeconomic consequences\nThe welfare cost and policies to remedy market power"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!M1662=\"\",\"\",ZOZNAM!M1662),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!N1662=\"\",\"\",ZOZNAM!N1662),\"\")","v":""},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!O1662=\"\",\"\",ZOZNAM!O1662),\"\")","v":""},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!P1662=\"\",\"\",ZOZNAM!P1662),\"\")","v":""},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!Q1662=\"\",\"\",ZOZNAM!Q1662),\"\")","v":""},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!R1662=\"\",\"\",ZOZNAM!R1662),\"\")","v":""},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!S1662=\"\",\"\",ZOZNAM!S1662),\"\")","v":""},{"$f":"IF($A1671<>\"\",IF(ZOZNAM!T1662=\"\",\"\",ZOZNAM!T1662),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1663)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1663)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1663)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1663)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1663)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1663)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1663)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1663)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1663)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1663)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1663)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1663)),FALSE))),ZOZNAM!G1663>=$C$9),ZOZNAM!A1663,\"\")","v":"BA248"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!B1663=\"\",\"\",ZOZNAM!B1663),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!C1663=\"\",\"\",ZOZNAM!C1663),\"\")","v":"Coding Bootcamp in Python and R"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!D1663=\"\",\"\",ZOZNAM!D1663),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!E1663=\"\",\"\",ZOZNAM!E1663),\"\")","v":1},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!F1663=\"\",\"\",ZOZNAM!F1663),\"\")","v":1},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!G1663=\"\",\"\",ZOZNAM!G1663),\"\")","v":"2022-06-26"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!H1663=\"\",\"\",ZOZNAM!H1663),\"\")","v":"2022-06-26"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!I1663=\"\",\"\",ZOZNAM!I1663),\"\")","v":"525 EUR"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!J1663=\"\",\"\",ZOZNAM!J1663),\"\")","v":"2022-06-06"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!K1663=\"\",\"\",ZOZNAM!K1663),\"\")","v":"https://bse.eu/study/summer-school/data-science"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!L1663=\"\",\"\",ZOZNAM!L1663),\"\")","v":"The course provides basic training in programming with Python and R for data analysis and machine learning. This is an intensive 8-hour course based on a hands-on approach using Jupyter notebooks."},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!M1663=\"\",\"\",ZOZNAM!M1663),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!N1663=\"\",\"\",ZOZNAM!N1663),\"\")","v":""},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!O1663=\"\",\"\",ZOZNAM!O1663),\"\")","v":""},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!P1663=\"\",\"\",ZOZNAM!P1663),\"\")","v":""},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!Q1663=\"\",\"\",ZOZNAM!Q1663),\"\")","v":""},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!R1663=\"\",\"\",ZOZNAM!R1663),\"\")","v":""},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!S1663=\"\",\"\",ZOZNAM!S1663),\"\")","v":""},{"$f":"IF($A1672<>\"\",IF(ZOZNAM!T1663=\"\",\"\",ZOZNAM!T1663),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1664)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1664)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1664)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1664)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1664)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1664)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1664)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1664)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1664)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1664)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1664)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1664)),FALSE))),ZOZNAM!G1664>=$C$9),ZOZNAM!A1664,\"\")","v":"BA249"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!B1664=\"\",\"\",ZOZNAM!B1664),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!C1664=\"\",\"\",ZOZNAM!C1664),\"\")","v":"Deep Learning and Applications"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!D1664=\"\",\"\",ZOZNAM!D1664),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!E1664=\"\",\"\",ZOZNAM!E1664),\"\")","v":5},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!F1664=\"\",\"\",ZOZNAM!F1664),\"\")","v":5},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!G1664=\"\",\"\",ZOZNAM!G1664),\"\")","v":"2022-07-11"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!H1664=\"\",\"\",ZOZNAM!H1664),\"\")","v":"2022-07-15"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!I1664=\"\",\"\",ZOZNAM!I1664),\"\")","v":"1400 EUR"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!J1664=\"\",\"\",ZOZNAM!J1664),\"\")","v":"2022-06-06"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!K1664=\"\",\"\",ZOZNAM!K1664),\"\")","v":"https://bse.eu/study/summer-school/data-science"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!L1664=\"\",\"\",ZOZNAM!L1664),\"\")","v":"In this course, we will introduce several aspects of modern machine learning, deep learning, and its applications. The learning objectives are:\n\nTo understand the basic techniques of deep learning at an analytical and programming level.\nTo be able to use some of these techniques in popular application domains."},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!M1664=\"\",\"\",ZOZNAM!M1664),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!N1664=\"\",\"\",ZOZNAM!N1664),\"\")","v":""},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!O1664=\"\",\"\",ZOZNAM!O1664),\"\")","v":""},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!P1664=\"\",\"\",ZOZNAM!P1664),\"\")","v":""},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!Q1664=\"\",\"\",ZOZNAM!Q1664),\"\")","v":""},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!R1664=\"\",\"\",ZOZNAM!R1664),\"\")","v":""},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!S1664=\"\",\"\",ZOZNAM!S1664),\"\")","v":""},{"$f":"IF($A1673<>\"\",IF(ZOZNAM!T1664=\"\",\"\",ZOZNAM!T1664),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1665)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1665)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1665)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1665)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1665)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1665)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1665)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1665)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1665)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1665)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1665)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1665)),FALSE))),ZOZNAM!G1665>=$C$9),ZOZNAM!A1665,\"\")","v":"BA250"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!B1665=\"\",\"\",ZOZNAM!B1665),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!C1665=\"\",\"\",ZOZNAM!C1665),\"\")","v":"Foundations of Data Science"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!D1665=\"\",\"\",ZOZNAM!D1665),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!E1665=\"\",\"\",ZOZNAM!E1665),\"\")","v":5},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!F1665=\"\",\"\",ZOZNAM!F1665),\"\")","v":5},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!G1665=\"\",\"\",ZOZNAM!G1665),\"\")","v":"2022-06-27"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!H1665=\"\",\"\",ZOZNAM!H1665),\"\")","v":"2022-07-01"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!I1665=\"\",\"\",ZOZNAM!I1665),\"\")","v":"1400 EUR"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!J1665=\"\",\"\",ZOZNAM!J1665),\"\")","v":"2022-06-06"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!K1665=\"\",\"\",ZOZNAM!K1665),\"\")","v":"https://bse.eu/study/summer-school/data-science"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!L1665=\"\",\"\",ZOZNAM!L1665),\"\")","v":"This is an intensive 20-hour hands-on course in the foundations of data science. The course provides basic training in data analysis and machine learning with Python and R. The material covered is motivated by specific data analysis questions, and each unit concludes with a project to be done by the students."},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!M1665=\"\",\"\",ZOZNAM!M1665),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!N1665=\"\",\"\",ZOZNAM!N1665),\"\")","v":""},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!O1665=\"\",\"\",ZOZNAM!O1665),\"\")","v":""},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!P1665=\"\",\"\",ZOZNAM!P1665),\"\")","v":""},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!Q1665=\"\",\"\",ZOZNAM!Q1665),\"\")","v":""},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!R1665=\"\",\"\",ZOZNAM!R1665),\"\")","v":""},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!S1665=\"\",\"\",ZOZNAM!S1665),\"\")","v":""},{"$f":"IF($A1674<>\"\",IF(ZOZNAM!T1665=\"\",\"\",ZOZNAM!T1665),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1666)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1666)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1666)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1666)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1666)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1666)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1666)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1666)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1666)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1666)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1666)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1666)),FALSE))),ZOZNAM!G1666>=$C$9),ZOZNAM!A1666,\"\")","v":"BA251"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!B1666=\"\",\"\",ZOZNAM!B1666),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!C1666=\"\",\"\",ZOZNAM!C1666),\"\")","v":"Using Text as Data: Methods and Applications"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!D1666=\"\",\"\",ZOZNAM!D1666),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!E1666=\"\",\"\",ZOZNAM!E1666),\"\")","v":5},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!F1666=\"\",\"\",ZOZNAM!F1666),\"\")","v":5},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!G1666=\"\",\"\",ZOZNAM!G1666),\"\")","v":"2022-07-04"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!H1666=\"\",\"\",ZOZNAM!H1666),\"\")","v":"2022-07-08"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!I1666=\"\",\"\",ZOZNAM!I1666),\"\")","v":"1400 EUR"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!J1666=\"\",\"\",ZOZNAM!J1666),\"\")","v":"2022-06-06"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!K1666=\"\",\"\",ZOZNAM!K1666),\"\")","v":"https://bse.eu/study/summer-school/data-science"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!L1666=\"\",\"\",ZOZNAM!L1666),\"\")","v":"An ever-increasing share of human communication is recorded as digital text. Analyzing and making sense of this vast amount of data is increasingly important for research in the social sciences.\n\nThis course provides an accelerated introduction to the theory and practice of text analysis by surveying methods for systematically extracting quantitative information from text, from classical content analysis and dictionary-based methods, to classification methods, scaling methods, and topic models. The course introduces the theoretical foundations for text analysis but mainly takes a practical approach, illustrating the methods through state-of-the-art applications to research questions in economics, political science, and finance."},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!M1666=\"\",\"\",ZOZNAM!M1666),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!N1666=\"\",\"\",ZOZNAM!N1666),\"\")","v":""},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!O1666=\"\",\"\",ZOZNAM!O1666),\"\")","v":""},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!P1666=\"\",\"\",ZOZNAM!P1666),\"\")","v":""},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!Q1666=\"\",\"\",ZOZNAM!Q1666),\"\")","v":""},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!R1666=\"\",\"\",ZOZNAM!R1666),\"\")","v":""},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!S1666=\"\",\"\",ZOZNAM!S1666),\"\")","v":""},{"$f":"IF($A1675<>\"\",IF(ZOZNAM!T1666=\"\",\"\",ZOZNAM!T1666),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1667)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1667)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1667)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1667)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1667)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1667)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1667)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1667)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1667)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1667)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1667)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1667)),FALSE))),ZOZNAM!G1667>=$C$9),ZOZNAM!A1667,\"\")","v":"BA252"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!B1667=\"\",\"\",ZOZNAM!B1667),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!C1667=\"\",\"\",ZOZNAM!C1667),\"\")","v":"Geospatial Tools for Development: Data and Inference"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!D1667=\"\",\"\",ZOZNAM!D1667),\"\")","v":"Online"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!E1667=\"\",\"\",ZOZNAM!E1667),\"\")","v":5},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!F1667=\"\",\"\",ZOZNAM!F1667),\"\")","v":5},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!G1667=\"\",\"\",ZOZNAM!G1667),\"\")","v":"2022-06-20"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!H1667=\"\",\"\",ZOZNAM!H1667),\"\")","v":"2022-06-24"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!I1667=\"\",\"\",ZOZNAM!I1667),\"\")","v":"1000 EUR"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!J1667=\"\",\"\",ZOZNAM!J1667),\"\")","v":"2022-06-06"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!K1667=\"\",\"\",ZOZNAM!K1667),\"\")","v":"https://bse.eu/study/summer-school/development-economics"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!L1667=\"\",\"\",ZOZNAM!L1667),\"\")","v":"The objectives of this course are threefold: First, we will learn about the different types and formats of geospatial data and introduce a set of basic tools that can be employed for extraction and modification of this data. Second, we will review selected pieces of economic research that use geospatial data in the field of development economics. Third, through continuous hands-on exercises using specific computer programs, we will learn the necessary skills to replicate these approaches and harness the benefits of geospatial data for applied research in development."},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!M1667=\"\",\"\",ZOZNAM!M1667),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 550 EUR"},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!N1667=\"\",\"\",ZOZNAM!N1667),\"\")","v":""},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!O1667=\"\",\"\",ZOZNAM!O1667),\"\")","v":""},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!P1667=\"\",\"\",ZOZNAM!P1667),\"\")","v":""},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!Q1667=\"\",\"\",ZOZNAM!Q1667),\"\")","v":""},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!R1667=\"\",\"\",ZOZNAM!R1667),\"\")","v":""},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!S1667=\"\",\"\",ZOZNAM!S1667),\"\")","v":""},{"$f":"IF($A1676<>\"\",IF(ZOZNAM!T1667=\"\",\"\",ZOZNAM!T1667),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1668)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1668)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1668)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1668)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1668)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1668)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1668)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1668)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1668)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1668)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1668)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1668)),FALSE))),ZOZNAM!G1668>=$C$9),ZOZNAM!A1668,\"\")","v":"BA253"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!B1668=\"\",\"\",ZOZNAM!B1668),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!C1668=\"\",\"\",ZOZNAM!C1668),\"\")","v":"Randomized Control Trials (RCTs) in Development Economics: Design and Data Analysis"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!D1668=\"\",\"\",ZOZNAM!D1668),\"\")","v":"Online"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!E1668=\"\",\"\",ZOZNAM!E1668),\"\")","v":5},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!F1668=\"\",\"\",ZOZNAM!F1668),\"\")","v":5},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!G1668=\"\",\"\",ZOZNAM!G1668),\"\")","v":"2022-06-20"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!H1668=\"\",\"\",ZOZNAM!H1668),\"\")","v":"2022-06-24"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!I1668=\"\",\"\",ZOZNAM!I1668),\"\")","v":"1000 EUR"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!J1668=\"\",\"\",ZOZNAM!J1668),\"\")","v":"2022-06-06"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!K1668=\"\",\"\",ZOZNAM!K1668),\"\")","v":"https://bse.eu/study/summer-school/development-economics"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!L1668=\"\",\"\",ZOZNAM!L1668),\"\")","v":"We organize the course around randomized design methods, a widely used identification strategy in development research. The main purpose of this course is to provide a deep dive into the design and then data analysis from RCTs. We cover development topics as examples of such strategy (e.g. microfinance, secondary schooling, and women's labor force participation) and discuss other methods as we compare RCT results to quasi-experimental results within topical case studies. This course provides students with tangible skills that they can take away."},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!M1668=\"\",\"\",ZOZNAM!M1668),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 550 EUR"},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!N1668=\"\",\"\",ZOZNAM!N1668),\"\")","v":""},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!O1668=\"\",\"\",ZOZNAM!O1668),\"\")","v":""},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!P1668=\"\",\"\",ZOZNAM!P1668),\"\")","v":""},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!Q1668=\"\",\"\",ZOZNAM!Q1668),\"\")","v":""},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!R1668=\"\",\"\",ZOZNAM!R1668),\"\")","v":""},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!S1668=\"\",\"\",ZOZNAM!S1668),\"\")","v":""},{"$f":"IF($A1677<>\"\",IF(ZOZNAM!T1668=\"\",\"\",ZOZNAM!T1668),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1669)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1669)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1669)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1669)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1669)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1669)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1669)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1669)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1669)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1669)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1669)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1669)),FALSE))),ZOZNAM!G1669>=$C$9),ZOZNAM!A1669,\"\")","v":"BA254"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!B1669=\"\",\"\",ZOZNAM!B1669),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!C1669=\"\",\"\",ZOZNAM!C1669),\"\")","v":"Complex Network Analysis: Tools for Economic Development"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!D1669=\"\",\"\",ZOZNAM!D1669),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!E1669=\"\",\"\",ZOZNAM!E1669),\"\")","v":5},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!F1669=\"\",\"\",ZOZNAM!F1669),\"\")","v":5},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!G1669=\"\",\"\",ZOZNAM!G1669),\"\")","v":"2022-06-27"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!H1669=\"\",\"\",ZOZNAM!H1669),\"\")","v":"2022-07-01"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!I1669=\"\",\"\",ZOZNAM!I1669),\"\")","v":"1325 EUR"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!J1669=\"\",\"\",ZOZNAM!J1669),\"\")","v":"2022-06-06"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!K1669=\"\",\"\",ZOZNAM!K1669),\"\")","v":"https://bse.eu/study/summer-school/development-economics"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!L1669=\"\",\"\",ZOZNAM!L1669),\"\")","v":"ou will learn how to model and predict social behavior at a large scale, without compromising the detailed interaction structures that are increasingly observed in growing datasets. Understanding these complex systems is crucial to construct effective policies that promote economic development in poor and developing regions.\n\nMore specifically, we will analyze how social and economic outcomes rely on the shape and structure of networks, and we will design policy recommendations that feed on rich network data to describe the best course of action. Complex Network analysis can be applied to study military alliances, the evolution of pandemics, sexual behaviour among adolescents, insurance transfers within villages, road networks and congestion, or Facebook networks of (mis)information, among many other examples that pertain to the field of development economics."},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!M1669=\"\",\"\",ZOZNAM!M1669),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 750 EUR"},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!N1669=\"\",\"\",ZOZNAM!N1669),\"\")","v":""},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!O1669=\"\",\"\",ZOZNAM!O1669),\"\")","v":""},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!P1669=\"\",\"\",ZOZNAM!P1669),\"\")","v":""},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!Q1669=\"\",\"\",ZOZNAM!Q1669),\"\")","v":""},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!R1669=\"\",\"\",ZOZNAM!R1669),\"\")","v":""},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!S1669=\"\",\"\",ZOZNAM!S1669),\"\")","v":""},{"$f":"IF($A1678<>\"\",IF(ZOZNAM!T1669=\"\",\"\",ZOZNAM!T1669),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1670)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1670)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1670)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1670)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1670)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1670)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1670)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1670)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1670)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1670)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1670)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1670)),FALSE))),ZOZNAM!G1670>=$C$9),ZOZNAM!A1670,\"\")","v":"BA255"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!B1670=\"\",\"\",ZOZNAM!B1670),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!C1670=\"\",\"\",ZOZNAM!C1670),\"\")","v":"Empirical Methods for the Analysis of the Energy Transition"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!D1670=\"\",\"\",ZOZNAM!D1670),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!E1670=\"\",\"\",ZOZNAM!E1670),\"\")","v":5},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!F1670=\"\",\"\",ZOZNAM!F1670),\"\")","v":5},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!G1670=\"\",\"\",ZOZNAM!G1670),\"\")","v":"2022-06-27"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!H1670=\"\",\"\",ZOZNAM!H1670),\"\")","v":"2022-07-01"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!I1670=\"\",\"\",ZOZNAM!I1670),\"\")","v":"1400 EUR"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!J1670=\"\",\"\",ZOZNAM!J1670),\"\")","v":"2022-06-06"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!K1670=\"\",\"\",ZOZNAM!K1670),\"\")","v":"https://bse.eu/study/summer-school/energy-economics"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!L1670=\"\",\"\",ZOZNAM!L1670),\"\")","v":"The objective of this course is to introduce the participants to key challenges in the energy sector as we decarbonize our economies. The class will be centered on quantitative tools that can assist us in modeling the rapid transformation of the energy sector, with a main focus on electricity markets. We will cover tools of mixed integer programming and machine learning that can assist the quantitative modeling of these complex systems. Each lecture will be paired with a practical application with data and coding exercises."},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!M1670=\"\",\"\",ZOZNAM!M1670),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!N1670=\"\",\"\",ZOZNAM!N1670),\"\")","v":""},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!O1670=\"\",\"\",ZOZNAM!O1670),\"\")","v":""},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!P1670=\"\",\"\",ZOZNAM!P1670),\"\")","v":""},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!Q1670=\"\",\"\",ZOZNAM!Q1670),\"\")","v":""},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!R1670=\"\",\"\",ZOZNAM!R1670),\"\")","v":""},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!S1670=\"\",\"\",ZOZNAM!S1670),\"\")","v":""},{"$f":"IF($A1679<>\"\",IF(ZOZNAM!T1670=\"\",\"\",ZOZNAM!T1670),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1671)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1671)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1671)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1671)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1671)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1671)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1671)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1671)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1671)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1671)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1671)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1671)),FALSE))),ZOZNAM!G1671>=$C$9),ZOZNAM!A1671,\"\")","v":"BA256"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!B1671=\"\",\"\",ZOZNAM!B1671),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!C1671=\"\",\"\",ZOZNAM!C1671),\"\")","v":"Labor Market Outcomes"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!D1671=\"\",\"\",ZOZNAM!D1671),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!E1671=\"\",\"\",ZOZNAM!E1671),\"\")","v":5},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!F1671=\"\",\"\",ZOZNAM!F1671),\"\")","v":5},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!G1671=\"\",\"\",ZOZNAM!G1671),\"\")","v":"2022-07-04"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!H1671=\"\",\"\",ZOZNAM!H1671),\"\")","v":"2022-07-08"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!I1671=\"\",\"\",ZOZNAM!I1671),\"\")","v":"1150 EUR"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!J1671=\"\",\"\",ZOZNAM!J1671),\"\")","v":"2022-06-06"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!K1671=\"\",\"\",ZOZNAM!K1671),\"\")","v":"https://bse.eu/study/summer-school/labor-economics"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!L1671=\"\",\"\",ZOZNAM!L1671),\"\")","v":"This course explores the determination of labor market outcomes, with a particular focus on the determination of the unemployment rate and the flow of workers between employment and unemployment.  Throughout the course we will use economic theory to motivate a careful analysis of relevant data sources."},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!M1671=\"\",\"\",ZOZNAM!M1671),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 625 EUR"},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!N1671=\"\",\"\",ZOZNAM!N1671),\"\")","v":""},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!O1671=\"\",\"\",ZOZNAM!O1671),\"\")","v":""},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!P1671=\"\",\"\",ZOZNAM!P1671),\"\")","v":""},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!Q1671=\"\",\"\",ZOZNAM!Q1671),\"\")","v":""},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!R1671=\"\",\"\",ZOZNAM!R1671),\"\")","v":""},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!S1671=\"\",\"\",ZOZNAM!S1671),\"\")","v":""},{"$f":"IF($A1680<>\"\",IF(ZOZNAM!T1671=\"\",\"\",ZOZNAM!T1671),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1672)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1672)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1672)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1672)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1672)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1672)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1672)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1672)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1672)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1672)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1672)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1672)),FALSE))),ZOZNAM!G1672>=$C$9),ZOZNAM!A1672,\"\")","v":"BA257"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!B1672=\"\",\"\",ZOZNAM!B1672),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!C1672=\"\",\"\",ZOZNAM!C1672),\"\")","v":"Bayesian Time Series Methods I: Introductory"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!D1672=\"\",\"\",ZOZNAM!D1672),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!E1672=\"\",\"\",ZOZNAM!E1672),\"\")","v":5},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!F1672=\"\",\"\",ZOZNAM!F1672),\"\")","v":5},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!G1672=\"\",\"\",ZOZNAM!G1672),\"\")","v":"2022-06-27"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!H1672=\"\",\"\",ZOZNAM!H1672),\"\")","v":"2022-07-01"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!I1672=\"\",\"\",ZOZNAM!I1672),\"\")","v":"1400 EUR"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!J1672=\"\",\"\",ZOZNAM!J1672),\"\")","v":"2022-06-06"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!K1672=\"\",\"\",ZOZNAM!K1672),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!L1672=\"\",\"\",ZOZNAM!L1672),\"\")","v":"This is a course in introductory Bayesian econometrics with a focus on models used in empirical macroeconomics. It begins with a brief introduction to Bayesian econometrics, describing the main concepts underlying Bayesian theory and seeing how Bayesian methods work in the familiar context of the regression model. Computational methods are of great importance in modern Bayesian econometrics, and these are discussed in detail."},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!M1672=\"\",\"\",ZOZNAM!M1672),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!N1672=\"\",\"\",ZOZNAM!N1672),\"\")","v":""},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!O1672=\"\",\"\",ZOZNAM!O1672),\"\")","v":""},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!P1672=\"\",\"\",ZOZNAM!P1672),\"\")","v":""},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!Q1672=\"\",\"\",ZOZNAM!Q1672),\"\")","v":""},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!R1672=\"\",\"\",ZOZNAM!R1672),\"\")","v":""},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!S1672=\"\",\"\",ZOZNAM!S1672),\"\")","v":""},{"$f":"IF($A1681<>\"\",IF(ZOZNAM!T1672=\"\",\"\",ZOZNAM!T1672),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1673)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1673)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1673)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1673)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1673)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1673)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1673)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1673)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1673)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1673)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1673)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1673)),FALSE))),ZOZNAM!G1673>=$C$9),ZOZNAM!A1673,\"\")","v":"BA258"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!B1673=\"\",\"\",ZOZNAM!B1673),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!C1673=\"\",\"\",ZOZNAM!C1673),\"\")","v":"Bayesian Time Series Methods II: Advanced"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!D1673=\"\",\"\",ZOZNAM!D1673),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!E1673=\"\",\"\",ZOZNAM!E1673),\"\")","v":5},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!F1673=\"\",\"\",ZOZNAM!F1673),\"\")","v":5},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!G1673=\"\",\"\",ZOZNAM!G1673),\"\")","v":"2022-07-04"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!H1673=\"\",\"\",ZOZNAM!H1673),\"\")","v":"2022-07-08"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!I1673=\"\",\"\",ZOZNAM!I1673),\"\")","v":"1400 EUR"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!J1673=\"\",\"\",ZOZNAM!J1673),\"\")","v":"2022-06-06"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!K1673=\"\",\"\",ZOZNAM!K1673),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!L1673=\"\",\"\",ZOZNAM!L1673),\"\")","v":"Introduced to econometrics by Nobel laureate Chris Sims and his students, Bayesian VAR methods have recently become the workhorse models for forecasting macroeconomic variables and are routinely used by central banks to inform policy decisions."},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!M1673=\"\",\"\",ZOZNAM!M1673),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!N1673=\"\",\"\",ZOZNAM!N1673),\"\")","v":""},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!O1673=\"\",\"\",ZOZNAM!O1673),\"\")","v":""},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!P1673=\"\",\"\",ZOZNAM!P1673),\"\")","v":""},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!Q1673=\"\",\"\",ZOZNAM!Q1673),\"\")","v":""},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!R1673=\"\",\"\",ZOZNAM!R1673),\"\")","v":""},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!S1673=\"\",\"\",ZOZNAM!S1673),\"\")","v":""},{"$f":"IF($A1682<>\"\",IF(ZOZNAM!T1673=\"\",\"\",ZOZNAM!T1673),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1674)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1674)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1674)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1674)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1674)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1674)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1674)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1674)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1674)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1674)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1674)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1674)),FALSE))),ZOZNAM!G1674>=$C$9),ZOZNAM!A1674,\"\")","v":"BA259"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!B1674=\"\",\"\",ZOZNAM!B1674),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!C1674=\"\",\"\",ZOZNAM!C1674),\"\")","v":"Bayesian Time Series Methods III: DSGE Models Estimation"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!D1674=\"\",\"\",ZOZNAM!D1674),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!E1674=\"\",\"\",ZOZNAM!E1674),\"\")","v":5},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!F1674=\"\",\"\",ZOZNAM!F1674),\"\")","v":5},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!G1674=\"\",\"\",ZOZNAM!G1674),\"\")","v":"2022-07-04"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!H1674=\"\",\"\",ZOZNAM!H1674),\"\")","v":"2022-07-08"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!I1674=\"\",\"\",ZOZNAM!I1674),\"\")","v":"1400 EUR"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!J1674=\"\",\"\",ZOZNAM!J1674),\"\")","v":"2022-06-06"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!K1674=\"\",\"\",ZOZNAM!K1674),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!L1674=\"\",\"\",ZOZNAM!L1674),\"\")","v":"The objective of the course is to teach student how to use state of the art Bayesian methods to estimate and analyze modern macroeconomic models. The course will cover the most popular methods to construct posterior estimates of structural model parameters and probability intervals for arbitrary model outputs (such as impulse response functions and variance decompositions). Special attention will be given to recent advances in empirically analyzing the role of news, noise and imperfect information in business cycle models. The course aim to give students a good understanding of both advantages and limitations of the current generation of DSGE models."},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!M1674=\"\",\"\",ZOZNAM!M1674),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!N1674=\"\",\"\",ZOZNAM!N1674),\"\")","v":""},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!O1674=\"\",\"\",ZOZNAM!O1674),\"\")","v":""},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!P1674=\"\",\"\",ZOZNAM!P1674),\"\")","v":""},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!Q1674=\"\",\"\",ZOZNAM!Q1674),\"\")","v":""},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!R1674=\"\",\"\",ZOZNAM!R1674),\"\")","v":""},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!S1674=\"\",\"\",ZOZNAM!S1674),\"\")","v":""},{"$f":"IF($A1683<>\"\",IF(ZOZNAM!T1674=\"\",\"\",ZOZNAM!T1674),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1675)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1675)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1675)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1675)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1675)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1675)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1675)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1675)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1675)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1675)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1675)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1675)),FALSE))),ZOZNAM!G1675>=$C$9),ZOZNAM!A1675,\"\")","v":"BA260"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!B1675=\"\",\"\",ZOZNAM!B1675),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!C1675=\"\",\"\",ZOZNAM!C1675),\"\")","v":"High-Dimensional Time Series Models I: Factor Models"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!D1675=\"\",\"\",ZOZNAM!D1675),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!E1675=\"\",\"\",ZOZNAM!E1675),\"\")","v":5},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!F1675=\"\",\"\",ZOZNAM!F1675),\"\")","v":5},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!G1675=\"\",\"\",ZOZNAM!G1675),\"\")","v":"2022-07-11"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!H1675=\"\",\"\",ZOZNAM!H1675),\"\")","v":"2022-07-15"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!I1675=\"\",\"\",ZOZNAM!I1675),\"\")","v":"1400 EUR"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!J1675=\"\",\"\",ZOZNAM!J1675),\"\")","v":"2022-06-06"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!K1675=\"\",\"\",ZOZNAM!K1675),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!L1675=\"\",\"\",ZOZNAM!L1675),\"\")","v":"This course deals with factor models for large cross-sections of time-series (large N environment). We build the argument in steps, starting from the simplest multivariate technique, principal components."},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!M1675=\"\",\"\",ZOZNAM!M1675),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!N1675=\"\",\"\",ZOZNAM!N1675),\"\")","v":""},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!O1675=\"\",\"\",ZOZNAM!O1675),\"\")","v":""},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!P1675=\"\",\"\",ZOZNAM!P1675),\"\")","v":""},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!Q1675=\"\",\"\",ZOZNAM!Q1675),\"\")","v":""},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!R1675=\"\",\"\",ZOZNAM!R1675),\"\")","v":""},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!S1675=\"\",\"\",ZOZNAM!S1675),\"\")","v":""},{"$f":"IF($A1684<>\"\",IF(ZOZNAM!T1675=\"\",\"\",ZOZNAM!T1675),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1676)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1676)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1676)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1676)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1676)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1676)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1676)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1676)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1676)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1676)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1676)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1676)),FALSE))),ZOZNAM!G1676>=$C$9),ZOZNAM!A1676,\"\")","v":"BA261"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!B1676=\"\",\"\",ZOZNAM!B1676),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!C1676=\"\",\"\",ZOZNAM!C1676),\"\")","v":"High-Dimensional Time Series Models II: Big Data and Machine Learning"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!D1676=\"\",\"\",ZOZNAM!D1676),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!E1676=\"\",\"\",ZOZNAM!E1676),\"\")","v":5},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!F1676=\"\",\"\",ZOZNAM!F1676),\"\")","v":5},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!G1676=\"\",\"\",ZOZNAM!G1676),\"\")","v":"2022-07-11"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!H1676=\"\",\"\",ZOZNAM!H1676),\"\")","v":"2022-07-15"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!I1676=\"\",\"\",ZOZNAM!I1676),\"\")","v":"1400 EUR"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!J1676=\"\",\"\",ZOZNAM!J1676),\"\")","v":"2022-06-06"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!K1676=\"\",\"\",ZOZNAM!K1676),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!L1676=\"\",\"\",ZOZNAM!L1676),\"\")","v":"The course provides an introduction to the state-of-the-art econometric and statistical techniques used for the analysis of large panels of economic and ﬁnancial time series."},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!M1676=\"\",\"\",ZOZNAM!M1676),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!N1676=\"\",\"\",ZOZNAM!N1676),\"\")","v":""},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!O1676=\"\",\"\",ZOZNAM!O1676),\"\")","v":""},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!P1676=\"\",\"\",ZOZNAM!P1676),\"\")","v":""},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!Q1676=\"\",\"\",ZOZNAM!Q1676),\"\")","v":""},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!R1676=\"\",\"\",ZOZNAM!R1676),\"\")","v":""},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!S1676=\"\",\"\",ZOZNAM!S1676),\"\")","v":""},{"$f":"IF($A1685<>\"\",IF(ZOZNAM!T1676=\"\",\"\",ZOZNAM!T1676),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1677)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1677)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1677)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1677)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1677)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1677)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1677)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1677)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1677)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1677)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1677)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1677)),FALSE))),ZOZNAM!G1677>=$C$9),ZOZNAM!A1677,\"\")","v":"BA262"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!B1677=\"\",\"\",ZOZNAM!B1677),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!C1677=\"\",\"\",ZOZNAM!C1677),\"\")","v":"Introduction to Time Series Analysis"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!D1677=\"\",\"\",ZOZNAM!D1677),\"\")","v":"Online"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!E1677=\"\",\"\",ZOZNAM!E1677),\"\")","v":5},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!F1677=\"\",\"\",ZOZNAM!F1677),\"\")","v":5},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!G1677=\"\",\"\",ZOZNAM!G1677),\"\")","v":"2022-06-20"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!H1677=\"\",\"\",ZOZNAM!H1677),\"\")","v":"2022-06-24"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!I1677=\"\",\"\",ZOZNAM!I1677),\"\")","v":"725 EUR"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!J1677=\"\",\"\",ZOZNAM!J1677),\"\")","v":"2022-06-06"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!K1677=\"\",\"\",ZOZNAM!K1677),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!L1677=\"\",\"\",ZOZNAM!L1677),\"\")","v":"The course is an introduction to time series analysis. The goal of the course is to provide students with the foundational concepts of time series econometrics and the knowledge of some popular time series models. The course, open to anyone, can be especially useful to participants of the Barcelona Macroeconometrics Summer School who want to acquire the necessary knowledge or strengthen their skills in this field, before starting the more specialized courses."},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!M1677=\"\",\"\",ZOZNAM!M1677),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 425 EUR"},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!N1677=\"\",\"\",ZOZNAM!N1677),\"\")","v":""},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!O1677=\"\",\"\",ZOZNAM!O1677),\"\")","v":""},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!P1677=\"\",\"\",ZOZNAM!P1677),\"\")","v":""},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!Q1677=\"\",\"\",ZOZNAM!Q1677),\"\")","v":""},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!R1677=\"\",\"\",ZOZNAM!R1677),\"\")","v":""},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!S1677=\"\",\"\",ZOZNAM!S1677),\"\")","v":""},{"$f":"IF($A1686<>\"\",IF(ZOZNAM!T1677=\"\",\"\",ZOZNAM!T1677),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1678)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1678)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1678)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1678)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1678)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1678)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1678)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1678)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1678)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1678)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1678)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1678)),FALSE))),ZOZNAM!G1678>=$C$9),ZOZNAM!A1678,\"\")","v":"BA263"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!B1678=\"\",\"\",ZOZNAM!B1678),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!C1678=\"\",\"\",ZOZNAM!C1678),\"\")","v":"Time Series Methods for Macroeconomic Analysis I"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!D1678=\"\",\"\",ZOZNAM!D1678),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!E1678=\"\",\"\",ZOZNAM!E1678),\"\")","v":5},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!F1678=\"\",\"\",ZOZNAM!F1678),\"\")","v":5},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!G1678=\"\",\"\",ZOZNAM!G1678),\"\")","v":"2022-06-27"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!H1678=\"\",\"\",ZOZNAM!H1678),\"\")","v":"2022-07-01"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!I1678=\"\",\"\",ZOZNAM!I1678),\"\")","v":"1400 EUR"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!J1678=\"\",\"\",ZOZNAM!J1678),\"\")","v":"2022-06-06"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!K1678=\"\",\"\",ZOZNAM!K1678),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!L1678=\"\",\"\",ZOZNAM!L1678),\"\")","v":"The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular we will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. We also present several extensions like and FAVARs and Time-Varying Coefficients VAR. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students."},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!M1678=\"\",\"\",ZOZNAM!M1678),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!N1678=\"\",\"\",ZOZNAM!N1678),\"\")","v":""},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!O1678=\"\",\"\",ZOZNAM!O1678),\"\")","v":""},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!P1678=\"\",\"\",ZOZNAM!P1678),\"\")","v":""},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!Q1678=\"\",\"\",ZOZNAM!Q1678),\"\")","v":""},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!R1678=\"\",\"\",ZOZNAM!R1678),\"\")","v":""},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!S1678=\"\",\"\",ZOZNAM!S1678),\"\")","v":""},{"$f":"IF($A1687<>\"\",IF(ZOZNAM!T1678=\"\",\"\",ZOZNAM!T1678),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1679)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1679)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1679)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1679)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1679)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1679)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1679)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1679)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1679)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1679)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1679)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1679)),FALSE))),ZOZNAM!G1679>=$C$9),ZOZNAM!A1679,\"\")","v":"BA264"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!B1679=\"\",\"\",ZOZNAM!B1679),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!C1679=\"\",\"\",ZOZNAM!C1679),\"\")","v":"Time Series Methods for Macroeconomic Analysis II"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!D1679=\"\",\"\",ZOZNAM!D1679),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!E1679=\"\",\"\",ZOZNAM!E1679),\"\")","v":5},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!F1679=\"\",\"\",ZOZNAM!F1679),\"\")","v":5},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!G1679=\"\",\"\",ZOZNAM!G1679),\"\")","v":"2022-07-04"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!H1679=\"\",\"\",ZOZNAM!H1679),\"\")","v":"2022-07-08"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!I1679=\"\",\"\",ZOZNAM!I1679),\"\")","v":"1400 EUR"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!J1679=\"\",\"\",ZOZNAM!J1679),\"\")","v":"2022-06-06"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!K1679=\"\",\"\",ZOZNAM!K1679),\"\")","v":"https://bse.eu/study/summer-school/macroeconometrics"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!L1679=\"\",\"\",ZOZNAM!L1679),\"\")","v":"After covering the most popular linear time series models designed to analyze the propagation mechanisms of policy measures and the dynamic effects of economic shocks, we open, in the second part of the course, to the possibility of non-linearities. This is a necessary complement to the lessons learnt on the first part of the course, because building on the previous knowledge, we allow for the fact that the same measures or the same shocks might have different, non-proportional, impact on the main macroeconomic variables, depending on the size, moment and sign of the measures and shocks, Understanding these features imply the need to properly infer the state of the economy in real time, in order to provide timely valuable information to rapidly design and implement the necessary policy responses. This is especially important in the deep COVID-19 recession that we are currently experiencing."},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!M1679=\"\",\"\",ZOZNAM!M1679),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!N1679=\"\",\"\",ZOZNAM!N1679),\"\")","v":""},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!O1679=\"\",\"\",ZOZNAM!O1679),\"\")","v":""},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!P1679=\"\",\"\",ZOZNAM!P1679),\"\")","v":""},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!Q1679=\"\",\"\",ZOZNAM!Q1679),\"\")","v":""},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!R1679=\"\",\"\",ZOZNAM!R1679),\"\")","v":""},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!S1679=\"\",\"\",ZOZNAM!S1679),\"\")","v":""},{"$f":"IF($A1688<>\"\",IF(ZOZNAM!T1679=\"\",\"\",ZOZNAM!T1679),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1680)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1680)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1680)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1680)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1680)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1680)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1680)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1680)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1680)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1680)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1680)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1680)),FALSE))),ZOZNAM!G1680>=$C$9),ZOZNAM!A1680,\"\")","v":"BA265"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!B1680=\"\",\"\",ZOZNAM!B1680),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!C1680=\"\",\"\",ZOZNAM!C1680),\"\")","v":"Dynamic and Non-linear Panel Data Models"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!D1680=\"\",\"\",ZOZNAM!D1680),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!E1680=\"\",\"\",ZOZNAM!E1680),\"\")","v":5},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!F1680=\"\",\"\",ZOZNAM!F1680),\"\")","v":5},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!G1680=\"\",\"\",ZOZNAM!G1680),\"\")","v":"2022-07-04"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!H1680=\"\",\"\",ZOZNAM!H1680),\"\")","v":"2022-07-08"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!I1680=\"\",\"\",ZOZNAM!I1680),\"\")","v":"1250 EUR"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!J1680=\"\",\"\",ZOZNAM!J1680),\"\")","v":"2022-06-06"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!K1680=\"\",\"\",ZOZNAM!K1680),\"\")","v":"https://bse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!L1680=\"\",\"\",ZOZNAM!L1680),\"\")","v":"This course provides up-to-date coverage of dynamic panel data models, discrete choice panel data models as well as censored panel data models and the estimation of dynamic panel data models subject to selection. Apart from a review of relevant theory, the focus of the course is on the practical application of these models to various data contexts: small T – large N, unbalanced panels, rotating panels and pseudo panels constructed from cohort data. Some background in Econometrics is strongly recommended."},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!M1680=\"\",\"\",ZOZNAM!M1680),\"\")","v":"Some background in Econometrics is strongly recommended.\nEarly bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!N1680=\"\",\"\",ZOZNAM!N1680),\"\")","v":""},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!O1680=\"\",\"\",ZOZNAM!O1680),\"\")","v":""},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!P1680=\"\",\"\",ZOZNAM!P1680),\"\")","v":""},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!Q1680=\"\",\"\",ZOZNAM!Q1680),\"\")","v":""},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!R1680=\"\",\"\",ZOZNAM!R1680),\"\")","v":""},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!S1680=\"\",\"\",ZOZNAM!S1680),\"\")","v":""},{"$f":"IF($A1689<>\"\",IF(ZOZNAM!T1680=\"\",\"\",ZOZNAM!T1680),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1681)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1681)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1681)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1681)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1681)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1681)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1681)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1681)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1681)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1681)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1681)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1681)),FALSE))),ZOZNAM!G1681>=$C$9),ZOZNAM!A1681,\"\")","v":"BA266"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!B1681=\"\",\"\",ZOZNAM!B1681),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!C1681=\"\",\"\",ZOZNAM!C1681),\"\")","v":"Dynamic Structural Models for Policy Evaluation"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!D1681=\"\",\"\",ZOZNAM!D1681),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!E1681=\"\",\"\",ZOZNAM!E1681),\"\")","v":5},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!F1681=\"\",\"\",ZOZNAM!F1681),\"\")","v":5},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!G1681=\"\",\"\",ZOZNAM!G1681),\"\")","v":"2022-07-04"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!H1681=\"\",\"\",ZOZNAM!H1681),\"\")","v":"2022-07-08"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!I1681=\"\",\"\",ZOZNAM!I1681),\"\")","v":"1250 EUR"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!J1681=\"\",\"\",ZOZNAM!J1681),\"\")","v":"2022-06-06"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!K1681=\"\",\"\",ZOZNAM!K1681),\"\")","v":"https://bse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!L1681=\"\",\"\",ZOZNAM!L1681),\"\")","v":"This course deals with methods and applications of dynamic discrete choice structural models in Economics. The methods that we will discuss are often used by researchers with interests in Labor Economics, Industrial Organization, Quantitative Macro, Development Economics and many other fields in Applied Micro. The course focuses on the estimation of dynamic discrete choice structural models that allow for modelling the behavior of forward looking agents making discrete decisions. These models constitute a useful tool for policy evaluation and an interesting complement to reduced form approaches. In particular, they have the advantage of allowing for ex-ante policy evaluation, and of providing external validity for the inference, subject to the model assumptions. They also have the benefit of providing a close link between economic theory and empirics, and the possibility of making inference about the predictions of a model."},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!M1681=\"\",\"\",ZOZNAM!M1681),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!N1681=\"\",\"\",ZOZNAM!N1681),\"\")","v":""},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!O1681=\"\",\"\",ZOZNAM!O1681),\"\")","v":""},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!P1681=\"\",\"\",ZOZNAM!P1681),\"\")","v":""},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!Q1681=\"\",\"\",ZOZNAM!Q1681),\"\")","v":""},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!R1681=\"\",\"\",ZOZNAM!R1681),\"\")","v":""},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!S1681=\"\",\"\",ZOZNAM!S1681),\"\")","v":""},{"$f":"IF($A1690<>\"\",IF(ZOZNAM!T1681=\"\",\"\",ZOZNAM!T1681),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1682)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1682)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1682)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1682)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1682)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1682)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1682)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1682)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1682)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1682)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1682)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1682)),FALSE))),ZOZNAM!G1682>=$C$9),ZOZNAM!A1682,\"\")","v":"BA267"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!B1682=\"\",\"\",ZOZNAM!B1682),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!C1682=\"\",\"\",ZOZNAM!C1682),\"\")","v":"Econometrics of Cross-section Data with Applications"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!D1682=\"\",\"\",ZOZNAM!D1682),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!E1682=\"\",\"\",ZOZNAM!E1682),\"\")","v":5},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!F1682=\"\",\"\",ZOZNAM!F1682),\"\")","v":5},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!G1682=\"\",\"\",ZOZNAM!G1682),\"\")","v":"2022-06-27"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!H1682=\"\",\"\",ZOZNAM!H1682),\"\")","v":"2022-07-01"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!I1682=\"\",\"\",ZOZNAM!I1682),\"\")","v":"1250 EUR"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!J1682=\"\",\"\",ZOZNAM!J1682),\"\")","v":"2022-06-06"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!K1682=\"\",\"\",ZOZNAM!K1682),\"\")","v":"https://bse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!L1682=\"\",\"\",ZOZNAM!L1682),\"\")","v":"The use of survey data is becoming a common practice among economists and social scientists both at academic and professional level. The main characteristic of this data is that it contains qualitative information, making the use of the regression model not suitable when we deal with models where the dependent variable is either a choice (having or not a private health insurance) or a status (being or not unemployed), or where the dependent variable only takes non negative values and a significant percentage of the observations are zeroes (expenditure on some particular goods like tobacco).On the other hand, the use of information with a panel data structure is also becoming frequent because it allows to deal with some limitations of the estimation of models with cross-section data."},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!M1682=\"\",\"\",ZOZNAM!M1682),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!N1682=\"\",\"\",ZOZNAM!N1682),\"\")","v":""},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!O1682=\"\",\"\",ZOZNAM!O1682),\"\")","v":""},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!P1682=\"\",\"\",ZOZNAM!P1682),\"\")","v":""},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!Q1682=\"\",\"\",ZOZNAM!Q1682),\"\")","v":""},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!R1682=\"\",\"\",ZOZNAM!R1682),\"\")","v":""},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!S1682=\"\",\"\",ZOZNAM!S1682),\"\")","v":""},{"$f":"IF($A1691<>\"\",IF(ZOZNAM!T1682=\"\",\"\",ZOZNAM!T1682),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1683)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1683)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1683)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1683)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1683)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1683)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1683)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1683)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1683)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1683)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1683)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1683)),FALSE))),ZOZNAM!G1683>=$C$9),ZOZNAM!A1683,\"\")","v":"BA268"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!B1683=\"\",\"\",ZOZNAM!B1683),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!C1683=\"\",\"\",ZOZNAM!C1683),\"\")","v":"Quantitative Methods for Public Policy Evaluation"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!D1683=\"\",\"\",ZOZNAM!D1683),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!E1683=\"\",\"\",ZOZNAM!E1683),\"\")","v":5},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!F1683=\"\",\"\",ZOZNAM!F1683),\"\")","v":5},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!G1683=\"\",\"\",ZOZNAM!G1683),\"\")","v":"2022-07-04"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!H1683=\"\",\"\",ZOZNAM!H1683),\"\")","v":"2022-07-08"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!I1683=\"\",\"\",ZOZNAM!I1683),\"\")","v":"1250 EUR"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!J1683=\"\",\"\",ZOZNAM!J1683),\"\")","v":"2022-06-06"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!K1683=\"\",\"\",ZOZNAM!K1683),\"\")","v":"https://bse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!L1683=\"\",\"\",ZOZNAM!L1683),\"\")","v":"The main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations, natural experiments, the regression discontinuity design, selection on observables, difference-in-differences, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the morning sessions, each approach will be presented and illustrated with specific examples in the areas of labor economics, health economics, and the economics of education. In the afternoon sessions, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare."},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!M1683=\"\",\"\",ZOZNAM!M1683),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!N1683=\"\",\"\",ZOZNAM!N1683),\"\")","v":""},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!O1683=\"\",\"\",ZOZNAM!O1683),\"\")","v":""},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!P1683=\"\",\"\",ZOZNAM!P1683),\"\")","v":""},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!Q1683=\"\",\"\",ZOZNAM!Q1683),\"\")","v":""},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!R1683=\"\",\"\",ZOZNAM!R1683),\"\")","v":""},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!S1683=\"\",\"\",ZOZNAM!S1683),\"\")","v":""},{"$f":"IF($A1692<>\"\",IF(ZOZNAM!T1683=\"\",\"\",ZOZNAM!T1683),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1684)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1684)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1684)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1684)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1684)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1684)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1684)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1684)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1684)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1684)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1684)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1684)),FALSE))),ZOZNAM!G1684>=$C$9),ZOZNAM!A1684,\"\")","v":"BA269"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!B1684=\"\",\"\",ZOZNAM!B1684),\"\")","v":"Barcelona School of Economics (BSE)"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!C1684=\"\",\"\",ZOZNAM!C1684),\"\")","v":"Panel Data Linear Analysis"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!D1684=\"\",\"\",ZOZNAM!D1684),\"\")","v":"Barcelona, Španielsko"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!E1684=\"\",\"\",ZOZNAM!E1684),\"\")","v":5},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!F1684=\"\",\"\",ZOZNAM!F1684),\"\")","v":5},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!G1684=\"\",\"\",ZOZNAM!G1684),\"\")","v":"2022-06-27"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!H1684=\"\",\"\",ZOZNAM!H1684),\"\")","v":"2022-07-01"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!I1684=\"\",\"\",ZOZNAM!I1684),\"\")","v":"1250 EUR"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!J1684=\"\",\"\",ZOZNAM!J1684),\"\")","v":"2022-06-06"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!K1684=\"\",\"\",ZOZNAM!K1684),\"\")","v":"https://bse.eu/study/summer-school/microeconometrics"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!L1684=\"\",\"\",ZOZNAM!L1684),\"\")","v":"This course considers methodological and substantive issues concerning the analysis of panel data. It starts by reviewing basic panel data models emphasizing the benefits and limitations of panel data over time series or cross-section data. Basic estimation and testing methods for random and fixed effects models are reviewed and illustrated using empirical applications using Stata and EViews. Next, problems of endogeneity in panel models are studied and panel instrumental variable estimation methods as well as Hausman type tests are reviewed and applied using an empirical application. The course also covers an introduction to dynamic panel data models. Finally, for large macro panels with a large number of countries observed over a long time series, we study issues of non-stationarity."},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!M1684=\"\",\"\",ZOZNAM!M1684),\"\")","v":"Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!N1684=\"\",\"\",ZOZNAM!N1684),\"\")","v":""},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!O1684=\"\",\"\",ZOZNAM!O1684),\"\")","v":""},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!P1684=\"\",\"\",ZOZNAM!P1684),\"\")","v":""},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!Q1684=\"\",\"\",ZOZNAM!Q1684),\"\")","v":""},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!R1684=\"\",\"\",ZOZNAM!R1684),\"\")","v":""},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!S1684=\"\",\"\",ZOZNAM!S1684),\"\")","v":""},{"$f":"IF($A1693<>\"\",IF(ZOZNAM!T1684=\"\",\"\",ZOZNAM!T1684),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1685)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1685)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1685)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1685)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1685)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1685)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1685)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1685)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1685)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1685)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1685)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1685)),FALSE))),ZOZNAM!G1685>=$C$9),ZOZNAM!A1685,\"\")","v":"UN306"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!B1685=\"\",\"\",ZOZNAM!B1685),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!C1685=\"\",\"\",ZOZNAM!C1685),\"\")","v":"Introduction to R Programming for the Social Sciences"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!D1685=\"\",\"\",ZOZNAM!D1685),\"\")","v":"Online"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!E1685=\"\",\"\",ZOZNAM!E1685),\"\")","v":5},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!F1685=\"\",\"\",ZOZNAM!F1685),\"\")","v":5},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!G1685=\"\",\"\",ZOZNAM!G1685),\"\")","v":"2022-07-04"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!H1685=\"\",\"\",ZOZNAM!H1685),\"\")","v":"2022-07-08"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!I1685=\"\",\"\",ZOZNAM!I1685),\"\")","v":"550 GBP"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!J1685=\"\",\"\",ZOZNAM!J1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!K1685=\"\",\"\",ZOZNAM!K1685),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/0a-introduction-to-r-programming-for-the-social-sciences/"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!L1685=\"\",\"\",ZOZNAM!L1685),\"\")","v":"The course will introduce participants to the open-source statistical software R. R is a highly versatile software environment suitable for introductory and advanced quantitative social science and data analysis. The course offers participants a near-complete foundation to use R in other courses at ESS."},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!M1685=\"\",\"\",ZOZNAM!M1685),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!N1685=\"\",\"\",ZOZNAM!N1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!O1685=\"\",\"\",ZOZNAM!O1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!P1685=\"\",\"\",ZOZNAM!P1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!Q1685=\"\",\"\",ZOZNAM!Q1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!R1685=\"\",\"\",ZOZNAM!R1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!S1685=\"\",\"\",ZOZNAM!S1685),\"\")","v":""},{"$f":"IF($A1694<>\"\",IF(ZOZNAM!T1685=\"\",\"\",ZOZNAM!T1685),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1686)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1686)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1686)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1686)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1686)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1686)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1686)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1686)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1686)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1686)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1686)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1686)),FALSE))),ZOZNAM!G1686>=$C$9),ZOZNAM!A1686,\"\")","v":"UN307"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!B1686=\"\",\"\",ZOZNAM!B1686),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!C1686=\"\",\"\",ZOZNAM!C1686),\"\")","v":"Introduction to R"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!D1686=\"\",\"\",ZOZNAM!D1686),\"\")","v":"Online"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!E1686=\"\",\"\",ZOZNAM!E1686),\"\")","v":1},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!F1686=\"\",\"\",ZOZNAM!F1686),\"\")","v":1},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!G1686=\"\",\"\",ZOZNAM!G1686),\"\")","v":"2022-07-10"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!H1686=\"\",\"\",ZOZNAM!H1686),\"\")","v":"2022-07-10"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!I1686=\"\",\"\",ZOZNAM!I1686),\"\")","v":"75 GBP"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!J1686=\"\",\"\",ZOZNAM!J1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!K1686=\"\",\"\",ZOZNAM!K1686),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1x-2x-3x-introduction-to-r-course/"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!L1686=\"\",\"\",ZOZNAM!L1686),\"\")","v":"The course is designed to prepare students for the programming components of subsequent coursework in your ESS session. It is intended for students without previous experience with or only basic knowledge of R.\n\nThis course provides a basic introduction to the R open-source software environment for statistical computing and graphics, with a focus on skills relevant to social science data analysis. Students will become familiar with the structure of R programming for a variety of applications. Students will learn to import and manage data sets, create objects, install and use packages, conduct basic statistical analyses, and produce basic graphics."},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!M1686=\"\",\"\",ZOZNAM!M1686),\"\")","v":"Tento kurz je ponúkaný ako doplnkový kurz k ďalšiemu, 17,5 alebo 35 hodinovému kurzu letnej školy. Je ponúkaný v 3 dátumoch:\n10.7.2022, 24.7.2022 a 7.8.2022"},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!N1686=\"\",\"\",ZOZNAM!N1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!O1686=\"\",\"\",ZOZNAM!O1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!P1686=\"\",\"\",ZOZNAM!P1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!Q1686=\"\",\"\",ZOZNAM!Q1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!R1686=\"\",\"\",ZOZNAM!R1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!S1686=\"\",\"\",ZOZNAM!S1686),\"\")","v":""},{"$f":"IF($A1695<>\"\",IF(ZOZNAM!T1686=\"\",\"\",ZOZNAM!T1686),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1687)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1687)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1687)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1687)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1687)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1687)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1687)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1687)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1687)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1687)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1687)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1687)),FALSE))),ZOZNAM!G1687>=$C$9),ZOZNAM!A1687,\"\")","v":"UN308"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!B1687=\"\",\"\",ZOZNAM!B1687),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!C1687=\"\",\"\",ZOZNAM!C1687),\"\")","v":"Introduction to Quantitative Text Analysis"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!D1687=\"\",\"\",ZOZNAM!D1687),\"\")","v":"Online"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!E1687=\"\",\"\",ZOZNAM!E1687),\"\")","v":10},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!F1687=\"\",\"\",ZOZNAM!F1687),\"\")","v":12},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!G1687=\"\",\"\",ZOZNAM!G1687),\"\")","v":"2022-07-11"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!H1687=\"\",\"\",ZOZNAM!H1687),\"\")","v":"2022-07-22"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!I1687=\"\",\"\",ZOZNAM!I1687),\"\")","v":"1100 GBP"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!J1687=\"\",\"\",ZOZNAM!J1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!K1687=\"\",\"\",ZOZNAM!K1687),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1b/"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!L1687=\"\",\"\",ZOZNAM!L1687),\"\")","v":"With the massive availability of text data on the web, social scientists increasingly recognize automated text analysis (or “text as data”) as a promising approach for analyzing various kinds of social and political phenomena. This module introduces participants to a variety of its methods and tools. We discuss the underlying theoretical assumptions, substantive applications of these methods, and their implementation in the R statistical programming language. The meetings – which combine lectures and coding sessions in the RStudio Cloud platform – will be hands-on, dealing with practical issues in each step of the research process."},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!M1687=\"\",\"\",ZOZNAM!M1687),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!N1687=\"\",\"\",ZOZNAM!N1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!O1687=\"\",\"\",ZOZNAM!O1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!P1687=\"\",\"\",ZOZNAM!P1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!Q1687=\"\",\"\",ZOZNAM!Q1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!R1687=\"\",\"\",ZOZNAM!R1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!S1687=\"\",\"\",ZOZNAM!S1687),\"\")","v":""},{"$f":"IF($A1696<>\"\",IF(ZOZNAM!T1687=\"\",\"\",ZOZNAM!T1687),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1688)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1688)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1688)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1688)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1688)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1688)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1688)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1688)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1688)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1688)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1688)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1688)),FALSE))),ZOZNAM!G1688>=$C$9),ZOZNAM!A1688,\"\")","v":"UN309"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!B1688=\"\",\"\",ZOZNAM!B1688),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!C1688=\"\",\"\",ZOZNAM!C1688),\"\")","v":"Introduction to Regression"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!D1688=\"\",\"\",ZOZNAM!D1688),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!E1688=\"\",\"\",ZOZNAM!E1688),\"\")","v":10},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!F1688=\"\",\"\",ZOZNAM!F1688),\"\")","v":12},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!G1688=\"\",\"\",ZOZNAM!G1688),\"\")","v":"2022-07-11"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!H1688=\"\",\"\",ZOZNAM!H1688),\"\")","v":"2022-07-22"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!I1688=\"\",\"\",ZOZNAM!I1688),\"\")","v":"1100 GBP"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!J1688=\"\",\"\",ZOZNAM!J1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!K1688=\"\",\"\",ZOZNAM!K1688),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1c-applying-regression/"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!L1688=\"\",\"\",ZOZNAM!L1688),\"\")","v":"This course covers regression analysis, both with continuous, ordinal, and categorical dependent variables. The focus will be on applied regression analysis, yet we will also deal with related topic like data treatment in Stata, interpretations, and how to test regression assumptions. The course includes ordinary least squares regression, logistic, ordinal, and multinomial regression, how to model and interpret non-linear effects as well as different types of statistical interactions. We will also focus on how to deal with breaches of assumptions."},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!M1688=\"\",\"\",ZOZNAM!M1688),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!N1688=\"\",\"\",ZOZNAM!N1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!O1688=\"\",\"\",ZOZNAM!O1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!P1688=\"\",\"\",ZOZNAM!P1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!Q1688=\"\",\"\",ZOZNAM!Q1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!R1688=\"\",\"\",ZOZNAM!R1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!S1688=\"\",\"\",ZOZNAM!S1688),\"\")","v":""},{"$f":"IF($A1697<>\"\",IF(ZOZNAM!T1688=\"\",\"\",ZOZNAM!T1688),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1689)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1689)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1689)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1689)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1689)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1689)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1689)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1689)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1689)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1689)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1689)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1689)),FALSE))),ZOZNAM!G1689>=$C$9),ZOZNAM!A1689,\"\")","v":"UN310"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!B1689=\"\",\"\",ZOZNAM!B1689),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!C1689=\"\",\"\",ZOZNAM!C1689),\"\")","v":"Introduction to Social Network Analysis"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!D1689=\"\",\"\",ZOZNAM!D1689),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!E1689=\"\",\"\",ZOZNAM!E1689),\"\")","v":10},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!F1689=\"\",\"\",ZOZNAM!F1689),\"\")","v":12},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!G1689=\"\",\"\",ZOZNAM!G1689),\"\")","v":"2022-07-11"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!H1689=\"\",\"\",ZOZNAM!H1689),\"\")","v":"2022-07-22"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!I1689=\"\",\"\",ZOZNAM!I1689),\"\")","v":"1100 GBP"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!J1689=\"\",\"\",ZOZNAM!J1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!K1689=\"\",\"\",ZOZNAM!K1689),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1d/"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!L1689=\"\",\"\",ZOZNAM!L1689),\"\")","v":"This course will provide a practical, but comprehensive introduction to the analysis of social networks. Social network analysis takes the view that social research should not solely focus on the individual unit of analysis, but rather emphasises that researchers should also incorporate the social relations (networks) that connect these individual units (actors). For example, we might be interested in friendship among schoolchildren, trust among employees, collaboration among NGOs, exchanges of resources among companies, or conflict among nations."},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!M1689=\"\",\"\",ZOZNAM!M1689),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!N1689=\"\",\"\",ZOZNAM!N1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!O1689=\"\",\"\",ZOZNAM!O1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!P1689=\"\",\"\",ZOZNAM!P1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!Q1689=\"\",\"\",ZOZNAM!Q1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!R1689=\"\",\"\",ZOZNAM!R1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!S1689=\"\",\"\",ZOZNAM!S1689),\"\")","v":""},{"$f":"IF($A1698<>\"\",IF(ZOZNAM!T1689=\"\",\"\",ZOZNAM!T1689),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1690)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1690)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1690)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1690)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1690)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1690)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1690)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1690)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1690)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1690)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1690)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1690)),FALSE))),ZOZNAM!G1690>=$C$9),ZOZNAM!A1690,\"\")","v":"UN311"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!B1690=\"\",\"\",ZOZNAM!B1690),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!C1690=\"\",\"\",ZOZNAM!C1690),\"\")","v":"Statistical Modelling for Multilevel and Complex Data"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!D1690=\"\",\"\",ZOZNAM!D1690),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!E1690=\"\",\"\",ZOZNAM!E1690),\"\")","v":10},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!F1690=\"\",\"\",ZOZNAM!F1690),\"\")","v":12},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!G1690=\"\",\"\",ZOZNAM!G1690),\"\")","v":"2022-07-11"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!H1690=\"\",\"\",ZOZNAM!H1690),\"\")","v":"2022-07-22"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!I1690=\"\",\"\",ZOZNAM!I1690),\"\")","v":"1100 GBP"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!J1690=\"\",\"\",ZOZNAM!J1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!K1690=\"\",\"\",ZOZNAM!K1690),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1e/"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!L1690=\"\",\"\",ZOZNAM!L1690),\"\")","v":"Statistical models are important tools for analysing quantitative social science datasets such as large-scale social surveys. Nevertheless, ‘real life’ social science datasets are rarely simple and straightforward, such as involving a small number of measures from a simple random sample of cases. For this reason, in order to use statistical models effectively in applied research, we often have to add small extensions or adjustments that are designed to respond to complex aspects of our data."},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!M1690=\"\",\"\",ZOZNAM!M1690),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!N1690=\"\",\"\",ZOZNAM!N1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!O1690=\"\",\"\",ZOZNAM!O1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!P1690=\"\",\"\",ZOZNAM!P1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!Q1690=\"\",\"\",ZOZNAM!Q1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!R1690=\"\",\"\",ZOZNAM!R1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!S1690=\"\",\"\",ZOZNAM!S1690),\"\")","v":""},{"$f":"IF($A1699<>\"\",IF(ZOZNAM!T1690=\"\",\"\",ZOZNAM!T1690),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1691)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1691)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1691)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1691)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1691)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1691)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1691)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1691)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1691)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1691)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1691)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1691)),FALSE))),ZOZNAM!G1691>=$C$9),ZOZNAM!A1691,\"\")","v":"UN312"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!B1691=\"\",\"\",ZOZNAM!B1691),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!C1691=\"\",\"\",ZOZNAM!C1691),\"\")","v":"Introduction to Statistics For Survey Data Analysis"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!D1691=\"\",\"\",ZOZNAM!D1691),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!E1691=\"\",\"\",ZOZNAM!E1691),\"\")","v":10},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!F1691=\"\",\"\",ZOZNAM!F1691),\"\")","v":12},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!G1691=\"\",\"\",ZOZNAM!G1691),\"\")","v":"2022-07-11"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!H1691=\"\",\"\",ZOZNAM!H1691),\"\")","v":"2022-07-22"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!I1691=\"\",\"\",ZOZNAM!I1691),\"\")","v":"1100 GBP"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!J1691=\"\",\"\",ZOZNAM!J1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!K1691=\"\",\"\",ZOZNAM!K1691),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1f/"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!L1691=\"\",\"\",ZOZNAM!L1691),\"\")","v":"This course provides an introduction to statistics for social science data analysis. We begin with key concepts – means, deviations, distributions, confidence intervals, and so on – and then move on to the core statistical methods, covering crosstabulation, t-tests, analysis of variance, correlation, and various forms of regression. There is a particular emphasis on analysis of survey data, including survey experiments – however, this remains primarily a course in statistical analysis rather than issues in survey methodology (like sampling or questionnaire design). The methods covered will be demonstrated using the computer package SPSS and a variety of example datasets.  However, students are welcome to use other software and they can also bring their own datasets on which to practise the different methods."},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!M1691=\"\",\"\",ZOZNAM!M1691),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!N1691=\"\",\"\",ZOZNAM!N1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!O1691=\"\",\"\",ZOZNAM!O1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!P1691=\"\",\"\",ZOZNAM!P1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!Q1691=\"\",\"\",ZOZNAM!Q1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!R1691=\"\",\"\",ZOZNAM!R1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!S1691=\"\",\"\",ZOZNAM!S1691),\"\")","v":""},{"$f":"IF($A1700<>\"\",IF(ZOZNAM!T1691=\"\",\"\",ZOZNAM!T1691),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1692)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1692)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1692)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1692)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1692)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1692)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1692)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1692)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1692)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1692)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1692)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1692)),FALSE))),ZOZNAM!G1692>=$C$9),ZOZNAM!A1692,\"\")","v":"UN313"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!B1692=\"\",\"\",ZOZNAM!B1692),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!C1692=\"\",\"\",ZOZNAM!C1692),\"\")","v":"Longitudinal Data Analysis"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!D1692=\"\",\"\",ZOZNAM!D1692),\"\")","v":"Online"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!E1692=\"\",\"\",ZOZNAM!E1692),\"\")","v":10},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!F1692=\"\",\"\",ZOZNAM!F1692),\"\")","v":12},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!G1692=\"\",\"\",ZOZNAM!G1692),\"\")","v":"2022-07-11"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!H1692=\"\",\"\",ZOZNAM!H1692),\"\")","v":"2022-07-22"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!I1692=\"\",\"\",ZOZNAM!I1692),\"\")","v":"1100 GBP"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!J1692=\"\",\"\",ZOZNAM!J1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!K1692=\"\",\"\",ZOZNAM!K1692),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1g/"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!L1692=\"\",\"\",ZOZNAM!L1692),\"\")","v":"Longitudinal data are an essential tool for researchers as they can help answer questions about change in time, causal relationships and the timing of events. They come in many shapes, from traditional panel surveys to social media and sensor data. Because of their additional complexity, specialized statistical models are needed to analyse them."},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!M1692=\"\",\"\",ZOZNAM!M1692),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!N1692=\"\",\"\",ZOZNAM!N1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!O1692=\"\",\"\",ZOZNAM!O1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!P1692=\"\",\"\",ZOZNAM!P1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!Q1692=\"\",\"\",ZOZNAM!Q1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!R1692=\"\",\"\",ZOZNAM!R1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!S1692=\"\",\"\",ZOZNAM!S1692),\"\")","v":""},{"$f":"IF($A1701<>\"\",IF(ZOZNAM!T1692=\"\",\"\",ZOZNAM!T1692),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1693)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1693)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1693)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1693)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1693)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1693)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1693)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1693)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1693)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1693)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1693)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1693)),FALSE))),ZOZNAM!G1693>=$C$9),ZOZNAM!A1693,\"\")","v":"UN314"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!B1693=\"\",\"\",ZOZNAM!B1693),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!C1693=\"\",\"\",ZOZNAM!C1693),\"\")","v":"Qualitative Data Analysis: From Content to Discourse"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!D1693=\"\",\"\",ZOZNAM!D1693),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!E1693=\"\",\"\",ZOZNAM!E1693),\"\")","v":10},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!F1693=\"\",\"\",ZOZNAM!F1693),\"\")","v":12},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!G1693=\"\",\"\",ZOZNAM!G1693),\"\")","v":"2022-07-11"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!H1693=\"\",\"\",ZOZNAM!H1693),\"\")","v":"2022-07-22"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!I1693=\"\",\"\",ZOZNAM!I1693),\"\")","v":"1100 GBP"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!J1693=\"\",\"\",ZOZNAM!J1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!K1693=\"\",\"\",ZOZNAM!K1693),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1h/"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!L1693=\"\",\"\",ZOZNAM!L1693),\"\")","v":"This is a course centred mainly on the analysis of textual data in an interpretive spirit. The main emphasis is on exploring various approaches to qualitative data analysis and interpretation, from thematic analysis and the logic of formalized “coding”, to interpretative approaches such as discourse and narrative analysis. We will discuss how each of these methods reveals different aspects of the data and is grounded in different research perspectives. We will review the nature, strengths and limits of various approaches and get acquainted with their practicalities through a series of practical exercises. We will also explore the implications of various types of analysis on the data generation stage, for qualitative interviewing in particular, and reflect upon issues such as appropriate topic guides, interviewing techniques and transcription practices. (This is not a full course on interviewing though, only the aspects directly connected to the data analysis stage will be discussed)."},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!M1693=\"\",\"\",ZOZNAM!M1693),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!N1693=\"\",\"\",ZOZNAM!N1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!O1693=\"\",\"\",ZOZNAM!O1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!P1693=\"\",\"\",ZOZNAM!P1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!Q1693=\"\",\"\",ZOZNAM!Q1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!R1693=\"\",\"\",ZOZNAM!R1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!S1693=\"\",\"\",ZOZNAM!S1693),\"\")","v":""},{"$f":"IF($A1702<>\"\",IF(ZOZNAM!T1693=\"\",\"\",ZOZNAM!T1693),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1694)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1694)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1694)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1694)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1694)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1694)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1694)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1694)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1694)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1694)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1694)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1694)),FALSE))),ZOZNAM!G1694>=$C$9),ZOZNAM!A1694,\"\")","v":"UN315"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!B1694=\"\",\"\",ZOZNAM!B1694),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!C1694=\"\",\"\",ZOZNAM!C1694),\"\")","v":"Qualitative Interviewing"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!D1694=\"\",\"\",ZOZNAM!D1694),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!E1694=\"\",\"\",ZOZNAM!E1694),\"\")","v":10},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!F1694=\"\",\"\",ZOZNAM!F1694),\"\")","v":12},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!G1694=\"\",\"\",ZOZNAM!G1694),\"\")","v":"2022-07-11"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!H1694=\"\",\"\",ZOZNAM!H1694),\"\")","v":"2022-07-22"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!I1694=\"\",\"\",ZOZNAM!I1694),\"\")","v":"1100 GBP"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!J1694=\"\",\"\",ZOZNAM!J1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!K1694=\"\",\"\",ZOZNAM!K1694),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1i/"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!L1694=\"\",\"\",ZOZNAM!L1694),\"\")","v":"This course aims to introduce participants to the most widely used qualitative research technique in the social sciences – the interview. The course is intended to systematically guide participants through the research process specific to a qualitative interview project, from research design through to conducting interviews, analysing them and writing up the findings. The course will focus on different types of qualitative interview – including in-depth interviews, psycho-social/sensitive interviews, expert interviews and focus group interviews. We reflect on the different techniques at an interviewer’s disposal to encourage participants to share their stories and reflexively discuss how interactions between interviewer and interviewee shape the data that is generated. This is a practical course and participants will gain first-hand experience of conducting and analysing qualitative interviews of different types, as well as critically reflecting upon their own interviewing practice (assumptions and techniques). There will be space for participants to bring their questions about interviews to the course for group discussion."},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!M1694=\"\",\"\",ZOZNAM!M1694),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!N1694=\"\",\"\",ZOZNAM!N1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!O1694=\"\",\"\",ZOZNAM!O1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!P1694=\"\",\"\",ZOZNAM!P1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!Q1694=\"\",\"\",ZOZNAM!Q1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!R1694=\"\",\"\",ZOZNAM!R1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!S1694=\"\",\"\",ZOZNAM!S1694),\"\")","v":""},{"$f":"IF($A1703<>\"\",IF(ZOZNAM!T1694=\"\",\"\",ZOZNAM!T1694),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1695)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1695)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1695)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1695)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1695)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1695)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1695)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1695)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1695)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1695)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1695)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1695)),FALSE))),ZOZNAM!G1695>=$C$9),ZOZNAM!A1695,\"\")","v":"UN316"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!B1695=\"\",\"\",ZOZNAM!B1695),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!C1695=\"\",\"\",ZOZNAM!C1695),\"\")","v":"Beyond OLS: Categorical, Choice, and Count Models"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!D1695=\"\",\"\",ZOZNAM!D1695),\"\")","v":"Online"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!E1695=\"\",\"\",ZOZNAM!E1695),\"\")","v":10},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!F1695=\"\",\"\",ZOZNAM!F1695),\"\")","v":12},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!G1695=\"\",\"\",ZOZNAM!G1695),\"\")","v":"2022-07-11"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!H1695=\"\",\"\",ZOZNAM!H1695),\"\")","v":"2022-07-22"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!I1695=\"\",\"\",ZOZNAM!I1695),\"\")","v":"1100 GBP"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!J1695=\"\",\"\",ZOZNAM!J1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!K1695=\"\",\"\",ZOZNAM!K1695),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1j/"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!L1695=\"\",\"\",ZOZNAM!L1695),\"\")","v":"This course offers an application-oriented introduction to maximum likelihood (ML) based models for categorical, discrete choice, and count data. We begin with the basics of ML estimation and a discussion of the theoretical foundations of categorical, discrete choice, and count-data models. We then focus on exploring logistic and probit regression models and learn how to apply them in the statistical software package Stata. Afterwards, we cover interpretation and hypothesis for testing these kinds of models. Against this background, we will consider more complicated estimation strategies, including ordered logit and probit regression models, multinomial logits, count models, or discrete duration models. The course concludes with an overview of advanced techniques of models for time-series cross-section (TSCS) categorical, discrete choice, and count data."},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!M1695=\"\",\"\",ZOZNAM!M1695),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!N1695=\"\",\"\",ZOZNAM!N1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!O1695=\"\",\"\",ZOZNAM!O1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!P1695=\"\",\"\",ZOZNAM!P1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!Q1695=\"\",\"\",ZOZNAM!Q1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!R1695=\"\",\"\",ZOZNAM!R1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!S1695=\"\",\"\",ZOZNAM!S1695),\"\")","v":""},{"$f":"IF($A1704<>\"\",IF(ZOZNAM!T1695=\"\",\"\",ZOZNAM!T1695),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1696)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1696)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1696)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1696)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1696)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1696)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1696)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1696)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1696)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1696)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1696)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1696)),FALSE))),ZOZNAM!G1696>=$C$9),ZOZNAM!A1696,\"\")","v":"UN317"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!B1696=\"\",\"\",ZOZNAM!B1696),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!C1696=\"\",\"\",ZOZNAM!C1696),\"\")","v":"Introduction to Applied Bayesian Statistics"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!D1696=\"\",\"\",ZOZNAM!D1696),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!E1696=\"\",\"\",ZOZNAM!E1696),\"\")","v":10},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!F1696=\"\",\"\",ZOZNAM!F1696),\"\")","v":12},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!G1696=\"\",\"\",ZOZNAM!G1696),\"\")","v":"2022-07-11"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!H1696=\"\",\"\",ZOZNAM!H1696),\"\")","v":"2022-07-22"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!I1696=\"\",\"\",ZOZNAM!I1696),\"\")","v":"1100 GBP"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!J1696=\"\",\"\",ZOZNAM!J1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!K1696=\"\",\"\",ZOZNAM!K1696),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1k/"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!L1696=\"\",\"\",ZOZNAM!L1696),\"\")","v":"This course introduces the basic theoretical and applied principles of Bayesian statistical analysis. The Bayesian paradigm is particularly well-suited for the types of data that social scientists encounter given its recognition of the mobility of population parameters, its ability to incorporate information from prior research, and its ability to update estimates as new data are observed. The course begins with a discussion of the strengths and weaknesses of the Bayesian approach and the philosophical differences between the Bayesian and frequentist approaches. Most of the course content will focus on estimating and interpreting a variety of models (linear, dichotomous and polytomous choice, poisson, missing data, latent variable, and multilevel) from an applied Bayesian perspective."},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!M1696=\"\",\"\",ZOZNAM!M1696),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!N1696=\"\",\"\",ZOZNAM!N1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!O1696=\"\",\"\",ZOZNAM!O1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!P1696=\"\",\"\",ZOZNAM!P1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!Q1696=\"\",\"\",ZOZNAM!Q1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!R1696=\"\",\"\",ZOZNAM!R1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!S1696=\"\",\"\",ZOZNAM!S1696),\"\")","v":""},{"$f":"IF($A1705<>\"\",IF(ZOZNAM!T1696=\"\",\"\",ZOZNAM!T1696),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1697)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1697)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1697)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1697)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1697)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1697)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1697)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1697)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1697)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1697)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1697)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1697)),FALSE))),ZOZNAM!G1697>=$C$9),ZOZNAM!A1697,\"\")","v":"UN318"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!B1697=\"\",\"\",ZOZNAM!B1697),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!C1697=\"\",\"\",ZOZNAM!C1697),\"\")","v":"Web Scraping and Data Management for Social Scientists"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!D1697=\"\",\"\",ZOZNAM!D1697),\"\")","v":"Online"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!E1697=\"\",\"\",ZOZNAM!E1697),\"\")","v":10},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!F1697=\"\",\"\",ZOZNAM!F1697),\"\")","v":12},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!G1697=\"\",\"\",ZOZNAM!G1697),\"\")","v":"2022-07-11"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!H1697=\"\",\"\",ZOZNAM!H1697),\"\")","v":"2022-07-22"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!I1697=\"\",\"\",ZOZNAM!I1697),\"\")","v":"1100 GBP"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!J1697=\"\",\"\",ZOZNAM!J1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!K1697=\"\",\"\",ZOZNAM!K1697),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1l/"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!L1697=\"\",\"\",ZOZNAM!L1697),\"\")","v":"This course will cover automated data collection from a variety of internet-accessible data sources including a wide range of web sites and Application Programming Interfaces. Students will learn to write software to automate the data-collection process. Data collected automatically over the Internet is generally unstructured, so students will further learn to write software to clean, structure, and visualize their data in preparation for analysis."},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!M1697=\"\",\"\",ZOZNAM!M1697),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!N1697=\"\",\"\",ZOZNAM!N1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!O1697=\"\",\"\",ZOZNAM!O1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!P1697=\"\",\"\",ZOZNAM!P1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!Q1697=\"\",\"\",ZOZNAM!Q1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!R1697=\"\",\"\",ZOZNAM!R1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!S1697=\"\",\"\",ZOZNAM!S1697),\"\")","v":""},{"$f":"IF($A1706<>\"\",IF(ZOZNAM!T1697=\"\",\"\",ZOZNAM!T1697),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1698)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1698)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1698)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1698)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1698)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1698)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1698)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1698)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1698)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1698)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1698)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1698)),FALSE))),ZOZNAM!G1698>=$C$9),ZOZNAM!A1698,\"\")","v":"UN319"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!B1698=\"\",\"\",ZOZNAM!B1698),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!C1698=\"\",\"\",ZOZNAM!C1698),\"\")","v":"Introduction to Quantitative Methods in R"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!D1698=\"\",\"\",ZOZNAM!D1698),\"\")","v":"Online"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!E1698=\"\",\"\",ZOZNAM!E1698),\"\")","v":10},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!F1698=\"\",\"\",ZOZNAM!F1698),\"\")","v":12},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!G1698=\"\",\"\",ZOZNAM!G1698),\"\")","v":"2022-07-11"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!H1698=\"\",\"\",ZOZNAM!H1698),\"\")","v":"2022-07-22"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!I1698=\"\",\"\",ZOZNAM!I1698),\"\")","v":"1100 GBP"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!J1698=\"\",\"\",ZOZNAM!J1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!K1698=\"\",\"\",ZOZNAM!K1698),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1m-introduction-to-quantitative-methods-in-r/"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!L1698=\"\",\"\",ZOZNAM!L1698),\"\")","v":"The course will cover how to analyze quantitative data in the free, open-source software R."},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!M1698=\"\",\"\",ZOZNAM!M1698),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!N1698=\"\",\"\",ZOZNAM!N1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!O1698=\"\",\"\",ZOZNAM!O1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!P1698=\"\",\"\",ZOZNAM!P1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!Q1698=\"\",\"\",ZOZNAM!Q1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!R1698=\"\",\"\",ZOZNAM!R1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!S1698=\"\",\"\",ZOZNAM!S1698),\"\")","v":""},{"$f":"IF($A1707<>\"\",IF(ZOZNAM!T1698=\"\",\"\",ZOZNAM!T1698),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1699)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1699)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1699)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1699)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1699)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1699)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1699)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1699)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1699)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1699)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1699)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1699)),FALSE))),ZOZNAM!G1699>=$C$9),ZOZNAM!A1699,\"\")","v":"UN320"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!B1699=\"\",\"\",ZOZNAM!B1699),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!C1699=\"\",\"\",ZOZNAM!C1699),\"\")","v":"Introduction to GIS, Geospatial Data and Spatial Analysis"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!D1699=\"\",\"\",ZOZNAM!D1699),\"\")","v":"Online"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!E1699=\"\",\"\",ZOZNAM!E1699),\"\")","v":5},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!F1699=\"\",\"\",ZOZNAM!F1699),\"\")","v":5},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!G1699=\"\",\"\",ZOZNAM!G1699),\"\")","v":"2022-07-11"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!H1699=\"\",\"\",ZOZNAM!H1699),\"\")","v":"2022-07-15"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!I1699=\"\",\"\",ZOZNAM!I1699),\"\")","v":"550 GBP"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!J1699=\"\",\"\",ZOZNAM!J1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!K1699=\"\",\"\",ZOZNAM!K1699),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1p-introduction-to-gis-geospatial-data-and-spatial-analysis/"},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!L1699=\"\",\"\",ZOZNAM!L1699),\"\")","v":"This course will provide the student with an in-depth knowledge of spatial data, and how it can be used in a variety of social science applications. They will learn how spatial data is structured, how and where it can be used and how and where it cannot be used. By the end of the course they will be able to apply the skills they have learnt in their own area of study, and there will be time during the course provided to start this will the instructor available to help."},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!M1699=\"\",\"\",ZOZNAM!M1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!N1699=\"\",\"\",ZOZNAM!N1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!O1699=\"\",\"\",ZOZNAM!O1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!P1699=\"\",\"\",ZOZNAM!P1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!Q1699=\"\",\"\",ZOZNAM!Q1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!R1699=\"\",\"\",ZOZNAM!R1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!S1699=\"\",\"\",ZOZNAM!S1699),\"\")","v":""},{"$f":"IF($A1708<>\"\",IF(ZOZNAM!T1699=\"\",\"\",ZOZNAM!T1699),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1700)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1700)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1700)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1700)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1700)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1700)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1700)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1700)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1700)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1700)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1700)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1700)),FALSE))),ZOZNAM!G1700>=$C$9),ZOZNAM!A1700,\"\")","v":"UN321"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!B1700=\"\",\"\",ZOZNAM!B1700),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!C1700=\"\",\"\",ZOZNAM!C1700),\"\")","v":"Quantitative methods for surveying hard-to-reach populations"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!D1700=\"\",\"\",ZOZNAM!D1700),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!E1700=\"\",\"\",ZOZNAM!E1700),\"\")","v":5},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!F1700=\"\",\"\",ZOZNAM!F1700),\"\")","v":5},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!G1700=\"\",\"\",ZOZNAM!G1700),\"\")","v":"2022-07-11"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!H1700=\"\",\"\",ZOZNAM!H1700),\"\")","v":"2022-07-15"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!I1700=\"\",\"\",ZOZNAM!I1700),\"\")","v":"550 GBP"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!J1700=\"\",\"\",ZOZNAM!J1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!K1700=\"\",\"\",ZOZNAM!K1700),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1s-surveying-hard-to-reach/"},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!L1700=\"\",\"\",ZOZNAM!L1700),\"\")","v":"The course presents quantitative research methods to conduct research on rare, marginal, hidden, and elusive populations (also called hard-to-reach populations), such as, for example, sex workers, illegal immigrants, victims of trafficking, and drug users. After introducing and defining hard-to-reach populations, the course describes a wide range of methods: techniques to estimate the size of hard-to-reach populations (capture-recapture), sampling strategies (Respondent Driven Sampling, RDS), and data collection methods to ask questions about sensitive topics, including indirect questioning techniques (e.g. the Item Count Technique, the Randomised Response Technique, etc). Ethical issues arising when investigating hard-to-reach populations will be discussed. The course is applied in nature and includes examples from empirical research."},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!M1700=\"\",\"\",ZOZNAM!M1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!N1700=\"\",\"\",ZOZNAM!N1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!O1700=\"\",\"\",ZOZNAM!O1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!P1700=\"\",\"\",ZOZNAM!P1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!Q1700=\"\",\"\",ZOZNAM!Q1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!R1700=\"\",\"\",ZOZNAM!R1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!S1700=\"\",\"\",ZOZNAM!S1700),\"\")","v":""},{"$f":"IF($A1709<>\"\",IF(ZOZNAM!T1700=\"\",\"\",ZOZNAM!T1700),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1701)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1701)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1701)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1701)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1701)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1701)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1701)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1701)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1701)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1701)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1701)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1701)),FALSE))),ZOZNAM!G1701>=$C$9),ZOZNAM!A1701,\"\")","v":"UN322"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!B1701=\"\",\"\",ZOZNAM!B1701),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!C1701=\"\",\"\",ZOZNAM!C1701),\"\")","v":"Advanced Survey Data Analysis and Survey Experiments"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!D1701=\"\",\"\",ZOZNAM!D1701),\"\")","v":"Online"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!E1701=\"\",\"\",ZOZNAM!E1701),\"\")","v":10},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!F1701=\"\",\"\",ZOZNAM!F1701),\"\")","v":12},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!G1701=\"\",\"\",ZOZNAM!G1701),\"\")","v":"2022-07-25"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!H1701=\"\",\"\",ZOZNAM!H1701),\"\")","v":"2022-08-05"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!I1701=\"\",\"\",ZOZNAM!I1701),\"\")","v":"1100 GBP"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!J1701=\"\",\"\",ZOZNAM!J1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!K1701=\"\",\"\",ZOZNAM!K1701),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2c-advanced-survey-data-analysis-and-survey-experiments/"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!L1701=\"\",\"\",ZOZNAM!L1701),\"\")","v":"This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analysing and enriching survey data, including question-wording, measurement and treatment validity, measurement of reported behaviour as well as social network studies. The course will also focus on designing and analysing survey experiments and current debates about the use of varying samples in these experiments. In addition, the course will consider various types of available samples, and the trade-offs in using certain sample types."},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!M1701=\"\",\"\",ZOZNAM!M1701),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!N1701=\"\",\"\",ZOZNAM!N1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!O1701=\"\",\"\",ZOZNAM!O1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!P1701=\"\",\"\",ZOZNAM!P1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!Q1701=\"\",\"\",ZOZNAM!Q1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!R1701=\"\",\"\",ZOZNAM!R1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!S1701=\"\",\"\",ZOZNAM!S1701),\"\")","v":""},{"$f":"IF($A1710<>\"\",IF(ZOZNAM!T1701=\"\",\"\",ZOZNAM!T1701),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1702)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1702)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1702)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1702)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1702)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1702)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1702)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1702)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1702)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1702)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1702)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1702)),FALSE))),ZOZNAM!G1702>=$C$9),ZOZNAM!A1702,\"\")","v":"UN323"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!B1702=\"\",\"\",ZOZNAM!B1702),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!C1702=\"\",\"\",ZOZNAM!C1702),\"\")","v":"Case Study Methods"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!D1702=\"\",\"\",ZOZNAM!D1702),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!E1702=\"\",\"\",ZOZNAM!E1702),\"\")","v":10},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!F1702=\"\",\"\",ZOZNAM!F1702),\"\")","v":12},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!G1702=\"\",\"\",ZOZNAM!G1702),\"\")","v":"2022-07-25"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!H1702=\"\",\"\",ZOZNAM!H1702),\"\")","v":"2022-08-05"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!I1702=\"\",\"\",ZOZNAM!I1702),\"\")","v":"1100 GBP"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!J1702=\"\",\"\",ZOZNAM!J1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!K1702=\"\",\"\",ZOZNAM!K1702),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2d-case-study-methods/"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!L1702=\"\",\"\",ZOZNAM!L1702),\"\")","v":"We will begin by discussing what a case study is and what it is good for. We will then look at research design, confronting the practical problems of crafting theory-driven and policy-relevant case studies. In the following sessions, we will address the critical issue of case selection and evaluate techniques for choosing cases. After that, we will deal with methods of data collection, including tools for combining qualitative and quantitative sources (e.g. triangulation). The reminder of the course will be dedicated to reviewing approaches for establishing causality (e.g. process tracing, counterfactuals, social experiments) and maximising the leverage of small-n comparisons (e.g. increasing observations, nested analysis, analytic narratives). During this course, students will engage with state-of-the-art applications of case studies drawn from a variety of disciplines and discuss the potential contributions of case study methods to their own research projects."},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!M1702=\"\",\"\",ZOZNAM!M1702),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!N1702=\"\",\"\",ZOZNAM!N1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!O1702=\"\",\"\",ZOZNAM!O1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!P1702=\"\",\"\",ZOZNAM!P1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!Q1702=\"\",\"\",ZOZNAM!Q1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!R1702=\"\",\"\",ZOZNAM!R1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!S1702=\"\",\"\",ZOZNAM!S1702),\"\")","v":""},{"$f":"IF($A1711<>\"\",IF(ZOZNAM!T1702=\"\",\"\",ZOZNAM!T1702),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1703)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1703)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1703)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1703)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1703)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1703)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1703)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1703)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1703)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1703)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1703)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1703)),FALSE))),ZOZNAM!G1703>=$C$9),ZOZNAM!A1703,\"\")","v":"UN324"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!B1703=\"\",\"\",ZOZNAM!B1703),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!C1703=\"\",\"\",ZOZNAM!C1703),\"\")","v":"Multilevel Models: Practical Applications"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!D1703=\"\",\"\",ZOZNAM!D1703),\"\")","v":"Online"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!E1703=\"\",\"\",ZOZNAM!E1703),\"\")","v":10},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!F1703=\"\",\"\",ZOZNAM!F1703),\"\")","v":12},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!G1703=\"\",\"\",ZOZNAM!G1703),\"\")","v":"2022-07-25"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!H1703=\"\",\"\",ZOZNAM!H1703),\"\")","v":"2022-08-05"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!I1703=\"\",\"\",ZOZNAM!I1703),\"\")","v":"1100 GBP"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!J1703=\"\",\"\",ZOZNAM!J1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!K1703=\"\",\"\",ZOZNAM!K1703),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2e-multilevel-models-practical-applications/"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!L1703=\"\",\"\",ZOZNAM!L1703),\"\")","v":"This course is an applied introduction to multilevel modelling that aims to give you deep understanding of the standard model. It does not presume any prior knowledge in multilevel modelling but does require you to be very familiar with multiple regression analysis."},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!M1703=\"\",\"\",ZOZNAM!M1703),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!N1703=\"\",\"\",ZOZNAM!N1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!O1703=\"\",\"\",ZOZNAM!O1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!P1703=\"\",\"\",ZOZNAM!P1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!Q1703=\"\",\"\",ZOZNAM!Q1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!R1703=\"\",\"\",ZOZNAM!R1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!S1703=\"\",\"\",ZOZNAM!S1703),\"\")","v":""},{"$f":"IF($A1712<>\"\",IF(ZOZNAM!T1703=\"\",\"\",ZOZNAM!T1703),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1704)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1704)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1704)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1704)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1704)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1704)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1704)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1704)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1704)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1704)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1704)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1704)),FALSE))),ZOZNAM!G1704>=$C$9),ZOZNAM!A1704,\"\")","v":"UN325"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!B1704=\"\",\"\",ZOZNAM!B1704),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!C1704=\"\",\"\",ZOZNAM!C1704),\"\")","v":"Quantitative Text Analysis"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!D1704=\"\",\"\",ZOZNAM!D1704),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!E1704=\"\",\"\",ZOZNAM!E1704),\"\")","v":10},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!F1704=\"\",\"\",ZOZNAM!F1704),\"\")","v":12},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!G1704=\"\",\"\",ZOZNAM!G1704),\"\")","v":"2022-07-25"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!H1704=\"\",\"\",ZOZNAM!H1704),\"\")","v":"2022-08-05"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!I1704=\"\",\"\",ZOZNAM!I1704),\"\")","v":"1100 GBP"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!J1704=\"\",\"\",ZOZNAM!J1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!K1704=\"\",\"\",ZOZNAM!K1704),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2f/"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!L1704=\"\",\"\",ZOZNAM!L1704),\"\")","v":"This course is designed to provide social science researchers an entry point to computational text analysis. Participants will gain hands-on experience designing and implementing a quantitative text analysis research project and will learn to discuss, evaluate and interpret the results. Each class consists of a 2-hours lecture followed by a 1.5 hours lab in which participants apply the methods covered in the lecture in R."},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!M1704=\"\",\"\",ZOZNAM!M1704),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!N1704=\"\",\"\",ZOZNAM!N1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!O1704=\"\",\"\",ZOZNAM!O1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!P1704=\"\",\"\",ZOZNAM!P1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!Q1704=\"\",\"\",ZOZNAM!Q1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!R1704=\"\",\"\",ZOZNAM!R1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!S1704=\"\",\"\",ZOZNAM!S1704),\"\")","v":""},{"$f":"IF($A1713<>\"\",IF(ZOZNAM!T1704=\"\",\"\",ZOZNAM!T1704),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1705)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1705)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1705)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1705)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1705)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1705)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1705)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1705)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1705)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1705)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1705)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1705)),FALSE))),ZOZNAM!G1705>=$C$9),ZOZNAM!A1705,\"\")","v":"UN326"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!B1705=\"\",\"\",ZOZNAM!B1705),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!C1705=\"\",\"\",ZOZNAM!C1705),\"\")","v":"Panel Data Analysis for Comparative Research"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!D1705=\"\",\"\",ZOZNAM!D1705),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!E1705=\"\",\"\",ZOZNAM!E1705),\"\")","v":10},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!F1705=\"\",\"\",ZOZNAM!F1705),\"\")","v":12},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!G1705=\"\",\"\",ZOZNAM!G1705),\"\")","v":"2022-07-25"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!H1705=\"\",\"\",ZOZNAM!H1705),\"\")","v":"2022-08-05"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!I1705=\"\",\"\",ZOZNAM!I1705),\"\")","v":"1100 GBP"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!J1705=\"\",\"\",ZOZNAM!J1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!K1705=\"\",\"\",ZOZNAM!K1705),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2g-panel-data-analysis-for-comparative-research/"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!L1705=\"\",\"\",ZOZNAM!L1705),\"\")","v":"This course provides a survey of regression models for time series (TS) and time series cross-section (TSCS) data, with an emphasis on modeling dynamics and panel structures.  After a review of the theory and estimation of linear regression and maximum likelihood, we will cover the following topics: modeling time series dynamics using trends, ARIMA models, lagged dependent variables, and seasonality; cointegration and error correction models; modeling cross-sectional variation using fixed and random effects in with either many or few time periods; coping with panel heteroskedasticity; and presentation and interpretation of TS and TSCS models.  Time permitting, we will cover advanced topics included in-sample simulation for panel data, multiple imputation for missing data in panel data, and linkages between panel data and hierarchical linear models."},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!M1705=\"\",\"\",ZOZNAM!M1705),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!N1705=\"\",\"\",ZOZNAM!N1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!O1705=\"\",\"\",ZOZNAM!O1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!P1705=\"\",\"\",ZOZNAM!P1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!Q1705=\"\",\"\",ZOZNAM!Q1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!R1705=\"\",\"\",ZOZNAM!R1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!S1705=\"\",\"\",ZOZNAM!S1705),\"\")","v":""},{"$f":"IF($A1714<>\"\",IF(ZOZNAM!T1705=\"\",\"\",ZOZNAM!T1705),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1706)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1706)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1706)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1706)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1706)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1706)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1706)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1706)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1706)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1706)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1706)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1706)),FALSE))),ZOZNAM!G1706>=$C$9),ZOZNAM!A1706,\"\")","v":"UN327"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!B1706=\"\",\"\",ZOZNAM!B1706),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!C1706=\"\",\"\",ZOZNAM!C1706),\"\")","v":"Mixed Methods Research"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!D1706=\"\",\"\",ZOZNAM!D1706),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!E1706=\"\",\"\",ZOZNAM!E1706),\"\")","v":10},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!F1706=\"\",\"\",ZOZNAM!F1706),\"\")","v":12},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!G1706=\"\",\"\",ZOZNAM!G1706),\"\")","v":"2022-07-25"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!H1706=\"\",\"\",ZOZNAM!H1706),\"\")","v":"2022-08-05"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!I1706=\"\",\"\",ZOZNAM!I1706),\"\")","v":"1100 GBP"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!J1706=\"\",\"\",ZOZNAM!J1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!K1706=\"\",\"\",ZOZNAM!K1706),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2h-mixed-methods/"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!L1706=\"\",\"\",ZOZNAM!L1706),\"\")","v":"Can combinations of different methods improve causal inference and related social-science tasks (theory-building, concept formation, description and measurement)? This course will explore mixed-method research designs that strengthen projects relying on many different methodological traditions: various kinds of qualitative research, regression-type statistical studies, experiments, and a range of machine-learning options. We will consider methodological arguments about efficient and less efficient approaches to mixed-method research for each of these combinations, including optimal case selection, assumptions, and other design considerations that maximize the synergy across methods."},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!M1706=\"\",\"\",ZOZNAM!M1706),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!N1706=\"\",\"\",ZOZNAM!N1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!O1706=\"\",\"\",ZOZNAM!O1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!P1706=\"\",\"\",ZOZNAM!P1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!Q1706=\"\",\"\",ZOZNAM!Q1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!R1706=\"\",\"\",ZOZNAM!R1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!S1706=\"\",\"\",ZOZNAM!S1706),\"\")","v":""},{"$f":"IF($A1715<>\"\",IF(ZOZNAM!T1706=\"\",\"\",ZOZNAM!T1706),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1707)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1707)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1707)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1707)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1707)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1707)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1707)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1707)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1707)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1707)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1707)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1707)),FALSE))),ZOZNAM!G1707>=$C$9),ZOZNAM!A1707,\"\")","v":"UN328"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!B1707=\"\",\"\",ZOZNAM!B1707),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!C1707=\"\",\"\",ZOZNAM!C1707),\"\")","v":"Quantitative Data Analysis and Statistical Graphics with R"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!D1707=\"\",\"\",ZOZNAM!D1707),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!E1707=\"\",\"\",ZOZNAM!E1707),\"\")","v":10},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!F1707=\"\",\"\",ZOZNAM!F1707),\"\")","v":12},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!G1707=\"\",\"\",ZOZNAM!G1707),\"\")","v":"2022-07-25"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!H1707=\"\",\"\",ZOZNAM!H1707),\"\")","v":"2022-08-05"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!I1707=\"\",\"\",ZOZNAM!I1707),\"\")","v":"1100 GBP"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!J1707=\"\",\"\",ZOZNAM!J1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!K1707=\"\",\"\",ZOZNAM!K1707),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2b/"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!L1707=\"\",\"\",ZOZNAM!L1707),\"\")","v":"The course introduces to quantitative social science data analysis using R. It focuses on the practical aspects of data analysis, including the management of social science data. It also shows how patterns within data can be visualised and how statistical models can be illustrated using appropriate diagrams. Consequently, the course cannot introduce basic or advanced statistical concepts, but such concepts are reviewed as appropriate."},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!M1707=\"\",\"\",ZOZNAM!M1707),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!N1707=\"\",\"\",ZOZNAM!N1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!O1707=\"\",\"\",ZOZNAM!O1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!P1707=\"\",\"\",ZOZNAM!P1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!Q1707=\"\",\"\",ZOZNAM!Q1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!R1707=\"\",\"\",ZOZNAM!R1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!S1707=\"\",\"\",ZOZNAM!S1707),\"\")","v":""},{"$f":"IF($A1716<>\"\",IF(ZOZNAM!T1707=\"\",\"\",ZOZNAM!T1707),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1708)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1708)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1708)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1708)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1708)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1708)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1708)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1708)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1708)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1708)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1708)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1708)),FALSE))),ZOZNAM!G1708>=$C$9),ZOZNAM!A1708,\"\")","v":"UN329"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!B1708=\"\",\"\",ZOZNAM!B1708),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!C1708=\"\",\"\",ZOZNAM!C1708),\"\")","v":"Advanced Survey Data Analysis and Survey Experiments"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!D1708=\"\",\"\",ZOZNAM!D1708),\"\")","v":"Online"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!E1708=\"\",\"\",ZOZNAM!E1708),\"\")","v":10},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!F1708=\"\",\"\",ZOZNAM!F1708),\"\")","v":12},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!G1708=\"\",\"\",ZOZNAM!G1708),\"\")","v":"2022-07-25"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!H1708=\"\",\"\",ZOZNAM!H1708),\"\")","v":"2022-08-05"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!I1708=\"\",\"\",ZOZNAM!I1708),\"\")","v":"1100 GBP"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!J1708=\"\",\"\",ZOZNAM!J1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!K1708=\"\",\"\",ZOZNAM!K1708),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2c-advanced-survey-data-analysis-and-survey-experiments/"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!L1708=\"\",\"\",ZOZNAM!L1708),\"\")","v":"This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analysing and enriching survey data, including question-wording, measurement and treatment validity, measurement of reported behaviour as well as social network studies. The course will also focus on designing and analysing survey experiments and current debates about the use of varying samples in these experiments. In addition, the course will consider various types of available samples, and the trade-offs in using certain sample types."},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!M1708=\"\",\"\",ZOZNAM!M1708),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!N1708=\"\",\"\",ZOZNAM!N1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!O1708=\"\",\"\",ZOZNAM!O1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!P1708=\"\",\"\",ZOZNAM!P1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!Q1708=\"\",\"\",ZOZNAM!Q1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!R1708=\"\",\"\",ZOZNAM!R1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!S1708=\"\",\"\",ZOZNAM!S1708),\"\")","v":""},{"$f":"IF($A1717<>\"\",IF(ZOZNAM!T1708=\"\",\"\",ZOZNAM!T1708),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1709)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1709)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1709)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1709)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1709)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1709)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1709)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1709)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1709)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1709)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1709)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1709)),FALSE))),ZOZNAM!G1709>=$C$9),ZOZNAM!A1709,\"\")","v":"UN330"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!B1709=\"\",\"\",ZOZNAM!B1709),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!C1709=\"\",\"\",ZOZNAM!C1709),\"\")","v":"Machine Learning for Social Scientists"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!D1709=\"\",\"\",ZOZNAM!D1709),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!E1709=\"\",\"\",ZOZNAM!E1709),\"\")","v":10},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!F1709=\"\",\"\",ZOZNAM!F1709),\"\")","v":12},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!G1709=\"\",\"\",ZOZNAM!G1709),\"\")","v":"2022-07-25"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!H1709=\"\",\"\",ZOZNAM!H1709),\"\")","v":"2022-08-05"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!I1709=\"\",\"\",ZOZNAM!I1709),\"\")","v":"1100 GBP"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!J1709=\"\",\"\",ZOZNAM!J1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!K1709=\"\",\"\",ZOZNAM!K1709),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/machine-learning/"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!L1709=\"\",\"\",ZOZNAM!L1709),\"\")","v":"This course introduces methods of machine learning for social scientists. The broad objective of machine learning is to uncover patterns in data, either as an exploratory device or to make predictions. The course covers a variety of topics, including supervised, unsupervised, and ensemble learning. We discuss how the general principles of machine learning, as well as specific algorithms. "},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!M1709=\"\",\"\",ZOZNAM!M1709),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!N1709=\"\",\"\",ZOZNAM!N1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!O1709=\"\",\"\",ZOZNAM!O1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!P1709=\"\",\"\",ZOZNAM!P1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!Q1709=\"\",\"\",ZOZNAM!Q1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!R1709=\"\",\"\",ZOZNAM!R1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!S1709=\"\",\"\",ZOZNAM!S1709),\"\")","v":""},{"$f":"IF($A1718<>\"\",IF(ZOZNAM!T1709=\"\",\"\",ZOZNAM!T1709),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1710)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1710)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1710)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1710)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1710)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1710)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1710)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1710)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1710)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1710)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1710)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1710)),FALSE))),ZOZNAM!G1710>=$C$9),ZOZNAM!A1710,\"\")","v":"UN331"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!B1710=\"\",\"\",ZOZNAM!B1710),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!C1710=\"\",\"\",ZOZNAM!C1710),\"\")","v":"Causal Inference and Experiments in the Social Sciences"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!D1710=\"\",\"\",ZOZNAM!D1710),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!E1710=\"\",\"\",ZOZNAM!E1710),\"\")","v":10},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!F1710=\"\",\"\",ZOZNAM!F1710),\"\")","v":12},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!G1710=\"\",\"\",ZOZNAM!G1710),\"\")","v":"2022-07-25"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!H1710=\"\",\"\",ZOZNAM!H1710),\"\")","v":"2022-08-05"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!I1710=\"\",\"\",ZOZNAM!I1710),\"\")","v":"1100 GBP"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!J1710=\"\",\"\",ZOZNAM!J1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!K1710=\"\",\"\",ZOZNAM!K1710),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2k/"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!L1710=\"\",\"\",ZOZNAM!L1710),\"\")","v":"Do campaign messages actually affect public opinion? Does a refugee’s religion affect support for her asylum application? Do legislators respond when made aware of district preferences? This course develops a framework and a set of tools centred around answering causal questions such as these.  We lay foundations in the potential outcomes model, allowing us to identify causal inferences. We discuss why we might conduct field, survey, and laboratory experiments, best practices for designing and registering experiments, how to overcome common problems, and how to analyse experimental data.  We will also address special topics such as interference and mediation.  Using experiments as a foundation, we will examine and apply methods for causal inference from observational data, such as matching, regression adjustment, instruments, and discontinuity designs."},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!M1710=\"\",\"\",ZOZNAM!M1710),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!N1710=\"\",\"\",ZOZNAM!N1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!O1710=\"\",\"\",ZOZNAM!O1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!P1710=\"\",\"\",ZOZNAM!P1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!Q1710=\"\",\"\",ZOZNAM!Q1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!R1710=\"\",\"\",ZOZNAM!R1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!S1710=\"\",\"\",ZOZNAM!S1710),\"\")","v":""},{"$f":"IF($A1719<>\"\",IF(ZOZNAM!T1710=\"\",\"\",ZOZNAM!T1710),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1711)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1711)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1711)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1711)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1711)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1711)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1711)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1711)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1711)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1711)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1711)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1711)),FALSE))),ZOZNAM!G1711>=$C$9),ZOZNAM!A1711,\"\")","v":"UN332"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!B1711=\"\",\"\",ZOZNAM!B1711),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!C1711=\"\",\"\",ZOZNAM!C1711),\"\")","v":"Spatial Econometrics"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!D1711=\"\",\"\",ZOZNAM!D1711),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!E1711=\"\",\"\",ZOZNAM!E1711),\"\")","v":10},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!F1711=\"\",\"\",ZOZNAM!F1711),\"\")","v":12},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!G1711=\"\",\"\",ZOZNAM!G1711),\"\")","v":"2022-07-25"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!H1711=\"\",\"\",ZOZNAM!H1711),\"\")","v":"2022-08-05"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!I1711=\"\",\"\",ZOZNAM!I1711),\"\")","v":"1100 GBP"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!J1711=\"\",\"\",ZOZNAM!J1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!K1711=\"\",\"\",ZOZNAM!K1711),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2l/"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!L1711=\"\",\"\",ZOZNAM!L1711),\"\")","v":"Spatial dependencies are a universal feature in the social sciences. Phenomena as diverse as the occurrence and outcomes of violent mass protests, policy learning and position taking in party competition, or the competitive setting of tax rates to attract foreign direct investment across neighboring jurisdictions, all share a similar feature: actions taken by one actor are shaped in a theoretically meaningful way by the actions of one or more other actors. Spatial econometrics allows us to detect, model and estimate such interdependencies, and to work towards a causal interpretation of such relationships. The theoretical substance lies in the nature of interconnectedness between units, which can be geographic, economic, cultural, strategic etc., thus covering a wide ground of social science applications. This course begins with a data-oriented view of spatial patterns and dependencies in the data, then introduces a theory guided approach to building, estimating, and evaluating spatial and spatiotemporal regression models, and ends with a critical evaluation of the spatial approaches in the context of causal analysis."},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!M1711=\"\",\"\",ZOZNAM!M1711),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!N1711=\"\",\"\",ZOZNAM!N1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!O1711=\"\",\"\",ZOZNAM!O1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!P1711=\"\",\"\",ZOZNAM!P1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!Q1711=\"\",\"\",ZOZNAM!Q1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!R1711=\"\",\"\",ZOZNAM!R1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!S1711=\"\",\"\",ZOZNAM!S1711),\"\")","v":""},{"$f":"IF($A1720<>\"\",IF(ZOZNAM!T1711=\"\",\"\",ZOZNAM!T1711),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1712)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1712)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1712)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1712)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1712)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1712)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1712)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1712)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1712)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1712)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1712)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1712)),FALSE))),ZOZNAM!G1712>=$C$9),ZOZNAM!A1712,\"\")","v":"UN334"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!B1712=\"\",\"\",ZOZNAM!B1712),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!C1712=\"\",\"\",ZOZNAM!C1712),\"\")","v":"Introduction to Probability Theory for MLE, Bayesian Inference and Machine Learning Using R"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!D1712=\"\",\"\",ZOZNAM!D1712),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!E1712=\"\",\"\",ZOZNAM!E1712),\"\")","v":10},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!F1712=\"\",\"\",ZOZNAM!F1712),\"\")","v":12},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!G1712=\"\",\"\",ZOZNAM!G1712),\"\")","v":"2022-07-25"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!H1712=\"\",\"\",ZOZNAM!H1712),\"\")","v":"2022-08-05"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!I1712=\"\",\"\",ZOZNAM!I1712),\"\")","v":"1100 GBP"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!J1712=\"\",\"\",ZOZNAM!J1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!K1712=\"\",\"\",ZOZNAM!K1712),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2m-introduction-to-probability-theory-for-mle-bayesian-inference-and-machine-learning-using-r/"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!L1712=\"\",\"\",ZOZNAM!L1712),\"\")","v":"Students will gain a solid understanding of probability theory in the first week by learning the basics concepts and rules of probability theory. Based on that, students will learn in the second week how probability theory is used to make inferences in different contexts. More specifically, the course will introduce maximum likelihood, Bayesian inference, Markov Chain Monte Carlo techniques and Bayesian networks in their very basic forms. More extensive discussion will be provided by the other corresponding advanced courses in the ESS program."},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!M1712=\"\",\"\",ZOZNAM!M1712),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!N1712=\"\",\"\",ZOZNAM!N1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!O1712=\"\",\"\",ZOZNAM!O1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!P1712=\"\",\"\",ZOZNAM!P1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!Q1712=\"\",\"\",ZOZNAM!Q1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!R1712=\"\",\"\",ZOZNAM!R1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!S1712=\"\",\"\",ZOZNAM!S1712),\"\")","v":""},{"$f":"IF($A1721<>\"\",IF(ZOZNAM!T1712=\"\",\"\",ZOZNAM!T1712),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1713)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1713)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1713)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1713)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1713)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1713)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1713)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1713)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1713)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1713)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1713)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1713)),FALSE))),ZOZNAM!G1713>=$C$9),ZOZNAM!A1713,\"\")","v":"UN335"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!B1713=\"\",\"\",ZOZNAM!B1713),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!C1713=\"\",\"\",ZOZNAM!C1713),\"\")","v":"Confirmatory Factor Analysis and Structural Equation Modelling"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!D1713=\"\",\"\",ZOZNAM!D1713),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!E1713=\"\",\"\",ZOZNAM!E1713),\"\")","v":10},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!F1713=\"\",\"\",ZOZNAM!F1713),\"\")","v":12},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!G1713=\"\",\"\",ZOZNAM!G1713),\"\")","v":"2022-07-25"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!H1713=\"\",\"\",ZOZNAM!H1713),\"\")","v":"2022-08-05"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!I1713=\"\",\"\",ZOZNAM!I1713),\"\")","v":"1100 GBP"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!J1713=\"\",\"\",ZOZNAM!J1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!K1713=\"\",\"\",ZOZNAM!K1713),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2n/"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!L1713=\"\",\"\",ZOZNAM!L1713),\"\")","v":"The course shows how theoretical assumptions concerning measurement models and substantive models can be translated into a structural equation model, and how the model can be estimated and tested with the Mplus 8 computer program. In the first part, we deal with confirmatory factor analysis (CFA), which relates multiple indicators to one (CFA) or several latent variables (Simultaneous Confirmatory Factor Analysis, Bifactor Models and second order confirmatory factor analysis) and multiple-group confirmatory factor analysis. Different specifications of measurement models are tested via confirmatory factor analysis (CFA) as a special case of a structural equation model (SEM) and we will discuss scale building procedures, measurement invariance testing and adequate reliability and validity estimates."},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!M1713=\"\",\"\",ZOZNAM!M1713),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!N1713=\"\",\"\",ZOZNAM!N1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!O1713=\"\",\"\",ZOZNAM!O1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!P1713=\"\",\"\",ZOZNAM!P1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!Q1713=\"\",\"\",ZOZNAM!Q1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!R1713=\"\",\"\",ZOZNAM!R1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!S1713=\"\",\"\",ZOZNAM!S1713),\"\")","v":""},{"$f":"IF($A1722<>\"\",IF(ZOZNAM!T1713=\"\",\"\",ZOZNAM!T1713),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1714)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1714)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1714)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1714)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1714)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1714)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1714)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1714)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1714)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1714)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1714)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1714)),FALSE))),ZOZNAM!G1714>=$C$9),ZOZNAM!A1714,\"\")","v":"UN336"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!B1714=\"\",\"\",ZOZNAM!B1714),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!C1714=\"\",\"\",ZOZNAM!C1714),\"\")","v":"Introduction to Statistics for Social Science Research with SPSS"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!D1714=\"\",\"\",ZOZNAM!D1714),\"\")","v":"Online"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!E1714=\"\",\"\",ZOZNAM!E1714),\"\")","v":10},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!F1714=\"\",\"\",ZOZNAM!F1714),\"\")","v":12},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!G1714=\"\",\"\",ZOZNAM!G1714),\"\")","v":"2022-07-25"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!H1714=\"\",\"\",ZOZNAM!H1714),\"\")","v":"2022-08-05"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!I1714=\"\",\"\",ZOZNAM!I1714),\"\")","v":"1100 GBP"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!J1714=\"\",\"\",ZOZNAM!J1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!K1714=\"\",\"\",ZOZNAM!K1714),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2s/"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!L1714=\"\",\"\",ZOZNAM!L1714),\"\")","v":"The ability to understand quantitative data and to conduct analysis by using a statistical software is increasingly important in academic research as well as in the job market. This course will provide a gentle introduction to quantitative analysis for social science research and to the statistical software SPSS. "},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!M1714=\"\",\"\",ZOZNAM!M1714),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!N1714=\"\",\"\",ZOZNAM!N1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!O1714=\"\",\"\",ZOZNAM!O1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!P1714=\"\",\"\",ZOZNAM!P1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!Q1714=\"\",\"\",ZOZNAM!Q1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!R1714=\"\",\"\",ZOZNAM!R1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!S1714=\"\",\"\",ZOZNAM!S1714),\"\")","v":""},{"$f":"IF($A1723<>\"\",IF(ZOZNAM!T1714=\"\",\"\",ZOZNAM!T1714),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1715)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1715)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1715)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1715)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1715)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1715)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1715)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1715)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1715)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1715)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1715)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1715)),FALSE))),ZOZNAM!G1715>=$C$9),ZOZNAM!A1715,\"\")","v":"UN337"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!B1715=\"\",\"\",ZOZNAM!B1715),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!C1715=\"\",\"\",ZOZNAM!C1715),\"\")","v":"Advanced Social Network Analysis – Statistical Analysis for Cross-sectional and Longitudinal Social Network Analysis"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!D1715=\"\",\"\",ZOZNAM!D1715),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!E1715=\"\",\"\",ZOZNAM!E1715),\"\")","v":5},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!F1715=\"\",\"\",ZOZNAM!F1715),\"\")","v":5},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!G1715=\"\",\"\",ZOZNAM!G1715),\"\")","v":"2022-07-25"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!H1715=\"\",\"\",ZOZNAM!H1715),\"\")","v":"2022-07-29"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!I1715=\"\",\"\",ZOZNAM!I1715),\"\")","v":"550 GBP"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!J1715=\"\",\"\",ZOZNAM!J1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!K1715=\"\",\"\",ZOZNAM!K1715),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2r/"},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!L1715=\"\",\"\",ZOZNAM!L1715),\"\")","v":"This module covers advanced statistical methods for analyzing social network data, focusing on testing hypotheses about network structure (e.g. reciprocity, transitivity, and closure), and the formation of ties based on attributes (e.g. homophily). The first three days provide an in depth discussion of exponential random graph models (also known as ERGM or p* models). We then introduce longitudinal models such as RSiena models (SAOMs) and relational event models.\nSoftware used includes: MPNet and R packages RSiena."},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!M1715=\"\",\"\",ZOZNAM!M1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!N1715=\"\",\"\",ZOZNAM!N1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!O1715=\"\",\"\",ZOZNAM!O1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!P1715=\"\",\"\",ZOZNAM!P1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!Q1715=\"\",\"\",ZOZNAM!Q1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!R1715=\"\",\"\",ZOZNAM!R1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!S1715=\"\",\"\",ZOZNAM!S1715),\"\")","v":""},{"$f":"IF($A1724<>\"\",IF(ZOZNAM!T1715=\"\",\"\",ZOZNAM!T1715),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1716)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1716)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1716)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1716)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1716)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1716)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1716)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1716)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1716)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1716)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1716)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1716)),FALSE))),ZOZNAM!G1716>=$C$9),ZOZNAM!A1716,\"\")","v":"UN338"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!B1716=\"\",\"\",ZOZNAM!B1716),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!C1716=\"\",\"\",ZOZNAM!C1716),\"\")","v":"Advanced Methods for Social Media & Textual Data"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!D1716=\"\",\"\",ZOZNAM!D1716),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!E1716=\"\",\"\",ZOZNAM!E1716),\"\")","v":10},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!F1716=\"\",\"\",ZOZNAM!F1716),\"\")","v":12},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!G1716=\"\",\"\",ZOZNAM!G1716),\"\")","v":"2022-08-08"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!H1716=\"\",\"\",ZOZNAM!H1716),\"\")","v":"2022-08-19"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!I1716=\"\",\"\",ZOZNAM!I1716),\"\")","v":"1100 GBP"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!J1716=\"\",\"\",ZOZNAM!J1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!K1716=\"\",\"\",ZOZNAM!K1716),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3b-advanced-methods-for-social-media-textual-data/"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!L1716=\"\",\"\",ZOZNAM!L1716),\"\")","v":"This course focuses on the research design and data analysis tools used to explore and understand social media and text data. The fundamentals of research design are the same throughout the social sciences, however the topical focus of this class is on computationally intensive data generating processes and the research designs used to understand and manipulate such data at scale."},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!M1716=\"\",\"\",ZOZNAM!M1716),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!N1716=\"\",\"\",ZOZNAM!N1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!O1716=\"\",\"\",ZOZNAM!O1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!P1716=\"\",\"\",ZOZNAM!P1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!Q1716=\"\",\"\",ZOZNAM!Q1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!R1716=\"\",\"\",ZOZNAM!R1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!S1716=\"\",\"\",ZOZNAM!S1716),\"\")","v":""},{"$f":"IF($A1725<>\"\",IF(ZOZNAM!T1716=\"\",\"\",ZOZNAM!T1716),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1717)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1717)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1717)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1717)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1717)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1717)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1717)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1717)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1717)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1717)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1717)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1717)),FALSE))),ZOZNAM!G1717>=$C$9),ZOZNAM!A1717,\"\")","v":"UN339"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!B1717=\"\",\"\",ZOZNAM!B1717),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!C1717=\"\",\"\",ZOZNAM!C1717),\"\")","v":"Computational Methods for Social Data Science: Exploring Society through Visualization and Modelling"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!D1717=\"\",\"\",ZOZNAM!D1717),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!E1717=\"\",\"\",ZOZNAM!E1717),\"\")","v":10},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!F1717=\"\",\"\",ZOZNAM!F1717),\"\")","v":12},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!G1717=\"\",\"\",ZOZNAM!G1717),\"\")","v":"2022-08-08"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!H1717=\"\",\"\",ZOZNAM!H1717),\"\")","v":"2022-08-19"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!I1717=\"\",\"\",ZOZNAM!I1717),\"\")","v":"1100 GBP"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!J1717=\"\",\"\",ZOZNAM!J1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!K1717=\"\",\"\",ZOZNAM!K1717),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3d-social-data-science/"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!L1717=\"\",\"\",ZOZNAM!L1717),\"\")","v":"Increasingly in modern data analysis, graphics and computational statistics are used together to explore and identify complex patterns in data and to make and communicate claims under uncertainty. This course will go beyond traditional ideas of charts, graphs, maps (and also statistics!) to equip you with the critical analysis, design and technical skills to analyse and communicate with data."},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!M1717=\"\",\"\",ZOZNAM!M1717),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!N1717=\"\",\"\",ZOZNAM!N1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!O1717=\"\",\"\",ZOZNAM!O1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!P1717=\"\",\"\",ZOZNAM!P1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!Q1717=\"\",\"\",ZOZNAM!Q1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!R1717=\"\",\"\",ZOZNAM!R1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!S1717=\"\",\"\",ZOZNAM!S1717),\"\")","v":""},{"$f":"IF($A1726<>\"\",IF(ZOZNAM!T1717=\"\",\"\",ZOZNAM!T1717),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1718)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1718)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1718)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1718)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1718)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1718)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1718)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1718)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1718)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1718)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1718)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1718)),FALSE))),ZOZNAM!G1718>=$C$9),ZOZNAM!A1718,\"\")","v":"UN340"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!B1718=\"\",\"\",ZOZNAM!B1718),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!C1718=\"\",\"\",ZOZNAM!C1718),\"\")","v":"Special Topics in Network Analysis"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!D1718=\"\",\"\",ZOZNAM!D1718),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!E1718=\"\",\"\",ZOZNAM!E1718),\"\")","v":10},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!F1718=\"\",\"\",ZOZNAM!F1718),\"\")","v":12},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!G1718=\"\",\"\",ZOZNAM!G1718),\"\")","v":"2022-08-08"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!H1718=\"\",\"\",ZOZNAM!H1718),\"\")","v":"2022-08-19"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!I1718=\"\",\"\",ZOZNAM!I1718),\"\")","v":"1100 GBP"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!J1718=\"\",\"\",ZOZNAM!J1718),\"\")","v":""},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!K1718=\"\",\"\",ZOZNAM!K1718),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3e-special-topics-in-network-analysis/"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!L1718=\"\",\"\",ZOZNAM!L1718),\"\")","v":"This advanced course in social network analysis builds on prior training that students have had in this area, including some prior attention to both descriptive and inferential network analysis.  Topics include missing data, relational event models, community detection, and latent space models.  All students are expected to work (with the guidance and assistance of the instructor) on an empirical research project related to networks, either based on data collected by another scholar (e.g., replication materials from an article or book) or which the student collects themself.  The course culminates with 15-minute, conference-style presentations of research by each student on the final day."},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!M1718=\"\",\"\",ZOZNAM!M1718),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!N1718=\"\",\"\",ZOZNAM!N1718),\"\")","v":"15 minútová prezentácia na konci školenia"},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!O1718=\"\",\"\",ZOZNAM!O1718),\"\")","v":""},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!P1718=\"\",\"\",ZOZNAM!P1718),\"\")","v":""},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!Q1718=\"\",\"\",ZOZNAM!Q1718),\"\")","v":""},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!R1718=\"\",\"\",ZOZNAM!R1718),\"\")","v":""},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!S1718=\"\",\"\",ZOZNAM!S1718),\"\")","v":""},{"$f":"IF($A1727<>\"\",IF(ZOZNAM!T1718=\"\",\"\",ZOZNAM!T1718),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1719)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1719)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1719)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1719)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1719)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1719)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1719)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1719)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1719)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1719)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1719)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1719)),FALSE))),ZOZNAM!G1719>=$C$9),ZOZNAM!A1719,\"\")","v":"UN341"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!B1719=\"\",\"\",ZOZNAM!B1719),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!C1719=\"\",\"\",ZOZNAM!C1719),\"\")","v":"Bayesian Analysis for the Social and Behavioural Sciences"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!D1719=\"\",\"\",ZOZNAM!D1719),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!E1719=\"\",\"\",ZOZNAM!E1719),\"\")","v":10},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!F1719=\"\",\"\",ZOZNAM!F1719),\"\")","v":12},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!G1719=\"\",\"\",ZOZNAM!G1719),\"\")","v":"2022-08-08"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!H1719=\"\",\"\",ZOZNAM!H1719),\"\")","v":"2022-08-19"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!I1719=\"\",\"\",ZOZNAM!I1719),\"\")","v":"1100 GBP"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!J1719=\"\",\"\",ZOZNAM!J1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!K1719=\"\",\"\",ZOZNAM!K1719),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3f-bayesian-analysis/"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!L1719=\"\",\"\",ZOZNAM!L1719),\"\")","v":"In recent decades, there has been an explosion of interest in Bayesian methodologies in the sciences. There are several reasons for this recent interest: first, Bayesian methods often yield easier-to-interpret answers to statistical questions than classical methods; and second, Bayesian methods are applicable in situations where classical methods are difficult or impossible to implement. In this course, you will learn the basics of practical Bayesian data analysis."},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!M1719=\"\",\"\",ZOZNAM!M1719),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!N1719=\"\",\"\",ZOZNAM!N1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!O1719=\"\",\"\",ZOZNAM!O1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!P1719=\"\",\"\",ZOZNAM!P1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!Q1719=\"\",\"\",ZOZNAM!Q1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!R1719=\"\",\"\",ZOZNAM!R1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!S1719=\"\",\"\",ZOZNAM!S1719),\"\")","v":""},{"$f":"IF($A1728<>\"\",IF(ZOZNAM!T1719=\"\",\"\",ZOZNAM!T1719),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1720)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1720)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1720)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1720)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1720)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1720)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1720)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1720)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1720)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1720)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1720)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1720)),FALSE))),ZOZNAM!G1720>=$C$9),ZOZNAM!A1720,\"\")","v":"UN342"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!B1720=\"\",\"\",ZOZNAM!B1720),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!C1720=\"\",\"\",ZOZNAM!C1720),\"\")","v":"Quantitative Methods for Causal Inference and Policy Evaluation"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!D1720=\"\",\"\",ZOZNAM!D1720),\"\")","v":"Online"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!E1720=\"\",\"\",ZOZNAM!E1720),\"\")","v":10},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!F1720=\"\",\"\",ZOZNAM!F1720),\"\")","v":12},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!G1720=\"\",\"\",ZOZNAM!G1720),\"\")","v":"2022-08-08"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!H1720=\"\",\"\",ZOZNAM!H1720),\"\")","v":"2022-08-19"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!I1720=\"\",\"\",ZOZNAM!I1720),\"\")","v":"1100 GBP"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!J1720=\"\",\"\",ZOZNAM!J1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!K1720=\"\",\"\",ZOZNAM!K1720),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3g-methods-for-policy-analysis-and-evaluation/"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!L1720=\"\",\"\",ZOZNAM!L1720),\"\")","v":"Courses\nCourse Schedule\nCourse Description\nCourse Outline\nFees\nFAQ\nGeneral Info\nPlease note: This course will be taught online only. In person study is not available for this course. \n\nAdam Zelizer\n\nAdam Zelizer is an Assistant Professor at the University of Chicago’s Harris School of Public Policy. He studies legislative politics, with a focus on causal inference. His research has been supported by the National Science Foundation, Russell Sage Foundation, Cato Institute, Open Society Foundations, and Abdul Latif Jameel Poverty Action Lab, and his research has been published in the American Political Science Review, Quarterly Journal of Political Science, Legislative Studies Quarterly, and the Journal of Experimental Political Science. He received his Ph.D. in Political Science from Columbia University.\n\nCourse Content\n\nIn this course, students will learn the logic and methods of policy evaluation. We will focus on good research designs that answer important causal questions in public policy. In doing so, we will review the technical skills necessary to conduct credible empirical research such as field experiments, differences-in-differences, instrumental variables, and regression discontinuity designs. More importantly, we will practice the thinking necessary to develop and evaluate good research designs."},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!M1720=\"\",\"\",ZOZNAM!M1720),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!N1720=\"\",\"\",ZOZNAM!N1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!O1720=\"\",\"\",ZOZNAM!O1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!P1720=\"\",\"\",ZOZNAM!P1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!Q1720=\"\",\"\",ZOZNAM!Q1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!R1720=\"\",\"\",ZOZNAM!R1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!S1720=\"\",\"\",ZOZNAM!S1720),\"\")","v":""},{"$f":"IF($A1729<>\"\",IF(ZOZNAM!T1720=\"\",\"\",ZOZNAM!T1720),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1721)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1721)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1721)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1721)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1721)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1721)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1721)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1721)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1721)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1721)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1721)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1721)),FALSE))),ZOZNAM!G1721>=$C$9),ZOZNAM!A1721,\"\")","v":"UN343"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!B1721=\"\",\"\",ZOZNAM!B1721),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!C1721=\"\",\"\",ZOZNAM!C1721),\"\")","v":"Advanced Quantitative Methods"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!D1721=\"\",\"\",ZOZNAM!D1721),\"\")","v":"Colchester, Veľká Británia"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!E1721=\"\",\"\",ZOZNAM!E1721),\"\")","v":10},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!F1721=\"\",\"\",ZOZNAM!F1721),\"\")","v":12},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!G1721=\"\",\"\",ZOZNAM!G1721),\"\")","v":"2022-08-08"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!H1721=\"\",\"\",ZOZNAM!H1721),\"\")","v":"2022-08-19"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!I1721=\"\",\"\",ZOZNAM!I1721),\"\")","v":"1100 GBP"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!J1721=\"\",\"\",ZOZNAM!J1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!K1721=\"\",\"\",ZOZNAM!K1721),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3j-advanced-quantitative-data-analysis/"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!L1721=\"\",\"\",ZOZNAM!L1721),\"\")","v":"Building on students’ knowledge in simple linear regression, this course introduces more\nadvanced statistical methods. We will focus on the following topics:\n1) Sub classification, matching, and propensity score weighting as fundamental strategies to reduce confounding;\n2) Common interpretations of the OLS estimator;\n3) Robust inference with cluster robust standard errors as well as bootstrap estimators;\n4) Classical exposition of omitted variable bias and introduction to causal graphs to select control variables;\n5) Instrumental variable estimation with two-stage least-squares;\n6) Two-way fixed effects and the difference in-difference estimator with panel and cross-sectional data;\n7) Mediation and moderation\nanalysis. The course combines a theoretical introduction to each topic with lab sessions in\nwhich students perform replications of published work in Economics and Political Science.\nStudents are encouraged to bring their own data sets and present their research projects and\nempirical analyses."},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!M1721=\"\",\"\",ZOZNAM!M1721),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!N1721=\"\",\"\",ZOZNAM!N1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!O1721=\"\",\"\",ZOZNAM!O1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!P1721=\"\",\"\",ZOZNAM!P1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!Q1721=\"\",\"\",ZOZNAM!Q1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!R1721=\"\",\"\",ZOZNAM!R1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!S1721=\"\",\"\",ZOZNAM!S1721),\"\")","v":""},{"$f":"IF($A1730<>\"\",IF(ZOZNAM!T1721=\"\",\"\",ZOZNAM!T1721),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1722)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1722)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1722)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1722)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1722)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1722)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1722)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1722)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1722)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1722)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1722)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1722)),FALSE))),ZOZNAM!G1722>=$C$9),ZOZNAM!A1722,\"\")","v":"UN344"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!B1722=\"\",\"\",ZOZNAM!B1722),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!C1722=\"\",\"\",ZOZNAM!C1722),\"\")","v":"Time Series and Panel Models for Dynamic and Heterogeneous Processes"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!D1722=\"\",\"\",ZOZNAM!D1722),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!E1722=\"\",\"\",ZOZNAM!E1722),\"\")","v":10},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!F1722=\"\",\"\",ZOZNAM!F1722),\"\")","v":12},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!G1722=\"\",\"\",ZOZNAM!G1722),\"\")","v":"2022-08-08"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!H1722=\"\",\"\",ZOZNAM!H1722),\"\")","v":"2022-08-19"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!I1722=\"\",\"\",ZOZNAM!I1722),\"\")","v":"1100 GBP"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!J1722=\"\",\"\",ZOZNAM!J1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!K1722=\"\",\"\",ZOZNAM!K1722),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3k/"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!L1722=\"\",\"\",ZOZNAM!L1722),\"\")","v":"This course is designed for students who already have training in basic statistics and\nknowledge of linear regression analysis. The course deals with problems arising from dynamics and combining the time and space dimension in statistical data analysis. In particular, we will work with aggregated time-series data first and then aggregated time-series cross-sectional data e.g. geographic/administrative units over time. This data structure has the advantage of allowing for testing highly general theories with a wide scope but renders data analysis more complicated because one has to consider the time-series aspects (dynamics) and cross-sectional aspects (spatial correlation/unit heterogeneity) at the same time. The course confronts the problems arising from this complex data structure and also provides techniques to control and account for specific complications."},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!M1722=\"\",\"\",ZOZNAM!M1722),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!N1722=\"\",\"\",ZOZNAM!N1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!O1722=\"\",\"\",ZOZNAM!O1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!P1722=\"\",\"\",ZOZNAM!P1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!Q1722=\"\",\"\",ZOZNAM!Q1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!R1722=\"\",\"\",ZOZNAM!R1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!S1722=\"\",\"\",ZOZNAM!S1722),\"\")","v":""},{"$f":"IF($A1731<>\"\",IF(ZOZNAM!T1722=\"\",\"\",ZOZNAM!T1722),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1723)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1723)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1723)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1723)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1723)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1723)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1723)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1723)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1723)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1723)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1723)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1723)),FALSE))),ZOZNAM!G1723>=$C$9),ZOZNAM!A1723,\"\")","v":"UN345"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!B1723=\"\",\"\",ZOZNAM!B1723),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!C1723=\"\",\"\",ZOZNAM!C1723),\"\")","v":"Scaling Methods and Ideal Point Estimation for Surveys and Behaviour"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!D1723=\"\",\"\",ZOZNAM!D1723),\"\")","v":"Colchester, Veľká Británia/Online"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!E1723=\"\",\"\",ZOZNAM!E1723),\"\")","v":10},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!F1723=\"\",\"\",ZOZNAM!F1723),\"\")","v":12},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!G1723=\"\",\"\",ZOZNAM!G1723),\"\")","v":"2022-08-08"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!H1723=\"\",\"\",ZOZNAM!H1723),\"\")","v":"2022-08-19"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!I1723=\"\",\"\",ZOZNAM!I1723),\"\")","v":"1100 GBP"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!J1723=\"\",\"\",ZOZNAM!J1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!K1723=\"\",\"\",ZOZNAM!K1723),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3l-ideal-point-estimation-item-response-theory-and-scaling-methods/"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!L1723=\"\",\"\",ZOZNAM!L1723),\"\")","v":"This course focuses on methods to discover, understand and visualize latent patterns in data and is especially suited to students with projects using survey data and other forms of relational data used in political science, sociology, economics, business, marketing, and psychology. The course introduces students to measurement theory and methods of scaling techniques, integrating Multidimensional Scaling, Item Response Theory, and Ideal Point Estimation. "},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!M1723=\"\",\"\",ZOZNAM!M1723),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!N1723=\"\",\"\",ZOZNAM!N1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!O1723=\"\",\"\",ZOZNAM!O1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!P1723=\"\",\"\",ZOZNAM!P1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!Q1723=\"\",\"\",ZOZNAM!Q1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!R1723=\"\",\"\",ZOZNAM!R1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!S1723=\"\",\"\",ZOZNAM!S1723),\"\")","v":""},{"$f":"IF($A1732<>\"\",IF(ZOZNAM!T1723=\"\",\"\",ZOZNAM!T1723),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1724)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1724)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1724)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1724)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1724)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1724)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1724)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1724)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1724)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1724)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1724)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1724)),FALSE))),ZOZNAM!G1724>=$C$9),ZOZNAM!A1724,\"\")","v":"UN346"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!B1724=\"\",\"\",ZOZNAM!B1724),\"\")","v":"University of Essex - Essex summer school"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!C1724=\"\",\"\",ZOZNAM!C1724),\"\")","v":"Advanced Methods for Text as Data: Natural Language Processing"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!D1724=\"\",\"\",ZOZNAM!D1724),\"\")","v":"Online"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!E1724=\"\",\"\",ZOZNAM!E1724),\"\")","v":10},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!F1724=\"\",\"\",ZOZNAM!F1724),\"\")","v":12},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!G1724=\"\",\"\",ZOZNAM!G1724),\"\")","v":"2022-08-08"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!H1724=\"\",\"\",ZOZNAM!H1724),\"\")","v":"2022-08-19"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!I1724=\"\",\"\",ZOZNAM!I1724),\"\")","v":"1100 GBP"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!J1724=\"\",\"\",ZOZNAM!J1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!K1724=\"\",\"\",ZOZNAM!K1724),\"\")","v":"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3m-advanced-methods-for-text-as-data-natural-language-processing/"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!L1724=\"\",\"\",ZOZNAM!L1724),\"\")","v":"With the recent explosion in the availability of digitized text and the expanded access computing power, social scientists are increasingly leveraging  advanced computational tools for the analysis of text as data. In this course, students will explore the application of many advanced approaches for text-as-data research in the social sciences. "},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!M1724=\"\",\"\",ZOZNAM!M1724),\"\")","v":"Každý ďalší 35 hodinový kurz za 900 GBP"},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!N1724=\"\",\"\",ZOZNAM!N1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!O1724=\"\",\"\",ZOZNAM!O1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!P1724=\"\",\"\",ZOZNAM!P1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!Q1724=\"\",\"\",ZOZNAM!Q1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!R1724=\"\",\"\",ZOZNAM!R1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!S1724=\"\",\"\",ZOZNAM!S1724),\"\")","v":""},{"$f":"IF($A1733<>\"\",IF(ZOZNAM!T1724=\"\",\"\",ZOZNAM!T1724),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1728)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1728)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1728)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1728)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1728)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1728)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1728)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1728)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1728)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1728)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1728)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1728)),FALSE))),ZOZNAM!G1728>=$C$9),ZOZNAM!A1728,\"\")","v":"EC328"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!B1728=\"\",\"\",ZOZNAM!B1728),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!C1728=\"\",\"\",ZOZNAM!C1728),\"\")","v":"Working with Concepts"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!D1728=\"\",\"\",ZOZNAM!D1728),\"\")","v":"Online"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!E1728=\"\",\"\",ZOZNAM!E1728),\"\")","v":5},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!F1728=\"\",\"\",ZOZNAM!F1728),\"\")","v":5},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!G1728=\"\",\"\",ZOZNAM!G1728),\"\")","v":"2022-08-01"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!H1728=\"\",\"\",ZOZNAM!H1728),\"\")","v":"2022-08-05"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!I1728=\"\",\"\",ZOZNAM!I1728),\"\")","v":"930 GBP"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!J1728=\"\",\"\",ZOZNAM!J1728),\"\")","v":"2022-06-15"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!K1728=\"\",\"\",ZOZNAM!K1728),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11955"},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!L1728=\"\",\"\",ZOZNAM!L1728),\"\")","v":"This course will teach you about the presuppositions, aims, and tools of positivist reconstruction and interpretivist elucidation.\n\nWith regard to reconstruction, you will learn how to how to construct concepts by defining and organising properties; how to situate the concept on a ladder of generality; how to build more complex ladders of generality that include diminished subtypes; and how to assess the goodness of a concept using the criteria of external differentiation, internal coherence, explanatory utility, and content validity.\n\nWith regard to elucidation, you will learn basic elucidative strategies derived from ordinary language philosophy and Foucauldian genealogy and how to assess the goodness of social-science concepts by recognising problems of one-sidedness, universalism, and objectivism."},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!M1728=\"\",\"\",ZOZNAM!M1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!N1728=\"\",\"\",ZOZNAM!N1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!O1728=\"\",\"\",ZOZNAM!O1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!P1728=\"\",\"\",ZOZNAM!P1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!Q1728=\"\",\"\",ZOZNAM!Q1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!R1728=\"\",\"\",ZOZNAM!R1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!S1728=\"\",\"\",ZOZNAM!S1728),\"\")","v":""},{"$f":"IF($A1737<>\"\",IF(ZOZNAM!T1728=\"\",\"\",ZOZNAM!T1728),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1729)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1729)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1729)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1729)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1729)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1729)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1729)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1729)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1729)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1729)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1729)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1729)),FALSE))),ZOZNAM!G1729>=$C$9),ZOZNAM!A1729,\"\")","v":"EC329"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!B1729=\"\",\"\",ZOZNAM!B1729),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!C1729=\"\",\"\",ZOZNAM!C1729),\"\")","v":"Machine Learning with Big Data for Social Scientists"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!D1729=\"\",\"\",ZOZNAM!D1729),\"\")","v":"Online"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!E1729=\"\",\"\",ZOZNAM!E1729),\"\")","v":5},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!F1729=\"\",\"\",ZOZNAM!F1729),\"\")","v":5},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!G1729=\"\",\"\",ZOZNAM!G1729),\"\")","v":"2022-08-01"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!H1729=\"\",\"\",ZOZNAM!H1729),\"\")","v":"2022-08-05"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!I1729=\"\",\"\",ZOZNAM!I1729),\"\")","v":"930 GBP"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!J1729=\"\",\"\",ZOZNAM!J1729),\"\")","v":"2022-06-15"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!K1729=\"\",\"\",ZOZNAM!K1729),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11962"},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!L1729=\"\",\"\",ZOZNAM!L1729),\"\")","v":"The course has two core topics:\nconstructing and managing large datasets in R\nmachine learning, with specific focus on providing analytics from large datasets. \nFor the first topic, big data, we start by asking: What is big data? Why it is difficult to work with? We then learn the best solutions in R for working with big data depending on the size of data, from locally stored data objects to databases hosted on the cloud. \n\nFor the second topic, machine learning, we will learn basic concepts such as:\n\nproblem definitions\nobjective function\nbias-variance trade-offs\nparameter tuning. \nSocial scientists have traditionally emphasised the explanation as the primary purpose of statistical analysis. Machine learning has an overlapping but evidently different orientation.\n\nBy contrasting the inference-based approach and prediction-focused approach, you get to understand the fundamental ideas of machine learning.\n\nAfter theoretical discussions, we will apply machine learning techniques to various analytical tasks in social sciences."},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!M1729=\"\",\"\",ZOZNAM!M1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!N1729=\"\",\"\",ZOZNAM!N1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!O1729=\"\",\"\",ZOZNAM!O1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!P1729=\"\",\"\",ZOZNAM!P1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!Q1729=\"\",\"\",ZOZNAM!Q1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!R1729=\"\",\"\",ZOZNAM!R1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!S1729=\"\",\"\",ZOZNAM!S1729),\"\")","v":""},{"$f":"IF($A1738<>\"\",IF(ZOZNAM!T1729=\"\",\"\",ZOZNAM!T1729),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1730)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1730)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1730)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1730)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1730)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1730)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1730)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1730)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1730)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1730)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1730)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1730)),FALSE))),ZOZNAM!G1730>=$C$9),ZOZNAM!A1730,\"\")","v":"EC330"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!B1730=\"\",\"\",ZOZNAM!B1730),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!C1730=\"\",\"\",ZOZNAM!C1730),\"\")","v":"Case Study Research: Method and Practice"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!D1730=\"\",\"\",ZOZNAM!D1730),\"\")","v":"Online"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!E1730=\"\",\"\",ZOZNAM!E1730),\"\")","v":5},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!F1730=\"\",\"\",ZOZNAM!F1730),\"\")","v":5},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!G1730=\"\",\"\",ZOZNAM!G1730),\"\")","v":"2022-07-18"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!H1730=\"\",\"\",ZOZNAM!H1730),\"\")","v":"2022-07-22"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!I1730=\"\",\"\",ZOZNAM!I1730),\"\")","v":"930 GBP"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!J1730=\"\",\"\",ZOZNAM!J1730),\"\")","v":"2022-06-15"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!K1730=\"\",\"\",ZOZNAM!K1730),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11949"},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!L1730=\"\",\"\",ZOZNAM!L1730),\"\")","v":"The course organisation follows the research process. \nWe will cover each of the following topics, step by step.\n\nDay 1\nLearn about the landscape of case study designs and identify the design that fits your research question. Starting with a brief discussion of concepts, we also briefly discuss the role and importance of populations. \n\nDay 2\nExplore the menu of case types available for analysis (typical, most-likely, etc) and learn how to choose the case you need to achieve your research goal. \n\nDay 3\nWe introduce different types of comparisons. You'll learn how they relate to the types of cases and their choice, and the benefits – and limits – of informed comparisons. \n\nDay 4\nWe introduce process tracing and learn how it can be used to study mechanisms. We'll discuss the pros and cons of different types of sources, and their organisation in the research process. \n\nDay 5\nWe arrange all elements in a broader picture and discuss the generalisation challenge in small-n research."},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!M1730=\"\",\"\",ZOZNAM!M1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!N1730=\"\",\"\",ZOZNAM!N1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!O1730=\"\",\"\",ZOZNAM!O1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!P1730=\"\",\"\",ZOZNAM!P1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!Q1730=\"\",\"\",ZOZNAM!Q1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!R1730=\"\",\"\",ZOZNAM!R1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!S1730=\"\",\"\",ZOZNAM!S1730),\"\")","v":""},{"$f":"IF($A1739<>\"\",IF(ZOZNAM!T1730=\"\",\"\",ZOZNAM!T1730),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1732)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1732)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1732)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1732)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1732)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1732)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1732)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1732)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1732)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1732)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1732)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1732)),FALSE))),ZOZNAM!G1732>=$C$9),ZOZNAM!A1732,\"\")","v":"EC332"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!B1732=\"\",\"\",ZOZNAM!B1732),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!C1732=\"\",\"\",ZOZNAM!C1732),\"\")","v":"Qualitative Data Analysis"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!D1732=\"\",\"\",ZOZNAM!D1732),\"\")","v":"Online"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!E1732=\"\",\"\",ZOZNAM!E1732),\"\")","v":5},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!F1732=\"\",\"\",ZOZNAM!F1732),\"\")","v":5},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!G1732=\"\",\"\",ZOZNAM!G1732),\"\")","v":"2022-07-18"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!H1732=\"\",\"\",ZOZNAM!H1732),\"\")","v":"2022-07-22"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!I1732=\"\",\"\",ZOZNAM!I1732),\"\")","v":"930 GBP"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!J1732=\"\",\"\",ZOZNAM!J1732),\"\")","v":"2022-06-15"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!K1732=\"\",\"\",ZOZNAM!K1732),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11945"},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!L1732=\"\",\"\",ZOZNAM!L1732),\"\")","v":"This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn\n\nthe conceptual basis of a strong qualitative research design\ndifferent approaches to code qualitative data\ntechniques to seek patterns across themes and cases\nstrategies to present qualitative findings convincingly\ntips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis in week three."},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!M1732=\"\",\"\",ZOZNAM!M1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!N1732=\"\",\"\",ZOZNAM!N1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!O1732=\"\",\"\",ZOZNAM!O1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!P1732=\"\",\"\",ZOZNAM!P1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!Q1732=\"\",\"\",ZOZNAM!Q1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!R1732=\"\",\"\",ZOZNAM!R1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!S1732=\"\",\"\",ZOZNAM!S1732),\"\")","v":""},{"$f":"IF($A1741<>\"\",IF(ZOZNAM!T1732=\"\",\"\",ZOZNAM!T1732),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1733)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1733)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1733)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1733)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1733)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1733)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1733)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1733)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1733)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1733)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1733)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1733)),FALSE))),ZOZNAM!G1733>=$C$9),ZOZNAM!A1733,\"\")","v":"EC333"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!B1733=\"\",\"\",ZOZNAM!B1733),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!C1733=\"\",\"\",ZOZNAM!C1733),\"\")","v":"Qualitative Data Analysis"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!D1733=\"\",\"\",ZOZNAM!D1733),\"\")","v":"Online"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!E1733=\"\",\"\",ZOZNAM!E1733),\"\")","v":5},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!F1733=\"\",\"\",ZOZNAM!F1733),\"\")","v":5},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!G1733=\"\",\"\",ZOZNAM!G1733),\"\")","v":"2022-07-25"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!H1733=\"\",\"\",ZOZNAM!H1733),\"\")","v":"2022-07-29"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!I1733=\"\",\"\",ZOZNAM!I1733),\"\")","v":"930 GBP"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!J1733=\"\",\"\",ZOZNAM!J1733),\"\")","v":"2022-06-15"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!K1733=\"\",\"\",ZOZNAM!K1733),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11957"},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!L1733=\"\",\"\",ZOZNAM!L1733),\"\")","v":"This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn\n\nthe conceptual basis of a strong qualitative research design\ndifferent approaches to code qualitative data\ntechniques to seek patterns across themes and cases\nstrategies to present qualitative findings convincingly\ntips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis in week three."},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!M1733=\"\",\"\",ZOZNAM!M1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!N1733=\"\",\"\",ZOZNAM!N1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!O1733=\"\",\"\",ZOZNAM!O1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!P1733=\"\",\"\",ZOZNAM!P1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!Q1733=\"\",\"\",ZOZNAM!Q1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!R1733=\"\",\"\",ZOZNAM!R1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!S1733=\"\",\"\",ZOZNAM!S1733),\"\")","v":""},{"$f":"IF($A1742<>\"\",IF(ZOZNAM!T1733=\"\",\"\",ZOZNAM!T1733),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1734)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1734)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1734)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1734)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1734)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1734)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1734)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1734)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1734)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1734)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1734)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1734)),FALSE))),ZOZNAM!G1734>=$C$9),ZOZNAM!A1734,\"\")","v":"EC334"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!B1734=\"\",\"\",ZOZNAM!B1734),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!C1734=\"\",\"\",ZOZNAM!C1734),\"\")","v":"Online Qualitative Data Collection: Methods, Technology and Ethics"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!D1734=\"\",\"\",ZOZNAM!D1734),\"\")","v":"Online"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!E1734=\"\",\"\",ZOZNAM!E1734),\"\")","v":5},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!F1734=\"\",\"\",ZOZNAM!F1734),\"\")","v":5},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!G1734=\"\",\"\",ZOZNAM!G1734),\"\")","v":"2022-08-01"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!H1734=\"\",\"\",ZOZNAM!H1734),\"\")","v":"2022-08-05"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!I1734=\"\",\"\",ZOZNAM!I1734),\"\")","v":"930 GBP"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!J1734=\"\",\"\",ZOZNAM!J1734),\"\")","v":"2022-06-15"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!K1734=\"\",\"\",ZOZNAM!K1734),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/11948"},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!L1734=\"\",\"\",ZOZNAM!L1734),\"\")","v":"Purpose of the course\nThis course focuses on the use of digital technologies for qualitative data collection, from a conceptual to an applied perspective, including logistical, technical and ethical issues.\n\nIt provides hands-on training in online qualitative data collection methods, covering methodological and practical aspects of online focus groups, online interviewing and virtual ethnography (online fieldwork). \n\nBy the end of this course, you will be able to:\n\nunderstand concepts and assumptions of social science methodology using digital technologies\ndesign research with online qualitative data collection\ncollect qualitative data online\naddress technological and ethical issues using digital technologies."},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!M1734=\"\",\"\",ZOZNAM!M1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!N1734=\"\",\"\",ZOZNAM!N1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!O1734=\"\",\"\",ZOZNAM!O1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!P1734=\"\",\"\",ZOZNAM!P1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!Q1734=\"\",\"\",ZOZNAM!Q1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!R1734=\"\",\"\",ZOZNAM!R1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!S1734=\"\",\"\",ZOZNAM!S1734),\"\")","v":""},{"$f":"IF($A1743<>\"\",IF(ZOZNAM!T1734=\"\",\"\",ZOZNAM!T1734),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1750)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1750)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1750)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1750)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1750)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1750)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1750)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1750)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1750)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1750)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1750)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1750)),FALSE))),ZOZNAM!G1750>=$C$9),ZOZNAM!A1750,\"\")","v":"GE283"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!B1750=\"\",\"\",ZOZNAM!B1750),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!C1750=\"\",\"\",ZOZNAM!C1750),\"\")","v":"(Non-)Probability Samples in the Social Sciences"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!D1750=\"\",\"\",ZOZNAM!D1750),\"\")","v":"Online"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!E1750=\"\",\"\",ZOZNAM!E1750),\"\")","v":5},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!F1750=\"\",\"\",ZOZNAM!F1750),\"\")","v":5},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!G1750=\"\",\"\",ZOZNAM!G1750),\"\")","v":"2022-08-08"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!H1750=\"\",\"\",ZOZNAM!H1750),\"\")","v":"2022-08-12"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!I1750=\"\",\"\",ZOZNAM!I1750),\"\")","v":"750 EUR"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!J1750=\"\",\"\",ZOZNAM!J1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!K1750=\"\",\"\",ZOZNAM!K1750),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xD6020B2872F1457BA8AF6B7292B7D5F7"},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!L1750=\"\",\"\",ZOZNAM!L1750),\"\")","v":"The main objective of the course is to provide students with a full overview of the history, theoretical foundations, critical arguments, and accumulated empirical evidence surrounding the debate about probability and nonprobability sample surveys. A focus will be on real-world examples of why and how the choice of sample type matters, including topics such as election polling debacles, mispredictions during the pandemic (e.g., willingness to get vaccinated), and the role that surveys can have in supporting versus debunking fake news."},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!M1750=\"\",\"\",ZOZNAM!M1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!N1750=\"\",\"\",ZOZNAM!N1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!O1750=\"\",\"\",ZOZNAM!O1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!P1750=\"\",\"\",ZOZNAM!P1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!Q1750=\"\",\"\",ZOZNAM!Q1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!R1750=\"\",\"\",ZOZNAM!R1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!S1750=\"\",\"\",ZOZNAM!S1750),\"\")","v":""},{"$f":"IF($A1759<>\"\",IF(ZOZNAM!T1750=\"\",\"\",ZOZNAM!T1750),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1751)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1751)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1751)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1751)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1751)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1751)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1751)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1751)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1751)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1751)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1751)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1751)),FALSE))),ZOZNAM!G1751>=$C$9),ZOZNAM!A1751,\"\")","v":"GE284"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!B1751=\"\",\"\",ZOZNAM!B1751),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!C1751=\"\",\"\",ZOZNAM!C1751),\"\")","v":"Questionnaire Design"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!D1751=\"\",\"\",ZOZNAM!D1751),\"\")","v":"Kolín nad Rýnom, Nemecko"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!E1751=\"\",\"\",ZOZNAM!E1751),\"\")","v":5},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!F1751=\"\",\"\",ZOZNAM!F1751),\"\")","v":5},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!G1751=\"\",\"\",ZOZNAM!G1751),\"\")","v":"2022-08-15"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!H1751=\"\",\"\",ZOZNAM!H1751),\"\")","v":"2022-08-19"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!I1751=\"\",\"\",ZOZNAM!I1751),\"\")","v":"750 EUR"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!J1751=\"\",\"\",ZOZNAM!J1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!K1751=\"\",\"\",ZOZNAM!K1751),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x70FBAD5791C34DEFAD9CAB02BE5E59EA"},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!L1751=\"\",\"\",ZOZNAM!L1751),\"\")","v":"Based on these two pillars of knowledge the course aims to educate participants in their professional reasoning when designing survey questions and questionnaires. Based on the theoretical concepts and experiments discussed in the lectures, participants will be guided and supported in designing and testing topical survey questions during practical sessions and by means of assignments.\nThe examples discussed in the course will mainly be taken from surveys of individuals and households; the business survey will not be covered. The course is not restricted to a specific survey mode; examples will be taken from face-to-face surveys, telephone surveys, web surveys, and mail surveys. Coverage issues, sampling, weighting, nonresponse, and other aspects of survey design will not be covered."},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!M1751=\"\",\"\",ZOZNAM!M1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!N1751=\"\",\"\",ZOZNAM!N1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!O1751=\"\",\"\",ZOZNAM!O1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!P1751=\"\",\"\",ZOZNAM!P1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!Q1751=\"\",\"\",ZOZNAM!Q1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!R1751=\"\",\"\",ZOZNAM!R1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!S1751=\"\",\"\",ZOZNAM!S1751),\"\")","v":""},{"$f":"IF($A1760<>\"\",IF(ZOZNAM!T1751=\"\",\"\",ZOZNAM!T1751),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1752)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1752)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1752)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1752)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1752)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1752)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1752)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1752)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1752)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1752)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1752)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1752)),FALSE))),ZOZNAM!G1752>=$C$9),ZOZNAM!A1752,\"\")","v":"GE285"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!B1752=\"\",\"\",ZOZNAM!B1752),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!C1752=\"\",\"\",ZOZNAM!C1752),\"\")","v":"Introduction to R for Data Analysis"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!D1752=\"\",\"\",ZOZNAM!D1752),\"\")","v":"Online"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!E1752=\"\",\"\",ZOZNAM!E1752),\"\")","v":5},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!F1752=\"\",\"\",ZOZNAM!F1752),\"\")","v":5},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!G1752=\"\",\"\",ZOZNAM!G1752),\"\")","v":"2022-08-15"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!H1752=\"\",\"\",ZOZNAM!H1752),\"\")","v":"2022-08-19"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!I1752=\"\",\"\",ZOZNAM!I1752),\"\")","v":"600 EUR"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!J1752=\"\",\"\",ZOZNAM!J1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!K1752=\"\",\"\",ZOZNAM!K1752),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xBD2E46766CBB4427BB57DB7E0B2F5C6A"},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!L1752=\"\",\"\",ZOZNAM!L1752),\"\")","v":"The open-source software package R is free of charge and offers a variety of standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting."},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!M1752=\"\",\"\",ZOZNAM!M1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!N1752=\"\",\"\",ZOZNAM!N1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!O1752=\"\",\"\",ZOZNAM!O1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!P1752=\"\",\"\",ZOZNAM!P1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!Q1752=\"\",\"\",ZOZNAM!Q1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!R1752=\"\",\"\",ZOZNAM!R1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!S1752=\"\",\"\",ZOZNAM!S1752),\"\")","v":""},{"$f":"IF($A1761<>\"\",IF(ZOZNAM!T1752=\"\",\"\",ZOZNAM!T1752),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1753)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1753)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1753)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1753)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1753)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1753)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1753)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1753)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1753)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1753)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1753)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1753)),FALSE))),ZOZNAM!G1753>=$C$9),ZOZNAM!A1753,\"\")","v":"GE286"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!B1753=\"\",\"\",ZOZNAM!B1753),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!C1753=\"\",\"\",ZOZNAM!C1753),\"\")","v":"Factorial Survey Design"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!D1753=\"\",\"\",ZOZNAM!D1753),\"\")","v":"Kolín nad Rýnom, Nemecko"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!E1753=\"\",\"\",ZOZNAM!E1753),\"\")","v":5},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!F1753=\"\",\"\",ZOZNAM!F1753),\"\")","v":5},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!G1753=\"\",\"\",ZOZNAM!G1753),\"\")","v":"2022-08-15"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!H1753=\"\",\"\",ZOZNAM!H1753),\"\")","v":"2022-08-19"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!I1753=\"\",\"\",ZOZNAM!I1753),\"\")","v":"750 EUR"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!J1753=\"\",\"\",ZOZNAM!J1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!K1753=\"\",\"\",ZOZNAM!K1753),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x441C415B4204486A97782EFECC9F03C9"},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!L1753=\"\",\"\",ZOZNAM!L1753),\"\")","v":"This course provides a theoretical and practical overview of factorial survey methods. Participants will gain practical insights into all the single steps necessary to design a factorial survey experiment: (1) construction of vignettes, (2) selection of an experimental design, (3) drafting and programming of questionnaires (for online surveys as well as paper and pencil surveys), (4) data management, and (5) data analysis techniques (e.g., multilevel analyses, willingness to pay estimates). The course is structured as follows: Instructors will provide an overview on factorial survey experiments and explain practical tasks. Participants work on the tasks in individual “hands on” exercises. For the practical exercises, participants may choose a research question related to their own research (e.g., PhD project)."},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!M1753=\"\",\"\",ZOZNAM!M1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!N1753=\"\",\"\",ZOZNAM!N1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!O1753=\"\",\"\",ZOZNAM!O1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!P1753=\"\",\"\",ZOZNAM!P1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!Q1753=\"\",\"\",ZOZNAM!Q1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!R1753=\"\",\"\",ZOZNAM!R1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!S1753=\"\",\"\",ZOZNAM!S1753),\"\")","v":""},{"$f":"IF($A1762<>\"\",IF(ZOZNAM!T1753=\"\",\"\",ZOZNAM!T1753),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1754)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1754)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1754)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1754)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1754)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1754)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1754)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1754)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1754)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1754)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1754)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1754)),FALSE))),ZOZNAM!G1754>=$C$9),ZOZNAM!A1754,\"\")","v":"GE287"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!B1754=\"\",\"\",ZOZNAM!B1754),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!C1754=\"\",\"\",ZOZNAM!C1754),\"\")","v":"Design and Implementation of Web Surveys"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!D1754=\"\",\"\",ZOZNAM!D1754),\"\")","v":"Online"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!E1754=\"\",\"\",ZOZNAM!E1754),\"\")","v":5},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!F1754=\"\",\"\",ZOZNAM!F1754),\"\")","v":5},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!G1754=\"\",\"\",ZOZNAM!G1754),\"\")","v":"2022-08-15"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!H1754=\"\",\"\",ZOZNAM!H1754),\"\")","v":"2022-08-19"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!I1754=\"\",\"\",ZOZNAM!I1754),\"\")","v":"750 EUR"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!J1754=\"\",\"\",ZOZNAM!J1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!K1754=\"\",\"\",ZOZNAM!K1754),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xC7D057E751D34AF48BC1538385E69384"},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!L1754=\"\",\"\",ZOZNAM!L1754),\"\")","v":"This online course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users' (respondents') experience while interacting with the web-based instrument. Students will also develop basic plans for data collection. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class."},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!M1754=\"\",\"\",ZOZNAM!M1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!N1754=\"\",\"\",ZOZNAM!N1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!O1754=\"\",\"\",ZOZNAM!O1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!P1754=\"\",\"\",ZOZNAM!P1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!Q1754=\"\",\"\",ZOZNAM!Q1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!R1754=\"\",\"\",ZOZNAM!R1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!S1754=\"\",\"\",ZOZNAM!S1754),\"\")","v":""},{"$f":"IF($A1763<>\"\",IF(ZOZNAM!T1754=\"\",\"\",ZOZNAM!T1754),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1755)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1755)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1755)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1755)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1755)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1755)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1755)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1755)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1755)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1755)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1755)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1755)),FALSE))),ZOZNAM!G1755>=$C$9),ZOZNAM!A1755,\"\")","v":"GE288"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!B1755=\"\",\"\",ZOZNAM!B1755),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!C1755=\"\",\"\",ZOZNAM!C1755),\"\")","v":"Applied Multiple Imputation"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!D1755=\"\",\"\",ZOZNAM!D1755),\"\")","v":"Kolín nad Rýnom, Nemecko"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!E1755=\"\",\"\",ZOZNAM!E1755),\"\")","v":5},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!F1755=\"\",\"\",ZOZNAM!F1755),\"\")","v":5},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!G1755=\"\",\"\",ZOZNAM!G1755),\"\")","v":"2022-08-22"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!H1755=\"\",\"\",ZOZNAM!H1755),\"\")","v":"2022-08-26"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!I1755=\"\",\"\",ZOZNAM!I1755),\"\")","v":"750 EUR"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!J1755=\"\",\"\",ZOZNAM!J1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!K1755=\"\",\"\",ZOZNAM!K1755),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x848BB799B3CE4C9482F9B58AC87CBADF"},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!L1755=\"\",\"\",ZOZNAM!L1755),\"\")","v":"The goals of the course are to introduce participants to the basic concepts and statistical foundations of missing data analysis and MI, and to enable them to use MI in their own work. The course puts heavy emphasis on the practical application of MI and on the complex decisions and challenges that researchers are facing in its course. The focus is on MI using iterated chained equations (aka “fully conditional specification”) and its implementation in the software package Stata. Participants should have a good working knowledge of Stata to follow the applied parts of the course and to successfully master the exercises. Participants who are not familiar with Stata may still benefit from the course but will likely find the exercises quite challenging."},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!M1755=\"\",\"\",ZOZNAM!M1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!N1755=\"\",\"\",ZOZNAM!N1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!O1755=\"\",\"\",ZOZNAM!O1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!P1755=\"\",\"\",ZOZNAM!P1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!Q1755=\"\",\"\",ZOZNAM!Q1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!R1755=\"\",\"\",ZOZNAM!R1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!S1755=\"\",\"\",ZOZNAM!S1755),\"\")","v":""},{"$f":"IF($A1764<>\"\",IF(ZOZNAM!T1755=\"\",\"\",ZOZNAM!T1755),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1756)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1756)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1756)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1756)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1756)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1756)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1756)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1756)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1756)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1756)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1756)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1756)),FALSE))),ZOZNAM!G1756>=$C$9),ZOZNAM!A1756,\"\")","v":"GE289"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!B1756=\"\",\"\",ZOZNAM!B1756),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!C1756=\"\",\"\",ZOZNAM!C1756),\"\")","v":"Collecting and Analyzing Longitudinal Social Network Data"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!D1756=\"\",\"\",ZOZNAM!D1756),\"\")","v":"Kolín nad Rýnom, Nemecko"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!E1756=\"\",\"\",ZOZNAM!E1756),\"\")","v":5},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!F1756=\"\",\"\",ZOZNAM!F1756),\"\")","v":5},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!G1756=\"\",\"\",ZOZNAM!G1756),\"\")","v":"2022-08-22"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!H1756=\"\",\"\",ZOZNAM!H1756),\"\")","v":"2022-08-26"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!I1756=\"\",\"\",ZOZNAM!I1756),\"\")","v":"750 EUR"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!J1756=\"\",\"\",ZOZNAM!J1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!K1756=\"\",\"\",ZOZNAM!K1756),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xC6CAE41A047F45079A3DC5DD37DD367D"},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!L1756=\"\",\"\",ZOZNAM!L1756),\"\")","v":"Many social scientists are interested in understanding how social networks emerge and/or how they shape individual behavior. These questions of network formation (“selection”) and network effects (“influence”) concern both human individuals and organizational units. Examples for selection are the emergence of friendship between people or cooperation between firms; examples for influence are adolescents start smoking because of their friends or firms copying other firms' strategies. Selection and influence are inherently dynamic processes, but few social scientists have been trained in collecting, processing, and analyzing longitudinal social network data.\n \nThis course guides participants who intend to collect and/or analyze longitudinal social network data. For this purpose, we rely on a mix of interactive lectures, guided examples, and practical exercises. We use R for all guided examples and exercises, and we use and provide exemplary school-based friendship network data."},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!M1756=\"\",\"\",ZOZNAM!M1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!N1756=\"\",\"\",ZOZNAM!N1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!O1756=\"\",\"\",ZOZNAM!O1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!P1756=\"\",\"\",ZOZNAM!P1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!Q1756=\"\",\"\",ZOZNAM!Q1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!R1756=\"\",\"\",ZOZNAM!R1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!S1756=\"\",\"\",ZOZNAM!S1756),\"\")","v":""},{"$f":"IF($A1765<>\"\",IF(ZOZNAM!T1756=\"\",\"\",ZOZNAM!T1756),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1757)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1757)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1757)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1757)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1757)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1757)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1757)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1757)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1757)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1757)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1757)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1757)),FALSE))),ZOZNAM!G1757>=$C$9),ZOZNAM!A1757,\"\")","v":"GE290"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!B1757=\"\",\"\",ZOZNAM!B1757),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!C1757=\"\",\"\",ZOZNAM!C1757),\"\")","v":"Sampling and Weighting in Survey Statistics"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!D1757=\"\",\"\",ZOZNAM!D1757),\"\")","v":"Online"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!E1757=\"\",\"\",ZOZNAM!E1757),\"\")","v":2},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!F1757=\"\",\"\",ZOZNAM!F1757),\"\")","v":2},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!G1757=\"\",\"\",ZOZNAM!G1757),\"\")","v":"2022-08-22"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!H1757=\"\",\"\",ZOZNAM!H1757),\"\")","v":"2022-08-23"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!I1757=\"\",\"\",ZOZNAM!I1757),\"\")","v":"300 EUR"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!J1757=\"\",\"\",ZOZNAM!J1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!K1757=\"\",\"\",ZOZNAM!K1757),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xAF85B7C396C64B71A550B7FAEC8195BC"},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!L1757=\"\",\"\",ZOZNAM!L1757),\"\")","v":"Methods to analyze data taught in introductory statistics and econometric courses often rely on the assumption that the data are collected in a simple random sampling process. However, in practice rather complex sampling techniques are often used, such as stratification or clustering. In these cases, a weight has to be assigned to the sampled units to account for the sampling design. The course will cover methods to select random samples and weight the sampled units to infer from the single sample to the population. We will discuss the several steps in a weighting process including 1) obtaining the design weights to account for the random sample selection, 2) adjusting the design weights to compensate for nonresponse, and 3) adjusting the weights such that the sample estimates agree with known population totals. The focus of the course is on the intuition of the underlying theory and the statistical methods so that the participants can assess the appropriateness of the methods in their application by themselves. For the course, no prior knowledge on survey statistics is required, but the participants are expected to be comfortable with statistics and to have some experience with data analysis. We will do exercises in R that apply the techniques learned in the lecture. Participants will get the most out of the class if they have prior experience with R."},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!M1757=\"\",\"\",ZOZNAM!M1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!N1757=\"\",\"\",ZOZNAM!N1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!O1757=\"\",\"\",ZOZNAM!O1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!P1757=\"\",\"\",ZOZNAM!P1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!Q1757=\"\",\"\",ZOZNAM!Q1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!R1757=\"\",\"\",ZOZNAM!R1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!S1757=\"\",\"\",ZOZNAM!S1757),\"\")","v":""},{"$f":"IF($A1766<>\"\",IF(ZOZNAM!T1757=\"\",\"\",ZOZNAM!T1757),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1758)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1758)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1758)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1758)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1758)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1758)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1758)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1758)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1758)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1758)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1758)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1758)),FALSE))),ZOZNAM!G1758>=$C$9),ZOZNAM!A1758,\"\")","v":"GE291"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!B1758=\"\",\"\",ZOZNAM!B1758),\"\")","v":"GESIS – Leibniz Institute for Social Sciences"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!C1758=\"\",\"\",ZOZNAM!C1758),\"\")","v":"Mixed-Mode Surveys"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!D1758=\"\",\"\",ZOZNAM!D1758),\"\")","v":"Online"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!E1758=\"\",\"\",ZOZNAM!E1758),\"\")","v":3},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!F1758=\"\",\"\",ZOZNAM!F1758),\"\")","v":3},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!G1758=\"\",\"\",ZOZNAM!G1758),\"\")","v":"2022-08-24"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!H1758=\"\",\"\",ZOZNAM!H1758),\"\")","v":"2022-08-26"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!I1758=\"\",\"\",ZOZNAM!I1758),\"\")","v":"300 EUR"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!J1758=\"\",\"\",ZOZNAM!J1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!K1758=\"\",\"\",ZOZNAM!K1758),\"\")","v":"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xF372F2468FDC4FF88C53C6641E4D13DB"},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!L1758=\"\",\"\",ZOZNAM!L1758),\"\")","v":"In this short course, we provide an overview of empirical evidence related to the benefits and drawbacks of using multiple modes for data collection and outline some recommendations for the implementation of mixed-mode surveys. Specifically, we will cover topics such as mixed-mode-specific questionnaire design considerations, experimental evidence on comparing mixed-mode surveys with single-mode surveys, and optimal strategies of how to implement them. The practical part of the course provides an introduction on statistical methods for testing measurement equivalence of multi-item scales for mixed-mode and mixed-device survey data employing confirmatory factor analysis with multiple groups representing different modes. Furthermore, we demonstrate its use with prepared examples using the programs R-lavaan, Mplus Automation, and Mplus."},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!M1758=\"\",\"\",ZOZNAM!M1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!N1758=\"\",\"\",ZOZNAM!N1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!O1758=\"\",\"\",ZOZNAM!O1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!P1758=\"\",\"\",ZOZNAM!P1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!Q1758=\"\",\"\",ZOZNAM!Q1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!R1758=\"\",\"\",ZOZNAM!R1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!S1758=\"\",\"\",ZOZNAM!S1758),\"\")","v":""},{"$f":"IF($A1767<>\"\",IF(ZOZNAM!T1758=\"\",\"\",ZOZNAM!T1758),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1783)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1783)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1783)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1783)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1783)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1783)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1783)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1783)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1783)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1783)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1783)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1783)),FALSE))),ZOZNAM!G1783>=$C$9),ZOZNAM!A1783,\"\")","v":"EE001"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!B1783=\"\",\"\",ZOZNAM!B1783),\"\")","v":"Environment Europe"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!C1783=\"\",\"\",ZOZNAM!C1783),\"\")","v":"Ecological Economics, Governance and Environmental Sustainability: Business Transformation, ESG Investment and New Sustainable Business Models."},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!D1783=\"\",\"\",ZOZNAM!D1783),\"\")","v":"Oxford, Veľká Británia"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!E1783=\"\",\"\",ZOZNAM!E1783),\"\")","v":5},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!F1783=\"\",\"\",ZOZNAM!F1783),\"\")","v":6},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!G1783=\"\",\"\",ZOZNAM!G1783),\"\")","v":"2022-08-22"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!H1783=\"\",\"\",ZOZNAM!H1783),\"\")","v":"2022-08-27"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!I1783=\"\",\"\",ZOZNAM!I1783),\"\")","v":"4 275 GBP"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!J1783=\"\",\"\",ZOZNAM!J1783),\"\")","v":"2022-07-01"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!K1783=\"\",\"\",ZOZNAM!K1783),\"\")","v":"https://environmenteurope.eu/oxford-spring-2022"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!L1783=\"\",\"\",ZOZNAM!L1783),\"\")","v":"The School will address key elements of the new economy transformation, exploring the cutting edge methods, models and policy and business applications in ecological economics. With a clear sustainable development focus, it will draw on the expertise of a range of disciplines: economics, ecology, physics, environmental sciences, sociology, psychology, complex systems theory, etc. to address the current challenges: climate change, biodiversity loss, resource depletion, water shortages, social cohesion and achieving sustainability. The course will be composed of a theoretical and applied modules and will address multiple elements of the new economy transformation: a systemic vision of sustainability, multiple criteria methods supporting decision making and new tools for measuring progress. Particular emphasis this year will be on the role of business: sustainability transformation, ESG investment and new sustainable business models."},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!M1783=\"\",\"\",ZOZNAM!M1783),\"\")","v":"early bird - 3975 GBP (1.5.2022)"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!N1783=\"\",\"\",ZOZNAM!N1783),\"\")","v":"áno - skupinový projekt"},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!O1783=\"\",\"\",ZOZNAM!O1783),\"\")","v":""},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!P1783=\"\",\"\",ZOZNAM!P1783),\"\")","v":""},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!Q1783=\"\",\"\",ZOZNAM!Q1783),\"\")","v":""},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!R1783=\"\",\"\",ZOZNAM!R1783),\"\")","v":""},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!S1783=\"\",\"\",ZOZNAM!S1783),\"\")","v":""},{"$f":"IF($A1792<>\"\",IF(ZOZNAM!T1783=\"\",\"\",ZOZNAM!T1783),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1784)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1784)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1784)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1784)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1784)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1784)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1784)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1784)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1784)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1784)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1784)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1784)),FALSE))),ZOZNAM!G1784>=$C$9),ZOZNAM!A1784,\"\")","v":"PT036"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!B1784=\"\",\"\",ZOZNAM!B1784),\"\")","v":"PTV Group"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!C1784=\"\",\"\",ZOZNAM!C1784),\"\")","v":"PTV Visum - Introduction to Macroscopic Network Modelling"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!D1784=\"\",\"\",ZOZNAM!D1784),\"\")","v":"Online"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!E1784=\"\",\"\",ZOZNAM!E1784),\"\")","v":3},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!F1784=\"\",\"\",ZOZNAM!F1784),\"\")","v":3},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!G1784=\"\",\"\",ZOZNAM!G1784),\"\")","v":"2022-06-07"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!H1784=\"\",\"\",ZOZNAM!H1784),\"\")","v":"2022-06-09"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!I1784=\"\",\"\",ZOZNAM!I1784),\"\")","v":"1 350 GBP"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!J1784=\"\",\"\",ZOZNAM!J1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!K1784=\"\",\"\",ZOZNAM!K1784),\"\")","v":"https://www.ptvgroup.com/en/training/courses/tr-t0101/"},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!L1784=\"\",\"\",ZOZNAM!L1784),\"\")","v":"You will learn how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. We will acquaint you with the description of procedure sequences including the procedures for private transport assignment as well as a common procedure for public transport assignment. We will use the PTV Visum Scenario manager to illustrate how to construct a base scenario and multiple planning scenarios and how to work with these scenarios.\n\nThis course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract."},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!M1784=\"\",\"\",ZOZNAM!M1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!N1784=\"\",\"\",ZOZNAM!N1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!O1784=\"\",\"\",ZOZNAM!O1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!P1784=\"\",\"\",ZOZNAM!P1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!Q1784=\"\",\"\",ZOZNAM!Q1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!R1784=\"\",\"\",ZOZNAM!R1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!S1784=\"\",\"\",ZOZNAM!S1784),\"\")","v":""},{"$f":"IF($A1793<>\"\",IF(ZOZNAM!T1784=\"\",\"\",ZOZNAM!T1784),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1786)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1786)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1786)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1786)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1786)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1786)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1786)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1786)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1786)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1786)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1786)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1786)),FALSE))),ZOZNAM!G1786>=$C$9),ZOZNAM!A1786,\"\")","v":"SH031"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!B1786=\"\",\"\",ZOZNAM!B1786),\"\")","v":"Swiss School of Public Health"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!C1786=\"\",\"\",ZOZNAM!C1786),\"\")","v":"Strategic public health policy and planning in times of uncertainty: Using systems modelling for evidence-based decision making"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!D1786=\"\",\"\",ZOZNAM!D1786),\"\")","v":"Hybrid"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!E1786=\"\",\"\",ZOZNAM!E1786),\"\")","v":3},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!F1786=\"\",\"\",ZOZNAM!F1786),\"\")","v":3},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!G1786=\"\",\"\",ZOZNAM!G1786),\"\")","v":"2022-08-22"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!H1786=\"\",\"\",ZOZNAM!H1786),\"\")","v":"2022-08-24"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!I1786=\"\",\"\",ZOZNAM!I1786),\"\")","v":"1 200 CHF"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!J1786=\"\",\"\",ZOZNAM!J1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!K1786=\"\",\"\",ZOZNAM!K1786),\"\")","v":"https://www.ssph-lugano-summerschool.ch/courses/strategic-public-health-policy-and-planning-decisions-in-times-of-uncertainty-using-system-modelling-for-evidence-based-decision-making"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!L1786=\"\",\"\",ZOZNAM!L1786),\"\")","v":"This 3-daycourse will expose students to:\n\nThe ‘what and why’ of systems modelling and simulation\nReal-world applications that informed policy and planning through the participatory development of decision support tools\nExposure to different systems modelling methods including their practical application\nA hands-on approach to building simple- and intermediate-level prototype models with interactive user interfaces"},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!M1786=\"\",\"\",ZOZNAM!M1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!N1786=\"\",\"\",ZOZNAM!N1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!O1786=\"\",\"\",ZOZNAM!O1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!P1786=\"\",\"\",ZOZNAM!P1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!Q1786=\"\",\"\",ZOZNAM!Q1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!R1786=\"\",\"\",ZOZNAM!R1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!S1786=\"\",\"\",ZOZNAM!S1786),\"\")","v":""},{"$f":"IF($A1795<>\"\",IF(ZOZNAM!T1786=\"\",\"\",ZOZNAM!T1786),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1796)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1796)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1796)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1796)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1796)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1796)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1796)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1796)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1796)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1796)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1796)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1796)),FALSE))),ZOZNAM!G1796>=$C$9),ZOZNAM!A1796,\"\")","v":"PA255"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!B1796=\"\",\"\",ZOZNAM!B1796),\"\")","v":"Paris School of Economics"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!C1796=\"\",\"\",ZOZNAM!C1796),\"\")","v":"MACROECONOMICS - Understanding macroeconomic fluctuations"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!D1796=\"\",\"\",ZOZNAM!D1796),\"\")","v":"Online/Paríž, Francúzsko"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!E1796=\"\",\"\",ZOZNAM!E1796),\"\")","v":5},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!F1796=\"\",\"\",ZOZNAM!F1796),\"\")","v":5},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!G1796=\"\",\"\",ZOZNAM!G1796),\"\")","v":"2022-06-20"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!H1796=\"\",\"\",ZOZNAM!H1796),\"\")","v":"2022-06-24"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!I1796=\"\",\"\",ZOZNAM!I1796),\"\")","v":"2 000 EUR"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!J1796=\"\",\"\",ZOZNAM!J1796),\"\")","v":"2022-06-01"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!K1796=\"\",\"\",ZOZNAM!K1796),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/macroeconomics/"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!L1796=\"\",\"\",ZOZNAM!L1796),\"\")","v":"The aim of the programme is to provide the essential tool box of macroeconomics. Emphasis is put on introducing tools and developing deep understanding. All courses review core, standard models that are useful for understanding crises and recessions, and the role of policy therein. We then introduce recent research at the frontie"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!M1796=\"\",\"\",ZOZNAM!M1796),\"\")","v":"A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!N1796=\"\",\"\",ZOZNAM!N1796),\"\")","v":""},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!O1796=\"\",\"\",ZOZNAM!O1796),\"\")","v":""},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!P1796=\"\",\"\",ZOZNAM!P1796),\"\")","v":""},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!Q1796=\"\",\"\",ZOZNAM!Q1796),\"\")","v":""},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!R1796=\"\",\"\",ZOZNAM!R1796),\"\")","v":""},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!S1796=\"\",\"\",ZOZNAM!S1796),\"\")","v":""},{"$f":"IF($A1805<>\"\",IF(ZOZNAM!T1796=\"\",\"\",ZOZNAM!T1796),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1797)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1797)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1797)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1797)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1797)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1797)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1797)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1797)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1797)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1797)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1797)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1797)),FALSE))),ZOZNAM!G1797>=$C$9),ZOZNAM!A1797,\"\")","v":"PA256"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!B1797=\"\",\"\",ZOZNAM!B1797),\"\")","v":"Paris School of Economics"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!C1797=\"\",\"\",ZOZNAM!C1797),\"\")","v":"MICROECONOMETRICS AND POLICY EVALUATION - Modern Estimation Methods and Machine Learning"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!D1797=\"\",\"\",ZOZNAM!D1797),\"\")","v":"Online/Paríž, Francúzsko"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!E1797=\"\",\"\",ZOZNAM!E1797),\"\")","v":5},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!F1797=\"\",\"\",ZOZNAM!F1797),\"\")","v":5},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!G1797=\"\",\"\",ZOZNAM!G1797),\"\")","v":"2022-06-27"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!H1797=\"\",\"\",ZOZNAM!H1797),\"\")","v":"2022-07-01"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!I1797=\"\",\"\",ZOZNAM!I1797),\"\")","v":"2 000 EUR"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!J1797=\"\",\"\",ZOZNAM!J1797),\"\")","v":"2022-06-01"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!K1797=\"\",\"\",ZOZNAM!K1797),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/microeconometrics/"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!L1797=\"\",\"\",ZOZNAM!L1797),\"\")","v":"The Microeconometrics and Policy Evaluation program presents recent developments in the microeconomic analysis of impact evaluation, with courses taught by experts in their fields. Providing a credible estimation of a causal effect has become a standard in economic analysis, both in research papers and policy reports. But it is also equally important to integrate the estimated effects into economic models, in order to improve the design of policies. The programme therefore proposes a comprehensive approach of policy analysis.\nThe course “Methods of policy evaluation” introduces the main methods currently used for program evaluation, while the course “Machine learning for policy evaluation” presents recent advances in machine learning techniques for policy analysis. Students will also attend practice classes in STATA, according to their level of proficiency (intermediate vs. advanced).\nThe courses are designed for graduate students wishing to gain additional skills in applied microeconometrics for policy evaluation, as well as for researchers and professionals in public and private institutions who work on impact evaluation.\nThis course aims at providing theoretical insights on methods for public policy evaluation, as well as experience in data manipulation and Stata software."},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!M1797=\"\",\"\",ZOZNAM!M1797),\"\")","v":"A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!N1797=\"\",\"\",ZOZNAM!N1797),\"\")","v":""},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!O1797=\"\",\"\",ZOZNAM!O1797),\"\")","v":""},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!P1797=\"\",\"\",ZOZNAM!P1797),\"\")","v":""},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!Q1797=\"\",\"\",ZOZNAM!Q1797),\"\")","v":""},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!R1797=\"\",\"\",ZOZNAM!R1797),\"\")","v":""},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!S1797=\"\",\"\",ZOZNAM!S1797),\"\")","v":""},{"$f":"IF($A1806<>\"\",IF(ZOZNAM!T1797=\"\",\"\",ZOZNAM!T1797),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1798)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1798)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1798)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1798)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1798)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1798)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1798)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1798)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1798)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1798)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1798)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1798)),FALSE))),ZOZNAM!G1798>=$C$9),ZOZNAM!A1798,\"\")","v":"PA257"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!B1798=\"\",\"\",ZOZNAM!B1798),\"\")","v":"Paris School of Economics"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!C1798=\"\",\"\",ZOZNAM!C1798),\"\")","v":"MIGRATION ECONOMICS - Development impacts of migration and challenges in global labor markets"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!D1798=\"\",\"\",ZOZNAM!D1798),\"\")","v":"Online/Paríž, Francúzsko"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!E1798=\"\",\"\",ZOZNAM!E1798),\"\")","v":5},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!F1798=\"\",\"\",ZOZNAM!F1798),\"\")","v":5},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!G1798=\"\",\"\",ZOZNAM!G1798),\"\")","v":"2022-06-20"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!H1798=\"\",\"\",ZOZNAM!H1798),\"\")","v":"2022-06-24"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!I1798=\"\",\"\",ZOZNAM!I1798),\"\")","v":"2 000 EUR"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!J1798=\"\",\"\",ZOZNAM!J1798),\"\")","v":"2022-06-01"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!K1798=\"\",\"\",ZOZNAM!K1798),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/migration-economics/"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!L1798=\"\",\"\",ZOZNAM!L1798),\"\")","v":"Migration is a major aspect of globalization and is increasingly at the center of the public and policy debate. What are the microeconomic impacts of migration and how to address the challenge of identifying them? What is the relationship between migration, other dimensions of globalization, and development? What are the public finance and demographic effect of immigration for the host countries? What are the effects of immigration on the labor market? How do host societies adapt to increasingly diverse population?\nThe program combines theoretical modeling in the migration literature with the most recent and rigorous empirical evidence."},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!M1798=\"\",\"\",ZOZNAM!M1798),\"\")","v":"A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!N1798=\"\",\"\",ZOZNAM!N1798),\"\")","v":""},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!O1798=\"\",\"\",ZOZNAM!O1798),\"\")","v":""},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!P1798=\"\",\"\",ZOZNAM!P1798),\"\")","v":""},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!Q1798=\"\",\"\",ZOZNAM!Q1798),\"\")","v":""},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!R1798=\"\",\"\",ZOZNAM!R1798),\"\")","v":""},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!S1798=\"\",\"\",ZOZNAM!S1798),\"\")","v":""},{"$f":"IF($A1807<>\"\",IF(ZOZNAM!T1798=\"\",\"\",ZOZNAM!T1798),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1799)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1799)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1799)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1799)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1799)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1799)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1799)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1799)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1799)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1799)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1799)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1799)),FALSE))),ZOZNAM!G1799>=$C$9),ZOZNAM!A1799,\"\")","v":"PA258"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!B1799=\"\",\"\",ZOZNAM!B1799),\"\")","v":"Paris School of Economics"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!C1799=\"\",\"\",ZOZNAM!C1799),\"\")","v":"CLIMATE CHANGE - Impacts, adaptation and political constraints"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!D1799=\"\",\"\",ZOZNAM!D1799),\"\")","v":"Online/Paríž, Francúzsko"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!E1799=\"\",\"\",ZOZNAM!E1799),\"\")","v":5},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!F1799=\"\",\"\",ZOZNAM!F1799),\"\")","v":5},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!G1799=\"\",\"\",ZOZNAM!G1799),\"\")","v":"2022-06-13"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!H1799=\"\",\"\",ZOZNAM!H1799),\"\")","v":"2022-06-17"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!I1799=\"\",\"\",ZOZNAM!I1799),\"\")","v":"2 000 EUR"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!J1799=\"\",\"\",ZOZNAM!J1799),\"\")","v":"2022-06-01"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!K1799=\"\",\"\",ZOZNAM!K1799),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/climate-change/"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!L1799=\"\",\"\",ZOZNAM!L1799),\"\")","v":"The impact of climate change on the economy (for example, agriculture, income, migration, etc.) and appropriate regulation of « the greatest externality the world has ever seen », as the Stern Review puts it, are increasingly at the center of the policy and scientific debate.\nHow do we measure the impacts of climate change on economic outcomes? What are the relevant economic instruments to combat climate change in a globalized world? How do we transition toward a greener energy system? How do lobbying and citizens’ assemblies influence the actual climate policies? How can trade help regions mitigate the impacts of climate change? How do we use geocoded data in empirical projects?\nThe Climate Change program introduces participants to the cutting-edge research on the topic and familiarizes them with the relevant methods of analysis (econometric analysis, dynamic modelling)."},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!M1799=\"\",\"\",ZOZNAM!M1799),\"\")","v":"A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!N1799=\"\",\"\",ZOZNAM!N1799),\"\")","v":""},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!O1799=\"\",\"\",ZOZNAM!O1799),\"\")","v":""},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!P1799=\"\",\"\",ZOZNAM!P1799),\"\")","v":""},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!Q1799=\"\",\"\",ZOZNAM!Q1799),\"\")","v":""},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!R1799=\"\",\"\",ZOZNAM!R1799),\"\")","v":""},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!S1799=\"\",\"\",ZOZNAM!S1799),\"\")","v":""},{"$f":"IF($A1808<>\"\",IF(ZOZNAM!T1799=\"\",\"\",ZOZNAM!T1799),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1800)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1800)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1800)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1800)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1800)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1800)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1800)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1800)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1800)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1800)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1800)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1800)),FALSE))),ZOZNAM!G1800>=$C$9),ZOZNAM!A1800,\"\")","v":"PA259"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!B1800=\"\",\"\",ZOZNAM!B1800),\"\")","v":"Paris School of Economics"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!C1800=\"\",\"\",ZOZNAM!C1800),\"\")","v":"DEVELOPMENT : Inequality, social interactions and institutional dynamics"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!D1800=\"\",\"\",ZOZNAM!D1800),\"\")","v":"Online/Paríž, Francúzsko"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!E1800=\"\",\"\",ZOZNAM!E1800),\"\")","v":5},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!F1800=\"\",\"\",ZOZNAM!F1800),\"\")","v":5},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!G1800=\"\",\"\",ZOZNAM!G1800),\"\")","v":"2022-06-20"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!H1800=\"\",\"\",ZOZNAM!H1800),\"\")","v":"2022-06-24"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!I1800=\"\",\"\",ZOZNAM!I1800),\"\")","v":"2 000 EUR"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!J1800=\"\",\"\",ZOZNAM!J1800),\"\")","v":"2022-06-01"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!K1800=\"\",\"\",ZOZNAM!K1800),\"\")","v":"https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/development/"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!L1800=\"\",\"\",ZOZNAM!L1800),\"\")","v":"This program gets you up to speed with the existing academic literature and current debates. It presents leading theories, different research methods, and takes stock of the empirical evidence on inequality and institutional development. On that basis, it identifies the research frontier on this topic and delineates policy challenges.\nInstitutions and social frictions (associated with inequalities, political conflicts, corruption, and cultural polarization) have emerged as central themes in development economics. This course takes stock of existing research and moves on to draw the outline of the current research frontier. How do institutions shape the development process? How do understudied informal institutions, such as identities and customs, interact with formal institutions? How do we interpret recent trends in inequality within low- and middle-income countries?\nOur program approaches these questions by drawing on formal theory and rigorous empirical research in two core modules: “Inequality and development” and “Models of Cultural Dynamics and Social Identity”. In addition, two shorter modules develop empirical applications of the core course themes. These modules cover the role of civil conflict, corruption, and media in economic development. The objective of the program is to equip you with the background and tools you need as a researcher to contribute to this dynamic field."},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!M1800=\"\",\"\",ZOZNAM!M1800),\"\")","v":"A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!N1800=\"\",\"\",ZOZNAM!N1800),\"\")","v":""},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!O1800=\"\",\"\",ZOZNAM!O1800),\"\")","v":""},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!P1800=\"\",\"\",ZOZNAM!P1800),\"\")","v":""},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!Q1800=\"\",\"\",ZOZNAM!Q1800),\"\")","v":""},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!R1800=\"\",\"\",ZOZNAM!R1800),\"\")","v":""},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!S1800=\"\",\"\",ZOZNAM!S1800),\"\")","v":""},{"$f":"IF($A1809<>\"\",IF(ZOZNAM!T1800=\"\",\"\",ZOZNAM!T1800),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1804)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1804)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1804)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1804)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1804)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1804)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1804)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1804)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1804)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1804)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1804)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1804)),FALSE))),ZOZNAM!G1804>=$C$9),ZOZNAM!A1804,\"\")","v":"AC324"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!B1804=\"\",\"\",ZOZNAM!B1804),\"\")","v":"ACREA CR"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!C1804=\"\",\"\",ZOZNAM!C1804),\"\")","v":"Analýza Kategorizovaných Dát 3- dvourozměrné kontigenční tabulky četností "},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!D1804=\"\",\"\",ZOZNAM!D1804),\"\")","v":"Praha/Online"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!E1804=\"\",\"\",ZOZNAM!E1804),\"\")","v":1},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!F1804=\"\",\"\",ZOZNAM!F1804),\"\")","v":1},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!G1804=\"\",\"\",ZOZNAM!G1804),\"\")","v":"2023-01-18"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!H1804=\"\",\"\",ZOZNAM!H1804),\"\")","v":"2023-01-18"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!I1804=\"\",\"\",ZOZNAM!I1804),\"\")","v":"245 EUR"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!J1804=\"\",\"\",ZOZNAM!J1804),\"\")","v":""},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!K1804=\"\",\"\",ZOZNAM!K1804),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!L1804=\"\",\"\",ZOZNAM!L1804),\"\")","v":"Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!M1804=\"\",\"\",ZOZNAM!M1804),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!N1804=\"\",\"\",ZOZNAM!N1804),\"\")","v":"nie"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!O1804=\"\",\"\",ZOZNAM!O1804),\"\")","v":"áno"},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!P1804=\"\",\"\",ZOZNAM!P1804),\"\")","v":""},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!Q1804=\"\",\"\",ZOZNAM!Q1804),\"\")","v":""},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!R1804=\"\",\"\",ZOZNAM!R1804),\"\")","v":""},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!S1804=\"\",\"\",ZOZNAM!S1804),\"\")","v":""},{"$f":"IF($A1813<>\"\",IF(ZOZNAM!T1804=\"\",\"\",ZOZNAM!T1804),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1805)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1805)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1805)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1805)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1805)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1805)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1805)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1805)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1805)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1805)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1805)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1805)),FALSE))),ZOZNAM!G1805>=$C$9),ZOZNAM!A1805,\"\")","v":"AC304"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!B1805=\"\",\"\",ZOZNAM!B1805),\"\")","v":"ACREA CR"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!C1805=\"\",\"\",ZOZNAM!C1805),\"\")","v":"Analýza Rozptylu: Přístupy k odhalováni příčin vlivů"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!D1805=\"\",\"\",ZOZNAM!D1805),\"\")","v":"Praha/Online"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!E1805=\"\",\"\",ZOZNAM!E1805),\"\")","v":2},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!F1805=\"\",\"\",ZOZNAM!F1805),\"\")","v":2},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!G1805=\"\",\"\",ZOZNAM!G1805),\"\")","v":"2022-10-10"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!H1805=\"\",\"\",ZOZNAM!H1805),\"\")","v":"2022-10-11"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!I1805=\"\",\"\",ZOZNAM!I1805),\"\")","v":"430 EUR "},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!J1805=\"\",\"\",ZOZNAM!J1805),\"\")","v":""},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!K1805=\"\",\"\",ZOZNAM!K1805),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!L1805=\"\",\"\",ZOZNAM!L1805),\"\")","v":"Analýza rozptylu (analýza variance, ANOVA) je jednou ze základních statistických metod, která nachází uplatnění ve všech oblastech aplikované statistiky a analýzy dat. Umožňuje odhalit faktory, které ovlivňují chování dané číselné veličiny a posoudit míru jejich vlivu, provést detailní porovnání skupin nebo očistit zkoumaný vztah od vlivu jiné proměnné."},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!M1805=\"\",\"\",ZOZNAM!M1805),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!N1805=\"\",\"\",ZOZNAM!N1805),\"\")","v":"nie"},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!O1805=\"\",\"\",ZOZNAM!O1805),\"\")","v":"nie "},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!P1805=\"\",\"\",ZOZNAM!P1805),\"\")","v":""},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!Q1805=\"\",\"\",ZOZNAM!Q1805),\"\")","v":""},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!R1805=\"\",\"\",ZOZNAM!R1805),\"\")","v":""},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!S1805=\"\",\"\",ZOZNAM!S1805),\"\")","v":""},{"$f":"IF($A1814<>\"\",IF(ZOZNAM!T1805=\"\",\"\",ZOZNAM!T1805),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1806)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1806)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1806)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1806)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1806)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1806)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1806)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1806)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1806)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1806)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1806)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1806)),FALSE))),ZOZNAM!G1806>=$C$9),ZOZNAM!A1806,\"\")","v":"AC305"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!B1806=\"\",\"\",ZOZNAM!B1806),\"\")","v":"ACREA CR"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!C1806=\"\",\"\",ZOZNAM!C1806),\"\")","v":"Bayesovské strukturní modelovaní"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!D1806=\"\",\"\",ZOZNAM!D1806),\"\")","v":"Praha/Online"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!E1806=\"\",\"\",ZOZNAM!E1806),\"\")","v":1},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!F1806=\"\",\"\",ZOZNAM!F1806),\"\")","v":1},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!G1806=\"\",\"\",ZOZNAM!G1806),\"\")","v":"2022-11-28"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!H1806=\"\",\"\",ZOZNAM!H1806),\"\")","v":"2022-11-28"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!I1806=\"\",\"\",ZOZNAM!I1806),\"\")","v":"245 EUR"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!J1806=\"\",\"\",ZOZNAM!J1806),\"\")","v":""},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!K1806=\"\",\"\",ZOZNAM!K1806),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/bayesovske-strukturni-modelovani/"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!L1806=\"\",\"\",ZOZNAM!L1806),\"\")","v":"Bayesovská statistika je dnes plnohodnotnou alternativou k běžně užívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Používá se pro různé základní postupy (analogie t-testů, analýzy rozptylu a regresní analýzy), o nichž se lze více dozvědět v kurzu Úvod do bayesovské analýzy dat.\nKromě toho proniká i do složitějších postupů jako je strukturní modelování. Základní představení strukturních modelů je obsahem kurzu Modelování statistických vztahů (IBM SPSS Amos). Software IBM SPSS Amos umožňuje kromě klasického (frekvenčního) výpočtu používat i bayesovské strukturní modely. Kurz představí jednak základní logiku bayesovské analýzy dat, jednak praktické aplikace v prostředí IBM SPSS Amos.\n\n"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!M1806=\"\",\"\",ZOZNAM!M1806),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!N1806=\"\",\"\",ZOZNAM!N1806),\"\")","v":"nie"},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!O1806=\"\",\"\",ZOZNAM!O1806),\"\")","v":"nie "},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!P1806=\"\",\"\",ZOZNAM!P1806),\"\")","v":""},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!Q1806=\"\",\"\",ZOZNAM!Q1806),\"\")","v":""},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!R1806=\"\",\"\",ZOZNAM!R1806),\"\")","v":""},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!S1806=\"\",\"\",ZOZNAM!S1806),\"\")","v":""},{"$f":"IF($A1815<>\"\",IF(ZOZNAM!T1806=\"\",\"\",ZOZNAM!T1806),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1815)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1815)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1815)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1815)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1815)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1815)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1815)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1815)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1815)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1815)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1815)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1815)),FALSE))),ZOZNAM!G1815>=$C$9),ZOZNAM!A1815,\"\")","v":"AC312"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!B1815=\"\",\"\",ZOZNAM!B1815),\"\")","v":"ACREA CR"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!C1815=\"\",\"\",ZOZNAM!C1815),\"\")","v":"Úvod do Bayesovké analýzy dát"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!D1815=\"\",\"\",ZOZNAM!D1815),\"\")","v":"Praha/Online"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!E1815=\"\",\"\",ZOZNAM!E1815),\"\")","v":1},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!F1815=\"\",\"\",ZOZNAM!F1815),\"\")","v":1},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!G1815=\"\",\"\",ZOZNAM!G1815),\"\")","v":"2022-11-14"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!H1815=\"\",\"\",ZOZNAM!H1815),\"\")","v":"2022-11-14"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!I1815=\"\",\"\",ZOZNAM!I1815),\"\")","v":"245 EUR"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!J1815=\"\",\"\",ZOZNAM!J1815),\"\")","v":""},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!K1815=\"\",\"\",ZOZNAM!K1815),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/uvod-do-bayesovske-analyzy-dat/"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!L1815=\"\",\"\",ZOZNAM!L1815),\"\")","v":"Bayesovská statistika je plnohodnotnou alternativou k běžně využívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Na rozdíl od frekvenční statistiky nevycházejí odhady bayesovské statistiky pouze z výběrového souboru, ale ovlivňují je i naše předchozí znalosti (apriorní informace). Výsledek (aposteriorní odhad) je tak kombinací našich dat a dříve získaných poznatků. Bayesovské přístupy jsou vhodné zejména tam, kde dochází k replikaci studií a zároveň tam, kde jsou výběrové soubory poměrně malé. Jejich velkou předností je také možnost flexibilní práce s různými typy proměnných (nespojité) a možnost odhadů (imputací) chybějících hodnot.  V rámci kurzu se zaměříme především na analogii t-testů, analýzy rozptylu a regresní analýzy za pomoci programu IBM SPSS Statistics ve spojení s R."},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!M1815=\"\",\"\",ZOZNAM!M1815),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!N1815=\"\",\"\",ZOZNAM!N1815),\"\")","v":"nie "},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!O1815=\"\",\"\",ZOZNAM!O1815),\"\")","v":"nie "},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!P1815=\"\",\"\",ZOZNAM!P1815),\"\")","v":""},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!Q1815=\"\",\"\",ZOZNAM!Q1815),\"\")","v":""},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!R1815=\"\",\"\",ZOZNAM!R1815),\"\")","v":""},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!S1815=\"\",\"\",ZOZNAM!S1815),\"\")","v":""},{"$f":"IF($A1824<>\"\",IF(ZOZNAM!T1815=\"\",\"\",ZOZNAM!T1815),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1816)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1816)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1816)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1816)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1816)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1816)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1816)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1816)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1816)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1816)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1816)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1816)),FALSE))),ZOZNAM!G1816>=$C$9),ZOZNAM!A1816,\"\")","v":"AC313"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!B1816=\"\",\"\",ZOZNAM!B1816),\"\")","v":"ACREA CR"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!C1816=\"\",\"\",ZOZNAM!C1816),\"\")","v":"\nREPORTOVÁNÍ A VIZUALIZACE STATISTICKÝCH DAT"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!D1816=\"\",\"\",ZOZNAM!D1816),\"\")","v":"Praha/Online"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!E1816=\"\",\"\",ZOZNAM!E1816),\"\")","v":2},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!F1816=\"\",\"\",ZOZNAM!F1816),\"\")","v":2},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!G1816=\"\",\"\",ZOZNAM!G1816),\"\")","v":"2022-09-29"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!H1816=\"\",\"\",ZOZNAM!H1816),\"\")","v":"2022-09-30"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!I1816=\"\",\"\",ZOZNAM!I1816),\"\")","v":"388 EUR"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!J1816=\"\",\"\",ZOZNAM!J1816),\"\")","v":""},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!K1816=\"\",\"\",ZOZNAM!K1816),\"\")","v":"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/reportovani-a-vizualizace-statistickych-dat/"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!L1816=\"\",\"\",ZOZNAM!L1816),\"\")","v":"Cílem kurzu je seznámit účastníky se základními principy statistického reportování se zaměřením na tabulkovou a grafickou analýzu. Projdeme si nejčastěji užívané typy tabulek a grafů a naučíme se rozeznat, ve kterých případech je použít. Ukážeme si různé způsoby, jak vizuálně usnadnit čtení informace. Shrneme základní pravidla a doporučení pro vytváření statických tabulek, grafů i zpráv. Vše si ukážeme na praktických příkladech v IBM SPSS Statistics."},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!M1816=\"\",\"\",ZOZNAM!M1816),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!N1816=\"\",\"\",ZOZNAM!N1816),\"\")","v":"nie "},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!O1816=\"\",\"\",ZOZNAM!O1816),\"\")","v":"nie "},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!P1816=\"\",\"\",ZOZNAM!P1816),\"\")","v":""},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!Q1816=\"\",\"\",ZOZNAM!Q1816),\"\")","v":""},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!R1816=\"\",\"\",ZOZNAM!R1816),\"\")","v":""},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!S1816=\"\",\"\",ZOZNAM!S1816),\"\")","v":""},{"$f":"IF($A1825<>\"\",IF(ZOZNAM!T1816=\"\",\"\",ZOZNAM!T1816),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1817)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1817)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1817)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1817)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1817)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1817)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1817)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1817)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1817)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1817)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1817)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1817)),FALSE))),ZOZNAM!G1817>=$C$9),ZOZNAM!A1817,\"\")","v":"AC331"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!B1817=\"\",\"\",ZOZNAM!B1817),\"\")","v":"ACREA CR"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!C1817=\"\",\"\",ZOZNAM!C1817),\"\")","v":"\nKORELAČNÍ ANALÝZA V JAZYCE R"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!D1817=\"\",\"\",ZOZNAM!D1817),\"\")","v":"Praha/Online"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!E1817=\"\",\"\",ZOZNAM!E1817),\"\")","v":1},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!F1817=\"\",\"\",ZOZNAM!F1817),\"\")","v":1},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!G1817=\"\",\"\",ZOZNAM!G1817),\"\")","v":"2022-12-14"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!H1817=\"\",\"\",ZOZNAM!H1817),\"\")","v":"2022-12-14"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!I1817=\"\",\"\",ZOZNAM!I1817),\"\")","v":"200 EUR"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!J1817=\"\",\"\",ZOZNAM!J1817),\"\")","v":""},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!K1817=\"\",\"\",ZOZNAM!K1817),\"\")","v":"https://kurzystatistiky.cz/kurzy/kurzy-softwaru-ibm-spss/korelacni-analyza-v-jazyce-r/"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!L1817=\"\",\"\",ZOZNAM!L1817),\"\")","v":"Seznámit posluchače s korelačními měrami pro číselná data a s jejich aplikačním využitím v různých praktických situacích. Látka je ilustrována a procvičována na reálných datech z analytické praxe. Tyto příklady budou účastníkům prezentovány v jazyce R, konkrétně ve volně dostupném programu RStudio."},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!M1817=\"\",\"\",ZOZNAM!M1817),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!N1817=\"\",\"\",ZOZNAM!N1817),\"\")","v":"nie "},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!O1817=\"\",\"\",ZOZNAM!O1817),\"\")","v":"áno"},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!P1817=\"\",\"\",ZOZNAM!P1817),\"\")","v":""},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!Q1817=\"\",\"\",ZOZNAM!Q1817),\"\")","v":""},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!R1817=\"\",\"\",ZOZNAM!R1817),\"\")","v":""},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!S1817=\"\",\"\",ZOZNAM!S1817),\"\")","v":""},{"$f":"IF($A1826<>\"\",IF(ZOZNAM!T1817=\"\",\"\",ZOZNAM!T1817),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1818)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1818)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1818)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1818)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1818)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1818)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1818)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1818)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1818)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1818)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1818)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1818)),FALSE))),ZOZNAM!G1818>=$C$9),ZOZNAM!A1818,\"\")","v":"AC316"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!B1818=\"\",\"\",ZOZNAM!B1818),\"\")","v":"ACREA CR"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!C1818=\"\",\"\",ZOZNAM!C1818),\"\")","v":"\nTEXT MINING"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!D1818=\"\",\"\",ZOZNAM!D1818),\"\")","v":"Praha/Online"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!E1818=\"\",\"\",ZOZNAM!E1818),\"\")","v":1},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!F1818=\"\",\"\",ZOZNAM!F1818),\"\")","v":1},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!G1818=\"\",\"\",ZOZNAM!G1818),\"\")","v":"2022-11-29"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!H1818=\"\",\"\",ZOZNAM!H1818),\"\")","v":"2022-11-29"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!I1818=\"\",\"\",ZOZNAM!I1818),\"\")","v":"245 EUR"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!J1818=\"\",\"\",ZOZNAM!J1818),\"\")","v":""},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!K1818=\"\",\"\",ZOZNAM!K1818),\"\")","v":"https://kurzystatistiky.cz/kurzy/data-mining/text-mining/"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!L1818=\"\",\"\",ZOZNAM!L1818),\"\")","v":"Textminingový kurz seznámí účastníky s metodami extrakce klíčových vlastností z textu a s jejich využitím při predikčním modelování. Pro extrakci vlastností z textu budeme používat metody statistického zpracování přirozených jazyků (NLP). Ty umožní detekovat koncepty a skrytá témata, která lze díky variabilitě a bohaté slovní zásobě přirozených jazyků vyjádřit mnoha způsoby. V kurzu budou probírány extrakce příznaků na různých úrovních: od písmenných skupin zvaných n-gramy přes termíny až po komplexní sémantická témata a jejich vlastností. Příkladem extrakce komplexních vzorů z textu může být analýza sentimentu, kdy rozeznáváme kladné a záporné postoje autora. Metody statistického zpracování přirozených jazyků musí být nezbytně podporovány mnoha lingvistickými zdroji ve formátu slovníků a pravidel. Účastníci se seznámí i s touto jazykovou oporou, aby byli schopni vhodně vybrat a případně modifikovat lingvistické zdroje pro konkrétní úlohu."},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!M1818=\"\",\"\",ZOZNAM!M1818),\"\")","v":"cena kurzu je bez DPH"},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!N1818=\"\",\"\",ZOZNAM!N1818),\"\")","v":"nie "},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!O1818=\"\",\"\",ZOZNAM!O1818),\"\")","v":"nie "},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!P1818=\"\",\"\",ZOZNAM!P1818),\"\")","v":""},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!Q1818=\"\",\"\",ZOZNAM!Q1818),\"\")","v":""},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!R1818=\"\",\"\",ZOZNAM!R1818),\"\")","v":""},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!S1818=\"\",\"\",ZOZNAM!S1818),\"\")","v":""},{"$f":"IF($A1827<>\"\",IF(ZOZNAM!T1818=\"\",\"\",ZOZNAM!T1818),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1837)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1837)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1837)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1837)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1837)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1837)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1837)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1837)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1837)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1837)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1837)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1837)),FALSE))),ZOZNAM!G1837>=$C$9),ZOZNAM!A1837,\"\")","v":"CO001"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!B1837=\"\",\"\",ZOZNAM!B1837),\"\")","v":"Collaboration in Research and Methodology for Official Statistics"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!C1837=\"\",\"\",ZOZNAM!C1837),\"\")","v":"10th International Conference on the Use of R in Official Statistics"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!D1837=\"\",\"\",ZOZNAM!D1837),\"\")","v":"Online"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!E1837=\"\",\"\",ZOZNAM!E1837),\"\")","v":3},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!F1837=\"\",\"\",ZOZNAM!F1837),\"\")","v":2},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!G1837=\"\",\"\",ZOZNAM!G1837),\"\")","v":"2022-12-06"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!H1837=\"\",\"\",ZOZNAM!H1837),\"\")","v":"2022-12-08"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!I1837=\"\",\"\",ZOZNAM!I1837),\"\")","v":""},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!J1837=\"\",\"\",ZOZNAM!J1837),\"\")","v":""},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!K1837=\"\",\"\",ZOZNAM!K1837),\"\")","v":"https://ec.europa.eu/eurostat/cros/content/10th-international-conference-use-r-official-statistics_en"},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!L1837=\"\",\"\",ZOZNAM!L1837),\"\")","v":"Statistics Canada is pleased to announce that it will host the 10th International Conference on the Use of R in Official Statistics – uRos2022 December 6 to 8, 2022. In partnership with the Romanian National Institute Statistics, Statistics Netherlands and Statistics Austria, this virtual scientific conference will provide a forum for researchers and analysts from across academia and national statistical offices to present their work, exchange ideas and participate in discussions and tutorials on the use of R in official statistics."},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!M1837=\"\",\"\",ZOZNAM!M1837),\"\")","v":"nie "},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!N1837=\"\",\"\",ZOZNAM!N1837),\"\")","v":"nie "},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!O1837=\"\",\"\",ZOZNAM!O1837),\"\")","v":"nie "},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!P1837=\"\",\"\",ZOZNAM!P1837),\"\")","v":""},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!Q1837=\"\",\"\",ZOZNAM!Q1837),\"\")","v":""},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!R1837=\"\",\"\",ZOZNAM!R1837),\"\")","v":""},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!S1837=\"\",\"\",ZOZNAM!S1837),\"\")","v":""},{"$f":"IF($A1846<>\"\",IF(ZOZNAM!T1837=\"\",\"\",ZOZNAM!T1837),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1838)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1838)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1838)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1838)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1838)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1838)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1838)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1838)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1838)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1838)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1838)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1838)),FALSE))),ZOZNAM!G1838>=$C$9),ZOZNAM!A1838,\"\")","v":"ES039"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!B1838=\"\",\"\",ZOZNAM!B1838),\"\")","v":"Eurostat"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!C1838=\"\",\"\",ZOZNAM!C1838),\"\")","v":"Global Conference on Macroenomic Statistics for the Future"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!D1838=\"\",\"\",ZOZNAM!D1838),\"\")","v":"Brussels"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!E1838=\"\",\"\",ZOZNAM!E1838),\"\")","v":2},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!F1838=\"\",\"\",ZOZNAM!F1838),\"\")","v":1},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!G1838=\"\",\"\",ZOZNAM!G1838),\"\")","v":"2022-11-10"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!H1838=\"\",\"\",ZOZNAM!H1838),\"\")","v":"2022-11-11"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!I1838=\"\",\"\",ZOZNAM!I1838),\"\")","v":""},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!J1838=\"\",\"\",ZOZNAM!J1838),\"\")","v":""},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!K1838=\"\",\"\",ZOZNAM!K1838),\"\")","v":"https://www.statistics4future.eu/"},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!L1838=\"\",\"\",ZOZNAM!L1838),\"\")","v":"Eurostat and the United Nations Statistics Division are organizing a global conference on “Macroeconomic Statistics for the Future”, which will take place on 10-11 November 2022 at the Palais d’Egmont in Brussels.\n\nThe event is held on the occasion of the ongoing update of the 2008 SNA and BPM6, and their planned adoption in 2025. Priority areas of discussion will be:\nSustainability and Beyond GDP, Digitalisation, Globalisation and Communication.\n\nThe conference is expected to bring together around 250 high-profile participants from all the regions of the world, including politicians, public officials working in policy development, national accounts compilers and academics."},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!M1838=\"\",\"\",ZOZNAM!M1838),\"\")","v":"nie "},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!N1838=\"\",\"\",ZOZNAM!N1838),\"\")","v":"nie "},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!O1838=\"\",\"\",ZOZNAM!O1838),\"\")","v":"nie "},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!P1838=\"\",\"\",ZOZNAM!P1838),\"\")","v":""},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!Q1838=\"\",\"\",ZOZNAM!Q1838),\"\")","v":""},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!R1838=\"\",\"\",ZOZNAM!R1838),\"\")","v":""},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!S1838=\"\",\"\",ZOZNAM!S1838),\"\")","v":""},{"$f":"IF($A1847<>\"\",IF(ZOZNAM!T1838=\"\",\"\",ZOZNAM!T1838),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1839)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1839)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1839)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1839)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1839)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1839)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1839)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1839)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1839)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1839)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1839)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1839)),FALSE))),ZOZNAM!G1839>=$C$9),ZOZNAM!A1839,\"\")","v":"IP071"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!B1839=\"\",\"\",ZOZNAM!B1839),\"\")","v":"ictPro"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!C1839=\"\",\"\",ZOZNAM!C1839),\"\")","v":"PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!D1839=\"\",\"\",ZOZNAM!D1839),\"\")","v":"ONLINE/BRNO"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!E1839=\"\",\"\",ZOZNAM!E1839),\"\")","v":3},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!F1839=\"\",\"\",ZOZNAM!F1839),\"\")","v":2},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!G1839=\"\",\"\",ZOZNAM!G1839),\"\")","v":"2022-10-05"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!H1839=\"\",\"\",ZOZNAM!H1839),\"\")","v":"2022-10-07"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!I1839=\"\",\"\",ZOZNAM!I1839),\"\")","v":"14278 CZK"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!J1839=\"\",\"\",ZOZNAM!J1839),\"\")","v":""},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!K1839=\"\",\"\",ZOZNAM!K1839),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!L1839=\"\",\"\",ZOZNAM!L1839),\"\")","v":"Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata."},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!M1839=\"\",\"\",ZOZNAM!M1839),\"\")","v":"nie "},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!N1839=\"\",\"\",ZOZNAM!N1839),\"\")","v":"nie "},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!O1839=\"\",\"\",ZOZNAM!O1839),\"\")","v":"nie "},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!P1839=\"\",\"\",ZOZNAM!P1839),\"\")","v":""},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!Q1839=\"\",\"\",ZOZNAM!Q1839),\"\")","v":""},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!R1839=\"\",\"\",ZOZNAM!R1839),\"\")","v":""},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!S1839=\"\",\"\",ZOZNAM!S1839),\"\")","v":""},{"$f":"IF($A1848<>\"\",IF(ZOZNAM!T1839=\"\",\"\",ZOZNAM!T1839),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1840)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1840)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1840)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1840)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1840)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1840)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1840)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1840)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1840)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1840)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1840)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1840)),FALSE))),ZOZNAM!G1840>=$C$9),ZOZNAM!A1840,\"\")","v":"IP072"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!B1840=\"\",\"\",ZOZNAM!B1840),\"\")","v":"ictPro"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!C1840=\"\",\"\",ZOZNAM!C1840),\"\")","v":"PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!D1840=\"\",\"\",ZOZNAM!D1840),\"\")","v":"ONLINE/BRNO"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!E1840=\"\",\"\",ZOZNAM!E1840),\"\")","v":3},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!F1840=\"\",\"\",ZOZNAM!F1840),\"\")","v":2},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!G1840=\"\",\"\",ZOZNAM!G1840),\"\")","v":"2022-11-30"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!H1840=\"\",\"\",ZOZNAM!H1840),\"\")","v":"2022-12-02"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!I1840=\"\",\"\",ZOZNAM!I1840),\"\")","v":"14278 CZK"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!J1840=\"\",\"\",ZOZNAM!J1840),\"\")","v":""},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!K1840=\"\",\"\",ZOZNAM!K1840),\"\")","v":"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx"},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!L1840=\"\",\"\",ZOZNAM!L1840),\"\")","v":"Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata."},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!M1840=\"\",\"\",ZOZNAM!M1840),\"\")","v":"nie "},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!N1840=\"\",\"\",ZOZNAM!N1840),\"\")","v":"nie "},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!O1840=\"\",\"\",ZOZNAM!O1840),\"\")","v":"nie "},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!P1840=\"\",\"\",ZOZNAM!P1840),\"\")","v":""},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!Q1840=\"\",\"\",ZOZNAM!Q1840),\"\")","v":""},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!R1840=\"\",\"\",ZOZNAM!R1840),\"\")","v":""},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!S1840=\"\",\"\",ZOZNAM!S1840),\"\")","v":""},{"$f":"IF($A1849<>\"\",IF(ZOZNAM!T1840=\"\",\"\",ZOZNAM!T1840),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1847)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1847)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1847)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1847)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1847)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1847)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1847)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1847)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1847)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1847)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1847)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1847)),FALSE))),ZOZNAM!G1847>=$C$9),ZOZNAM!A1847,\"\")","v":"TI353"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!B1847=\"\",\"\",ZOZNAM!B1847),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!C1847=\"\",\"\",ZOZNAM!C1847),\"\")","v":"Risk Modelling Workshop with Eviews"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!D1847=\"\",\"\",ZOZNAM!D1847),\"\")","v":"Online"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!E1847=\"\",\"\",ZOZNAM!E1847),\"\")","v":2},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!F1847=\"\",\"\",ZOZNAM!F1847),\"\")","v":1},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!G1847=\"\",\"\",ZOZNAM!G1847),\"\")","v":"2022-10-13"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!H1847=\"\",\"\",ZOZNAM!H1847),\"\")","v":"2022-10-14"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!I1847=\"\",\"\",ZOZNAM!I1847),\"\")","v":"450 GBP"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!J1847=\"\",\"\",ZOZNAM!J1847),\"\")","v":""},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!K1847=\"\",\"\",ZOZNAM!K1847),\"\")","v":"https://www.timberlake.co.uk/courses/risk-modelling-workshop-eviews.html#prices"},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!L1847=\"\",\"\",ZOZNAM!L1847),\"\")","v":"Risk modelling is about modelling and quantification of risk. For the financial industry, the cases of credit risk quantifying potential losses due, e.g., to the bankruptcy of debtors, or market risks quantifying potential losses due to negative fluctuations of a portfolio's market value are of particular relevance.\n\nThe aim of this course is to offer a comprehensive introduction to risk modelling and forecasting with EViews 13. The course offers one introductory day on risk modelling and forecasting via parametric methods and then builds on it to discuss the econometrics methods for stress testing, Value at Risk and fundamental measures of risk.\n\nThe course targets researchers, practitioners and policymakers who are interested in gaining an in-depth knowledge of risk modelling and forecasting techniques and learning how to use them in their current research.\n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. The sessions are hands-on with many practical examples of risk models and evaluation tools. Specific attention is dedicated to risk forecasting.\n\nBy the end of the two-day online course, participants should be able to model and forecast risk with EViews 13 proficiently."},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!M1847=\"\",\"\",ZOZNAM!M1847),\"\")","v":"nie "},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!N1847=\"\",\"\",ZOZNAM!N1847),\"\")","v":"nie "},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!O1847=\"\",\"\",ZOZNAM!O1847),\"\")","v":"nie "},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!P1847=\"\",\"\",ZOZNAM!P1847),\"\")","v":""},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!Q1847=\"\",\"\",ZOZNAM!Q1847),\"\")","v":""},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!R1847=\"\",\"\",ZOZNAM!R1847),\"\")","v":""},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!S1847=\"\",\"\",ZOZNAM!S1847),\"\")","v":""},{"$f":"IF($A1856<>\"\",IF(ZOZNAM!T1847=\"\",\"\",ZOZNAM!T1847),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1848)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1848)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1848)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1848)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1848)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1848)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1848)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1848)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1848)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1848)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1848)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1848)),FALSE))),ZOZNAM!G1848>=$C$9),ZOZNAM!A1848,\"\")","v":"TI354"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!B1848=\"\",\"\",ZOZNAM!B1848),\"\")","v":"Timberlake Consultants"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!C1848=\"\",\"\",ZOZNAM!C1848),\"\")","v":"Econometrics of Program Evaluation Using Stata"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!D1848=\"\",\"\",ZOZNAM!D1848),\"\")","v":"Online"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!E1848=\"\",\"\",ZOZNAM!E1848),\"\")","v":2},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!F1848=\"\",\"\",ZOZNAM!F1848),\"\")","v":1},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!G1848=\"\",\"\",ZOZNAM!G1848),\"\")","v":"2022-10-24"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!H1848=\"\",\"\",ZOZNAM!H1848),\"\")","v":"2022-10-25"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!I1848=\"\",\"\",ZOZNAM!I1848),\"\")","v":"450 GBP"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!J1848=\"\",\"\",ZOZNAM!J1848),\"\")","v":""},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!K1848=\"\",\"\",ZOZNAM!K1848),\"\")","v":"https://www.timberlake.co.uk/courses/econometrics-program-evaluation-oct22.html#overview"},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!L1848=\"\",\"\",ZOZNAM!L1848),\"\")","v":"This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.\n\nAfter attending the course, the participant will be able to set up and manage a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labour market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc. Although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets."},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!M1848=\"\",\"\",ZOZNAM!M1848),\"\")","v":"nie "},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!N1848=\"\",\"\",ZOZNAM!N1848),\"\")","v":"nie "},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!O1848=\"\",\"\",ZOZNAM!O1848),\"\")","v":"nie "},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!P1848=\"\",\"\",ZOZNAM!P1848),\"\")","v":""},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!Q1848=\"\",\"\",ZOZNAM!Q1848),\"\")","v":""},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!R1848=\"\",\"\",ZOZNAM!R1848),\"\")","v":""},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!S1848=\"\",\"\",ZOZNAM!S1848),\"\")","v":""},{"$f":"IF($A1857<>\"\",IF(ZOZNAM!T1848=\"\",\"\",ZOZNAM!T1848),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1849)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1849)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1849)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1849)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1849)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1849)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1849)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1849)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1849)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1849)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1849)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1849)),FALSE))),ZOZNAM!G1849>=$C$9),ZOZNAM!A1849,\"\")","v":"TS038"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!B1849=\"\",\"\",ZOZNAM!B1849),\"\")","v":"Tstat"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!C1849=\"\",\"\",ZOZNAM!C1849),\"\")","v":"PARAMETRIC AND NONPARAMETRIC PRODUCTION FRONTIER MODELS IN STATA"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!D1849=\"\",\"\",ZOZNAM!D1849),\"\")","v":"Online "},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!E1849=\"\",\"\",ZOZNAM!E1849),\"\")","v":2},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!F1849=\"\",\"\",ZOZNAM!F1849),\"\")","v":1},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!G1849=\"\",\"\",ZOZNAM!G1849),\"\")","v":"2022-11-17"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!H1849=\"\",\"\",ZOZNAM!H1849),\"\")","v":"2022-11-18"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!I1849=\"\",\"\",ZOZNAM!I1849),\"\")","v":"1420 EUR"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!J1849=\"\",\"\",ZOZNAM!J1849),\"\")","v":""},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!K1849=\"\",\"\",ZOZNAM!K1849),\"\")","v":"https://www.tstattraining.eu/training/parametric-nonparametric-frontier-models-stata-ol/"},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!L1849=\"\",\"\",ZOZNAM!L1849),\"\")","v":"Production frontier models have over the years become an indispensable tool of analysis for both scholars and practitioners interested in the measurement of performances through efficiency scores, in academia, business and government. This course provides participants with both the knowledge and requisite applied toolset for applying frontier methods to crosssection and panel data in Stata.\n\nThe course begins by focusing on stochastic frontier models – parametric models implemented in Stata using the frontier and xtfrontier commands for cross section and panel data respectively. Participants are also introduced to the user-written commands sfkk (Karakaplan, 2017), sfcross and sfpanel (Belotti et al., 2013).\n\nThe remaining sessions focus on the non-parametric approach to frontier models, referred to in the literature as data envelopment analysis (DEA). Session 2 centers on radial and non-radial efficiency measures, along with the derived concepts of scale efficiency and the Malmquist productivity index (Färe et al., 1994), using the user written commands teradial and tenonradial (Badunenko and Mozharovskyi, 2016). Session 3 illustrates the concept of bootstrap inference for radial measures as developed by Simar and Wilson (1998) and (2000), along with bootstrap tests of independence (Wilson 2003) and returns to scale (Simar and Wilson, 2002). These procedures are implemented in Stata by nptestind, nptestrts and teradialbc (Badunenko and Mozharovskyi, 2016). The course closes with a discussion of the user written command simarwilson, a procedure which implements the Simar and Wilson (2007) approach to identify the impact of external factors on DEA efficiency scores (Badunenko and Tauchmann, 2019).\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an extensive applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.\n\nAt the end of the course, participants are expected to be able to: i) autonomously implement (with the help of the Stata routine templates specifically developed for the course) the appropriate methodology, given both the nature of their data and the analysis in hand, and ii) to have mastered the concepts of: stochastic, parametric and non-parametric frontier model analysis."},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!M1849=\"\",\"\",ZOZNAM!M1849),\"\")","v":"nie "},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!N1849=\"\",\"\",ZOZNAM!N1849),\"\")","v":"nie "},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!O1849=\"\",\"\",ZOZNAM!O1849),\"\")","v":"nie "},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!P1849=\"\",\"\",ZOZNAM!P1849),\"\")","v":""},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!Q1849=\"\",\"\",ZOZNAM!Q1849),\"\")","v":""},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!R1849=\"\",\"\",ZOZNAM!R1849),\"\")","v":""},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!S1849=\"\",\"\",ZOZNAM!S1849),\"\")","v":""},{"$f":"IF($A1858<>\"\",IF(ZOZNAM!T1849=\"\",\"\",ZOZNAM!T1849),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1850)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1850)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1850)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1850)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1850)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1850)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1850)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1850)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1850)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1850)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1850)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1850)),FALSE))),ZOZNAM!G1850>=$C$9),ZOZNAM!A1850,\"\")","v":"TS039"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!B1850=\"\",\"\",ZOZNAM!B1850),\"\")","v":"Tstat"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!C1850=\"\",\"\",ZOZNAM!C1850),\"\")","v":"PARAMETRIC AND NONPARAMETRIC PRODUCTION FRONTIER MODELS IN STATA"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!D1850=\"\",\"\",ZOZNAM!D1850),\"\")","v":"Online "},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!E1850=\"\",\"\",ZOZNAM!E1850),\"\")","v":2},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!F1850=\"\",\"\",ZOZNAM!F1850),\"\")","v":1},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!G1850=\"\",\"\",ZOZNAM!G1850),\"\")","v":"2022-11-24"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!H1850=\"\",\"\",ZOZNAM!H1850),\"\")","v":"2022-11-25"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!I1850=\"\",\"\",ZOZNAM!I1850),\"\")","v":"1420 EUR"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!J1850=\"\",\"\",ZOZNAM!J1850),\"\")","v":""},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!K1850=\"\",\"\",ZOZNAM!K1850),\"\")","v":"https://www.tstattraining.eu/training/parametric-nonparametric-frontier-models-stata-ol/"},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!L1850=\"\",\"\",ZOZNAM!L1850),\"\")","v":"Production frontier models have over the years become an indispensable tool of analysis for both scholars and practitioners interested in the measurement of performances through efficiency scores, in academia, business and government. This course provides participants with both the knowledge and requisite applied toolset for applying frontier methods to crosssection and panel data in Stata.\n\nThe course begins by focusing on stochastic frontier models – parametric models implemented in Stata using the frontier and xtfrontier commands for cross section and panel data respectively. Participants are also introduced to the user-written commands sfkk (Karakaplan, 2017), sfcross and sfpanel (Belotti et al., 2013).\n\nThe remaining sessions focus on the non-parametric approach to frontier models, referred to in the literature as data envelopment analysis (DEA). Session 2 centers on radial and non-radial efficiency measures, along with the derived concepts of scale efficiency and the Malmquist productivity index (Färe et al., 1994), using the user written commands teradial and tenonradial (Badunenko and Mozharovskyi, 2016). Session 3 illustrates the concept of bootstrap inference for radial measures as developed by Simar and Wilson (1998) and (2000), along with bootstrap tests of independence (Wilson 2003) and returns to scale (Simar and Wilson, 2002). These procedures are implemented in Stata by nptestind, nptestrts and teradialbc (Badunenko and Mozharovskyi, 2016). The course closes with a discussion of the user written command simarwilson, a procedure which implements the Simar and Wilson (2007) approach to identify the impact of external factors on DEA efficiency scores (Badunenko and Tauchmann, 2019).\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an extensive applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.\n\nAt the end of the course, participants are expected to be able to: i) autonomously implement (with the help of the Stata routine templates specifically developed for the course) the appropriate methodology, given both the nature of their data and the analysis in hand, and ii) to have mastered the concepts of: stochastic, parametric and non-parametric frontier model analysis."},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!M1850=\"\",\"\",ZOZNAM!M1850),\"\")","v":"nie "},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!N1850=\"\",\"\",ZOZNAM!N1850),\"\")","v":"nie "},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!O1850=\"\",\"\",ZOZNAM!O1850),\"\")","v":"nie "},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!P1850=\"\",\"\",ZOZNAM!P1850),\"\")","v":""},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!Q1850=\"\",\"\",ZOZNAM!Q1850),\"\")","v":""},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!R1850=\"\",\"\",ZOZNAM!R1850),\"\")","v":""},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!S1850=\"\",\"\",ZOZNAM!S1850),\"\")","v":""},{"$f":"IF($A1859<>\"\",IF(ZOZNAM!T1850=\"\",\"\",ZOZNAM!T1850),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1851)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1851)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1851)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1851)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1851)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1851)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1851)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1851)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1851)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1851)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1851)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1851)),FALSE))),ZOZNAM!G1851>=$C$9),ZOZNAM!A1851,\"\")","v":"TS040"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!B1851=\"\",\"\",ZOZNAM!B1851),\"\")","v":"Tstat"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!C1851=\"\",\"\",ZOZNAM!C1851),\"\")","v":"ANALYSING MICRO DATA IN STATA"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!D1851=\"\",\"\",ZOZNAM!D1851),\"\")","v":"Online "},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!E1851=\"\",\"\",ZOZNAM!E1851),\"\")","v":2},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!F1851=\"\",\"\",ZOZNAM!F1851),\"\")","v":1},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!G1851=\"\",\"\",ZOZNAM!G1851),\"\")","v":"2022-10-10"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!H1851=\"\",\"\",ZOZNAM!H1851),\"\")","v":"2022-10-12"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!I1851=\"\",\"\",ZOZNAM!I1851),\"\")","v":"2125 EUR"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!J1851=\"\",\"\",ZOZNAM!J1851),\"\")","v":""},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!K1851=\"\",\"\",ZOZNAM!K1851),\"\")","v":"https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/"},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!L1851=\"\",\"\",ZOZNAM!L1851),\"\")","v":"TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, data which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health.\n\nTStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding session focuses on the Control Function approach for the estimation of non-linear models with endogenous continuous variables.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course."},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!M1851=\"\",\"\",ZOZNAM!M1851),\"\")","v":"nie "},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!N1851=\"\",\"\",ZOZNAM!N1851),\"\")","v":"nie "},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!O1851=\"\",\"\",ZOZNAM!O1851),\"\")","v":"nie "},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!P1851=\"\",\"\",ZOZNAM!P1851),\"\")","v":""},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!Q1851=\"\",\"\",ZOZNAM!Q1851),\"\")","v":""},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!R1851=\"\",\"\",ZOZNAM!R1851),\"\")","v":""},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!S1851=\"\",\"\",ZOZNAM!S1851),\"\")","v":""},{"$f":"IF($A1860<>\"\",IF(ZOZNAM!T1851=\"\",\"\",ZOZNAM!T1851),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1864)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1864)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1864)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1864)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1864)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1864)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1864)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1864)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1864)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1864)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1864)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1864)),FALSE))),ZOZNAM!G1864>=$C$9),ZOZNAM!A1864,\"\")","v":"ES042"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!B1864=\"\",\"\",ZOZNAM!B1864),\"\")","v":"Eurostat"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!C1864=\"\",\"\",ZOZNAM!C1864),\"\")","v":"From annual to quarterly to monthly data: introduction to temporal disaggregation and benchmarking"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!D1864=\"\",\"\",ZOZNAM!D1864),\"\")","v":""},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!E1864=\"\",\"\",ZOZNAM!E1864),\"\")","v":3},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!F1864=\"\",\"\",ZOZNAM!F1864),\"\")","v":2},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!G1864=\"\",\"\",ZOZNAM!G1864),\"\")","v":"2022-12-05"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!H1864=\"\",\"\",ZOZNAM!H1864),\"\")","v":"2022-12-07"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!I1864=\"\",\"\",ZOZNAM!I1864),\"\")","v":""},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!J1864=\"\",\"\",ZOZNAM!J1864),\"\")","v":"2022-10-10"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!K1864=\"\",\"\",ZOZNAM!K1864),\"\")","v":"https://ec.europa.eu/eurostat/cros/content/annual-quarterly-monthly-data-introduction-temporal-disaggregation-and-benchmarking-2022_en"},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!L1864=\"\",\"\",ZOZNAM!L1864),\"\")","v":"Expected outcome: Being able to produced high frequency data (quarterly/monthly) consistent with the respective low frequency data (annual/quarterly).\nContents:\nFlow, index and stock series\nDeriving high frequency data with and without proxies\nTemporal and Accounting constraints\nTheory and practice of temporal disaggregation and data reconciliation:\nThe univariate case (main field of application: Quarterly National Accounts)\nbenchmarking and temporal disaggregation by related series of a temporally constrained time series;\ntwo-step adjustment and optimal regression based techniques: Denton's benchmarking, Chow-Lin, Fernández, Litterman.\nThe statistical reconciliation of systems of time series (main field of application: Quarterly National Accounts, Labour Force, Industrial Production Indices)\npractice using JDemetra+ plug-ins."},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!M1864=\"\",\"\",ZOZNAM!M1864),\"\")","v":"nie "},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!N1864=\"\",\"\",ZOZNAM!N1864),\"\")","v":"nie "},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!O1864=\"\",\"\",ZOZNAM!O1864),\"\")","v":"nie "},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!P1864=\"\",\"\",ZOZNAM!P1864),\"\")","v":""},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!Q1864=\"\",\"\",ZOZNAM!Q1864),\"\")","v":""},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!R1864=\"\",\"\",ZOZNAM!R1864),\"\")","v":""},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!S1864=\"\",\"\",ZOZNAM!S1864),\"\")","v":""},{"$f":"IF($A1873<>\"\",IF(ZOZNAM!T1864=\"\",\"\",ZOZNAM!T1864),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1877)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1877)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1877)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1877)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1877)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1877)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1877)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1877)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1877)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1877)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1877)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1877)),FALSE))),ZOZNAM!G1877>=$C$9),ZOZNAM!A1877,\"\")","v":"LO324"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!B1877=\"\",\"\",ZOZNAM!B1877),\"\")","v":"London School of Economics and Political Science (LSE)"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!C1877=\"\",\"\",ZOZNAM!C1877),\"\")","v":"Data Analysis for Management Online Certificate Course"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!D1877=\"\",\"\",ZOZNAM!D1877),\"\")","v":"Online "},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!E1877=\"\",\"\",ZOZNAM!E1877),\"\")","v":"8 týždňov"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!F1877=\"\",\"\",ZOZNAM!F1877),\"\")","v":"8 týždňov"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!G1877=\"\",\"\",ZOZNAM!G1877),\"\")","v":"2022-10-12"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!H1877=\"\",\"\",ZOZNAM!H1877),\"\")","v":""},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!I1877=\"\",\"\",ZOZNAM!I1877),\"\")","v":"1729 EUR"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!J1877=\"\",\"\",ZOZNAM!J1877),\"\")","v":"2022-10-04"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!K1877=\"\",\"\",ZOZNAM!K1877),\"\")","v":"https://www.getsmarter.com/products/lse-data-analysis-for-management-online-certificate-course"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!L1877=\"\",\"\",ZOZNAM!L1877),\"\")","v":"This LSE course will equip managers and analysts in a variety of industries with the skills to make data-driven decisions. Marketing and sales analysts will gain the ability to extract and interpret key business insights for competitive advantage. Similarly, finance, HR, and business analysts will develop data analysis skills that can be directly applied in their role and organisation. There are no formal prerequisites for this course, but some numerical literacy is advantageous, as well as a basic working knowledge of Microsoft Excel. "},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!M1877=\"\",\"\",ZOZNAM!M1877),\"\")","v":"úlohy"},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!N1877=\"\",\"\",ZOZNAM!N1877),\"\")","v":"nie "},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!O1877=\"\",\"\",ZOZNAM!O1877),\"\")","v":"nie "},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!P1877=\"\",\"\",ZOZNAM!P1877),\"\")","v":""},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!Q1877=\"\",\"\",ZOZNAM!Q1877),\"\")","v":""},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!R1877=\"\",\"\",ZOZNAM!R1877),\"\")","v":""},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!S1877=\"\",\"\",ZOZNAM!S1877),\"\")","v":""},{"$f":"IF($A1886<>\"\",IF(ZOZNAM!T1877=\"\",\"\",ZOZNAM!T1877),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1879)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1879)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1879)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1879)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1879)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1879)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1879)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1879)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1879)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1879)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1879)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1879)),FALSE))),ZOZNAM!G1879>=$C$9),ZOZNAM!A1879,\"\")","v":"DB002"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!B1879=\"\",\"\",ZOZNAM!B1879),\"\")","v":"Deutsche Bundesbank Eurosystem"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!C1879=\"\",\"\",ZOZNAM!C1879),\"\")","v":"Machine learning, artificial intelligence and big data – the perspective of central banks"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!D1879=\"\",\"\",ZOZNAM!D1879),\"\")","v":"Online "},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!E1879=\"\",\"\",ZOZNAM!E1879),\"\")","v":3},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!F1879=\"\",\"\",ZOZNAM!F1879),\"\")","v":2},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!G1879=\"\",\"\",ZOZNAM!G1879),\"\")","v":"2022-11-08"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!H1879=\"\",\"\",ZOZNAM!H1879),\"\")","v":"2022-11-10"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!I1879=\"\",\"\",ZOZNAM!I1879),\"\")","v":""},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!J1879=\"\",\"\",ZOZNAM!J1879),\"\")","v":"2022-09-23"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!K1879=\"\",\"\",ZOZNAM!K1879),\"\")","v":"https://www.bundesbank.de/en/bundesbank/international-central-bank-dialogue/international-central-banking-courses-/machine-learning-artificial-intelligence-and-big-data-the-perspective-of-central-banks-890546"},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!L1879=\"\",\"\",ZOZNAM!L1879),\"\")","v":"The expert panel is aimed at central bankers as well as regulators and supervisors with an interest in helping develop best practices in big data mining and management. Participants will be expected to make an active contribution to the discussions and will be invited to present and discuss current issues in machine learning, artificial intelligence and big data in their own jurisdiction."},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!M1879=\"\",\"\",ZOZNAM!M1879),\"\")","v":"nie "},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!N1879=\"\",\"\",ZOZNAM!N1879),\"\")","v":"nie "},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!O1879=\"\",\"\",ZOZNAM!O1879),\"\")","v":"nie "},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!P1879=\"\",\"\",ZOZNAM!P1879),\"\")","v":""},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!Q1879=\"\",\"\",ZOZNAM!Q1879),\"\")","v":""},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!R1879=\"\",\"\",ZOZNAM!R1879),\"\")","v":""},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!S1879=\"\",\"\",ZOZNAM!S1879),\"\")","v":""},{"$f":"IF($A1888<>\"\",IF(ZOZNAM!T1879=\"\",\"\",ZOZNAM!T1879),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1880)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1880)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1880)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1880)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1880)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1880)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1880)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1880)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1880)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1880)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1880)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1880)),FALSE))),ZOZNAM!G1880>=$C$9),ZOZNAM!A1880,\"\")","v":"DB003"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!B1880=\"\",\"\",ZOZNAM!B1880),\"\")","v":"Deutsche Bundesbank Eurosystem"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!C1880=\"\",\"\",ZOZNAM!C1880),\"\")","v":"Analytical tools for monetary policy"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!D1880=\"\",\"\",ZOZNAM!D1880),\"\")","v":"Online "},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!E1880=\"\",\"\",ZOZNAM!E1880),\"\")","v":3},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!F1880=\"\",\"\",ZOZNAM!F1880),\"\")","v":2},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!G1880=\"\",\"\",ZOZNAM!G1880),\"\")","v":"2022-11-22"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!H1880=\"\",\"\",ZOZNAM!H1880),\"\")","v":"2022-11-24"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!I1880=\"\",\"\",ZOZNAM!I1880),\"\")","v":""},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!J1880=\"\",\"\",ZOZNAM!J1880),\"\")","v":"2022-10-07"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!K1880=\"\",\"\",ZOZNAM!K1880),\"\")","v":"https://www.bundesbank.de/en/bundesbank/international-central-bank-dialogue/international-central-banking-courses-/analytical-tools-for-monetary-policy-890496"},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!L1880=\"\",\"\",ZOZNAM!L1880),\"\")","v":"Monetary policy decision-making calls for thorough analysis of economic, monetary and financial developments. Central banks assess these developments using a variety of analytical tools. The outcome of their analysis provides key input for well-informed monetary policy decisions which allow the central bank to fulfill its monetary policy mandate.This 3-day course provides an overview of different analytical tools which the staff of the Bundesbank use in the context of the monetary policy decision-making process in the monetary union. The focus of the course is on the analysis of monetary and financial developments, which represents an important part of the analytical approach adopted by the Eurosystem under the prevailing monetary policy strategy. Bundesbank experts will present key aspects of their regular analytical work. In particular, the course will illustrate specific analytical approaches in order to monitor and assess developments in the area of money and credit, in capital markets, in exchange rates and price competitiveness as well as in relation to the monetary transmission process."},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!M1880=\"\",\"\",ZOZNAM!M1880),\"\")","v":"nie "},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!N1880=\"\",\"\",ZOZNAM!N1880),\"\")","v":"nie "},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!O1880=\"\",\"\",ZOZNAM!O1880),\"\")","v":"nie "},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!P1880=\"\",\"\",ZOZNAM!P1880),\"\")","v":""},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!Q1880=\"\",\"\",ZOZNAM!Q1880),\"\")","v":""},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!R1880=\"\",\"\",ZOZNAM!R1880),\"\")","v":""},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!S1880=\"\",\"\",ZOZNAM!S1880),\"\")","v":""},{"$f":"IF($A1889<>\"\",IF(ZOZNAM!T1880=\"\",\"\",ZOZNAM!T1880),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1881)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1881)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1881)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1881)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1881)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1881)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1881)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1881)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1881)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1881)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1881)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1881)),FALSE))),ZOZNAM!G1881>=$C$9),ZOZNAM!A1881,\"\")","v":"TN001"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!B1881=\"\",\"\",ZOZNAM!B1881),\"\")","v":"Tallinn University "},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!C1881=\"\",\"\",ZOZNAM!C1881),\"\")","v":"Digital Innovation for Civic Engagement Projects (Online Edition)"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!D1881=\"\",\"\",ZOZNAM!D1881),\"\")","v":"Online "},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!E1881=\"\",\"\",ZOZNAM!E1881),\"\")","v":10},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!F1881=\"\",\"\",ZOZNAM!F1881),\"\")","v":9},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!G1881=\"\",\"\",ZOZNAM!G1881),\"\")","v":"2023-01-10"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!H1881=\"\",\"\",ZOZNAM!H1881),\"\")","v":"2023-01-19"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!I1881=\"\",\"\",ZOZNAM!I1881),\"\")","v":"400 EUR"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!J1881=\"\",\"\",ZOZNAM!J1881),\"\")","v":""},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!K1881=\"\",\"\",ZOZNAM!K1881),\"\")","v":"https://winterschool.tlu.ee/digital-innovation-for-civic-engagement-projects/"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!L1881=\"\",\"\",ZOZNAM!L1881),\"\")","v":"Digital Innovation for Civic Engagement Projects is a programme for digital transformation in communities and civic initiatives to involve more people in the discussion and decision-making process by using technology. The aim is to experience what it means to be an active citizen, community member and leader in participatory democracy and to learn about what are the biggest challenges in civic engagement. Participants will also learn how to start the digital transformation in communities and civic initiatives to involve more people in the discussion and decision-making process, using technology for that.\nThis event will bring together representatives of the international community from Indonesia, India, Switzerland, Latvia, Poland, Estonia and other countries. In this programme, we will explore and share the possibilities and challenges that participatory and e-democracy face. The representatives will share their experiences from each country and learn from each other’s projects.\nThe programme aims to improve participatory leadership skills, to learn to design civic engagement projects using technology and to do it in a culturally diverse and startup-minded environment. In this hands-on training, participants will work with their own projects to learn to initiate digitally innovative engagement projects.\nWHY TAKE THIS ONLINE COURSE?\n• The course will help you to understand the meaning of civic engagement and participatory democracy.\n• You will learn how to start the digital transformation in communities and civic initiatives in order to involve more people in the discussion and decision-making process.\n"},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!M1881=\"\",\"\",ZOZNAM!M1881),\"\")","v":"nie "},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!N1881=\"\",\"\",ZOZNAM!N1881),\"\")","v":"nie "},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!O1881=\"\",\"\",ZOZNAM!O1881),\"\")","v":"nie "},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!P1881=\"\",\"\",ZOZNAM!P1881),\"\")","v":""},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!Q1881=\"\",\"\",ZOZNAM!Q1881),\"\")","v":""},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!R1881=\"\",\"\",ZOZNAM!R1881),\"\")","v":""},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!S1881=\"\",\"\",ZOZNAM!S1881),\"\")","v":""},{"$f":"IF($A1890<>\"\",IF(ZOZNAM!T1881=\"\",\"\",ZOZNAM!T1881),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1882)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1882)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1882)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1882)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1882)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1882)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1882)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1882)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1882)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1882)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1882)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1882)),FALSE))),ZOZNAM!G1882>=$C$9),ZOZNAM!A1882,\"\")","v":"CR005"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!B1882=\"\",\"\",ZOZNAM!B1882),\"\")","v":"Cornel University"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!C1882=\"\",\"\",ZOZNAM!C1882),\"\")","v":"STSCI 2100 Introductory Statistics"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!D1882=\"\",\"\",ZOZNAM!D1882),\"\")","v":"Asynchronous distance learning"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!E1882=\"\",\"\",ZOZNAM!E1882),\"\")","v":15},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!F1882=\"\",\"\",ZOZNAM!F1882),\"\")","v":17},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!G1882=\"\",\"\",ZOZNAM!G1882),\"\")","v":"2023-01-03"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!H1882=\"\",\"\",ZOZNAM!H1882),\"\")","v":"2023-01-20"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!I1882=\"\",\"\",ZOZNAM!I1882),\"\")","v":"6720 USD"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!J1882=\"\",\"\",ZOZNAM!J1882),\"\")","v":""},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!K1882=\"\",\"\",ZOZNAM!K1882),\"\")","v":"https://sce.cornell.edu/courses/roster/stsci-2100"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!L1882=\"\",\"\",ZOZNAM!L1882),\"\")","v":"Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. Students learn to use statistical software and simulation tools to discover fundamental results. They use computers regularly; the test includes both multimedia materials and a software package. This course does not focus on data from any particular discipline, but will use real-world examples from a wide variety of disciplines and current events.\n"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!M1882=\"\",\"\",ZOZNAM!M1882),\"\")","v":""},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!N1882=\"\",\"\",ZOZNAM!N1882),\"\")","v":"nie "},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!O1882=\"\",\"\",ZOZNAM!O1882),\"\")","v":"áno"},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!P1882=\"\",\"\",ZOZNAM!P1882),\"\")","v":""},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!Q1882=\"\",\"\",ZOZNAM!Q1882),\"\")","v":""},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!R1882=\"\",\"\",ZOZNAM!R1882),\"\")","v":""},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!S1882=\"\",\"\",ZOZNAM!S1882),\"\")","v":""},{"$f":"IF($A1891<>\"\",IF(ZOZNAM!T1882=\"\",\"\",ZOZNAM!T1882),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1883)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1883)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1883)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1883)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1883)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1883)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1883)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1883)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1883)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1883)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1883)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1883)),FALSE))),ZOZNAM!G1883>=$C$9),ZOZNAM!A1883,\"\")","v":"SM012"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!B1883=\"\",\"\",ZOZNAM!B1883),\"\")","v":"University of Southampton"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!C1883=\"\",\"\",ZOZNAM!C1883),\"\")","v":"ArcGIS (ArcMap): Introduction to Coastal and Marine GIS (Online)"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!D1883=\"\",\"\",ZOZNAM!D1883),\"\")","v":"Online"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!E1883=\"\",\"\",ZOZNAM!E1883),\"\")","v":3},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!F1883=\"\",\"\",ZOZNAM!F1883),\"\")","v":3},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!G1883=\"\",\"\",ZOZNAM!G1883),\"\")","v":"2022-10-11"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!H1883=\"\",\"\",ZOZNAM!H1883),\"\")","v":"2022-10-13"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!I1883=\"\",\"\",ZOZNAM!I1883),\"\")","v":"695 GBP"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!J1883=\"\",\"\",ZOZNAM!J1883),\"\")","v":""},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!K1883=\"\",\"\",ZOZNAM!K1883),\"\")","v":"http://www.geodata.soton.ac.uk/geodata/training/Courses"},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!L1883=\"\",\"\",ZOZNAM!L1883),\"\")","v":"Delivering sustainable development in the\nmarine environment requires a balance to be\nachieved between resource use and\nprotection of our seas. Spatial data is\nincreasingly important in such decision\nmaking being used for marine planning,\nconflict management and environmental\nmanagement.\nGeoData’s experienced GIS trainers have\nteamed up with ABPmer GIS Consultants,\nwho specialise in the coastal and marine\nsector, to create a course that will provide\nyou with the background and skills necessary\nto utilise these powerful tools and\ntechniques.\nThe course introduces GIS concepts and\ntechniques using ArcGIS 10. In addition, it\ndescribes available Coastal and Marine GIS\ndatasets, which also form the basis for the\ncourse exercises.\nA project showcase, drawn from ABPmer’s\nportfolio, illustrates how these datasets have\nbeen used within GIS to support coastal and\nmarine decision making. The course also\nconsiders common problems faced when\nmapping the coastal and offshore zones\n(including projections, vertical datums, etc.)\nand offers a GIS Clinic, where delegates have\nthe opportunity to discuss their own specific\nissues with the experts."},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!M1883=\"\",\"\",ZOZNAM!M1883),\"\")","v":"nie "},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!N1883=\"\",\"\",ZOZNAM!N1883),\"\")","v":"nie "},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!O1883=\"\",\"\",ZOZNAM!O1883),\"\")","v":"nie "},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!P1883=\"\",\"\",ZOZNAM!P1883),\"\")","v":""},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!Q1883=\"\",\"\",ZOZNAM!Q1883),\"\")","v":""},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!R1883=\"\",\"\",ZOZNAM!R1883),\"\")","v":""},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!S1883=\"\",\"\",ZOZNAM!S1883),\"\")","v":""},{"$f":"IF($A1892<>\"\",IF(ZOZNAM!T1883=\"\",\"\",ZOZNAM!T1883),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1897)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1897)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1897)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1897)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1897)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1897)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1897)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1897)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1897)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1897)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1897)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1897)),FALSE))),ZOZNAM!G1897>=$C$9),ZOZNAM!A1897,\"\")","v":"AE035"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!B1897=\"\",\"\",ZOZNAM!B1897),\"\")","v":"AdeptEvents"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!C1897=\"\",\"\",ZOZNAM!C1897),\"\")","v":"TACKLING DATA QUALITY PROBLEMS"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!D1897=\"\",\"\",ZOZNAM!D1897),\"\")","v":"Online"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!E1897=\"\",\"\",ZOZNAM!E1897),\"\")","v":1},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!F1897=\"\",\"\",ZOZNAM!F1897),\"\")","v":1},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!G1897=\"\",\"\",ZOZNAM!G1897),\"\")","v":"2022-11-24"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!H1897=\"\",\"\",ZOZNAM!H1897),\"\")","v":"2022-11-24"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!I1897=\"\",\"\",ZOZNAM!I1897),\"\")","v":"280 EUR"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!J1897=\"\",\"\",ZOZNAM!J1897),\"\")","v":""},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!K1897=\"\",\"\",ZOZNAM!K1897),\"\")","v":"https://adeptevents.nl/event/tackling-data-quality-problems?lang=en#general"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!L1897=\"\",\"\",ZOZNAM!L1897),\"\")","v":"We will send the course materials and meeting instructions well in advance as well as the invitation with hyperlink to join us online. The seminar will start at 9:00 and lasts until 13:00 CET. The online meeting will be available at least one half hour earlier so please log in timely in order to check your sound and video settings beforehand.\n\n \n\nCourse Description \n\nData Quality: Myths & Realities\nWhat is data quality and what is ‘fit for purpose’ data\nThe impact of poor data quality on organisations and individuals\nThe causes of poor data quality\nCommon data quality myths and misconceptions\nThe relationship of data quality to other data management disciplines\n \n\nHolistic Approaches to Data Quality Improvement\nWhy traditional approaches to data quality improvement have limited success\nThe need for a holistic approach encompassing people, process and technology\nAn overview of the A to E approach and its benefits\n \n\nA to E: Assess\nUnderstanding your organisation’s data quality needs – today and tomorrow\nIdentifying key data quality stakeholders\nEvaluating data quality ‘fitness for purpose’\nUncovering and capturing data quality problems\n \n\nA to E: Baseline\nMeasuring the quality of key data sources\nUnderstanding the 7 dimensions of data quality\nData profiling – how to baseline and quantify data quality\nAssessing the business impact of data quality problems\n \n\nA to E: Converge\nPrioritising data quality problems\nIdentifying pilot / proof of concept projects\nProducing data quality improvement business cases\nGaining business and IT commitment\n \n\nA to E: Develop\nCreating data quality improvement teams\nKey roles and responsibilities\nAnalysing root causes of data quality problems\nCreating and delivering a Data Improvement Plan (DIP)\n \n\nA to E: Evaluate\nManaging data quality improvement as a continuous process\nUseful tools and technologies\nData governance and sustaining the gains\nData quality monitoring and reporting\nSelling the benefits\n \n\nThe Future of Data Quality\nFuture data quality challenges\nHow to stay ahead of the challenges\nCourse conclusion and follow ups"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!M1897=\"\",\"\",ZOZNAM!M1897),\"\")","v":"ZľAVA NA KURZ-The Early Bird rate of € 252,00 expires (*) after 25 October 2022. Register now and receive discount!"},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!N1897=\"\",\"\",ZOZNAM!N1897),\"\")","v":"nie "},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!O1897=\"\",\"\",ZOZNAM!O1897),\"\")","v":"nie "},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!P1897=\"\",\"\",ZOZNAM!P1897),\"\")","v":""},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!Q1897=\"\",\"\",ZOZNAM!Q1897),\"\")","v":""},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!R1897=\"\",\"\",ZOZNAM!R1897),\"\")","v":""},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!S1897=\"\",\"\",ZOZNAM!S1897),\"\")","v":""},{"$f":"IF($A1906<>\"\",IF(ZOZNAM!T1897=\"\",\"\",ZOZNAM!T1897),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1898)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1898)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1898)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1898)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1898)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1898)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1898)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1898)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1898)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1898)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1898)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1898)),FALSE))),ZOZNAM!G1898>=$C$9),ZOZNAM!A1898,\"\")","v":"TS049"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!B1898=\"\",\"\",ZOZNAM!B1898),\"\")","v":"Tstat"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!C1898=\"\",\"\",ZOZNAM!C1898),\"\")","v":"TIME SERIES MODELLING AND FORECASTING USING STATA"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!D1898=\"\",\"\",ZOZNAM!D1898),\"\")","v":"Online "},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!E1898=\"\",\"\",ZOZNAM!E1898),\"\")","v":2},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!F1898=\"\",\"\",ZOZNAM!F1898),\"\")","v":1},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!G1898=\"\",\"\",ZOZNAM!G1898),\"\")","v":"2022-12-19"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!H1898=\"\",\"\",ZOZNAM!H1898),\"\")","v":"2022-12-20"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!I1898=\"\",\"\",ZOZNAM!I1898),\"\")","v":"675 EUR"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!J1898=\"\",\"\",ZOZNAM!J1898),\"\")","v":"2022-12-09"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!K1898=\"\",\"\",ZOZNAM!K1898),\"\")","v":"https://www.tstattraining.eu/training/time-series-modelling-and-forecasting-stata-ol/"},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!L1898=\"\",\"\",ZOZNAM!L1898),\"\")","v":"Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of our is therefore to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the programm has been developed to offers an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series.\n\nIn common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises with Stata. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. At the end of the course, participants are expected to be able to autonomously implement the methods discussed in the course."},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!M1898=\"\",\"\",ZOZNAM!M1898),\"\")","v":""},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!N1898=\"\",\"\",ZOZNAM!N1898),\"\")","v":"nie "},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!O1898=\"\",\"\",ZOZNAM!O1898),\"\")","v":"nie "},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!P1898=\"\",\"\",ZOZNAM!P1898),\"\")","v":""},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!Q1898=\"\",\"\",ZOZNAM!Q1898),\"\")","v":""},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!R1898=\"\",\"\",ZOZNAM!R1898),\"\")","v":""},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!S1898=\"\",\"\",ZOZNAM!S1898),\"\")","v":""},{"$f":"IF($A1907<>\"\",IF(ZOZNAM!T1898=\"\",\"\",ZOZNAM!T1898),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1899)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1899)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1899)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1899)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1899)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1899)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1899)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1899)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1899)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1899)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1899)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1899)),FALSE))),ZOZNAM!G1899>=$C$9),ZOZNAM!A1899,\"\")","v":"EC347"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!B1899=\"\",\"\",ZOZNAM!B1899),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!C1899=\"\",\"\",ZOZNAM!C1899),\"\")","v":"Advanced Qualitative Data Analysis"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!D1899=\"\",\"\",ZOZNAM!D1899),\"\")","v":"Online"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!E1899=\"\",\"\",ZOZNAM!E1899),\"\")","v":5},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!F1899=\"\",\"\",ZOZNAM!F1899),\"\")","v":5},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!G1899=\"\",\"\",ZOZNAM!G1899),\"\")","v":"2023-02-13"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!H1899=\"\",\"\",ZOZNAM!H1899),\"\")","v":"2023-02-17"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!I1899=\"\",\"\",ZOZNAM!I1899),\"\")","v":"1127 EUR"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!J1899=\"\",\"\",ZOZNAM!J1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!K1899=\"\",\"\",ZOZNAM!K1899),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12417"},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!L1899=\"\",\"\",ZOZNAM!L1899),\"\")","v":"Learn how to use NVivo for conducting four popular methods of qualitative analysis widely used in the social sciences:\n\nqualitative content analysis\nthematic analysis\ncross-case analysis\ngrounded theory\nOn the last day, we look at method integration; that is, integrating components of the four methods into a single study.\n\nBy the end of this course, you will be able to:\n\nDescribe the aim, objectives, and expected outcomes of the above four methods\nDemonstrate how each method suits a given research question\nImplement each method’s coding and analysis procedures in NVivo\nGenerate graphic displays that match each method’s style\nAppraise the quality of qualitative studies that used the four methods\nPropose situations where methods integration is feasible."},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!M1899=\"\",\"\",ZOZNAM!M1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!N1899=\"\",\"\",ZOZNAM!N1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!O1899=\"\",\"\",ZOZNAM!O1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!P1899=\"\",\"\",ZOZNAM!P1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!Q1899=\"\",\"\",ZOZNAM!Q1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!R1899=\"\",\"\",ZOZNAM!R1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!S1899=\"\",\"\",ZOZNAM!S1899),\"\")","v":""},{"$f":"IF($A1908<>\"\",IF(ZOZNAM!T1899=\"\",\"\",ZOZNAM!T1899),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1900)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1900)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1900)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1900)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1900)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1900)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1900)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1900)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1900)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1900)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1900)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1900)),FALSE))),ZOZNAM!G1900>=$C$9),ZOZNAM!A1900,\"\")","v":"EC348"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!B1900=\"\",\"\",ZOZNAM!B1900),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!C1900=\"\",\"\",ZOZNAM!C1900),\"\")","v":"Applied Regression Analysis: Estimation, Diagnostics, and Modelling"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!D1900=\"\",\"\",ZOZNAM!D1900),\"\")","v":"Leuven, Belgicko"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!E1900=\"\",\"\",ZOZNAM!E1900),\"\")","v":5},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!F1900=\"\",\"\",ZOZNAM!F1900),\"\")","v":5},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!G1900=\"\",\"\",ZOZNAM!G1900),\"\")","v":"6.2.20223"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!H1900=\"\",\"\",ZOZNAM!H1900),\"\")","v":"2023-02-10"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!I1900=\"\",\"\",ZOZNAM!I1900),\"\")","v":"1127 EUR"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!J1900=\"\",\"\",ZOZNAM!J1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!K1900=\"\",\"\",ZOZNAM!K1900),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12422"},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!L1900=\"\",\"\",ZOZNAM!L1900),\"\")","v":"This course offers an introduction to regression analysis using R (one of the most versatile and popular programming languages). You will learn the classical theory of Ordinary Least Squares (OLS) regression, as well as non-linear regression techniques. You will use a variety of data and models to show when and how regression can be useful in policy analysis, and other contexts."},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!M1900=\"\",\"\",ZOZNAM!M1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!N1900=\"\",\"\",ZOZNAM!N1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!O1900=\"\",\"\",ZOZNAM!O1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!P1900=\"\",\"\",ZOZNAM!P1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!Q1900=\"\",\"\",ZOZNAM!Q1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!R1900=\"\",\"\",ZOZNAM!R1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!S1900=\"\",\"\",ZOZNAM!S1900),\"\")","v":""},{"$f":"IF($A1909<>\"\",IF(ZOZNAM!T1900=\"\",\"\",ZOZNAM!T1900),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1901)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1901)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1901)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1901)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1901)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1901)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1901)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1901)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1901)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1901)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1901)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1901)),FALSE))),ZOZNAM!G1901>=$C$9),ZOZNAM!A1901,\"\")","v":"EC349"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!B1901=\"\",\"\",ZOZNAM!B1901),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!C1901=\"\",\"\",ZOZNAM!C1901),\"\")","v":"Case Study Research: Method and Practice"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!D1901=\"\",\"\",ZOZNAM!D1901),\"\")","v":"Online"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!E1901=\"\",\"\",ZOZNAM!E1901),\"\")","v":5},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!F1901=\"\",\"\",ZOZNAM!F1901),\"\")","v":5},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!G1901=\"\",\"\",ZOZNAM!G1901),\"\")","v":"2023-02-13"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!H1901=\"\",\"\",ZOZNAM!H1901),\"\")","v":"2023-02-17"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!I1901=\"\",\"\",ZOZNAM!I1901),\"\")","v":"1127 EUR"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!J1901=\"\",\"\",ZOZNAM!J1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!K1901=\"\",\"\",ZOZNAM!K1901),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12419"},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!L1901=\"\",\"\",ZOZNAM!L1901),\"\")","v":"This course covers key elements of qualitative case studies and process tracing for the purpose of making causal claims about effects or mechanisms. Before the course starts, for each of the sessions, you can watch a recording that sets the stage for the live online sessions.\n\nBy the end of this course, you will have learned about all elements of comparative case studies and process tracing, and be able to implement a sound case study."},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!M1901=\"\",\"\",ZOZNAM!M1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!N1901=\"\",\"\",ZOZNAM!N1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!O1901=\"\",\"\",ZOZNAM!O1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!P1901=\"\",\"\",ZOZNAM!P1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!Q1901=\"\",\"\",ZOZNAM!Q1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!R1901=\"\",\"\",ZOZNAM!R1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!S1901=\"\",\"\",ZOZNAM!S1901),\"\")","v":""},{"$f":"IF($A1910<>\"\",IF(ZOZNAM!T1901=\"\",\"\",ZOZNAM!T1901),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1906)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1906)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1906)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1906)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1906)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1906)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1906)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1906)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1906)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1906)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1906)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1906)),FALSE))),ZOZNAM!G1906>=$C$9),ZOZNAM!A1906,\"\")","v":"EC354"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!B1906=\"\",\"\",ZOZNAM!B1906),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!C1906=\"\",\"\",ZOZNAM!C1906),\"\")","v":"Introduction to NVivo"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!D1906=\"\",\"\",ZOZNAM!D1906),\"\")","v":"Leuven, Belgicko"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!E1906=\"\",\"\",ZOZNAM!E1906),\"\")","v":1},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!F1906=\"\",\"\",ZOZNAM!F1906),\"\")","v":2},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!G1906=\"\",\"\",ZOZNAM!G1906),\"\")","v":"2023-02-10"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!H1906=\"\",\"\",ZOZNAM!H1906),\"\")","v":"2023-02-11"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!I1906=\"\",\"\",ZOZNAM!I1906),\"\")","v":"1127 EUR"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!J1906=\"\",\"\",ZOZNAM!J1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!K1906=\"\",\"\",ZOZNAM!K1906),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12412"},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!L1906=\"\",\"\",ZOZNAM!L1906),\"\")","v":"This course teaches the basic and advanced features of NVivo for qualitative data analysis. You will learn to:\n\nset up an NVivo project\norganise data\nmanage your literature review\ncode data by themes \nseek patterns and relationships\npresent findings with visualisations.\nThis course does not teach how to use NVivo for specific qualitative methodologies such as thematic analysis, discourse analysis, content analysis, grounded theory, etc. For that, you need Advanced Qualitative Data Analysis."},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!M1906=\"\",\"\",ZOZNAM!M1906),\"\")","v":"Pre účasť na kurze odporúčajú absolvovať Advanced Qualitative Data Analysis."},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!N1906=\"\",\"\",ZOZNAM!N1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!O1906=\"\",\"\",ZOZNAM!O1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!P1906=\"\",\"\",ZOZNAM!P1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!Q1906=\"\",\"\",ZOZNAM!Q1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!R1906=\"\",\"\",ZOZNAM!R1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!S1906=\"\",\"\",ZOZNAM!S1906),\"\")","v":""},{"$f":"IF($A1915<>\"\",IF(ZOZNAM!T1906=\"\",\"\",ZOZNAM!T1906),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1907)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1907)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1907)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1907)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1907)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1907)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1907)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1907)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1907)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1907)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1907)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1907)),FALSE))),ZOZNAM!G1907>=$C$9),ZOZNAM!A1907,\"\")","v":"EC355"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!B1907=\"\",\"\",ZOZNAM!B1907),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!C1907=\"\",\"\",ZOZNAM!C1907),\"\")","v":"Introduction to R"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!D1907=\"\",\"\",ZOZNAM!D1907),\"\")","v":"Leuven, Belgicko"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!E1907=\"\",\"\",ZOZNAM!E1907),\"\")","v":5},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!F1907=\"\",\"\",ZOZNAM!F1907),\"\")","v":5},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!G1907=\"\",\"\",ZOZNAM!G1907),\"\")","v":"6.2.20223"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!H1907=\"\",\"\",ZOZNAM!H1907),\"\")","v":"2023-02-10"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!I1907=\"\",\"\",ZOZNAM!I1907),\"\")","v":"1127 EUR"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!J1907=\"\",\"\",ZOZNAM!J1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!K1907=\"\",\"\",ZOZNAM!K1907),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12413"},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!L1907=\"\",\"\",ZOZNAM!L1907),\"\")","v":"By the end of this course, you will be able to approach the most common analysis tasks in R with confidence. The aim is to provide an accessible entry into the world of R and show how a range of recent developments make R not just powerful, but accessible to newcomers."},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!M1907=\"\",\"\",ZOZNAM!M1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!N1907=\"\",\"\",ZOZNAM!N1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!O1907=\"\",\"\",ZOZNAM!O1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!P1907=\"\",\"\",ZOZNAM!P1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!Q1907=\"\",\"\",ZOZNAM!Q1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!R1907=\"\",\"\",ZOZNAM!R1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!S1907=\"\",\"\",ZOZNAM!S1907),\"\")","v":""},{"$f":"IF($A1916<>\"\",IF(ZOZNAM!T1907=\"\",\"\",ZOZNAM!T1907),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1908)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1908)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1908)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1908)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1908)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1908)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1908)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1908)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1908)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1908)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1908)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1908)),FALSE))),ZOZNAM!G1908>=$C$9),ZOZNAM!A1908,\"\")","v":"EC356"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!B1908=\"\",\"\",ZOZNAM!B1908),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!C1908=\"\",\"\",ZOZNAM!C1908),\"\")","v":"Machine Learning with Big Data for Social Scientists"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!D1908=\"\",\"\",ZOZNAM!D1908),\"\")","v":"Online"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!E1908=\"\",\"\",ZOZNAM!E1908),\"\")","v":5},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!F1908=\"\",\"\",ZOZNAM!F1908),\"\")","v":5},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!G1908=\"\",\"\",ZOZNAM!G1908),\"\")","v":"6.2.20223"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!H1908=\"\",\"\",ZOZNAM!H1908),\"\")","v":"2023-02-10"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!I1908=\"\",\"\",ZOZNAM!I1908),\"\")","v":"1127 EUR"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!J1908=\"\",\"\",ZOZNAM!J1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!K1908=\"\",\"\",ZOZNAM!K1908),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12420"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!L1908=\"\",\"\",ZOZNAM!L1908),\"\")","v":"The course has two core topics:\n\nconstructing and managing large datasets in R\nmachine learning, with specific focus on providing analytics from large datasets. \nFor the first topic, big data, we start by asking: What is big data? Why it is difficult to work with? We then learn the best solutions in R for working with big data depending on the size of data, from locally stored data objects to databases hosted on the cloud. \n\nFor the second topic, machine learning, we will learn basic concepts such as:\n\nproblem definitions\nobjective function\nbias-variance trade-offs\nparameter tuning. \nIn statistical analysis, social science traditionally has emphasised the explanation of some outcomes with some inputs. Machine learning has an overlapping but evidently different orientation.\n\nBy contrasting the inference-based approach with the prediction-focused approach, you get to understand the fundamental ideas of machine learning.\n\nAfter theoretical discussions, we will apply machine learning techniques to various analytical tasks in social sciences.\n\n"},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!M1908=\"\",\"\",ZOZNAM!M1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!N1908=\"\",\"\",ZOZNAM!N1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!O1908=\"\",\"\",ZOZNAM!O1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!P1908=\"\",\"\",ZOZNAM!P1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!Q1908=\"\",\"\",ZOZNAM!Q1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!R1908=\"\",\"\",ZOZNAM!R1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!S1908=\"\",\"\",ZOZNAM!S1908),\"\")","v":""},{"$f":"IF($A1917<>\"\",IF(ZOZNAM!T1908=\"\",\"\",ZOZNAM!T1908),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1909)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1909)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1909)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1909)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1909)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1909)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1909)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1909)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1909)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1909)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1909)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1909)),FALSE))),ZOZNAM!G1909>=$C$9),ZOZNAM!A1909,\"\")","v":"EC357"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!B1909=\"\",\"\",ZOZNAM!B1909),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!C1909=\"\",\"\",ZOZNAM!C1909),\"\")","v":"Multivariate Statistical Techniques for Comparing Countries"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!D1909=\"\",\"\",ZOZNAM!D1909),\"\")","v":"Leuven, Belgicko"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!E1909=\"\",\"\",ZOZNAM!E1909),\"\")","v":5},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!F1909=\"\",\"\",ZOZNAM!F1909),\"\")","v":5},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!G1909=\"\",\"\",ZOZNAM!G1909),\"\")","v":"6.2.20223"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!H1909=\"\",\"\",ZOZNAM!H1909),\"\")","v":"2023-02-10"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!I1909=\"\",\"\",ZOZNAM!I1909),\"\")","v":"1127 EUR"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!J1909=\"\",\"\",ZOZNAM!J1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!K1909=\"\",\"\",ZOZNAM!K1909),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12423"},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!L1909=\"\",\"\",ZOZNAM!L1909),\"\")","v":"This course offers an introduction to the main statistical techniques used to analyse cross-national comparative surveys data. \n\nBy the end, you will gain an understanding of how different statistical methods treat the ‘country effect’: how statistical models (linear regression, logit models, loglinear models, multilevel regression models), scaling techniques (from simple methods to complex factorial techniques) or data reduction methods (factor and PCA analysis) test for the ‘invariance’ of the relationship between variables across countries. \n\nDuring the course you will use R and/or Stata."},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!M1909=\"\",\"\",ZOZNAM!M1909),\"\")","v":"Na kurze sa používa R/Stata."},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!N1909=\"\",\"\",ZOZNAM!N1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!O1909=\"\",\"\",ZOZNAM!O1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!P1909=\"\",\"\",ZOZNAM!P1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!Q1909=\"\",\"\",ZOZNAM!Q1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!R1909=\"\",\"\",ZOZNAM!R1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!S1909=\"\",\"\",ZOZNAM!S1909),\"\")","v":""},{"$f":"IF($A1918<>\"\",IF(ZOZNAM!T1909=\"\",\"\",ZOZNAM!T1909),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1910)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1910)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1910)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1910)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1910)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1910)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1910)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1910)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1910)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1910)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1910)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1910)),FALSE))),ZOZNAM!G1910>=$C$9),ZOZNAM!A1910,\"\")","v":"EC358"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!B1910=\"\",\"\",ZOZNAM!B1910),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!C1910=\"\",\"\",ZOZNAM!C1910),\"\")","v":"Online Qualitative Data Collection: Methods, Technology and Ethics"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!D1910=\"\",\"\",ZOZNAM!D1910),\"\")","v":"Online"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!E1910=\"\",\"\",ZOZNAM!E1910),\"\")","v":5},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!F1910=\"\",\"\",ZOZNAM!F1910),\"\")","v":5},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!G1910=\"\",\"\",ZOZNAM!G1910),\"\")","v":"6.2.20223"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!H1910=\"\",\"\",ZOZNAM!H1910),\"\")","v":"2023-02-10"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!I1910=\"\",\"\",ZOZNAM!I1910),\"\")","v":"1127 EUR"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!J1910=\"\",\"\",ZOZNAM!J1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!K1910=\"\",\"\",ZOZNAM!K1910),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12418"},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!L1910=\"\",\"\",ZOZNAM!L1910),\"\")","v":"This course focuses on the use of digital technologies for qualitative data collection, from a conceptual and an applied perspective, including logistical, technical and ethical issues.\n\nIt provides hands-on training in online qualitative data collection methods, covering methodological and practical aspects of online focus groups, online interviewing, and virtual ethnography (online fieldwork). \n\nBy the end of this course, you will be able to:\n\nunderstand concepts and assumptions of social science methodology using digital technologies\ndesign research with online qualitative data collection\ncollect qualitative data online\naddress technological and ethical issues using digital technologies."},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!M1910=\"\",\"\",ZOZNAM!M1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!N1910=\"\",\"\",ZOZNAM!N1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!O1910=\"\",\"\",ZOZNAM!O1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!P1910=\"\",\"\",ZOZNAM!P1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!Q1910=\"\",\"\",ZOZNAM!Q1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!R1910=\"\",\"\",ZOZNAM!R1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!S1910=\"\",\"\",ZOZNAM!S1910),\"\")","v":""},{"$f":"IF($A1919<>\"\",IF(ZOZNAM!T1910=\"\",\"\",ZOZNAM!T1910),\"\")","v":""}]
[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1911)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1911)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1911)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1911)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1911)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1911)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1911)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1911)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1911)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1911)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1911)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1911)),FALSE))),ZOZNAM!G1911>=$C$9),ZOZNAM!A1911,\"\")","v":"EC359"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!B1911=\"\",\"\",ZOZNAM!B1911),\"\")","v":"European Consortium for Political Research (ECPR)"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!C1911=\"\",\"\",ZOZNAM!C1911),\"\")","v":"Panel Data Analysis"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!D1911=\"\",\"\",ZOZNAM!D1911),\"\")","v":"Online"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!E1911=\"\",\"\",ZOZNAM!E1911),\"\")","v":5},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!F1911=\"\",\"\",ZOZNAM!F1911),\"\")","v":5},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!G1911=\"\",\"\",ZOZNAM!G1911),\"\")","v":"6.2.20223"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!H1911=\"\",\"\",ZOZNAM!H1911),\"\")","v":"2023-02-10"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!I1911=\"\",\"\",ZOZNAM!I1911),\"\")","v":"1127 EUR"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!J1911=\"\",\"\",ZOZNAM!J1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!K1911=\"\",\"\",ZOZNAM!K1911),\"\")","v":"https://ecpr.eu/Events/Event/PanelDetails/12424"},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!L1911=\"\",\"\",ZOZNAM!L1911),\"\")","v":"This course focuses on panel data models estimated with OLS; namely, linear models for dependent variables that are continuous or can be reasonably assumed to be continuous.\n\nAlthough the basic concepts and ideas also apply to models designed for binary or ordinal dependent variables such as probit or logit, these models are complicated by maximum likelihood estimation (MLE) and require a different set of foundations.\n\nLimited course hours and the complexity of MLE means we won't cover non-continuous panel data models for dependent variables, such as fixed-effect logit and 2SLS (IV) probit models."},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!M1911=\"\",\"\",ZOZNAM!M1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!N1911=\"\",\"\",ZOZNAM!N1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!O1911=\"\",\"\",ZOZNAM!O1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!P1911=\"\",\"\",ZOZNAM!P1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!Q1911=\"\",\"\",ZOZNAM!Q1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!R1911=\"\",\"\",ZOZNAM!R1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!S1911=\"\",\"\",ZOZNAM!S1911),\"\")","v":""},{"$f":"IF($A1920<>\"\",IF(ZOZNAM!T1911=\"\",\"\",ZOZNAM!T1911),\"\")","v":""}]
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[{"$f":"IF(AND(OR(AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!C1949)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!C1949)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!C1949)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!C1949)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!C1949)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!C1949)),FALSE)),AND(IFERROR(FIND(UPPER($C$3),UPPER(ZOZNAM!L1949)),FALSE),IFERROR(FIND(UPPER($C$4),UPPER(ZOZNAM!L1949)),FALSE),IFERROR(FIND(UPPER($C$5),UPPER(ZOZNAM!L1949)),FALSE),IFERROR(FIND(UPPER($C$6),UPPER(ZOZNAM!L1949)),FALSE),IFERROR(FIND(UPPER($C$7),UPPER(ZOZNAM!L1949)),FALSE),IFERROR(FIND(UPPER($C$8),UPPER(ZOZNAM!L1949)),FALSE))),ZOZNAM!G1949>=$C$9),ZOZNAM!A1949,\"\")","v":"OU027"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!B1949=\"\",\"\",ZOZNAM!B1949),\"\")","v":"University of Oxford"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!C1949=\"\",\"\",ZOZNAM!C1949),\"\")","v":"R for Statistical Significance Tests"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!D1949=\"\",\"\",ZOZNAM!D1949),\"\")","v":"Online"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!E1949=\"\",\"\",ZOZNAM!E1949),\"\")","v":0},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!F1949=\"\",\"\",ZOZNAM!F1949),\"\")","v":1},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!G1949=\"\",\"\",ZOZNAM!G1949),\"\")","v":"2023-01-14"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!H1949=\"\",\"\",ZOZNAM!H1949),\"\")","v":"2023-01-14"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!I1949=\"\",\"\",ZOZNAM!I1949),\"\")","v":"95 GBP"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!J1949=\"\",\"\",ZOZNAM!J1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!K1949=\"\",\"\",ZOZNAM!K1949),\"\")","v":"https://www.conted.ox.ac.uk/courses/r-for-statistical-significance-tests?code=O22P124COJ"},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!L1949=\"\",\"\",ZOZNAM!L1949),\"\")","v":"R is a great computer programming language that is not difficult to learn even for those who have no previous computer programming experience. It is a high-level language which means its instructions and commands are human-readable. It is known for its large world-wide community and its power in data and statistical analyses."},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!M1949=\"\",\"\",ZOZNAM!M1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!N1949=\"\",\"\",ZOZNAM!N1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!O1949=\"\",\"\",ZOZNAM!O1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!P1949=\"\",\"\",ZOZNAM!P1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!Q1949=\"\",\"\",ZOZNAM!Q1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!R1949=\"\",\"\",ZOZNAM!R1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!S1949=\"\",\"\",ZOZNAM!S1949),\"\")","v":""},{"$f":"IF($A1958<>\"\",IF(ZOZNAM!T1949=\"\",\"\",ZOZNAM!T1949),\"\")","v":""}]

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["Ceny a dátumy sa môžu pri jednotlivých vzdelávaniach líšiť od údajov na webových stránkach inštitúcií, nakoľko sa v čase môžu meniť. Prosím, skontrolujte si všetky údaje na linku priloženom pri každom vzdelávaní. Ďakujeme."]
["Kód","Inštitúcia","Názov kurzu","Miesto konania","Dĺžka (pracovné dni)","Dĺžka (kalendárne dni)","Dátum konania\nOD","Dátum konania\nDO","Poplatok","Termín zaplatenia poplatku/prihlásenia","Web stránka","Opis","Poznámka","Ubytovanie v cene","Skúška","Hodnotenie inštitúcie","Celkové hodnotenie kurzu","Počet hodnotiteľov","Komu je kurz určený z pohľadu náročnosti","Slovné hodnotenie"]
["AA001","Aalto University","Aalto University Summer School on Transportation","Espoo, Fínsko",{"$f":"NETWORKDAYS(G3,H3,sviatky)","v":5},{"$f":"_xlfn.DAYS(H3,G3)+1","v":7},"2019-05-29","2019-06-04","900 EUR",null,"https://www.aalto.fi/events/aalto-university-summer-school-on-transportation","This Summer School on Transportation (ASTRA) offers innovative and practical approaches to understand and solve timely transport problems in both developed and developing countries. The school presents an intensive learning experience for transport professionals.\n\nSummer School collaborates with planners from the City of Helsinki, who will provide and interact in two strategic planning cases areas in the city. ","Early Bird - 700 EUR","nie","nie","","","","",""]
["AC100","ACREA CR","Korelační analýza","Praha, Česko",1,1,"2019-02-25","2019-02-25","240 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","The aim of this course is to acquaint students with correlation measures for numerical data and their application in various practical situations. Topic  is illustrated and practiced on real data from analytical practice. Students will acquire sufficient knowledge for independent correct use of correlations in their own analyzes.",null,"nie","nie",1.9,1.5,2,"Začiatočníkom","Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."]
["AC101","ACREA CR","Regresní analýza I","Praha, Česko",1,1,"2019-02-26","2019-02-26","240 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","This course includes models of one-dimensional and multi-dimensional linear regression analysis for numeric variables. Emphasis is on the importance and construction of the basic model, tests of hypotheses on its parameters and on the selection of suitable predictors using automatic procedures. Course also includes:\n-\ta simple equation model with one independent variable\n-\tpoint two-dimensional graph; correlation and linear regression equation (line)\n-\tproperties of simple linear regression, principle of least squares method\n-\thypothesis tests and straight line parameter estimation, determination coefficient\n-\tresidues and simple residual analysis\n-\tmodels of nonlinear relations - curves convertible to linearity\n-\texplanation and prediction by regression equation\n-\tmultiple linear regression model - extension to multiple independent variables\n-\tthe meaning of the equation results and parameters\n-\ttesting parameters and testing the significance of the relationship\n-\tsequential procedures for determining predictors\n\n",null,"nie","nie",1.9,2,2,"Pokročilým","Pre absolvovanie kurzu je nutná znalosť korelačnej analýzy príp. absolvovanie kurzu Korelační analýza. Kurz splnil očakávania a rozšíril znalosti aj mimo pracovej náplne hodnotiteľov. "]
["AC102","ACREA CR","Regresní analýza II","Praha, Česko",1,1,"2019-02-27","2019-02-27","240 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","This course deals with verification of correctness and suitability of linear regression model. It extends the model possibilities for refining the description of relationships and offers a diagnostic-predictive apparatus. It deals with categorized predictors and analysis of their influence on dependent variable, nonlinear and interaction members in the equation. Methods of model evaluation by means of residues and characteristics of influence of individual observations. Predictive role of regression equations and valuation of their prediction force so that the resulting equations correspond to the data reality.",null,"nie","nie",1.9,2,2,"Pokročilým","Kurz by si zaslúžil väčší časový prídel. Pre využitie kurzu je ideálne ak zamestnanec pracuje pravidelne s SPSS a so štatistickými modelmi."]
["AC103","ACREA CR","Základy statistiky pro analýzu dat","Praha, Česko",3,3,"2019-03-04","2019-03-06","576 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/","The aim of the course is to introduce the participants to the basics of statistical work and data analysis, to acquaint them with the concepts, methods and means for:\n• file description\n• comparing groups\n• association and correlation analysis.\nTopics are evenly distributed between analysis of numerical data and frequency (percent). Students will also learn how to work with professional statistical software IBM SPSS Statistics.",null,"nie","nie",1.9,2,1,"Začiatočníkom","Kurz bol vyvážený z hľadiska teórie a praxe , poskytol rozšírenie vedomostí aj mimo pracovnej náplne. Pedagógovia boli dobrí aj ako odborníci aj ako učitelia."]
["AC205","ACREA CR","Seskupovací (klastrová) analýza","Praha, Česko",1,1,"2019-04-02","2019-04-02","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/seskupovaci-analyza/","The aim of the course is to acquaint students with the principles of basic grouping methods (hierarchical grouping, K means and two-stage grouping) and to show the possibilities of their use. Emphasis is placed on practical application of methods, on understanding and interpreting results and selecting the appropriate method for the problem. The mathematical aspects of the model and algorithms are included only to explain the meaning and principles of clustering.\n\nParticipants will learn to understand the principle of grouping and learn to apply the most commonly used clustering methods.",null,"nie","nie",1.9,1,2,"Pokročilým","Teoretické vedomosti boli vhodne vyvážené praktickými cvičeniami. Príklady sa zameriavali na komerčnú prax - telefónne spoločnosti, poisťovne, životnú úroveň, atď. využívaný bol SW IBM, čo účastníci považovali za nevýhodu kurzu (nepoužívajú ho na pracovisku)."]
["AC202","ACREA CR","IRT modely - Teorie a aplikace","Praha, Česko",1,1,"2019-05-21","2019-05-21","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/irt-modely/","Learning outcomes of the course is to acquaint the participants with the basic theoretical background of IRT models, to show the advantages against the classical theory of testing and in the practical part to teach them to use the basic 1-, 2- and 3-parametric model, which means to apply the model, evaluate it including evaluation of individual items how to determine the level of knowledge or attitudes for an individual respondent and how to interpret it meaningfully. Attention will be paid to more complicated IRT models. An integral part of the course will be an example of linking IBM SPSS Statistics and R.",null,"nie","nie",1.9,"","","",""]
["AC201","ACREA CR","Analýza rozptylu - přístupy k odhalování příčin a vlivů","Praha, Česko",2,2,"2019-05-27","2019-05-28","430 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/","The courset intoduces participants to the basic principles of method Analysis of variance (analysis of variance, ANOVA). The course is focused mainly on the analysis of variance of single and double classification, testing of more detailed hypotheses on the averages in groups using contrasts and post hoc tests and on the analysis of covariance.",null,"nie","nie",1.9,"","","",""]
["AC203","ACREA CR","Logistická regrese","Praha, Česko",1,1,"2019-06-03","2019-06-03","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","The aim of the course is to acquaint participants with the logistic regression method, its advantages and disadvantages. Emphasis is placed on the interpretation of the model itself and its outputs.\n\nParticipants will learn to prepare data, build a regression model of a categorical variable, and interpret its outputs.",null,"nie","nie",1.9,"","","",""]
["AC204","ACREA CR","Plánovaní výzkumu: Reprezentativa","Praha, Česko",2,2,"2019-06-10","2019-06-11","430 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/planovani-vyzkumu-reprezentativita/","The course will provide students theoretically and practically with the basic phases of planning and implementation of sample surveys. Participants will learn to work with different types of selections and identify situations where it is appropriate to use these methods. They will learn how to ensure representativeness of selection. They will get acquainted with the principle and design of design and poststratification scales and they will learn to evaluate the research, obtain the necessary estimates and correctly express their accuracy based on the design of the selection. Participants will work with professional statistical software IBM SPSS Statistics.",null,"nie","nie",1.9,2.5,2,"Pokročilým","Na účely kurzu je potrebné ovládať štatistiku, je úzko zameraný. Praktická časť v SPSS ale väčšina princípov je aplikovateľná aj v iných SW. Účastníci ocenili aj jednoduchú interakciu s prednášajúcimi."]
["AE017","AdeptEvents","A Business-oriented Approach to Data Modelling","Utrecht, Holandsko",2,2,"2019-06-03","2019-06-04","1 450 EUR",null,"https://adeptevents.nl/event/data-modelling-a-business-oriented-approach-to-entity-relationship-modelling?lang=en","This workshop introduces entity-relationship modelling from a non-technical perspective, thoroughly covering the basic components of a data model – entities, relationships, attributes, and identifiers.  In addition to showing how and when to use these components in developing a data model, it includes far more advice on the process of developing a data model than other courses, including specific methods for getting subject matter experts involved and maintaining their commitment. The content is presented within the context of a clearly-defined, three-phase data modelling methodology that supports progressive detail and precision.","The Early Bird rate of € 1.305,00 expires after 4 May 2019.","nie","nie",1.07,1.5,2,"Začiatočníkom","Výhodou kurzu je prax prevažujúca nad teóriou a pedagógovia-odborníci. "]
["AE018","AdeptEvents","Working with Bussiness Processes","Utrecht, Holandsko",2,2,"2019-06-05","2019-06-06","1 450 EUR",null,"http://adeptevents.nl/event/working-with-business-processes?lang=en","Proces Change in Agile Timeframes. - Participants will first learn exactly what a “business process” is, the key factors to consider when dealing with them, and the most common pitfalls and how to avoid them. On this foundation, the course moves on to specifying the scope and goals of a business process, modelling the current workflow, assessing it, and applying three critical process redesign techniques.\nCourse Topics:\n\n• Thinking in process terms – concepts, terminology, principles, and techniques\n• A three-phase approach to completing a process-oriented project\n• Framing the process – discovering a business process, and clarifying its purpose and scope\n• Initial assessment of the “as-is” process and goal-setting for the “to-be” process\n• Modelling process workflow – practical tips and techniques for using swimlane diagrams\n• Controlling detail – three levels of workflow model\n• When to stop modelling\n• Applying workflow modelling to the as-is process – facilitating a workflow session\n• Final assessment of the as-is process – a framework for assessment, relation to redesign\n• Characterising the to-be process – generating creative improvements and assessing them\n• Wrap-up – summary, tips, and resources\n","The Early Bird rate of € 1.305,00 expires after 4 May 2019.","nie","nie",1.07,1,3,"Začiatočníkom","Nedostatkom kurzu bol nedostatočný priestor na tréning teoretických znalostí v praxi. Pedagógovia boli odborníci."]
["AE019","AdeptEvents","Advanced data modelling","Utrecht, Holandsko",2,2,"2019-11-27","2019-11-28","1 450 EUR",null,"https://adeptevents.nl/event/advanced-data-modelling?lang=en","Three main themes will be explored:\n\nThe technical side of data modelling – getting better at modelling difficult, complex situations\nDeveloping and using data models in new ways, and in conjunction with other techniques\nThe human side of data modelling – improving processes and communication skills\nTopics will be covered with a discussion of the issue, a review of techniques, guidelines and examples, a brief workshop exercise, and a group solution and debriefing. The emphasis is on maximizing the delivery of content while keeping everyone engaged – the workshop has recently been extensively redesigned to focus on the topics that data modelling professionals have continually rated as the most concrete and useful.","The Early Bird rate of € 1.305,00 expires after 4 May 2019.","nie","nie",1.07,1,2,"Pokročilým","Kurz predovšetkým pre dátových analytikov, výborný podiel teórie a praktických cvičení."]
["AE020","AdeptEvents","Machine learning & advanced analytics","Utrecht, Holandsko",2,2,"2019-12-10","2019-12-11","1 450 EUR",null,"https://adeptevents.nl/event/predictive-advanced-analytics?lang=en#general","This new 2-day seminar looks at the need to capture new data sources to add to what we already know and use machine learning to automatically discover, profile and catalog what is in these data sources. It then looks at how machine learning and advanced analytical techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage.","The Early Bird rate of € 1.305,00 expires after 4 May 2019.","nie","nie",1.07,"","","",""]
["AM001","Aix-Marseille University","AMSE Summer School on Search and Matching","Marseille, Francúzsko",3,3,"2019-07-02","2019-07-04","930 EUR","2019-06-03","https://sumschoolamse.sciencesconf.org/","Various forms of imperfections or “frictions” characterise most real-world transactions. In labour markets, frictions can explain unemployment and wage inequalities. In real estate, complexities in the matching of buyers and sellers can have important effects on housing prices. These are some of the key applications of search and matching models in economics. During the three days of the Summer School, students will get rigorous and in-depth exposure to the most recent theories and empirical methods in the field. ","Early bird (15th April) - 800 EUR","áno","nie","","","","",""]
["BA125","Barcelona Graduate School of Economics","Data Science Winter School","Barcelona, Španielsko",0,2,"2019-01-12","2019-01-13","1 750 EUR","2018-12-28","https://www.barcelonagse.eu/sites/default/files/brochure-data-science-winter-school.pdf","This intensive winter course will provide a quick, condensed and hands-on\nintroduction to programming and data analysis with\nPython, fundamental methods in modern Statistics\nand Machine Learning and the tools in Python for\nimplementing them.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie ","nie ",1.99,2,1,"Pokročilým","Teoreticky orientovaný kurz určený pre analytikov - modelárov. "]
["BA109","Barcelona Graduate School of Economics","Banking Theory (Banking Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 200 EUR",null,"https://www.barcelonagse.eu/study/summer-school/banking","The objectives of this summer course are to understand the role of financial institutions in the economy, how imperfect information affects banks’ incentives and roots of banking crises. \nCourse is focused on topics: \n- Why do financial intermediaries exist?\n- Fragility: liquidity and solvency\n- Distorted incentives: overhang and risk-shifting in banking\n- Financial intermediation in macroeconomic models\n- Banking regulation","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA111","Barcelona Graduate School of Economics","Empirical Tools/Applications in Banking and Macro-Fincance (Banking Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 200 EUR",null,"https://www.barcelonagse.eu/study/summer-school/banking","The objective of this summer course is to present empirical applications of relevant questions for both banking theory and policy, mainly related to Systemic Risk, Crises, Macroprudential and Monetary Policy. An important objective is to read and understand scientific papers in empirical banking; to accomplish this objective, emphasis is placed on illustrating research methodologies used in empirical banking and learning the application of these methodologies to selected topics such as: \n\n- Credit cycles\n- Securities and credit registers; large datasets\n- Fire sales, market and funding liquidity\n- Bank capital and macroprudential regulation\n- Risk-taking and credit channels of monetary policy\n- Real effects of financial shocks\n- Moral hazard vs. behavioral based risk-taking\n- Secular stagnation, banking and debt crises\n- Interbank contagion, bank runs and systemic risk\n- Banking globalization\n- Capital controls and capital flows to emerging markets\n- Macro vs. micro prudential policy","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA114","Barcelona Graduate School of Economics","An Introduction to the New Keynesian Framework and its Monetary Policy Applications (CREI Macroeconomics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","The course will provide an introduction to the New Keynesian model and its implications for monetary policy. The list of topics covered is:\n1. The Basic New Keynesian Model\na. The Dynamic IS equation\nb. The New Keynesian Phillips Curve\nc. Dynamic Effects of Shocks\n\n2. Monetary Policy Design in the Basic New Keynesian Model\na. The Case of an Efficient Natural Equilibrium\nb. The Case of an Inefficient Natural Equilibrium\n\n3. Extensions and Implications\na. Nominal Wage Rigidities\nb. Unemployment","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA118","Barcelona Graduate School of Economics","Numerical Methods for Fiscal and Monetary Policy Analysis (CREI Macroeconomics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","This course will cover state-of-the-art techniques to solve and simulate modern macroeconomic models, with specific applications to models used for fiscal and monetary policy analysis. Course will cover topics of Introduction to local and global solution methods; \nSolution methods for modern monetary policy models, with zero-lower bound, financial constraints, heterogeneous agents, bubbles, etc.;\nSolution of optimal fiscal and monetary policy problems, with and without commitment ; and Solution of sovereign debt and default models.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA119","Barcelona Graduate School of Economics","Numerical Methods: Computer Lab Practicals (CREI Macroeconomics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","500 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","This 5 hour practical course will demonstrate advantages and disadvantages in terms of accuracy and efficiencythrough specific examples of state-of-the-art monetary and fiscal policy models (e.g. models with zero-lower bound constraint, financial frictions, forward-guidance, etc.). Course includes the computer lab practicals. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA121","Barcelona Graduate School of Economics","Spatial Equilibrium and the Economics of Cities (CREI Macroeconomics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","This course deals with spatial equilibrium in a city: transportation, residential location and the monocentric city model.Other topics that course includes are spatial equilibrium in a system of cities: hedonics and the measurement of amenities and productivity; \nAgglomeration economies: pooling, matching and knowledge spillovers; \nCities and public policy: local public goods and sorting, place-based policies.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA124","Barcelona Graduate School of Economics","Foundations of Data Science (Data Science Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","2 200 EUR",null,"https://www.barcelonagse.eu/study/summer-school/data-science","he course provides training in information retrieval, data analysis and machine learning with Python and R and evolves along the thematic following units:\n\nProgramming with Python\nKeywords: data types, functions, objects\nData analysis with Python\nKeywords: pandas, database management, seaborn\nScraping data\nKeywords: scraping, API's, cloud storage\nSupervised learning\nKeywords: sklearn, linear models, cross validation, regularisation, lasso, trees, ensembles, boosting\nUnsupervised learning\nKeywords: clustering, factors, independent component analysis and matrix factorization\nCrash course in R\nKeywords: packages, statistical analysis in R, data visualization","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA126","Barcelona Graduate School of Economics","Economics of Education (Labor Economics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 050 EUR",null,"https://www.barcelonagse.eu/study/summer-school/labor-economics","Four lectures explore both the demand for education and the supply of education. The supply lecture will cover most of the important policy debates in modern economies concerning the K-12 education policy. \nLectures deal with topics: \n1. Human Capital Models:\nmodels of the demand for education that treat education as a vehicle for building human capacity.  \n\n2. Empirical Impacts of Education: \nThe literature on the causal impact of education on life outcomes. \n\n3. Human Capital Spillovers: \nThe theoretical and empirical literature on human capital spillovers. \n\n4. Mechanism Design and the Public Funding of Education: \nDiscussion about three different paradigms for using public funds to acquire education services for children. \nPublic Provision within Government Accountability Systems.\nVoucher Systems.\nBlended Systems. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA127","Barcelona Graduate School of Economics","Economics of Migration (Labor Economics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 050 EUR",null,"https://www.barcelonagse.eu/study/summer-school/labor-economics","The main objective of this course is to explore the different answers provided in the literature to topics of economics of migration. Course is divided into two main parts:\n\nPart I covers the topic of Migration Decisions (International migration decisions; Migration Decisions;  Immigration Selection: The Roy Model; Empirical Evidence) and Structural estimation of models of internal migration.\n\nPart II covers the topic of Economic consequences of immigration \n(Wage effects of immigration; \nEffects on local labor markets; \nNational level approaches;\nAssimilation of immigrants).","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA128","Barcelona Graduate School of Economics","Gender Economics (Labor Economics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 050 EUR",null,"https://www.barcelonagse.eu/study/summer-school/labor-economics","This course will provide an overview of a recent literature in economics that documents gender gaps in a range of domains, tries to uncover the factors that drive them, and evaluates the effectiveness of different policies in mitigating them. Course deals with topics of \nGender gaps in wages and employment; \nGender and education; \nRisk aversion, competitiveness, and other traits; \nFamily (contraception, fertility, abortion, marriage and divorce, household specialization) and\nGender and public policy.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA129","Barcelona Graduate School of Economics","Bayesian Methods for DSGE Models (Macroeconometrics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The objective of the course is to teach student how to use state of the art Bayesian methods to estimate and analyze modern macroeconomic models. The course will cover the most popular methods to construct posterior estimates of structural model parameters and probability intervals for arbitrary model outputs (such as impulse response functions and variance decompositions). Special attention will be given to recent advances in empirically analyzing the role of news, noise and imperfect information in business cycle models. The course aim to give students a good understanding of both advantages and limitations of the current generation of DSGE models.\n","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA131","Barcelona Graduate School of Economics","Modeling Non-stationary and Non-linear Time Series (Macroeconometrics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The goal of this course is to introduce some popular non-stationary and non-linear time series models that have been found to be effective at modeling macroeconomic and financial time series data.\nCourse includes topics:\nLinear models for nonstationary data. Integration and fractional integration. Univariate and panel unit root tests, non-stationary dynamic factor models.\nCointegration and Fractional cointegration.\nMeasuring persistence. Impulse response functions and related methods. Aggregation and persistence.\nNon-linear methods. Markov Switching and Threshold models.\nUnivariate and multivariate analysis\nDynamic non linear factor models\nReal time assessment of recession probabilities","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,2,1,"Pokročilým","Prax a teória boli vhodne vyvvážené, kurz je určený pre modelárov."]
["BA137","Barcelona Graduate School of Economics","Econometrics of Cross-section Data with Applications (Microeconometrics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","In this course participants deal with estimation of models using of survey data which is becoming a common practice among economists and social scientists both at academic and professional level., paying special attention to the interpretation of the estimates and the limitations of the different models in the literature.\n\nThe course is organized in three blocks which deal with topics: \ndiscrete choice models, including count data models ; limited-dependent variable models, including sample selection issues typical when dealing with cross-section data; models in which the dependent variable is the length of a spell in a particular status (e.g. unemployment) and we are interested in estimating how the duration in a particular status affects the probability of leaving that status.\n\nPractical sessions will be devoted to how to estimate these models using STATA. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,4,2,"Pokročilým","V cene kurzu bola aj licencia na Stata. Nevýhodou bola prevažujúca teória a nedostatočná možnosť natrénovať si vedomosti aj prakticky. Hodnotenie vyučujúcich ako pedagógov bolo nedostatočné. Kurz bol zameraný na ekonometrické modelovanie s mikro dátami. Hlavnou témou kurzu bolo, ako v rôznych situáciách odhadnúť pravdepodobnosť nastania udalosti (napr. straty zamestnania) na úrovni individuálnych charakteristík jednotlivcov. Stata bola softvérovým nástrojom. Získané cvičné kódy uľahčia prácu na podobných projektoch."]
["BA138","Barcelona Graduate School of Economics","Panel Data Linear Analysis (Microeconometrics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course considers methodological and substantive issues concerning the analysis of panel data. It starts by reviewing basic panel data models emphasizing the benefits and limitations of panel data over time series or cross-section data. Basic estimation and testing methods for random and fixed effects models are reviewed and illustrated using empirical applications using Stata and EViews. Next, problems of endogeneity in panel models are studied and panel instrumental variable estimation methods as well as Hausman type tests are reviewed and applied using an empirical application. The course also covers an introduction to dynamic panel data models. Finally, for large macro panels with a large number of countries observed over a long time series, we study issues of non-stationarity.\n","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA140","Barcelona Graduate School of Economics","The Impacts of Policies on Health Outcomes (Microeconometrics Summer School)","Barcelona, Španielsko",4,5,"2019-07-01","2019-07-05","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course provides an applied view of policy evaluation methods specifically targeted to a health economics audience. It will focus on the main methods traditionally used to analyze the impact of several policy interventions on health outcomes such as mortality, self-assessed health, incidence of diseases, infant health outcomes, etc. The focus of the course is on the practical application of these models so that we will revise and replicate some of the papers in the literature using these methods. \nPractical sessions provide the audience with a guide about how to estimate these models in STATA. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA108","Barcelona Graduate School of Economics","Bank Regulation (Banking Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 200 EUR",null,"https://www.barcelonagse.eu/study/summer-school/banking","Summer course will present a theoretical and empirical work on the rationale for regulation of banks and its actual functioning. Attendants will discuss the different elements of financial safety and new insights into their functioning since the crisis. Course is also focused on new developments, including the increasing trend towards cross-border cooperation of regulators and supervisors, recognizing the global spill-over effects of national decisions, and the novel role of macroprudential policy in context of risk externalities and credit cycles.\nThe course targets researchers, aspiring and experienced policymakers and practitioners focused on regulatory and prudential aspects.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA110","Barcelona Graduate School of Economics","Empirical Banking - Methodological Aspects (Banking Summer School)","Barcelona, Španielsko",{"$f":"NETWORKDAYS(G35,H35,sviatky)","v":5},{"$f":"_xlfn.DAYS(H35,G35)+1","v":5},"2019-07-08","2019-07-12","1 200 EUR",null,"https://www.barcelonagse.eu/study/summer-school/banking","The objective of this course is to read and understand scientific papers in empirical banking. To accomplish this objective, emphasis is placed on illustrating basic research methodologies used in empirical banking and learning the application of these methodologies to selected topics. The research methods that are specifically discussed in the class are cross-sectional research methods and the inter-temporal event study methodology. The topics that are covered include (but are not limited to) applications of Discrete Choice, Multinomial Logit, Duration, Simultaneous Equations and Event Study Methodology, and as an area of particular interest the Geography of Banking. Opportunities are offered during the course to explore selected theoretical models upon which empirical applications are based.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA112","Barcelona Graduate School of Economics","Advanced Topics in Digital Economy","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 100 EUR",null,"https://www.barcelonagse.eu/study/summer-school/competition-economics","This summer course is focused on selected topics:\n- Understanding platform competition: theory and cases \n- Vertical agreements in online markets\n- Recent cases of abuse of dominance in digital markets\n- Challenges for competition policy, I: big data\n- Challenges for competition policy, II: sharing economy","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA113","Barcelona Graduate School of Economics","Economics of Crypto-currencies and Blockchain (Competition Economics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 100 EUR",null,"https://www.barcelonagse.eu/study/summer-school/competition-economics","Course will be dealing with topics of the Bitcoin design: general overview and game theoretic analysis, \nEmpirical analysis of Bitcoin ( alternative cryptocurrencies), \nSmart contracts, ICOs/tokens, \nThe economics of cryptocurrencies ( competition, monetary policy), \nBlockchain beyond cryptocurrencies.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA115","Barcelona Graduate School of Economics","Finance, Firm Dynamics and Aggregate Outcomes (CREI Macroeconomics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","The course will cover recent research exploring the relation between firm-level frictions, reallocation of resources, and their aggregate implications. Selected topics that course will cover are:\n- Stylised facts on firm dynamics;\n- Dispersion in productivity and misallocation of resources: measurement, theory, and aggregate implications.\n- Financial frictions and firm dynamics.\n- Innovation, reallocation, and growth\n- Financial factors, and the misallocation of skilled labour and intangible capital.\n- Finance, firm dynamics and the business cycle: empirical evidence and theory.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA116","Barcelona Graduate School of Economics","Innovation and Growth in the Global Economy (CREI Macroeconomics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","This course will focus on how technology is created by firms, it diffuses across countries and responds to market opportunities. Special attention will be devoted to two major phenomena: automation and the rise of China. Each topic will be studied combining theoretical models with macro and micro data.\nCourse cover the topics: \nThe economics of ideas: innovation, creative destruction and firm dynamics\nBiased innovation, technology diffusion and inequality\nExplaining economic performance: productivity, misallocation and superstar firms\nAutomation: effects on employment, wages and the labor share\nOffshoring and the rise of China: effects on employment, wages and innovation","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA122","Barcelona Graduate School of Economics","Bayesian Machine Learning in Social Sciences (Data Science Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","2 200 EUR",null,"https://www.barcelonagse.eu/study/summer-school/data-science","This summer school develops methods from modern Statistics and Machine Learning that are essential to modern Social Sciences and its priorities. The school provides a concise treatment of variable selection, treatment-effect estimation in presence of vast number of controls and what is more generally known as post-selection inference, graphical modelling, Bayesian networks and estimation of graphs from data, causal inference, latent variable and topic models for high-dimensional categorical data, e.g. text or choice data, and elements of Bayesian computation. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA130","Barcelona Graduate School of Economics","Bayesian Time Series Methods: Advanced (Macroeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","This is a course in introductory Bayesian econometrics with a focus on models used in empirical macroeconomics. It includes a brief introduction to Bayesian econometrics, describing the main concepts underlying Bayesian theory and seeing how Bayesian methods work in the familiar context of the re- gression model. \nThe second part of the course covers Bayesian model averaging (BMA), stochastic search variable selection (SSVS) and the least absolute shrinkage and selection operator (LASSO). \n\nThe models and methods covered in this course are of direct use in many macroeconomic applications. But they also represent the groundwork that underlies popular multivariate macroeconomic models such as Vector Autoregres- sions (VARs), time-varying parameter VARs (TVP-VARs), factor and Dynamic Stochastic General Equilibirum (DSGE) models. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA132","Barcelona Graduate School of Economics","Time Series Methods for Macroeconomic Analysis: Part 1 (Macroeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular, course will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. It also present several extension like Smooth transition VARs, Threshold VAR, Time-Varying Coefficients VAR and FAVARs. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA134","Barcelona Graduate School of Economics","Time-Series Methods for Financial Time Series (Macroeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The course provides an introduction to the state-of-the-art techniques for the analysis of ﬁnancial time series. The ﬁrst part of the course introduces univariate time series models used for the analysis of time-varying volatility (GARCH models) as well as multivariate timeseries models for the analysis of time-varying correlations (DCC models). The second part of the course presents empirical applications of GARCH-DCC models. These measures will then be employed to study the US ﬁnancial system in the 2007–2009 ﬁnancial crisis. ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA135","Barcelona Graduate School of Economics","Dynamic and Non-linear Panel Data Models (Microeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course provides up-to-date coverage of dynamic panel data models, discrete choice panel data models as well as censored panel data models and the estimation of dynamic panel data models subject to selection. Apart from a review of relevant theory, the focus of the course is on the practical application of these models to various data contexts: small T – large N, unbalanced panels, rotating panels and pseudo panels constructed from cohort data. Course includes practical session resolved with STATA.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA136","Barcelona Graduate School of Economics","Dynamic Structural Models for Policy Evaluation (Microeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course deals with methods and applications of dynamic discrete choice structural models in Economics. The methods that will be discussed are often used by researchers with interests in Labor Economics, Industrial Organization, Quantitative Macro, Development Economics and many other fields in Applied Micro. The course focuses on the estimation of dynamic discrete choice structural models that allow for modelling the behavior of forward looking agents making discrete decisions. These models constitute a useful tool for policy evaluation and an interesting complement to reduced form approaches. In particular, they have the advantage of allowing for ex-ante policy evaluation, and of providing external validity for the inference, subject to the model assumptions. \nPractical sessions will be devoted to the numerical solution and estimation of these models using STATA (MATA). ","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA139","Barcelona Graduate School of Economics","Quantitative Methods for Public Policy Evaluation (Microeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 250 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","The objective of this course is to introduce the main approaches used in the evaluation of public policies: randomized evaluations, natural experiments, the regression discontinuity design, selection on observables and difference-in- differences. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the sessions, each approach will be presented and illustrated with specific policies in the areas of labor, health, and education. \n","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,2.4,5,"Pokročilým","Kurz bol orientovaný na teoretické poznatky, ich uplatnenie v praxi bolo zrýchlené. Účastníkom boli poskytnuté materiály a kontakty, ktoré umožnia aplikovanie poznatkov do praxe aj po skončení kurzu. "]
["BA141","Barcelona Graduate School of Economics","Contracts and Networks in Poor Countries: Data, Tools and Theory","Barcelona, Španielsko",5,5,"2019-07-08","2019-07-12","1 050 EUR",null,"https://www.barcelonagse.eu/study/summer-school/development-economics","This course focuses on the main areas of development where contract theory and networks have been shown to matter most. The course emphasizes practical methods for the analysis of contracts and network data and the estimation of these theories, and the derivation of precise policy prescriptions.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA117","Barcelona Graduate School of Economics","Macro-prudential Policy in Theory and Practice (CREI Macroeconomics Summer School)","Barcelona, Španielsko",5,5,"2019-07-15","2019-07-19","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","This course provides an overview of the key conceptual and practical questions regarding macro-prudential policy. Firstly, it reviews the theoretical foundations for macro-prudential policy, and develop a macroeconomic workhorse model to think about its costs and benefits. Then, empirical evidence, analyzing both the types of macro-prudential measures used in practice and their effectiveness. Course use workhorse model to shed light on three key debates regarding macro-prudential policy: \n- What are the trade-offs between the ex ante adoption of prudential policies and ex post interventions during crises;\n- Should macro-prudential and monetary policies be conducted in a coordinated fashion\n- How should macro-prudential policy react to asset bubbles","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA120","Barcelona Graduate School of Economics","Sovereign Debt Crises: Theory, Evidence, and Policy (CREI Macroeconomics Summer School)","Barcelona, Španielsko",5,5,"2019-07-15","2019-07-19","1 150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics#fees","This course provides an overview of sovereign debt crises from theoretical, empirical and policy points of view. It covers both traditional and new theories that emphasize the interplay between international and domestic financial markets, and the relevant empirical evidence. It discusses the distinction between liquidity and solvency crises and the appropriate policy responses and includes an analysis of the European crisis.\nSelected Topics of course are:\n- What are the costs of sovereign default\n- Reputation and sanctions\n- Market structure and defaults: - \n- Secondary markets and collateral damage\n- Rollover crises: Lender of last resort and moral hazard\n- Solvency crises: Debt overhang, buybacks and restructuring","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,1.6,3,"Pokročilým","Kurz je orientovaný najmä teoreticky. Klasická prednáška s jednoduchým matematickým modelovaním, účastníci využívajú znalosti pri tvorbe fiškálneho bloku v GAP modeli."]
["BA123","Barcelona Graduate School of Economics","Deep Learning and Applications (Data Science Summer School)","Barcelona, Španielsko",5,5,"2019-07-15","2019-07-19","2 000 EUR",null,"https://www.barcelonagse.eu/study/summer-school/data-science","This course will introduce several aspects of modern machine learning, deep learning and it’s applications:\n- An overall introduction to Deep Learning covering convolutional networks, recurrent neural networks, autoencoders and multilayer deep networks. The course includes a 2-hour tutorial on how to code these types of networks using the popular ‘keras’ library for python.\n- Deep Learning for Recommender systems where we deal with the application of advanced Machine Learning and Deep Learning methods in recommender systems. Here, the course address Tensor Factorization, Factorization Machines, 2vec type embeddings, Deep Collaborative Filtering techniques such as Autoencoders for Collaborative Filtering, RNN’s for session-based recommendations and convolutional networks for feature extraction. \n- Natural Language Processing with Deep Learning, this module will focus on several aspects of modern NLP such as language modeling, word and document embeddings, conversational models and visualization and the use of Deep Learning models to perform these tasks also including a hands-on session where several of these tasks are coded with keras.","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BA133","Barcelona Graduate School of Economics","Time Series Methods for Macroeconomic Analysis: Part 2 (Macroeconometrics Summer School)","Barcelona, Španielsko",5,5,"2019-07-15","2019-07-19","2 125 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The starting point of the course is to discuss potential pitfalls arising in VAR models. More specifically, the issue of non-fundamentalness and non-invertibility, a problem that arises because of the typical gap between the information set of the econometrician and that of the agents. In particular it will present and discuss models for large-N, including Factor models and FAVARs. In this context, course will review several applications, among others the news-driven business cycles debate and the fiscal foresight literature.\n\nNext, participants will study the implications of relaxing the assumption of perfect shocks observability for structural analysis with empirical models. They will see how to perform macroeconomic and policy analysis under the assumption that economic agents only observe a noisy signal of the structural shocks by means of dynamic identification. \n","Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie","nie",1.99,"","","",""]
["BU141","Budapest School for Central Bank Studies","Time series methods for the study of the transmission of monetary and fiscal policies","Budapešť, Maďarsko",5,5,"2019-04-01","2019-04-05","1 400 EUR","2019-03-10","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","This course cover topics:\nSVARs, local projections and IV approach to measure causal effects;\nBayesian SVARs; \nFactor models and FAVARs; \nMeasurement of gap and potentials;\nForecasting. Unconditional and conditional projections. Scenario analysis.",null,"nie","nie","","","","",""]
["BU142","Budapest School for Central Bank Studies","Sticky price models for monetary economics: tools, scopes and limits","Budapešť, Maďarsko",5,5,"2019-04-08","2019-04-12","1 400 EUR","2019-03-10","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","This course cover topics:\n\nTools for the  analysis  of nonlinear  models;\nApplications to price setting with menu cost (Partial  and  General  equilibrium settings);\nSufficient statistics for monetary policy: a simple tool to analyze the aggregate stickiness of an economy in a large class of economies\nApplications. Price setting with observation cost.",null,"nie","nie","","","","",""]
["BU143","Budapest School for Central Bank Studies","Hands-On Heterogeneous Agent Macroeconomics","Budapešť, Maďarsko",5,5,"2019-07-22","2019-07-26","1 400 EUR","2019-06-30","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","This course cover topics:\n\nBuilding 'Serious' Microfoundations;\nIntroduction to the [Econ-ARK/HARK](http://econ-ark.org) toolkit;\nAggregation and Steady States;\nBusiness Cycle Dynamics;\nFuture Directions for Heterogeneous Agent Macro Research",null,"nie","nie","","","","",""]
["BU144","Budapest School for Central Bank Studies","Advances in structural vector autoregressions (SVAR) and dynamic stochastic general equilibrium models (DSGE) ","Budapešť, Maďarsko",5,5,"2019-07-29","2019-08-02","1 400 EUR","2019-06-30","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","This course cover topics:\n\nNew identification schemes for VAR models;\n Simulation techniques for Bayesian SVAR;\n Time-varying SVAR models;\n Solving DSGE models with perturbation;\n Time-varying DSGE models",null,"nie","nie","","","","",""]
["CE146","Center of Excellence in Finance","Revenue Forecasting","Ľubľana, Slovinsko",3,3,"2019-01-29","2019-01-31","0 EUR","2018-12-12","https://www.cef-see.org/2019-rf","The workshop helped participants better understand the:\nrevenue forecasting process (incl. coverage and time-horizon, agencies involved, rules governing the process)\ndata requirements and various approaches used to forecast the revenues from different types of taxes and to assess the impact of policy changes\ndifferent perspectives of institutions involved in revenue forecasting and tax policy analysis\nimportance of timely and effective coordination for developing uniform views on the macroeconomic outlook triggering the revenue forecast, and assessing the revenue foregone through tax expenditures\nnature and source of underlying macroeconomic assumptions, and scope for discretionary adjustments of forecasts",null,"nie ","nie","","","","",""]
["CE148","Center of Excellence in Finance","How Good Data Improves the Quality of Fiscal Policies and Documents","Ľubľana, Slovinsko",3,3,"2019-02-11","2019-02-13","0 EUR",null,"https://www.cef-see.org/2019-data-erp","The workshop will address the importance of reliable fiscal statistics and fiscal reporting and their influence on policy choices and policy assessments. It will give the insight into the link between high quality data and accounting as a feed to the costing and benchmarking process and address the significance of consistency and comparability of fiscal reports.\nWorkshop will outline the influence of data used for fiscal reporting, costing and prioritization of policies on the achievement of countries’ overall fiscal objectives and will underline necessary capacity to formulate fiscal policy and monitor fiscal developments.\nstrengthening analytical capacities of institutions needed to improve fiscal policy-making and costing of structural reforms through better understanding of allocated data. PArticipants will discuss Government Finance Statistics (GFS) and Fiscal Code of Transparency, influence of accounting on costing and estimation of macroeconomic data depending on the methodology that is used.",null,"nie ","nie","","","","",""]
["CE147","Center of Excellence in Finance","Managing Financing and Costing of Health Care","Ľubľana, Slovinsko",3,3,"2019-02-18","2019-02-20","0 EUR","2018-01-18","https://www.cef-see.org/2019-finance-health","The workshop will address possible approaches to improving health care financing and reducing sector specific fiscal risks. It will give an overview of the most common factors causing large inefficiencies in health spending and address how reduction of both allocative and productive inefficiencies enables to achieve the same health outcomes with less spending.\nThis workshop will outline the implications of health care reforms to achievement of countries’ overall fiscal objectives and assess possible tools for improving effectiveness and efficiency of this spending.proving health care financing and reducing sector specific fiscal risks through better coordination of allocated financial resources. Emphasis will be on the design of strategic purchases, structures for monitoring and evaluation of health care outcomes, and how performance information could be used in budgetary allocation decision-making.",null,"nie ","nie","","","","",""]
["CE149","Center of Excellence in Finance","Financial Statements: Increasing Transparency and Accountability","Ľubľana, Slovinsko",3,3,"2019-03-11","2019-03-13","0 EUR",null,"https://www.cef-see.org/2019-financial-statements","The learning initiative provide an overall context of financial reporting, examined the connection between reliable financial reporting and move to accrual accounting, discusse the links between financial reporting and fiscal statistics, considere better coverage of reporting entities, stocks, flows, and the role of external audit and the practical challenges of addressing issues of broadening the scope and usefulness of financial statements. \nWorkshop encompassed practical exercises and group discussions and we heard a country best practice in preparing quality financial statements in accrual accounting system. \nDuring workshop participants are addressed about:\n- how financial reporting is linked to accrual accounting and IPSAS key standards\n- how financial statements contribute to decision-making\n- how and to what extent fiscal risks are reported/contained in general purpose financial statements compliant to IPSAS\n- how financial reporting is linked to fiscal statistics (GFS)\n- how financial statements are prepared in different countries, what are challenges, opportunities and successful stories\n- what are good practices in preparing financial statements",null,"nie ","nie","","","","",""]
["CE150","Center of Excellence in Finance","Transfer Pricing","Ľubľana, Slovinsko",3,3,"2019-03-12","2019-03-14","0 EUR","2019-02-18","https://www.cef-see.org/2019-transfer-pricing","The workshop is part of the Tax Policy and Administration Learning Program, whose overall objective is to contribute to strengthening of beneficiary institutions’ capacity in implementing the EU recommendations under which the revenue authorities can enhance tax compliance risk management.\nCourse is focused on:\nCorporate taxpayers experience challenges if they are simultaneously subject to two or more tax systems, resulting in higher compliance costs  and an increased exposure to tax risks.\nThe workshop is provided as a platform to discuss those challenges, and focus in particular on the international tax aspects of corporate tax planning. \nCourse address topics: \nBase Erosion and Profit-Shifting (BEPS) update; \nTransfer Pricing: accurate delineation of the transaction, analyzing risk; Profit Split; Intangibles; Financing and Trafsfer Pricing issues;\nChallenges of digitalization of the economy",null,"nie","nie","","","","",""]
["CE145","Center of Excellence in Finance","Monetary and Financial Statistics","Ľubľana, Slovinsko",5,5,"2019-04-01","2019-04-05","0 EUR",null,"https://www.cef-see.org/2019-m-f-stats",null,"Kurzy BGSE bývajú skôr zamerané na teóriu, preto ich neodporúčame analytikom, ktorí očakávajú aj praktické cvičenia.\nEarly-bird registration and payment deadline: April 1, 2019","nie ","nie","","","","",""]
["CE151","Center of Excellence in Finance","Planning and Prioritizing Public Investment Projects","Ľubľana, Slovinsko",3,3,"2019-11-12","2019-11-14","0 EUR",null,"https://www.cef-see.org/2019-pim","The workshop will provide a basis for improved understanding of key factors that undermine the efficiency of public investment projects, shortcomings in procedures and optimal institutional arrangements for their management, and measures that can be taken to increase the efficiency of capital expenditures.\nThe workshop will explore the prerequisites for streamlined and simplified prioritization and selection criteria for public investment projects, including their positioning in medium-term budget frameworks and annual budget preparation cycles.",null,"nie","nie","","","","",""]
["CE152","Center of Excellence in Finance","Medium-Term Revenue Strategy (MTRS)","Ľubľana, Slovinsko",3,3,"2019-12-10","2019-12-12","0 EUR",null,"https://www.cef-see.org/2019-mtrs","The workshop will discuss the core elements of such strategy, i.e. the importance of establishing broad consensus on the level of revenue mobilization effort needed; understanding the comprehensive set of tax system reform strategies to achieve revenue goals; ensuring country commitment; and securing sufficient funding, coordination and alignment of donor and technical assistance support. In course, participants will discuss the origin of the concept, differences between the most current approaches to revenue reform, and the problems it is designed to resolve.",null,"nie","nie","","","","",""]
["CI001","Centre for Industrial Studies","CBA Summer School","Miláno, Taliansko",5,5,"2019-09-09","2019-09-13","2600 EUR","2019-06-14","https://www.csilmilano.com/Summer-School/Summer-School.html","The school offers an intensive and participative learning experience focused on the appraisal (Cost-Benefit Analysis, CBA) of major infrastructure projects, with a focus on those applying for co-financing under the European Structural and Investment Funds in the programming period 2014-2020. The school reflects provides an overview and introduction to principles and methods of CBA along with a more in-depth understanding of sectoral applications.","Early-bird fee* EUR 2,100","nie","nie",1.17,"","","",""]
["DP001","Data for policy CIC","Data for Policy","Londýn, Veľká Británia",2,2,"2019-06-11","2019-06-12","850 GBP","2019-05-31","http://dataforpolicy.org/","Data for Policy is a premier global forum for interdisciplinary and cross-sector discussions around the impact and potential of the digital revolution in the government sector. \nThe 2019 conference will host over a hundred presentations by prestigious academic institutions, government departments, international agencies, non-profit institutions, and businesses.",null,null,"nie","","","","",""]
["ES006","Devstat","Social Data Mining","Valencia, Španielsko",{"$f":"NETWORKDAYS(G66,H66,sviatky)","v":2},{"$f":"_xlfn.DAYS(H66,G66)+1","v":2},"2019-09-16","2019-09-17","0 EUR","2019-07-05","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","This course will provide participants with an understanding of\nfundamental data mining methodologies and with the ability to\nformulate and solve problems using them. Particular attention will\nbe paid to practical, efficient and statistically sound techniques,\ncapable of providing not only the requested discoveries, but also\nestimates of their utilities. These lectures will be complemented with\nhands-on experience with data mining software, primarily R, to\nallow development of basic execution skills.\nThe course objectives:\no To introduce students to the basic concepts of Social Media\nand Web technologies.\no To introduce students to the basic concepts and techniques\nof Data Mining and Machine Learning applied to Social Media\nanalysis.\no To develop skills of using R as programming language for\nsolving practical problems.\no To gain experience of doing independent analysis and\nresearch.",null,"nie","nie","","","","",""]
["DU154","Duke University","Tax Analysis and Revenue Forecasting (TARF)","Durham, USA",19,27,"2019-06-16","2019-07-12","10 500 USD","2019-05-16","http://dcid.sanford.duke.edu/academics/exed/tax-analysis","Tax analysis and revenue forecasting have become increasingly important functions as governments undertake reforms of their tax systems to enhance revenues, improve the equity and efficiency of taxes, and promote economic growth.The four-week Tax Analysis and Revenue Forecasting workshop covers the economic foundations of tax policy, revenue forecasting and statistical techniques to give participants the capacity to implement successful tax reforms. The course covers a wide variety of taxes such as value-added tax, personal and corporate income tax, excises, property tax, trade taxes and taxes on natural resources. The application of macroeconomic models, micro-simulation models and typical taxpayer models are also covered.\n\n \nTopics\nTax Analysis\nPrinciples of taxation and tax reform \nEconomic impact of taxes and subsidies\nConsumption and expenditure taxes\nTaxes on international trade\nTaxation of income\nInternational tax harmonization\nWealth and asset taxation\nProperty and real estate taxes\nTaxation of natural resources\nTaxation of financial sectors\nInflation and taxation\nTaxation of e-commerce\nTaxation of MNCs and BEPS\nRevenue Forecasting\nValue-added and excise taxes\nTrade taxes\nPersonal income taxes\nCorporate income taxes\nTaxes on natural resources\nProperty taxes\nComputer Applications\nIntroduction to computers and computerization\nMicrocomputers in revenue forecasting\nEmpirical Techniques and Models\nMicro-simulation models\nTypical taxpayer model\nMacroeconomic models\nGDP-based forecasting models\nRegression analysis\nSampling techniques\nConsumer expenditure surveys\nReceipts model\nSpecial Topics may include:\nRisk management of tax compliance\nTransfer pricing and international dispute resolution\nTax competition and investment incentives\nOverview of tax treaties for double tax avoidance",null,"áno","nie","",1,1,"Začiatočníkom","obsahom kurzu bol teoretický a praktický pohľad na problematiku daní\nKurz sa orientoval na všetky druhy daní. Spestrením kurzu boli prednášky expertov z praxe, profesorov a ekonómov z významných inštitúcií. Kurz ponúkol komplexný pohľad na problematiku a otvorenú diskusiu s expertmi z danej oblasti."]
["DU153","Duke University","Transfer Pricing: Policy and Practice","Durham, USA",5,5,"2019-06-17","2019-06-21","3 750 USD","2019-05-17","http://dcid.sanford.duke.edu/academics/exed/transfer-pricing","Transfer pricing is the most challenging issue in international tax today, creating controversy and frustrations for both taxpayers and tax administrators. This weeklong program provides tax administrators with insight into the complex world of transfer pricing, allowing government officials to develop sound transfer pricing rules that balance the needs of government and business, and to use their limited resources efficiently and effectively in auditing taxpayers. The program also gives private sector tax professionals insight into the perspective of tax examiners.\n\n \nTopics\nBackground/Business Operations\n• Why transfer pricing is important: economic and tax policy issues\n• Structure of multinational corporations\n• Operation of global supply chains\n• How companies set prices\n• Digital commerce\n• Development and use of intellectual property\n• Tax policies to guide transfer pricing\n\nTransfer Pricing Principles\n• Traditional methods for setting prices\n• Transactional methods for setting prices\n• Simplified methods\n• Safe harbors\n• Use of databases\n• UN and OECD guidelines\n\nTransfer Pricing Administration\nTransfer Pricing\nHear from the participants\nGraduates of DCID's first program on transfer pricing explain how the training helped them navigate the most complex issue in international tax.\n\nWATCH THE VIDEO.\n\n• Transfer pricing documentation\n• Coordination of tax rules with customs valuation\n• Advanced pricing agreements\n• Treaty-based dispute resolution",null,"áno","nie","","","","",""]
["DU155","Duke University","Global Value Chain Analysis","Durham, USA",15,20,"2019-07-07","2019-07-26","0 EUR","2019-06-07","http://dcid.sanford.duke.edu/academics/exed/budget","Budgeting and financial management are at the core of economic and public sector reform programs in most nations. With growing pressures for enhanced service delivery and the challenges of budgetary crises and fiscal shocks, improved budget processes and innovative financial management techniques are especially critical in developing and emerging economies. The three-week BUDGET program is designed to give you the skills you need to reform budget systems and contribute to strengthening public financial management around the world.\n\n \n\nTopics\nBudget and macro-economy\nFinancial programming\nPublic finance and economic growth\nBudget and stabilization policy\nFinancing the budget and budget deficits\nRevenue forecasting techniques\nManagement and organization of budget processes\nAlternative budget frameworks including MTEF (medium-term expenditure framework)\nInput-control and output-oriented performance or results-based budgeting techniques\nBalanced scorecard approaches to budgeting and management\nBudget as an instrument of managerial performance\nMonitoring and evaluation of budget performance\nNegotiation techniques and conflict resolution\nIndicators of budget policy, institutions, and processes\nBudget implementation, cash management, and budget monitoring techniques\nFiscal transparency standards and assessment\nFiscal decentralization and budgeting\nCapital budgeting, cost-benefit, and cost effectiveness analyses\nBudgeting and poverty reduction strategies\nDebt management\nRole, budgeting and management of foreign aid\nFiscal aspects of external and domestic debt management",null,"áno","nie","","","","",""]
["DU156","Duke University","Fiscal Decentralization & Local Government Financial Mgt (PFD)","Durham, USA",15,20,"2019-07-07","2019-07-26","9 100 USD","2019-06-07","http://dcid.sanford.duke.edu/academics/exed/fiscal-decentralization","Decentralization reform strategies are being implemented worldwide to improve service delivery, economic governance and citizen participation. This comprehensive three-week program is designed to better enable professionals to develop and implement decentralization policy reforms to improve local public financial management and stimulate efficient and accountable economic and social development.\n\n \nTopics\nFiscal Decentralization\nFiscal federalism and public choice\nAllocating expenditure and revenue responsibilities\nDesigning intergovernmental transfers\nStructuring local government borrowing\nLocal revenue mobilization\nAdministrative Decentralization\nPolitical, administrative and fiscal decentralization trends\nRoles of central and sub-national governments\nIntergovernmental cooperation and administration options\nEffective decentralization strategies\nManaging the decentralization process\nIntergovernmental Transfers\nStructuring recurrent and development transfers\nDesigning effective performance-based grants\nEnsuring a coordinated intergovernmental transfer system\nMonitoring intergovernmental transfers\nLocal Revenue Systems\nProperty taxation\nUser charges and excise tax\nBusiness taxation, license fees, and permits\nIncome and sales taxation\nFiscal Planning and Management\nBudgeting and financial management\nDebt management\nResource administration\nSpecial problems of local revenue administration",null,"áno","nie","","","","",""]
["DU157","Duke University","Budgeting and Financial Management in the Public Sector","Durham, USA",15,20,"2019-07-07","2019-07-26","9 750 USD","2019-06-07","http://dcid.sanford.duke.edu/academics/exed/budget","Budgeting and financial management are at the core of economic and public sector reform programs in most nations. With growing pressures for enhanced service delivery and the challenges of budgetary crises and fiscal shocks, improved budget processes and innovative financial management techniques are especially critical in developing and emerging economies. The three-week BUDGET program is designed to give you the skills you need to reform budget systems and contribute to strengthening public financial management around the world.\n\n \n\nTopics\nBudget and macro-economy\nFinancial programming\nPublic finance and economic growth\nBudget and stabilization policy\nFinancing the budget and budget deficits\nRevenue forecasting techniques\nManagement and organization of budget processes\nAlternative budget frameworks including MTEF (medium-term expenditure framework)\nInput-control and output-oriented performance or results-based budgeting techniques\nBalanced scorecard approaches to budgeting and management\nBudget as an instrument of managerial performance\nMonitoring and evaluation of budget performance\nNegotiation techniques and conflict resolution\nIndicators of budget policy, institutions, and processes\nBudget implementation, cash management, and budget monitoring techniques\nFiscal transparency standards and assessment\nFiscal decentralization and budgeting\nCapital budgeting, cost-benefit, and cost effectiveness analyses\nBudgeting and poverty reduction strategies\nDebt management\nRole, budgeting and management of foreign aid\nFiscal aspects of external and domestic debt management",null,"áno","nie","",1,1,"Pokročilým","Kurz mal vysokú pridanú hodnotu a súvis s náplňou práce zamestnancov pri implementácii projektu. Vysoko profesionálny prístup pedagógov a dostatok praktických cvičení."]
["EM008","EcoMod Network","Practical General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2019-06-24","2019-06-28"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course will introduce all the basic tools for constructing and implementing large-scale applied general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nthe structure of open economy general equilibrium models,\nbuilding the database for such models,\nbuilding social accounting matrices,\ncalibrating a CGE model,\nformulating a CGE model as a non linear programming problem,\nformulating a CGE model as a mixed complementarity problem,\nimplementing the model on the computer using the GAMS software,\nusing the solvers CONOPT, MINOS, PATH, and PATHNLP,\nmodeling the labor market,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results,\nlinking GAMS and Excel for reading and reporting data","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM009","EcoMod Network","Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step","Praha, Česko",5,5,"2019-06-24","2019-06-28"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.\n\nCourse objective: \nthe use of MATLAB,\nthe use of DYNARE\nthe structure of DSGE models,\npreparing the database for DSGE models,\nestimating and calibrating DSGE models,\nintroducing stochastic shocks,\nintroducing imperfect competition,\nintroducing price and wage rigidities,\nimplementing the model using MATLAB and DYNARE,\nnumerical solution methods,\nimpulse response functions,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM010","EcoMod Network","Overlapping Generation General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2019-06-24","2019-06-28"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course will introduce all the basic tools for constructing and implementing overlapping generations general equilibrium (OLG-GE) models with perfect foresight and finite lifetimes. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nmodeling dynamic consumption behavior in OLG-GE models,\nmodeling dynamic production behavior in OLG-GE models,\nmodeling forward-looking expectations,\nmodeling tax and social security systems,\nbuilding the database for such models,\nintroducing complicated population dynamics and population aging,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM011","EcoMod Network","Microsimulation Modeling Using Stata for Tax, Pension, and Health Care Policies","Praha, Česko",5,5,"2019-06-24","2019-06-28"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course provides theoretical foundations and hands-on experience in building and using microsimulation models for tax, pension, health care and social benefit policies.\n\nCourse objective: \nStata\nBuilding and using microsimulation models for personal income tax\nBuilding and using microsimulation models for pensions\nBuilding and using microsimulation models for health care and social benefits\nHow to use survey and administrative data\nHow to link microsimulation to macro or CGE models\nHow to calibrate the model\nStatic and dynamic microsimulation models\nScenario analysis using microsimulation models","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM012","EcoMod Network","Financial General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2019-06-24","2019-06-28"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","This advanced course will introduce all the tools for constructing and implementing financial general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in building the real and financial database for such models, implementing the model in GAMS, formulating scenarios and running policy simulations.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM013","EcoMod Network","Global VAR modeling using the GVAR Toolbox 2.0","Praha, Česko",5,5,"2019-06-24","2019-06-28"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1",null,"A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM001","EcoMod Network","Macroeconometric Modeling using Eviews","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","This course is tailored for staff developing or using small or medium size macro models and staff involved in forecasting and policy analysis in the central banks, ministries and international institutions.\n\nThe course will introduce all the basic tools for constructing and implementing medium-scale macroeconometric models for policy analysis.\nCourse deals with topics:\nthe use of EViews,\neconometrics with EViews,\nthe structure of macroeconometric models,\nbuilding the database for such models,\nestimating and calibrating the models,\nimplementing the model on the computer using EViews,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM002","EcoMod Network","Energy and Environmental CGE Modeling with GAMS","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course will focus on modeling energy and greenhouse gas emissions. \n\nThe course will introduce all the tools for constructing and implementing large-scale, dynamic, multisectoral general equilibrium models for energy and environmental policy analysis. \n\nThe course deals with topics: \nthe structure of general equilibrium models for environmental policy analysis,\nintroducing dynamics,\nmodeling energy markets,\nmodeling complex nesting structures,\nintroducing greenhouse gases,\nmodeling tradable pollution permits,\nmodeling carbon taxes,\nmodeling technical change,\nmodeling backstop technologies,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM003","EcoMod Network","Advanced Techniques in General Equilibrium Modeling with GAMS","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course will focus on multinational and multisectoral modeling with imperfect competition and intertemporal dynamics. \nThe course will introduce all the basic tools for constructing and implementing large-scale multi-national and multi-sectoral dynamic intertemporal general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nthe structure of dynamic models,\nbuilding the database for such models,\nintroducing imperfect competition in the models,\nbuilding dynamic intertemporal models,\nintroducing forward-looking expectations,\nbuilding regional and multinational intertemporal models,\nimplementing the model on the computer using the GAMS software,\nadvanced features of the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM004","EcoMod Network","Financial Social Accounting Matrices (FSAM): Building and Modeling Real-Financial Multiplier Models for Policy Analysis","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","This course provides a strong theoretical foundation and hands-on experience in building Social Accounting Matrices according to the new recommendations of System of National Accounts 2008. The content of the course goes beyond the generalized input-output framework for calculating simple multipliers by considering a Financial Social Accounting Matrix (FSAM).\n\nThe development of integrated financial information at the sectoral level has become central to understanding the interconnectedness between the real and financial sides of the economy. Understand the key components of its construction provides the participants with a tool to deepen the analysis of the financial sector and of the determinants of financial vulnerability associated with interactions with other sectors of the real side of the economy.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM005","EcoMod Network","Agent-Based Economic Modeling Using Python","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","By the end of the course the participants will have acquired detailed knowledge of and hands-on experience in:\n\nPython\nHow to formulate research questions for agent-based models\nHow to write agent-based models\nHow to create firm agents\nHow to create household agents\nDifferent behavioral approaches to agents' behavior such as\nMaximizing agents\nAgents acting according to behavioral heuristics\nMachine learning and other behavioral approaches\nHow to structure them for extensionality","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM006","EcoMod Network","Machine Learning with Python for Economics and Econometrics","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course will introduce all the basic techniques of machine learning using Python, Keras and tensorFlow.\n\nThis course explores the intersection of machine learning and economics. The course will cover standard machine learning techniques such as supervised and unsupervised learning, statistical learning theory and nonparametric and Bayesian approaches. The course is fully hands-on. Participants will learn the essentials of the Python language and how to implement machine learning using Python, Keras, and TensorFlow.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EM007","EcoMod Network","Stock-Flow Consistent Macroeconomic Modeling Using Eviews","Praha, Česko",4,5,"2019-07-01","2019-07-05"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course provides theoretical foundations and hands-on experience in building dynamic stock-flow-consistent (SFC) models which integrate real and financial markets.\n\nThe course will alternate theoretical discussions with hands-on lab sessions using the EViews software.","A discount of $500.00 is offered on the regular fee for registration with payment completed by May 15, 2019.","nie","nie","","","","",""]
["EL001","EML Learning","Applying Econometrics for Policy Evaluation","Londýn, Veľká Británia",2,2,"2019-07-08","2019-07-09","798 GBP",null,"https://www.eml-learning.co.uk/course-categories/economics-courses/applying-econometrics-for-policy-evaluation/","This two-day course covers a range of econometric evaluation techniques that are used to gauge policy impacts (with a focus on microeconomic contexts).  Regression discontinuity and fixed effects panel data estimation are considered. The course helps attendees identify the potential pitfalls that one encounters when attempting to answer policy questions using microeconometric techniques, and the practical steps to avoid these.",null,null,"nie","","","","",""]
["EC158","European Consortium for Political Research (ECPR)","Introduction to R (entry level)","Bamberg, Nemecko",{"$f":"NETWORKDAYS(G86,H86,sviatky)","v":1},{"$f":"_xlfn.DAYS(H86,G86)+1","v":2},"2019-02-22","2019-02-23","420 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8371&EventID=127","R is a powerful and versatile statistical computing environment. This course introduces you to many of its most commonly used features. \n\nFirst, prticipants will learn what R is and how it works, how data can be read into R, and how these data can be accessed and manipulated.\nNext, course will cover various ways to summarise and tabulate the data, and how to use them for statistical inference. Participants will also learn how to work with some of R's plotting tools.","Entry level","nie","nie",1.8,"","","",""]
["EC159","European Consortium for Political Research (ECPR)","Introduction to R (for participants with some prior knowledge in command-line programming)","Bamberg, Nemecko",1,2,"2019-02-22","2019-02-23","420 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8361&EventID=127","R is a powerful and versatile computing environment, widely used by statisticians, economists, and political scientists.\nIn three sessions particiapants will learn how R works and which tools are available to facilitate working with R (in particular RStudio).\nCourse will cover reading in data from other data formats such as SPSS and STATA, as well as how to save data, how to merge different datasets and bring them into the desired data format, analysing data, implement regression analysis in R, and access various elements of our statistical models for further analysis. Course will also cover data transformation and how to deal with special values in R.","For participants with some prior knowledge in command-line programming","nie","nie",1.8,4,1,"Začiatočníkom","Nízka obsahová kvalita kurzu, Nevhodná štruktúra kurzu (kompaktnosť tém, chronológia kurzu, časová dotácia, kapacita kurzu a pod.), Nedostatočná časová dotácia kurzu, Nedostatok priestoru si trénované zručnosti odskúšať, Nízka kvalita prednášajúcich (ako pedagógov)."]
["EC169","European Consortium for Political Research (ECPR)","Automated Web Data Collection with R","Bamberg, Nemecko",1,2,"2019-02-22","2019-02-23","420 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8344&EventID=127","This course introduces the most important tools for collecting and managing web data. It does so by relying on R, which has vastly expanded its web-scraping functionality in recent years. The major advantage of R for web scraping is that all the steps in a research project can be taken in a coherent framework – data collection, data processing, data analysis and visualisation – ensuring a more friction-free research process.",null,"nie","nie",1.8,"","","",""]
["EC170","European Consortium for Political Research (ECPR)","Introduction to STATA","Bamberg, Nemecko",1,2,"2019-02-22","2019-02-23","420 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8384&EventID=127","The course is an add-on to content-based courses. It introduces how Stata works and how it can be used to conduct descriptive, bivariate and multivariate analyses. The course does NOT give detailed insight into statistical techniques or modelling.\nBy the end of this course, participants will be able to use basic Stata commands, and understand 'how Stata does things' well enough to use it for their own analyses.\nThis course cannot cover all Stata commands and procedures, but will focus on frequently used methods. ",null,"nie","nie",1.8,"","","",""]
["EC171","European Consortium for Political Research (ECPR)","Regression Refresher (before you take a more advanced stats course)","Bamberg, Nemecko",1,2,"2019-02-22","2019-02-23","420 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8368&EventID=127","This course is a refresher about regression. Course covers the conceptual foundations of statistical inference, math underlying regression, regression’s multivariate form focused mainly on the functioning of ordinary least squares, review the assumptions of regression models both from the perspective of why these assumptions exist and what happens if you violate them. \nCourse covers practical tips on how to deal with assumption violations, homoscedasticity, autocorrelation, linearity of relationships and collinearity. Topics are covered both in theory and through an example presented in R.",null,"nie","nie",1.8,"","","",""]
["EC172","European Consortium for Political Research (ECPR)","Maximum Likelihood Estimation","Bamberg, Nemecko",1,2,"2019-02-22","2019-02-23","420 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8378&EventID=127","This course introduces maximum likelihood estimation (MLE), one of the most important methods for parameter estimation in modern social sciences, on which a large body of published empirical works relies. Participants will learn the basic idea of MLE, and some of its extensions in several example cases.\nIn contrast to the least squares methods, MLE requires participants to make some assumptions about distributions of stochastic terms. This course therefore also deals with basics of probability theory.\nStudents will write programs in R to estimate some model parameters.",null,"nie","nie",1.8,"","","",""]
["EC173","European Consortium for Political Research (ECPR)","Linear Regression with R/Stata: Estimation, Interpretation and Presentation","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8343&EventID=127","This course will teach participants the rigorous application of linear regression models. They will estimate these models, interpret their results and judge how well the models fit the data.\nMore complex specifications will be explored. Participants will learn how to deal with dichotomous predictors and interactions. Course also focus on the assumptions on which OLS models are based, how to check for these in the data at hand, and how to handle situations when they are not met.\nThe course will be conducted primarily in R, but I will also share Stata code for all procedures and models.",null,"nie","nie",1.8,"","","",""]
["EC174","European Consortium for Political Research (ECPR)","Introduction to Statistics for Political and Social Scientists Workshop","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8340&EventID=127","This course introduces basic ideas of descriptive and inferential statistics. The course cover the basics: variables, randomisation, centrality and variability, probability distributions, point and interval estimates, hypothesis testing, correlation, simple and multiple linear regression models, model assumptions and violations, and how regression models can be improved.\nThe course and the lab session will be taught in R. ",null,"nie","nie",1.8,"","","",""]
["EC175","European Consortium for Political Research (ECPR)","Introduction to Qualitative Comparative Analysis (QCA)","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8392&EventID=127","This course introduces crisp set and fuzzy set Qualitative Comparative Analysis (QCA) and its analysis in R using the interactive graphical interface of the package QCA. It will give participants a basic understanding of the analytic underpinnings and steps of QCA, and enable you to independently perform a basic crisp or fuzzy set QCA (Standard Analysis).\nCourse will look at the origins, analytic aims, and variants of QCA and deal in depth with techniques and practices of set calibration. The nuts and bolts the QCA technique, from parameters of fit to all steps of the analyses of necessity and sufficiency, are illustrated based on an empirical example study which we replicate in class. It covers the presentation and interpretation of QCA results, as well as ways to deal with limited diversity and other potential pitfalls. Hands-on exercises and daily lab sessions provide opportunities for practice and engagement.",null,"nie","nie",1.8,"","","",""]
["EC280","European Consortium for Political Research (ECPR)","Introduction to Bayesian Inference","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8364&EventID=127","On this course, participants will learn a conceptual background to Bayesian inference, how to read the literature using Bayesian statistics, and how to interpret the results,an introduction to a software for Bayesian analysis, with political science examples.\nThe course consists of lectures (morning) and lab sessions (afternoon). The lectures deal with relevant background knowledge and specific skills for Bayesian analysis. Hence, participants will also learn basic JAGS and Stan, which are necessary for Bayesian estimation. \nThe course is focused on topics:\nestimation of linear regression models using conjugacy and Markov Chain Monte Carlo (MCMC);\nestimation of various regression models (binary logit/probit, poisson, robust regression, etc) and further topics (model selection and check, data augmentation, etc) in Bayesian framework.",null,"nie","nie",1.8,"","","",""]
["EC281","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8367&EventID=127","On this course, participants will gain an advanced understanding and applied skills in qualitative content analysis (QCA), thematic analysis (TA), cross-case analysis (CCA) and grounded theory (GT) using NVivo.\nThe course addresses the gap in the literature and in scholarship training on how to conduct the above methods from the stage of data coding to presenting findings in a CAQDAS environment.",null,"nie","nie",1.8,"","","",""]
["EC282","European Consortium for Political Research (ECPR)","Advanced Multi-Method Research","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8386&EventID=127","This course deals with mixed-methods / multimethod research (MMR) in the social sciences. To accommodate participants’ projects, it aims to reflect the diversity of MMR studies in the discipline.\nPArticipants will discuss the broader understanding of combining qualitative and quantitative methods and the more focused approach, linking case studies and process tracing to a large-n method such as Qualitative Comparative Analysis (QCA) or regression analysis. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.\nThe goal of the course is to understand the different varieties in which MMR can be done. \nTopics include concepts in the qualitative and quantitative analysis, case selection for qualitative research, and the compatibility of theoretical expectations and inferences on causal effects and causal mechanisms. Method-centred discussions are illustrated with examples from different fields of political science.",null,"nie","nie",1.8,"","","",""]
["EC283","European Consortium for Political Research (ECPR)","Logistic Regression and General Linear Models","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8362&EventID=127","This course is an introduction to General Linear Models (GLMs). Participants will learn how to run a regression model when the dependent variable is not a continuous numerical one.\nThis course will cover a broad family of GLMs, including binary, multinomial, ordered, and conditional logistic regression models, as well as models designed for count data (Poisson regression and negative binomial models).\nStudents will learn practical skills related to running GLMs, including proper interpretation of the regression outcome and presentation of model results in the form of graphs and tables. ",null,"nie","nie",1.8,"","","",""]
["EC284","European Consortium for Political Research (ECPR)","Panel Data Analysis","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8365&EventID=127","This course presents different methods for analysing panel data, including:\nfixed-effects\nrandom effects\ndifference-in-differences\nage-period-cohort models\ngrowth curve models\nhybrid models.\nThis is an applied course; no mathematics is involved but the intuition behind the models will be emphasised. We will discuss real data examples using the German Socio-Economic Panel (SOEP) and Stata.",null,"nie","nie",1.8,"","","",""]
["EC285","European Consortium for Political Research (ECPR)","Multilevel Regression Modelling","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8355&EventID=127","This course will teach a basic conceptual understanding of multilevel (a.k.a. hierarchical or mixed) modelling and its statistical foundations.\nYou will learn how to critically assess the appropriateness of such techniques in your own and other people’s research.\nIt will pay special attention to the translation of theoretical expectations into statistical models, the interpretation of results in multilevel analyses and the general use and misuse of multilevel models in the social sciences.\nThe course also arms students with the basic tools to run multilevel models in software such as R, Stata or SPSS. \nApplications will include models with continuous and limited dependent variables in hierarchical, longitudinal and cross-classified nesting situations.",null,"nie","nie",1.8,"","","",""]
["EC286","European Consortium for Political Research (ECPR)","Comparative Research Designs","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8336&EventID=127","This course teaches how to conceive and conduct the most appropriate comparative research design, broadly defined as any research enterprise that comprises at least two ‘cases’ or units of analysis. It answers fundamental questions including:\nWhat is comparison?\nWhy compare; what is the value of comparison?\nWhat should be the mindset of a good comparative researcher?\nWhat is the link between a research puzzle and the choice for a comparative research design – and what would the alternative(s) be?\nAt which level(s) should ‘cases’ be envisaged?\nWe will examine the practicalities of different types of comparative research, following these hands-on steps:\n- prior arbitrations and ‘casing’, i.e. the definition of cases;\n- case selection, through basic or advanced strategies;\n- collecting and managing comparative data;\n- comparative data analysis (qualitative, QCA and quantitative options).",null,"nie","nie",1.8,"","","",""]
["EC287","European Consortium for Political Research (ECPR)","Introduction to Process Tracing","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8350&EventID=127","This course will introduce you to the essentials of process tracing PT within method that focuses on tracing casual mechanisms – the 'link' between a trigger (X) and an outcome (Y). , its main underlying assumptions, and its applicability. We will discuss what causal mechanisms are, how we can 'trace' them, and what kind of causal inferences we can draw on the bases of a process-tracing study.\n\nTo position PT in the broader methodological field, we will look at how it relates to, but differs from, other (larger- and small-N) case study methods, and discuss what understanding of causality underlies PT.\nThis is a hands-on course, applying new insights to concrete examples and, when possible, to participants' own research projects.",null,"nie","nie",1.8,"","","",""]
["EC288","European Consortium for Political Research (ECPR)","Introduction to Qualitative Interpretive Methods","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8338&EventID=127","This course is for PhD students who have just started an interpretive or qualitative research project. It is aimed primarily at students of political science, sociology, international relations and public administration, but students of other social science disciplines such as public policy and anthropology will also benefit from it.\n\nThe course is organised around the typical steps of a research process – from how to formulate an interpretive research question to how to present and document analyses. It introduces a broad spectrum of interpretive approaches with a focus in particular on narrative methods and discourse analysis. These two approaches provide a good representation of different interpretive strategies, and by understanding their logics and uses, you will be able to select a research strategy that best fits your own research question.",null,"nie","nie",1.8,"","","",""]
["EC289","European Consortium for Political Research (ECPR)","Qualitative Interviewing Workshop","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8345&EventID=127","This hands-on course will give students methodological tools, and a space for critical reflection, to refine qualitative interviewing techniques in your own research.\nLectures and discussions are about key methodological issues. This will broaden students´s methodological horizons and improve their understanding of how data collection through interviewing fits into the overall research design, whether qualitative or mixed methods. They will learn how interview data collection relates to epistemological and theoretical as well as practical and ethical questions.",null,"nie","nie",1.8,"","","",""]
["EC290","European Consortium for Political Research (ECPR)","Focus Groups – From Qualitative Data Generation to Analysis","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8346&EventID=127",null,null,"nie","nie",1.8,"","","",""]
["EC291","European Consortium for Political Research (ECPR)","Survey Design","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8347&EventID=127","This course provides in-depth guidelines to survey research design, embedding and discussing the so-called Total Survey Error (TSE) framework.\nThe course will discuss the assumption of the TSE and critically evaluate the full survey life cycle against this paradigm, participants will discuss the core of idea of survey sampling and trade-offs between probability and non-probability samples; mode selection and trade-offs; question and questionnaire design, fieldwork implementation; effects of response and non-response; as well as new challenges to survey design and extensions to the TSE.\nThe content will be applicable to surveys of individuals, households, and organisations.",null,"nie","nie",1.8,"","","",""]
["EC292","European Consortium for Political Research (ECPR)","Advanced Process-tracing Workshop","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8353&EventID=127","This hands-on course gives the methodological tools to refine use of process-tracing methods in own substantive research. It will also enable to embed process-tracing case studies in mixed-methods research design. \nStudents will discuss aspects of participants' projects, including theories of causal mechanisms and how we can develop testable predictions about evidence that the activities associated with parts of mechanisms might leave in a given case.",null,"nie","nie",1.8,"","","",""]
["EC293","European Consortium for Political Research (ECPR)","Advanced Topics in Set-Theoretic Methods and QCA","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8397&EventID=127","This course addresses advanced issues that arise if and when scholars embrace notions of sets and their relations. While it is a course about set-theoretic methods writ large, most of the time, we will discuss issues specific to QCA.\nIn this course, we discuss the issues raised by theses critiques, and go beyond them to explore the hitherto under-used potentials of set-theoretic methods.\nMore emphasis is put on topics:\nset-theoretic multi-method research\nrobustness and sensitivity\nset-theoretic theory evaluation\nenhanced Standard Analysis\ndata structures and set-theoretic methods, including temporal ordering and two-step QCA\nmodel ambiguity\nmulti-value QCA.\n\n",null,"nie","nie",1.8,"","","",""]
["EC294","European Consortium for Political Research (ECPR)","Methods of Modern Causal Analysis Based on Observational Data","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8366&EventID=127","This course provides an introduction into new methods such as Propensity Score Matching (PSM), Instrument Variables (IV), and Difference-in-Differences (DID) approaches in cross-sectional and longitudinal designs.\nStudents will discuss empirical examples and apply methods in computer exercises using Stata and real-world data.\nEstimating causal effects is a central aim of quantitative empirical analysis in social sciences.",null,"nie","nie",1.8,"","","",""]
["EC295","European Consortium for Political Research (ECPR)","Structural Equation Modelling (SEM) with R","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8356&EventID=127","The course gives an introduction to theory and practice of Structural Equation Modelling (SEM).\nIt answers the question, why is it more beneficial to use SEM, compared to classical path models. It is shown, how the theoretical latent constructs (e.g. social and political attitudes, and values) can be measured and explained with their relationships with other variables. The course highlights the theoretically and empirically important aspects of model comparison between different groups (such as countries or different years in a longitudinal survey).",null,"nie","nie",1.8,"","","",""]
["EC296","European Consortium for Political Research (ECPR)","Times Series Analysis","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8351&EventID=127","This course is a comprehensive introduction to time series analysis with R. Students will gain an understanding of time series and learn how to meaningful inferences and forecasts from data collected over time.\nIt will successively introduce more complex aspects of statistical analysis. \nThe course takes a hands-on approach to teaching the logic of analysis and estimation. I will present examples of application of techniques to the actual data, and you will perform a variety of data analyses.",null,"nie","nie",1.8,4,1,"Pokročilým","Kurz nenaplnil očakávania účastníka. Pedagógovia ako odborníci získali nízke hodnotenie, účastník by uvítal viac sa držať študijných materiálov. "]
["EC297","European Consortium for Political Research (ECPR)","Advanced Sequence Analysis","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8373&EventID=127","This course is concerned about sequence analysis which is the systematic descriptive and causal study of sequences; that is, successions of standard categorical states or events.\n\nNumerous fields in the social and political sciences are concerned with sequences, including life course, the sociology of professional careers, political sociology, the evolution of regimes and elections. Yet so far, most of the applied literature in sequence analysis is limited to a few basic methods, namely descriptive sequential statistics, individual and distribution graphs, and typologies.\n",null,"nie","nie",1.8,"","","",""]
["EC298","European Consortium for Political Research (ECPR)","Event History and Survival Analysis","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8374&EventID=127","In this course, participants will thoroughly study a situation when there is only one event per subject, but will also quickly review the extensions to a sufficient degree for them to be able to continue their work in the area. \nThe most distinctive feature of time to event data is that the event is often not observed at the time of analysis. Applying standard statistical methods to such data leads to severe bias or loss of information.\nSpecial methods are therefore needed to extract information. \n\nCourse will include practical examples, for which will be used the software package R. ",null,"nie","nie",1.8,"","","",""]
["EC299","European Consortium for Political Research (ECPR)","Introduction to Machine Learning for the Social Sciences","Bamberg, Nemecko",5,5,"2019-02-25","2019-03-01","895 EUR","2018-12-17","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8393&EventID=127","In this course, participants will learn the fundamentals of machine learning as a data analysis approach, and will get an overview of the most common and versatile classes of ML algorithms in use today.\nBy the end of the course, they will be able to identify what kind of technique is most suitable for their research question and data, and how to design, test and interpret their models. They will also be equipped with sufficient basic knowledge to proceed independently for more advanced algorithms and problems.",null,"nie","nie",1.8,"","","",""]
["EC188","European Consortium for Political Research (ECPR)","Python Programming for Social Scientists: Big Data, Web Scraping and Other Useful Programming Tricks","Budapešť, Maďarsko",1,2,"2019-07-26","2019-07-27","420 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8412&EventID=131","This course offers an introduction to programming with Python, starting from the basics, and focusing on solving problems around data collection, processing and analysis.\n\nBy the end of this course, participants will have experience with techniques vital to effective data management:\nThe basic syntax and use of Python as a data analysis tool, including writing and executing scripts to automate common tasks, using the IPython interpreter for interactive exploration of data and code, and using the Jupyter notebook to share and collaborate.\nLoading data from a variety of common formats such as csv, html, json\nManipulating data efficiently with Pandas\nBasic web scraping\nUse of web APIs\nUse of special python packages such as data visualisation libraries",null,"nie","nie",1.8,"","","",""]
["EC189","European Consortium for Political Research (ECPR)","Refresher in Regression","Budapešť, Maďarsko",1,2,"2019-07-26","2019-07-27","420 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8446&EventID=131","This course is a refresher about regression. \n \nIt covers the conceptual foundations of statistical inference. Then it launches into the maths underlying regression (in the most user-friendly way humanly possible – do not worry), also course turns to regression’s multivariate form. \n\nThe secondary goal of this class is to review the foundations:\nautocorrelation in multilevel regression\npanel data and time series\nmeasurement error in structural equations\nlimited dependent variables in logistic regression and general linear models, etc.",null,"nie","nie",1.8,"","","",""]
["EC190","European Consortium for Political Research (ECPR)","R Basics","Budapešť, Maďarsko",1,2,"2019-07-26","2019-07-27","420 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8411&EventID=131","This short course will show participants how R can be a powerful tool in every step of the data analysis process. We will cover:\n\nimporting data (in various formats)\ncleaning and manipulating data\nvisualisations\nstatistical analysis.\nSince the popularity of R is due to its ever-expanding package ecosystem, I will place a special emphasis on how to get information on packages, and how to get relevant R help. We will also cover how to create reports, export results and generally how to do reproducible research in R, using RStudio.",null,"nie","nie",1.8,1,2,"Začiatočníkom","Kurz splnil očakávania účastníkov, nadobudnuté zručnosti ďalej využívajú v zamestnaní. Kurzy ECPR sú hodnotené ako veľmi kvalitné, na vysokej odbornej úrovni s možnosťou tréningu praktických zručností. "]
["EC192","European Consortium for Political Research (ECPR)","Qualitative Comparative Analysis and Fuzzy Sets","Budapešť, Maďarsko",{"$f":"NETWORKDAYS(G118,H118,sviatky)","v":5},{"$f":"_xlfn.DAYS(H118,G118)+1","v":5},"2019-07-29","2019-08-02","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8404&EventID=131","This course introduces participants to set-theoretic methods and their application in the social sciences, with a focus on Qualitative Comparative Analysis. \n\nThe course starts by familiarising you with the basic concepts of the underlying methodological perspective, among them the central notions of necessity and sufficiency, formal logic and Boolean algebra. From there, it moves to the logic and analysis of truth tables and discuss the most important problems that emerge when this analytical tool is used for exploring social science data.\n\nParticipants will perform set-theoretic analyses with the relevant R software packages. ",null,"nie","nie",1.8,"","","",""]
["EC194","European Consortium for Political Research (ECPR)","Introduction to Inferential Statistics: What you need to know before you take regression","Budapešť, Maďarsko",5,6,"2019-07-29","2019-08-03","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8421&EventID=131","On this course, participants will learn the basics of statistical inference and the most commonly used statistical techniques in political science research for differentiating between groups or to see if there is a difference between two variables.\n\nThe course is designed to give you an in-depth understanding of how these statistical techniques work while minimising the mathematical burden on you.\n\nThe course provides the foundation for multiple regression and is a must for anyone wanting to take that course as long as you are not familiar or comfortable with the topics listed in this outline.",null,"nie","nie",1.8,1,2,"Začiatočníkom","Kurz vhodný pre analytikov začínajúcich v dátovej analýze, prípadne zopakovanie si základov štatistiky. Prednášajúci boli dobrí pedagógovia, aj odborníci. "]
["EC195","European Consortium for Political Research (ECPR)","Multivariate Statistical Techniques for Comparing Countries","Budapešť, Maďarsko",5,5,"2019-07-29","2019-08-02","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8417&EventID=131","This course proposes an overview and practical experience of the major theoretical and practical issues that are faced by the statistical analysis of cross-national comparative survey analysis. It combines the learning of fundamental points about the statistical techniques used to analyse such surveys and the learning of the practical problems encountered when using them. \n\nThe course proposes a panorama of the most used techniques such as linear regression analysis (and ANCOVA), logistic regression, loglinear models, factor analysis and correspondence analysis. ",null,"nie","nie",1.8,"","","",""]
["EC197","European Consortium for Political Research (ECPR)","Panel Data Analysis","Budapešť, Maďarsko",5,5,"2019-07-29","2019-08-02","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8422&EventID=131","This course places an emphasis on the connections between panel data methods and causal inference, which is the primary goal of social science research.\n\nThe course offeres quick overview of causal inference and a review of the standard OLS assumptions, simple panel data methods, fixed and random effect estimators and then more advanced methods such as clustered samples, panel instrumental variable methods, panel corrected standard error estimator and dynamic panel regressions, which deal with various violations of the standard OLS assumptions. \n\nLab sessions are arranged to put these methods into practice (using Stata). ",null,"nie","nie",1.8,"","","",""]
["EC198","European Consortium for Political Research (ECPR)","Introduction to Experimental Research in the Social Sciences","Budapešť, Maďarsko",5,5,"2019-07-29","2019-08-02","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8424&EventID=131","This course is an introduction to experimental research in the social sciences, with particular focus on political science. \nCourse will cover the basic theoretical principles of experimental design, discuss some practical issues, and introduce some basic statistical techniques used to analyse experimental data.\n\nThe course includes a practical part in which participants will be asked to come up with ideas on how to investigate experimentally a given phenomenon, and work on its implementation.",null,"nie","nie",1.8,"","","",""]
["EC191","European Consortium for Political Research (ECPR)","Multi-Method Research: Techniques and Applications","Budapešť, Maďarsko",4,5,"2019-07-30","2019-08-03","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8430&EventID=131","This course is designed to assist researchers combining two or more methodological approaches in empirical projects – so-called mixed methods research – to strengthen the validity of their conclusions and demonstrate generalisability of their findings.\n\nParticular attention will be paid to the extent to which methods from diverging epistemologies can be combined, and if so, how. \n\nFinally, course discusses techniques for integrating the empirical results and writing them up in a convincing narrative style.",null,"nie","nie",1.8,"","","",""]
["EC193","European Consortium for Political Research (ECPR)","Qualitative Comparative Analysis and Fuzzy Sets","Budapešť, Maďarsko",5,5,"2019-08-05","2019-08-09","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8404&EventID=131","This course introduces you to set-theoretic methods and their application in the social sciences, with a focus on Qualitative Comparative Analysis. \n\nThe course starts by familiarising you with the basic concepts of the underlying methodological perspective, among them the central notions of necessity and sufficiency, formal logic and Boolean algebra. It includes the logic and analysis of truth tables and discuss the most important problems that emerge when this analytical tool is used for exploring social science data.\n\nParticipants will perform set-theoretic analyses with the relevant R software packages. ",null,"nie","nie",1.8,"","","",""]
["EC196","European Consortium for Political Research (ECPR)","Advanced Topics in Applied Regression","Budapešť, Maďarsko",5,5,"2019-08-05","2019-08-09","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8445&EventID=131","The class begins with an overview of regression assumptions and what happens when they are violated. Course describes understanding interactions between both continuous and categorical data. Thereafter, it consideres what to do when one of the main assumptions of OLS – the linearity of relationships – regression is violated. Course includes regression and resampling (bootstrap and jackknife) to estimate uncertainty, also focuses on models as a whole – it looks into how the BIC (Bayesian Information Criterion) can be applied for model selection and merging the results from different models.\n\nThroughout, participants will focus on using R to solve these issues, gaining additional knowledge about this essential statistical tool thereby.",null,"nie","nie",1.8,"","","",""]
["EC199","European Consortium for Political Research (ECPR)","Longitudinal Research Designs - Qualitative Approaches","Budapešť, Maďarsko",5,5,"2019-08-05","2019-08-09","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8409&EventID=131","The course introduces the method of longitudinal case study analysis (LCA) as a hybrid of:\n\nprocess-tracing\nperiodised within-case research design, and\nhistorical comparative analysis (HCA).\n\nThis course shows how to combine different techniques for hypothesis testing by slicing and dicing empirics within a single case study over time and, as a second step, extending these comparisons to one or more similar case studies across space. The purpose is to guide students through the process of fitting an appropriately tailored longitudinal case study design to their research question, formulate a plan for testing their hypotheses using within- and cross-case variation in their study variables, develop a plan for approaching, collecting and analysing data in the field, and prepare to write up their results in a convincing narrative style.",null,"nie","nie",1.8,"","","",""]
["EC200","European Consortium for Political Research (ECPR)","Multiple Regression Analysis: Estimation, Diagnostics, and Modelling","Budapešť, Maďarsko",5,5,"2019-08-05","2019-08-09","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8410&EventID=131","This short course is an introduction to regression analysis.\n\nParticipants will learn the classical theory of Ordinary Least Squares (OLS) regression and we will introduce applied methods in regression analysis using the statistical software package Stata.\n\nAfter introducing simple linear regression, the course considers multiple linear regression and concludes with non-linear regression techniques. ",null,"nie","nie",1.8,1,1,"Pokročilým","Kurz je vhodný najmä pre analytikov, ktorí pracujú s množstom dát a vykonávajú regresnú analýzu. Vysoká odbornosť a kvalitná teoretická stránka sú výhodou. Menej praktických úloh v programe STATA, ktoré sú však kompenzované domácimi úlohami. "]
["EC201","European Consortium for Political Research (ECPR)","Multivariate Statistical Techniques for Comparing Countries","Budapešť, Maďarsko",5,5,"2019-08-05","2019-08-09","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8410&EventID=131","This short course is an introduction to regression analysis.\n\nParticipants will learn the classical theory of Ordinary Least Squares (OLS) regression and course will introduce applied methods in regression analysis using the statistical software package Stata.\n\nAfter introducing simple linear regression, the course considers multiple linear regression and concludes with non-linear regression techniques. ",null,"nie","nie",1.8,"","","",""]
["EC202","European Consortium for Political Research (ECPR)","Quantitative Text Analysis","Budapešť, Maďarsko",5,5,"2019-08-05","2019-08-09","895 EUR","2019-05-29","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8438&EventID=131","This applied course will provide you with advanced techniques of quantitative text analysis methods that allow you to systematically extract information from political texts. The course offeres a quick review of Dictionary based approaches to Scaling, Topic coding, and Sentiment Analysis, but quickly moves to more sophisticated techniques for the quantitative analysis of texts. The course will point out the differences between supervised and unsupervised mechanisms of text analysis and will –to the extent to which the setting allows- delve somewhat on the mathematical and statistical background of some of these techniques. This course will look into how to incorporate the outcome of applying QTA to a Corpus for interpretation and to be used in further statistical analysis. ",null,"nie","nie",1.8,"","","",""]
["EU188","European Institute of Public Administration (EIPA)","Cost-Benefit Analysis (CBA) of EU-Financed Projects and its Future: Advanced Course","Barcelona, Španielsko",3,3,"2019-03-25","2019-03-27","1 325 EUR","2019-03-13","https://www.eipa.eu/product/cost-benefit-analysis-eu-financed-projects/","This three-day, highly practical course, will cover all essential aspects of the Cost Benefit Analysis (CBA) of 2014-2020, in line with the European Commission Guide on CBA, published in December 2014 and its future in the next programming period 2021 – 2027.\n\nIt explains why CBA is one of the most important tools in the programming period of 2014-2020, not only for beneficiaries of EU funds, but also for national and regional administrations in their decision-making process regarding investment projects. It also shows how the European Court of Auditors audits CBA.",null,"nie","nie",2,"","","",""]
["EU189","European Institute of Public Administration (EIPA)","Cost-Benefit Analysis (CBA) of EU-Financed Projects and its Future: Advanced Course","Barcelona, Španielsko",2,2,"2019-03-28","2019-03-29","1 000 EUR","2019-03-13","https://www.eipa.eu/product/cost-benefit-analysis-eu-financed-projects-advanced/","This course explains in a very detailed and practical way how to successfully perform each element of a CBA. This includes the financial, economic, sensitivity and risk analysis of projects eligible under EU Funds in different sectors. It lays special emphasis on typical benefits and the techniques used most frequently to evaluate them in the programming period of 2014-2020. It will also include the foreseen changes for the 2021 – 2027 perspective.\n\nDuring the course students will take part in workshops that will allow them to practice how to review the quality of CBAs and how to report their results. They will also learn how to adjust the project to improve the quality of the CBA and make it desirable for the EU co-financing.",null,"nie","nie",2,"","","",""]
["EO001","European Observatory on Health Systems and Policies","Observatory Venice Summer School 2019","San Servolo, Taliansko",5,7,"2019-07-21","2019-07-27","2 260 EUR","2019-05-31","https://theobservatorysummerschool.org/","This summer School is a short, intensive course icluding learning, interacting, studying, debating, and sharing experiences with other policy-makers, planners and professionals to understand, discuss and improve health workforce strategies and policies.\n\nObjectives of this course are:\n\nUnderstanding definitions of skill-mix innovation and analysing skill-mix trends, drivers and outcomes in countries.\nReviewing policy and other governance approaches for creating and implementing skill-mix innovation (e.g. regulation, education, payment policies).\nAssessing skill-mix innovation for integrated care (including the hospital interface).\nPreparing for future challenges and trends.",null,"áno","nie","",2,1,"Profesionálom","Prevažovala teória nad praxou, čo bola jediná nevýhoda kurzu. Veľmi kvalitná letná škola s odborníkmi-pedagógmi, študijnými materiálmi a s hladkým priebehom."]
["ES002","Eurostat","Energy Statistics","Luxembrug, Luxembursko",3,3,"2019-06-18","2019-06-20","0 EUR","2019-04-23","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","The course will introduce the theoretical and practical knowledge, as\nwell as the methodological guidelines for the use of the Energy Balance.\nThe main focus will be on methodology, concepts and definitions, calculations and discussions on these tools. Practical examples of the use of these tools will be also covered during the training.\n\nParticipants will gain understanding of the conceptual framework,\nmethodological choices and functioning of the energy balance\nbuilder and the SHARES tools, as well as the applied validation\nrules (coherence, consistency and plausibility checks). \nFurthermore, they will have the\npossibility to understand how to use the various IT aspects of these\ntools for their own special needs and purposes.",null,"nie","nie","","","","",""]
["ES001","Eurostat","Machine Learning Econometrics","Valencia, Španielsko",3,3,"2019-06-25","2019-06-27","0 EUR","2019-04-30","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","The objective of the course is to present and demonstrate\ninnovative algorithm-based techniques for data analysis, with\napplication to datasets from official statistics as well as from other\nsources (Big Data, natural language textual data).\n\nThe topics included:\nReview of classical econometrics. \nEconometric methods in\nOfficial Statistics: examples of use\n Methodological overview: model-based vs algorithm-based\ninference\n Machine-learning and computational issues: validation (training\nvs test data, cross-validation), model overfitting, replication\n(bootstrap, bagging, model averaging)\n Machine-learning linear estimation: regularization of linear\nmodels (lasso, ridge regression)\n Machine-learning non-linear estimation methods (trees, forests,\nSupport Vector Machines, neural nets)\n Econometric analysis with natural language textual data\n Manipulation of big data: SQL and NoSQL databases\n Practice with R\n",null,"nie","nie","","","","",""]
["ES003","Eurostat","Government Finance Statistics and Excessive\nDeficit Procedure Part I","Luxembrug, Luxembursko",4,5,"2019-07-01","2019-07-05","0 EUR","2019-05-06","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","The aim of this course is to improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics;\nto examine the theoretical basis and structure of the European\nSystem of Accounts (ESA 2010) based GFS and EDP-data.\nCourse includes:\n Basic concepts of ESA 2010, tailored toward GFS and EDP;\n Delimitation of general government;\n Transactions/stocks relevant for government;\n Definition EDP-concepts, EDP-tables and the Questionnaire.",null,"nie","nie","","","","",""]
["ES004","Eurostat","Advanced JDEMETRA+ with R","Luxembrug, Luxembursko",3,3,"2019-09-10","2019-09-12","0 EUR","2019-07-05","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","The aim of this course is to provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; to train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of\nrevisions. Next, course will prepare and motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending (new plug-ins) the tool.",null,"nie","nie","","","","",""]
["ES007","Eurostat","Government Finance Statistics and Excessive\nDeficit Procedure Part II","Luxembrug, Luxembursko",5,5,"2019-11-25","2019-11-29","0 EUR","2019-05-06","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","The outcome of this course will be improved knowledge of ESA 2010, GFS and EDP-concepts; basis for\ncompilation of EDP tables and questionnaires relating to the EDP\nnotification tables.\nThe aim of course is: \n To examine the theoretical basis and structure of the European\nSystem of Accounts (ESA 2010) based GFS and EDP-data.\nCONTENTS  Basic concepts of ESA 2010, tailored toward GFS and EDP;\n Delimitation of general government;\n Transactions/stocks relevant for government;\n Definition EDP-concepts, EDP-tables and the Questionnaire.",null,"nie","nie","","","","",""]
["ES008","Eurostat","Tourism Satellite Accounts","Luxembrug, Luxembursko",2,2,"2019-11-26","2019-11-27","0 EUR","2019-10-01","https://ec.europa.eu/eurostat/documents/747709/6103606/2019-ESTP-catalogue-final.pdf","The training course will introduce the theoretical and practical knowhow of TSA compilation and will position TSA vis-à-vis primary\ntourism statistics.\nThe main compilation challenges for each TSA table (with a focus on\ncore tables 1 to 6) will be discussed, with the aim of improving the\ninternational comparability through maximising the use of existing\nharmonised European statistics.\nThe final goal of the course is to prepare participants to embark on\nthe production of TSA at national level or to improve the existing TSA\nand to better align national TSA to the international\nrecommendations.",null,"nie","nie","","","","",""]
["GE190","GESIS – Leibniz Institute for Social Sciences","Introduction to Data Analysis Using Stata","Kolín, Nemecko",2,2,"2019-08-01","2019-08-02","360 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x261F32407AEB4BCFBF4802650C22E922&lang=en_US","This course will give a thorough introduction to the Statistics Software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills.\nCourse will cover the program's interface and give an introductory to its basic syntax structure, it will review available help and support features (online and offline). The course will provide students with skills in hands-on data management, common data analyses, and the visualizing of results. Special attention will be devoted on how to use Stata within an integrated workflow and how to obtain publication-ready results (tables and graphs) from Stata. ","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,3,2.7,"Začiatočníkom","Na získanie certifikátu bola potrebná 90% účasť na prednáškach a cvičeniach, čo účastníci kurzu považovali za nevýhodu z dôvodu ovládania danej problematiky. Kurz bol dobre štruktúrovaný s množstvom cvičení, vďaka ktorým si účastníci mohli precvičiť získané vedomosti. Nevýhodou kurzu bolo pomalšie tempo výuky kvôli slabším vedomostiam niektorých účastníkíov. Podmienkou kurzu je ovládanie ekonometrie a štatistiky."]
["GE193","GESIS – Leibniz Institute for Social Sciences","Using Mplus for Latent-Variable Modeling: An Introduction","Kolín, Nemecko",2,2,"2019-08-01","2019-08-02","360 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xFF6E1BDD7DC84FD49533770E1E1A5403&lang=en_US","This short course introduces the statistical software Mplus and demonstrates the basic programming skills for analyzing multivariate statistical problems, such as structural equation models (SEM) with Mplus. The main objective of the course is to understand the basic features of Mplus, the syntax of its code, and the appropriate work flow. Participants will learn how to prepare and load their data, become familiar with the structure of Mplus input and output files and learn how to write Mplus syntax of simple and more complex latent variable models.  Rather than introducing specific statistical models, the course will focus on the more general task of handling the Mplus software and equip participants with the skills needed to implement their own statistical models.","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE194","GESIS – Leibniz Institute for Social Sciences","Research Designs and Causal Inference","Kolín, Nemecko",2,2,"2019-08-01","2019-08-02","360 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x11688733FB1A4CA7A191206843233F67&lang=en_US","By the end of the course participants will have obtained an extensive overview over various types of quantitative research designs;\nbe familiar with the concept of causality from different perspectives;\nbe able to select the appropriate research design to answer causal research questions.","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE195","GESIS – Leibniz Institute for Social Sciences","Introduction to Survey Design","Kolín, Nemecko",5,5,"2019-08-05","2019-08-09","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xA4A12765F1784BE88FBAF16C12825207&lang=en_US","This course gives an overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing up data quality at each step of the process against associated costs.","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE196","GESIS – Leibniz Institute for Social Sciences","Introduction to Structural Equation Modeling: Confirmatory Factor Analysis with Mplus","Kolín, Nemecko",5,5,"2019-08-05","2019-08-09","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x9318ADD71B2245A7B75768ADDD1CEC74&lang=en_US","The course focuses on measurement models and their application within the Structural Equation Modeling (SEM) framework. Course will show how a theoretical model, represented by measurement models, can be applied to empirical data and how to assess its fit to the data through the measurements' covariance matrix. Confirmatory Factor Analysis (CFA) is an important and basic aspect of the SEM-framework and its understanding and application to data is the core learning aspect of this course. Also, CFA is a necessary conceptual precondition to understand and apply the structural aspect of SEM, path modeling. Therefore, the course deals with concepts and applications of CFA such as assessing construct validity and reliability of a measurement model as well as the interpretation of calculated results. The topics addressed in the course include different modeling techniques of CFA such as single measurement models, simultaneous CFA (SCFA), the Multiple Group Comparison of the CFA (MGCFA), and the higher-order CFA. ","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE197","GESIS – Leibniz Institute for Social Sciences","Questionnaire Design","Kolín, Nemecko",5,5,"2019-08-05","2019-08-09","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xBBD90F1829E94EF6884A5BE78554B29C&lang=en_US","The course will strengthen the, participants' ability to design effective survey questions and to integrate them into a meaningful questionnaire. An effective questionnaire is a key component of a survey contributing to overall data quality. In addition to an overview of theoretical principles underlying questionnaire design this course particularly aims at providing evidence-based practical advice on how to design good survey questions and questionnaires. Based on field-experimental studies evaluating various aspects of questionnaire design participants will acquire state of the art knowledge concerning questionnaire design. ","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE191","GESIS – Leibniz Institute for Social Sciences","Introductory Course to R with Applications from Data Analysis","Kolín, Nemecko",5,5,"2019-08-12","2019-08-16","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xCD9ADDC09DC147FD978A102A25DFA6E2&lang=en_US"," Emphasis in this course will be on methods of graphically-based data analysis as R is particularly suitable for it.\nThe open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications.","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE192","GESIS – Leibniz Institute for Social Sciences","Statistical Analysis of Incomplete Data","Kolín, Nemecko",5,5,"2019-08-12","2019-08-16","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xDFC487F560054A5EB902AA68C9BE243E&lang=en_US","This course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R, SAS, Stata, SPSS,…), the method has become more accessible to data analysts.\nThis course has a theoretical part but also frequent problems like regression with missing data will be addressed, and further typical situations will be covered by the lab session throughout the course, which is predominantly based on the statistical language R.","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE198","GESIS – Leibniz Institute for Social Sciences","Mixed Mode and Mixed Device Survey","Kolín, Nemecko",5,5,"2019-08-12","2019-08-16","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x065E707D1F4B4E7E9E9B6F0CE19A88EB&lang=en_US","This course will discuss the most common designs for mixing modes in longitudinal, cross-national and single mode surveys.\nMixed-mode surveys are almost inevitable today, especially for academic research and official statistics. In this course is given an overview of issues in design and analysis and provide tools for designing, implementing and evaluating mixed-mode and mixed-device studies. ON course will be discussed the most common designs for mixing modes in longitudinal, cross-national and single mode surveys. As online surveys are often part of the mix, course will pay special attention to online data collection, and to the device respondents use to respond (e.g. smartphone, tablet, laptop).","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE199","GESIS – Leibniz Institute for Social Sciences","Design and Implementation of Longitudinal Surveys","Kolín, Nemecko",5,5,"2019-08-12","2019-08-16","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x75CEF2842B434FAE8627AB5BE525BD3A&lang=en_US","The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\na review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put;\nkey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes;\nimportant aspects of designing a questionnaire and measurement for a longitudinal study, particularly for capturing micro-level change;\nthe impact of non-response and attrition in a panel, and adjustments, such as weighting and imputation given that missing data patterns differ between waves;\nan introduction to important analysis considerations and methods when using a longitudinal survey design;","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE200","GESIS – Leibniz Institute for Social Sciences","Questionnaires for Cross Cultural Surveys","Kolín, Nemecko",5,5,"2019-08-19","2019-08-23","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x2B33621B822148149733B6B8DADCF564&lang=en_US","This course focuses on what it means to develop and evaluate questionnaires for use in comparative research, assess the comparability of the used measurements employing for example measurement invariance tests and using the resulting data for substantive analyses.\nIt is focused on the following themes: measurement in comparative surveys, developing questionnaires for cross-cultural surveys, measuring background variables and their harmonization, best-practice in questionnaire translation and adaptation as well as translation assessment, and using quantitative (e.g. multigroup confirmatory factor analyses) and qualitative approaches (e.g. web probing) to test for cross-cultural comparability of measures (i.e. invariance) and to find out the reasons behind non-invariance.","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE201","GESIS – Leibniz Institute for Social Sciences","Sampling, Weighting, and Estimation","Kolín, Nemecko",5,{"$f":"_xlfn.DAYS(H150,G150)+1","v":5},"2019-08-19","2019-08-23","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0x4241B620FEDE47468F243BBB1A212948&lang=en_US","This course will cover: methods of sample selection; calculation of weights that adjust for nonresponse and undercoverage; and analysis of complex survey data. On thecourse will be also discussed an analysis of nonprobability surveys. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. ","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE202","GESIS – Leibniz Institute for Social Sciences","Factorial Survey Design","Kolín, Nemecko",5,5,"2019-08-19","2019-08-23","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xC59F75C991C842D5A006714052450126&lang=en_US","This course gives a theoretical and practical overview of factorial survey methods. Participants will get practical insights into all single steps necessary to design factorial survey experiments: (1) construction of vignettes, (2) selection of an experimental design, (3) drafting and programming of questionnaires (for online surveys as well as paper and pencil surveys), (4) data management, and (5) data analysis techniques (such as multilevel analyses, estimations of willingness to pay). Participants may select a research question related to their own research for practical exercises. For most practical analyses the statistical software package Stata will be used (basic prior knowledge needed). For setting up experimental designs and programming of questionnaires we use the softw","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["GE203","GESIS – Leibniz Institute for Social Sciences","Pretesting","Kolín, Nemecko",5,5,"2019-08-19","2019-08-23","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB455C10E4BA7451CBC729596CA4A2F4C&subID=0xB83C878318E64F598FC0E39CC113699F&lang=en_US","This course provides researchers with the necessary methods and techniques to evaluate, test, and modify surveys to reduce measurement error. Participants are introduced to different pretesting approaches and discuss examples of untested as well as pretested and improved survey questions. The in-class exercises familiarize participants with different pretesting methods. First, students will discuss the overall goal of pretesting surveys and how to fit pretesting into the survey development process. Then, they will discuss the following pretesting methods in detail:\nexpert review & questionnaire appraisal systems\nfocus groups\ncognitive interviewing\nweb probing\nusability testing & eye tracking\nother pretesting methods (e.g., behavior coding)","50 € / ECTS points (papier/report of about 5000 words)","nie","áno",2.5,"","","",""]
["IT001","International Tax Center ITC Leiden","Tax treaties (July 2019 Summer Course in International Tax Law)","Leiden, Holandsko",5,5,"2019-07-08","2019-07-12","2 000 EUR","2019-06-01","https://www.itc-leiden.nl/en/2019-summer-course-leiden","This week of summer school offers for those practitioners that - occasionally or frequently - deal with tax treaties a thorough knowledge of the complex rules that govern these treaties.  \nInstructors will introduce students to both the basic concepts and the fine points of the tax treaty rules.  In addition, through case studies they will make you familiar how the OECD’s Multilateral Instrument (MLI) to which many countries acceded, needs to be applied in situations covered by these countries’ tax treaties.\n\n• Key concepts of international tax law\n• Introduction to tax treaties & treaty residence\n• Business profits taxation under tax treaties\n• Dividends, interest & royalties and immovable property income & capital gains under tax treaties\n• Income from employment, pensions, etc. under tax treaties",null,"nie","nie","","","","",""]
["IT002","International Tax Center ITC Leiden","Advanced subjects (July 2019 Summer Course in International Tax Law)","Leiden, Holandsko",5,5,"2019-07-15","2019-07-19","2 000 EUR","2019-06-01","https://www.itc-leiden.nl/en/2019-summer-course-leiden","Course includes topics:\n• Five fundamental rules on tax treaty application & triangular cases\n• Double Taxation Relief & Non-Discrimination \n• Beneficial ownership & tax treaty anti-avoidance provisions\n• Transfer Pricing Issues\n• Advanced issues on business profits taxation under tax treaties & OECD proposed changes",null,"nie","nie","","","","",""]
["IT003","International Tax Center ITC Leiden","Transfer pricing (July 2019 Summer Course in International Tax Law)","Leiden, Holandsko",5,5,"2019-07-22","2019-07-26","2 000 EUR","2019-06-01","https://www.itc-leiden.nl/en/2019-summer-course-leiden","Course includes topics:\n• Introduction to the arm’s length principle and Traditional Transaction Methods\n• Transactional profit methods\n• Intra-group services and economic analysis\n• Intangible property and Transfer pricing disputes\n• Transfer pricing aspects of business restructurings and Cost Contribution Agreements",null,"nie","nie","","","","",""]
["JC204","Jacobs, Cordova and Associates","Applied Regulatory Impact Assessment (RIA) Training for Professionals","Rím, Taliansko",{"$f":"NETWORKDAYS(G156,H156,sviatky)","v":5},{"$f":"_xlfn.DAYS(H156,G156)+1","v":5},"2019-10-14","2019-10-18","3 350 EUR","2019-09-14","http://regulatoryreform.com/ria-training/","This RIA course is expressly designed for policy officials and executives who use RIA to improve policy results, and private companies who wish to use RIA methods to communicate with government regulators. The course will benefit anyone using RIA in environmental, social and economic fields as well as stakeholders such as business associations, NGOs and consultants who want to understand better how to use RIA constructively.",null,"áno","nie","","","","",""]
["JR001","Jumping Rivers","Mastering the Tidyverse (Data Carpentry)","Belfast, Veľká Británia",1,1,"2019-09-02","2019-09-02","382 GBP","2019-08-02","https://www.jumpingrivers.com/training/course/introduction-r-tidyverse/","The tidyverse is essential for any statistician or data scientist who deals with data on a day-to-day basis. It is an introductory course to the programming language R. The tidyverse allows you to:\n\nImport data from databases and data sources with ease\nRemove the pain of data cleaning\nStart understanding that data by transforming it, visualising it with imagery and modelling it\nCommunicate your findings throughout your organisation securely and simply with apps, documents or plots\nMake business decisions based on accurate data\nThis training course covers key aspects of the tidyverse, including dplyr, lubridate, tidyr and tibbles. Attendees will be comfortable using the R and the tidyverse suite of packages for data manipulation.",null,null,"nie","","","","",""]
["KI205","Kiel Institute for World Economy","International Trade and Macroeconomics","Kiel, Nemecko",{"$f":"NETWORKDAYS(G158,H158,sviatky)","v":5},{"$f":"_xlfn.DAYS(H158,G158)+1","v":5},"2019-01-14","2019-01-18","0 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2018-2019/international-trade-and-macroeconomics-fabio-ghironi/","This mini-course focuses on the intersection of international trade and macroeconomics. Its purpose is to expose students to recent developments in this research area, to develop understanding of the interaction of micro and macro dynamics in international interdependence, and to stimulate ideas for research. The course studies how international macroeconomic models with trade microfoundations can shed new light on long-standing and novel questions in international macroeconomics. On course theories will be confronted  with empirical evidence and pay special attention to the roles of producer entry and exit in domestic and export markets, and firm heterogeneity, in shaping aggregate fluctuations and economic policy outcomes. Topics which will be covered: international trade and macroeconomic dynamics with producer entry, exit, and heterogeneity; FDI, offshoring, and international business cycles; labor market frictions and the consequences of trade integration; financial frictions, banks, and trade; and monetary policy and trade. ",null,"áno","nie","","","","",""]
["LO206","London School of Economics and Political Science (LSE)","Introductory Microeconomics","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC101","This course seeks to introduce microeconomic analysis as a way of understanding the world. It exposes students to standard microeconomic theory with a focus on the development of economic intuition, whilst also providing certain economic tools that support this intuition along the way.\nIt provides a foundation for further study in economics.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO207","London School of Economics and Political Science (LSE)","Intermediate Microeconomics","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC201","The aim of this course is to give students the conceptual basis and the necessary tools for understanding modern microeconomics at the intermediate level.\n\nIn the context of this theoretical framework the course will explore a number of applied issues such as contract design, insurance, and ownership structures.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO208","London School of Economics and Political Science (LSE)","Real Estate Economics and Finance","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC203","This course is an introduction to the theoretical and practical functioning of urban real estate markets using concepts from urban economics, finance and real estate economics.\n\nThe course will cover topics of the productive and consumption advantages of urban areas and location patterns within cities. Students will see how these help determine demand for residential and commercial real estate, as well as looking at differences in supply for different types of properties. They will also discuss the impact of policy, with a special focus on taxation and urban planning.\n\nEquipped with this framework, the course will explore how demand and supply for space determine real estate asset prices and how to measure them. ","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO209","London School of Economics and Political Science (LSE)","Financial Markets and the Global Economy: the History of Bubbles, Crashes and Inflations","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC204","This course introduces students to the long run evolution of financial markets and to the history of monetary policy and financial crises.\n\nThe course covers the two waves of financial globalization of 1880-1914 and 1980-2008 and the de-globalization of finance that happened during the Great Depression. A long run perspective on the 2008 financial crisis and Eurozone crisis will be provided through several historical case studies of stock market crashes, banking panics, currency crises and sovereign defaults. Finally, the course explores how central banks responded to financial crises in different historical periods and covers the main evolutions in monetary policy over the last two hundred years.\n\nThe course puts strong emphasis on how institutional and political factors shape the process of financial globalization and on how the structure of the international monetary system affects the conduct of monetary policy and the response to financial crises.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO210","London School of Economics and Political Science (LSE)","Introduction to Econometrics","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC212","Programme structure:\nSimple Regression Analysis\nProperties of Regression Coefficients and Hypothesis Testing\nMultiple Regression Analysis\nTransformation of Variables\nSpecification of Regression Variables\nHeteroscedasticity\nStochastic Regressors and Measurement Errors\nSimultaneous Equations Estimation\nModelling Dynamic Processes\nAutocorrelation\nLogit and Probit (binary choice models)","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO211","London School of Economics and Political Science (LSE)","International Economics","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC351","This course provides an analysis of the economic relationships between countries, covering both trade and monetary issues.\nThe course deals with international trade theory and policy. It focuses on a number of classic questions such as: Why do countries trade with each other? What are the effects of trade on welfare and the income distribution? What are the effects of various barriers to trade and economic integration? Students will also look at recent work on the role of firm heterogeneity in international trade and the links between globalisation and inequality. The course considers international macroeconomic issues. This part of the course starts by laying out the balance of payments accounts and open economy income identities. The course then focuses on some of the key questions in open economy macroeconomics and relates them to current events and policy issues.  ","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO227","London School of Economics and Political Science (LSE)","Essential Statistics for Economics and Econometrics","Londýn, Veľká Británia",14,19,"2019-06-17","2019-07-05","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME116","This is an introductory course on probability and statistics, with examples to demonstrate their applications in the social and natural sciences. \n\nThere will be a strong emphasis on the fundamental concepts of probability theory, random variables and their distributions, sampling theory, statistical inference, and linear regression. Inferential techniques such as estimation, hypothesis testing, and regression analysis are important in the fitting and interpretation of statistical models. Students will explore the mathematical background of these concepts and techniques, and demonstrate their use through practical examples and interactive experiments. ","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO212","London School of Economics and Political Science (LSE)","Introductory Macroeconomics","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC102","This course takes both a short and a long-term view of the economy, and aims to help understand recent developments in macroeconomics using graphic analysis and simple algebra.\nIt focuses on the stylised facts of business cycle fluctuations, economic growth and unemployment; discusses what light modern macroeconomics can shed on these facts; and finally evaluates the scope for policy to improve macroeconomic performance.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO213","London School of Economics and Political Science (LSE)","Introduction to Behavioural Economics","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC200","This course will provide students with a clear introduction to the principles and methods of Behavioural Economics. Behavioural economics considers the ways that people are more social, more impulsive, less adept at using information, and more susceptible to psychological biases than the standard economic models assume.  We will explore key departures, and the consequences for individuals, firms, and policy.\n-          To provide students with an introduction to the principles and methods of Behavioural Economics.\n-          To provide an overview of how behavioural principles have been applied to economic problems bo","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","",2,1,"Pokročilým","Na kurze prevažovala teória. Účastník kurz celkovo hodnotil pozitívne. (Hodnotenie kurzu bolo ovplyvnené zmenou prednášajúceho z dôvodu choroby, čo sa odrazilo na odbornosti.)"]
["LO214","London School of Economics and Political Science (LSE)","Intermediate Macroeconomics","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC202","This course aims to bring you up to date with modern developments in macroeconomic theory and offer fresh perspectives on the macroeconomic challenges of the day. \n\nThe course is essentially structured around a series of key questions:\nWhat are the forces that drive long-term prosperity?\nWhat are the features of labour markets that make them special, and why does unemployment occur?\nHow should households and firms make plans for the future?\nWhat are the consequences of high levels of government debt?\nWhat are central banks and how do they control interest rates?\nWhat are the functions of financial markets, and why are financial crises so violent?\nWhy does economic activity fluctuate and what does austerity have to do with recessions?\nCan fiscal and monetary policy fine-tune the economy? \nThe approach of the course is to discuss the salient features of the data and then go on to present macroeconomic models to study these issues.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO215","London School of Economics and Political Science (LSE)","Environmental Economics & Sustainable Development","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC240","Environmental economics is a comparatively young, but by now well-established, branch of economic study.\n\nIn successfully applying standard microeconomic analysis to the field of the natural environment and sustainable development, economists have challenged many erroneous, but strongly held preconceptions of policy makers and environmentalists alike. For example, the course will show that the efficient level of environmental pollution is, in general, not zero and that there is no risk of running out of fossil fuel non-renewable resources any time soon.\n\nConversely, however, policy makers fail to understand the fundamental drivers behind renewable resource extinction (particularly species loss), are over-optimistic when it comes to the environmental consequences of economic growth and insufficiently grasp the obstacles toward achieving strong multilateral agreements for solving international and global environmental problems.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO216","London School of Economics and Political Science (LSE)","The Political Economy of Public Policy","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC260","This course enhances a student’s understanding of the characteristics, determinants and consequences of public-policy making in liberal democracies. \n\nIt provides theoretical foundations from both economics and political science, whilst developing an expansive knowledge of theoretical and applied areas of political economy.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO217","London School of Economics and Political Science (LSE)","Public Finance","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC270","This course provides a broad, up-to-date introduction to the economic analysis of public policy issues.\nThe focus of the course, which draws on microeconomic theory, is on the development of analytical tools and their application to key policy issues relating to the spending, taxing and financing activities of government. Particular emphasis is given to recent developments in public economics, including findings from current research, in areas such as behavioural public economics, new empirical methods and policy innovations.\nThe course aims to give students an appreciation of the analytical methods in economics for the study of the public sector and the role of the state in principle and in practice; to provide a thorough grounding in the principles underlying the role of the state, the design of social insurance and the welfare state and the design of the tax system and to enable students to understand the practical problems involved in implementing these principles.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO218","London School of Economics and Political Science (LSE)","Development Economics","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC307","This course will use all the skills students have developed as an economists to try answer important economic questions. Providing an answer is hard because solving the problem of world poverty is not as simple as reallocating income.\n\nIn short, solving world poverty requires finding places where an intervention can generate more in income than it costs. \n\nTheory tells us when markets will fail and we use econometrics analysis to find these places in the real world. Finally, we use rigorous impact evaluation to find out whether the intervention implied by theory works. Course will teach students all the tools they need to apply this thinking.\n\nProgramme structure:\nThe Neo-classical Model and Convergence of Income\nCoordination and Persistent Poverty\nCredit, Inequality in the Divergence of Incomes\nThe Psychology of Poverty\nHealth and Nutrition\nThe Role of Institutions in Development\nPolitical Economy and Corruption\nProperty Rights and Investment Incentives\nInternational Aid and Economic Growth\nMicrofinance\nCredit, Saving and Insurance\nLand Redistribution\nRole of Media and Policy in Development\nSocial Networks and Social Capital\nRole Regulation in Development\nIntrahousehold Allocations and Gender\nTechnology Adoption and Learning","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO219","London School of Economics and Political Science (LSE)","Applied Econometrics and Big Data","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC320","This course will provide a solid grounding in recent developments in applied micro-econometrics, including state-of-the art methods of applied econometric analysis.\nThe course will combine both analytical and computer-based (data) material to enable students to gain practical experience in analysing a wide variety of econometric problems. It will also discuss how modern data science approaches can be used to answer important economic questions. Students will be reading various applied economic papers which apply the techniques being taught. Applications that will be considered include labour, development, industrial organisation and finance.\n\nThe topics include analysis of matching methods, identification of average, local average and marginal treatment effects using instrumental variables, regression discontinuity, randomised control experiments, post-estimation diagnostics, cross section and panel data with static and dynamic models, binary choice models and binary classification methods in machine learning, maximum likelihood estimation, ridge regression, lasso regression, and principal component regression.\nLectures are complemented with computing exercises using real data in R or Stata.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO220","London School of Economics and Political Science (LSE)","Industrial Organisation & Introduction to Competition Policy","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC341","Industrial organisation is concerned with the use of economic analysis in studying competition between firms and the evolution of market structure. This course will focus on understanding the way firms make decisions and the effects of those decisions on market outcomes like prices, quantities, the type of products offered, and social welfare.\n\nThe topics covered in this course span a wide range of issues, from predatory pricing to cartel stability, and from the role of non-price competition to the evolution of high technology industries.\n\nThe theoretical models introduced in the lectures will be applied in classes devoted to case studies of specific industries and to some antitrust court cases.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO228","London School of Economics and Political Science (LSE)","Further Statistics for Economics and Econometrics","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME117","The course provides a precise and accurate treatment of probability, distribution theory and statistical inference.\nAs such there will be a strong emphasis on mathematical statistics as important discrete and continuous probability distributions are covered (such as the Binomial, Poisson, Uniform, Exponential and Normal distributions). Properties of these distributions will be investigated including use of the moment generating function.\n\nPoint estimation techniques are discussed including method of moments, maximum likelihood and least squares estimation. Statistical hypothesis testing and confidence interval construction follow, along with non-parametric and goodness-of-fit tests and contingency tables. A treatment of linear regression models, featuring the interpretation of computer-generated regression output and implications for prediction, rounds off the course.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO229","London School of Economics and Political Science (LSE)","Real Analysis","Londýn, Veľká Británia",15,19,"2019-07-08","2019-07-26","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME306","In this course we shall develop concepts such as convergence, continuity, completeness, compactness and convexity in the settings of real numbers, Euclidean spaces, and more general metric spaces.\nA considerable part of economic theory is difficult to follow without a strong background in real analysis. For example, the concepts of compactness and convexity play an important role in optimisation theory and thus in microeconomics.  ","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO221","London School of Economics and Political Science (LSE)","Introductory Microeconomics","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC101","This course seeks to introduce microeconomic analysis as a way of understanding the world. It exposes students to standard microeconomic theory with a focus on the development of economic intuition, whilst also providing certain economic tools that support this intuition along the way.\n\nThe microeconomic mind-set helps students thinking about issues that are relevant empirically and for policy.\n\nThe course is aimed primarily at those who have not previously studied economics. It provides a foundation for further study in economics, but is sufficiently self-contained to provide grounding for those who do not intend to take the subject any further.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO222","London School of Economics and Political Science (LSE)","Introduction to Econometrics","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC212","Programme structure:\nSimple Regression Analysis\nProperties of Regression Coefficients and Hypothesis Testing\nMultiple Regression Analysis\nTransformation of Variables\nSpecification of Regression Variables\nHeteroscedasticity\nStochastic Regressors and Measurement Errors\nSimultaneous Equations Estimation\nModelling Dynamic Processes\nAutocorrelation\nLogit and Probit (binary choice models)","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO223","London School of Economics and Political Science (LSE)","Economics of European Integration","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC235","This course introduces the main economic aspects of the current development of the European Union (EU) and its policies. The course covers the process of European Integration and its economic impacts on individuals, firms and regions.\n\nSpecial attention will be devoted to the analysis of the economic opportunities and challenges generated by economic integration, and to the assessment of the policies designed to support this process and mitigate its potential side-effects. \n\nThe course will touch on the institutional, political and historical background of European integration, though its main focus is on the economic analysis of the policies and prospects for the European Union. Some recent developments in the international policy agenda like sovereign debt crises, Brexit and the euro crisis will also be covered.\n","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO224","London School of Economics and Political Science (LSE)","Advanced Econometrics","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC312","This course will present an advanced treatment of econometric principles for cross-sectional, panel and time-series data sets.\nWhile concentrating on linear models, some non-linear cases will also be discussed, notably limited dependent variable models and generalised methods of moments.\nThe course focuses on modern econometric techniques, addressing both technical derivations and practical applications. Applications in the areas of microeconomics, macroeconomics and finance will be considered.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","",2,1,"","Kurz sa venoval ekonometrii (OLS; GLS; MLE; Časové rady, nestacionarita a kointegrácia; Endogenita; IV modely; GMM, Panelové dáta, Úvod do kvintilových regresií). Každý deň je rozdelený do 2 častí - doobeda teória, poobede cvičenia. Kurz pokrýva pokročilé metódy v ekonometrii a čiastočne aj oblasť panelových dát. Navyše núti k priebežnému učeniu, keďže účastník absolvuje 2 skúšky."]
["LO225","London School of Economics and Political Science (LSE)","Money and Banking","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC321","This course aims to bring participants up to date with modern theories of money and banking and recent developments in the analysis of monetary policy.\n\nWhat are the causes of inflation and deflation? What tools do central banks have, and how does monetary policy affect the economy? How do financial markets work, and why are financial intermediaries needed? In order to answer these and related questions, this course provides a set of tools to analyse monetary policy and the financial sector. The course will combine a study of the relevant theory with applications to recent events and policy debates.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO226","London School of Economics and Political Science (LSE)","Introductory Macroeconomics","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Economics/EC102","This course takes both a short and a long-term view of the economy, and aims to help understand recent developments in macroeconomics using graphic analysis and simple algebra.\nIt focuses on the stylised facts of business cycle fluctuations, economic growth and unemployment; discusses what light modern macroeconomics can shed on these facts; and finally evaluates the scope for policy to improve macroeconomic performance.","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LO230","London School of Economics and Political Science (LSE)","Introduction to Data Science and Machine Learning","Londýn, Veľká Británia",15,19,"2019-07-29","2019-08-16","3 300 GBP",null,"https://www.lse.ac.uk/study-at-lse/Summer-Schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME314","This course integrates prior training in quantitative methods (statistics) and coding with substantive expertise and introduces the fundamental concepts and techniques of Data Science and Big Data Analytics.\n\nData Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. ","Students taking more than one course will be eligible for discounted rates as outlined below","nie","áno","","","","",""]
["LH001","London School of Hygiene and Tropical Medicine","Advanced Stata: Programming and other techniques to make your life easier","Londýn, Veľká Británia",5,5,"2019-11-04","2019-11-08","1395 GBP","2019-10-04","https://www.lshtm.ac.uk/study/courses/short-courses/advanced-stata#overview","The course can be divided broadly into three sections:\nData handling and manipulation\nStata has some powerful but simple commands for managing and manipulating data. We cover the commands needed to combine data from different datasets (appending and merging) and to rearrange data from wide format to long format. We will also cover searching for duplicate records, and managing these, reordering the variables in the dataset, generating summary variables and summary datasets.\n\nExport and presentation of results\n\nA general shortcoming of statistical software is the difficulty of producing bespoke and well-formatted results. The output in the Stata results window typically contains more detail than is required, and needs further formatting. Cutting and pasting is tedious when there are many results to present and inefficient when analyses have to be repeated.\n\nIt is possible to automatically output well formatted, concise and relevant results from Stata and there are number of ways to do this.  Stata has excellent graph capabilities and we show you how to make the most of these.  We teach a variety of methods to send the results you require, nicely formatted, to other datasets, to documents and spreadsheets and to text files.   This includes the use of commands within Stata, additional user-written Stata commands and some simple programming.\n\nProgramming Stata\n\nData cleaning, data management and the initial stages of many analyses can be repetitive and time consuming. Many of these repetitive tasks can be automated in Stata, which not only speeds up the process but also reduces the chances of making an error. We cover the use of basic programming techniques to assist you in quickly and efficiently carrying out repetitive tasks.  We also teach you to write a Stata program to create new Stata commands.",null,"nie","nie","","","","",""]
["MA233","Massachusetts Institute of Technology (MIT)","Discrete choice analysis: Predicting individual behavior and market demand","Cambridge, USA",{"$f":"NETWORKDAYS(G185,H185,sviatky)","v":5},{"$f":"_xlfn.DAYS(H185,G185)+1","v":5},"2019-06-10","2019-06-14","4 900 USD",null,"https://professional.mit.edu/programs/short-programs/discrete-choice-analysis","Participant Takeaways:\nUnderstanding discrete choice models and their applications.\nLearning to apply new discrete choice techniques.\nUnderstanding problems of data collection, model formulation, estimation, testing, and forecasting, as learned through case studies of discrete choice methods.\nUtilizing commonly available software to estimate and test discrete choice models from real databases.","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["MA231","Massachusetts Institute of Technology (MIT)","Machine learning for big data and text processing: Foundations","Cambridge, USA",2,2,"2019-06-17","2019-06-18","2 500 USD",null,"https://professional.mit.edu/programs/short-programs/machine-learning-big-data","Participant Takeaways:\nUnderstand the basic machine learning concepts and methods including neural networks\nLearn how to formulate/set up problems as machine learning tasks\nAssess which types of methods are likely to be useful for a given class of problems\nUnderstand strengths and weakness of learning algorithms","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["MA232","Massachusetts Institute of Technology (MIT)","Advanced machine learning for big data and text processing","Cambridge, USA",3,3,"2019-06-19","2019-06-21","3 000 USD",null,"https://professional.mit.edu/programs/short-programs/advanced-machine-learning","Participant Takeaways:\nUnderstand broad opportunities for automation with machine learning\nOutline key aspects of practical problems that are likely to impact performance\nExplore modern natural language processing tools, formulations, and problems\nBe able to discuss scaling issues (amount of data, dimensionality, storage, and computation)\nSee through the process of applying machine learning methods in practice, foresee likely hurdles and possible remedies\nGrasp what predictive analytics often does not provide\nUnderstand current machine learning trends and opportunities that they bring","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["MA234","Massachusetts Institute of Technology (MIT)","Machine learning for healthcare","Cambridge, USA",2,2,"2019-06-24","2019-06-25","2 500 USD",null,"https://professional.mit.edu/programs/short-programs/machine-learning-healthcare","Participant Takeaways:\nUnderstand current ML trends and opportunities that they bring in healthcare\nOutline practical problems that impact the application\nSee how to break down data silos between patients, providers and payers\nDiscover how to deploy ML to improve patient outcomes and/or impact the financial performance of your organization\nGrasp what predictive analytics often does not provide","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["MA235","Massachusetts Institute of Technology (MIT)","Data and models: Regression analytics","Cambridge, USA",5,5,"2019-07-08","2019-07-12","4 300 USD",null,"https://professional.mit.edu/programs/short-programs/data-and-models","Participant Takeaways:\nExamining how to fit data to models\nDefining linear least squares, non-linear least squares, singular value decomposition, sensitivity analysis, experiment design, and parameter error estimation\nAppreciating grid search, random search, simulated annealing, genetic algorithms, neural networks, and large inverse systems\nInvestigating principles leading to rapid application of methods\nEvaluating the results of pre-programmed computer exercises","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","",3,1,"Pokročilým","Kurz je kvalitný, ale z obsahovej stránky je vhodný skôr pre výskumníkov. Účastník z tohto dôvodu nebol spokojný s výberom kurzu."]
["MA236","Massachusetts Institute of Technology (MIT)","Understanding and predicting technological innovation: New data and theory","Cambridge, USA",5,5,"2019-07-22","2019-07-26","4 100 USD",null,"https://professional.mit.edu/programs/short-programs/understanding-predicting-technological-innovation","Participant Takeaways:\nDeveloping understanding of how large data sets at various levels of detail can be used to gain insight on the dynamics of technological innovation\nLearning how to compare the rate of progress of various technologies and products\nUnderstanding the state of the art in theories of technological innovation, and their utility for particular questions faced in private industry and the public sector\nLearning how to apply data analysis and theory to guide investment and design decisions\nGaining insight on technological innovation-related decisions faced in designing financial portfolios, research and development portfolios, and public policy","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["MA237","Massachusetts Institute of Technology (MIT)","Design and analysis of experiments","Cambridge, USA",5,5,"2019-07-29","2019-08-02","4 300 USD",null,"https://professional.mit.edu/programs/short-programs/design-and-analysis-experiments","Participant Takeaways:\nDescribe how to design experiments, carry them out, and analyze the data they yield.\nUnderstand the process of designing an experiment including factorial and fractional factorial designs.\nExamine how a factorial design allows cost reduction, increases efficiency of experimentation, and reveals the essential nature of a process; and discuss its advantages to those who conduct the experiments as well as those to whom the results are reported.\nInvestigate the logic of hypothesis testing, including analysis of variance and the detailed analysis of experimental data.\nFormulate understanding of the subject using real examples, including experimentation in the social and economic sciences.\nIntroduce Taguchi methods, and compare and contrast them with more traditional techniques.\nLearn the technique of regression analysis, and how it compares and contrasts with other techniques studied in the course.\nUnderstand the role of response surface methodology and its basic underpinnings.\nGain an understanding of how the analysis of experimental design data is carried out using the most common software packages.","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["MA238","Massachusetts Institute of Technology (MIT)","Transportation networks and smart mobility: Methods and solutions","Cambridge, USA",5,5,"2019-08-05","2019-08-09","3 600 USD",null,"https://professional.mit.edu/programs/short-programs/transportation-networks","Participant Takeaways:\nUnderstand transportation network demand and supply models.\nDistinguish among alternative approaches to dynamic traffic assignment and traffic simulation.\nAssess the advantages and disadvantages of alternative network modeling and simulation methods.","It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.","nie","nie","","","","",""]
["PA239","Paris School of Economics","MACROECONOMICS - Macroeconomic Analysis and Policy","Paríž, Francúzsko",5,5,"2019-06-17","2019-06-21","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/macroeconomics/","Course deals with topics at the frontier of policy-relevant research: monetary and fiscal policy; heterogeneous households, inequality and redistribution (“HANK” models); financial crises; bubbles; labor markets and unemployment; and international linkages.\n\nThe cours is taught by leading research and teaching figures in their respective fields. Emphasis is put on introducing tools and developing intuition. The course reviews core, standard models useful for understanding crises and recessions, and the role of policy therein.","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PA240","Paris School of Economics","MICROECONOMETRICS and Policy Evaluation","Paríž, Francúzsko",5,5,"2019-06-17","2019-06-21","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/microeconometrics/","The course introduces the main methods currently used for program evaluation. Students will also attend practice classes in STATA, according to their level of proficiency (intermediate versus advanced). Student presentations will also complement the courses (allocation of these slots is competitive on the basis of the paper’s quality).\n\nThe courses are designed for graduate students wishing to gain additional skills in applied microeconometrics for policy evaluation, as well as for researchers and professionals in public and private institutions who work on impact evaluation.","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,1,2,"Pokročilým","Kurz bol organizačne veľmi dobre zvládnutý a vedený odborníkmi. Celkovo je kurz navrhnutý na poskytnutie veľkého množstva informácií (viacero štatistických metód). Všetky materiály boli poskytnuté. V rámci kurzu je v kolektívoch spracovaná prezentácia, v ktorej je aplikovaná jedna z metód kurzu. Na hodinách kódovania potom nebolo dosť času na aplikáciu metód v State. "]
["PA247","Paris School of Economics","CLIMATE CHANGE - Impacts, adaptation and political constraints","Paríž, Francúzsko",5,5,"2019-06-17","2019-06-21","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/climate-change/","This summer school program aims at teaching participants the cutting-edge research on the topic of climate change impact on the economy and to familiarize them with the relevant methods to analyze the issue (econometric analysis, dynamic modelling).\n\nThe objective of the course is to equip the participants with the background and tools needed as a researcher to contribute to this dynamic field. \nThe main questions covered: How do we measure the impacts of climate change on economic outcomes? What are the relevant economic instruments to combat climate change in a globalized world? How can migration and trade help countries and individuals mitigate the impacts of climate change and/or disasters? How do lobbying and information acquisition influence the actual climate policies?","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PA241","Paris School of Economics","BOUNDED RATIONALITY AND BEHAVIORAL ECONOMICS - Advances in behavioral game theory and decision theory","Paríž, Francúzsko",5,5,"2019-06-24","2019-06-28","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/bounded-rationality-and-behavioral-economics/","Standard economics has been the subject of many critiques. Mainstream economic models and analysis rely on a level of sophistication that is hard to justify from an introspective viewpoint but also considering the large body of experimental evidence. Recent years have witnessed a flurry of alternative approaches. The programme proposes reviewing a large body of these approaches, with the goal of stimulating new research both theoretical and applied.","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PA242","Paris School of Economics","DEVELOPMENT - Inequality, social interactions and institutional dynamics","Paríž, Francúzsko",5,5,"2019-06-24","2019-06-28","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/development/","This course takes stock of existing research and moves on to draw the outline of the current research frontier about institutions and social frictions (associated with inequalities, political conflicts, corruption, and cultural polarization) have emerged as central themes in development economics. . How do institutions shape the development process? How do understudied informal institutions, such as identities and customs, interact with formal institutions? How do we interpret recent trends in inequality within low- and middle-income countries?\n\nThe programme approaches these questions by drawing on formal theory and rigorous empirical research in two core modules: “Inequality and development” and “Models of Cultural Dynamics and Social Identity”. In addition, three shorter modules develop empirical applications of the core course themes. These modules cover the role of historical legacies, civil conflict, corruption, and media in economic development. ","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PA243","Paris School of Economics","EXPERIMENTAL ECONOMICS - Empirical tools and methods to investigate economic behavior","Paríž, Francúzsko",5,5,"2019-06-24","2019-06-28","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/experimental-economics/","The objective of the Experimental Economics program is to offer young scholars a crash course in empirical methods aimed at understanding economic behavior: how to design, implement and analyze an experiment so to answer a research question. The summer school is methodological in nature, although typical results from behavioral economics will be introduced as examples and illustrations on how protocols are designed to overcome observation/measurement/identification issues. Participants will be trained in the aim of being able to soundly rely on experiments in their future research projects.\n\nThe program is divided in four parts: a series of general lectures on experimental methodology, a series of specialized classes on specific methodological topics and workshop sessions where participants present and refine their experimental projects, with feedback from the school’s speakers.","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PA244","Paris School of Economics","HEALTH AND HAPPINESS - From Income and Inequality to Health and Happiness","Paríž, Francúzsko",5,5,"2019-06-24","2019-06-28","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/health-happiness/","The summer school will be centered around health, happiness, income, and income inequality. Individual health and happiness measures are closely related. \nThis program, that studies health and happiness together, is designed to provide (1) an overview of health and happiness measures, focusing on subjective data and on Big Data, and (2) a discussion of the effect of income and income inequality on health and happiness, at the frontier of economic research. Following set of questions will be adressed: What is the relationship between health and happiness? Are subjective measures biased? If they are, what are the pros and cons of correcting them? How is Big Data changing academic research on health and well-being? Why does raising the incomes of all does not increase the happiness of all? How do economic conditions and income inequality influence health and well-being?","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PA245","Paris School of Economics","MIGRATION ECONOMICS - Development impacts of migration and challenges in global labor markets","Paríž, Francúzsko",5,5,"2019-06-24","2019-06-28","2 000 EUR","2019-05-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/migration-economics/","This course aims to present the cutting-edge research on the economics of migration and to provide the tools to contribute to this field. The course is focused on the challenge of identifying the microeconomic impacts of migration. It discusses the various channels through which migration has a measurable impact on the migrant household, the key obstacles to being able to attribute effects to migration itself, and different empirical methods that can be used to identify the impacts of migration.\nNext, studies the relationship between globalization and development. It analyzes how migration affects other dimensions of globalization, such as trade, FDI, technology diffusion and the transmission of socio-cultural norms. Course focuses on the public finance and demographic effect of immigration for the host countries and investigates the barriers to immigrants’ assimilation.\nIn terms of methodology, the course combines theoretical modeling in the migration literature with the most recent and rigorous empirical evidence","A 10% discount applies for participants who pay before March 10, 2019. For sponsored candidates : purchase orders are not considered payment.","nie","nie",1,"","","",""]
["PT001","PTV Group","Introduction to macroscopic network modelling","Birmingham, Veľká Británia",2,3,"2019-04-29","2019-05-01","1215 GBP",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Visum/EN/TR-T0101-EN_PTV-Visum-Introduction-to-macroscopic-network-modelling_v20181026.pdf","On this course participnts will learn how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. Course will cquaint participants with the description of procedure sequences for private transport assignment as well as a common procedure for public trasport assignment. On the course is used the PTV Visum Scenario manager to illustrate how to construct a base scenario and multiple planning scenarios and how to work with these scenarios.","Cena v režime Early bird. ","nie","nie","","","","",""]
["PT002","PTV Group","Introduction to Microscopic Traffic Flow Simulation","Birmingham, Veľká Británia",2,2,"2019-05-02","2019-05-03","810 GBP",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Vissim/EN/TR-T0201-EN_PTV-Vissim-Introduction-to-microscopic-Traffic-Flow-Simulation_v20181029.pdf","On this course participants will learn how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. Course will cquaint participants with the description of procedure sequences for private transport assignment as well as a common procedure for public trasport assignment. On the course is used the PTV Visum Scenario manager to illustrate how to construct a base scenario and multiple planning scenarios and how to work with these scenarios.","Cena v režime Early bird. ","nie","nie","","","","",""]
["PT003","PTV Group","Creating a macroscopic 4 step transport model","Karlsruhe, Nemecko",2,2,"2019-05-14","2019-05-15","964 EUR",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Visum/EN/TR-T0109-EN_PTV-Visum-Creating-a-macroscopic-4-step-transport-model_v20181026.pdf","This course introduce participants to the various modelling methods. After describing all demand models available in PTV Visum, the course covers in detail the subjects of model segmentation, data supply, calibration and validation.","Cena v režime Early bird. ","nie","nie","","","","",""]
["PT004","PTV Group","Demand model Visem","Karlsruhe, Nemecko",1,1,"2019-05-16","2019-05-16","482 EUR",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Visum/EN/TR-T0116-EN-PTV-Visum-Demand-Model-Visem_v20181122.pdf","This course introduce participants to the principles of the demand model Visum, its data structure and model architecture. The subjects of model segmentattion, data supply, calibration and validation will be discussed and practiced on a Visem training model.","Cena v režime Early bird. ","nie","nie","","","","",""]
["PT005","PTV Group","Introduction to macroscopic network modelling","Karlsruhe, Nemecko",3,3,"2019-06-03","2019-06-05","1446 EUR",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Visum/EN/TR-T0101-EN_PTV-Visum-Introduction-to-macroscopic-network-modelling_v20181026.pdf","This course teaches participants how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. The course will acquaint participants with the description of procedure sequences including the procedure for public transport assignment. PTV Visum Scenario will be used.  ","Cena v režime Early bird. ","nie","nie","","","","",""]
["PT006","PTV Group","Introduction to public transport modelling","Karlsruhe, Nemecko",1,1,"2019-06-06","2019-06-06","482 EUR",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Visum/EN/TR-T0102-EN_PTV-Visum-Introduction-to-public-transport-modelling_v20181026.pdf","This course teaches fundamentals of the public transport supply modelling. Moreover, how to connect the public transport demand and supply in PTV Visum will be explained.","Cena v režime Early bird. ","nie","nie","","","","",""]
["PT007","PTV Group","Introduction to Traffic Analysis with PTV Vistro","Karlsruhe, Nemecko",1,1,"2019-12-02","2019-12-02","482 EUR",null,"http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/9_Traffic_Trainings/Vistro/EN/TR-T0301-EN_PTV-Vistro-Introduction-to-Traffic-Analysis-with-PTV-Vistro_v20181102.pdf","This course teaches participants how to conduct traffic studies, evaluate development impacts and optimize signals all with a single package. Participants will work with interactive examples of intersections, corridors, networks and development scenarios.","Cena v režime Early bird. ","nie","nie","","","","",""]
["RU001","Radboud Universiteit Nijmegen","Introduction to Data Science with R and Rstudio for the Social Sciences","Nijmegen, Holandsko",5,5,"2019-07-08","2019-07-12","550 EUR","2019-05-01","https://www.ru.nl/radboudsummerschool/courses/2019/introduction-data-science-rstudio-social-sciences/","Topics that will be discussed in the course are:\n\nReading and cleaning data,\nDescriptive analysis (central tendency measures, correlations) and visualization (barcharts, histograms, scatterplots etc),\nMultivariate analysis and scale construction (e.g. factor analysis, component analysis, correspondence analysis, Mokken analysis),\nRegression analysis (choosing the right model, testing for model assumptions),\nNetwork analysis (network indicators, visualization)\n\nThe course will be a hands-on course, meaning participants will actively work with R and Rstudio, working on assignments.",null,"nie","nie","","","","",""]
["RU003","Radboud Universiteit Nijmegen","Migrant Inclusion in Policy and Practice","Nijmegen, Holandsko",5,5,"2019-07-08","2019-07-12","550 EUR","2019-05-01","https://www.ru.nl/radboudsummerschool/courses/2019/migrant-inclusion-policy-practice/","This interdisciplinary course will equip participants with expert knowledge and critical thinking skills relating to the ways in which social and economic dimensions shape one of today’s most debated issues: migrant inclusion policies and practices.\n\nParticipants will learn to approach migrant inclusion from an interdisciplinary perspective and will provide an introduction to three domains of inclusion: (1) economic integration; (2) social integration; and (3) equality in public service provision. Lecturers come from the disciplines of Law, Management, Medicine, and Human Geography. Taking an interdisciplinary, critical perspective they will discuss the design, implementation and evaluation of effective policies and interventions.",null,"nie","nie","","","","",""]
["RU002","Radboud Universiteit Nijmegen","Experiments in Behavioural Economics: Methodology and Applications","Nijmegen, Holandsko",5,5,"2019-08-05","2019-08-09","600 EUR","2019-06-01","https://www.ru.nl/radboudsummerschool/courses/2019/experiments-behavioural-economics-methodology/","During the course it will be reconciled theory and practice: participants will see how mental and emotional filters shape the choice people make personally and as a group within experimental setup and via social networks. \n\nThe topics discussed during the course will be:\n\nHomo Economicus concept revision: rationality vs egoistic behavior. Constraints revision: are there only time and budget constraints?\nWhy economics needs psychology. Emotions, cognitive schemes; \nInteractive experiment;\nDiscussion of the results of the experiment. Public good game basic setup: what new? Trust, prosocial and antisocial punishment. Disctator and Ultimatum games - main results and real life applications;\nLab experiments methodology: (a) data collection and exploration; clustering and regression in public good dames, linear regression and Dictator and Ultimatum games, statistical sampling;\nHeuristics: main findings from behavioral economics literature;\nDecisions under uncertainty and probabilistic mistakes, robust methods;\nNudges: a novel approach to lawmaking or a manipulation? Hypothesis testing;\nWellbeing and happiness: behavioral economics approach; classifying behaviors.",null,"nie","nie","","","","",""]
["RU004","Radboud Universiteit Nijmegen","Quantitative Data Analysis with R","Nijmegen, Holandsko",5,5,"2019-08-05","2019-08-09","600 EUR","2019-06-01","https://www.ru.nl/radboudsummerschool/courses/2019/quantitative-data-analysis/","This is an essential crash course for those who need to perform quantitative data analysis, from descriptive statistics up to regressions, and want to do it in open-source R software (with RStudio).\n\nWithin this course, participants will learn how to describe a data set, visualise it, and model relationships between variables in R. The focus will be on the way to process data, types of objects and variables, and standard practices and packages for data analysis in R. The course finishes up with regressions, so that you can practice one of the most widely used types of statistical models.",null,"nie","nie","","","","",""]
["RB001","Ruhr-University Bochum","Behavioral Economics In Theory","Bochum, Nemecko",3,3,"2019-09-02","2019-09-04","95 EUR","2019-04-30","https://www.noebb.de/summer-school-methods-2019/","The course gives an introduction to Behavioural Economics. We will discuss alternatives to standard rational choice theory, covering areas such as social preferences, decisions under risk and uncertainty and preferences anomalies. The applied part of the course will cover basics of experimental design and a hands-on demonstration of a software package used for economic lab experiments. Further, participants are introduced to insights of cultural evolution theory and gain a deeper understanding of the cultural roots of human cognition and its impact on decision-making.",null,"nie","nie","","","","",""]
["RB002","Ruhr-University Bochum","Agent-Based Modeling","Bochum, Nemecko",3,3,"2019-09-02","2019-09-04","95 EUR","2019-04-30","https://www.noebb.de/summer-school-methods-2019/","The participants of this course will learn to incorporate the insights from complexity economics into (macro-) economic agent-based models (ABMs). In contrast to standard equilibrium models, ABMs view agents as heterogeneous, boundedly rational, interacting individuals. Besides learning the essential concepts of ABM, this course provides students with the programming skills  needed to implement their ideas in computer code via NetLogo.",null,"nie","nie","","","","",""]
["RB003","Ruhr-University Bochum","Data Science","Bochum, Nemecko",3,3,"2019-09-02","2019-09-04","95 EUR","2019-04-30","https://www.noebb.de/summer-school-methods-2019/","This course will train participants in the main concepts of data science and text mining in particular. Text mining is the process of analyzing collections of textual materials in order to capture key concepts and themes and uncover hidden relationships and trends without the requirement of knowing the precise words or terms that authors have used to express those concepts. Among other techniques, the classes cover text crawling and frequency analysis, basic lexicometrics, term extraction, (un)supervised learning and basic topic models. The course\ncontains an introduction of the basic concepts as well as hands-on tutorials in R-Studio.",null,"nie","nie","","","","",""]
["SP001","SciencesPo","Public Economics: When Markets Need Governments","Paríž, Francúzsko",20,26,"2019-06-03","2019-06-28","2400 EUR","2019-04-15","http://www.sciencespo.fr/summer/content/public-economics","The course will begin with an in-class trading experiment to illustrate why simple markets for regular goods work efficiently and don’t require the intervention of the state. We will then discuss how the conditions of this experiment are quite specific and how many so-called market failures can arise, including four specific types of market failure. Regulation. ","Applicants must pay a 30 € application fee at the time of their application. The fee is payable online by credit card at the end of the application process. The application fee is non-refundable.","nie","nie","","","","",""]
["SP002","SciencesPo","Economic Analysis of Public Policy","Paríž, Francúzsko",18,25,"2019-07-02","2019-07-26","2400 EUR","2019-05-15","http://www.sciencespo.fr/summer/content/economic-analysis-public-policy","It will first describe the theoretical developments that aim at understanding economic consequences of policies. Then it will focus on the empirical tools to assess the impact of economic policies. Last it will present the institutions built by economists to actually influence economic decisions. Policy impact. ","Applicants must pay a 30 € application fee at the time of their application. The fee is payable online by credit card at the end of the application process. The application fee is non-refundable.","nie","nie","","","","",""]
["SP003","SciencesPo","Social Policies: Europe, the United States and the Politics of Welfare","Paríž, Francúzsko",18,25,"2019-07-02","2019-07-26","2400 EUR","2019-05-15","http://www.sciencespo.fr/summer/content/social-policies-europe-united-states-and-politics-welfare","The comparative analysis of social policies, programs and institutions helps us understand why, how and to what effect nations deal with important social problems and issues. The aim of the course is to provide students with a clear idea of the diversity of European social policies, of their historical and political origins, and to allow for the assessment of their performance. The course will also provide an in-depth account of current welfare reforms, in light of their historical development. Important social science analysis concepts (de-/re-commodification, path dependency, etc.) will also be used in order to understand the issues at stake in recent debates concerning the welfare state and the trajectories of their reforms. Social policy. ","Applicants must pay a 30 € application fee at the time of their application. The fee is payable online by credit card at the end of the application process. The application fee is non-refundable.","nie","nie","","","","",""]
["SI001","SIdE (Società Italiana di Econometria) ","Principles, ideas and theory in econometric time series","Bertinoro, Taliansko",5,6,"2019-06-17","2019-06-22","2 500 EUR","2019-05-30","https://www.side-iea.it/events/courses/principles-ideas-and-theory-econometric-time-series-2019","The course will be in two main parts: The first part discusses econometric methods and theory, which are applied in the second part, where selected topics from cointegration, statespace models, the bootstrap and multivariate ARCH models, as well as big data modelling will be discussed in detail from recent research.",null,"nie","nie","","","","",""]
["SI002","SIdE (Società Italiana di Econometria) ","Machine Learning Algorithms for Econometricians ","Bertinoro, Taliansko",5,6,"2019-07-15","2019-07-20","2 500 EUR","2019-05-30","https://www.side-iea.it/events/courses/machine-learning-algorithms-econometricians-2019","The course will present Machine Learning Techniques to econometricians. In particular, the lecturers will present various concepts intensively used in the Machine Learning literature such as cross-validation, bootstrap, optimization routines;\ndescribe and explain popular machine learning techniques such as random trees, random forests, boosting, neural nets and deep learning, and their natural extensions to time series analysis and causal inference.\n\nTopics covered:\nAlgorithms, bagging, boosting, bootstrap, cross-validation, LASSO, misspecification, neural networks, nonlinearities, optimization, overfit, penalization, R, random forests, regression, splines, trees...",null,"nie","nie","","","","",""]
["SI003","TalTech University","Summer School on Secure e-Governance (5 ECTS)","Talin, Estónsko",10,14,"2019-07-07","2019-07-20","1 400 EUR","2019-05-05","https://www.ttu.ee/projects/summer-and-winter-schools-2/summer-schools-4/secure-e-governace-2/","The idea of the course is to introduce e-Estonia from the government level and to give an overview of how things are rolling in the ICT sector in Estonia, the course also broadens the understanding of the value that e-services could provide for different stakeholders (citizens, public entities and privately held companies etc.) nationwide and internationally. As the business models and service ecosystems are shifting more into the networked world, both in the private and public sector, there is a strong need to understand the background of e-services from the idealization to realization. By the end of the course students will have at the very least pitched one e-service prototype to implement in the future.\n\nThe participants will have an understanding of: \n\nhow the public sector implements e-governance and applies service orientation; \nhow and why have business models and service ecosystems shifted into the networked world; \nhow security and legal frameworks relate to the e-governance; \nwhat should be considered while designing environments for the public services; \nhow to conduct changes and lead change management; \nthe background of e-services from the idealisation to realisation; \n(re)designing e-services in the public and private sector.",null,"nie","nie","","","","",""]
["TH246","The European Regional Science Association (ERSA)","ERSA Summer School 2019\nCities and regions in the process of transformation","Katowice, Poľsko",{"$f":"NETWORKDAYS(G221,H221,sviatky)","v":5},{"$f":"_xlfn.DAYS(H221,G221)+1","v":7},"2019-06-16","2019-06-22","250 EUR","2019-04-30","https://ersa.eventsair.com/2019-ersa-summer-school-katowice/","The Summer School will focus on the critical approach to the very catchy concepts that in particular need a careful theoretical framework. This includes geography of innovation vis a vis cities, conceptual underpinnings for smart cities, mechanisms of regional specialisation, as well as solid foundations for the economics of resilience.\nIt will particularly address the interaction between empirical, theoretical and policy analysis within the following topics, which include (but are not limited to): \n\nInnovation, entrepreneurship and urban/regional development\nICT, participation, governance and urban development\nCreativity, culture and urban development\nProximity effects in cities and regions\nKnowledge absorptive capacity in cities\nAdaptability and resilience in cities and regions\nSocial innovation and inclusive growth\nUrban agglomeration and knowledge economy\nSpatial development, growth and innovation\nSocial capital, institution and innovation\nReal estate, urban amenities and the diversity effects in cities\nRegional specialisation and growth\nSustainable development",null,"áno","nie","","","","",""]
["TU001","Tilburg University","Understanding Data with R: a hands-on workshop towards becoming a data-analyst","Tilburg, Holandsko",10,12,"2019-07-08","2019-07-19","1000 EUR","2019-05-31","https://www.tilburguniversity.edu/education/summerschool/academic-courses/understanding-data","By completing this course, you will:\nAcquire an understanding of the role of data in answering research questions, both in academics and in the industry;\nGain a basic understanding of the statistical programming language R, using RStudio;\nLearn how to manipulate data (e.g., renaming variables, removing cases, combining datasets);\nLearn how to create beautiful and insightful data visualizations that are relevant for answering the research question;\nLearn how to conduct statistical analyses (e.g., descriptives, correlations, regression);\nLearn how to write a report that answers a research question using the data.","10% early bird discount when registering before March 31st*","nie","áno","","","","",""]
["TI247","Timberlake Consultants","Spatial Cross-Section and Spatial Panel Data Econometrics using Stata","Londýn, Veľká Británia",2,2,"2019-03-21","2019-03-22","1 475 EUR",null,"https://www.timberlake.co.uk/spatial-cross-section-and-spatial-panel-data-econometrics-using-stata.html","This two-day course will explore two important topics in econometrics: spatial cross-section and spatial static and dynamic panel data models. Their estimation methods are described. Several empirical applications will be presented. This course will acquaint the participants with spatial cross-section and spatial panel data techniques. By the end of the two-day course participants should be able to prepare and define spatial data (especially the spatial matrix W) using Stata, estimate the spatial models (cross-section and panel), and conduct different testing procedures.",null,"nie","nie",2,"","","",""]
["TI248","Timberlake Consultants","Regression Analysis with Stata: A Hands-On Approach","Londýn, Veľká Británia",2,2,"2019-03-28","2019-03-29","660 EUR",null,"https://www.timberlake.co.uk/regression-analysis-with-stata-a-hands-on-approach.html","This course introduces linear regression, a powerful technique for studying relationships between quantitative variables. The course introduces commonly-used linear regression techniques using a combination of presentations and computer-based practicals, whereby theory is firmly placed into practice.\n\nParticipants will acquire an appreciation of how basic regression concepts can be extended easily to investigate more complex situations. They will also learn how to interpret computer output and to report results in non-statistical language, as well as a guide to the analysis of variance table.",null,"nie","nie",2,"","","",""]
["TI249","Timberlake Consultants","Data Management With Stata","Londýn, Veľká Británia",2,2,"2019-04-25","2019-04-26","1 477 EUR",null,"https://www.timberlake.co.uk/courses/data-management-with-stata.html","This two-day course covers an introduction to Stata and data management. Participants will learn to open datasets in Stata, inspect the data, change data and create variables, create simple graphs and tables, simple programming tools, and save the results and data in Stata and other formats.",null,"nie","nie",2,"","","",""]
["TI250","Timberlake Consultants","EViews Basics (2019 EViews Summer School)","Londýn, Veľká Británia",1,1,"2019-06-03","2019-06-03","540 EUR",null,"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html","The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.\n\nThecourse icludes topics:\nThe notions of “workfile” and “object” in EViews\nData handling and databases in EViews\nBrief introduction to programming and series transformations in EViews\nData description: creating, editing, freezing and exporting graphs\nDescriptive statistics and tests.\nPreliminary theory for univariate regression: the classical linear regression model (CLRM), the CLRM assumptions, OLS estimation and regression statistics\nMisspecification analysis: theory revision and diagnostic tests in EViews, stability tests and solutions to the misspecification problems\nThe General-to-Specific (GETS) approach","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI251","Timberlake Consultants","Atheoretical Models in Eviews (2019 EViews Summer School)","Londýn, Veľká Británia",1,1,"2019-06-04","2019-06-04","540 EUR",null,"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html","The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.\n\nThe course deals with topics of:\nAtheoretical Models\nStatistical analysis of time series: definition of ARMA models, Box-Jenkins identification, trends and seasonality, filters\nStationarity and non stationarity: theory revision, the notion of unit roots, testing for unit roots in EViews, differencing series\nForecasting with ARMA models and measuring forecasting ability\nVAR representation and estimation\nFurther testing with multivariate regression: Granger causality, lag selection\nForecasting with VARs","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI252","Timberlake Consultants","Panel Data Models in Eviews (2019 EViews Summer School)","Londýn, Veľká Británia",1,1,"2019-06-05","2019-06-05","540 EUR",null,"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html","The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.\n\nThe course deals with topics:\nIntroduction to the notion stationarity and unit roots\nThe Dickey-Fuller test\nIntroduction to the notion of cointegration: preliminary theory and Engle-Granger analysis using EViews\nCointegrated VARs in EViews: Johansen’s test for cointegration, the (vector) error correction model (VECM), estimating and interpreting a VECM in EViews\nMultivariate Cointegration II: The VECM","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI253","Timberlake Consultants","Volatility Modelling and Forecasting (2019 EViews Summer School)","Londýn, Veľká Británia",1,1,"2019-06-06","2019-06-06","540 EUR",null,"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html","This course will deal with topics:\nArch models \nPreliminary theory, representation and description of the main models\nEstimation and regression output\nDifferent specifications\nRepresentation and estimation","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI254","Timberlake Consultants","Discrete Choice Models (2019 EViews Summer School)","Londýn, Veľká Británia",1,1,"2019-06-07","2019-06-07","540 EUR",null,"https://www.timberlake.co.uk/courses/training-eviews-summer-school-jun19.html","This course will deal with topics:\nProbit and Logit models\nPreliminary theory, representation and estimation\nInterpreting regression output\nForecasting\nProgramming in EViews \nPreliminary notions","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI255","Timberlake Consultants","Instrumental Variables and Structural Equation Modelling using Stata (UK)","Londýn, Veľká Británia",2,2,"2019-06-10","2019-06-11","1 477 EUR",null,"https://www.timberlake.co.uk/courses/ivsm-uk-19.html","This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity.\n\nParticipants will obtain extensive hands-on experience by working on real datasets examples from different social and biomedical sciences. Technical treatment of the subjects will be set out only to properly address real-world applications. \nDelegates will capitalize on visual intuitive graphical representations of causal links, as well as on traditional algebraic approach. The course will enable them to recognize IVs and design causal paths in their own studies, by understanding underlying assumptions in different fields of application.\n",null,"nie","nie",2,"","","",""]
["TI256","Timberlake Consultants","Panel Data Analysis Using Stata","Londýn, Veľká Británia",1,2,"2019-06-21","2019-06-22","547 EUR",null,"https://www.timberlake.co.uk/training-stata-panel-data-uk.html","This two-day course, taking place at Cass Business School, London, aims to provide participants with an in-depth background on panel data econometrics. Up-to-date treatment for a selection of major topics will be presented including endogeneity, serial correlation, stationarity and cointegration in addition to more traditional panel data techniques. All topics will be demonstrated with real life data in Stata.\n\nThis course targets practitioners and policy makers who are interested in gaining an in-depth knowledge of Panel Data techniques and learning how to use them in their current or future assignments.",null,"nie","nie",2,"","","",""]
["TI257","Timberlake Consultants","An Introduction to Stata (2019 Stata Summer School, London)","Londýn, Veľká Británia",1,1,"2019-07-01","2019-07-01","540 EUR",null,"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html","This course will be delivered interactively using the internationally used software package Stata 15.\n\nThis one-day introductory course is for people interested in using Stata for research. No prior knowledge of Stata is required.\n\nStata is an integrated statistical package used by researchers from many different disciplines. This course requires no prior knowledge of Stata but assumes an interest in research and in learning to use Stata. This course introduces you to the Stata working environment and to some of the essential data management and statistical tools.\n\nParticipants will be able to take away a set of course notes and data used on the course as well as files created throughout the day.","2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR","nie","nie",2,"","","",""]
["TI258","Timberlake Consultants","Advanced Data Management in Stata (2019 Stata Summer School, London)","Londýn, Veľká Británia",1,1,"2019-07-02","2019-07-02","540 EUR",null,"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html","In this one-day course participants will look at how to handle data of different types, e.g. continuous, categorical, string and dates. They will look at how to change the shape of a dataset e.g. transpose or collapse to create a summary dataset. Particpants will also learn some simple programming tools that will help them save time in their research.","2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR","nie","nie",2,"","","",""]
["TI259","Timberlake Consultants","An Introduction to Stata Graphics (2019 Stata Summer School, London)","Londýn, Veľká Británia",1,1,"2019-07-03","2019-07-03","540 EUR",null,"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html","This one-day introductory course introduces to the Stata working environment and to some of the essential data management and statistical tools.\n\nThe course includes:\nBrief overview of Stata’s statistical, graphical and data management capabilities; Introduction to the Stata working environment\nUsing Stata via the Graphical User Interface and the command window\nUnderstanding Stata’s command syntax\nIntroducing Stata’s online help facilities\nWorking efficiently with do-files\nSaving results output in a log file\nAn example data analysis project in Stata:\nLoading data into Stata from Excel\nLooking at data and checking for and correcting errors\nGenerating new variables\nCombining data files to create an analysis dataset\nGood housekeeping – labelling data\nDescriptive statistics: tables and figures\nHypothesis tests: t-test and chi-square test","2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR","nie","nie",2,"","","",""]
["TI260","Timberlake Consultants","An Introduction to Stata for Medical Statistics (2019 Stata Summer School, London)","Londýn, Veľká Británia",1,2,"2019-07-04","2019-07-05","540 EUR",null,"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html","This two day introductory statistics course is for those who would like to develop their statistical analysis skills.\n\nIn this two-day course participants will look at how to use Stata to analyse data that typically arises in medical research including continuous outcomes.  Particpants will look at how to fit appropriate models in Stata and how to interpret the resulting output. They will look at how to adjust for multiple explanatory variables, allow for interactions and how to obtain model predictions.\n\nThe examples used throughout will be from the field of medical statistics. However, the underlying principles will have application in many areas of research. ","2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR","nie","nie",2,"","","",""]
["TI261","Timberlake Consultants","An Introduction to Meta-Analysis (2019 Stata Summer School, London)","Londýn, Veľká Británia",0,1,"2019-07-06","2019-07-06","540 EUR",null,"https://www.timberlake.co.uk/courses/stata-summer-school-london-2019.html","This one-day course introduces the main statistical techniques for meta-analysis and shows how to do it in practice using the Stata commands metan, metareg and mvmeta.\n\nThe course will deal with topics:\nBasic Stata commands for meta-analysis\nEffect sizes based on binary and continuous data\nFixed vs. random effects models for meta-analysis\nTesting for heterogeneity\nSubgroup analysis and meta-regression\nPractical exercises using the metan and metareg commands","2 dni: 970 EUR\n3 dni: 1 375 EUR\n4 dni: 1 730 EUR\n5 dní: 2 025 EUR\n6 dní: 2 270 EUR","nie","nie",2,"","","",""]
["TI262","Timberlake Consultants","Introduction to EViews (2019 EViews Forecasting Summer School)","Londýn, Veľká Británia",1,1,"2019-07-22","2019-07-22","540 EUR",null,"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html","The course introduces EViews most popular and useful commands and procedures to import, manipulate, transform and manage data, as well as to perform some commonly used statistical routines and econometric estimations. This session is ideal for new or beginner EViews users, and this course is strongly recommend any participant with no prior experience of using EViews and planning to take further courses, should attend this course","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI263","Timberlake Consultants","Forecasting with EViews Part 1 (2019 EViews Forecasting Summer School)","Londýn, Veľká Británia",1,1,"2019-07-23","2019-07-23","540 EUR",null,"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html","On this course he basics of forecasting (and of using EViews) are introduced. It contains a fair balance of theory and application, and both the ordinary regression model and ARMA models are introduced.\n\nThe course deals with topics: \n\nThe notions of “workfile” and “object” in EViews\nData handling and databases in EViews\nData description: creating, editing, freezing and exporting graphs\nDescriptive statistics and tests\nPreliminary theory for univariate regression: the classical linear regression model (CLRM), the CLRM assumptions, OLS estimation\nCreating, estimating and reading a regression in EViews\nARMA models: Box-Jenkins identification, estimation and forecasting\nSmoothing\nSome indicators of forecasting accuracy: mean squared and mean absolute errors, Theil’s U\nThe Diebold-Mariano test","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI264","Timberlake Consultants","Forecasting with EViews Part 2 (2019 EViews Forecasting Summer School)","Londýn, Veľká Británia",1,1,"2019-07-24","2019-07-24","540 EUR",null,"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html","This course presents a more advance look at the ordinary regression model, focusing on the issue of misspecification – i.e., from the point of view of forecasting, the issue of improving a regression model (and/or an estimation technique). It has also more practical part, the notions of ARMA models and regression are extended to a multivariate context.\n\nThe course deals with topics:\nMore on the CLRM assumptions\nTesting for misspecification: heteroskedasticity, normality, functional form\nSpecification of dynamic models\nTesting for structural instability\nVAR representation and estimation\nFurther testing with multivariate regression: Granger causality, lag selection\nThe notion of “model”, static and dynamic prediction\nIndicators of forecasting accuracy","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI265","Timberlake Consultants","Forecasting non-stationary series (2019 EViews Forecasting Summer School)","Londýn, Veľká Británia",1,1,"2019-07-25","2019-07-25","540 EUR",null,"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html","The main focus of this course is on non-stationary data. After introducing the notions of stationarity and non-stationarity (and some tests), participants will discuss cointegration in both a single equation and multiple equation framework.\n\nThe course deals with topics:\n\nIntroduction to the notion stationarity and unit roots\nThe Dickey-Fuller test\nIntroduction to the notion of cointegration: preliminary theory and Engle-Granger analysis using EViews\nCointegrated VARs in EViews: Johansen’s test for cointegration, the (vector) error correction model (VECM), estimating and interpreting a VECM in EViews\nCreating and interpreting forecasts with non-stationary VARs\nStatic and dynamic prediction\nModelling and predicting UK inflation","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI266","Timberlake Consultants","State space modelling in EViews (2019 EViews Forecasting Summer School)","Londýn, Veľká Británia",1,1,"2019-07-26","2019-07-26","540 EUR",null,"https://www.timberlake.co.uk/courses/2019-eviews-forecasting-summer-school.html","The sessions will cover: setting up a State-space model in EViews, forecasting and getting around some typical problems (mainly, trying to achieve convergence). The main focus will be on a special case of a State-space model, namely the time-varying parameter case.  \n\nThe course includes topics:\nRepresentation and creation of a state space object in EViews\nUnobserved components\nEstimation of a state space object\nSetting initial values\nSetting up and estimating a time-varying parameter model in EViews\nThe “state space” object procedures\nForecasting states and signals\nKalman-Bucy filtering\nForecasting parameters","2 kurzy: 970 EUR\n3 kurzy: 1 375 EUR\n4 kurzy: 1 730 EUR\n5 kurzov: 2 025 EUR","nie","nie",2,"","","",""]
["TI267","Timberlake Consultants","A Practical Guide to Econometric Modelling and Forecasting","Londýn, Veľká Británia",3,3,"2019-08-05","2019-08-07","1 950 EUR",null,"https://www.timberlake.co.uk/courses/a-practical-guide-to-econometric-modelling-and-forecasting.html","This course is aimed at economists and applied econometricians who work with time-series data and want to keep up-to-date with some major recent developments in applied econometric modelling for forecasting.\n\nThe course provides an introduction to the theory and practice of econometric modelling and forecasting facing a nonstationary and evolving world, when the model differs from the data generation process (DGP). It covers the modelling methodology, practice, implementation and evaluation of economic models and their forecasts, focusing on the main sources of forecast error leading to the possible robustification of forecasts. The framework, its basic concepts and implications will be explained for integrated-cointegrated processes intermittently subject to outliers and structural breaks. Live applications to empirical time series will demonstrate the approach.",null,"nie","nie",2,"","","",""]
["TI268","Timberlake Consultants","Summer School on Data Science and Causal Modelling for Big Data in Health and Medical Research","Londýn, Veľká Británia",4,4,"2019-10-14","2019-10-17","1 750 EUR",null,"https://www.timberlake.co.uk/courses/data-science-and-causal-modelling-for-big-data-in-health-and-medical-research.html","The objective of this summer school is to train participants in data science, and causal modelling and inference for health and medical big data. The main subjects that the course will cover include: (i) identification of the main sources of administrative and clinical data; (ii) management and manipulation of these data using Stata; (iii) correct application of machine learning and data mining techniques; (iv) accurate application of causal inference methods, via both counterfactual and structural modelling; (v) ex-post cost-benefit analysis for health policy programs.",null,"nie","nie",2,"","","",""]
["TI002","Tinbergen Insitute","Research on Productivity, Trade, and Growth","Amsterdam, Holandsko",5,5,"2019-07-08","2019-07-12","2000 EUR","2019-06-10","https://www.tinbergen.nl/research-on-productivity-trade-and-growth-theory-and-practice","This course provides a self-contained set of lectures to bring PhD students and practitioners up to speed in the area of empirical research using firm-level data. The course starts with an introduction to models of firm dynamics and innovation. Next, attention is paid to estimation of productivity, including methods to cope with sample selection, endogeneity of inputs, and lack of firm-level quality adjusted prices. The insights from production function estimation are used to develop a framework to estimate markups using the so-called production approach. This framework is used to discuss the recent debate around rising market power. Finally, the course discusses recent empirical work on structural modeling of productivity, trade and growth. Besides theory, the course will include a set of lectures on data handling, programming, and algorithms for empirical applications, as well as daily hands-on practical sessions.",null,"nie","nie","","","","",""]
["TI001","Tinbergen Insitute","Crash Course in Experimental Economics","Amsterdam, Holandsko",5,6,"2019-08-19","2019-08-24","1500 EUR","2019-07-22","https://www.tinbergen.nl/crash-course-in-experimental-economics","This one-week crash course is an introduction to the field of experimental economics. The course provides students with skills needed to design and run an experiment. ",null,"nie","nie","","","","",""]
["TI003","Tinbergen Insitute","Econometric Methods for Forecasting and Data Science with Applications in Finance, Economics and Business","Amsterdam, Holandsko",5,5,"2019-08-19","2019-08-23","1500 EUR","2019-06-22","https://www.tinbergen.nl/econometric-methods-for-forecasting-and-data-science","The importance of developing appropriate quantitative models and methods for risk-assessment, climate-impact scenarios, energy policy, house market prices, and big data analyses generally are well understood in the academic and professional worlds. The developments in new technologies for econometric modelling, analysis and forecasting of (big) data in finance, economics and business are moving forwards rapidly. In this summer school we will treat a number of these developments in much detail. In each case we start with the basics of the methodology and theory, we illustrate their use and their importance, we implement the basic methods in a computer lab, and we review the latest developments in the academic and professional literature. Given the interdisciplinary nature of the summer school, we start with a review of the basic methods and theory in each case. More specifically, we aim to treat the latest developments in univariate time series models, dynamic econometric models, volatility models, dynamic factor models, state space models, time-varying location and scale models, etc. The practical use of econometric methods in the context of specific applications are assessed in individual cases targeted towards the backgrounds of the participants.",null,"nie","nie","","","","",""]
["TS001","Tstat","AN INTRODUCTION TO STATA","Florencia, Taliansko",1,1,"2019-08-26","2019-08-26","1 478 EUR","2019-07-27","https://www.tstattraining.eu/training/modelling-energy-markets-using-stata/","The objective this summer school is to provide participants with the requisite toolset, both theoretical and applied, to enable them to correctly implement the appropriate statistical tools required for the modelling of both demand and prices in international energy markets. \n\nThe summer school opens with an optional one-day introduction to Stata course to enable participants unfamiliar with the statistical software Stata to acquire the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats.","Cena je závislá od kombinácie kurzov, viac info na stránke. ","áno","nie","","","","",""]
["TS002","Tstat","THE ECONOMETRICS OF ENERGY MARKETS USING STATA","Florencia, Taliansko",2,2,"2019-08-27","2019-08-28","1 018 EUR","2019-07-27","https://www.tstattraining.eu/training/modelling-energy-markets-using-stata/","The objective this summer school is to provide participants with the requisite toolset, both theoretical and applied, to enable them to correctly implement the appropriate statistical tools required for the modelling of both demand and prices in international energy markets. \n\nThe summer school opens with an optional one-day introduction to Stata course to enable participants unfamiliar with the statistical software Stata to acquire the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats.","Cena je závislá od kombinácie kurzov, viac info na stránke. ","áno","nie","","","","",""]
["TS003","Tstat","FORECASTING ENERGY MARKETS VOLATILY USING STATA","Florencia, Taliansko",1,2,"2019-08-29","2019-08-30","1 018 EUR","2019-07-27","https://www.tstattraining.eu/training/modelling-energy-markets-using-stata/","The objective this summer school is to provide participants with the requisite toolset, both theoretical and applied, to enable them to correctly implement the appropriate statistical tools required for the modelling of both demand and prices in international energy markets. \n\nThe summer school opens with an optional one-day introduction to Stata course to enable participants unfamiliar with the statistical software Stata to acquire the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats.","Cena je závislá od kombinácie kurzov, viac info na stránke. ","áno","nie","","","","",""]
["TS004","Tstat","A GENTLE INTRODUCTION TO MATA","Berlín, Nemecko",3,3,"2019-10-28","2019-10-30","1 640 EUR","2019-10-08","https://www.tstattraining.eu/training/gentle-introduction-mata/","This course offers participants a gentle, but extensive introduction into Mata’s programming capabilities. \nParticipants are expected to learn independently implement the techniques learnt during the course of the workshop in order be able to use Mata to work more effectively in Stata.\n\nThis course is, by it’s very nature, to be considered much much a “hands-on/applied training program”. ",null,"nie","nie","","","","",""]
["TR001","Turin School of Local Regulation","International Summer School on the Regulation of Local Public Services ","Turín, Taliansko",10,12,"2019-09-02","2019-09-13","0 EUR","2019-06-03","https://turinschool.eu/iss","The School is addressed to final year undergraduate students, graduates and PhD candidates, official of the Public Administration (municipalities, counties, regional bodies) and regulatory agencies staff who intend to study in depth some of the most relevant issues for regulation, tariff setting and management of local public services, either of environmental interest or not. The programme is designed as an intensive workshop, combining theoretical and practical modules. ",null,"áno","nie","","","","",""]
["UN001","Universität St.Gallen ","Advanced Microeconometrics","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1000 CHF",null,"https://www.gserm.ch/stgallen/courses/","The course covers two main areas in applied microeconometrics: Panel data analysis and nonparametric estimation. Panel data are widely used in applied work, and linear, non-linear and non-parametric panel data analysis will be examined. We will first also discuss nonparametric regression in a cross-section context. The course will focus particularly on econometric theory. This is an PhD course.",null,"nie","nie",1.67,"","","",""]
["UN002","Universität St.Gallen ","Regression Analysis for Spatial Data","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/courses/","This course focuses on the visualization and modeling of spatial data. Examples are taken from different research areas. \nIt offers a detailed explanation of individual estimation methods and their implementation in R. \nIn this course, students will learn:\n-  to generate a variety of different maps that visualize the location of spatial units\n- how maximum likelihood estimation works and how to set up and optimize a likelihood function in R\n- to deal with computational problems that are frequently accounted when working with spatial data\n- to increase computation speed using concentrated maximum likelihood and the matrix exponential spatial specification model\n- to estimate a spatial regression model both, with cross-sectional and with time-series data\n- to properly interpret the output from a spatial regression model and how to investigate policy interventions.\n- a basic background on spatial interaction models, heterogeneous coefficient SAR models, and spatio-temporal models\n",null,"nie","nie",1.67,"","","",""]
["UN003","Universität St.Gallen ","Analyzing Survey Research Data","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,855","The course will cover a variety of strategies for producing quantitative (usually interval-level) variables from qualitative survey responses (which are usually believed to be measured at the nominal or ordinal level). \nCourse includes topics:\n- a discussion of measurement theory, giving detailed consideration to such concepts as measurement level and measurement accuracy. \n- optimal scaling strategies, for assigning numbers to objects.\n- variety of methods for combining multiple survey responses in order to produce higher-quality summary measures (unfolding techniques /sometimes called “ideal points estimation”/ and related methods; summated rating /or “Likert”/ ) \n- scales and reliability of measurement; principal components analysis; item response theory; factor analysis; multidimensional scaling; the vector model for profile data; and correspondence analysis. \n\n",null,"nie","nie",1.67,"","","",""]
["UN004","Universität St.Gallen ","Machine Learning with R - Introduction","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,834","This course is intended to be an introduction to machine learning methods through the exploration of real-world examples. It will cover the basic math and statistical theory needed to understand and apply many of the most common machine learning techniques, but no advanced math or programming skills are required. The target audience may include social scientists or practitioners who are interested in understanding more about these methods and their applications. ",null,"nie","nie",1.67,"","","",""]
["UN005","Universität St.Gallen ","Regression I - Introduction","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,800","The primary goal is to develop an applied and intuitive (as opposed to purely theoretical or mathematical) understanding of the topics and procedures. \nThe course will begin with a quick review of basic univariate statistics and hypothesis testing.\nThen it will cover various topics in bivariate and then multiple regression, including:\n\n• Model specification and interpretation.\n\n• Diagnostic tests and plots.\n\n• Analysis of residuals and outliers.\n\n• Transformations to induce linearity.\n\n• Interaction (“Multiplicative”) terms.\n\n• Multicollinearity.\n\n• Dichotomous (“Dummy”) independent variables.\n\n• Categorical (e.g., Likert scale) independent variables.",null,"nie","nie",1.67,1,1,"Začiatočníkom","V rámci kurzu prevažovala teória, dbá sa na praktickú a intuitívnu znalosť, hoci vyučujúci ako profesor matematiky vie ísť aj do hĺbky. Nadobudnuté znalosti neviažu na nejaký konkrétny software, čo môže byť výhodou."]
["UN006","Universität St.Gallen ","Meta-Analysis - Beyond Data Synthesis","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,852","The course aims to teach the development of coding questionnaires, coding of studies and to show how the analysis of the data is done, how the conclusions can be drawn and how to present the findings, and thus give some indications on how to get published in a top journal. The benefits and limitations of meta-analysis are discussed both in theory as well as empirically. We will discuss the following steps in the meta-analysis research process:\n\n1.  Selection of topic and research proposition;\n2.  Collection of studies;\n3.  Development of coding questionnaires;\n4.  Coding of studies;\n5. Analysis of the data, conclusions, and presentation of findings and also explain how to get your work published in a top journal.",null,"nie","nie",1.67,"","","",""]
["UN007","Universität St.Gallen ","Bayesian Data Analysis","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,820","This course shows you how to do Bayesian data analysis, hands on.\n\nCourse Objectives: You will learn:\nThe rich information provided by Bayesian analysis and how it differs from traditional (Frequentist) statistical analysis\nThe concepts of Bayesian reasoning along with the easy math and intuitions for Bayes’ rule\nThe concepts and hands-on use of modern algorithms (“Markov chain Monte Carlo”) that achieve Bayesian analysis for realistic applications\nHow to use the free software R and JAGS for Bayesian analysis, readily useable and adaptable for your research applications\nAn extensive array of applications, including comparison of two groups, ANOVA-like designs, linear regression, and logistic regression.\nHow to apply Bayesian estimation to hierarchical (multi-level) models. See more details in the list of topics, below.\nWhat to look for when doing data analysis in a variety of other software settings, including SPSS, SAS, JASP, M-Plus and packages like brms or r-stan-arm in R.",null,"nie","nie",1.67,"","","",""]
["UN008","Universität St.Gallen ","Qualitative Research Methods & Data Analysis","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,822","This course will discuss both descriptive and interpretive qualitative studies. Qualitative approaches such as grounded theory, narrative analysis, and case studies will be deined. The course will briefly cover research design and data collection strategies but will largely focus on analysis. In particular, it will consider how researchers develop codes and integrate memo writing into a larger analytic process. \nOne day will be spend by learning a qualitative analysis software package, ATLAS.ti. The methods discussed in the course will be applicable to qualitative studies in a range of fields, including the behavioral sciences, social sciences, health sciences, communications, and business.",null,"nie","nie",1.67,"","","",""]
["UN009","Universität St.Gallen ","Network Analysis - Statistical Analysis of Social Network Data","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,828","This course presents concepts and methods applicable for the analysis of a wide range of social networks, such as those based on family ties, business collaboration, political alliances, and social media.\n\nSince network data are generated in a different way that many other kinds of social data, the course begins by considering the research designs, sampling strategies, and data formats that are commonly associated with network analysis.  A key aspect of performing network analysis is describing various elements of the network’s structure.  To this end, the course covers the calculation of a variety of descriptive statistics on networks, such as density, centralization, centrality, connectedness, reciprocity, and transitivity.  It considers various ways of visualizing networks, including multidimensional scaling and spring embedding.  Students will learn methods of estimating regressions in which network ties are the dependent variable, including the quadratic assignment procedure and exponential random graph models (ERGMs); consider extensions of ERGMs, including models for two-mode data and networks over time.",null,"nie","nie",1.67,"","","",""]
["UN010","Universität St.Gallen ","Analyzing Unstructured Data","St. Gallen, Švajčiarsko",5,5,"2019-06-03","2019-06-07","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,810","In this course, students will explore different statistical\napproaches that have proven useful in making sense out of unstructured data. The course is centered around business and psychology applications that involve the analyses of text and images as well as well as their relationships with meta-data. For most of the analyses, R will be used. ",null,"nie","nie",1.67,"","","",""]
["UN011","Universität St.Gallen ","Structural Equation Models I","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,804","Course content\n\nIntroduction to latent variable models, measurement error, path diagrams.\nEstimation, identification, interpretation of model parameters.\nScaling and interpretation issues\nScalar programming for structural equation models in STATA\nScalar programming for structural equation models: an overview of other software\nModel fit and model improvement\nGeneral linear parameter constraints\nMultiple-group models\nA gentle introduction to structural equation models in matrix form\nIntroduction to models for means and intercepts\nModel assumptions; implications of violations of assumptions.",null,"nie","nie",1.67,"","","",""]
["UN012","Universität St.Gallen ","Mediation, Moderation, and Conditional Process Analysis I","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,850","Topics covered in this five-day course include:\n\nPath analysis: Direct, indirect, and total effects in mediation models.\nEstimation and inference about indirect effects in single mediator models.\nModels with multiple mediators\nMediation analysis in the two-condition within-subject design.\nEstimation of moderation and conditional effects.\nProbing and visualizing interactions.\nConditional Process Analysis (also known as “moderated mediation”)\nQuantification of and inference about conditional indirect effects.\nTesting a moderated mediation hypothesis and comparing conditional indirect effects",null,"nie","nie",1.67,"","","",""]
["UN013","Universität St.Gallen ","Machine Learning with R - Advanced","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,835","The goal of this course is to prepare students to independently apply machine learning methods to their own tasks. We will cover the practical techniques that are not often found in textbooks but discovered through hands-on experience. The target audience includes students who are interested in applying ML knowledge to more difficult problems and learning more advanced techniques to improve the performance of traditional ML methods.",null,"nie","nie",1.67,2,1,"Pokročilým","V rámci kurzu bol každý deň venovaný inému problému, s ktorým je potrebné sa vysporiadať v procese modelovania. Po teoretickom úvode, do ktorého účastníci kurzu prispievali svojimi poznatkami z praxe, ale tiež samoštúdia (materiály na samoštúdium zasielané vždy deň vopred) nasledovala aplikácia poznatkov pri riešení vopred zadanej úlohy v skupinách (forma \"machine learning competition\" využívanej napríklad na portáli Kaggle). "]
["UN014","Universität St.Gallen ","Regression Analysis II - Linear Models","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,830","The goal is to develop an applied and intuitive (not purely theoretical or mathematical) understanding of the topics and procedures, so that participants can use them in their own research and also understand the work of others. Whenever possible presentations will be in “Words,” “Picture,” and “Math” languages in order to appeal to a variety of learning styles.\n\nAdvanced regression topics will be covered only after the foundations have been established. The ordinary least squares multiple regression topics that will be covered include:\n\nVarious F‑tests (e.g., group significance test; Chow test; relative importance of\nvariables and groups of variables; comparison of overall model performance).\nCategorical independent variables (e.g., new tests for “Intervalness” and\n“Collapsing”).\nDichotomous dependent variables: Logit and Probit analysis.\nOutliers, influence, and leverage.\nAdvanced diagnostic plots and graphical techniques.\nMatrix algebra: A quick primer. (Optional)\nRegression models… now from a matrix perspective.\nHeteroskedasticity: Definition, consequences, detection, and correction.\nAutocorrelation: Definition, consequences, detection, and correction.\nGeneralized Least Squares (GLS) and Weighted Least Squares (WLS).",null,"nie","nie",1.67,2,1,"Začiatočníkom","Kurz bol z hľadiska teórie a praxe vyvážený. Prednášajúci boli odborníci aj výborní pedagógovia."]
["UN015","Universität St.Gallen ","Qualitative Comparative Analysis","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,808","Course will cover topics:\n\nSocial research as a process of constructing empirically grounded representations\nThe case-oriented/variable oriented distinction\nThe distinctiveness of configurational comparative research\nWhat is QCA?\nIntroduction to Boolean algebra and set theoretic methods\nSet-theoretic analysis vs. correlational analysis\nNecessity and sufficiency\nConsistency, coverage, coincidence\nCase-oriented research strategies for theory building\nOverview of crisp-set QCA (csQCA)\nExamples of crisp set analyses\nA set-theoretic approach to counterfactual analysis\nThe three solutions—complex, parsimonious, and intermediate\nEasy versus difficult counterfactuals\nThe impact of assumptions on counterfactual analysis\nConsistency and coverage in crisp-set truth table analysis\nFuzzy sets and fuzzy set relations\nCalibrating fuzzy sets\nFuzzy set consistency, coverage, and coincidence\nFuzzy-set coverage: raw versus unique versus solution coverage\nLimited diversity, fuzzy sets, and counterfactual analysis\nThe fuzzy-set truth table algorithm",null,"nie","nie",1.67,"","","",""]
["UN016","Universität St.Gallen ","Designing and Analyzing Discrete Choice Experiments","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,858","The first objective of the course is to provide students with an understanding of the basic principles of conducting discrete choice experiments (also known as conjoint choice analysis) and to review several recent advances in the area. The second objective is for students to learn to design, collect data for, analyze, and present the results of their own initial empirical discrete choice experiment study.\n\nTopics that are covered include:\n\n1. Defining the decision problem for discrete choice experiments (DCEs).\n\n2. Selecting attributes, attribute-levels, and dependent variables for DCEs.\n\n3. Creating efficient experimental designs for DCEs.\n\n4. Developing an online DCE questionnaire and coding DCE data.\n\n5. Collecting data for DCEs.\n\n6. Analyzing DCE data.\n\n7. Drawing conclusions from DCEs and presenting conclusions and recommendations.",null,"nie","nie",1.67,"","","",""]
["UN017","Universität St.Gallen ","Statistical Learning and Applications","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,376","This is a first course on statistical/machine learning and high-dimensional data analysis, aiming at providing a mathematical toolkit to deal with large datasets.\n\nA tentative list of topics which will be covered is as follows: (\n\n- ‘Statistical Learning’ aka ‘Learning Theory’ , ‘Machine Learning’\n- Examples from various scientific disciplines\n- Similarities and differences with related fields: multivariate statistics, high-dimensional analysis, computational statistics, Bayesian statistics, data mining, computer vision, artificial intelligence, etc.\n- topics of MATHEMATICAL FRAMEWORK",null,"nie","nie",1.67,"","","",""]
["UN018","Universität St.Gallen ","Regression: Foundations & Application Using R","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,814","After a brief introduction to Matrix Algebra (no prior training in linear or matrix algebra is required), students will re-derive the Ordinary Least Squares Estimator using Matrix Algebra and find how the Standard Errors can be calculated for Hypothesis Testing.  Course will begin to relax so-called “Regression Assumptions” to move beyond Ordinary Least Squares (OLS) into Generalized Least Squares (GLS).  Non-uniform variance in the errors (Heteroskedasticity) and Autocorrelated errors (Time series) will receive particular attention. ",null,"nie","nie",1.67,"","","",""]
["UN019","Universität St.Gallen ","Basic and Advanced Multilevel Modeling with R and Stan","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,812","Class combines work from econometrics, statistics/biostatistics, and psychometrics. The class is structured using a maximum likelihood framework with practical applied Bayesian extensions on different topics. R packages are selected specifically to make the transition from MLE to Bayesian multilevel models as straightforward and seamless as possible. \n\nSpecific topics include:\n\n·         Random intercept and random slope models\n\n·         Cross-classified and multiple membership models\n\n·         Generalized linear mixed models",null,"nie","nie",1.67,"","","",""]
["UN020","Universität St.Gallen ","Mixed Methods Research","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,802","This course will enable students to capitalize on the strengths of quantitative and qualitative research to advance knowledge and understanding in the social and behavioral sciences. It will briefly review the philosophy and methodology of qualitative and quantitative research necessary for advancement to mixed methods research. Then, the following will be explained, discussed, and applied for mixed methods research (MMR): (a) definitions of MMR; (b) history of MMR, (c) philosophies and paradigms in MMR; (d) identifying major types of MMR (e.g., quantitatively driven, qualitatively driven, and interactive MMR); (e) writing research questions in MMR; (f) methods of data collection in MMR; (g) research methods/methodologies/theoretical frameworks in MMR; (h) sampling designs in MMR; (i) validity and legitimation of results in MMR; (j) constructing basic and advanced MMR research designs; (k) integration in MMR; (l) analyzing data in MMR; (m) writing reports in MMR, and (n) publishing and disseminating MM research.",null,"nie","nie",1.67,"","","",""]
["UN021","Universität St.Gallen ","Applied Deep Learning in Python","St. Gallen, Švajčiarsko",5,5,"2019-06-10","2019-06-14","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,860","In this course, you will acquire some fundamental knowledge as well as practical skills in deep learning. It will look at the topic with a problem-solving approach having short input lectures, focusing rather on programming and practical applications of the models.",null,"nie","nie",1.67,"","","",""]
["UN022","Universität St.Gallen ","Case Study Methods","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,832","The central goal of the seminar is to enable students to create and critique methodologically sophisticated case study research designs in the social sciences. To do so, the seminar will explore the techniques, uses, strengths, and limitations of case study methods, while emphasizing the relationships among these methods, alternative methods, and contemporary debates in the philosophy of science. The research examples used to illustrate methodological issues will be drawn primarily from international relations and comparative politics. The methodological content of the course is also applicable, however, to the study of history, sociology, education, business, economics, and other social and behavioral sciences.",null,"nie","nie",1.67,"","","",""]
["UN023","Universität St.Gallen ","Data Mining","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,824","This course is designed as an introduction to DM, aiming at providing fundamentals, methodologies, tools, and logic behind DM algorithms in practioners‘ perspective (i.e., practical use of DM). Therefore, it is intended to focus on fundamental DM concepts, characteristics of algorithms, and their usage, while not delving into technical details of algorithm development. Particularly, top 10 data mining algorithms previously indentified by researchers and practioners will be discussed  in the lecture as they are among the most influential DM algorithms. Students will gain practical skiils through hands-on exercises with open-source tools for real-life datasets they bring to the class. Additionally, students will gain insight into data and the whole DM process, including data preparation, feature/instance selection, algorithim application to specific data types, and performance evaluation. Therefore, after this course, students can further adapt exising algorithms and tools to address their own data with confidence. At the end of the course, recent trends, tools, relationships with related fields, and future development with be briefly discussed.",null,"nie","nie",1.67,"","","",""]
["UN024","Universität St.Gallen ","Time Series Analysis - Introduction","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,836","This course provides an introduction to methods of time series analysis, building upon students’ background knowledge in statistical inference and regression analysis. We will begin with basic descriptive methods for viewing time series data and then talk about stationarity assumptions and how violations of these assumptions threaten inferences in regression analyses of time series data. Students will also learn about autoregressive integrated moving average (ARIMA) models, including autocorrelation (ACF) and partial autocorrelation (PACF) functions. We will review several statistical tests for unit roots, serial correlation, and normality. Students will be introduced to regression based time series models, such as the autoregressive distributed lag (ADL) model, as well as more advanced models such as the error correction and GARCH models. We will also learn about modeling interventions in time series data.",null,"nie","nie",1.67,"","","",""]
["UN025","Universität St.Gallen ","Categorical Data Analysis","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,838","This course will begin by using the familiar linear regression framework to discuss conceptual ideas of identification and the general concept of maximum likelihood. Then, proceed to discuss the philosophical ideas of categorical measurement, ‘deriving’ (non‑mathematically) the binary logit model using both latent variable & transformational approaches. It will then examine estimation & post‑estimation of the binary logit & probit models, including interpretations of factor change coefficients (odds ratios), predicted probabilities, discrete change & marginal change. Following binary regression models, we will briefly discuss examinations of testing & fit for non‑linear models, including tests of significance & model specification, and examination of residuals, outliers & model influence. We will then examine interactions within the binary framework & discuss the implications of model assumptions on tests for group differences (or fully‑interactive models). Models for ordinal and nominal dependent variables will follow, including ordinal logit & probit and multinomial logit, with a focus on the assumptions of the ordinal regression model & a review of potential post‑estimation techniques & interpretations. Of special focus for nominal &             ordinal variables will be graphical techniques for presenting results & testing the parallel regression assumption. Finally, the course will conclude with discussion of count models as an extension of the binomial model, including Poisson, negative binomial & zero‑modified variant model.",null,"nie","nie",1.67,"","","",""]
["UN026","Universität St.Gallen ","Longitudinal Data Analysis","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,818","The subject matter of the course is regression models for data that vary both over cross-sectional units and across time. The course will begin with a discussion of the relevant dimensions of variation in such data, and discuss some of the challenges and opportunities that such data provide. It will move on to models for one-way unit effects (fixed, between, and random), models for complex panel error structures, dynamic panel models, and nonlinear models for discrete dependent variables. The second part of the course will focus on models for time-to-event (“survival,” or “event history”) data. In every case, students will learn the statistical theory behind the various models, details about estimation and inference, and techniques for the substantive interpretation of statistical results. Students will also develop statistical software skills for fitting and interpreting the models in question, and will use the models in both simulated and real data applications. Students will leave the course with a thorough understanding of both the theoretical and practical aspects of conducting analyses of longitudinal data.",null,"nie","nie",1.67,"","","",""]
["UN027","Universität St.Gallen ","Econometrics of Big Data","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,382","The goal in this course is two-fold.  First, it wishes to provide an overview and introduction to several modern methods, largely coming from statistics and machine learning, which are useful for exploring high-dimensional data and for building prediction models in high-dimensional settings.  Second, it will present recent proposals that adapt high-dimensional methods to the problem of doing valid inference about model parameters and illustrate applications of these proposals for doing inference about economically interesting parameters.",null,"nie","nie",1.67,"","","",""]
["UN028","Universität St.Gallen ","Time Series Analysis - Advanced Methods","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,370","The course is designed to equip students at the PhD-level with the appropriate knowledge of multiple time series methods needed to conduct empirical research in time series economics and macroeconomics. We will cover modern time series methods such as vector autoregressions (VARs), including structural VARs, cointegration analysis and vector error models (VECM) as well as VARMA modelling. Moreover, we deal with relevant bootstrap methods. We discuss model fitting, estimation and diagnostic and explain the use of the models for forecasting and impulse response analysis. The course contains theory sessions, taught in a standard lecture format and tutored computer sessions, during which the participants have the opportunity to apply the econometric methods and concepts. Participants should present solutions to exercise questions in the tutorial sessions as part of the examination requirements.",null,"nie","nie",1.67,"","","",""]
["UN029","Universität St.Gallen ","Structural Equation Models II - Advanced Methods","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,806","Course content\n\nMeans and intercepts in structural equation models\nApproaches to missing data in SEM models: imputation and FIML methods\nOrdinal data and non-normal data: alternative estimators, scaled test statistics, bootstrapping\nSEM models for longitudinal data\nGrowth curve models for single-indicator variables\nGrowth curve models for multiple-indicator latent variables\nInteractions in structural equation models\nMixture models\nGeneral approaches to categorical data in structural equation models; latent class models\nMulti-level SEM (introduction)",null,"nie","nie",1.67,"","","",""]
["UN030","Universität St.Gallen ","Mediation, Moderation, and Conditional Process Analysis II","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,856","This course will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using readily-available software packages such as SPSS and SAS.",null,"nie","nie",1.67,"","","",""]
["UN031","Universität St.Gallen ","Behavioral and Experimental Economics","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,859","Behavioral economics develops theories of human (economic) behavior that go beyond the standard model of rationality and selfishness. Experimental economics tests these theories and provides the data for new theoretical approaches. In this course, we will learn key approaches of behavioral economics, and the experiments that demonstrate the relevance and limits of these theories. This includes in particular the measurement and modeling of preferences and the modeling of bounded rationality. We study what experiments inspired the theories and how the theories are tested in the lab. The course is complemented with data analysis techniques specifically relevant for theory motivated experimental data.",null,"nie","nie",1.67,"","","",""]
["UN032","Universität St.Gallen ","Text Mining","St. Gallen, Švajčiarsko",5,5,"2019-06-17","2019-06-21","1700 CHF",null,"https://www.gserm.ch/stgallen/course/?course_code=10,857","Text mining is the art and science of extracting insights from large amounts of natural language. The topics of Text Mining will help students add natural language processing techniques to their research, and data science toolset. As a technical course with some machine learning elements, limited exposure to programming, graduate level statistics and mathematical theory is needed but the vast majority of the course content will be focused on applying popular text mining methods. As a result, the target audience may also include qualitative researchers looking to add quantitative analysis to interviews, media and other language based field research as long as participants have some basic R background.",null,"nie","nie",1.67,"","","",""]
["UB001","University of Barcelona","THE ECONOMICS OF GROWTH: INNOVATION, RIVALRY, AND INSTITUTIONS","Barcelona, Španielsko",{"$f":"NETWORKDAYS(G285,H285,sviatky)","v":4},{"$f":"_xlfn.DAYS(H285,G285)+1","v":5},"2019-07-01","2019-07-05","710 EUR","2019-06-16","http://www.ub.edu/school-economics/summer-school/","In this course will look at three types of innovation by entrepreneurs and firms: (1) development of products and market entry; (2) development of higher quality products than existing ones and market entry with “creative destruction;” and (3) “creative accumulation” within firms, which enhances their productivity and product quality. The main focus of the course is on the third type of innovation, which is more in line with theory and evidence from IO. ",null,"nie","nie","","","","",""]
["UN271","University of Copenhagen","Applied machine learning and big data analysis","Kodaň, Dánsko",5,5,"2019-08-12","2019-08-16","2 680 EUR","2019-05-31","https://copenhagensummeruniversity.ku.dk/en/course/applied-machine-learning-and-big-data-analysis/","This course will put participants at the forefront of applied machine learning by introducing you to the newest tools and methods in large-scale data analysis based on cutting-edge research and the extensive experience of our teachers.\n\nAfter the course participants will:\nBe able to set up a basic Machine Learning Analysis from beginning to end: from retrieving and cleaning the data, to setting the information level, extracting patterns and finding outliers, to curating the necessary data.\nGet acquainted with a number of advanced tools for data cleaning, statistical analysis of very large datasets, data stream analysis, finding patterns and outliers in Big Data, collecting data from instruments and devices (e.g. internet of things (IoT)) and for using hardware systems design for efficient handling and analysis of Big Data.",null,"nie","nie","","","","",""]
["UN273","University of Copenhagen","Deep Learning","Kodaň, Dánsko",5,5,"2019-08-12","2019-08-16","2 680 EUR","2019-05-31","https://copenhagensummeruniversity.ku.dk/kursus/deep-learning/","This course will give students detailed insight into deep learning, introducing you to the basics as well as to the latest tools and methods in this emerging field.\n\nThey will learn:\nBy completing the course, participants will be able to set up and use basic deep learning techniques. They will learn how to use deep convolutional neural networks and recurrent neural networks for image, text, and time series analysis tasks. Also, they will become acquainted with advanced tools and become familiar with using appropriate computational resources to train and apply deep learning models.\n\nThe course will also teach the theoretical foundations of deep neural networks, which will provide the understanding necessary for adapting and successfully applying deep learning into own applications.",null,"nie","nie","","","","",""]
["UN269","University of Copenhagen","Value based health care (VBHC) - the future for the health care sector?","Kodaň, Dánsko",5,5,"2019-08-19","2019-08-23","2 680 EUR","2019-05-31","https://copenhagensummeruniversity.ku.dk/en/course/value-based-health-care-vbhc/","This course will provide you with insight into the basic concepts of VBHC, what it is, and why it is so important.\n\nParticipants will:\nget an overview of the stakeholders in VBHC: who the key players are and who the new powerful players are - currently entering the field of health care for the first time.\nlearn from examples of ongoing VBHC projects.\nlearn about some of the enablers for VBHC, i.e. health care policy, real world data, and digitization.\nThe course will also discuss how to set up VBHC projects, and how value is created between the different stakeholders. Finally the course will address how this will impact different players in the health care sector and how this might impact the current business model of the industry.",null,"nie","áno","","","","",""]
["UN270","University of Copenhagen","Applied machine learning and big data analysis","Kodaň, Dánsko",5,5,"2019-08-19","2019-08-23","2 680 EUR","2019-05-31","https://copenhagensummeruniversity.ku.dk/en/course/applied-machine-learning-and-big-data-analysis/","Applied machine learning and big data analysis\nMachine Learning is now being applied in essentially all data-based fields, and Big Data is omnipresent from private industry to governmental organizations. It is a new approach to problem solving, and while the potential is often exaggerated, Machine Learning does indeed open up exciting new opportunities, but it also poses some very real challenges. The ability to analyze and combine large amounts of data from different sources obviously has wide applications. However, the lack of quality in the data combined with a high variance means that conventional analysis often fails. To counter this requires proper training in the correct application of Machine Learning algorithms. \n\n\nThis course will put you at the forefront of applied machine learning by introducing you to the newest tools and methods in large-scale data analysis based on cutting-edge research and the extensive experience of our teachers.\n\nKey benefits\nAfter the course you will:\n\nBe able to set up a basic Machine Learning Analysis from beginning to end: from retrieving and cleaning the data, to setting the information level, extracting patterns and finding outliers, to curating the necessary data.\nGet acquainted with a number of advanced tools for data cleaning, statistical analysis of very large datasets, data stream analysis, finding patterns and outliers in Big Data, collecting data from instruments and devices (e.g. internet of things (IoT)) and for using hardware systems design for efficient handling and analysis of Big Data.\nCourse content\nThroughout the course, we will use examples of structured datasets in a commercial context, which will be used to demonstrate the different steps in Big Data Analysis. Participants will also have the chance to ask questions about specific data and challenges.\n\nCore elements\n\nData cleaning and statistical methods: Detecting and correcting (or removing) corrupt or inaccurate records, and robust statistical methods for data with very large variance and cross checks.\nMachine Learning algorithms: Introduction to a variety of methods, how they work behind the scenes, their strengths and weaknesses, and their applications.\nFinding patterns and outliers in Big Data: Which methods can be used to identify sparse patterns in very large datasets, and how can we identify data that does not follow the general pattern of a dataset?\nCollecting data from instruments and devices: How to collect, store, and analyze data from a multitude of sources (e.g. apparatus, IoT, etc.).\nSystems for Big Data Analysis: Hadoop, PyDisco, etc., and hardware systems design for efficient analysis.\nSelected machine learning algorithms for large-scale data: Random forests, (deep) neural networks, support vector machines, and large-scale exact nearest neighbour search.\nSystems for Big Data Analysis: Common systems for BDA; Hadoop, PyDisco, etc., and hardware systems design for efficient BDA.\nTools/methods introduced\n\nSelected machine learning algorithms for large-scale data: Random forests, support vector machines, and large-scale exact nearest neighbour search\nData curation: How to select data for long time curation, systems, techniques and standards for data curation\nWe will primarily be working with Python; however, all techniques that are covered are easily implemented with all standard data-analysis languages.",null,"nie","nie","","","","",""]
["UN272","University of Copenhagen","Data Science With Rstudio","Kodaň, Dánsko",5,5,"2019-08-19","2019-08-23","2 680 EUR","2019-05-31","https://copenhagensummeruniversity.ku.dk/en/course/data-science-with-rstudio/","On this course participants will learn to build a complete data analysis pipeline in RStudio. This includes learning R programming techniques for:\n\nData import from multiple sources.\nData manipulation and visualization\nAutomatic and interactive report generation.\nDatabase integration\nLarge-scale computations\nIn addition to the technical programming skills, you will also learn to apply a conceptual framework to data analysis, where all the steps of a data analysis are automatized via a programmatic pipeline.\n\nThe course is based on RStudio and a collection of modern R packages. The focus will be on learning to exploit the full potential of these tools, which can serve as an infrastructure for almost any conceivable data analysis in R.",null,"nie","nie","","","","",""]
["UE001","University of Geneva","Policy evaluation","Ženeva, Švajčiarsko",5,5,"2019-06-24","2019-06-28","1000 CHF","2019-04-15","https://www.unige.ch/genevasummerschools/index.php?cID=194","Measuring and understanding the effect of policies is now more important than ever in any field, from development to labour, from finance to education and beyond. The Geneva Summer School in “Policy Evaluation” offers students a comprehensive understanding of the most advanced techniques of policy evaluation through a powerful combination of theoretical classes and applied examples.",null,"nie","nie","","","","",""]
["UG001","University of Groningen","Data-Driven Prevention Policy in Public Health","Groningen, Holandsko",9,12,"2019-08-19","2019-08-30","255 EUR","2019-06-01","https://www.rug.nl/education/summer-winter-schools/summer_schools_2019/health-systems/","In this summer school researchers in public health from all over the world will become familiar with the steps of the Data-Driven Prevention Cycle (D2PC). We start in the field to discuss the case studies of the partners involved and from there we go through all steps of policy evaluation using observational data. Novel techniques in applied econometrics will be used to not only deliver descriptive results, but to strive to empirical models through which health inference may be attained. As such, we can formulate the important policy indicators for reducing inequalities across the different demographic levels in society.","Housing is available for € 245 for two weeks. More info will follow soon.","nie","nie","","","","",""]
["LX001","University of Luxembourg","Summer Workshop on Inequality and Poverty Measurement","Luxembrug, Luxembursko",5,5,"2019-07-08","2019-07-12","350 EUR","2019-04-15","https://www.lisdatacenter.org/news-and-events/events/workshop/2019-summer-workshop/","Attendees will be trained to use both databases independently and will have the opportunity to:\n\nAcquire advanced knowledge about methods used in inequality research\nGain skills related to the study of comparative inequality\nLearn in detail about the LIS and LWS data and develop ties with LIS’ large international network",null,"nie","nie","","","","",""]
["UM001","University of Milan","Computational and Statistical Methods for Stochastic Process","Brixen-Bressanone, Taliansko",4,4,"2019-06-25","2019-06-28","2440 EUR","2019-05-20","https://yuimaproject.com/yss2019/","The course covers topics of R programming, time series data handling, simulation and numerical analysis for several types of statistical models including: point processes, Hawkes processes,stochastic differential equations driven by Brownian motion with or without jumps, fractional Brownian motion and Lévy processes.",null,"nie","nie","","","","",""]
["US001","University of Split","EU REGIONAL POLICY – REALITY CHECK AND PERSPECTIVE","Split, Chorvátsko",5,5,"2019-06-10","2019-06-14","465 EUR","2019-05-03","http://summer.efst.hr/Courses/EU-REGIONAL-POLICY-REALITY-CHECK-AND-PERSPECTIVE","During the course, the participants will obtain a profound understanding of the substance and usefulness of the most important concepts as well as develop analytical and critical skills needed to develop a holistic perspective needed to understand the roles, effects and perspectives of implementing a regional policy with a particular focus on the EU. ",null,"nie","nie","","","","",""]
["US002","University of Split","REGIONAL DEVELOPMENT IN POST-CRISIS AND POST-GLOBAL WORLD","Split, Chorvátsko",5,5,"2019-06-10","2019-06-14","465 EUR","2019-05-03","http://summer.efst.hr/Courses/Regional-Development-in-Post-Crisis-and-Post-Global-World","During the course, the participants will obtain a profound understanding of the substance and usefulness of the most important concepts in regional development, while they will also become part of a network of contacts with academics and practitioners working in the field. \nAt the end of the class the participant will be able to:\n\nEvaluate the current socio-economic issues of regional development.\nDevelop basic framework for analysing the knowledge based on the latest achievements about the role of infrastructure, institutions and innovations for local and regional development.\nConnect various elements of regional and local development.\nDevelop a holistic perspective on local and regional development using an integrative approach towards complex mechanisms of local and regional development.",null,"nie","nie","","","","",""]
["UY001","University of Surrey","Foundations of DSGE Modelling","Surrey, Veľká Británia",5,6,"2019-09-09","2019-09-14","1650 GBP","2019-08-11","https://www.surrey.ac.uk/events/20190909-summer-school-and-conference-dynamic-stochastic-general-equilibrium-dsge-modelling","The Foundations of DSGE Modelling course starts with an introduction to Dynare programming. It will then proceed to the construction and Bayesian estimation of DSGE macroeconomic models in Dynare and their use for optimal policy analysis. The course material will cover the underlying theory proceeding in steps from the RBC model through to a medium-sized NK model. ",null,"nie","nie","","","","",""]
["UY002","University of Surrey","Advanced Topics in DSGE Modelling","Surrey, Veľká Británia",5,6,"2019-09-09","2019-09-14","1650 GBP","2019-08-11","https://www.surrey.ac.uk/events/20190909-summer-school-and-conference-dynamic-stochastic-general-equilibrium-dsge-modelling","The Advanced Topics in DSGE Modelling course covers various advanced topics including applied dynamic programming, non-linear solution methods for DSGE models, DSGE modelling with heterogeneous agents, optimal policy applications and DSGE models with occasionally binding constraints. ",null,"nie","nie","","","","",""]
["UN274","Universtiy of Essex","Applying Regression","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1c/","The course will cover the theory and practice of regression analysis in its various forms. \n\nAlthough the focus of the course is applying regression, it will start by looking at the meaning of models in statistics. Then, students will consider the mean, correlation and regression as models, and regression to the mean. Course looks at describing models, and at statistical significance and confidence intervals (although we expect you to have prior knowledge of these areas, we will refresh them). Course includes development of more complex models (e.g. hierarchical regression, categorical independent variables), and consider the implications of the assumptions made in regression analysis (including the effect of their violation). Course deals with extending regression in different ways: logistic regression, path analysis, interactions and Poisson regression. Throughout the module we will cover examples in Stata, and occasionally use other programs, e.g. GPower for power analysis.",null,"nie","áno",2,1,1,"Začiatočníkom","Všeoobecnejší kurz pre každého, kto si nie je istý v regresiách či už z teoretického rámca alebo z pohľadu praktickej aplikácie. University of Essex ponúka možnosť zmeny kurzu, pokiaľ po prvej hodine zistíte nevyhovujúcu úroveň kurzu. "]
["UN275","Universtiy of Essex","Introduction to Social Network Analysis","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1d/","This course will provide a practical, but comprehensive introduction to the analysis of social networks. \nThe course focuses on the description and visualisation of social network data using UCINET. It will concentrate on uncovering structural properties of the network (e.g. density, homophily, and clustering), as well as on how to identify important persons in a network (e.g. degree centrality, structural holes, …). Course will also pay attention to the detection of subgroups and deal with basic hypothesis testing for social network analysis. Throughout the course some classic theories that focus on network processes (e.g. related to homophily, centrality measures, structural holes, Granovetter’s strength of weak ties and small worlds) will be discussed.",null,"nie","áno",2,"","","",""]
["UN276","Universtiy of Essex","Introduction to Multilevel Models","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1e/","This course provides an applied introduction to multilevel modelling for social science datasets. It will introduce the statistical features of multilevel models, deal with approaches to handling data which has clustered or hierarchical elements, and provide training in specifying multilevel models for linear and categorical outcome variables in a variety of survey data scenarios. This course concentrates upon random effects models, but also features many points of comparison with other modelling devices that can be used for clustered or nested data. The course also emphasises the practical application of multilevel models, and seeks to convey both the attractions and limitations of a multilevel modelling approach.",null,"nie","áno",2,"","","",""]
["UN277","Universtiy of Essex","Introduction to Survey Data Analysis","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1f/","This course provides an introduction to a wide range of statistical techniques that are used with survey data – including survey experiments.  It begins with core concepts – means, deviations, distributions, confidence intervals, and so on – and then move on to the core statistical methods, covering crosstabulation, t-tests, analysis of variance, correlation, and various forms of regression.  These methods will be demonstrated using the computer package SPSS and a variety of example datasets.  ",null,"nie","áno",2,"","","",""]
["UN278","Universtiy of Essex","Longitudinal Data Analysis","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1g/","This is an introduction to longitudinal data analysis on an applied level using Stata. The focus of the course is on data management and analysing micro panel data.\n\nThe module discuss the advantages (and limitations) of panel data, and will show how to handle and describe a panel dataset. Participants will cover linear regression techniques: fixed and random effects models as well as hybrid models, and simple dynamic regression models as well as growth curve modelling, they will look at non-linear models, such as the random effects probit and fixed effects logit, which are used to deal with discrete variables. One session will additionally focus on age, period, cohort (APC) analysis, a technique to identify over time societal dynamics. It will be focused mainly on conventional methods.",null,"nie","áno",2,"","","",""]
["UN279","Universtiy of Essex","Qualitative Data Analysis: Methodologies for Analysing Text and Talk","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1h/","This is a course centred mainly on the analysis of textual data in an interpretive spirit. The main emphasis is on exploring various approaches to qualitative data analysis and interpretation, from thematic analysis and the logic of formalized “coding”, to interpretative approaches such as discourse and narrative analysis. Participants will review the nature, strengths and limits of various approaches and get acquainted with their practicalities through a series of practical exercises. They will also explore the implications of various types of analysis on the data generation stage, for qualitative interviewing in particular, and reflect upon issues such as appropriate topic guides, interviewing techniques and transcription practices. \nParticular attention will also be given to the writing-up stage of qualitative analysis and its difficulties. Other topics to be addressed are the epistemological foundations of qualitative research, validity and reliability issues, as well as issues of interpretative authority and research ethics.",null,"nie","áno",2,"","","",""]
["UN280","Universtiy of Essex","Introduction to Qualitative Interviewing","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1i/","This course aims to introduce participants to the most widely used qualitative research technique in the social sciences – the interview. The course is intended to systematically guide participants through the research process specific to a qualitative interview project, from research design through to conducting interviews, analysing them and writing up the findings. \nThis is a practical course and participants will gain first-hand experience of conducting and analysing qualitative interviews of different types, as well as critically reflecting upon their own interviewing practice (assumptions and techniques). \nUsing the qualitative data analysis software MAXQDA, the course introduces techniques for analysing interview data.",null,"nie","áno",2,"","","",""]
["UN281","Universtiy of Essex","Beyond OLS: Categorical, Choice and Count Models","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","http://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1j/","This course offers an application-oriented introduction to maximum likelihood (ML) based models for categorical, discrete choice, and count data. It begins with the basics of ML estimation and a discussion of the theoretical foundations of categorical, discrete choice, and count-data models. Course focuses on exploring logistic and probit regression models and learn how to apply them in the statistical software package Stata, it covers interpretation and hypothesis for testing these kinds of models. Against this background, participants will consider more complicated estimation strategies, including ordered logit and probit regression models, multinomial logits, count models, or discrete duration models. ",null,"nie","áno",2,"","","",""]
["UN282","Universtiy of Essex","Machine Learning for Social Scientists","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1k/","The goal of this course is to introduce participants to the core principles of machine learning and to expose them to a variety of useful algorithms. There is a heavy emphasis on practical examples, which shall be programmed using R.\n\nThe course focuses on supervised learning whereby defined outcomes are used to define predictive performance metrics, which we seek to optimise. Both classification (is X and instance of S?) and regression (what is X’s score) problems are covered. After outlining the general approach of machine learning, with a special emphasis on cross-validation, students will learn about algorithms that are error-based (e.g., regression and support vector machines), information-based (e.g., classification and regression trees), similarity-based (e.g., nearest neighbour algorithms), rule-based (e.g., one-rule), probability-based (e.g., naive Bayes classifiers), and ensemble-based (e.g., random forests).",null,"nie","áno",2,"","","",""]
["UN283","Universtiy of Essex","Introduction to Statistics for Social Science Research with SPSS","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1l/","This course will provide a gentle introduction to quantitative analysis for social science research and to the statistical software SPSS. The course will cover the following topics:\n(a)applications of quantitative analysis for social science research\n(b)the use of statistical software in quantitative analysis\n(c)data and measurement\n(d)descriptive statistics\n(e)assessing relationships between social phenomena\n(f)univariate and multivariate regression analysis\n(g)introduction to logistic regression",null,"nie","áno",2,"","","",""]
["UN284","Universtiy of Essex","Data Analysis and Programming in Stata","Colchester, Veľká Británia",10,12,"2019-07-08","2019-07-19","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/1m/","The purpose of this course is to provide tools to manage and work with large databases using Stata programming tools. The course is designed for new and intermediate Stata users who want to acquire advanced skills in data management and programming in Stata. The course focuses on skills relevant to social science data analysis.",null,"nie","áno",2,"","","",""]
["UN285","Universtiy of Essex","Quantitative Data Analysis with R","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2b/","The module introduces to the practical analysis of quantitative social science data using R. \n\nThis module covers at least the following topics: (1) basic concepts of data analysis with R; (2) data management – working with variables and data frames; (3) summarising data using tables and graphics; (4) linear regression – model construction and interpretation; (5) testing statistical hypotheses in R (5); generalised linear models for categorical responses, counts, and survival times; (6) advanced statistical graphics; (7) multivariate data analysis – principal components, factor analysis, and structural equations. \nIn addition to these, a few more topics are optionally covered, such as random variables, random numbers and Monte Carlo simulations; linear algebra with R and regression in matrix form; multilevel models; or programming techniques.",null,"nie","áno",2,"","","",""]
["UN286","Universtiy of Essex","Multilevel Models: Practical Applications","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2e-multilevel-models-practical-applications/","On this course participants will focus on building on standard single-level models, development of the two-level model with continuous predictors and response. Examples include house-prices varying over districts, and pupil progress varying by school. These models are extended to cover complex variation, both within and between levels, three-level models, and models with categorical predictors and response (the multilevel logit model). Course deals with a consideration of estimators including maximum likelihood (operationalized through iterative generalized least squares. ",null,"nie","áno",2,"","","",""]
["UN287","Universtiy of Essex","Advanced Survey Data Analysis and Survey Experiments","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2c-advanced-survey-data-analysis-and-survey-experiments/","This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analyzing and enriching survey data, including approaches to conducting surveys on sensitive topics, measurement of reported behavior as well as the construction and analysis of panel data and social network studies. The course will also focus on designing and analyzing survey experiments.",null,"nie","áno",2,"","","",""]
["UN288","Universtiy of Essex","Case Study Methods","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2d-case-study-methods/","This course stresses the role of case studies in social science methodology and provides an overview of the principles and practices of case-study analysis.\nCases studies continue to constitute a large proportion of work generated in the social sciences. Similarly, case study research is increasingly used as a tool for policy analysis. ",null,"nie","áno",2,"","","",""]
["UN289","Universtiy of Essex","Introduction to Applied Bayesian Analysis for the Social Sciences","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3k-dynamic-models-for-social-scientists/","This course introduces the basic theoretical and applied principles of Bayesian statistical analysis. The course includes a discussion of the strengths and weaknesses of the Bayesian approach and the philosophical differences between the Bayesian and frequentist approaches. Most of the course content will focus on estimating and interpreting a variety of models (linear, dichotomous and polytomous choice, poisson, missing data, latent variable, and multilevel) from an applied Bayesian perspective.",null,"nie","áno",2,"","","",""]
["UN290","Universtiy of Essex","Panel Data Analysis for Comparative Research","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2g-panel-data-analysis-for-comparative-research/","This course provides a survey of regression models for time series (TS) and time series cross-section (TSCS) data, with an emphasis on modeling dynamics and panel structures. Course gives a review of the theory and estimation of linear regression and maximum likelihood, it covers the following topics: modeling time series dynamics using ARIMA models, lagged dependent variables, and distributed lags; cointegration and error correction models; modeling cross-sectional variation using fixed and random effects; coping with panel heteroskedasticity, and presentation and interpretation of TS and TSCS models. ",null,"nie","áno",2,2,1,"Pokročilým","Kirz je ideálny pre účastníkov, ktorí pracujú v R, robili už s panelovými dátami a chcú sa v tejto oblasti zlepšiť a zistiť, aké testy robiť a akým chybám sa vyhnúť. Takýto študent dostane najvyššiu pridanú hodnotu. Na úspešné absolvovanie kurzu sú potrebné pokročilé znalosti štatistiky a ekonometrie, nie len základy."]
["UN291","University of Essex","Microsimulation modelling for the social sciences","Colchester, Veľká Británia",10,12,"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2j/","The course will cover the following topics:\n– General introduction to micro-simulation modelling in the social sciences\n– Static non-behavioural tax-benefit microsimulation: General structure and an introduction to the EUROMOD simulation platform\n– Behavioural static labour supply models using EUROMOD: Specification options, estimation issues, applications to the microsimulation of reforms.\n– Dynamic microsimulation models: General structure, estimation issues and an introduction to NETLOGO.\n– Agent-based models: General structure and their relationship to dynamic microsimulation, estimation issues.",null,"nie","áno",2,"","","",""]
["UN292","University of Essex","Generalized Linear Models","Colchester, Veľká Británia",{"$f":"NETWORKDAYS(G317,H317,sviatky)","v":10},{"$f":"_xlfn.DAYS(H317,G317)+1","v":12},"2019-07-22","2019-08-02","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2l-generalized-linear-models/","This course is an introduction to generalized linear models (GLM’s).  On the course, participants will consider how to perform regression analysis with the following types of outcome variables: continuous, counts, dichotomous outcomes, ordered categorical outcomes, unordered categorical outcomes, duration, and more.\nThe biggest payoff from this course will likely come from the substantive work you can do by unleashing generalized linear models into social science questions. ",null,"nie","áno",2,"","","",""]
["UN293","University of Essex","Applied Research Methods with Hidden, Marginal and Excluded Populations","Colchester, Veľká Británia",5,5,"2019-07-29","2019-08-02","750 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2s-applied-research-methods/","Focussing on Hard-to-Reach populations, the course provides an introduction to research methods in conducting research, both qualitative and quantitative, on marginal, hidden and excluded population such as children, migrants, refugees and displaced people, sex workers, homeless, victims of conflicts or trafficking, HIV/AIDS, and drug users. Aimed to promote action-oriented research, the course introduces the main theories and research approaches on exclusion and marginalization using different frameworks and techniques. It addresses the dangers associate with the lack of systematic use of solid research methodology, ethics, data collection and analysis in the formulation and evaluation of policies and programs.",null,"nie","áno",2,"","","",""]
["UN294","University of Essex","Quantitative Text Analysis","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/2e-multilevel-models-practical-applications/","This course is an applied introduction to multilevel modelling that aims to give you deep understanding of the standard model. \n\nOn the course, participants will learn to recognize a multilevel structure, specify a multilevel model with complex variation at a number of levels, and fit and interpret a range of multilevel models. \nA distinctive feature of the course is the focus on variance functions estimated simultaneously as several levels.",null,"nie","áno",2,"","","",""]
["UN295","University of Essex","Identifying Causation through Experimental & Quasi-Experimental Research","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3c/","In this course, methods for conducting causal inference in the social sciences are explored.\nStudents will learn a number of causal inference designs – such as experiments, regression discontinuity, matching, and difference-in-difference – that they are able to deploy into their own work. ",null,"nie","áno",2,2,1,"Pokročilým","Kurz je veľmi teoreticky zameraný, za krátky čas je prebraté veľké množstvo tém. Praktické zručnosti je monžé trénovať vo voľnom čase s možnosťou overenia výsledkov podľa poskytnutých zdrojových kódov. Výhodou je malý počet účastnikov - 10 ľudí. "]
["UN296","University of Essex","Maximum Likelihood Estimation","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3e-maximum-likelihood/","On this course students will learn about statistical models for binary, ordinal, unordered categorical, count, and duration dependent variables. They will learn about the statistical theory that is used to build these models, how to run them in Stata or in R, and how to produce results that are elegant and understandable to a wide audience.",null,"nie","áno",2,"","","",""]
["UN297","University of Essex","Bayesian Analysis for the Social and Behavioural Sciences","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3f-bayesian-analysis/","In this course, you will learn the basics of practical Bayesian data analysis.\n\nThe course will deal with the theory behind Bayesian data analysis, and move toward simple, common models in the social sciences, like t tests, ANOVA, and regression. It will cover topics about more complicated models and how these may be fit to the data. Special attention will be given to Markov Chain Monte Carlo (MCMC) methods, which give Bayesian methods their immense flexibility and power. ",null,"nie","áno",2,"","","",""]
["UN298","University of Essex","Methods for policy analysis and evaluation","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3g-methods-for-policy-analysis-and-evaluation/","The course will include lectures and practical work in STATA. \n\n1. Students will be able to design advanced policy evaluations with quantitative methods. In particular, they will be able to correctly apply i) regression discontinuity designs, ii) instrumental variable designs, and iii) difference-in-difference designs.\n2. Students should be able to critically evaluate the empirical soundness of existing policy evaluations",null,"nie","áno",2,"","","",""]
["UN299","University of Essex","Spatial Econometrics","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3h-spatial-econometrics/","This course focuses on detecting, estimating, and analyzing models of spatially dependent data. Spatial interdependence – that the actions, outcomes, behaviors of some units are affected by those of other units – is ubiquitous throughout the social sciences. It includes not simply geographic space, but, more interestingly, any means by which we can conceive of units being linked (e.g., cultural ties, political affiliations, economic relationships).\nThis course demonstrates how to effectively model such dependence using spatial and spatiotemporal econometric models.",null,"nie","áno",2,3,1,"Profesionálom","Prednášajúci boli výborní pedagógovia aj odborníci. Kurz bol veľmi teoreticky zameraný, bez výraznej aplikovanej časti. Kurz šiel do hĺbky, ale chýbali praktické príklady. "]
["UN300","University of Essex","Confirmatory Factor Analysis and Structural Equation Modeling with MPLUS","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3i-sem/","The course shows how a Measurement model and a substantive model can be translated into a structural equation model, and how the model can be estimated and tested with the MPLUS 8 computer program. It deals with confirmatory factor analysis (CFA) relating single or multiple indicators to one (CFA) or several latent variables (Simultaneous Confirmatory Factor Analysis and second order confirmatory factor analysis). \n\nSpecial emphasis is given to the cross cultural analysis of multiple groups (MGCFA) for comparisons within and between societies and over time points(repeated cross-sections) including intercepts of observed variables and latent means. \nSpecial emphasis is directed toward the use of the multiple-group option, for cross-national comparisons of both the measurement and the structural model. A major focus will be the process of model modification and alternative model testing using adequate fit measures and how to report CFA and SEM results. ",null,"nie","áno",2,"","","",""]
["UN301","University of Essex","Advanced Quantitative Data Analysis","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3j-advanced-quantitative-data-analysis/","Building on students’ knowledge in simple linear regression, this course introduces more advanced statistical techniques. We will focus on the following topics: 1) Subclassification, matching, and propensity score weighting as fundamental strategies to reduce confounding; 2) Common interpretations of the OLS estimator; 3) Robust inference with cluster-robust standard errors as well as bootstrap estimators; 4) Classical exposition of various biases and introduction to causal graphs to select control variables; 5) Specification and interpretation of interactions and non-linear effects; 6) Instrumental variable estimation with two-stage least-squares and the Heckman estimator for selected samples; 7) Two-way fixed effects and the difference-in-difference estimator with panel data; 8) Generalized linear models with examples for limited dependent variables and a discussion on structural parameters vs. causal estimands. ",null,"nie","áno",2,"","","",""]
["UN302","University of Essex","Time Series and Panel Models for Dynamic and Heterogeneous Processes","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3k/","This is an applied course for social scientists that focuses on dynamic models of time series data in single and multiple units (panels). The course introduces fundamental concepts in time series analysis and core issues of heterogeneity when combining multiple time series.The course considers single and multiple-unit time series with ARMA structures. Then, several widely used models involving cointegration and error correction, VAR and VECM, ARCH and GARCH and Markov switching processes are discussed. ",null,"nie","áno",2,"","","",""]
["UN303","University of Essex","Ideal Point Estimation and Scaling Methods","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3l-ideal-point-estimation-item-response-theory-and-scaling-methods/","This course focuses on methods to discover and understand latent patterns in data. \nThe course introduces students to measurement theory and methods of ideal point estimation, as well as related scaling techniques, including item response theory.\nThe course will demonstrate how to interpret latent dimensions of data via a variety of ideal point estimation and scaling methods using the open-source programming language R. The course will also discuss a range of applications these methods to social science studies of relational and perception data derived from elite behaviour and surveys. It also deals with recent advances in the field and practical advice for those seeking to use such methods.",null,"nie","áno",2,"","","",""]
["UN304","University of Essex","Advanced Machine Learning for Social Scientists","Colchester, Veľká Británia",10,12,"2019-08-05","2019-08-16","1 500 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3n-2/","The goal of this course is to introduced students to several machine learning techniques, starting with unsupervised clustering algorithms, then turning to supervised methods, including Bayes classifiers and regression trees, and lastly covering more advanced ensemble approaches.\n\nTo facilitate interpretation and comparison of the different techniques, the implementation of each method will be illustrated via applications to election forensics – an emerging area of scholarship that focuses on using statistical techniques to detect anomalies in election returns. The course will emphasize active learning and will have a strong applied component.",null,"nie","áno",2,"","","",""]
["UN305","University of Essex","Agent Based Models","Colchester, Veľká Británia",5,5,"2019-08-05","2019-08-09","750 GBP","2019-05-01","https://essexsummerschool.com/summer-school-facts/courses/complete-2019-course-list/3p/","By the end of this course, students will learn to turn a rough idea about a social science phenomenon into an account of the agents, behaviors, environments, and their interactions that can then be modeled in NetLogo. In addition to learning about modeling, students will be capable of using concepts and code from existing models, of turning their concepts into code, and of analyzing and evaluating the models that they create. ",null,"nie","áno",2,"","","",""]
["UT306","Utrecht University","Introduction to Structural Equation Modelling using Mplus","Utrecht, Holandsko",5,5,"2019-07-08","2019-07-12","800 EUR","2019-06-24","https://www.utrechtsummerschool.nl/courses/social-sciences/introduction-to-structural-equation-modelling-using-mplus","The main objective of the course is to acquire a basic understanding of how to use Mplus for SEM as applied in the social and behavioural sciences. Moreover, participants will learn how to analyze datasets with Mplus, to interpret the output and to report the results.",null,"áno","nie",2,"","","",""]
["UT316","Utrecht University","Introduction to GIS for Human and Behavioral Scientists","Utrecht, Holandsko",5,5,"2019-07-08","2019-07-12","500 EUR","2019-06-01","https://www.utrechtsummerschool.nl/courses/social-sciences/introduction-to-gis-for-human-and-behavioral-scientists","This course aims at highlighting the specific qualities of GIS regarding visualization and combination of datasets with a spatial component. Several topics will be covered, such as introduction to ArcGIS 10.4 and a presentation of data and results.\n\nIn this course the lecturers cover topics including various types of geo-data, collecting, geo-referencing and projecting of address data, data visualization and thematic mapping in ArcGIS, use of ‘Basemaps’ and other public data sources, proximity based analysis, data and result presentation in ArcGIS.\n\nThe course will provide the students with insight in the principles of sense making of GPS Data in a GIS environment. \nSpecific objectives to the course are to provide insights and training in: \n\n-\tUse of public geo- and statistical data\n-\tData capture through geo-referencing\n-\tThematic mapping of survey or statistical data\n-\tAirline distance (proximity) based analysis",null,"áno","nie",2,1,1,"Začiatočníkom","Manuál, ktorí účastníci dostali je veľmi ľahko použiteľný aj na praktické príklady, ktoré riešia vo svojej pracovnej náplni. Využíva sa však program ArcGIS, ktorý služobný úrad nemá zakúpený, takže získané zručnosti musia byť preklápané do open source softvéru."]
["UT317","Utrecht University","Hypothesis Evaluation: P-Values, Bayes Factor, and Information Criteria","Utrecht, Holandsko",4,4,"2019-07-08","2019-07-11","550 EUR","2019-06-24","https://www.utrechtsummerschool.nl/courses/social-sciences/hypothesis_evaluation_p_values_bayes_factor_and_information_criteria","This course discusses the evaluation of theory-based hypotheses using p-values, the Bayes factor, and information criteria. T\n\nThis course will be also used to give a hand-on introduction to statistical analyses using R. \n\nCourse deals with an introduction of information criteria (i.e., AIC and its generalization called the GORIC) and a brief repetition of theory-based hypotheses. It will be elaborated how the GORIC can be used to evaluate null, alternative, and theory-based hypotheses. There will be attention for GORIC weights, which have a nice interpretation. ",null,"áno","nie",2,"","","",""]
["UT307","Utrecht University","Introduction to Multilevel Analysis","Utrecht, Holandsko",3,3,"2019-07-10","2019-07-12","650 EUR","2019-06-21","https://www.utrechtsummerschool.nl/courses/social-sciences/introduction-to-multilevel-analysis","This course will teach participant  the theoretical basics of multilevel modeling and some important methodological and statistical issues. They will also learn how to analyze multilevel data sets with the HLM program, to interpret the output and to report the results. The benefits of multilevel analysis are discussed both in theory as with empirical examples.\nThis course restricts to a quantitative (i.e. continuous) outcome variable. Categorical outcomes are part of the course Advanced Multilevel.",null,"áno","nie",2,"","","",""]
["UT308","Utrecht University","Advanced course on using Mplus","Utrecht, Holandsko",5,5,"2019-07-15","2019-07-19","800 EUR","2019-07-01","https://www.utrechtsummerschool.nl/courses/social-sciences/advanced-course-on-using-mplus","This is a five-day course on structural equation modeling (SEM) using Mplus. This course will teach participants about advanced longitudinal analyses. The course consists of in-depth lectures on the fundamentals of Mplus and advanced longitudinal models.",null,"áno","nie",2,"","","",""]
["UT309","Utrecht University","Data Science: Statistical Programming with R","Utrecht, Holandsko",5,5,"2019-07-15","2019-07-19","800 EUR","2019-07-01","https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-statistical-programming-with-r","This course offers an elaborate introduction into statistical programming in R. Students learn to operate R, form pipelines for data analysis, make high quality graphics, fit, assess and interpret a variety of statistical models and do advanced statistical programming. The statistical theory in this course covers t-testing, regression models for linear, dichotomous, ordinal and multivariate data, statistical inference, statistical learning, bootstrapping and Monte Carlo simulation techniques.",null,"áno","nie",2,"","","",""]
["UT310","Utrecht University","Data Science: Multiple Imputation in Practice","Utrecht, Holandsko",4,4,"2019-07-22","2019-07-25","750 EUR","2019-07-08","https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-multiple-imputation-in-practice","On this course participants will learn how to form imputation models, how to combine data sets, how to model non-response, how to use diagnostics to inspect the imputed values, how to obtain valid inference on incomplete data and how to avoid many of the pitfalls associated with real-life missing data problems.\n\nThe course will explain the principles of missing data theory, outline a step-by-step approach toward creating high quality imputations, and provide guidelines how the results can be reported. The course will use the authors' MICE package in R, and explain how to bridge to mainstream analysis software such as SPSS and Mplus.",null,"áno","nie",2,"","","",""]
["UT311","Utrecht University","Data Science: Data Analysis and Visualization","Utrecht, Holandsko",5,5,"2019-07-29","2019-08-02","800 EUR","2019-07-15","https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-data-analysis-and-visualization","During this course, participants will actively learn how to apply the main statistical methods in data analysis and how to use data mining algorithms and visualizing techniques. The course has a strongly practical, hands-on focus: rather than focusing on the mathematics and background of the discussed techniques, participants will gain hands-on experience in using them on real data during the course and interpreting the results. The course covers both classical and modern topics in data analysis and visualization.",null,"áno","nie",2,"","","",""]
["UT313","Utrecht University","Applied Multivariate Analysis","Utrecht, Holandsko",10,12,"2019-08-12","2019-08-23","900 EUR","2019-08-05","https://www.utrechtsummerschool.nl/courses/social-sciences/applied-multivariate-analysis","This summer school course offers hands-on experience using SPSS for the most frequently encountered multivariate statistical techniques in the social and behavioural sciences. The emphasis is on applying multivariate techniques using the computer programme SPSS, and on how to interpret the SPSS output in substantive terms. ",null,"áno","nie",2,"","","",""]
["UT312","Utrecht University","Survey Research: Design, Implementation and Data Processing","Utrecht, Holandsko",5,5,"2019-08-19","2019-08-23","800 EUR","2019-08-05","https://www.utrechtsummerschool.nl/courses/social-sciences/survey-research-design-implementation-and-data-processing","This course covers the essentials of modern survey methodology and analysis. Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, and measurement error, including questionnaire and mode effects), while balancing logistics and survey costs. Best practice guidelines for phases of the survey from design to implementation, analysis and reporting will be discussed.",null,"áno","nie",2,"","","",""]
["UT314","Utrecht University","Introduction to Econometrics using Stata","Utrecht, Holandsko",9,12,"2019-08-19","2019-08-30","1 150 EUR","2019-08-15","https://www.utrechtsummerschool.nl/courses/law-economics/introduction-to-econometrics-using-stata","During the course students will get an introduction to the statistical software package Stata that will be used to solve computer exercises. \n\nThe aim of this intensive course is to provide an introduction to the linear regression model that is used in Econometrics. The course will refresh the principles of statistics, such as basic probability, statistical estimators, and statistical hypothesis testing. Next, it considers the multivariate linear regression model on many topics such as the Ordinary Least Squares estimator, the interpretation of the regression parameters, the standard error of the OLS-estimator, unbiased estimators, t-test and F-test, perfect multicollinearity, consequences of omitted variables, consequences of irrelevant variables , interaction effects, dummy variables, heteroskedasticity, time-series regression models, exogeneity and autocorrelation. ",null,"áno","nie",2,3,1,"Začiatočníkom","Vhodné pre účastníkov bez predošlej rozsiahlejšej skúsenosti s ekonometriou/Statou. Prevažovala teória.Kurz bol zameraný viac na praktické zručnosti. "]
["UT315","Utrecht University","Survey Research: Statistical Analysis and Estimation","Utrecht, Holandsko",4,5,"2019-08-26","2019-08-30","800 EUR","2019-08-12","https://www.utrechtsummerschool.nl/courses/social-sciences/survey-research-statistical-analysis-and-estimation","The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects. ",null,"áno","nie",2,"","","",""]
["VU317","VU University Amsterdam","Data Analysis in R","Amsterdam, Holandsko",10,15,"2019-07-06","2019-07-20","1 150 EUR","2019-05-01","http://bachelors.vu.amsterdam/en/summer-school/courses/dataanalysisinrsessiontwo/index.aspx","This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics. \n\nIt starts with descriptive statistics and visual representation of data, then introduces the linear regression model, a widely used model with two main purposes: modeling relationships among the data and predicting future observations. After that, linear model is extended to the generalized linear framework, in order to analyse non-normally distributed variables. Course focuses on a common problem in statistics: classification. It explores the two main areas of classification (supervised learning and unsupervised learning) with theory and examples.",null,"nie","áno","",1,1,"Začiatočníkom","Kurz vyžaduje základné vedomosti z oblasti štatistiky na ktorých ďalej stavia. Úroveň kurzu bola z pohľadu účastníka vysoká. Podľa vyjadrenia pedagógov by sa mal kurz do budúcnosti rozčleniť na kurz pre začiatočníkov a pre pokročilých, pričom v kurze pre začiatočníkov by sa už nevyžadovali predchádzajúce vedomosti."]
["VU316","VU University Amsterdam","Data Analysis in R","Amsterdam, Holandsko",10,15,"2019-07-20","2019-08-03","1 150 EUR","2019-05-01","http://bachelors.vu.amsterdam/en/summer-school/courses/dataanalysisinrsessionone/index.aspx","This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics. \n\nIt starts with descriptive statistics and visual representation of data, then introduces the linear regression model, a widely used model with two main purposes: modeling relationships among the data and predicting future observations. After that, linear model is extended to the generalized linear framework, in order to analyse non-normally distributed variables. Course focuses on a common problem in statistics: classification. It explores the two main areas of classification (supervised learning and unsupervised learning) with theory and examples.",null,"nie","áno","",1,1,"Začiatočníkom","Kurz vyžaduje základné vedomosti z oblasti štatistiky na ktorých ďalej stavia. Úroveň kurzu bola z pohľadu účastníka vysoká. Podľa vyjadrenia pedagógov by sa mal kurz do budúcnosti rozčleniť na kurz pre začiatočníkov a pre pokročilých, pričom v kurze pre začiatočníkov by sa už nevyžadovali predchádzajúce vedomosti."]
["VU318","VU University Amsterdam","Big Data Management and Analysis in Linux","Amsterdam, Holandsko",10,15,"2019-08-03","2019-08-17","1 150 EUR","2019-05-01","http://bachelors.vu.amsterdam/en/summer-school/courses/bigdatamanagementandanalyisisinlinux/index.aspx","This course will introduce programming in a Linux environment and teach how to efficiently manage very large datasets (e.g. using sed, awk, and grep commands) and create simple shell scripts to analyze your data (e.g. using a Linux version of the freely available statistics program R). Participants will also learn how to visualize their data and results in customized plots and figures. ",null,"nie","áno","","","","",""]
["WB001","World Bank","The 16th Overview Course of Financial Sector Issues: Financial Systems in the Era of Data and Technology","Washington, USA",5,5,"2019-06-24","2019-06-28","1 500 USD",null,"http://www.worldbank.org/en/events/2019/06/24/overview-course-of-financial-sector-issues-financial-systems-in-the-era-of-data-and-technology","Throughout the training, participants will hear the views of leading financial experts on the more traditional role of the financial sector as well as how big data and new financial technologies are reshaping finance all over the world. Participants will have the opportunity to ask questions, interact and engage in discussions with renowned scholars, policy experts and prominent industry figures, who will identify the critical questions related to each topic. ","Early bird registration before March 31, 2018 will receive a US$ 200 discount.","nie","nie","","","","",""]
["AC206","ACREA CR","Základy statistiky pro analýzu dat","Praha, Česko",3,3,"2019-10-14","2019-10-16","480 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/","The aim of the course is to introduce the participants to the basics of statistical work and data analysis, to acquaint them with the concepts, methods and means for:\n• file description\n• comparing groups\n• association and correlation analysis.\nTopics are evenly distributed between analysis of numerical data and frequency (percent). Students will also learn how to work with professional statistical software IBM SPSS Statistics.",null,"nie","nie",1.9,2,1,"Začiatočníkom","Kurz bol vyvážený z hľadiska teórie a praxe , poskytol rozšírenie vedomostí aj mimo pracovnej náplne. Pedagógovia boli dobrí aj ako odborníci aj ako učitelia."]
["AC207","ACREA CR","Regresní analýza I","Praha, Česko",1,1,"2019-11-19","2019-11-19","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","This course includes models of one-dimensional and multi-dimensional linear regression analysis for numeric variables. Emphasis is on the importance and construction of the basic model, tests of hypotheses on its parameters and on the selection of suitable predictors using automatic procedures. Course also includes:\n-\ta simple equation model with one independent variable\n-\tpoint two-dimensional graph; correlation and linear regression equation (line)\n-\tproperties of simple linear regression, principle of least squares method\n-\thypothesis tests and straight line parameter estimation, determination coefficient\n-\tresidues and simple residual analysis\n-\tmodels of nonlinear relations - curves convertible to linearity\n-\texplanation and prediction by regression equation\n-\tmultiple linear regression model - extension to multiple independent variables\n-\tthe meaning of the equation results and parameters\n-\ttesting parameters and testing the significance of the relationship\n-\tsequential procedures for determining predictors\n\n",null,"nie","nie",1.9,2,2,"Pokročilým","Pre absolvovanie kurzu je nutná znalosť korelačnej analýzy príp. absolvovanie kurzu Korelační analýza. Kurz splnil očakávania a rozšíril znalosti aj mimo pracovej náplne hodnotiteľov. "]
["AC208","ACREA CR","Regresní analýza II","Praha, Česko",{"$f":"NETWORKDAYS(G349,H349,sviatky)","v":1},{"$f":"_xlfn.DAYS(H349,G349)+1","v":1},"2019-11-20","2019-11-20","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","This course deals with verification of correctness and suitability of linear regression model. It extends the model possibilities for refining the description of relationships and offers a diagnostic-predictive apparatus. It deals with categorized predictors and analysis of their influence on dependent variable, nonlinear and interaction members in the equation. Methods of model evaluation by means of residues and characteristics of influence of individual observations. Predictive role of regression equations and valuation of their prediction force so that the resulting equations correspond to the data reality.",null,"nie","nie",1.9,2,2,"Pokročilým","Kurz by si zaslúžil väčší časový prídel. Pre využitie kurzu je ideálne, ak zamestnanec pracuje pravidelne s SPSS a so štatistickými modelmi."]
["AC209","ACREA CR","Korelační analýza","Praha, Česko",1,1,"2019-11-18","2019-11-18","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","The aim of this course is to acquaint students with correlation measures for numerical data and their application in various practical situations. Topic  is illustrated and practiced on real data from analytical practice. Students will acquire sufficient knowledge for independent correct use of correlations in their own analyzes.",null,"nie","nie",1.9,1.5,2,"Začiatočníkom","Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."]
["AC210","ACREA CR","Úvod do bayesovské analýzy dat","Praha, Česko",1,1,"2019-11-04","2019-11-04","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/uvod-do-bayesovske-analyzy-dat/","The aim of the course is to acquaint participants with the basic logic of Bayesian statistics, to explain basic concepts and procedures and to show its advantages on simple analogies to frequency statistics (t-tests, variance analysis and regression analysis). Teaching emphasizes principles, practical application of tasks in IBM SPSS Statistics and interpretation of results.",null,"nie","nie",1.9,"","","",""]
["AE021","AdeptEvents","A Business-oriented Approach to Data Modelling","Utrecht, Holandsko",2,2,"2019-11-25","2019-11-26","1 450 EUR",null,"https://adeptevents.nl/event/data-modelling-a-business-oriented-approach-to-entity-relationship-modelling?lang=en","This workshop introduces entity-relationship modelling from a non-technical perspective, thoroughly covering the basic components of a data model – entities, relationships, attributes, and identifiers.  In addition to showing how and when to use these components in developing a data model, it includes far more advice on the process of developing a data model than other courses, including specific methods for getting subject matter experts involved and maintaining their commitment. The content is presented within the context of a clearly-defined, three-phase data modelling methodology that supports progressive detail and precision. Two points are worth emphasizing: This workshop is packed with practical tips, techniques, “scripts,” checklists, and guidelines for the analyst. All of the material is based on years of project experience; abstract theory is avoided; The emphasis is on “business-friendly” techniques which support and encourage the full involvement of non-technical subject matter experts, which is essential for quality data models.","The Early Bird rate of € 1.305,00 expires after 26 October 2019. Register now and receive discount!","nie","nie",1.07,1.5,2,"Začiatočníkom","Výhodou kurzu je prax prevažujúca nad teóriou a pedagógovia-odborníci. "]
["KI206","Kiel Institute for World Economy","Macroeconomics in Open Economies","Kiel, Nemecko",5,5,"2019-09-02","2019-09-06","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/macroeconomics-in-open-economies-evi-pappa/",null,null,"nie","áno","","","","",""]
["KI207","Kiel Institute for World Economy","Monetary Economics","Kiel, Nemecko",4,4,"2019-09-16","2019-09-19","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/monetary-economics-gianluca-benigno/",null,null,"nie","áno","","","","",""]
["KI208","Kiel Institute for World Economy","Economic Growth","Kiel, Nemecko",5,5,"2019-10-14","2019-10-18","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/economic-growth-david-hemous/",null,null,"nie","áno","","","","",""]
["KI209","Kiel Institute for World Economy","Forecasting methods","Kiel, Nemecko",5,5,"2019-11-11","2019-11-15","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/forecasting-methods/",null,null,"nie","áno","","","","",""]
["KI210","Kiel Institute for World Economy","Applied Microeconometrics","Kiel, Nemecko",5,5,"2019-12-09","2019-12-13","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/applied-microeconometric-methods-sourafel-girma/",null,null,"nie","áno","","","","",""]
["KI211","Kiel Institute for World Economy","Topics in International Trade","Kiel, Nemecko",3,3,"2019-12-16","2019-12-18","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/topics-in-international-trade-arnaud-costinot/",null,null,"nie","áno","","","","",""]
["EU190","European Institute of Public Administration (EIPA)","Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027 (3-day Course)","Praha, Česko",3,3,"2019-10-16","2019-10-18","1 550 EUR",null,"https://www.eipa.eu/product/eu-structural-cohesion-funds-3-days/","At the end of the seminar, participants should have a clear understanding of all the urgent evaluation and monitoring requirements associated with current programmes. Participants should also have a quick general tool kit for undertaking impact evaluations for projects and programmes. Mini-workshops and exercises are used both to develop simulations of essential elements of evaluation and monitoring to provide a clear view of good practice in the key disciplines involved. Member States are now conducting evaluations of their EU Structural and Cohesion Funds programmes. Are the programmes and Funds delivering Value for Money? What is monitoring data telling us and can we expect programmes to achieve their many objectives? How do we measure and understand the impacts? Which evaluation method should be used – theory-based or counter-factual? This 2-stage seminar examines these questions and others relating to the evaluation and monitoring of the Structural and Cohesion Funds in 2014-2020 and looks forward to changes for 2021-2027: Stage 1 (Day 1) deals with monitoring tasks, indicators and the Performance Framework. We will look at whether milestones were reached by the end of 2018? The Czech Ministry of Regional Development will provide insight into progress in their programmes. We will review other monitoring requirements and see how these are to change in 2021-2027. Stage 2 (Days 2 & 3) examines how to conduct “evaluations during the programming period”. Senior evaluation consultant-economists with vast programme experience will focus on the two recommended evaluation methods – theory-based and counterfactual evaluations – and the challenges for programme evaluations on the ground. We will also describe how to complete an ex post cost-benefit analysis (ex post CBA) for infrastructure and other large projects. You will also learn how to manage evaluation studies, including aspects of fieldwork, and be aware of the typical live issues for your current / planned evaluations\n",null,"nie","nie",2,"","","",""]
["EU191","European Institute of Public Administration (EIPA)","Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027 (2-day Course)","Praha, Česko",2,2,"2019-10-17","2019-10-18","1 100 EUR",null,"https://www.eipa.eu/product/eu-structural-cohesion-funds-2-days/","Member States are now conducting evaluations of their EU Structural and Cohesion Funds programmes. Are the programmes and Funds delivering Value for Money? What is monitoring data telling us and can we expect programmes to achieve their many objectives? How do we measure and understand the impacts? Which evaluation method should be used – theory-based or counter-factual? This seminar examines these questions and others relating to the evaluation and monitoring of the Structural and Cohesion Funds in 2014-2020 and looks forward to changes for 2021-2027: How to conduct evaluations during the programming period”. Senior evaluation consultant-economists with vast programme experience will focus on the two recommended evaluation methods – theory-based and counterfactual evaluations – and the challenges for programme evaluations on the ground. We will also describe how to complete an ex post cost-benefit analysis (ex post CBA) for infrastructure and other large projects. You will also learn how to manage evaluation studies, including aspects of fieldwork, and be aware of the typical live issues for your current / planned evaluations. We review the evaluation and monitoring requirements for 2014-2020 and describe how these will change for 2021-2027","Please note that this 2-day seminar is also part of a (two stage) 3-day seminar. Day 1 (stage 1) of the 3-day seminar examines in detail: Structural Funds monitoring requirements, generating good indicators and using the Performance Framework. For participants of the 2-day seminar only, we assume you are already familiar with this material.","nie","nie",2,"","","",""]
["EU192","European Institute of Public Administration (EIPA)","Performance Auditing of EU Co-Funded Investments carried out by the European Court of Auditors","Lisabon, Portugalsko",3,3,"2019-11-13","2019-11-15","1 350 EUR",null,"https://www.eipa.eu/product/performance-auditing-eu-co-funded-investsments/","This course is about the ambition of the EU to be more results oriented in a framework where performance and results were the key words. Performance will be even more important in the next programming period 2021-2027, which we already started to prepare. This highly practical course presents all aspects of each stage of the performance audit process. It includes the unique feature of providing an insight into how the European Court of Auditors plan, prepare and implement their audit assignments, covering real-life audit case studies and experiences of the Court’s teams. It also explains the rules proposed for performance measurement for the 2021-2027 period, has some unique features and insights with regard to the analysis of costs and benefits, explains in detail the methodologies and tools used, as well as demonstrates the strength of Key performance Indicators, and, how to use them. The new aspect is that, while applying for this course, you will be given the opportunity to choose the preferred case study to work upon in a range of different audits proposed by the Court’s team.",null,"nie","nie",2,"","","",""]
["IC001","International Training Centre","Academy on Social Security ","Turín, Taliansko",10,12,"2019-09-16","2019-09-27","3 735 EUR","2019-08-16","https://www.itcilo.org/en/areas-of-expertise/social-protection/academy-on-social-security","The Academy on Social Security offers a unique opportunity to benefit from a diversified training package on the governance, financing, reform and extension of social protection systems. Participants will tailor-make their own two-week course by choosing from several elective courses, and will benefit from an innovative and dynamic learning environment.","By taking this course you are taking a step towards earning the Diploma for Social Protection Analysts. The Diploma is composed of four social protection courses. Participants need to complete three courses out of the four qualified courses within a 5-year period in order to earn the “Social Protection Analysts” recognition. The Diploma represents 380 learning hours. For each eligible course, the assessment process establishes whether participants have a full grasp of the skills and concepts included, resulting in a course-specific Certificate of Achievement issued by ITCILO Turin. To earn the “Social Protection Analyst” certification participants need to complete three courses and then undertake a capstone assessment demonstrating the consolidated learning of the courses combined. The capstone assessment consists of a written assignment which uses analytical approaches from the three completed courses to develop policy recommendations for a specific country context.","áno ","áno ","",2,1,"Pokročilým","Kurz je určený analytikom, ktorí si chcú rozšíriť odborné vedomosti  o systémoch sociálneho zabezpečenia. Predovšetkým bol zameraný na policy issues, menej na analytické metódy."]
["IC002","International Training Centre","Public finance for social protection analysts","Turín, Taliansko",10,12,"2019-10-07","2019-10-18","3 735 EUR","2019-09-06","https://www.itcilo.org/en/areas-of-expertise/social-protection/public-finance-for-social-protection-analysts","Recent years have seen a remarkable growth in recognition of the role social protection plays in economic and social development. A growing number of countries have been taking steps to expand social protection and extension of social protection coverage by 2030 is a target under Goal 1 of the Sustainable Development Goals. A central challenge nevertheless remains how to finance the social protection systems, not least in the context of a diverse array of other priorities for government spending. This course aims to equip social protection practitioners with the practical skills to assess financing options for social protection and develop tailored country financing plans. An important feature of the course is to bring together the worlds of public finance and of social protection. Through an intensive learning journey the course provides a grounding in core dimensions of public finance including revenue collection and budget development, while building the understanding and skills necessary for analysis of social protection financing. While the course will include some exploration of the financing of social protection through employee/employer contributions, the main focus will be on schemes financed by general revenues.","By taking this course you are taking a step towards earning the Diploma for Social Protection Analysts. The Diploma is composed of four social protection courses. Participants need to complete three courses out of the four qualified courses within a 5-year period in order to earn the “Social Protection Analysts” recognition. The Diploma represents 380 learning hours. For each eligible course, the assessment process establishes whether participants have a full grasp of the skills and concepts included, resulting in a course-specific Certificate of Achievement issued by ITCILO Turin. To earn the “Social Protection Analyst” certification participants need to complete three courses and then undertake a capstone assessment demonstrating the consolidated learning of the courses combined. The capstone assessment consists of a written assignment which uses analytical approaches from the three completed courses to develop policy recommendations for a specific country context.","áno ","áno ","","","","",""]
["IC003","International Training Centre","Impact assessment for social protection analysts","Turín, Taliansko",9,12,"2019-10-21","2019-11-01","3 735 EUR","2019-09-20","https://www.itcilo.org/en/areas-of-expertise/social-protection/impact-assessment-for-social-protection-analysts?set_language=en","Impact assessment is a central component of the social protection policy planning process. It is key for identifying gaps and weaknesses in existing social protection provision, and is a valuable tool for evaluating the potential impact of proposed initiatives. This course aims to equip participants with the skills to dynamically assess the effectiveness and efficiency of social protection systems as they evolve over time. The course will be centred around the use of administrative and household survey data for the purpose of impact assessment of social protection systems, while also introducing participants to key considerations in the design of scheme-specific impact evaluations.","By taking this course you are taking a step towards earning the Diploma for Social Protection Analysts. The Diploma is composed of four social protection courses. Participants need to complete three courses out of the four qualified courses within a 5-year period in order to earn the “Social Protection Analysts” recognition. The Diploma represents 380 learning hours. For each eligible course, the assessment process establishes whether participants have a full grasp of the skills and concepts included, resulting in a course-specific Certificate of Achievement issued by ITCILO Turin. To earn the “Social Protection Analyst” certification participants need to complete three courses and then undertake a capstone assessment demonstrating the consolidated learning of the courses combined. The capstone assessment consists of a written assignment which uses analytical approaches from the three completed courses to develop policy recommendations for a specific country context.","áno ","áno","","","","",""]
["IC004","International Training Centre","Actuarial modeling for social protection analysts","Turín, Taliansko",10,12,"2019-11-18","2019-11-29","3 735 EUR","2019-10-18","https://www.itcilo.org/en/areas-of-expertise/social-protection/actuarial-modeling-for-social-protection-analysts","National public pension systems are designed to sustain income security and prevent poverty. In most countries, they redistribute funds which are significant portions of the national GDP. Efficient governance supported by sound quantitative studies can make a lasting difference. Financial specialists working for social protection schemes must deal with uncertain future events and with complex interrelated systems. They must use projection methods and models for empowering policy-makers in the design and monitoring of pension schemes. The workshop on Actuarial Modeling for Social Protection Analysts will help social security staff responsible for quantitative studies, social budgeting and actuarial modeling to do their job more efficiently.","By taking this course you are taking a step towards earning the Diploma for Social Protection Analysts. The Diploma is composed of four social protection courses. Participants need to complete three courses out of the four qualified courses within a 5-year period in order to earn the “Social Protection Analysts” recognition. The Diploma represents 380 learning hours. For each eligible course, the assessment process establishes whether participants have a full grasp of the skills and concepts included, resulting in a course-specific Certificate of Achievement issued by ITCILO Turin. To earn the “Social Protection Analyst” certification participants need to complete three courses and then undertake a capstone assessment demonstrating the consolidated learning of the courses combined. The capstone assessment consists of a written assignment which uses analytical approaches from the three completed courses to develop policy recommendations for a specific country context.","áno ","áno","","","","",""]
["IC005","International Training Centre","Labour Market Statistics and Analysis Academy","Turín, Taliansko",10,12,"2019-11-18","2019-11-29","3 735 EUR","2019-10-11","https://www.itcilo.org/en/areas-of-expertise/labour-market-statistics-and-analysis/academy-on-labour-market-statistics-and-analysis?set_language=en","The Academy is being offered to meet the current and future needs of countries to strengthen their labour market statistics and analysis systems in the wake of new international statistical standards and groundbreaking developments in the world of statistics. The Academy will help countries enhance institutional capacity to identify, collect, analyse and disseminate labour market information and other indicators related to decent work, including the SDG indicators. It will emphasize new standards set by the International Conference of Labour Statistics, particularly in the 20th ICLS, which took place in 2018. The Academy will also highlight the relevance of statistics in responding to the different dimensions of the Future of Work, including the rise of non-standard forms of employment.","Early application is strongly recommended since admission is competitive and space is limited!","áno","nie","","","","",""]
["TI269","Timberlake Consultants","Stata Programming Workshop","Londýn, Veľká Británia",3,3,"2019-09-02","2019-09-04","1 160 EUR","2019-08-26","https://www.timberlake.co.uk/courses/stata-programming-workshop-uk-19.html#terms","Stata Programming Workshop is an opportunity for graduate students, academics, researchers and professionals to expand their knowledge of Stata. This 3-day course introduces programming skills to those who have never written a program in Stata.",null,"nie","nie",2,"","","",""]
["TI270","Timberlake Consultants","Policy Evaluation and Structural Equation Models Using Stata","Lisabon, Portugalsko",4,4,"2019-09-10","2019-09-13","670 GBP","2019-09-04","https://www.timberlake.co.uk/courses/policy-evaluation-sem-stata-pt.html#prices","Policy-making is about making choices. In order to make an informed choice between several alternative policies, reliable information is needed on what works and what does not work. Such information is ideally based on empirical evidence. Measuring the effect of a policy requires econometric methods. This course aims to bring to the fore the recent advances in the econometrics of policy analysis. The two most commonly used approaches to causal inference are discussed: the Rubin Causal Model (RCM) and Structural Equation Models (SEM). Recent versions of Stata include implementations of these methods. This course aims to introduce the theory of the RCM and SEM and show how to apply the theory using Stata.",null,"nie","nie",2,"","","",""]
["TI271","Timberlake Consultants","2019 Stata Autumn school","Londýn, Veľká Británia",5,6,"2019-09-23","2019-09-28","1 600 GBP","2019-09-17","https://www.timberlake.co.uk/courses/2019-stata-autumn-school-london.html#terms","Our Stata Autumn School comprises a series of six, 1-day courses delivered by experienced biostatisticians and econometricians: Robert Grant founder of BayesCamp (London), Dr Matteo Quartagno from ICTM-UCL (London), Prof Aurelio Tobias from IDAEA-CSIC (Barcelona) and Dr Giovanni Cerulli from CNR-IRCrES (National Research Council of Italy - Research Institute on Sustainable Economic Growth). Each course will include an initial introduction to the topic followed by hands-on examples. There will be plenty of time dedicated to interpretation of the results, discussion of assumptions and comparison of approaches. The separate courses comprising the Stata Autumn School are: Course 1: Introduction to Bayesian Analysis; Course 2: Multivariate Analysis and Unsupervised Learning; Course 3: Analysis of Multilevel and Longitudinal data; Course 4: Dealing with missing data; Course 5: Network Meta-analysis; Course 6: Structural Equation Modelling",null,"nie","nie",2,"","","",""]
["TI272","Timberlake Consultants","Econometrics of program evaluation using stata","Londýn, Veľká Británia",3,3,"2019-09-30","2019-10-02","1 620 GBP","2019-09-24","https://www.timberlake.co.uk/courses/econometrics-of-program-evaluation-uk-19.html#terms","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, Selection models, Instrumental-variables approaches, Difference-in-differences, and Regression discontinuity design. After attending the course, the participant will be able to setting up and managing a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labor market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc., although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets.",null,"nie","nie",2,"","","",""]
["TI273","Timberlake Consultants","Introduction to Stata","Varšava, Poľsko",1,1,"2019-10-25","2019-10-25","125 GBP","2019-10-19","https://www.timberlake.co.uk/courses/introduction-to-stata-pl-19.html#terms","This course provides basic concepts of data management and how to do it efficiently using Stata. We provide several examples and use learning by doing techniques. The course focuses on available Stata commands and additional resources provided by the Stata-users community.",null,"nie","nie",2,"","","",""]
["TI274","Timberlake Consultants","Macroeconomic Density Forecasting & Nowcasting ","Londýn, Veľká Británia",3,3,"2019-10-28","2019-10-30","1 450 GBP","2019-10-22","https://www.timberlake.co.uk/courses/macroeconomic-density-forecasting-nowcasting-9234.html","Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques. The focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews 10. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential. ",null,"nie","nie",2,"","","",""]
["TI275","Timberlake Consultants","Advances in Casual Interference using Stata","Londýn, Veľká Británia",2,2,"2019-10-28","2019-10-29","1 295 GBP","2019-10-22","https://www.timberlake.co.uk/courses/advances-in-causal-inference-using-stata.html#terms","Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata. It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitations.",null,"nie","nie",2,"","","",""]
["TI276","Timberlake Consultants","Automatic selection of explanatory variables with Stata","Frankfurt nad Mohanom, Nemecko",1,1,"2019-11-20","2019-11-20","530 GBP","2019-11-14","https://www.timberlake.co.uk/courses/automatic-selection-of-explanatory-variables-with-stata.html#overview","Our Stata course Automatic selection of explanatory variables with Stata aims at introducing methods suitable to automatically select the relevant explanatory variables of linear regression models. Participants will be introduced to various algorithms/techniques allowing to select the best model among a huge number of potential candidate models. Applications will be done on real data, including cross-sectional data, time series data and Panel-data.",null,"nie","nie",2,"","","",""]
["RC001","European Commission - Joint Research Centre","DYNARE Course - Identification analysis and global sensitivity analysis for Macroeconomic Models 2019","Ispra, Taliansko",3,3,"2019-11-20","2019-11-22","0 EUR","2019-08-02","https://ec.europa.eu/jrc/en/event/workshop/dynare-gsa-macroeconomic-models-2019","In this course, participants receive a general introduction to: methods of identification and global sensitivity analysis; their DYNARE implementation (identification toolbox and global sensitivity analysis toolbox); their application to Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models; techniques for improving speed  of estimations in DYNARE",null,"nie","nie","","","","",""]
["TS005","Tstat","Introductiom to Spatial Analysis for Longitudinal Data","Berlín, Nemecko",3,3,"2019-10-07","2019-10-09","1 513 EUR","2019-09-17","https://www.tstattraining.eu/training/spatial-analysis-longitudinal-data/","Many phenomena in the economics, medical and social fields, such as unemployment, crime rates or infectious diseases, tend to be spatially correlated. Spatial Econometrics, in contrast to standard econometric modelling, exploits cross-sectional and panel data collected with reference to location measured as points in space for dealing with spatial dependence and spatial heterogeneity. Our “Introduction to Spatial Analysis for Longitudinal Data” workshop offers researchers a unique opportunity to acquire the necessary theoretical and empirical toolset for the analysis of spatial longitudinal data, using the more recently developed spatial econometrics methodologies. The workshop begins by providing an overview of the more standard concepts in spatial econometrics and illustrating how one should prepare the data set for spatial analysis, before moving on to review the latest methodologies and commands (both official and user written commands) available in Stata. The workshop concludes by focusing on a number of more recent developments in spatial econometrics allowing simultaneously for serial dynamics, spatial spillovers and common factors. During the course of the workshop attention will also be given to the interpretation and presentation of results obtained. In common with TStat’s course philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. At the end of the workshop, it is expected that participants are able identifying and evaluate which specific econometric method is more appropriate for the analysis in hand.",null,"nie","nie","","","","",""]
["TS006","Tstat","Dynamic Panel Data Analysis","Frankfurt nad Mohanom, Nemecko",3,3,"2019-12-02","2019-12-04","1 513 EUR","2019-11-02","https://www.tstattraining.eu/training/dynamic-panel-data-analysis/","This workshop provides a rigorous overview of existing dynamic panel data analysis techniques, thus offering participants the opportunity to acquire the more advanced technical capabilities currently available for panel data analysis. Participants are provided, through a series of illustrative examples, with a theoretical and applied overview of Instrumental variable analysis (IV) and Generalized methods of moments (GMM), both of which being an important class of estimators for the estimation of dynamic linear panel data models. The course then turns to address more recent issues in dynamic panel data analysis, such as weak instruments with persistent data; instrument proliferation; gaps in the data; estimation with serially correlated errors; robust inference with multiway clustering and the finite-sample performance of estimators and tests. The course concludes by addressing the issues of; i) non-stationarity in long panels, where the time series (as opposed to cross-sectional) characteristic of the data dominates; and ii) cointegration.",null,"nie","nie","","","","",""]
["BE001","Bank of England ","Nowcasting with new data and methods","Londýn, Veľká Británia",2,2,"2019-11-04","2019-11-05","0 EUR","2019-07-29","https://www.bankofengland.co.uk/-/media/boe/files/ccbs/ccbs-prospectus-2019.pdf?la=en&hash=CC52F29880CDDAE54988A3F24065123B0EB633F5","Nowcasting deals with the problem of estimating current and near‑term economic activity. It currently relies heavily on rather coarse‑grained surveys of businesses and consumers designed to monitor indicators of activity, expectations and confidence. Such surveys may struggle to draw a nuanced picture of an economy which is a constantly evolving function of expectations, decisions and activity on multiple time and geographical scales. Recently, new methods that draw on advances more associated with artificial intelligence can be harnessed to improve on such estimates. Novel data sources, such as news, social media, traffic or freight, the flow of payments, micro price movement or satellite imagines, analysed using novel analytical and computational techniques, such as those from machine learning and artificial intelligence, are likely to provide useful insights for mapping out current economic conditions. The event will also serve as a venue to foster the exchange between researchers and practitioners in discussing these developments, how they fit into current decision taking framework and potential risks involved.",null,"nie","nie","","","","",""]
["JR002","Jumping Rivers","Statistical Modelling with R","Edinburgh, Veľká Británia",1,1,"2019-11-08","2019-11-08","400 GBP",null,"https://www.jumpingrivers.com/training/course/statistical-modelling-with-r/","By the end of the day participants will:  have a thorough understanding of popular statistical techniques; have the skills to make appropriate assumptions about the structure of the data and check the validity of these assumptions in R; be able to fit regression models in R between a response variable; understand how to apply said techniques to their own data using R’s common interface to statistical functions; be able to cluster data using standard clustering techniques",null,"nie","nie","","","","",""]
["BA142","Barcelona Graduate School of Economics","Data Analysis and Machine Learning with Python","Barcelona, Španielsko",1,2,"2020-01-10","2020-01-11","1750 EUR","2020-01-02","https://www.barcelonagse.eu/study/professional-courses/data-science-winter-school?utm_source=INOMICS&utm_medium=announcement&utm_campaign=DSWinter20&utm_content=SaveTheDate&utm_term=July","Participants will get a quick, condensed and hands-on introduction to programming and data analysis with Python, fundamental methods in modern Statistics and Machine Learning and the tools in Python for implementing them.","The course is evaluated by a 1-hour test that is carried out at the end of the course. Reduced Fees are available for Students, and Early Bird Discount is offered for confirmations by December 11, 2019","nie","áno",1.99,"","","",""]
["KI212","Kiel Institute for World Economy","Topics in International Macroeconomics and Finance","Kiel, Nemecko",3,{"$f":"_xlfn.DAYS(H381,G381)+1","v":3},"2020-02-24","2020-02-26","1800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/topics-in-international-macroeconomics-and-finance-matteo-maggiori/",null,"There is no application deadline, but early application is recommended. Student rate EUR 760.","nie","nie","","","","",""]
["AC211","ACREA CR","Analýza kategorizovaných dat I - dvourozměrné kontingenční tabulky četností","Praha, Česko",0,1,"2020-01-06","2020-01-06","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","The course is designed for all analysts who work with categorized and qualitative data, science workers, market researchers, research report users, and all decision makers based on statistical data, or use statistical reports for both operational and strategic conclusions.\n\nPROGRAM KURZU\n- četnosti pro jevy – dichotomická proměnná a vícehodnotová kategorizovaná proměnná – typy a vznik dat\n- rozložení četností a hypotéza dobré shody – chí-kvadrát\n- tabulka 2×2: testy Pearsonův a McNemarův\n- komparace rozložení a vztahy mezi proměnnými – testy homogenity a nezávislosti\n- struktura vztahů: korespondence/korelace/residua – znaménkové schéma\n- (jednoduchá) analýza korespondencí\n- seskupování řádků\n- použití asociačních stromů pro analýzu tabulky\n- míry asociace a změny\n","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n 590 € + 21% DPH za 3 kurzy\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III \n","nie","nie",1.9]
["AC212","ACREA CR","Analýza kategorizovaných dat II - vícerozměrné kontingenční tabulky četností","Praha, Česko",1,1,"2020-01-07","2020-01-07","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-ii/","The course is designed for all analysts who work with categorized and qualitative data, science workers, market researchers, research report users and anyone making statistical decisions, or using statistical reports for both operational and strategic conclusions.\nCOURSE PROGRAM\n- tasks for multivariate frequency data - testing and exploration\n- classification of the third degree and hypothesis tests related to it; partial association\n- Burt table and paired association relations\n- multivariate correspondence analysis\n- graphical representation of relationships between categories - perception maps, relational maps\n- association trees and sequential search for interactions in the pivot table\n- trees: search for homogeneous subsets / segments","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n 590 € + 21% DPH za 3 kurzy\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III ","nie","nie",1.9]
["AC213","ACREA CR","Analýza kategorizovaných dat III- logaritmicko-lineární modely","Praha, Česko",1,1,"2020-01-08","2020-01-08","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/","The course is designed for all analysts who work with categorized and qualitative data, science workers, market researchers, users of research reports who interpret the results of analyzes, and anyone who makes decisions based on statistical data.\nCOURSE PROGRAM\n- analysis of relations in tables of two variables - model and its assumptions\n- test of independence hypothesis for two variables using log-linear model\n- Specification and testing of multivariate model - partial association\n- automated search for relationship structure: hierarchical search for associations\n- rectangular and square tables, standard and non-standard hypotheses\n- blocked fields and incomplete tables\n- procedures for the detailed examination of the relationships in the table","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n 590 € + 21% DPH za 3 kurzy\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III ","nie","nie",1.9]
["AC220","ACREA CR","Hierarchické lineární modelování","Praha, Česko",1,1,"2020-01-27","2020-01-27","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/hierarchicke-linearni-modelovani/","The course introduces concepts, procedures and examples of using the basic two-stage model and the idea of ​​a three-stage model.\n\n\n\nPROGRAM KURZU\n\n\n\nhierarchický model\nproblémy lineárního modelu v situaci skupinek\nteoretické důvody pro jeho použití\nstatistické důvody pro jeho použití\nANOVA a ANCOVA v HLM\nHLM a smíšené lineární modely\nlineární model s fixními předpoklady\nnáhodné koeficienty\npřechod hierarchického modelu na smíšený model\nmodely dvou stupňů\nANOVA a ANCOVA\nrůzné aplikace\nrůzná rozšíření\n",null,"nie","nie",1.9]
["AC214","ACREA CR","Analýza dat ve zdravotnictví","Praha, Česko",3,3,"2020-02-17","2020-02-19","540 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-dat-ve-zdravotnictvi/","The aim of the course is to present basic concepts, procedures and methods of statistical data analysis to doctors, medical students and other health care professionals in a comprehensible form. During the course, students will also learn how to work with professional statistical software IBM SPSS Statistics.\nThe course is intended for all those interested in medicine and health care who, within their profession, encounter statistical data analysis, want to understand the basic principles and become familiar with the most commonly used methods. They need to understand the results of statistical data processing, learn to read them, understand them and understand the basic concepts. They have research carried out by experts, they need to learn to formulate their requirements correctly and discuss the problem in an informed way.\n\nCOURSE PROGRAM\n- Introduction to health statistics, introduction to basic concepts\n- data matrices, types of variables\n- categorized data: frequency table, frequency charts (bar and pie charts)\n- numeric variables: quantiles, boxplot, mean, standard deviation, confidence intervals\n- second stage sorting\n- Principle of statistical hypothesis testing, test strength and sample size\n- T-tests, ANOVA\n- non-parametric tests\n- correlation analysis\n- linear regression",null,"nie","nie",1.9]
["AC215","ACREA CR","Analýza délky života","Praha, Česko",1,1,"2020-02-20","2020-02-20","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-delky-zivota/","The aim of the course is to acquaint the participants with basic methods of life expectancy analysis (tables of life expectancy, Kaplan - Meier models and Cox regression), which enable to answer the following questions:\nWhat is the course of “mortality” as a function of time?\nWhether and how different factors influence lifespan?\nVýuka klade důraz především na praktické aplikace úloh a na interpretaci výsledků.\nPROGRAM KURZU\n- základní pojmy a předpoklady analýzy délky života\n- funkce přežití, hazard\n- tabulky délky života\n- Kaplan – Meierovy modely\n- Coxova regrese\n- Coxova regrese s časově závislou kovariátou\n",null,"nie","nie",1.9]
["AC216","ACREA CR","Semestrální kurz: Statistická analýza dat v praxi","Praha, Česko",77,113,"2020-02-28","2020-06-19","1440 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/statisticka-analyza-dat-v-praxi/","Participants in this semester course will gain a comprehensive overview of the most commonly used methods of data analysis that can be applied regardless of statistical software. We will introduce you to the basics of analytical work and learn many useful ways and procedures for practice. All professionals who carry out statistical analyzes or teach these topics can participate.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\n\n\n\n\nÚčastníci tohoto semestrálního kurzu získají ucelený přehled o nejčastěji využívaných postupech analýzy dat, které je možné aplikovat bez ohledu na statistický software. Seznámíme vás se základy pro analytickou práci a osvojíte si mnoho užitečných způsobů a postupů pro praxi. Účastnit se mohou všichni odborní pracovníci, kteří realizují statistické analýzy nebo tato témata vyučují.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\n\n\n\n\n\n\nÚčastníci tohoto semestrálního kurzu získají ucelený přehled o nejčastěji využívaných postupech analýzy dat, které je možné aplikovat bez ohledu na statistický software. Seznámíme vás se základy pro analytickou práci a osvojíte si mnoho užitečných způsobů a postupů pro praxi. Účastnit se mohou všichni odborní pracovníci, kteří realizují statistické analýzy nebo tato témata vyučují.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\n","20% SLEVA PŘI PŘIHLÁŠENÍ DO 31.12.2019 - 31 920 Kč / 1 152 € + 21% DPH\n","nie","nie",1.9]
["AC221","ACREA CR","IRT modely - Teorie a aplikace","Praha, Česko",1,1,"2020-03-02","2020-03-02","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/irt-modely/","Learning outcomes of the course is to acquaint the participants with the basic theoretical background of IRT models, to show the advantages against the classical theory of testing and in the practical part to teach them to use the basic 1-, 2- and 3-parametric model, which means to apply the model, evaluate it including evaluation of individual items how to determine the level of knowledge or attitudes for an individual respondent and how to interpret it meaningfully. Attention will be paid to more complicated IRT models. An integral part of the course will be an example of linking IBM SPSS Statistics and R.",null,"nie","nie",1.9]
["AC225","ACREA CR","Plánovaní výzkumu: Reprezentativa","Praha, Česko",24,32,"2020-03-03","2020-04-03","430 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/planovani-vyzkumu-reprezentativita/","The course will provide students theoretically and practically with the basic phases of planning and implementation of sample surveys. Participants will learn to work with different types of selections and identify situations where it is appropriate to use these methods. They will learn how to ensure representativeness of selection. They will get acquainted with the principle and design of design and poststratification scales and they will learn to evaluate the research, obtain the necessary estimates and correctly express their accuracy based on the design of the selection. Participants will work with professional statistical software IBM SPSS Statistics.",null,"nie","nie",1.9,2.5,2,"Pokročilým","Na účely kurzu je potrebné ovládať štatistiku, je úzko zameraný. Praktická časť v SPSS ale väčšina princípov je aplikovateľná aj v iných SW. Účastníci ocenili aj jednoduchú interakciu s prednášajúcimi."]
["AC230","ACREA CR","Data mining - dolování znalostí z databází","Praha, Česko",3,3,"2020-03-09","2020-03-11","670 EUR",null,"https://kurzystatistiky.cz/kurzy/data-mining/data-mining-dolovani-znalosti-z-databazi/","The aim of the course is to introduce participants to the basic tasks and procedures of data mining and to teach them to design prediction procedures. Participants will learn about the partial procedures used in the individual phases of the project and will learn to combine these procedures into a meaningful solution. The course is designed in general and is not intended to teach specific software, but due to the complexity of algorithms, the course is taught with the help of IBM SPSS Modeler software (PS CLEMENTINE).\n\n\n\nCOURSE PROGRAM\n\n\n\ndata mining tasks and CRISP-DM methodology\nVisualization of data mining process\ndata audit and data preparation\nmodeling and evaluation of solutions\nprinciples of selected modeling methods\nputting the solution into practice\n",null,"nie","nie",1.9]
["AC229","ACREA CR","Základy statistiky pro analýzu dat","Praha, Česko",3,3,"2020-03-16","2020-03-18","480 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/","The aim of the course is to introduce the participants to the basics of statistical work and data analysis, to acquaint them with the concepts, methods and means for:\n• file description\n• comparing groups\n• association and correlation analysis.\nTopics are evenly distributed between analysis of numerical data and frequency (percent). Students will also learn how to work with professional statistical software IBM SPSS Statistics.",null,"nie","nie",1.9,2,1,"Začiatočníkom","Kurz bol vyvážený z hľadiska teórie a praxe , poskytol rozšírenie vedomostí aj mimo pracovnej náplne. Pedagógovia boli dobrí aj ako odborníci aj ako učitelia."]
["AC217","ACREA CR","Analýza a predikce časových řad","Praha, Česko",3,3,"2020-03-23","2020-03-25","540 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-a-predikce-casovych-rad/","Learning outcomes of the course unit The aim of the course is to acquaint participants with methods for processing time series and teach them to use these methods in practice. Basic approaches to time series and advanced methods (exponential equalization, ARIMA and ARIMA with explanatory variables) are taught. For each method the theoretical fundamentals are discussed, but at the same time there is a strong emphasis on its use in situations that the participant encounters in their practice.\n\n\n\nPROGRAM KURZU\n\n\n\nzákladní pojmy časových řad\nklouzavé průměry a sezónní dekompozice\nregresní analýza časových řad\nexponenciální vyrovnávání\nARIMA modely\naplikace odhadů – scénáře\nspektrální analýza\nsamostatný příklad\n",null,"nie","nie",1.9]
["AC223","ACREA CR","Korespondenční analýza","Praha, Česko",1,1,"2020-03-30","2020-03-30","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korespondencni-analyza/","The aim of the course is to provide the basics of one of the most widespread statistical methodologies for the analysis of multivariate categorized data.\n\n\n\nPROGRAM KURZU\n\n\n\nasociace v kontingenční tabulce: test chí-kvadrát, asociace v polích (znaménkové schéma)\nmotivační příklad, řádkové a sloupcové profily, jejich zobrazení\nkorespondenční analýza dvourozměrné kontingenční tabulky\nzákladní výstup -  korespondenční mapa kategorií\nvícerozměrný problém: soustava tabulek četností\nkvantifikace kategorií, případů a skupin\n",null,"nie","nie",1.9,1.5,2,"Začiatočníkom","Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."]
["AC218","ACREA CR","Analýza rozptylu - přístupy k odhalování příčin a vlivů","Praha, Česko",2,2,"2020-03-31","2020-04-01","430 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/","The courset intoduces participants to the basic principles of method Analysis of variance (analysis of variance, ANOVA). The course is focused mainly on the analysis of variance of single and double classification, testing of more detailed hypotheses on the averages in groups using contrasts and post hoc tests and on the analysis of covariance.",null,"nie","nie",1.9]
["AC231","ACREA CR","Text mining","Praha, Česko",1,1,"2020-04-15","2020-04-15","245 EUR",null,"https://kurzystatistiky.cz/kurzy/data-mining/text-mining/","The textmining course will acquaint participants with the methods of extracting key features from the text and their use in predictive modeling. We will use methods of natural language statistical processing (NLP) to extract properties from text. These allow you to detect concepts and hidden topics that can be expressed in many ways due to the variability and rich vocabulary of natural languages. The course will deal with symptom extraction at various levels: from letter groups called n-grams to terms to complex semantic topics and their properties. An example of extracting complex patterns from a text may be sentiment analysis, recognizing the positive and negative attitudes of the author. Methods of statistical processing of natural languages ​​must necessarily be supported by many linguistic resources in the format of dictionaries and rules. Participants will also learn about this language support in order to be able to appropriately select and possibly modify linguistic resources for a specific task.\n\n\n\nCOURSE PROGRAM\n\n\n\n\ntext mining tasks\n\n\nstructured representation of text documents\n\n\nobtaining and indexing a text collection\n\n\ntext processing procedures and their sorting\n\n\nextraction of concepts, their properties and complex patterns\n\n\nreduction of dimensionality of extracted attributes\n\n\ncontent analysis\n\n\nclassification and grouping of documents\n\n\nsearch in collection\n\n\ndatamining tasks with text data support\n\n\nmanagement and modification of linguistic resources",null,"nie","nie",1.9]
["AC222","ACREA CR","Korelační analýza","Praha, Česko",1,1,"2020-04-27","2020-04-27","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","The aim of this course is to acquaint students with correlation measures for numerical data and their application in various practical situations. Topic  is illustrated and practiced on real data from analytical practice. Students will acquire sufficient knowledge for independent correct use of correlations in their own analyzes.",null,"nie","nie",1.9,1.5,2,"Začiatočníkom","Kurz je určený pre začiatočníkov v SPSS, tempo je primerané, je možné stiahnuť si súbory. Kurz ponúkol dosť priestoru na praktický tréning získaných vedomostí, ktoré analytici ďalej využívajú v zamestnaní."]
["AC226","ACREA CR","Regresní analýza I","Praha, Česko",1,1,"2020-04-28","2020-04-28","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","This course includes models of one-dimensional and multi-dimensional linear regression analysis for numeric variables. Emphasis is on the importance and construction of the basic model, tests of hypotheses on its parameters and on the selection of suitable predictors using automatic procedures. Course also includes:\n-\ta simple equation model with one independent variable\n-\tpoint two-dimensional graph; correlation and linear regression equation (line)\n-\tproperties of simple linear regression, principle of least squares method\n-\thypothesis tests and straight line parameter estimation, determination coefficient\n-\tresidues and simple residual analysis\n-\tmodels of nonlinear relations - curves convertible to linearity\n-\texplanation and prediction by regression equation\n-\tmultiple linear regression model - extension to multiple independent variables\n-\tthe meaning of the equation results and parameters\n-\ttesting parameters and testing the significance of the relationship\n-\tsequential procedures for determining predictors\n\n","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + 21% DPH za 3 kurzy\n","nie","nie",1.9,2,2,"Pokročilým","Pre absolvovanie kurzu je nutná znalosť korelačnej analýzy príp. absolvovanie kurzu Korelační analýza. Kurz splnil očakávania a rozšíril znalosti aj mimo pracovej náplne hodnotiteľov. "]
["AC227","ACREA CR","Regresní analýza II","Praha, Česko",1,1,"2020-04-29","2020-04-29","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","This course deals with verification of correctness and suitability of linear regression model. It extends the model possibilities for refining the description of relationships and offers a diagnostic-predictive apparatus. It deals with categorized predictors and analysis of their influence on dependent variable, nonlinear and interaction members in the equation. Methods of model evaluation by means of residues and characteristics of influence of individual observations. Predictive role of regression equations and valuation of their prediction force so that the resulting equations correspond to the data reality.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + 21% DPH za 3 kurzy\n","nie","nie",1.9,2,2,"Pokročilým","Kurz by si zaslúžil väčší časový prídel. Pre využitie kurzu je ideálne, ak zamestnanec pracuje pravidelne s SPSS a so štatistickými modelmi."]
["AC219","ACREA CR","Faktorová analýza","Praha, Česko",1,1,"2020-05-12","2020-05-12","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/faktorova-analyza/","Learning outcomes of the course unit The aim of the course is to acquaint participants with the practical use of methods of factor analysis. Emphasis is placed on understanding and interpretation of results. Mathematical aspects of the model and algorithms are not included in the course unless it is necessary to practice the method.\n\n\n\nCOURSE PROGRAM\n\n\n\norigin of factor analysis as a psychometric model (historical notes)\nexplanation of variability and correlation structure of measured variables using system internal factors\nidentification of correlation dimensions and correlation clusters, data correlation\nlatent and manifest variables, indication of latent properties\nFA equation: known and unknown variables and parameters in the FA model\nmeasurement of latent variable values\nexistence and (in) uniqueness of the solution\nmain solution extraction - main component method (and other methods)\nmeaning of estimated parameters and interpretation of factors\nrotation of factors - selection of interpretable solution (simple structure)\nestimation of unknown factor values ​​for each unit\nuse of factors in further data analysis","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 8 960 Kč / 320 € + 21% DPH za 2 kurzy","nie","nie",1.9]
["AC228","ACREA CR","Seskupovací (klastrová) analýza","Praha, Česko",1,1,"2020-05-13","2020-05-13","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/seskupovaci-analyza/","Cílem kurzu je seznámit posluchače s principy základních seskupovacích metod (hierarchické seskupování, K means a dvoustupňové seskupování) a ukázat možnosti jejich využití. Důraz je kladen na praktické aplikace metod, na porozumění a interpretaci výsledků a výběr vhodné metody pro daný problém. Matematické aspekty modelu a algoritmů jsou zahrnuty pouze pro vysvětlení významu a principů seskupování.\n\n\n\nPROGRAM KURZU\n\n\n\npodobnost/vzdálenost datových profilů\nrůzné typy měr vzdálenosti resp. podobnosti dat\nstandardizovaná a nestandardizovaná data, význam standardizace při aplikaci měr\nvytváření homogenních skupin pomocí vzdáleností\nhierarchické seskupování: princip, kritéria tvorby skupin, vyhodnocování\nmetoda K-means\ndvoustupňové seskupování\nvolba počtu skupin\nvyužití pro další analýzu\n","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 8 960 Kč / 320 € + 21% DPH za 2 kurzy\n","nie","nie",1.9,1,2,"Pokročilým","Teoretické vedomosti boli vhodne vyvážené praktickými cvičeniami. Príklady sa zameriavali na komerčnú prax - telefónne spoločnosti, poisťovne, životnú úroveň, atď. využívaný bol SW IBM, čo účastníci považovali za nevýhodu kurzu (nepoužívajú ho na pracovisku)."]
["AC224","ACREA CR","Mnohorozměrné škálování","Praha, Česko",1,1,"2020-06-01","2020-06-01","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/mnohorozmerne-skalovani/","The aim is to acquaint students with a very popular graphical method of describing relationships and its application in various practical situations. Students will acquire sufficient knowledge for independent use of the method in their own analyzes.\n\n\n\nCOURSE PROGRAM\n\n\n\nobjects and their multivariate characteristics\nprofiles and their comparison - profile graphs, profile relationships\nproximity notion: measures of similarity; distance / metric\ntwo-dimensional and three-dimensional profile display - relational map\napproximation of multidimensional profiles with two (three) dimensional image\ngraphical outputs and typology\nassociation of variables - proximity in space of properties\ngraph of relationships between variables\nnon-parametric (non-metric) factor analysis\n\n\n\nPROGRAM KURZU\n\n\n\nobjekty a jejich mnohorozměrná charakteristika\nprofily a jejich komparace – profilové grafy, vztahy profilů\npojem proximity: míry ne/podobnosti; vzdálenost/metrika\nzobrazení dvojrozměrného a trojrozměrného profilu – relační mapa\naproximace vícerozměrných profilů dvoj(troj)rozměrným obrázkem\ngrafické výstupy a typologie\nasociace proměnných – blízkost v prostoru vlastností\ngraf vztahů mezi proměnnými\nneparametrická (nemetrická) faktorová analýza\n",null,"nie","nie",1.9]
["CE167","Center of Excellence in Finance","Implementing Financial Management and Control","Ľubľana, Slovinsko",3,3,"2020-06-16","2020-06-18","0 EUR",null,"https://www.cef-see.org/20-aud5","The workshop will address the requirements for the establishment and development of a sound and efficient system of financial management and control (FMC) in public sector entities. Apart from outlining the benefits of FMC, it will address the challenges pertaining to building modern internal control systems in the public sector and coordinating the activities related to financial management and control. In this respect, the workshop will explore and distinguish the levels and respective roles and responsibilities in the harmonization of public internal control between ministries of finance and line ministries.",null,"nie","nie"]
["SM002","University of Southampton","QGIS: Advanced","Southampton, Veľká Británia",2,2,"2020-06-16","2020-06-17","425 GBP + VAT (490 EUR + VAT)",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_AdvQGIS.pdf","This course builds on the delegates existing knowledge of QGIS. It comprises a series of presentations and computer practical sessions using free open source GIS software. ",null,"nie","nie","","","",""]
["OU006","University of Oxford","Macroeconomics: An Introduction (Online)","Online",53,73,"2020-06-17","2020-08-28","300 GBP",null,"https://www.conted.ox.ac.uk/courses/macroeconomics-an-introduction-online?code=O20P411SOV","This course provides a detailed introduction to, and encompasses the fundamentals of macroeconomics. On completion of the course you will have the ability to critically assess real-world macroeconomic developments at first-year undergraduate level. his short course aims to provide students with an understanding of conventional macroeconomic thinking so that they can understand the essential principles of how the macroeconomy of nation states functions in a globalised world. Once students have completed this course they will be better placed to understand the causes of inflation and unemployment and the relevance of government monetary and fiscal policy in dealing with such economic problems. Therefore, students will be able to use the knowledge gained to understand everyday macroeconomic events. ","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["CM005","Cemmap","Partial identification in practice","Londýn, Veľká Británia",2,2,"2020-06-22","2020-06-23","440 GBP",null,"https://www.cemmap.ac.uk/event/id/1713","Partial identification allows applied researchers to learn about parameters of interest without requiring them to make assumptions that guarantee point identification. This course offers applied researchers an introduction to partial identification and its use in empirical work in economics. Techniques for performing estimation and inference will be demonstrated along the way, using a combination of STATA and MATLAB routines. At the end of the course participants should expect to have an understanding of how partially identifying models been employed successfully in applications, what features of these applications have contributed to their success, and what tools are currently available for their use in further applications.",null,"nie"]
["CE168","Center of Excellence in Finance","Estimating the Tax Gap","Ľubľana, Slovinsko",3,3,"2020-06-22","2020-06-24","0 EUR",null,"https://www.cef-see.org/20-tpa5","Participants will be given guidance on how to prepare the necessary inputs into the IMF FAD’s Revenue Administration VAT Gap Analysis Program (RA-GAP). The workshop will focus on how to properly capture the three main inputs into the model: the VAT policy structure, actual VAT revenue data, and national accounts statistical data pertaining to the VAT base. This learning event will mostly consist of hands-on sessions, where participants will be required to prepare data from their countries for entry into the model. A general overview of how to approach gap estimation for other tax types will also be given. All participants will be required to have successfully completed the IMF’s online course on the RA-GAP VAT Gap Estimation Model.",null,"nie","nie"]
["AE002","AdeptEvents","Data Warehousing & Business Intelligence Summit","Utrecht, Holandsko",2,2,"2020-03-25","2020-03-26","1340 EUR",null,"https://www.dwbisummit.com/?lang=en","This conference offers practical guidelines and do’s and don’ts to help you with these current and impending issues. You will meet well-known speakers and thought leaders from the Netherlands and abroad, including including Wayne Eckerson, Keith McCormick, Dave Wells, Nigel Turner, Egge van der Poel, professor Peter Boncz, Piethein Strengholt, Tim Schulteis, Jeroen Vermunt, Antoine Stelma and Rick van der Lans. This first-class line-up of speakers are ready to share their knowledge and experience with you.\n\nSome topics that will be discussed these days:\n- Concrete approach to cloud data warehousing\n- Successful implementation of self-service analytics and BI\n- DataOps: best practices, trends, tips and techniques\n- Setting up a data integration architecture for the digital future\n- The importance of data preparation with Machine Learning\n- Ten guidelines for modern data architectures\n- Establishing successful data governance processes\n- Experiences with a data lake and an analytics lab\n- Combining Datavault, Ensemble and data virtualisation.\n","The Early Bird rate of € 1.139,00 expires  after 31 December 2019","nie","nie",1.07]
["AE001","AdeptEvents","Putting MachineLlearning to Work","Utrecht, Holandsko",2,2,"2020-03-30","2020-03-31","1450 EUR",null,"https://adeptevents.nl/event/machine-learning-workshop?lang=en","Translating Organizational Challenges into Supervised & Unsupervised Learning Solutions - This course will demonstrate a variety of examples starting with the exploration and interpretation of candidate models and their applications. Options for acting on results will be explored. You will also observe how a mixture of models including business rules, supervised models, and unsupervised models are used together in real world situations for various problems like insurance and fraud detection.\n","The Early Bird rate of € 1.305,00 expires after 29 February 2020.","nie","nie",1.07]
["AE005","AdeptEvents","Designing, operating and managing an enterprise data lake","Utrecht, Holandsko",2,2,"2020-04-21","2020-04-22","1450 EUR + 21% Dutch VAT",null,"https://adeptevents.nl/event/data-lake-and-data-refinery?lang=en","This 2-day seminar looks at the challenges faced by companies trying to deal with an exploding number of data sources, collecting data in multiple data stores (cloud and on-premises), multiple analytical systems and at the requirements to be able to define, govern, manage and share trusted high quality information in a distributed and hybrid computing environment.  It also explores a new approach of how IT data architects, business users and IT developers can collaborate together in building and managing a logical data lake to get control of your data. This includes data ingestion, automated data discovery, data profiling and tagging and publishing data in an information catalog. It also involves refining raw data to produce enterprise data services that can be published in a catalog available for consumption across your company.  We also introduce multiple data lake configurations including a centralised data lake and a ‘logical’ distributed data lake as well as execution of jobs and governance across multiple data stores. It emphasises the need for a common collaborative process and common approach to governing and managing data of all types.","The Early Bird rate of € 1.305,00 expires (*) after 22 March 2020. Register now and receive discount!","nie","nie",1.07]
["AE004","AdeptEvents","Agile Data Warehause Design & Dimensional Modeling","Utrecht, Holandsko",3,3,"2020-05-13","2020-05-15","1990 EUR",null,"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en","Agile Data Warehouse Design covers step-by-step techniques for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders.","The Early Bird rate of € 1.791,00 expires (*) after 13 April 2020. Register now and receive discount! ","nie","nie",1.07]
["AE003","AdeptEvents","Working with Bussiness Processes","Utrecht, Holandsko",2,2,"2020-06-11","2020-06-12","1450 EUR",null,"https://adeptevents.nl/event/working-with-business-processes?lang=en","Proces Change in Agile Timeframes. - Participants will first learn exactly what a “business process” is, the key factors to consider when dealing with them, and the most common pitfalls and how to avoid them. On this foundation, the course moves on to specifying the scope and goals of a business process, modelling the current workflow, assessing it, and applying three critical process redesign techniques.\nCourse Topics:\n\n• Thinking in process terms – concepts, terminology, principles, and techniques\n• A three-phase approach to completing a process-oriented project\n• Framing the process – discovering a business process, and clarifying its purpose and scope\n• Initial assessment of the “as-is” process and goal-setting for the “to-be” process\n• Modelling process workflow – practical tips and techniques for using swimlane diagrams\n• Controlling detail – three levels of workflow model\n• When to stop modelling\n• Applying workflow modelling to the as-is process – facilitating a workflow session\n• Final assessment of the as-is process – a framework for assessment, relation to redesign\n• Characterising the to-be process – generating creative improvements and assessing them\n• Wrap-up – summary, tips, and resources\n","The Early Bird rate of € 1.305,00 expires  after 12 May 2020","nie","nie",1.07,1,3,"Začiatočníkom","Nedostatkom kurzu bol nedostatočný priestor na tréning teoretických znalostí v praxi. Pedagógovia boli odborníci."]
["PA251","Paris School of Economics","MACROECONOMICS - Understanding macroeconomic fluctuations","Paríž, Francúzsko",5,5,"2020-06-22","2020-06-26","2000 EUR","2020-03-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/macroeconomics/","The aim of the programme is to provide the essential tool box of macroeconomics. Emphasis is put on introducing tools and developing deep understanding. All courses review core, standard models that are useful for understanding crises and recessions, and the role of policy therein. We then introduce recent research at the frontier.Professionals can get an edge by keeping in touch with research. This involves not only awareness of recent developments, but also being able to critically evaluate this research, whose findings are all too often highlighted in a positive light in popular media, despite methodological shortcomings. Participants in the macro sequence will be exposed to the architecture of modern research and will be able to analyze modelling assumptions and discuss their relevance. This is a critical skill for any decision maker who wants to make the best out of modern research.","A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu","nie","nie",1]
["PA252","Paris School of Economics","MICROECONOMETRICS AND POLICY EVALUATION - Modern Estimation Methods and Machine Learning","Paríž, Francúzsko",5,5,"2020-06-22","2020-06-26","2000 EUR","2020-03-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/microeconometrics/","The Microeconometrics and Policy Evaluation programme presents recent developments in the microeconomic analysis of impact evaluation. Providing a credible estimation of a causal effect has become a standard in economic analysis, both in research papers and policy reports. But it is also equally important to integrate the estimated effects into economic models, in order to improve the design of policies. The program therefore proposes a comprehensive approach of policy analysis. Students will also attend practical econometrics classes in Stata, according to their level of proficiency (beginners versus intermediate).","A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu","nie","nie",1]
["BE003","Bank of England ","Income Distribution, Wealth Distribution and Central Bank Policies","Londýn, Veľká Británia",1,1,"2020-02-28","2020-02-28","0 EUR",null,"https://www.bankofengland.co.uk/-/media/boe/files/events/2020/february/income-distribution-wealth-distribution-and-central-bank-policies-programme.pdf?la=en&hash=24F21002A9A3D033465B05866B008148CC83521C","The Bank of England and the Department of Economics at the LSE are organizing a conference bringing together researchers studying the two-way relationship between central bank policies and heterogeneity in agents’ incomes and wealth. ",null,"nie","nie"]
["BE002","Bank of England ","International Capital Flows and Financial Policies","Paríž, Francúzsko",1,1,"2020-04-22","2020-04-22","0 EUR","2020-02-01","https://www.bankofengland.co.uk/-/media/boe/files/events/2020/april/call-for-papers-workshop-22-april-2020.pdf?la=en&hash=B4D44AED32EA7356CDF92F7BF28897E932A34777","The Bank of England, the Banque de France, the IMF and the OECD are pleased to announce a\ncall for papers for their first annual workshop on International Capital Flows and Financial\nPolicies. The general objective of the workshop is to deepen the understanding of the benefits\nand risks of global capital flows and advance the debate on the appropriate financial policy\ntoolkit, including through discussion of the effectiveness and externalities of various policies. It\naims to enhance the dialogue between the research and the policy community on these questions.",null,"nie","nie"]
["BA142","Barcelona Graduate School of Economics","Data Analysis and Machine Learning with Python","Barcelona, Španielsko",1,2,"2020-01-10","2020-01-11","1750 EUR","2020-01-02","https://www.barcelonagse.eu/study/professional-courses/data-science-winter-school?utm_source=INOMICS&utm_medium=announcement&utm_campaign=DSWinter20&utm_content=SaveTheDate&utm_term=July","Participants will get a quick, condensed and hands-on introduction to programming and data analysis with Python, fundamental methods in modern Statistics and Machine Learning and the tools in Python for implementing them.","The course is evaluated by a 1-hour test that is carried out at the end of the course. Reduced Fees are available for Students, and Early Bird Discount is offered for confirmations by December 11, 2019","nie","áno",1.99,"","","",""]
["BA201","Barcelona Graduate School of Economics","Get up and running with Python for Machine Learning in two days","Barcelona, Španielsko",1,2,"2020-01-10","2020-01-11","1750 EUR",null,"https://www.barcelonagse.eu/study/professional-courses/data-science-winter-school","This is an intensive 12-hour course that takes place in four 3-hour sessions at the Barcelona GSE's Ciutadella Campus.\nParticipants will get a quick, condensed and hands-on introduction to programming and data analysis with Python, fundamental methods in modern Statistics and Machine Learning and the tools in Python for implementing them.\nThe approach is hands-on using Jupyter notebooks. All material is motivated by specific information retrieval and data analysis questions, and each thematic unit concludes with a small project. \nThe course is evaluated by a 1-hour test that will be carried out at the end of the course.\n","Early-bird Registration and Payment (until 11 Dec 2019) 1400 €","nie","nie",1.99]
["BA202","Barcelona Graduate School of Economics","Empirical measurements of market power and competition","Barcelona, Španielsko",3,3,"2020-05-13","2020-05-15","3000 EUR",null,"https://www.barcelonagse.eu/study/professional-courses/quantitative-competition-analysis","A team of leading academics and practitioners will walk you through the latest methods for analyzing competition cases.\nThe Barcelona GSE Intensive Course on Quantitative Methods for Competition Analysis provides participants (economists, lawyers and practitioners working for firms or in agencies) with a thorough understanding of recent empirical methods to measure market power and competition, with applications to market definition, merger analysis and damages from anticompetitive conduct.\nThe program’s faculty includes some of the leading academic economists in the area of industrial organization and competition policy, and practitioners with extensive experience on quantitative methods in competition cases.\nKey benefits\n◾Review established and recent quantitative methods for competition analysis, with a proper balance between techniques and interpretation also accessible to non-economists.\n◾Learn about the practical considerations to apply techniques, based on the lessons from various recent cases where quantitative techniques have been applied.\n◾Learn to interpret and critically evaluate the empirical results from different approaches.\n◾Develop a good common sense of the advantages and disadvantages of different approaches, and the circumstances under which they are (not) suitable.\n◾Acquire a thorough understanding of the data requirements for applying various techniques.\n◾Three practice sessions illustrate how to implement the econometric techniques with standard software (Stata), covering demand estimation, merger simulation and treatment effects.\n","Early-bird Registration and Payment  (until 14 April 2020) 2400€","nie","nie",1.99]
["CL005","University College London (UCL)","ANOVA: General Linear Models (GLMs) with SPSS","Londýn, Veľká Británia",1,1,"2020-06-22","2020-06-22","200 GBP (230 EUR)",null,"https://www.ucl.ac.uk/short-courses/search-courses/anova-general-linear-models-glms-spss","This one-day course on analysis of variance (ANOVA) takes a hands-on approach to learning. ANOVA is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity and control for other numeric variables.\n\nYou'll be introduced to the underlying principles of ANOVA and the extensions and applications of this type of statistical analysis are discussed.\n\nThe structure, application and interpretation of the following models will be covered:\n\none-way ANOVA\nfactorial ANOVA\nunivariate ANOVA\nmultivariate ANOVA\nrepeated measures ANOVA\n\nYou'll learn how to choose, run, interpret and report a variety of ANOVA models available in SPSS within the general linear model (GLM) function.\n\nSPSS software will be used for demonstration and practice throughout.","Prices include printed course materials, refreshments (and lunch for non-ICH  participants).","nie","nie"]
["CL023","University College London (UCL)","ANOVA: General Linear Models (GLMs) with SPSS","Online",1,1,"2020-06-22","2020-06-22","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/anova-general-linear-models-glms-spss","ANOVA is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity and control for other numeric variables.\n\nYou'll be introduced to the underlying principles of ANOVA and the extensions and applications of this type of statistical analysis are discussed.\n\nThe structure, application and interpretation of the following models will be covered:\n\none-way ANOVA\nfactorial ANOVA\nunivariate ANOVA\nmultivariate ANOVA\nrepeated measures ANOVA\nThe conceptual basis of this course is applicable to other statistical packages, but practical elements of the course are conducted using SPSS. Example datasets are provided for you to perform analyses on.",null,null,"nie"]
["OU013","University of Oxford","Introducing Mapping, Spatial Data and GIS (Online)","Online",54,75,"2020-06-22","2020-09-04","300 GBP",null,"https://www.conted.ox.ac.uk/courses/introducing-mapping-spatial-data-and-gis-online?code=O20P349BIV","1. What are spatial data and Geographic Information Systems?\nExplore how maps and spatial analysis pervade our world, and consider the use of maps in the media. Install the GIS software and take your first steps in displaying spatial data.\n\n2. Who uses spatial data, maps and GIS, and what for?\nConsider how GIS is used in different industries and leisure activities. Encounter the power and versatility of maps and GIS to illustrate patterns, exploring osprey migration routes in a wildlife case study.\n\n3. Understanding spatial reference systems\nLearn how to refer to the spatial location of objects on the earth’s surface, and understand how this translates to locations on a flat map. View and overlay data from a range of spatial reference systems, based on an archaeological case study of Stonehenge artefacts.\n\n4. Representing spatial features\nGrasp the difference between discrete spatial objects and continuous surfaces, and learn the characteristics of the two primary data formats (vector and raster) which represent them. Practice working with both data types in a resource management case study on an English farm.\n\n5. Interpreting maps\nInterpret the symbols, contours and scale on a topographic map, and learn how to navigate using a compass. Plan travel routes and camping locations for a wilderness hike through Monongahela National Forest, USA, as part of a leisure case study.\n\n6. Working with raster layers\nExperience the power of remotely sensed imagery to visualize environmental patterns. Manipulate raster layers in a disaster relief case study, to assess the extent of catastrophic flooding in Pakistan.\n\n7. Working with vector layers\nGenerate and edit your own vector data by hand-digitizing, and add non-geographic information to your new layers. Extend the Pakistan disaster relief case study by calculating the area affected by flooding.\n\n8. Introduction to symbology and cartography\nExplore the art of cartography, and discuss how to communicate your message to a specific audience. Change the way map features are displayed to identify spatial patterns in health risks in Togo, an international development case study.\n\n9. Making maps\nLearn how the key elements of a map (scale bar, legend, graticule) allow viewers to interpret your map and understand your message. Apply cartographic principles in a tourism case study to create and export your own map of tourist attractions in Melbourne, Australia.\n\n10. Introduction to spatial analysis\nDiscover how the utility of GIS extends far beyond map-making. Explore concepts in spatial analysis that will allow you to create new data, identify patterns, and support future decision-making. Propose the location of a new recycling facility in an urban planning case study.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["CU012","Cranfield University","Sustainable Development in Defence Acquisition","Shrivenham, Veľká Británia",2,2,"2020-06-23","2020-06-24","700 GBP    (612 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/sustainable-development-in-defence-acquisition","Sustainable Development in Defence Acquisition is a two-day introduction to sustainable development, and the MOD’s approach to integrating sustainable development in acquisition. The course covers a brief history of sustainable development, case studies of good sustainable practice, and practical tools to aid implementation of sustainable procurement and sustainable business within the MOD.  The course aims to assist delegates with the MOD’s commitment to deliver Sustainable Development within Defence  Acquisition.By the end of the package/course delegates will be able to: Demonstrate the key challenges of Sustainable Development in defence. Identify discipline boundaries to pursue Sustainable Development.Be aware of the potential strategies to maximise benefits and  minimise or mitigate potential adverse impacts of defence activities. Identify potential challenges, risks and impacts.",null,"nie","nie"]
["MA239","Massachusetts Institute of Technology (MIT)","Cloud & DevOps: Continuous Transformation","Online",41,57,"2020-06-23","2020-08-18","2450 USD",null,"https://professional.mit.edu/course-catalog/cloud-devops-continuous-transformation-english","Cloud Computing represents a paradigm shift in the 21st century, opening the door to increasingly advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Machine Learning. Companies have become ever more dependent on large flows of information, and the demand for security and speed is rising exponentially. When the infrastructure that supports technology undergoes a fundamental structural change, the future of your business or project depends on understanding this revolution in order to make strategic decisions.\n\nMIT Professional Education is proud to announce this new, practical program that will explain the vast technological transformation that has occurred in recent years. Content and activities are designed to allow participants to become part of this transformation through technologies such as DevOps and Cloud Computing.\n\nWith real-life cases and examples, you will learn about the growing impact that the boom of these technologies has had on the various economic sectors and on the way we do business.\n\nThis online program provides not only a first-class professional certification from one of the most highly respected technological institutions in the world, but also the chance to dive deeper into the promising new possibilities that Cloud Computing offers for your business."]
["CL024","University College London (UCL)","R: an Introduction (Evening Course)","Online",2,2,"2020-06-24","2020-06-25","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/r-introduction-evening-course","The topics covered using R will include the following:\n\nIntroduction to the R platform and interface\nIntroduction to basic scripting commands\nInput of data sets\nSummary measures\nGraphical displays\nStatistical tests (t-tests)\nAdd-ons and packages in R\nHelp in R\nYou'll be expected to have a basic understanding of common statistical tests and concepts as these won't be taught during this workshop.",null,null,"nie"]
["OU008","University of Oxford","Public Policy Economics (Online)","Online",52,73,"2020-06-24","2020-09-04","300 GBP",null,"https://www.conted.ox.ac.uk/courses/public-policy-economics-online?code=O20P477SOV","This course covers some of the most important questions about the aims and tools of economic policy, ranging from competition policy and regulation to industrial policy, from public spending choices to incorporating behavioural psychology 'nudges' in policy decisions. It covers the role of the state versus the market, and the government's responsibility for sustainability. It will equip students to evaluate the economic arguments made about public policy choices.\nExplore the rationale for public policy interventions in the economy.\nProvide an overview of a wide range of areas of applied microeconomics used in public policy, including relevant historical and international experience.\nDiscuss the role of economics in the political process; (iv) provide an introduction to the evaluation of economic policies. It will have some interdisciplinary elements, in touching on political economy and behavioural economics.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["PT013","PTV Group","Public Transport Line Performance and Cost Calculation ","Karlsruhe, Nemecko",2,2,"2020-06-25","2020-06-26","963,90 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0104/","An essential step in evaluating existing or newly planned transport services is the determination of costs and revenues, for example, in the form of the line costing and revenue calculation.On the first day of this two-day course, you will learn how to determine various types of costs on the basis of a network and timetable modeled in PTV Visum.  An important role is played here by the line blocking procedures, in other words, estimating the number of required vehicles.On the second day, you will l","Cena v režime Early bird. ","nie","nie"]
["CL025","University College London (UCL)","R: Further Topics","Online",1,1,"2020-06-26","2020-06-26","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/r-further-topics","This course will cover the following topics:\n\nAn introduction to the Rstudio software\nOrganising and merging multiple datasets\nConditional (TRUE of FALSE) statements\nConditional commands (if, if else, etc.)\nLoops\nCreating your own function\nAn introduction to ggplot2 (as time allows)",null,null,"nie"]
["BA206","Barcelona Graduate School of Economics","Computing for Data Science (Data Science Summer School)","Barcelona, Španielsko",0,1,"2020-06-28","2020-06-28","800 EUR",null,"https://www.barcelonagse.eu/study/summer-school/data-science","This is an intensive, hands-on, 1-day course that will provide participants with the computing skills necessary for information retrieval, data management, data analysis and Machine Learning. It is an 8-hour course, with a number of little projects that take place during the course, that evolves around the following sub-themes:\n\nProgramming with Python\nKeywords: data types, functions, iterates, objects, classes\nData analysis with Python\nKeywords: pandas, database management, groupby, merge\nScraping data\nKeywords: scraping, API's, cloud storage",null,"nie","nie",1.99]
["SI005","SIdE (Società Italiana di Econometria) ","Networks Econometrics","Benátky, Taliansko",5,6,"2020-06-28","2020-07-03","2 300 EUR","2020-04-18","https://www.side-iea.it/events/courses/networks-econometrics-2020","The aim of the course is to provide the fundamentals of the econometrics network with particular reference to the Network mapping and visualisation, the Network Extraction Methods,  Multi-layer Network Models and their applications to finance. The tutorials will develop applications to stocks, interest rates and commodities markets and to contagion analysis. Modelling of financial and commercial trade networks will be considered as well.","V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€.","áno","nie"]
["BA203","Barcelona Graduate School of Economics","Numerical Methods for Fiscal and Monetary Policy Analysis (CREI Macroeconomics Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","1150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics","this course will cover state-of-the-art techniques to solve and simulate modern macroeconomic models, with specific applications to models used for fiscal and monetary policy analysis.",null,"nie","nie",1.99]
["BA204","Barcelona Graduate School of Economics","Spatial Equilibrium and the Economics of Cities (CREI Macroeconomics Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","1150 EUR",null,"https://www.barcelonagse.eu/study/summer-school/crei-macroeconomics","Spatial equilibrium in a city: transportation, residential location and the monocentric city model;\nSpatial equilibrium in a system of cities: hedonics and the measurement of amenities and productivity;\nAgglomeration economies: pooling, matching and knowledge spillovers;\nCities and public policy: local public goods and sorting, place-based policies;",null,"nie","nie",1.99]
["BA207","Barcelona Graduate School of Economics","Foundations of Data Science (Data Science Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","2400 EUR",null,"https://www.barcelonagse.eu/study/summer-school/data-science","This is an intensive 20-hour course based on a hands-on approach using Jupyter notebooks, all material is motivated by specific information retrieval and data analysis questions and each thematic unit concludes with a small project. ","Prerequisites: Computing for DS (or proven record in the CV that candidate has these skills)","nie","nie",1.99]
["BA209","Barcelona Graduate School of Economics","Bayesian Methods for DSGE Models (Macroeconometrics Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","1275 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The objective of the course is to teach student how to use state of the art Bayesian methods to estimate and analyze modern macroeconomic models. The course will cover the most popular methods to construct posterior estimates of structural model parameters and probability intervals for arbitrary model outputs (such as impulse response functions and variance decompositions). Special attention will be given to recent advances in empirically analyzing the role of news, noise and imperfect information in business cycle models. The course aim to give students a good understanding of both advantages and limitations of the current generation of DSGE models.",null,"nie","nie",1.99]
["BA210","Barcelona Graduate School of Economics","Time Series Methods for Macroeconomic Analysis (Macroeconometrics Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","1275 EUR",null,"https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular we will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. We also present several extension like Smooth transition VARs, Threshold VAR, Time-Varying Coefficients VAR and FAVARs. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students.",null,"nie","nie",1.99]
["BA213","Barcelona Graduate School of Economics","Panel Data Linear Analysis (Microeconometrics Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","1275 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course considers methodological and substantive issues concerning the analysis of panel data. It starts by reviewing basic panel data models emphasizing the benefits and limitations of panel data over time series or cross-section data. Basic estimation and testing methods for random and fixed effects models are reviewed and illustrated using empirical applications using Stata and EViews. Next, problems of endogeneity in panel models are studied and panel instrumental variable estimation methods as well as Hausman type tests are reviewed and applied using an empirical application. The course also covers an introduction to dynamic panel data models. Finally, for large macro panels with a large number of countries observed over a long time series, we study issues of non-stationarity.",null,"nie","nie",1.99]
["BA214","Barcelona Graduate School of Economics","Econometrics of Cross-section Data with Applications (Microeconometrics Summer School)","Barcelona, Španielsko",5,5,"2020-06-29","2020-07-03","1275 EUR",null,"https://www.barcelonagse.eu/study/summer-school/microeconometrics","In this course we deal with estimation of these models, paying special attention to the interpretation of the estimates and the limitations of the different models in the literature. The course is organized in three blocks: the first one (two sessions) devoted to discrete choice models, including count data models ; the second one (two sessions) to limited-dependent variable models, including sample selection issues typical when dealing with cross-section data: and the third one (one session) devoted to models in which the dependent variable is the length of a spell in a particular status (e.g. unemployment) and we are interested in estimating how the duration in a particular status affects the probability of leaving that status.",null,"nie","nie",1.99]
["CM001","Cemmap","Policy evaluation methods","Londýn, Veľká Británia",4,4,"2020-01-14","2020-01-17","770 GBP ",null,"https://www.cemmap.ac.uk/event/id/1709","This course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic ‘treatment’ – from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of smoking on own and children's health.\n\nAfter highlighting the ‘evaluation problem’ and the challenges it poses to the analyst, we focus on the main empirical methods to solve it. Specifically, in this 3 and a half-day course we cover:\n\nRandomised social experiments\nNaive non-experimental estimator\nNatural experiments or instrumental variables\nRegression Discontinuity Design\nRegression analysis\nMatching methods\nBefore-after\nDifference-in-differences\nSynthetic control methods",null,"nie"]
["CM002","Cemmap","Reproducible Econometrics Using R","Londýn, Veľká Británia",2,2,"2020-04-29","2020-04-30","200 GBP",null,"https://www.cemmap.ac.uk/event/id/1768",null,null,"nie"]
["CM003","Cemmap","Panel data methods","Londýn, Veľká Británia",2,2,"2020-05-14","2020-05-15","440 GBP",null,"https://www.cemmap.ac.uk/event/id/1710","This course in panel data econometrics, presented from a microeconometrics perspective, will cover linear panel data models with unobserved heterogeneity, including discussions of the strengths and weaknesses of the various estimation methods.",null,"nie"]
["CM004","Cemmap","Panel data methods","Londýn, Veľká Británia",2,2,"2020-05-18","2020-05-19","440 GBP",null,"https://www.cemmap.ac.uk/event/id/1711","This course in panel data econometrics, presented from a microeconometrics perspective, will cover linear panel data models with unobserved heterogeneity, including discussions of the strengths and weaknesses of the various estimation methods.",null,"nie"]
["EM014","EcoMod Network","Stock-Flow Consistent Macroeconomic Modeling Using Eviews","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course provides theoretical foundations and hands-on experience in building dynamic stock-flow-consistent (SFC) models which integrate real and financial markets.\n\nThe course will alternate theoretical discussions with hands-on lab sessions using the EViews software.",null,"nie","nie"]
["CE153","Center of Excellence in Finance","Monetary Policy Implementation in the Eurosystem","Ľubľana, Slovinsko",2,2,"2020-01-30","2020-01-31","0 EUR",null,"https://www.cef-see.org/20-monetarypolicy","We will place the monetary policy operations in the context of broader monetary policy strategy, emphasizing the link between the policy formulation and its implementation. Thus, we will discuss concrete experience of local implementation of monetary policy.\n\n During the workshop, we will review monetary policy instruments, including their effects on the central bank’s balance sheet and the liquidity of the banking system. Furthermore, we will discuss non-standard measures in the environment of low interest rates and low inflation.",null,"nie","nie"]
["CE154","Center of Excellence in Finance","Managing Financing and Costing of Pension System Reforms","Ľubľana, Slovinsko",3,3,"2020-02-05","2020-02-07","0 EUR",null,"https://www.cef-see.org/20-pensionreforms"]
["CE155","Center of Excellence in Finance","Tax Audit in the Context of Behavioral Compliance Risk Management","Ľubľana, Slovinsko",3,3,"2020-02-11","2020-02-13","0 EUR",null,"https://www.cef-see.org/2020-tax-audit","Objective of this workshop is to provide an opportunity for SEE tax auditors to share experiences and identify the best practices related to auditing small- and medium- sized enterprises (SMEs) based on the risk approach and taking into account the complexity of trade and particularly electronically provided services (e-commerce). Participants will learn how to leverage compliance risk management to affect taxpayer behavior through the use of audit techniques/methods. The workshop will combine theory with practice, providing participants insights into selection of cases and risk assessment by using traditional audit and e-audit methods or a combination of both.\nTopics:\nRisk identification and developing a compliance risk management strategy by creating a risk register (assess and prioritize) based on industry/cluster/taxpayer/tax\nAnalyzing compliance behavior and determining mitigating approaches by choosing the adequate strategy.  Choosing the adequate audit typology to be used for specific industries/cluster/taxpayers\nSophisticated and e-supported risk-based analysis techniques and audit programs targeting e-commerce.  Is our compliance risk management ready for detecting irregularities among taxpayers using e-commerce?  How can we face business to business and business to customer e-transactions?\nLegal framework and auditing methodologies in participating countries; do we have legal requirements/guidelines for e-audit?  Do we have specific structures within tax administration to control e-commerce?\nTypes of audit with an emphasis on e-audit and auditing e-commerce\nEfficient tax audit management; setting clear performance measures in order to evaluate audit output and outcome\nComputer Assisted Auditing Techniques (CAATs)\n",null,"nie","nie"]
["CE157","Center of Excellence in Finance","Statistics on international trade in goods and services","Ľubľana, Slovinsko",5,5,"2020-03-02","2020-03-06","0 EUR",null,"https://www.cef-see.org/20-tradestatistics","The workshop will explore how to compile and disseminate internationally comparable data at central banks. We will review and compare different practices to align with the statistical requirements of the European Central Bank, Eurostat and the IMF. This workshop will provide a thorough understanding of concepts as well as practical advice on data sources and techniques for compiling statistics on international trade in goods and services. Recognizing the challenges in the compilation of certain service categories (e.g. manufacturing, merchanting, insurance, financial services, construction), the course will emphasize specific aspects related to their treatment and recording in the balance of payments. We will also address the reasons for some mismatches between categories in the balance of payments and categories in national accounts (e.g. export/import data and deflators). Target audience: central bank officials engaged in compilation of macroeconomic statistics and statistical offices.",null,"nie","nie"]
["CE158","Center of Excellence in Finance","Regional Networking for Structural Reforms","Ľubľana, Slovinsko",3,3,"2020-03-03","2020-03-05","0 EUR",null,"https://www.cef-see.org/20-lmr2","This event will be the second meeting of the Network of Regional Experts (NRE) established under the FISR project. Also, a meeting of the Project Steering Committee (i.e. the ERP Coordinators) will take place during this event. NRE members will exchange impressions about the outcomes of the FISR project’s efforts, receive training-of-trainers capacity building in soft skills (effective policy writing and public speaking), and obtain specific technical knowledge of costing and budgeting structural reforms.\n\nMembers of the Project Steering Committee will get targeted capacity-building in leadership skills (building trust, enabling teamwork, facilitating processes).\n",null,"nie","nie"]
["CE159","Center of Excellence in Finance","Government Finance Statistics (By Invitation)","Ľubľana, Slovinsko",5,5,"2020-03-09","2020-03-13","0 EUR",null,"https://www.cef-see.org/20-dap2","This learning initiative concludes the multi-year project on developing GFS in South East Europe, carried out by the IMF Statistics Department in partnership with the CEF and with funding from the Swiss State Secretariat for Economic Affairs (SECO). The workshop will advise compilers of statistics on developing GFS data and data reporting, both to the IMF and the EU (cf. the Maastricht deficit and debt criteria, and the Excessive Deficit Procedure). It will also review the project's achievements and benefits as well as possible directions for continued learning on the topic in future. Target audience: high-level representatives of ministries of finance and central banks.",null,"nie","nie"]
["CE161","Center of Excellence in Finance","Review or Capital and Liquidity Adequacy Process","Ľubľana, Slovinsko",3,3,"2020-04-07","2020-04-09","0 EUR",null,"https://www.cef-see.org/20-icaap","The workshop aims to provide tools, guidelines and applicable experience for banking regulators in their review of internal risk-based assessment processes of capital adequacy and liquidity. With this workshop, we will cover internal capital / liquidity adequacy assessment processes (ICAAP/ILAAP) within the context of the supervisory review and evaluation process. Coverage of the framework, its use and practical experience will be presented. After discussing different implementation aspects of various countries, we will focus on assessing the status of banks' capital and liquidity requirements and their risk management. Target audience: banking regulators and supervisors. ",null,"nie","nie"]
["CE162","Center of Excellence in Finance","Performance-based Auditing","Ľubľana, Slovinsko",3,3,"2020-04-07","2020-04-09","0 EUR",null,"https://www.cef-see.org/performaud","The workshop will give a detailed overview of the principles and practices under which public sector internal auditors can deliver performance-based auditing, thereby ensuring that the organization under review is working toward and maintaining a high level of performance. After the initial review of the steps to the performance-based audit process, the participants will split into small groups and work on group assignments related to the practical application of the risk and control matrix value-for-money approach to performance-based auditing. They will learn about different performance audit tools and explore strategies to be used to ensure that organization’s objectives and the potential risks to achieving them are properly assessed and addressed. We will also explore the relationship between performance and financial audit in terms of their purpose, focus, audit criteria, applied methodology, as well as reporting requirements in both areas.\n\nTo develop an active and cooperative learning environment, the workshop will combine introductory presentations with group discussions and case study work guiding participants through performance auditing process and challenging them to consider audit alternatives, make critical decisions and examine the outcomes of their decisions. Sufficient time will be allotted to question and answer sessions to allow participants to benefit from the exchange of professional experiences and practical examples.\n\nBy the end of the course, participants will have:\n\nLearnt about how to identify and select the most relevant topics for performance audits\nExamined the question of how to define the scope and design of a performance audit\nLearnt how to develop a question and evidence matrix\nApplied techniques for conducting performance audits\nDiscussed the relationship between performance and financial audit\nLearnt about how to ensure quality assurance and quality control of performance audits\nReceived insights into using analytical tools for forming conclusions and recommendations as part of the audit report\nWho should attend\nThis practical hands-on workshop has been primarily designed for audit professionals (e.g.  internal and external auditors, financial managers, audit methodologists, performance analysts, quality managers) from Supreme Audit Institutions (SAI), ministries and other public institutions charged with service delivery from SEE countries.\n\nAs the workshop is designed to combine multiple dimensions of learning (experiential, reflective, theoretical, and practical), participants should have a good command of English to be able to fully engage in workshop’s activities.",null,"nie","nie"]
["CE163","Center of Excellence in Finance","Financial Reporting to Management","Ľubľana, Slovinsko",3,3,"2020-04-22","2020-04-24","0 EUR",null,"https://www.cef-see.org/20-cb-finrep","This workshop will address how to concisely and effectively generate and communicate financial information to the management and decision-makers. Through practical examples, including cases of central banks, the workshop will introduce different approaches and tools that can be used for the design of reports and communication of main messages inside the organization. It will support evidence-based decision-making process based on timely and accurate financial data. ",null,"nie","nie"]
["CE164","Center of Excellence in Finance","Increasing Taxpayer Compliance and Reducing Compliance Costs","Ľubľana, Slovinsko",3,3,"2020-04-22","2020-04-24","0 EUR",null,"https://www.cef-see.org/20-tpa4","This workshop aims at improving taxpayer services in a dialog with the taxpayers. Participants will discuss how digitalization of tax procedures and processes can impact taxpayers’ compliance. Attention will be paid to taxpayer services; the aspect of digitalization will be discussed as an influencing factor. Participants will debate how the development of e-services can change the processes of filing, registering and returning taxes; taking an inventory; centralizing and standardizing procedures, streamlining processes, and collaborating with all leaders across functions. The event will be delivered in Kosovo as a continuation of successful delivery of the program in the region. As Kosovo has a long history of improving taxpayer services and they are using IT as a tool to improve services, they will present their progress and results so far.",null,"nie","nie"]
["CE165","Center of Excellence in Finance","Fiscal Programming of Structural Reforms","Ľubľana, Slovinsko",3,3,"2020-05-20","2020-05-22","0 EUR",null,"https://www.cef-see.org/20-bpe3","The objective of this workshop is to determine technical and non-technical factors that contribute to improved programming, prioritization and incorporation of structural reforms into national budget and planning documents resulting in improved relevance and credibility of the Economic Reform Programs (ERP). It will identify implications of varying definitions of structural reforms, models for assessing their costs and effects, and mechanisms to align them with national planning documents and integrate them into the annual budget to secure their continuous funding and implementation. In addition, the workshop will examine practical tools and methods for the quantification of structural reforms’ impact on economic growth, competitiveness and employment. To secure funding for priority structural reforms, participants will also examine prospects for utilizing instruments from the new EU multi-annual financial framework. Target audience: officials from finance and policy departments of line ministries, and budget analysts in ministries of finance, who are involved in the ERP design and coordination.",null,"nie","nie"]
["CE166","Center of Excellence in Finance","Conducting financial and expenditure analysis in the public sector","Ľubľana, Slovinsko",3,3,"2020-06-02","2020-06-04","0 EUR",null,"https://www.cef-see.org/20-dap4","The workshop explores through simple practical examples how to perform financial analysis in the public sector. It will enable officials in finance departments to develop further their financial analysis capacities. The workshop will focus on the basic concepts of reading financial reports, performing financial analysis, calculating budgets, and understanding the most important financial ratios in the public sector. Target audience: finance departments within line ministries and budget analysts in ministries of finance.",null,"nie","nie"]
["EM015","EcoMod Network","Practical General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course will introduce all the basic tools for constructing and implementing large-scale applied general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nthe structure of open economy general equilibrium models,\nbuilding the database for such models,\nbuilding social accounting matrices,\ncalibrating a CGE model,\nformulating a CGE model as a non linear programming problem,\nformulating a CGE model as a mixed complementarity problem,\nimplementing the model on the computer using the GAMS software,\nusing the solvers CONOPT, MINOS, PATH, and PATHNLP,\nmodeling the labor market,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results,\nlinking GAMS and Excel for reading and reporting data",null,"nie","nie"]
["EM016","EcoMod Network","Agent-Based Economic Modeling Using Python","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","By the end of the course the participants will have acquired detailed knowledge of and hands-on experience in:\n\nPython\nHow to formulate research questions for agent-based models\nHow to write agent-based models\nHow to create firm agents\nHow to create household agents\nDifferent behavioral approaches to agents' behavior such as\nMaximizing agents\nAgents acting according to behavioral heuristics\nMachine learning and other behavioral approaches\nHow to structure them for extensionality",null,"nie","nie"]
["EM017","EcoMod Network","Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.\n\nCourse objective: \nthe use of MATLAB,\nthe use of DYNARE\nthe structure of DSGE models,\npreparing the database for DSGE models,\nestimating and calibrating DSGE models,\nintroducing stochastic shocks,\nintroducing imperfect competition,\nintroducing price and wage rigidities,\nimplementing the model using MATLAB and DYNARE,\nnumerical solution methods,\nimpulse response functions,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.",null,"nie","nie"]
["EM018","EcoMod Network","Energy and Environmental CGE Modeling with GAMS","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course will focus on modeling energy and greenhouse gas emissions. \n\nThe course will introduce all the tools for constructing and implementing large-scale, dynamic, multisectoral general equilibrium models for energy and environmental policy analysis. \n\nThe course deals with topics: \nthe structure of general equilibrium models for environmental policy analysis,\nintroducing dynamics,\nmodeling energy markets,\nmodeling complex nesting structures,\nintroducing greenhouse gases,\nmodeling tradable pollution permits,\nmodeling carbon taxes,\nmodeling technical change,\nmodeling backstop technologies,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.",null,"nie","nie"]
["EM019","EcoMod Network","Financial Social Accounting Matrices (FSAM): Building and Modeling Real-Financial Multiplier Models for Policy Analysis","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","This course provides a strong theoretical foundation and hands-on experience in building Social Accounting Matrices according to the new recommendations of System of National Accounts 2008. The content of the course goes beyond the generalized input-output framework for calculating simple multipliers by considering a Financial Social Accounting Matrix (FSAM).\n\nThe development of integrated financial information at the sectoral level has become central to understanding the interconnectedness between the real and financial sides of the economy. Understand the key components of its construction provides the participants with a tool to deepen the analysis of the financial sector and of the determinants of financial vulnerability associated with interactions with other sectors of the real side of the economy.",null,"nie","nie"]
["EM020","EcoMod Network","Machine Learning with Python for Economics and Econometrics","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","The course will introduce all the basic techniques of machine learning using Python, Keras and tensorFlow.\n\nThis course explores the intersection of machine learning and economics. The course will cover standard machine learning techniques such as supervised and unsupervised learning, statistical learning theory and nonparametric and Bayesian approaches. The course is fully hands-on. Participants will learn the essentials of the Python language and how to implement machine learning using Python, Keras, and TensorFlow.",null,"nie","nie"]
["EM021","EcoMod Network","Macroeconometric Modeling using Eviews","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-2","This course is tailored for staff developing or using small or medium size macro models and staff involved in forecasting and policy analysis in the central banks, ministries and international institutions.\n\nThe course will introduce all the basic tools for constructing and implementing medium-scale macroeconometric models for policy analysis.\nCourse deals with topics:\nthe use of EViews,\neconometrics with EViews,\nthe structure of macroeconometric models,\nbuilding the database for such models,\nestimating and calibrating the models,\nimplementing the model on the computer using EViews,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.",null,"nie","nie"]
["EM022","EcoMod Network","Microsimulation Modeling Using Stata for Tax, Pension, and Health Care Policies","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course provides theoretical foundations and hands-on experience in building and using microsimulation models for tax, pension, health care and social benefit policies.\n\nCourse objective: \nStata\nBuilding and using microsimulation models for personal income tax\nBuilding and using microsimulation models for pensions\nBuilding and using microsimulation models for health care and social benefits\nHow to use survey and administrative data\nHow to link microsimulation to macro or CGE models\nHow to calibrate the model\nStatic and dynamic microsimulation models\nScenario analysis using microsimulation models",null,"nie","nie"]
["EM023","EcoMod Network","Overlapping Generation General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2020-06-29","2020-07-03"," 3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-week-1","The course will introduce all the basic tools for constructing and implementing overlapping generations general equilibrium (OLG-GE) models with perfect foresight and finite lifetimes. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:\n\nmodeling dynamic consumption behavior in OLG-GE models,\nmodeling dynamic production behavior in OLG-GE models,\nmodeling forward-looking expectations,\nmodeling tax and social security systems,\nbuilding the database for such models,\nintroducing complicated population dynamics and population aging,\nimplementing the model on the computer using the GAMS software,\nformulating scenarios and running policy simulations,\nreporting and interpreting the results.",null,"nie","nie"]
["IT007","International Tax Center ITC Leiden","TP and Digitalization of the Economy","Leiden, Holandsko",5,5,"2020-06-29","2020-07-03","1000 EUR",null,"https://www.itc-leiden.nl/en/itc-leiden-2019-2020-adv-llm-single-courses","This course focuses on the transfer pricing perspectives of today’s hot topic in the international tax\ndebate: the challenges posed by the digitized economy. After an introduction on the different\nbusiness models applied in the digital economy, an analysis will be made of the transfer pricing\nchallenges and of the approaches suggested by the OECD and EU. This examination will deal with the\napplication of the various solutions (e.g., global formulary apportionment, withholding tax) and will\ninclude an entire day on the application of the profit split to the different business models. The last\nlecture will deal with the new world of the blockchain and its interaction with transfer pricing.","A 10% discount applies if at least 6 weeks of Transfer Pricing courses (applicable for any combination of Basic, Advanced and Specialized Focus courses) are registered for by the same person. Tuition fees should be receivied by ITC Leiden 30 days before the first day of the course.","nie"]
["CU007","Cranfield University","Strategic Management in Defence","Shrivenham, Veľká Británia",2,3,"2020-05-10","2020-05-12","1050 GBP (1210 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/strategic-management-in-defence","Knowledge and Understanding: Appraise the key academic theories involved in strategic management, Critically evaluate the potential relevance of these theories in a defence context. Skills: Critically analyse commercial situations to determine the relevance of particular theories, Generate and evaluate debate on the relevance of leadership theories to the defence context, Develop academically grounded arguments to support a particular stance.\n",null,"nie","nie"]
["CU011","Cranfield University","Capability and Acquisition Series Module 3 – Programme and Project Elective - CAPAC3","Shrivenham, Veľká Británia",5,5,"2020-05-18","2020-05-22","1750 GBP (2020 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/capability-and-acquisition-series-module-3-programme-and-project-elective","By the end of the course you will have an understanding of: practitioner project management or practitioner programme management. If you successfully undertake all 3 modules from the Capability and Acquisition Series you will be awarded one or more of the following (depending on the learning pathway you have chosen):Managing Successful Programmes (Foundation), Managing Successful Programmes (Practitioner), Project Management Qualified (APM PMQ).","Before you attend you need to have read ‘How Defence Works’ and undertake one of the following: •Navy – link via DLE to Navy Acquisition System Awareness eLearning v1.0, hosted on the  DLE under courses, •RAF – link via DLE to Air Acquisition Awareness training hosted on the DLE, under schools / RAF / COS Cap, •Army – link via DLE to Acquisition System Awareness ELearning hosted on the DLE, under schools / Army / Army Intelligent Customer / ELearning. ","nie","nie"]
["CU009","Cranfield University","Capability and Acquisition Series Module 1 - Capability","Shrivenham, Veľká Británia",4,4,"2020-06-01","2020-06-04","1400 GBP (1615 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/capability-and-acquisition-series-module-1","You will acquire an understanding of the MOD’s capability management processes and their application in the development and generation of affordable and strategy-compliant force structures and military. ","V ponuke je viacero dátumov.","nie","nie"]
["MS001","Maastricht School of Management","Machine Learning and Data Mining using Python","Maastricht, Holandsko",5,6,"2020-06-29","2020-07-04","850 EUR","2020-05-20","https://www.msm.nl/education-programs/research-summer-school/machine-learning-data-mining-with-python/intro-machine-learning-data-mining","This 6-day course will familiarize participants with Machine Learning and Data Mining algorithms using the Python programming language. You will learn to recognize the correct machine learning approach for a given problem; furthermore, participants will learn how to implement several different algorithms. Finally, towards the end of the course we will introduce more advance machine learning topics and methodologies for combining several approaches to solve specialized problems. The lab classes will use the Python programming language and public data sets. The solutions to the exercises can easily be transferred to other programming languages such as R or Octave.","Early Bird Fee (780 EUR - registration until 20.4.2020)","nie"]
["SU001","Stanford University","Statistics for Artificial Intelligence, Machine Learning, and Data Science: An Introduction","Online",45,61,"2020-06-29","2020-08-28","575 USD",null,"https://continuingstudies.stanford.edu/courses/professional-and-personal-development/statistics-for-artificial-intelligence-machine-learning-and-data-science-an-introduction/20194_STAT-05-W","This online course will give students a high-level overview of some of the most common concepts in statistics that make AI and ML possible. Indeed, many of the newest algorithms, such as neural networks, random forests, and k-nearest neighbors, use statistics not only to build a model but also to evaluate its accuracy. The course will cover two broad areas of statistics: inference and prediction. The inference portion will introduce common statistical concepts that allow us to understand a population and test hypotheses (such as performing A/B tests and calculating and interpreting p-values). The prediction section will begin with the simplest of algorithms (linear regression) and gradually touch upon more advanced topics such as random forests and cross-validation. Real-world examples will be used from the fields of healthcare, genetics, marketing, and manufacturing. By the end of the course, students will have a high-level understanding of common statistical tools used in AI and ML algorithms and be able to derive their own conclusions from statistical studies."]
["UT323","Utrecht University","Systemic reviews and meta-analysis of individual participant data (IPD)","Utrecht, Holandsko",5,5,"2020-06-29","2020-07-03","830 EUR",null,"https://www.uu.nl/en/professionals/programmes/systematic-reviews-and-meta-analysis-of-individual-participant-data-ipd","The course consists of plenary presentations, small-group discussions, reading assignments, and computer exercises. The course ends with an exam. \n\nAt the end of the course, you will be able to: \n\nExplain the rationale for performing an individual participant data meta-analysis (IPD-MA)\nUnderstand the advantages, limitations and key characteristics of IPD-MA in intervention, diagnostic and prognostic research\nUnderstand the relevance of between-study heterogeneity, and be familiar with statistical methods for investigating and reporting this.\nBe familiar with statistical methods for summarizing relative treatment effects and exploring the presence of treatment-covariate interaction\nBe familiar with statistical methods for developing and validating clinical prediction models using IPD from multiple studies or settings\nBe familiar with statistical methods for investigating and comparing diagnostic test accuracy using IPD\nInterpret and critically appraise the results from an IPD-MA","we expect participants to have a basic knowledge about the principles of intervention research, diagnostic research, prognostic research, systematic reviews and meta-analysis","nie","áno",2]
["DU158","Duke University","Monitoring and Evaluation of Development Programs","Durham, USA",10,13,"2020-05-31","2020-06-12","6 500 USD","2020-04-30","https://dcid.sanford.duke.edu/academics/exed/monitoring-evaluation","Effective monitoring and evaluation of programs remains both a challenge and priority in developing and emerging economies. It is a key element for successful planning and implementation of development programs in sectors such as health, education, agriculture, rural and urban development, and municipal services. The two-week program on Monitoring and Evaluation of Development Programs (M&EDP) helps participants learn the key steps and analytical tools to design and monitor programs and develop an analytical framework to evaluate their performance and outcomes.",null,"áno","nie"]
["DU159","Duke University","Tax Analysis and Revenue Forecasting ","Durham, USA",20,27,"2020-06-14","2020-07-10","10 500 USD","2020-05-14","https://dcid.sanford.duke.edu/academics/exed/tax-analysis","Tax analysis and revenue forecasting have become increasingly important functions as governments undertake reforms of their tax systems to enhance revenues, improve the equity and efficiency of taxes, and promote economic growth.The four-week Tax Analysis and Revenue Forecasting workshop covers the economic foundations of tax policy, revenue forecasting and statistical techniques to give participants the capacity to implement successful tax reforms. The course covers a wide variety of taxes such as value-added tax, personal and corporate income tax, excises, property tax, trade taxes and taxes on natural resources. The application of macroeconomic models, micro-simulation models and typical taxpayer models are also covered.",null,"áno","nie"]
["IP011","ictPRO","Datová analýza v Pythonu","Brno, Česko",3,3,"2020-07-15","2020-07-17","14 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYTH4.aspx","Chtěli byste se dozvědět více informací z vašich dat? Nestačí Vám Excel a SQL? Potřebujete dělat pravidelné reporty z různých zdrojů a komplexních dat a chce to celé automatizovat? To všechno a další věci Vás naučíme v tomto kurzu. Seznámíte se s moderními technologie založenými na jazyce vhodném pro \"odborníky neprogramátory\", tedy Pythonu.",null,"nie","len v prípade záujmu"]
["VU322","VU University Amsterdam","Global Health","Amsterdam, Holandsko",10,15,"2020-07-18","2020-08-01","1 150 EUR",null,"https://www.vu.nl/en/programmes/short/summer-school/courses/global-health/index.aspx","This course provides you with in-depth insights into the growing complexity of the burden of disease, particularly in low and middle-income countries, as well as the main challenges surrounding health systems, infectious and non-communicable conditions, child and reproductive health. It equips you with a critical and holistic view on these challenges as well as the potential solutions.\nThanks to our association with the Amsterdam Institute of Global Health and Development (AIGHD), we offer you access to an extensive network of partners and experts in health and related domains. In group discussions and debates, they invite you to think critically about these issues around the world. Your learning experience is further enriched through thought-provoking interviews with key local and international actors in the field.","Airport pick-up service\nCourse excursions\nOrientation programme and welcome\nOn-site support and 24/7 emergency assistance\nA transcript of records and certificate of attendance after completing the course\nMeal vouchers to be spent at the university restaurant for either lunch or dinner\nA discounted access to our sport facilities","nie","nie","","","","",""]
["MA241","Massachusetts Institute of Technology (MIT)","Foundations of Data and Models: Regression Analytics","Online",5,5,"2020-07-20","2020-07-24","4500 USD","2020-07-13","https://professional.mit.edu/course-catalog/foundations-data-and-models-regression-analytics","This course aims to teach a suite of algorithms and concepts to a diverse set of participants interested in the general concept of fitting data to models. It starts with mostly simple linear algebra and computational methods, and introduces some more difficult mathematical concepts towards the end. This method also, by design, fits in with our approach of morning lectures and afternoon practice on personal computers. The combined teaching system provides opportunities for much hands-on learning and participants leave the course with practical knowledge of the basic algorithms.\n\nApplied data science enjoys widespread application in nearly every industry today. It lies at the intersection of the quantitative (statistics and optimization), the computational (programming and IT), and the domanial (business knowledge).\n\nParticipant Takeaways\nExamining how to fit data to models\nDefining linear least squares, non-linear least squares, singular value decomposition, sensitivity analysis, experiment design, and parameter error estimation\nAppreciating grid search, random search, simulated annealing, genetic algorithms, neural networks, and large inverse systems\nInvestigating principles leading to rapid application of methods\nEvaluating the results of pre-programmed computer exercises"]
["TC007","Tayllorcox","Prince2 foundation","Online/Brno, Česko",3,3,"2020-07-20","2020-07-22","19 400 Kč bez DPH",null,"https://www.tx.cz/prince2/prince2-foundation","Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory.","Na vvýber je viacero termínov počas celého roka\nPřipojištění certifikační zkoušky + jeden pokus navíc!1 500 Kč bez DPH\nS pojistkou Take2 PeopleCert získáte v případě neúspěchu #2. pokus - náhradní certifikační zkoušku. Ihned a zdarma. Bez smluv a papírování.\n\nUbytování1 200 Kč bez DPH\nUbytování za 1 osobu / noc\n\nParkování400 Kč bez DPH\nParkování za 1 auto / den","nie","áno"]
["TI288","Timberlake Consultants","Summer School Course - Forecasting with EViews ","Online",5,5,"2020-07-20","2020-07-24","150 (1 day) - 750 (5 days)","2020-07-18","https://www.timberlake.co.uk/courses/eviews-forecast-summer-school-20.html","The 2020 EViews Summer School comprises a series of 5 1-day courses running consecutively. \n\nThe courses are to be delivered by Prof. Lorenzo Trapani of the University of Nottingham. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 11 software. \n","Apply and pay before 19 July 2020",null,null,2]
["TI289","Timberlake Consultants","Advanced Panel Data Analysis with Stata ","Online",2,2,"2020-07-20","2020-07-21","450 GBP","2020-07-18","https://www.timberlake.co.uk/courses/advanced-panel-data-analysis-with-stata.html","The course follows the Panel data Analysis with Stata and aims at provide participants with a theoretical and practical understanding of advanced panel methods, i.e. non-linear panel models.\n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis. \n","Apply and pay before 19 July 2020",null,null,2]
["EL002","EML Learning","Applying Econometrics for Policy Evaluation","Londýn, Veľká Británia",2,2,"2020-03-09","2020-03-10","698 GBP + VAT",null,"https://www.eml-learning.co.uk/course-categories/economics-courses/applying-econometrics-for-policy-evaluation/","This two-day course covers a range of econometric evaluation techniques that are used to gauge policy impacts (with a focus on microeconomic contexts). Consideration is given to standard regression-based approaches, instrumental methods, difference-in-differences and matching methods. Regression discontinuity and fixed effects panel data estimation are also considered. We focus attention on findings from a number of key academic journal articles, together with government-commissioned studies. The course gives attendees a good overview of the approaches considered, their strengths and weaknesses, together with a more detailed consideration of practical estimation for each method. We will not be working on computers, but direction on basic STATA commands is provided for the main methods covered. The course helps attendees identify the potential pitfalls that one encounters when attempting to answer policy questions using microeconometric techniques, and the practical steps to avoid these.",null,"nie","nie","","","","",""]
["EB001","European Central Bank","11th ECB Conference on Forecasting Techniques - Avenues for the next 20 years","Frankfurt nad Mohanom, Nemecko",2,2,"2020-06-08","2020-06-09","0 EUR",null,"https://www.ecb.europa.eu/pub/conferences/html/20200608_forecasting_techniques.en.html","This biennial conference provides a forum for new theoretical and applied work on forecasting. For more than a decade the world economy has operated under high economic, financial and – more recently – also political risks. Macroeconomic forecasting in such an environment has to be able to cope with high uncertainty, nonlinearities and structural breaks.\n\nThis conference will bring together experts from different fields to exchange new ideas on macroeconomic and financial forecasting when uncertainty is high. It will look for ways to put new insights from econometric and statistical theory into practice, especially in the current macroeconomic environment. We particularly encourage submissions on the following topics:\n\nuncertainty and the economic cycle;\nrobust forecasting in the presence of nonlinearities and structural breaks;\nmodelling and forecasting tail events;\nforecasting with dynamic panels and with large VARs;\nmachine learning and scalable forecasting methods;\nforecasting inflation, real activity, and exchange rates;\nbig and/or unstructured data and dimension reduction techniques.\nThe scope of the conference is not limited to the topics listed above and submissions from all areas of forecasting are welcome.","Travel and accommodation expenses of the presenters of accepted papers and of discussants will be covered by the ECB. (Participants from the European System of Central Banks and from European institutions will be expected to cover their own expenses.)","áno"]
["EC203","European Consortium for Political Research (ECPR)","Seasoned Scholar Workshop: Quantitative Methods","Bamberg, Nemecko",2,3,"2020-02-13","2020-02-15","3 060 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9107&EventID=140","This Workshop is tailored for scholars with significant research experience beyond their PhD, and organised on a flexible basis to meet specific methodological needs.\n\nTamás will cover a broad span of statistical and formal methods. Depending on participants’ needs, this may include aspects of survey and experimental design, quality control, missing data, methods of causal analysis, graphical modelling (aka Bayesian networks), and methods for the detection and analysis of higher dimensional interactions. Some issues of ‘mixed’ methods designs, with a strong quantitative component, may also be covered.\n \n\nLong Course Outline \n\n\n\nIf you are an experienced scholar with significant research experience beyond your PhD, and/or if you occupy a senior academic role, this Workshop is for you.\n\nTypical research methods needs / challenges you might face include:\n•writing up the methods section of a research project\n•choosing the appropriate method(s) for a funded project\n•arbitrating between methodological options\n•updating your knowledge of recent evolutions in methods applicable to your field\n•troubleshooting your own methods use\n•learning which methods experts to contact for what\n•getting advice on methods training for your team members\n•receiving feedback on a syllabus you are putting together\n•getting advice on methodological topics in existing syllabi\n•writing up methods sections of publications (articles, books, reports, etc)\n\nWe recognise that time is scarce for seasoned scholars like you. This Workshop offers you a time-efficient formula to get tailored advice from an expert team.\n\nThis Workshop is organised on a flexible basis to meet your specific needs. It covers a broad span of statistical and formal methods. Depending on participants’ needs, this may include aspects of survey and experimental design, quality control, missing data, methods of causal analysis, graphical modelling (aka Bayesian networks), and methods for the detection and analysis of higher dimensional interactions. Some issues of ‘mixed’ methods designs, with a strong quantitative component, may also be covered.\n","09:00–17:00 each day (organised flexibly)","nie","nie",1.8,"","","",""]
["EC204","European Consortium for Political Research (ECPR)","Seasoned Scholar Workshop: Multi-Method Designs, Case-Oriented and Comparative Methods","Bamberg, Nemecko",2,3,"2020-02-13","2020-02-15","3 060 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9108&EventID=140","This Workshop is tailored for scholars with significant research experience beyond their PhD, and organised on a flexible basis to meet specific needs.\n\nIt covers a broad range of case-oriented methods and designs (single case studies, process tracing, ‘thick’ binary comparisons, etc…), comparative methods and designs (small-N comparisons, intermediate-N comparison across multiple cases, Qualitative Comparative Analysis (QCA) and neighbouring methods, typology-building, etc.), and ‘mixed’/multi-methods designs combining qualitative, comparative and/or quantitative methods.\n \n\nLong Course Outline \n\n\n\nIf you are an experienced scholar with significant research experience beyond your PhD, and/or if you occupy a senior academic role, this Workshop is for you.\n\nTypical research methods needs / challenges you might face include:\n•writing up the methods section of a research project\n•choosing the appropriate method(s) for a funded project\n•arbitrating between methodological options\n•updating your knowledge of recent evolutions in methods applicable to your field\n•troubleshooting your own methods use\n•learning which methods experts to contact for what\n•getting advice on methods training for your team members\n•receiving feedback on a syllabus you are putting together\n•getting advice on methodological topics in existing syllabi\n•writing up methods sections of publications (articles, books, reports, etc)\n\nWe recognise that time is scarce for seasoned scholars like you. This Workshop offers you a time-efficient formula to get tailored advice from an expert team.\n\nIt covers a broad range of case-oriented methods and designs (single case studies, process tracing, ‘thick’ binary comparisons, etc…), comparative methods and designs (small-N comparisons, intermediate-N comparison across multiple cases, Qualitative Comparative Analysis (QCA) and neighbouring methods, typology-building, etc.), and ‘mixed’/multi-methods designs combining qualitative, comparative and/or quantitative methods.","09:00–17:00 each day (organised flexibly)","nie","nie",1.8,"","","",""]
["EC205","European Consortium for Political Research (ECPR)","Foundations of Set-Theoretic and Case-Oriented Methods","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9102&EventID=140","This course introduces you to the logic and basics of case-oriented and set-theoretic methods.\n\nIt is particularly useful preparation for the main courses on process tracing, comparative research design, and Qualitative Comparative Analysis (QCA).\n\nWe will discuss perspectives on causality, case-orientation in empirical social research, and the main features of set-theoretic methods.\n\nWe will reflect on different types of research questions, evidence and observations, causal complexity, causal effects, causal mechanisms, and context. The course then covers basics of set theory, measurement and set calibration, logical operations, and the logic of necessary and sufficient conditions as set relations. We will apply these notions by looking at different ways of defining, structuring, and operationalising concepts and cases.\n\nLong Course Outline\nThis course introduces you to the logic and basics of case-oriented and set-theoretic methods. It is useful preparation for the main courses on process tracing and comparative case study design, and mandatory for those taking the main course Introduction to Qualitative Comparative Analysis (QCA). \n\nBy the end of the course, you will:\n\nBe able to situate your case-oriented/ set-theoretic research within the plurality of approaches and methodologies in social science research, and identify areas of application\nHave a basic understanding of the logical underpinnings, basic notions and analytical goals of case-oriented and set-theoretic methodology\nBe familiar with a selection of classic and recent key readings about case-oriented and set-theoretic methodology\nUnderstand, and be able to apply, basic notions of set theory, set calibration and set-theoretic concept formation in real-life research settings\nBe able to critically evaluate case-oriented and set-theoretic research with regard to their logical and analytical underpinnings\nBe prepared for the ECPR Methods School main courses on process tracing, comparative case study design, or Qualitative Comparative Analysis (QCA)\nThe course has an introductory and preparatory focus. It will not provide you with specific methods skills yet, but introduce you to the underlying logic of case-oriented and set-theoretic methods. The R lab session will not give you sufficient skills to independently perform empirical data analysis with R; instead, it will familiarise you with the very basic operational features of R in R studio, and give you an opportunity to gain a first experience in working with empirical datasets in R.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC206","European Consortium for Political Research (ECPR)","Introduction to Conjoint Experiments","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9125&EventID=140","This course is an introduction to the logic and basic notions of conjoint analysis (CJA). Particular attention will be paid to Choice-Based design: the analysis, the interpretation of the results, and the limitations of conjoint experiments. We will apply these notions by looking at different applications of conjoint analysis within the field of behavioural sciences. The course will focus in particular on: \n\n1. What is a conjoint experiment?\n2. The different type of conjoint analysis and their applicability in social sciences. \n3. The advantages of conjoint experiments compared to other designs. \n4. How to design and deploy a conjoint experiment \n5. How to analyse and interpret the results of a conjoint experiment\n\nLong Course Outline\nEstimating causal effects is a central aim of quantitative empirical analysis in social sciences. Recently, Conjoint Analysis and Choice-Based Conjoint Experiments have gained interest among social scientists to understand and predict people's preferences in a multi-dimensional and multi-choice environment. This course offers an applied introduction to Choice-Based Conjoint, along with hands-on experience in lab sessions. \n\nBy the end of the course, you will:\n\n1. Have a basic understanding of the structure, logical underpinnings, basic notions, and analytical goals of conjoint analysis. \n2. Identify areas of application where conjoint analysis could be successfully implemented. \n3. Critically evaluate conjoint experiment applications and understand the advantages/disadvantages compared to traditional methods. \n6. Implement your own conjoint experiment into an (online) survey platform.\n7. Understand and be able to apply different techniques to analyse conjoint experiments. \n8. Be able to efficiently visualise your results \n10. Be well prepared for more advanced conjoint and factorial design courses or workshops. \n\nThe course is structured around six key topics:\n\nI present the general idea of conjoint experiments. I introduce the logic underlining conjoint experiments, their development, and the reasons behind the rising interest in them within the social sciences. \nI briefly introduce the 'utility' function at the base of Choice-Based Conjoint analysis. In particular, I give an overview of the Random Utility Theory and discuss it within the framework of social and behavioural science. \nI present different ways to measure individual preferences in a conjoint experiment. The focus will be on Choice-Based Conjoint measurement but we will briefly discuss other measurements (e.g. Rating, Ranking, Combined, and Adaptive). \nI give an overview of different types of conjoint design, their use, and their limitations. I present and explain Alternatives, Choice Sets and Context design, paying particular attention to the design of conjoint alternatives. \nI focus on the construction and implementation of a conjoint experiment. Specifically, I show how to design alternatives with attributes/levels constraints and randomisation using a ready to use JavaScript/Python program and R. \nI give an overview of different methods to analyse a conjoint experiment. Specifically, I focus on AMCEs, marginal mean and omnibus F-test. We will briefly discuss subgroup differences and visualisation. ","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC207","European Consortium for Political Research (ECPR)","Automated Web Data Collection with R","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9060&EventID=140","This course introduces the most important tools for collecting and managing web data. It does so by relying on R, which has vastly expanded its web-scraping functionality in recent years. The major advantage of R for web scraping is that all the steps in a research project can be taken in a coherent framework – data collection, data processing, data analysis and visualisation – ensuring a more friction-free research process.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC208","European Consortium for Political Research (ECPR)","Introduction to R (entry level)","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9086&EventID=140","R is a powerful and versatile statistical computing environment. This course introduces you to many of its most commonly used features. \n\nFirst, prticipants will learn what R is and how it works, how data can be read into R, and how these data can be accessed and manipulated.\nNext, course will cover various ways to summarise and tabulate the data, and how to use them for statistical inference. Participants will also learn how to work with some of R's plotting tools.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC209","European Consortium for Political Research (ECPR)","Introduction to R (for participants with some prior knowledge in command-line programming)","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9076&EventID=140","R is a powerful and versatile computing environment, widely used by statisticians, economists, and political scientists.\nIn three sessions particiapants will learn how R works and which tools are available to facilitate working with R (in particular RStudio).\nCourse will cover reading in data from other data formats such as SPSS and STATA, as well as how to save data, how to merge different datasets and bring them into the desired data format, analysing data, implement regression analysis in R, and access various elements of our statistical models for further analysis. Course will also cover data transformation and how to deal with special values in R.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,4,1,"Začiatočníkom","Nízka obsahová kvalita kurzu, Nevhodná štruktúra kurzu (kompaktnosť tém, chronológia kurzu, časová dotácia, kapacita kurzu a pod.), Nedostatočná časová dotácia kurzu, Nedostatok priestoru si trénované zručnosti odskúšať, Nízka kvalita prednášajúcich (ako pedagógov)."]
["EC210","European Consortium for Political Research (ECPR)","Introduction to Stata","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9099&EventID=140","The course is an add-on to content-based courses. It introduces how Stata works and how it can be used to conduct descriptive, bivariate and multivariate analyses. The course does NOT give detailed insight into statistical techniques or modelling.\nBy the end of this course, participants will be able to use basic Stata commands, and understand 'how Stata does things' well enough to use it for their own analyses.\nThis course cannot cover all Stata commands and procedures, but will focus on frequently used methods. ","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC211","European Consortium for Political Research (ECPR)","Introduction to Python Programming","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9127&EventID=140","On the first day we learn how to operate an efficient software environment using terminal commands, installing programming packages with Anaconda, and running code in the Jupyter Notebooks and Pycharm. We then learn about the different data types in Python.\n\nOn the second day you will learn how to scrape simple websites, and analyse and visualise data with Pandas.\n\nLong Course Outline\nDay 1\n\nWe build the basics of a working Python programming environment, which will help later to advance in the language.\n\nYou will learn how to use the terminal to move between directories, copy and delete files, and run programs with bash/shell scripts.\n\nAfter getting familiar with the terminal, we will look deeper into the Anaconda environment; learning how to run Jupyter notebooks and scripts from the terminal, and to manage packages and environments.\n\nDuring the second part of the day you will learn about different data types (strings, integers, floats, lists, sets, dictionaries) and practice using them with fun programming games.\n\nDay 2\n\nWe will learn the basics of web scraping using the Request and Beautiful soup libraries. We will introduce how to write functions, and help you get familiar with loops.\n\nThe last part of the day will give a gentle introduction to Pandas, focusing on importing and exporting data, running descriptive statistics, and basic data visualisation with Seaborn/Matplotlib.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC212","European Consortium for Political Research (ECPR)","Regression Refresher (before you take a more advanced stats course)","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9083&EventID=140","This course is a refresher about regression. Course covers the conceptual foundations of statistical inference, math underlying regression, regression’s multivariate form focused mainly on the functioning of ordinary least squares, review the assumptions of regression models both from the perspective of why these assumptions exist and what happens if you violate them. \nCourse covers practical tips on how to deal with assumption violations, homoscedasticity, autocorrelation, linearity of relationships and collinearity. Topics are covered both in theory and through an example presented in R.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC213","European Consortium for Political Research (ECPR)","Relational Event Models (REM)","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9128&EventID=140","This course is an introduction to Relational Event Models (REMs), inferential models that use temporally fine-grained records of social interactions to model complex interaction patterns and endogenous processes.\n\nExamples of social interaction data include political actions (such as legislative co-sponsoring, vetoing or engaging in military actions), and email communications or online interactions (eg commenting on blogs, tweeting).\n\nYou will learn how to prepare different data types, to estimate REMs and interpret their results.\n\nYou will gain hands-on experience in modelling relational events and learn how to model theory-driven social mechanisms. \n\nLong Course Outline\nRelational event models are powerful tools for examining how social networks evolve over time. Building on event history analysis, REMs combine network dependencies with temporal dynamics and allow for the analysis of group formation patterns – such as alliance or coalition formation processes – influencing dynamics, social learning and other social mechanisms. \n\nREMs aim to explain the temporal order of social interactions.\n\nWhy do two people suddenly start exchanging emails?\nWhy do two governments start engaging in military conflicts?\nWhy do two members of parliament start collaborating with each other on a new legislative proposal?\n\nThe answers to these questions are sometimes found in the broader context of these events:\n\nIf two countries take up arms against each other, the alliances that formed beforehand play a key role.\nIf two people start exchanging emails it is possible that a mutual friend introduced them to each other.\nAnd if two members of parliament start working on a mutual proposal it is possible that they both learned about their mutual interest by both opposing a proposal by another member.\n\nThe events that occurred in the past often guide subsequent events. The relational event point of view can help uncover not simply how previous interactions between actors a and b shape their future interactions, but also how changes in their surrounding network (i.e., with events that do not even involve a or b) affect how a and b interact in the future. It is a powerful framework for time-stamped or time-ordered analysis of social interactions that takes the surrounding context and an actor’s embeddedness into account. And so REMs build on event history analysis to ask the question: why does one event occur at time t and why has it not occurred before? And, in a broader sense, which patterns of past interactions can help explain a specific sequence of events? \n\nThis course provides a hands-on introduction to REMs. You will learn the statistical backbone of REMs and apply them in different lab sessions. Since REMs are longitudinal models, we will pay special attention to the temporal aspects of the model, including data preparation and operationalisation of dynamic social mechanisms such as reciprocity, closure or homophily. The course also focuses on the interpretation of REMs and assessing their goodness-of-fit. All lab sessions are held in the statistical computing environment R. \n\nApart from the practical aspects, the course also focuses on theory-driven research. REMs can be used to detect social influencing, understand social exchanges and communication patterns or determine causes for group formation processes. Different network concepts are presented throughout the course and we will discus their operationalisation. You are encouraged to bring your own research interests to the course and think about ways to operationalise and test your hypotheses. \n\nYou are also welcome to bring your own network data or research ideas to discuss their potential and feasibility.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC214","European Consortium for Political Research (ECPR)","Maximum Likelihood Estimation","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9093&EventID=140","This course introduces maximum likelihood estimation (MLE), one of the most important methods for parameter estimation in modern social sciences, on which a large body of published empirical works relies. Participants will learn the basic idea of MLE, and some of its extensions in several example cases.\nIn contrast to the least squares methods, MLE requires participants to make some assumptions about distributions of stochastic terms. This course therefore also deals with basics of probability theory.\nStudents will write programs in R to estimate some model parameters.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC215","European Consortium for Political Research (ECPR)","Introduction to NVivo for Qualitative Data Analysis","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9085&EventID=140","This course will teach you how to use NVivo for the management, coding, analysis and visualisation of qualitative data. It follows the qualitative data analysis process in sequence, and covers how to:\n\nset up a project and organise data\nmanage a literature review\ncode and analyse data\npresent qualitative findings.\n\nLong Course Outline\nNVivo is software programme for qualitative data analysis. It is a powerful platform that supports text, multimedia, pictures, PDFs, open-ended surveys from Excel and Survey Monkey, reference libraries, webpages, social media data from Facebook, Twitter, LinkedIn, and YouTube, notes from Evernote and OneNote, and emails from Outlook.\n\nNVivo supports a range of inductive and deductive methods to qualitative analysis such as\n\nthematic and content analysis\nwithin and cross-case analysis\ndiscourse\nconversational and narrative analysis\ngrounded theory\nanalytic induction\nqualitative research synthesis.\nThis course aims to give you the knowledge and skills to use the basic and advanced features of NVivo in your own research. The content is spread over four modules and will teach you how to:\n\nset up a project and organise data\nwork with multimedia\nmanage a literature review\nautocode and code data inductively\ngenerate hypotheses\nseek patterns and discover relationships\npresent qualitative findings.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC216","European Consortium for Political Research (ECPR)","Introduction to MAXQDA: A Qualitative and Mixed Methods Data Analysis Software","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9072&EventID=140","This course offers an applied introduction to MAXQDA, an easy-to-use tool for qualitative and/or mixed methods data analysis, now available as a universal application for Windows and Mac OS. You will get a practical overview of how to manage, code, and analyse different types of qualitative data, and report findings using MAXQDA. After the ccourse, you will know how to work independently using MAXQDA.\n\nThis is a hands-on course is organised under three fundamental topics. Activities will consist mostly of in-class demonstrations combined with guided practice using predefined datasets and worksheets. The worksheets consist of extensive applied examples, valuable for future reference. A small assignment will be given out after the first contact hours.\n\nLong Course Outline\nMAXQDA is easy to learn, and contains powerful tools for efficient research data management and analysis using project files. Instead of struggling to learn intricate software procedures, MAXQDA users can master and implement an extensive range of research methodologies.\n\nThis practical course consists of three topics covering the main stages of the qualitative data research process. You will be introduced to basic and more advanced features. By the end of the course, you will know how to use MAXQDA in your qualitative research projects.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC217","European Consortium for Political Research (ECPR)","Introduction to Geographical Data Management and Analysis with ArcGIS","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9129&EventID=140","More than a tool to 'make maps', ArcGIS is a powerful, multi-purpose digital platform to store, modify and analyse digital spatial data.\n\nAlthough ArcGIS can be run with phyton, in this course we will use the in-built user interface.\n\nThrough guided exercises in the lab, by the end of the course you will be able to:\n\nknow the origins of ArcGIS, understand its structure and main tools\nimport georeferenced data into ArcGIS and use the property table\nwork with georeferenced data and use spatial analysis tools\ncreate and export maps. \n\nLong Course Outline\nDay 1 – Friday\nSatellite technology was developed in the 1960s through the joint effort of public and private actors. We begin the course by examining the origins and structure of ArcGIS, looking at why and how it emerged as a complex, innovative and technological system. Afterwards, we look more closely at spatial data (raster and vector) and what to bear in mind when importing them into ArcGIS (projections, geographical scale, layers). We also look at some publicly available data sources (e.g. Openstreetmap, EEA) from which we can download spatial data. When importing our data into ArcGIS, we will look at its organisation and the Arctools box. \n\nDay 2 – Saturday\nGet your hands dirty and really start using the software! By means of examples and exercises, we will learn how to modify the property table, use the selection tools and cartography options, how to do queries and use additional tools to manage our data in ArcGIS (e.g. union, merging, recalculation, buffers). We will also learn how to properly create a map and export it.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC218","European Consortium for Political Research (ECPR)","Vignette Methods in Qualitative Research","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9090&EventID=140","This course is for PhD students who want to address causal explanations or systematic comparisons in an interpretive or qualitative research project.\n\nIt is aimed at students of political science, sociology, international relations and public administration, but students of public policy and anthropology would also benefit. You will learn how to:\n\ndevelop one or more vignettes\nuse vignettes in data collection\nanalyse reactions to vignettes\ninterpret and draw valid conclusions from vignette analyses.\nAfter the course, you will understand:\n\nThe scientific criteria of vignette method and how to develop vignettes for interpretive or qualitative research questions,\nconceptualisation, theory, research design, strategies of framing vignettes, and how to select the vignette’s profile description attributes and wording, \nhow to organise and process vignettes through phases of data collection, analysis and conclusion drawing,\nhow to suit the vignette method to the research question,\nhow to draw conclusions from vignette analyses.\n\nLong Course Outline\nIn this course, you will learn how to develop vignettes while familiarising yourself with contemporary thinking about deliberative manipulation to integrate experimental logic into an interpretive or qualitative investigation. We will learn:\n\nthe scientific criteria behind vignette method\nvariance theory versus process theory as forms of causal explanation\nthe pros and cons of stimulation in an interpretive or qualitative research design.\nThe course has five objectives:\n\nto examine the scientific criteria of vignette method and teach you how to develop vignettes suitable for interpretive or qualitative research questions\nto expose you to issues of conceptualisation, theory, research design, strategies of framing vignettes, and selecting the attributes and wording of a vignette’s profile description\nto help you organise and process vignettes through data collection, analysis and conclusion drawing\nto teach you how to choose the best vignette method for a particular research question\nto enable you to draw conclusions from vignette analyses.\nI will cover basic techniques for collecting, interpreting, and presenting analyses of vignettes. We will operate on two interrelated dimensions, one focused on the theoretical approaches to various types of vignette method, the other on practical techniques to formulate, develop and validate the vignettes used in the interpretive or qualitative research design.\n\nTheoretically, the course considers questions such as:\n\nWhat is a vignette and what is vignette method?\nWhat questions is it best suited for?\nBy what criteria does it meet or fail to meet the standards of scientific evidence?\nWhat is the role of causality in interpretive or qualitative research?\nCan vignette methods be used to verify hypotheses, or only generate them?\nCan vignettes support the making and analysing of thematic connections?\nIn what ways is vignette research ‘grounded’?\nPractically, the course considers questions such as:\n\nWhat scientific criteria apply for vignette method?\nHow do researchers construct the ‘right’ vignette for the ‘right’ research question?\nWhat collection techniques can be used to enhance the quality of vignette analyses?\nWhat scientific positions ground the vignette analyses?\nWhat is the unit of analysis?\nHow do researchers organise the vignettes and how do they use them in practice?\nHow can researchers make sense of their interpretations of vignette analyses in a transparent, authentic and inclusive way?\nHow can researchers draw conclusions from their vignettes analyses?\nI will take a realist approach to causal explanation, focusing on two techniques in vignette method: profiling versus manipulation. I chose these as examples of methods which use vignette method to put rather different weight on causal explanation. This will strengthen your general knowledge of vignette methods, and give you a solid basis to choose the right strategy of vignette analysis in your own research.\n\nBy the end of the course, you will know how to choose between vignette methods, and have insight into hands-on vignette research tools. You will be able to follow advanced courses in interpretive or qualitative methods with a more specialised focus on, for example, ethnographic method, grounded theory, narrative method, discourse analysis or process tracing.\n\nAfter the course, you should have a basic understanding of:\n\nThe scientific criteria of vignette method and how to develop vignettes suitable for interpretive or qualitative research questions,\nissues of conceptualisation, theory, research design, and strategies of framing vignettes and selecting attributes and wording of the vignette’s profile description, \nhow to organise and process vignettes through the research phases of data collection, analysis and conclusion drawing,\nhow to choose the best strategy of vignette method for the research question and,\nhow to draw conclusions from vignette analyses.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC219","European Consortium for Political Research (ECPR)","Synthetic Control Methods for Policy Impact Evaluation","Bamberg, Nemecko",1,2,"2020-02-14","2020-02-15","420 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9130&EventID=140","Synthetic control methods appeared as a way of conducting causal inference for single case studies. They allow us to identify causal effects of an intervention or policy change in one unit (city, region, country, etc) on an outcome of interest over time. Given their multiple possible applications, these methods have become very popular in economics, political science, and public policy.\n\nThis course starts from the basics of the potential outcomes framework underlying the workings of synthetic controls, and works through the various ways to implement them.\n\nWe begin with single-case studies, cover inference with placebo tests in space and time, and move to more advanced implementations where there are multiple treated cases, as well as generalisations of synthetic controls.\n\nLong Course Outline\nSynthetic control methods are used for conducting causal inference with longitudinal data. Their popularity comes from the intuitive interpretation of their results, as well as their ability to estimate causal effects on a single treated unit.\n\nThese methods work by creating a synthetic unit (city/region/country/etc) that is as similar as possible to the one that has received some sort of intervention (the so-called 'treated' unit), or where a policy has been adopted, except for the intervention/policy itself. Any difference between the real unit and the synthetic one on the outcome of interest is deemed to have been caused by the policy or intervention.\n\nIn recent years, there has been an explosion of expansions to synthetic control methods, allowing not only single-case studies but also small, medium, and large-N analysis and inference.\n\nDay 1\nThe first session starts with the potential outcomes framework (or Rubin Causal Model), which underlies the synthetic controls framework. We discuss the foundations of how and when the estimates of synthetic controls can be causally identified, and introduce the notation used in the course.\n\nWe follow with a conceptual discussion on assumptions, applicability, estimation, and inference. We discuss how the weights are assigned, data requirements for estimation, and how to interpret results.\n\nWe end this first day with a practical session on implementing synthetic controls. Examples will be given in R, but Stata code will be provided for those who prefer it.\n\nDay 2\nWe start with robustness and sensitivity tests, namely placebo tests which are used for inference and testing assumptions. We cover placebo-in-time tests, as well as the construction of placebos for significance testing. We also look at sensitivity tests, such as the jackknife, to assess how robust the results are in relation to the untreated units in the sample.\n\nWe then move to applications of synthetic controls to multiple treated units, an emerging area in this topic. This session covers how to build synthetic controls for several units, how to assess the fit of controls, calculate an average treatment effect, and bootstrapping methods for testing the significance of results.\n\nAfter a lab practice, we go to recent advanced applications of synthetic controls, and look at generalised synthetic control models.","Friday 13:00–15:00 and 15:30–18:00; Saturday 09:00–12:30 and 14:00–17:30","nie","nie",1.8,"","","",""]
["EC220","European Consortium for Political Research (ECPR)","Measurement: Approaches Bridging Concepts and Data","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9131&EventID=140","Some people think of measurement as simply assigning numbers to cases. Sometimes it is. However, often measurement gets much more complicated.\n\nMany of the concepts we deal with in the social sciences are not immediately visible to us, and the phenomena that are do not, typically, correspond exactly to the concept we are after.\n\nOther concepts – most obviously attitudes, meaning, and beliefs – we have to measure using statements from people who do not know our concepts and are biased in numerous conscious and unconscious ways.\n\nThis course introduces case-based (qualitative), variance-based (quantitative), and interpretivist approaches to think about and handle these issues. Themes include the logic of latent variable modelling, the psychology of responding to questions, and mediating between everyday language and scholarly terminology. All, as the course makes clear, are handled somewhat differently, sometimes fundamentally differently, across approaches.\n\nLong Course Outline\nIf broadly conceived as a link between concepts and data, measurement is indispensable for all empirical social science. Sometimes, measurement is easy but most of the time it is not.\n\nA study of local public health may count the number of health centers or the number of staff working in such centers in a city. But what is this a measure of? Is it a good measure?\n\nA study of employee engagement among firefighters may roll out a standard nine-item engagement battery in a survey. But why so many items? Why those nine? And to what extent can we believe what the firefighters reply?\n\nA study of constructive deviance among nurses may approach how they construct meaning of their interaction with clients and how they work around or counteract rules. But how do we elucidate such meaning from their everyday language? After all, few nurses will ever use the term constructive deviance. \n\nThis course introduces measurement issues from variance-based, case-based, and interpretivist perspectives as well as common measurement problems for social science research.\n\nThe social sciences tend to deal with concepts – like public health capacity, employee engagement, and constructive deviance – that are not immediately visible. Moreover, the sources of information we have to measure these concepts are rarely direct and are often statements or stories from people, who may not be responding to what they are asked, may hide what they believe from researchers or themselves, and who do not speak the language of the social science academy.\n\nWe will examine in detail topics surrounding the often problematic business of social science measurement, including:\n\n1.    Can everything that matters be measured?\n2.    Content validity\n3.    Measurement validity\n4.    Social desirability bias\n5.    Context effects on responses in surveys and interviews\n6.    Latent variable modeling (confirmatory factor analysis and structural equation modeling)\n7.    Measurement issues in process tracing and case studies\n8.    Judgement and theory in historical measurement\n9.    Interpretative mediation between everyday language and scientific concepts\n10.    The transferability of qualitative and quantitative measurement standards to interpretative research.\n\nThe course is structured around three approaches: Variance-based, case-based, and interpretative.\n\nDay 1\nWe introduce the main differences between the three approaches in terms of concepts and measurement. We talk about the extent to which each approach leans on – or can lean on – the others, and the extent to which they conflict with each other either fundamentally or in common practice. \n\nDay 2\nWe tackle human beings as sources of information. We talk about a large literature, mainly from survey methodology, about sources of bias when asking questions of people. These biases include social desirability bias, where people report distorted views of their attitudes or behaviours either strategically or to present themselves better to interviewers or themselves, and context effects, where prior questions influence answers to subsequent ones. We discuss the applicability of these and other biases to research, relying on a variety of tools including interviews and participant observation. \n\nDay 3\nWe dive deep into variance-based approaches to measurement. In particular, we examine in depth the latent variables perspective on measurement developed in psychology. In this approach, the notion that we cannot directly observe many of our concepts is tackled head on and modelled statistically using confirmatory factor analysis (CFA) and structural equation modelling (SEM). While the session itself will not teach you how to apply these tools, an additional, voluntary workshop during the week will provide an introduction to CFA and SEM in the lavaan package for the R statistical environment.\n\nDay 4\nWe dive equally deep into case-based approaches to measurement. In particular, we look at measurement in case study research, whether this research is based on historical sources or interviews. We talk about common measurement pitfalls in process tracing research, and apply process tracing tests to attempt to get around them. Moreover, we talk about the roles that theory, histography, and expert judgement plays in historical case study measurement. \n\nDay 5\nWe dive into interpretative approaches to measurement. We look at the extent to which the advice from Days 3 and 4 apply to this approach and talk about what standards do apply if the interpretative approach is different. We talk about taking meaning building seriously and what this means to concepts and measures of those concepts. Finally, we debate the feasibility and problems of quantification in interpretative work.\n\nWe strongly encourage you to bring your own research questions, concepts, hypotheses, and proposed measures – even if you are only in the early stages of research – to the course on Day 1.\n\nThis course will help you measure core concepts in your research. There will be plenty of opportunity to reflect on measurement issues in your own research, and develop ways to overcome them. ","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC221","European Consortium for Political Research (ECPR)","Comparative Research Designs","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9052&EventID=140","This course teaches how to conceive and conduct the most appropriate comparative research design, broadly defined as any research enterprise that comprises at least two ‘cases’ or units of analysis. It answers fundamental questions including:\nWhat is comparison?\nWhy compare; what is the value of comparison?\nWhat should be the mindset of a good comparative researcher?\nWhat is the link between a research puzzle and the choice for a comparative research design – and what would the alternative(s) be?\nAt which level(s) should ‘cases’ be envisaged?\nWe will examine the practicalities of different types of comparative research, following these hands-on steps:\n- prior arbitrations and ‘casing’, i.e. the definition of cases;\n- case selection, through basic or advanced strategies;\n- collecting and managing comparative data;\n- comparative data analysis (qualitative, QCA and quantitative options).","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 2 kredity.","nie","áno",1.8,"","","",""]
["EC222","European Consortium for Political Research (ECPR)","Introduction to Process Tracing","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9066&EventID=140","This course will introduce you to the essentials of process tracing PT within method that focuses on tracing casual mechanisms – the 'link' between a trigger (X) and an outcome (Y). , its main underlying assumptions, and its applicability. We will discuss what causal mechanisms are, how we can 'trace' them, and what kind of causal inferences we can draw on the bases of a process-tracing study.\n\nTo position PT in the broader methodological field, we will look at how it relates to, but differs from, other (larger- and small-N) case study methods, and discuss what understanding of causality underlies PT.\nThis is a hands-on course, applying new insights to concrete examples and, when possible, to participants' own research projects.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC223","European Consortium for Political Research (ECPR)","Introduction to Qualitative Comparative Analysis (QCA)","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9104&EventID=140","This course introduces crisp set and fuzzy set Qualitative Comparative Analysis (QCA) and its analysis in R using the interactive graphical interface of the package QCA. It will give participants a basic understanding of the analytic underpinnings and steps of QCA, and enable you to independently perform a basic crisp or fuzzy set QCA (Standard Analysis).\nCourse will look at the origins, analytic aims, and variants of QCA and deal in depth with techniques and practices of set calibration. The nuts and bolts the QCA technique, from parameters of fit to all steps of the analyses of necessity and sufficiency, are illustrated based on an empirical example study which we replicate in class. It covers the presentation and interpretation of QCA results, as well as ways to deal with limited diversity and other potential pitfalls. Hands-on exercises and daily lab sessions provide opportunities for practice and engagement.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC224","European Consortium for Political Research (ECPR)","Linear Regression with R: Estimation, Interpretation and Presentation","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9059&EventID=140","Even though the buzzwords of our times are 'big data' and 'computer/data science', the foundation of statistical analyses in the social sciences is still classical linear regression. The robustness and versatility of this basic analytical technique is applicable to various research problems, and knowledge and experience gained in OLS regression is transferrable to other methods. If learning statistics should start from somewhere, it should be linear regression. \n\nThis course will teach you how to apply, evaluate and interpret the results of linear regression models in R.\n\nWe start off very briefly with the prerequisites – a revision of the essential knowledge needed prior to running a regression – and move on from basic specifications of the model to more complex problems and interpretations.\n\nWe will go through regression assumptions and problems with assumption violations, look at how to use dummy variables and interactions in regression models and how the framework of linear regression can also accommodate non-linear associations.\n\nLong Course Outline\nIf you want to move on to complex analyses and statistical models, you need to get the simple things right first. This course will familiarise you with the basic statistical concepts that will enable you to fully and correctly use the framework of linear regression. \n\nBy the end of the course you will have the theoretical and practical skills to responsibly run multivariate linear regressions on a variety of data configurations. This includes estimating multiple model specifications in R, presenting results in tables or in a graphical format and interpreting the coefficients for the reader. It also implies assessing the appropriateness of OLS regression for certain kinds of data and learning to make suitable corrections and adjustments when there is a mismatch between model requirements and data characteristics.\n\nThe basic introductory course in statistics usually gets to regression at the very end (if it goes further than that, then the speed of the course was probably too high). This course is for those who have got to that point but have not moved on much further. We will not focus too much on theory, but put the emphasis on correct application and interpretation. You don't need to know the mathematics that happens behind the scenes to understand what a regression model does and what it is capable of doing. \n\nThe course is also suitable for those who have briefly encountered OLS regression as part of a statistics class, but now wish to better understand how it works, where it breaks down, and how it can be applied in a thorough way. Due to the need to constantly focus on the application of linear models, the course is unsuitable for those who want an introductory course in general statistics. During one of the sessions we briefly cover some basic statistical concepts and tests, but this is only so that we can all delve into the topic of linear models from an equal footing. This cannot be considered a substitute for a good coverage of introductory statistics.\n\nDay 1\nWe start with a condensed review of some fundamental concepts in basic statistics: the z and t distributions, hypothesis testing, confidence intervals and correlation. This overview is intended to provide a solid foundation from which to advance in the following days. We begin to discuss a few basics of regression, such as how it goes beyond correlation, and for what type of questions it is helpful. In the lab session, we will go through a few of the basic data manipulation procedures commonly required before running any regression: data cleaning and recoding, transformations of data, etc. This is a good opportunity for you to get familiar, if need be, with working with syntax files in R and with the RStudio interface.\n\nDay 2\nWe delve fully into the fundamentals of Ordinary Least Squares (OLS) regression: how the estimation is carried out, and how we interpret the coefficients for simple (one predictor) and multiple regression (two or more predictors). I will present some basic formulas, but the goal will be to gain an intuitive understanding of how the estimation process functions, and what the results mean. In the lab session we put this newly-gained knowledge to the test, by running a few examples of linear models in R. We will interpret the output and the model fit.\n\nDay 3\nWe advance in our understanding of OLS by focusing on model specifications that almost always appear in empirical research, like models with dummy variables and with interactions between variables. We discuss the interpretation of such models and how you ought to communicate it to your audience. In the lab component we learn how to run these model specifications with R.\n\nDay 4\nThis day is devoted to preventing abuse in the estimation of linear models. As with the vast majority of statistical procedures, a series of assumptions underpins OLS regression. If these are not met, our results may deceive us. In this session we go over these assumptions, how they influence the results when they are not met, and what strategies we have to overcome this situation. In the lab we turn to these issues from a practical perspective. We run a test regression in R, assess whether the assumptions are met, and correct for assumption violations that exist (if possible). Through a step-by-step process, you will see how your estimates and model fit change when engaging in such a process.\n\nDay 5\nOn the last day we look into the various ways regression results can be presented. A properly formatted and thought through regression table is a must, but sometimes that is not enough. In fact, I would say that almost always it is not enough for an effective presentation of your models and your conclusions. For that it is necessary to visualise your results. This is especially true for interactions and non-linear effects. While tables of coefficients are still the dominant way of presenting results in academic journals, graphs and predicted values tend to be preferred in reports and analyses for larger, non-technical audiences. I believe strongly that you should be familiar with both types and should tailor the delivery of your results to the audience.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC225","European Consortium for Political Research (ECPR)","Introduction to Statistics for Political and Social Scientists Workshop","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","1 495 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9056&EventID=140","This course introduces basic ideas of descriptive and inferential statistics. The course cover the basics: variables, randomisation, centrality and variability, probability distributions, point and interval estimates, hypothesis testing, correlation, simple and multiple linear regression models, model assumptions and violations, and how regression models can be improved.\nThe course and the lab session will be taught in R. ","09:00–12:30 and 14:00–16:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC226","European Consortium for Political Research (ECPR)","Tools for the Analysis of Complex Social Systems: An Introduction","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9074&EventID=140","Many researchers will agree that the world is a complex one that is hard to grasp – and even harder to map and analyse in social science research\n\nHow that complexity can be unboxed is something we will address in this course.\n\nThe course will introduce academic researchers and professionals in the realm of (policy) evaluation to the main tools for the analysis of complex social systems. We will cover various aspects of social complexity, including structural features, individual behavior and the role of relationships.\n\nLong Course Outline\nWhy do certain political and policy processes stall while others that look similar move ahead without trouble?\n\nWhy is it that certain political systems survive but others don’t?\n\nWhy is it still so hard to predict how policy measures will pan out in the real world?\n\nThe keyphrase is causal complexity. Causal complexity means that chance and randomness plays an important role in what we observe, that similar cases may follow dissimilar routes – and the other way around, of course – that the whole is more than the sum of the parts, and that social processes develop in a non-linear fashion.\n\nMapping and analysing social complexity is hard. This doesn’t mean that we should give up and go home. On the contrary, there is a whole range of tools and approaches that can be used to unbox this causal complexity.\n\nThis course focuses on those tools. We will discuss the nature of causal complexity and will work with various powerful instruments to map, analyse and interpret causal complexity.\n\nThe course is open to academic researchers and professionals in the realm of (policy) evaluation and research.\n\nDay 1\nWe focus on the nature of complex causality. We discuss where that complexity can be found and how it should be understood. To this end, we will look into issues of epistemology and ontology. We will also discuss what it means to do case-based research. While this is not a theoretical course, it is still important to get on the same page when doing actual research. \n\nDay 2\nWe focus on macro structures of social systems. We will learn to trace and map such structures with a technique called systems dynamics modelling. This approach will teach you how to draw causal loop diagrams and, if necessary, to explore and simulate various possible outcomes of the political and policy processes you are studying. System dynamics modelling shows how causes can turn into consequences, or the other way around, and how certain processes can be self-defeating or surprisingly effective. \n\nDay 3\nWe change focus from the macro- to the micro-level. We look into human behaviour, and how it can be analysed and understood as a matter of interactions between humans, using a tool called agent-based modeling. This offers a convenient way of exploring interactions and their (emergent) outcomes. It is also helpful in understanding the unpredictability of social complexity. \n\nDay 4\nWe focus on social networks. As we are increasingly aware of the many connections between people, we need to get acquainted with the tools of network analysis, in particular dynamic network analysis. We learn how to structure, differentiate and map relationships, and how to interpret the evolution of networks over time. \n\nDay 5\nWe connect all the dots from the previous parts, combining the insights gained to build a case-based understanding of social complexity. With the aid of two tools, Complex-it and un-code, we will explore the ways in which we can arrive at research that does justice to social complexity.\n\nAs you may gather from the description, the course takes a mixed-methods approach. As such, it we welcome researchers and evaluators from different strands, qualitative and quantitative. The only thing we ask from you is that you think about your research as being contextual, i.e. case-based.","14:00 – 17:30 each day","nie","nie",1.8,"","","",""]
["EC227","European Consortium for Political Research (ECPR)","Introduction to Qualitative Interpretive Methods","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9054&EventID=140","This course is for PhD students who have just started an interpretive or qualitative research project. It is aimed primarily at students of political science, sociology, international relations and public administration, but students of other social science disciplines such as public policy and anthropology will also benefit from it.\n\nThe course is organised around the typical steps of a research process – from how to formulate an interpretive research question to how to present and document analyses. It introduces a broad spectrum of interpretive approaches with a focus in particular on narrative methods and discourse analysis. These two approaches provide a good representation of different interpretive strategies, and by understanding their logics and uses, you will be able to select a research strategy that best fits your own research question.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC229","European Consortium for Political Research (ECPR)","Qualitative Interviewing Workshop","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","1 495 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9061&EventID=140","This hands-on course will give students methodological tools, and a space for critical reflection, to refine qualitative interviewing techniques in your own research.\nLectures and discussions are about key methodological issues. This will broaden students´s methodological horizons and improve their understanding of how data collection through interviewing fits into the overall research design, whether qualitative or mixed methods. They will learn how interview data collection relates to epistemological and theoretical as well as practical and ethical questions.\n\nLong Course Outline\nFor various historical reasons, the social sciences — especially in the English-speaking world — have been dominated by neopositivism for decades. Indeed, neopositivism, with its commitment to the elucidation of nomothetic generalisations through a procedure of hypothesis-testing across multiple cases, is all too often mistaken for 'the scientific method,' crowding out other approaches to knowledge-production. The epistemic interests of neopositivist research are then mistaken for the goals of science per se, despite the fact that neopositivism doesn’t capture the actual practice of physical sciences like physics terribly well.\n\nThe result of this methodological monoculture is that although we frequently have criticisms of neopositivism, we much less frequently have systematic explications of how to do empirical research that doesn’t conform more or less to neopositivist strictures. Even rarer is non-neopositivist methodological exploration that tries to retain key notions like causation and generality, but doesn’t treat those notions in the conventional neopositivist manner.\n\nThis course will give you a grounding in precisely such an alternative: a non-neopositivist approach to social-scientific inquiry that emphasises causal explanation and has a significant place for generality.\n\nBuilding on the work of Max Weber and the tradition of American pragmatism, the analytical pragmatist approach seeks to articulate and refine conceptual tools that can be used to produce case-specific explanations of otherwise-puzzling outcomes.\n\nWe will begin with the philosophical foundations of an analytical pragmatist approach, and proceed to consider some examples of work that incorporates this sensibility, and how that sensibility might inform your own work.","09:00–12:30 and 14:00–16:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 4 kredity.","nie","áno",1.8,"","","",""]
["EC230","European Consortium for Political Research (ECPR)","Focus Groups – From Qualitative Data Generation to Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9062&EventID=140","Focus groups have become quite fashionable in social science over the last decade, notably because of the richness of discourse and interactions to which they give access. But they are generally more demanding than expected.\n\nUsing focus groups not only requires more resources than other qualitative methods; it also involves a series of decisions concerning the different technical aspects involved, from design and organisation to analysis. These many decisions require one to be very clear about one’s research objectives.\n\nThis course will introduce you to a variety of uses for focus groups, in terms of epistemology and research topics. We will discuss in detail the complete process of organising a focus group – including typical problems like sampling, designing questions and moderation, but also practical considerations like setting the room, recording, contacting, selecting and rewarding participants.\n\nLong Course Outline\nGroup interview, collective interview, group discussion, multiple interviews, focus group… all these kinds of interviews tend nowadays to be called focus groups. The idea that interviewing several people at the same time might be more advantageous than interviewing them separately was discovered a long time ago, and Merton’s ‘focused interview’ was only one of several suggestions about the reasons and the ways to do so.\n\nMerton’s model became successful in the field of applied research and consulting, where its technical aspects were refined during the ‘70s and ‘80s. In the 1990s, social science rediscovered the method now generally called ‘focus group’, but the variety of uses and techniques, apparent in the diverse original denominations, persists.\n\nTo define more precisely what is meant by this term, one can begin with the three-point definition provided by David L. Morgan, who was essential in developing this method for use in social sciences. He defines a focus group as ‘as a research technique that collects data through group interaction on a topic determined by the researcher’ (Morgan 1997: 130).\n\nThree elements stand out in this relatively inclusive definition:\n\nFirstly, the focus group is a research method designed to collect data. It is thus intended to advance research; in other words, collecting discursive data destined for analysis, provoked and collected by a researcher on themes that she or he has chosen.\nSecondly, in the focus group the source of data lies in the interaction within the discussion group; the social relations that characterise them are not reduced to the relationship between the interviewer and interviewee but require the interactions of a collective discussion to be taken into account.\nThirdly and finally, the focus group supposes the active intervention of the researcher in the creation of the group discussion in order to collect data.\nThis definition enables us to exclude configurations similar to focus groups such as, for example, collective interviews used outside a research context for marketing or training purposes. It also enables us to distinguish this method from other procedures that include multiple participants but which do not allow the emergence of interactive discussions, such as group experiments aimed at recording actions rather than discourse. Morgan’s definition also excludes direct observation of naturally occurring discussions, which cannot be described as interviews to the extent that the researcher does not intervene in the creation of data. Collective interviews therefore cannot be assimilated into ordinary conversation, such as might occur in everyday life. Finally, the focus group thus differs from citizen conferences initiated by political actors as a way of including citizens in the political decision-making process.\n\nThe chief characteristic of a focus group is the richness of its data: discourse must be considered as action and cannot be reduced to the expression of pre-existing opinions. But this richness is costly compared with what can be achieved with standard research methods. Collecting the data requires complex and expensive organisation, which is difficult for young researchers working on their own project. More importantly, analysing focus group data is far more difficult than data from face-to-face interviews, at least for research purposes, and takes a lot of time. This tends to be forgotten in the current fashion for focus groups.\n\nThus it is important for doctoral students and young researchers to get a clear idea of the consequences of focus group methodology before embarking on one – and this is the first purpose of this course. However, part of the fascination with focus groups comes from the fact that the method embodies most of the challenges and specificities of qualitative research. In reviewing all the difficulties of focus group research, the course will encounter most questions faced by qualitative researchers, both epistemologically and technically.\n\nDay 1\nI present the history of focus group research and its developments, to identify the domains and research questions in which it is most useful.\n\nDays 2 and 3\nI explain how to design a focus group, including sampling, questioning and moderating, as well as practical organisational considerations. Students will organise a real focus group.\n\nDay 4\nFocus group discussions are more complex to analyse than standard face-to-face interviews, so this day will place strong emphasis on analysis, from principles to techniques and tools. I will suggest a mix of interpretation, systematic comparison, codification and automatic textual analysis.\n\nDay 5\nWe turn our attention to participants’ own research projects.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC231","European Consortium for Political Research (ECPR)","Online Qualitative Methods and Virtual Ethnography","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9087&EventID=140","Digital technologies have become essential for empirical research across many disciplines. This course deals with concrete ways of using digital technology for qualitative data collection. It is aimed at scholars who seek to apply qualitative online data collection methods in their studies. \n\nOnline research methods are essentially facilitators of ‘traditional’ methods, modified for use in online contexts, such as email, chat rooms, web pages, various forms of instant messaging, and other internet applications.\n\nThe course starts by introducing basic characteristics of qualitative online research methods and their temporal structure. It provides an overview of advantages and disadvantages of online research methods in general.\n\nWe continue by examining different forms of online qualitative data collection, in particular online focus groups, online interviews and virtual ethnography, addressing methodological as well as practical considerations.\n\nFinally, we look at how to combine various online data collection methods, and tackle some ethical research issues.\n\nLong Course Outline\nThis course focuses on the use of digital technologies for qualitative data collection, from a conceptual and applied perspective.\n\nIts goal is to acquaint you with the basics of online qualitative research methods, and to cover methodological and practical aspects of online focus groups, online in-depth interviews and virtual ethnography (online fieldwork).\n\nWe will examine in detail:\n\nPros and cons of online research in general and qualitative research in particular;\nTemporal dimensions of online qualitative research (synchronous, asynchronous);\nQualitative methods (online focus groups, online interviews, online fieldwork – virtual ethnography)\nSampling strategies in online qualitative studies;\nPrinciples of qualitative data collection with digital technologies;\nTechnological, ethical and methodological issues of online data collection methods.\nAfter the course, you will be able to:\n\nUnderstand concepts and assumptions of social science methodology using digital technologies;\nUse digital technologies to collect qualitative data;\nCollect, analyse and integrate (merge) data collected by digital technologies, using various online qualitative methods;\nSolve technological, ethical social science research problems using digital technologies.\nThe course consists of lectures, hands-on exercises and daily assignments.\n\nTo facilitate discussion, I expect you to read selected texts about methodological issues, critically analyse online methods studies focusing on online research methods, and complete practical data collection exercises for each method covered (online interviews and virtual ethnography).\n\nAs a take-home assignment, I will ask you to compose a methodological plan for an online qualitative study. This could be your actual research project or an imaginary project envisaged only for educative purposes.  ","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC232","European Consortium for Political Research (ECPR)","Survey Design","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9063&EventID=140","This course provides in-depth guidelines to survey research design, embedding and discussing the so-called Total Survey Error (TSE) framework.\nThe course will discuss the assumption of the TSE and critically evaluate the full survey life cycle against this paradigm, participants will discuss the core of idea of survey sampling and trade-offs between probability and non-probability samples; mode selection and trade-offs; question and questionnaire design, fieldwork implementation; effects of response and non-response; as well as new challenges to survey design and extensions to the TSE.\nThe content will be applicable to surveys of individuals, households, and organisations.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC233","European Consortium for Political Research (ECPR)","Python Programming for Social Sciences: Collecting, Analysing and Presenting Social Media Data","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9091&EventID=140","This course provides a basis in Python programming and its application in particular to online social media data.\n\nPython is one of the most popular and versatile script languages, and has a large user community. It has become increasingly popular among social scientists because of its attractive features: ease to learn, flexibility in handling a massive dataset, and fast calculation.\n\nA large set of libraries helps users solve complex problems – making Python particularly attractive for those who need to handle massive amounts of diversely structured data collected online.\n\nLong Course Outline\nNowadays, very large and diverse kinds of data are becoming available to researchers. Online social media data in particular has great potential to provide a new approach to social science questions.\n\nHowever, these kinds of data have diverse data structures, which often differ from traditional social science data. Some are provided by a structured way through application program interfaces (API): e.g. Twitter and Facebook; others could be semi-structured data such as web pages. Moreover, those data could be in different formats and the available data size much larger than before.\n\nAlthough widely used software packages such as R, STATA, and Matlab are practical for statistical analysis, they are of only limited use for gathering, transforming, managing, and analysing new, massive and diversely structured types of data.\n\nAs an alternative to these packages, many scholars have begun to use Python, a popular, versatile script language with a large user community. Python has become popular because it is open source, easy to learn (even for beginners), and allows researchers to handle massive datasets quickly.\n\nA large, rapidly expanding set of libraries helps users solve complex problems with ease. These include Tensorflow and Keras: newly developed libraries for deep learning.\n\nFamiliarity with Python language opens up new possibilities for conducting your research in a more efficient way.\n\nThe course covers:\n\nfundamental principles of programming and their implementation in Python language\ncollecting social media data\nhandling large amounts of data in diverse formats\nusing Python libraries for data analysis.\nThe course will include concrete examples of how to collect, manage and analyse social media data, especially Twitter.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC234","European Consortium for Political Research (ECPR)","Introduction to Quantitative Text Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9064&EventID=140","This course introduces you to the family of quantitative text analysis methods in the ‘content analysis’ tradition, using a variety of examples from political science and related disciplines.\n\nWe will cover basic aspects of content analysis, starting with manual content analysis and continuing with an introduction to some of the most popular approaches to computer-assisted text analysis.\n\nYou will learn practical aspects of text analysis, such as creating coding schemes, selecting documents, assessing inter-coder reliability, scaling, and validating the text analysis output.\n\nThe course comprises a mix of lectures and seminars, and will involve hands-on exercises, the majority of which will be completed by following, step-by-step, code provided in the R statistical software, so prior knowledge of R is not necessary.\n\nLong Course Outline\nMost social science concepts are not directly observable, so text analysis can provide a useful method for measuring quantities of interest that would otherwise be difficult to estimate. By analysing the speeches of legislators, for example, we can classify them as charismatic, populist, authoritarian, liberal, and so on. Similarly, by analysing the content of newspaper editorials, we can infer whether the media in question were biased in favour of a particular candidate during an election campaign.\n\nText analysis is a specific type of content analysis, typically defined as a method whose goal is to summarise a body of information in the form of text, in order to make inferences about the actor behind this body of information. This implies that text analysis can be seen as a data reduction method since its goal is to reduce the text material to more manageable bits of information.\n\nText analysis can be also seen as a method for descriptive inference. Weber (1990, p. 9) for instance, defines content analysis as ‘a method that uses a set of procedures to make valid inferences from text’. The idea is that, by analysing the textual output of an actor, we can infer something about this actor. This conceptualisation of content and text analysis implies that we can use it as a tool for measurement in the social sciences. In this view of content analysis we are concerned with replicability and objectivity, (Neuendorf 2002, pp. 10-15), and therefore we should distinguish text analysis from other approaches/methods such as discourse analysis, rhetorical analysis, constructivism, ethnography and so on.\n\nThis course will familiarise you with manual and computer-assisted text analysis. Following Krippenforff (2004) and Neuendorf (2002), it will introduce you to the basic concepts and building blocks in content analysis designs. We will address and discuss the following questions:\n\nCoding scheme What are the theoretical underpinnings of the coding scheme? How are the categories selected and operationalised? What are the coding units? How is coding performed? Is our coding scheme valid?\nSelection of documents What guides the selection of texts? Are texts sufficiently comparable? Are our documents valid and reliable indicators of the quantities of interest? How can we acquire and process text for computer-assisted text analysis?\nAggregation Are texts coded by different coders? If so, how are their results aggregated? If not, how can we ensure inter-coder reliability? What statistical measures can be used to estimate inter-coder reliability?\nScaling Are we estimating the quantities of interest directly? If not, how do we scale data in order to estimate the quantities of interest? Is our scaling valid and reliable?\nFor manual text analysis, the course will also look at the often-overlooked distinction between the analysis of manifest content and judgemental coding. For computer-assisted text analysis, it will introduce you to a variety of popular methods, such as the use of content analysis dictionaries (including sentiment analysis), scaling methods (wordscores, wordfish), and supervised and unsupervised learning approaches (including topic models). We will discuss the relationship between reliability and validity, illustrate methods for estimating inter-coder reliability, and explore the links between manual and computer-assisted text analysis in terms of validation and training of supervised classification methods.\n\nThe course will be taught via a mix of lectures, seminars and hands-on exercises. The examples used to illustrate the promises as well as the pitfalls of content analysis will be concerned with various applications across the social sciences (e.g. sentiment analysis of the press, frames analysis of social movements, estimating the positions of political actors, agenda-setting in the EU), while the majority of the exercises will involve following, step-by-step, code provided in the R statistical software, so previous knowledge of R is not necessary. In most of the seminars we will use R Studio.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC235","European Consortium for Political Research (ECPR)","Introduction to Applied Social Network Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9135&EventID=140","This course provides a hands-on overview of applied social network analysis techniques and their theoretical underpinnings in political and social sciences.\n\nBy the end of it, you will be able to independently conduct basic exploratory analyses using different types of relational data and make informed choices about further steps for inferential network analysis and confirmatory analyses in different contexts: politics, economics, sociology, psychology.\n\nWe begin with the practical challenges and solutions in working with network data, and then introduce you to network structures, actors’ positions within networks, and the implications of these for different behaviours. Towards the end of the week, we will cover the basics of hypothesis testing and network dynamics.\n\nThe course combines workshop-style activities, using participants’ own data and example datasets in any of two preferred software environments (point-and-click or coding), and making use of data visualisations, including discussions of network, political, and social theory in conducting social network research.\n\nLong Course Outline\nNetwork analysis has a long tradition in the social sciences and has made considerable contributions to our understanding of the world around us. With the rapid growth and development of network science, and with the increasing availability of data, students can now formalise and explore many more networked phenomena – from international relations to policy and political relations.\n\nSocial network analysis offers quantitative assessments of relational eco-systems from multiple perspectives, allowing users to leverage and corroborate information from different levels of analysis – whole network, communities, and local action; organisational/event level, and individual level; direct and/or indirect connections; different types of connections, etc.\n\nThe course’s main goal is to equip you with practical network analytical skills and help you make theory-informed choices in exploring and validating networks of different sizes and types. To this end, we will cover five practical areas of research: working with network data, learning from the topological properties of networks, exploring actors’ network positions, testing hypotheses and understanding network dynamics. Each day, you will be able to work with your own data or example data will be provided for you. We’ll address the debate of theory- versus data-driven hypothesis formulations, the treachery of an interdisciplinary vocabulary, and the potential of practical applications of network analysis to sociopolitical problems.\n\nPractical and theoretical exercises will help you formulate appropriate research questions, choose or collect the best available data, and make informed choices about how to analyse them and interpret the results.\n\nDay 1: Working with Network Data\n\nNetwork data is quite peculiar as compared to typical data for statistical analyses. Their format, storage, and meaning are not always straightforward. Getting the data in the right form for analysis is the most important and often the most time-consuming part of the research. We’ll briefly cover data collection methods, typical database formats, and try some transformation and visualisation techniques used in exploratory analyses. We finish with a discussion on diversity of operationalisations and interpretations, using examples from your own work.\n\nDay 2: Understanding Network Structures\n\nThe structure of a network can tell you a lot about the underlying relational processes and mechanisms at work. At the macro-level, we explore the different network structures displayed in our diverse empirical data. We discuss what the main network properties tell us about our subject of analysis and do our first network-level analyses: degree distributions, centralisation, clustering patterns, communities. You’ll be introduced to the theoretical and technical complexities that span from the results – understanding mechanisms at work in various types of networks. We finish with a discussion on choosing productive avenues for further research based on network statistics at the whole-network level.\n\nDay 3: Understanding Actors’ Positions in Networks\n\nThe positions different actors display in the network entail constraints and opportunities for their behaviour. We will discuss centrality measures and different theories of relationship formation applied to your research, and explore models for hypothesis testing at the individual level. The central discussion for this day will be the idea of causality in social networks, trying to understand causal pathways to network positions of actors. We finish with a discussion on choosing appropriate avenues for further research based on network statistics at the individual level.\n\nDay 4: Testing Network Hypotheses \n\nAfter learning the basics of descriptive statistics in networks, we cover the main techniques for testing network hypotheses at different levels of analysis (macro-level and individual-level): traditional statistical tests, regression models for networks. We endwith a discussion on the science and art of choosing the right regression models for networks, assumptions, implications and interpretations of results.\n\nDay 5: Exploring Network Dynamics\n\nWe often have the opportunity to collect and work with temporal data about networks. In this session, we bring them all together: how network structures, positions, mechanisms and processes behave over time. We wrap the course up with opportunities, challenges, and limitations of conducting disciplinary, interdisciplinary and trans-disciplinary research using the toolkit of social network analysis.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC236","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9082&EventID=140","On this course, participants will gain an advanced understanding and applied skills in qualitative content analysis (QCA), thematic analysis (TA), cross-case analysis (CCA) and grounded theory (GT) using NVivo.\nThe course addresses the gap in the literature and in scholarship training on how to conduct the above methods from the stage of data coding to presenting findings in a CAQDAS environment.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC237","European Consortium for Political Research (ECPR)","Advanced Process-tracing Workshop","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","1 495 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9069&EventID=140","This hands-on course gives the methodological tools to refine use of process-tracing methods in own substantive research. It will also enable to embed process-tracing case studies in mixed-methods research design. \nStudents will discuss aspects of participants' projects, including theories of causal mechanisms and how we can develop testable predictions about evidence that the activities associated with parts of mechanisms might leave in a given case.","09:00–12:30 and 14:00–16:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 4 kredity.","nie","áno",1.8,"","","",""]
["EC238","European Consortium for Political Research (ECPR)","Advanced Topics in Set-Theoretic Methods and QCA","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9109&EventID=140","This course addresses advanced issues that arise if and when scholars embrace notions of sets and their relations. While it is a course about set-theoretic methods writ large, most of the time, we will discuss issues specific to QCA.\nIn this course, we discuss the issues raised by theses critiques, and go beyond them to explore the hitherto under-used potentials of set-theoretic methods.\nMore emphasis is put on topics:\nset-theoretic multi-method research\nrobustness and sensitivity\nset-theoretic theory evaluation\nenhanced Standard Analysis\ndata structures and set-theoretic methods, including temporal ordering and two-step QCA\nmodel ambiguity\nmulti-value QCA.\n\n","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC239","European Consortium for Political Research (ECPR)","Advanced Multi-Method Research","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9101&EventID=140","This course deals with mixed-methods / multimethod research (MMR) in the social sciences. To accommodate participants’ projects, it aims to reflect the diversity of MMR studies in the discipline.\nPArticipants will discuss the broader understanding of combining qualitative and quantitative methods and the more focused approach, linking case studies and process tracing to a large-n method such as Qualitative Comparative Analysis (QCA) or regression analysis. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.\nThe goal of the course is to understand the different varieties in which MMR can be done. \nTopics include concepts in the qualitative and quantitative analysis, case selection for qualitative research, and the compatibility of theoretical expectations and inferences on causal effects and causal mechanisms. Method-centred discussions are illustrated with examples from different fields of political science.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC240","European Consortium for Political Research (ECPR)","Logistic Regression and General Linear Models","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9077&EventID=140","This course is an introduction to General Linear Models (GLMs). Participants will learn how to run a regression model when the dependent variable is not a continuous numerical one.\nThis course will cover a broad family of GLMs, including binary, multinomial, ordered, and conditional logistic regression models, as well as models designed for count data (Poisson regression and negative binomial models).\nStudents will learn practical skills related to running GLMs, including proper interpretation of the regression outcome and presentation of model results in the form of graphs and tables. ","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC241","European Consortium for Political Research (ECPR)","Conditional Logit Models","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9133&EventID=140",null,"09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC242","European Consortium for Political Research (ECPR)","Introduction to Bayesian Inference","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9079&EventID=140","On this course, participants will learn a conceptual background to Bayesian inference, how to read the literature using Bayesian statistics, and how to interpret the results,an introduction to a software for Bayesian analysis, with political science examples.\nThe course consists of lectures (morning) and lab sessions (afternoon). The lectures deal with relevant background knowledge and specific skills for Bayesian analysis. Hence, participants will also learn basic JAGS and Stan, which are necessary for Bayesian estimation. \nThe course is focused on topics:\nestimation of linear regression models using conjugacy and Markov Chain Monte Carlo (MCMC);\nestimation of various regression models (binary logit/probit, poisson, robust regression, etc) and further topics (model selection and check, data augmentation, etc) in Bayesian framework.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC243","European Consortium for Political Research (ECPR)","Panel Data Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9080&EventID=140","This course presents different methods for analysing panel data, including:\nfixed-effects\nrandom effects\ndifference-in-differences\nage-period-cohort models\ngrowth curve models\nhybrid models.\nThis is an applied course; no mathematics is involved but the intuition behind the models will be emphasised. We will discuss real data examples using the German Socio-Economic Panel (SOEP) and Stata.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC244","European Consortium for Political Research (ECPR)","Methods of Modern Causal Analysis Based on Observational Data","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9081&EventID=140","This course provides an introduction into new methods such as Propensity Score Matching (PSM), Instrument Variables (IV), and Difference-in-Differences (DID) approaches in cross-sectional and longitudinal designs.\nStudents will discuss empirical examples and apply methods in computer exercises using Stata and real-world data.\nEstimating causal effects is a central aim of quantitative empirical analysis in social sciences.","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC245","European Consortium for Political Research (ECPR)","Multilevel Regression Modelling","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9070&EventID=140","This course will teach a basic conceptual understanding of multilevel (a.k.a. hierarchical or mixed) modelling and its statistical foundations.\nYou will learn how to critically assess the appropriateness of such techniques in your own and other people’s research.\nIt will pay special attention to the translation of theoretical expectations into statistical models, the interpretation of results in multilevel analyses and the general use and misuse of multilevel models in the social sciences.\nThe course also arms students with the basic tools to run multilevel models in software such as R, Stata or SPSS. \nApplications will include models with continuous and limited dependent variables in hierarchical, longitudinal and cross-classified nesting situations.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC246","European Consortium for Political Research (ECPR)","Structural Equation Modelling (SEM) with R","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9071&EventID=140","The course gives an introduction to theory and practice of Structural Equation Modelling (SEM).\nIt answers the question, why is it more beneficial to use SEM, compared to classical path models. It is shown, how the theoretical latent constructs (e.g. social and political attitudes, and values) can be measured and explained with their relationships with other variables. The course highlights the theoretically and empirically important aspects of model comparison between different groups (such as countries or different years in a longitudinal survey).","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC247","European Consortium for Political Research (ECPR)","Times Series Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9067&EventID=140","This course is a comprehensive introduction to time series analysis with R. Students will gain an understanding of time series and learn how to meaningful inferences and forecasts from data collected over time.\nIt will successively introduce more complex aspects of statistical analysis. \nThe course takes a hands-on approach to teaching the logic of analysis and estimation. I will present examples of application of techniques to the actual data, and you will perform a variety of data analyses.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,4,1,"Pokročilým","Kurz nenaplnil očakávania účastníka. Pedagógovia ako odborníci získali nízke hodnotenie, účastník by uvítal viac sa držať študijných materiálov. "]
["EC248","European Consortium for Political Research (ECPR)","Event History and Survival Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9089&EventID=140","In this course, participants will thoroughly study a situation when there is only one event per subject, but will also quickly review the extensions to a sufficient degree for them to be able to continue their work in the area. \nThe most distinctive feature of time to event data is that the event is often not observed at the time of analysis. Applying standard statistical methods to such data leads to severe bias or loss of information.\nSpecial methods are therefore needed to extract information. \n\nCourse will include practical examples, for which will be used the software package R. ","09:00–12:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC249","European Consortium for Political Research (ECPR)","Introduction to Machine Learning for the Social Sciences","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9105&EventID=140","In this course, participants will learn the fundamentals of machine learning as a data analysis approach, and will get an overview of the most common and versatile classes of ML algorithms in use today.\nBy the end of the course, they will be able to identify what kind of technique is most suitable for their research question and data, and how to design, test and interpret their models. They will also be equipped with sufficient basic knowledge to proceed independently for more advanced algorithms and problems.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC250","European Consortium for Political Research (ECPR)","Age Period Cohort Analysis","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","895 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9106&EventID=140","This course is designed to give you a deep knowledge of Age-Period-Cohort (APC) Models. These are models that help social scientists examine whether time-varying changes in social and political phenomena are due to the biological and social process of ageing (age effects), social or economic factors, for example an economic crisis (period effects) or the unique experience of a group, for example children socialised under an authoritarian regime (cohort effects).\n\nWhat makes the analysis of those effects interesting and methodologically challenging is the so called 'identification problem'; The age-period-cohort conundrum refers to the problem of separating the effects of age, periods and cohorts.\n\nBy the end of the course you will understand the identification problem in the study of ageing and cohort analysis and the different methods developed to overcome the identification problem. You will also be familiar with the limitations of these methods and know which method to use, depending on your own research question.\n\nWe will pay special attention is to the Hierarchical Age-Period-Cohort-Model (HAPC).\n\nIn addition to the methods behind the study of APC models, you will also learn how to conduct your own APC models in R.\n\nThe overall goal of the course is to give you a general overview of APC models, familiarise you with the different methods of studying age-period-cohort effects, and teach you how to produce and interpret your own findings.\n\nLong Course Outline\nThe aim of this course is to introduce you to the major methodological tools related to the study of ageing and cohort analysis.\n\nIn times of major political events, studies of Age-Period-Cohort are highly significant; APC models help us understand time-varying social and political changes, and to identify the trends and dynamics of those trends among the population.\n\nThis course will show you how to conduct such analysis. I will start by explaining the importance of studying aging, cohorts and time, and the importance of the identification problem.\n\nThen I introduce the key methods and models in the study of APC models and the newest developments in the study of Age-Period-Cohort models.\n\nBy the end of this course, you will understand the key concepts and theories behind APC models, know how to apply different statistical methods related to the study of Age-Period-Cohorts and to produce your own findings.\n\nI will introduce the concept of priors and Bayesian statistical inference for APC models, though we will not cover those topics extensively.\n\nDay 1\nI introduce you to the study of Age-Period-Cohorts and explain why APC models are important for the study of social change. We discuss the identification problem in the study of Age-Period-Cohort and how different statistical methods can help us overcome this problem. In our first lab session you will learn how to get your dataset ready for APC analyses; an important first step in the study of APC models.\n\nDay 2\nWe examine the first generation of models in the study of APC models. These include the use of age-by-time period contingency tables, the use of proxy variables in the study of APC models, and the coefficient constraint approach. We’ll practice all these methods in the lab session.\n\nDay 3\nI introduce the Intrinsic Estimator, a method to estimate and capture the effects of age, period, and cohorts. We discuss the advantages of this method the statistical model, and criticism of it. During the lab session, we will practice on Intrinsic Estimator models.\n\nDay 4\nI introduce the Hierarchical APC Model. Hierarchical modelling is considered the most up-to-date method in the study of the APC models. These models take into consideration the multilevel structure of the data; individuals are nested in a cross-classification of periods and birth cohorts. In the lab we will learn how to run a Hierarchical APC Model.\n\nDay 5\nWe talk about the use of priors (Bayesian statistical inference) in estimating APC effects and about non-parametric Generalised Additive Models (GAMs). GAMs allow researchers to plot nonparametric smoothed curves for the effect of year or of the cohort. This helps us observe differences among the estimated effects, and differences of those effects among different countries.","14:00 – 17:30 each day\nAko skúšku je potrebné splniť kritériá určené pre minimálne 3 kredity.","nie","áno",1.8,"","","",""]
["EC251","European Consortium for Political Research (ECPR)","Maths Refresher","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","0 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9110&EventID=140","Quick maths refresher focusing on topics essential to better understand analytical tools in modern social scientific research.\n\nSuch tools include statistical models (e.g. linear regression, factor analysis), estimation techniques (e.g. least squares, maximum likelihood), measurement, formal modelling, and all kinds of inferences.\n\nThe course deals with:\n\nlogic\nalgebra\ncalculus\nmatrix\nprobability\nLogic is essential for sound inferences as well as for theory formation. Algebra, calculus and matrices are essential for formal modelling and for better understanding statistical models and estimation techniques. Probability playes a crucial role in statistical models as well as measurement of theoretical concepts.\n\nWe won't be able to discuss individual topics thoroughly in such a short space of time. Instead, I will emphasise the relationship between mathematics and individual aspects of social science research.","08:00 - 08:50 each day. This is a free supplementary course. You must register and pay for a one-week course in order to take it. To book, please check the box when registering.","nie","nie",1.8,"","","",""]
["EC252","European Consortium for Political Research (ECPR)","Visualisation of Information","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","0 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9134&EventID=140","Being able to convey data, in whatever form, and the results of your analyses visually ensures that your message gets to your audience as effectively as possible. And having the knowledge to read visualisations quickly and be able to detect either intended or unintended distortions is a part of general scientific literacy. \n\nThis short course seeks to give you a basis for both – an understanding of what can be visualised and how, and a critical eye on what is out there.\n\nThe course will not focus on technical skills, although short materials will be provided (because as practice has shown again and again, technical skills do not prevent one from making an ugly or dishonest graph), but rather on the more general principles that are behind good information visualisation.\n\nLong Course Outline\nOur eyes can help us understand, but also to misunderstand the world. They do not reflect the world as it is, but rather create a mental representation of it with gaps and biases. This course thus begins with a session where we focus on how some of our cognitive mechanisms can lead us astray and how that informs us about some of the basic principles that should be followed in data visualisation. \n\nEach day aims to give you an overview of one piece of the puzzle, with examples of good and bad practices, as well as some technical implementation along the way. \n\nDay 1\nWe look at some of our built-in cognitive mechanisms and how they influence our perceptions. Some colours, forms and shapes are easier to perceive and to correctly evaluate. We should do a favour to our audience and use them. \n\nDay 2\nWe go to the opposite extreme by focussing on what not to do – visualisations that are bad in style and taste as well as ones which out of ignorance or malice deceive the intended audience. If you know how to lie with statistics, then you also know how to avoid lying by accident. \n\nDay 3\nWe get a bit more specific and try to think of what types of data and what types of variables are out there and what kinds of plots we can make either to most effectively show a single variable or several variables together. \n\nDay 4\nWe focus on statistical models and their visualisation. A regression table is something that even (or especially) some seasoned social scientists cannot fully interpret, but a well designed and presented visualisation of model results is something that almost everybody can understand. And if you are not going to make them yourself, then you at least will know what you see when you come across them in a text. \n\nDay 5\nWe spend this day on the border between the academic and the non-academic, where the visualisation of information meets art. We will go over examples of modern and classic complex data visualisation and discuss, and focus on some aspects of what make them so great.","08:00 - 08:50 each day. This is a free supplementary course. You must register and pay for a one-week course in order to take it. To book, please check the box when registering.","nie","nie",1.8,"","","",""]
["EC253","European Consortium for Political Research (ECPR)","Philosophy and Methodology of the Social Sciences","Bamberg, Nemecko",5,5,"2020-02-17","2020-02-21","0 EUR","2019-12-12","https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9073&EventID=140","Why should political scientists bother to engage with fundamental issues in philosophy of science and methodology?\nShould we not leave that to specialists, in particular philosophers of science themselves?\n\nTo answer in the negative and to demonstrate the value of both for the study of politics, this short course aims to introduce and discuss core themes in philosophy of science so that it becomes apparent how they are very much at play in everyday research practice.\n\nLong Course Outline\nThis course is a broad survey of epistemological, ontological, and methodological issues relevant to knowledge production in the social sciences. The course has three overlapping objectives:\n\nTo provide you with a grounding in these issues as they are conceptualised and debated by philosophers, social theorists, and intellectuals more generally\nTo introduce some of the ways in which these issues have been incorporated (all too often incompletely or inaccurately) into the social sciences\nTo promote reflection on how these issues relate to your own empirical research\nThis is neither a technical research design nor a proposal writing class. As we proceed through the course, however, you should come to appreciate the consequences of philosophical debates for your own research practice. You are encouraged to approach this course as an opportunity to think critically, creatively, and expansively about the status of social scientific knowledge, both that which you have produced and/or will produce, and that produced by others.\n\nThe 'science question' rests more heavily on the social than the natural sciences, for the simple reason that the successes of the natural sciences in enhancing the human ability to control and manipulate the physical world offer an effective rejoinder to scepticism regarding the scientific status of fields such as physics and biology. The social sciences have long laboured in the shadow of these successes. One response has been to try to model the social sciences on one or another of the natural sciences, or more specifically, on one or another philosophical account of knowledge production in those sciences. This naturalism forms one of the recurrent moves in the philosophy of the social sciences. We will engage it, both in its incarnation in the Logical Positivism of the Vienna Circle, and in the more widespread embrace of falsification as a demarcation criterion for science. Problems generated by the emphasis on law-like generalisations in these naturalistic approaches to social science subsequently informed both the reformulated naturalism of critical realism, and the rejection of naturalism by followers of classical sociologists like Max Weber. Finally, we consider the tradition of critical theory with its commitment to an emancipatory form of knowledge production.\n\nWhile not an exhaustive survey of issues in the philosophy of the social sciences, the course offers an opportunity to explore perennial issues of great relevance for the conduct of social science research, the methodological training of new social scientists, and the aspirations of many social scientists to move from the commonplace that our work somehow can make a difference to a reflexive awareness of the politics of social research. The course should thus serve as a solid foundation for subsequent reading and reflection.\n\nThe course will be organised into three sessions, each of which combines a discussion of core themes at the intersection of philosophy of science, methodology, and political science with an invitation to reflect on how these core themes play out in your own research.","08:00 - 08:50 each day. This is a free supplementary course. You must register and pay for a one-week course in order to take it. To book, please check the box when registering.","nie","nie",1.8,"","","",""]
["UT320","Utrecht University","Data Science: Analysis","Utrecht, Holandsko",5,5,"2020-07-20","2020-07-24","700 EUR","2020-07-03","https://www.utrechtsummerschool.nl/courses/social-sciences/data-science-data-analysis","The course Data science: Data Analysis offers a range of statistical techniques and algorithms from statistics, machine learning and data mining to make predict future events and uncover hidden structures in data. The course has a strong practical focus; participants actively learn how to apply these techniques to real data and how to interpret their results. The course covers both classical and modern topics in data analysis.","Univerzita ponúka ubytovanie za 200€.","nie","nie",2]
["HA103","Harvard ","FinTech","Online",34,49,"2020-07-22","2020-09-08","3600 USD","2020-07-14","https://online-learning.harvard.edu/course/fintech?delta=2","What you'll learn\nAnalyze how competing interests may influence the way FinTech reshapes traditional banking\nDetermine how FinTech corporations are changing the traditional currency regime\nExplore who is currently adopting and driving financial innovations using real-world examples to assess the changes, disruption and adaptations resulting from the rise of FinTech solutions\nEvaluate the impact of FinTech solutions for real estate financing\nArticulate how artificial intelligence and machine learning are used in financial trading\nExamine how FinTech has altered financing through new forms of lending and crowdfunding","8-10 hours per week"]
["IP012","ictPRO","Datová analýza v Pythonu","Praha, Česko",3,3,"2020-07-22","2020-07-24","15 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYTH4.aspx","Chtěli byste se dozvědět více informací z vašich dat? Nestačí Vám Excel a SQL? Potřebujete dělat pravidelné reporty z různých zdrojů a komplexních dat a chce to celé automatizovat? To všechno a další věci Vás naučíme v tomto kurzu. Seznámíte se s moderními technologie založenými na jazyce vhodném pro \"odborníky neprogramátory\", tedy Pythonu.",null,"nie","len v prípade záujmu"]
["EO002","European Observatory on Health Systems and Policies","Observatory Venice Summer School 2020","Benátky, Taliansko",5,6,"2020-07-26","2020-07-31","2 260 EUR","2020-05-31","http://www.euro.who.int/en/media-centre/events/events/2020/07/observatory-venice-summer-school-2020","The course is aimed at senior and mid level policy makers, civil servants and professionals with responsibility for hospital care, whether at policy, self-regulatory, clinical or managerial level. If you want to make hospitals a place that people look up to, both for high quality patient care and as a place to work, then the Observatory Venice Summer School is for you. Question everything we know about what hospitals do, how they work and how they are regulated and paid. •Reflect on how the patients we treat in hospitals are changing, asking how we will care for increasing numbers of frail older patients, patients with multiple complex conditions who don’t easily fit into a single specialty, patients with highly specialist needs whose care is at the forefront of scientific research, patients from increasingly diverse cultures.. Explore how we will adapt to the challenges of disruptive technology, in a world of minimally invasive surgery, new types of imaging, and bedside diagnostics. Think about how, in a world where the brightest and best have many other opportunities, we will attract and retain high quality staff, and why it matters. Challenge traditional ways of doing things, asking whether things are best done by a different type of health worker, a patient or their carer, or a machine",null,"áno","nie"]
["TA001","TalTech University","Summer School on Secure e-Governance (5 ECTS)","Talin, Estónsko",10,13,"2020-07-26","2020-08-07","TBA",null,"https://www.ttu.ee/projects/summer-and-winter-schools-2/summer-schools-4/secure-e-governace-2/","The idea of the course is to introduce e-Estonia from the government level and to give an overview of how things are rolling in the ICT sector in Estonia, the course also broadens the understanding of the value that e-services could provide for different stakeholders (citizens, public entities and privately held companies etc.) nationwide and internationally. As the business models and service ecosystems are shifting more into the networked world, both in the private and public sector, there is a strong need to understand the background of e-services from the idealization to realization. By the end of the course students will have at the very least pitched one e-service prototype to implement in the future.",null,"nie"]
["EC261","European Consortium for Political Research (ECPR)","Introduction to Nvivo","Online",5,5,"2020-07-27","2020-07-31","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9906&EventID=148","This course will teach you how to use NVivo for the management, coding, analysis and visualisation of qualitative data. It follows the qualitative data analysis process in sequence, and covers how to: •set up a project and organise data, •manage a literature review, •code and analyse data, •present qualitative findings.","Although no previous knowledge of NVivo is required, you should have some familiarity with qualitative research. Please note This course does not teach qualitative data analysis in NVivo based on specific methods such as thematic analysis, content analysis, grounded theory, etc.","nie","nie"]
["EC262","European Consortium for Political Research (ECPR)","Introduction to R","Online",5,5,"2020-07-27","2020-07-31","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9907&EventID=148","The goal of this course is to provide an accessible entry into the world of R. It will enable you to approach the most common analysis tasks in R with confidence. We will cover data cleaning, exploratory data analysis, creating visualisations, and writing entire academic papers using RMarkdown. R has an unfortunate reputation as a steep learning curve, but I aim to dispel this myth and show how a range of recent developments make R not just powerful, but accessible to newcomers.","This course assumes no knowledge of R, or of any other programming language. All you need is a Google account.","nie","nie"]
["EC263","European Consortium for Political Research (ECPR)","Python Programming for Social Scientists","Online",5,5,"2020-07-27","2020-07-31","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9908&EventID=148","Python is the most popular programming language of data science, used in natural language processing, machine learning, and artificial intelligence. This five-day Python programming course is designed for social scientists who would like to conduct data collection, analysis and modelling with Python. The course focuses on hands-on exercises and practical tips to help you start your journey in the world of Python. Since this course covers a wide variety of topics, you are required to complete homework after class from Monday to Thursday.","Basic statistical knowledge, no programming experience needed.","nie","nie"]
["EC267","European Consortium for Political Research (ECPR)","Comparative Research Designs","Online",5,5,"2020-07-27","2020-07-31","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9916&EventID=148","This course provides training on methods that enable a researcher to construct a solid and well-argued comparative research design (CRD) – any research enterprise that comprises at least two ‘cases’ or units of analysis.We will cover multiple options, from very few cases (small-n) to multiple cases (intermediate-n) to many cases (larger-n). By the end of this course, you will be able to write up a well-constructed CRD section for your project and to reflect strategically on your comparative research project.","Little prior knowledge is expected. Any training in qualitative and/or quantitative methods would be an asset, but is by no means a requirement. You should simply be willing to reflect openly about your research design – there is no ‘best’ or ‘one-size-fits-all’ comparative research design.","nie","nie"]
["CL019","University College London (UCL)","Statistics and Regressions with R: an Introduction (Summer School)","Londýn, Veľká Británia",5,5,"2020-07-27","2020-07-31","1800 GBP (2075 EUR)",null,"https://www.ucl.ac.uk/short-courses/search-courses/statistics-and-regressions-r-introduction-summer-school","This five-day summer school provides an introduction to statistical analysis and the statistical programming language R.\n\nYou'll learn the fundamental principles of statistics and how to carry out your own analysis, including significance tests and regression techniques. In practical sessions you'll learn how to use Rstudio - free software which provides a user-friendly interface for R. The course will cover the following topics:\n\nQuantitative research study designs\nTypes of data \nGraphical displays \nSummaries of data \nConfidence intervals \nHypothesis testing (parametric and non-parametric tests)\nP-values\nRegression analysis\nThe course will cover a number of different regression analyses, including the following:\n\nLinear regression\nLogistic regression\nOrdinal logistic regression\nPoisson regression\nNegative binomial regression","The standard price is £1,800.\nAn early bird price of £1,500 is available for bookings made by 13 March 2020.\nThe fee includes:\n\na welcome pack\nprinted course materials\nrefreshments and lunches\nsocial events\nThe fee doesn't cover accommodation and you'll need to arrange this yourself. ","nie","nie"]
["GE210","GESIS – Leibniz Institute for Social Sciences","Introduction to Stata for Data Analysis","Online",3,3,"2020-07-29","2020-07-31","240 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xB145C8E93DDE43B39A84F1C29ECA72B0","This course will give a thorough introduction to the Statistics Software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills. The course will not cover basic statistical methods but how to apply these methods using Stata. In the first part of the course, we will cover the program's interface and give an introduction to its syntax structure and basic rules to write clean and reproducible Stata code. Subsequently, we will provide you with skills in hands-on data management, common data analyses, and the visualizing of results. Depending on the participants' prior knowledge, we will be able to give further insight into the automatization of data wrangling and analyses procedures and the export of publication-ready results. Also, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems.","Prerequisites: Basic knowledge of uni- and bivariate statistics.","nie","nie",2.5]
["GE211","GESIS – Leibniz Institute for Social Sciences","Research Designs and Causal Inference","Online",3,3,"2020-07-29","2020-07-31","240  EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x45C7037A0DED4B8698AA6D904E762816","Social scientists are frequently interested in the analysis of change and its causes. For this reason, typical research interests refer not only to the observation of change but first and foremost to the analysis of its causes - the question why change occurs is at the core of many empirical studies in social science research. The extent to what change can be traced back to a specific cause unambiguously - the so-called internal validity - depends on the order and the course of the empirical study, in other words, the research designs. For this reason, decisions concerning the research design are crucial to the success of any causal analysis. Against the background of these considerations, different ways to classify research designs are introduced, and the relations between research questions and designs are introduced and discussed with regard to the strengths and weaknesses of different kinds of research designs.","Participants should have graduate-level knowledge about: main types of research and sampling designs, survey methodology, main techniques of cross-sectional and longitudinal designs and data analysis .","nie","nie",2.5]
["IP007","ictPRO","Python - základy programování","Praha, Česko",3,3,"2020-07-29","2020-07-31","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","V rámci školení se seznámíte s fungováním jazyka Python, podíváte se na složitější příkazy a možnostmi hledání a využití standardní knihovny. Součástí kurzu jsou samozřejmě také praktická cvičení, během nichž mimo jiné vyzkoušíte vytvoření automatizace dvou úkolů","Je možné sa pripojiť aj virtuálne","nie","len v prípade záujmu"]
["LO240","London School of Economics and Political Science (LSE)","Public Policy Analysis","Online",54,78,"2020-07-29","2020-10-14","2 100 GBP","2020-07-21","http://www.lse.ac.uk/study-at-lse/Online-learning/Courses/Public-Policy-Analysis","During the LSE Public Policy Analysis online certificate course, you’ll engage with topical, global case studies as you develop practical skills and techniques for immediate application to policy-related projects, or within your organisation. Benefit from the unique pedagogy and multidisciplinary approach of LSE – an institution at the forefront of research and teaching in the social sciences – as you develop analytical frameworks to better understand the policy process and the factors that contribute to policy success and failure.\n\nOver the course of 10 weeks, online, you’ll enhance your practical policy communication skills, as well as explore how to leverage common quantitative techniques and research methodologies to conduct evidence-based impact evaluations.\n\nThroughout this online certificate course, developed by LSE’s School of Public Policy, you’ll get the opportunity to interact with a global cohort of like-minded individuals and to learn from expert LSE faculty with diverse experience in conducting research in a number of different countries, across a variety of policy areas.\n\n"]
["EU193","European Institute of Public Administration (EIPA)","Efficient Management of Public Sector Budgets and Services - What to Do and How to Do it","Maastricht, Holandsko",2,2,"2020-02-12","2020-02-13","1100 EUR",null,"https://www.eipa.eu/product/public-sector-budgets/","We cover key financial/operational risks across the public financial management cycle – budgeting, budget execution, planning and delivery of services focusing on how to:\n\nPrepare public sector budgets and service plans in difficult times by making realistic choices about priorities and thus make best use of limited resources;\nLink budgets to service priorities;\nUse budgets as a tool to manage public services, including setting/using KPIs and when/how to deal with unfavourable outcomes.\nWe also cover stakeholder impact budgets (such as gender-based budgeting), the role of multi-annual budgets and the challenges in performance budgeting. y the end of the workshop you will:\n\nBetter understand the role of budgeting in the public sector and why it matters;\nBe able to deal more effectively with the current challenges for budgeting and service planning for finance staff and service managers;\nAchieve better co-operation between finance staff and service managers to improve public service planning and delivery;\nBe able to identify/manage the most commonly arising financial and operational risks in budget preparation and planning for service delivery;\nBe able to identify/manage the commonly arising financial and operational risks in the budget execution of and service delivery;\nBetter understand how auditors can help public sector bodies to improve their management of finances/services.",null,"nie","nie "]
["TA003","TalTech University","Summer School on Secure e-Governance ","Online",10,14,"2020-08-02","2020-08-15","800 EUR","2020-06-30","https://summerschool.eitdigital.eu/secure-e-governance/","The idea of the course is to introduce e-Estonia from the government level and to give an overview of how things are rolling in the ICT sector in Estonia, the course also broadens the understanding of the value that e-services could provide for different stakeholders (citizens, public entities and privately held companies etc.) nationwide and internationally. As the business models and service ecosystems are shifting more into the networked world, both in the private and public sector, there is a strong need to understand the background of e-services from the idealization to realization. By the end of the course students will have at the very least pitched one e-service prototype to implement in the future."]
["EC260","European Consortium for Political Research (ECPR)","Process Tracing Methods","Online",5,5,"2020-08-03","2020-08-07","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9905&EventID=148","Process tracing is a research method designed to learn how things work in real-world cases. Increasingly used across the social sciences and in applied policy evaluation, process tracing involves unpacking a causal process in a case and tracing how it worked empirically, enabling strong within-case inferences about causal processes.The aim of this online course is to give you a working understanding of the core elements of process tracing as a robust case study method, enabling you to utilise it in your own research – either alone or in combination with other methods. ","Prerequisite Knowledge: Some basic knowledge of case study methods and broader social science methodology is required. Given that many of the activities relate to applying process tracing to your own research, you will get the most benefit from this course if you are working with a case study or are about to embark on one.","nie","nie"]
["EC264","European Consortium for Political Research (ECPR)","Ethnographic Field Research Methods: Data Generation Methods","Online",5,5,"2020-08-03","2020-08-07","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9912&EventID=148","This course will give you a practical introduction to three key methods of data generation (observation, participant observation, and interviews) used in interpretive ethnographic field research. It will also explore issues related to their use, including field access, what to observe, researcher positionality and producing trustworthy accounts of fieldwork.","This course is a hands-on introduction to ethnographic (interpretive-qualitative) fieldwork research methods.","nie","nie"]
["EC265","European Consortium for Political Research (ECPR)","Qualitative Data Analysis","Online",5,5,"2020-08-03","2020-08-07","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9909&EventID=148","This seminar-type course provides a highly interactive online teaching and learning environment, using state of the art online pedagogical tools. It is designed specifically for a demanding audience (researchers, professional analysts, advanced students) and is capped at a maximum of 12 participants so that the Instructor can cater to the specific needs of each individual participant.This course teaches you strategic understanding and applied skills in planning, conducting, and reporting the process of qualitative data analysis (QDA) in one’s research. The course combines theory, applied exercises and demos in NVivo.","This course assumes no previous knowledge of qualitative data analysis or NVivo, but requires basic understanding of qualitative research. Only the basic features of NVivo will be taught.","nie","nie"]
["GE205","GESIS – Leibniz Institute for Social Sciences","How to specify Panel Data Analysis","Mannheim, Nemecko",2,2,"2020-02-17","2020-02-18","360 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xC18973B4E7DB4441970AF3FE5AA85BEB","Within-estimation with panel data (e.g. fixed-effects regression) has the advantage that it automatically controls for all time-constant unit-specific confounders. Therefore, within-estimation is meanwhile widely used in social research. However, available textbooks are largely silent on how to specify a within analysis and therefore it is no wonder that many published studies use problematic specifications that have the potential to spoil the advantages of within-estimation. In this workshop we will discuss several of these specification issues for within-estimation: How to model impact functions? How to model the age effect? Should one use a control group? How to use hybrid models? How to specify interaction effects? Should one use lagged outcome/treatment variables? How to get rid of the parallel trends assumption? How to deal with reverse causality?",null,"nie",null,2.5]
["GE206","GESIS – Leibniz Institute for Social Sciences","Research Factory for Text Mining in the Social Sciences","Kolín, Nemecko",3,3,"2020-03-23","2020-03-25","TBA",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x7C279142645144CB854441D0AD613445","The three-day workshop serves as a research incubator linking the use of web-based Natural Language Processing tools with challenges and research questions of the Social Sciences. The workshop is intended to provide participants with insights into the technologies of Text Mining Infrastructures and their use. In more detail, it will enable Social Scientists to address specific questions that require text processing based operationalization. The participants will be shown theories and methods, which will then be adapted to their questions in intensive supervision. The offered infrastructure environment includes the iLCM, an integrated virtualized text mining infrastructure and Open Research Computing environment, which enables the combined use of GUI and scripting based analysis procedures. We expect our participants to prepare a research question, which we discuss together during the workshop and try to operationalize. The use of participants own datasets is possible in consultation with the organizers. \nThe participants will be able to operationalize a scientific question through the use of methods of Natural Language Processing with the conclusion of the workshop. Furthermore, the combined use of R and GUI based tools will be explained and learned using participants questions. This can include the understanding of methods like Topic Modeling, Co-occurrence Statistics or Keyword Extraction as well as the implementation of the processing strategies in R.",null,"nie",null,2.5]
["GE207","GESIS – Leibniz Institute for Social Sciences","Research Data Management","Kolín, Nemecko",2,2,"2020-04-23","2020-04-24","360 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xD954562918924C47A015BBEC6E1D9D06","The current workshop helps researchers to ensure that their research data is usable within the project and can be safely made available to others - both for the purpose of research replication and for re-use in new contexts. Ideally, these tasks are implemented in the research process without major extra efforts for researchers. For this purpose the workshop focuses on legal issues of data collection and sharing, on basic concepts of data cleaning and data documentation, on the organization of research data within the research project of as well as on sharing the data beyond the research project of origin.",null,"nie",null,2.5]
["EC266","European Consortium for Political Research (ECPR)","Qualitative Comparative Analysis (QCA)","Online",5,5,"2020-08-03","2020-08-07","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9918&EventID=148","This course introduces you to Qualitative Comparative Analysis and fuzzy sets, and their application in the social sciences, using the R software environment. It starts out by familiarising you with the basic concepts of the underlying methodological perspective, including formal logic, Boolean algebra, causal complexity, and calibration. From there, we move to the central notions of necessity and sufficiency, and discuss ways to analyse these using parameters of fit and visualisation techniques.The core of the course focuses on the logic and analysis of truth tables and discusses the most important problems that emerge when this analytical tool is used for exploring social science data. Right from the beginning, you will perform set-theoretic analyses with the relevant R software packages. When discussing set-theoretic methods, our debates will engage on broad, general comparative social research issues, such as case selection principles, concept formation, questions of data aggregation, and the treatment of causally relevant notions of time.The use of QCA will be practiced based on data from published applications in the social sciences.","You don’t need any prior knowledge of QCA or the R software environment and the package relevant for set-theoretic methods. However, you would profit from prior empirical-comparative training (such as the Comparative Research Designs course in Week 1) and we strongly encourage advance familiarisation with the basic principles of the QCA method by reading the recommended literature.","nie","nie"]
["EC269","European Consortium for Political Research (ECPR)","Social Network Analysis","Online",5,5,"2020-08-03","2020-08-07","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9921&EventID=148","This course is designed to enable theory-driven research questions with scalable computational tools and empirical data, for researchers interested in conducting applied social network analysis in various social scientific disciplines. ",null,"nie","nie"]
["EC273","European Consortium for Political Research (ECPR)","Multilevel Modelling","Online",5,5,"2020-08-03","2020-08-07","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9928&EventID=148","The course offers an introduction to multilevel regression models for people who have a solid foundation in regression modelling. You will learn the foundations and application of multilevel, hierarchical linear or mixed-effects models, and alternative approaches to solve problems multilevel modelling was designed to solve.","This course is designed for people with a solid foundation in regression models that reaches beyond knowing what to click to run a regression, how to copy the output into the paper, and knowing where to find the stars to point to in the write-up.Very basic knowledge of R is useful. At least know how to open a dataset and maybe run a linear regression, even if you are not yet ready to do all your data processing in R. If you have this much and are willing to work a bit more at it, we’re in business.","nie","nie"]
["GE212","GESIS – Leibniz Institute for Social Sciences","Introduction to R for Data Analysis","Online",5,5,"2020-08-03","2020-08-07","480 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x3D8DF3356767412FB71AA7A5F4BD4253","The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. In addition to providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.","Prerequisites: prior experience with data analysis, basic statistics, and regression;basic familiarity with the use of a computer; experience with using other statistical packages (e.g., SPSS or Stata) is helpful, but not a requirement.","nie","nie",2.5]
["GE213","GESIS – Leibniz Institute for Social Sciences","Mathematical Tools for Social Scientists: A Refresher Course with R","Online",5,5,"2020-08-03","2020-08-07","480 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xCC798FF06B774A59B541FEC819E9C301","By the end of the course, participants will: have an understanding of the fundamentals of Mathematics, as well as several advanced topics, have learnt how several basic as well as advanced statistical methods are conceptualized mathematically and how they are implemented analytically and computationally, give R beginners an introduction to the most powerful and universal computing tool available, give existing R users new insights into the R environment. ","Prerequisites: The only prerequisite for the workshop is the motivation to learn (or to repeat) the fundamentals of Mathematics and R. Note: Familiarity with R is not a prerequisite (but highly welcome). Downloading and installing R (http://cran.r-project.org) and Rstudio (http://rstudio.org) prior to the course is strongly suggested. Participants are encouraged to play around with the software before the course in order to get a feeling for it.","nie","nie",2.5]
["GE216","GESIS – Leibniz Institute for Social Sciences","Questionnaire Design","Online",5,5,"2020-08-03","2020-08-07","480 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xB4BF526DE1224D8A94150A98816A118D","Briefly speaking, the quality of survey answers provided by respondents can only be as good as the questions being asked. Thus, an effective questionnaire is a key component of a survey contributing to overall data quality. In addition to an overview of theoretical principles underlying questionnaire design this course particularly aims at providing evidence-based practical advice on how to design good survey questions and questionnaires. Based on field-experimental studies evaluating various aspects of questionnaire design participants will acquire state of the art knowledge concerning questionnaire design. The course offers the opportunity to apply these competencies under the supervision of the lecturer in group exercises and assignments. The course will strengthen participants' ability to design effective survey questions and to integrate them into a meaningful questionnaire.\n ","Basic knowledge in quantitative social science research methods is required; basic knowledge concerning survey design and data quality is advisable. Participants not familiar with the total survey error framework are encouraged to consider the preparatory reading mentioned at the end of this syllabus. There are no statistical prerequisites.","nie","nie",2.5]
["IP009","ictPRO","Python - základy programování","Brno, Česko",3,3,"2020-08-03","2020-08-05","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","Je možné sa pripojiť aj virtuálne","nie","len v prípade záujmu"]
["MA240","Massachusetts Institute of Technology (MIT)","Transportation Networks and Smart Mobility: Methods and Solutions","Online/Boston, USA",5,5,"2020-08-03","2020-08-07","3600 USD","2020-07-27","https://professional.mit.edu/course-catalog/transportation-networks-and-smart-mobility-methods-and-solutions","This course presents theory of transportation modelling and simulation techniques, with a focus on Smart Mobility solutions and real-world applications. It provides an in-depth study of the most sophisticated traffic simulation models, demand modeling methods, and related analytical techniques. Some of the topics include: modeling and simulation approaches for future mobility; discrete choice models and their application to travel choices and driving behavior; predicting traffic congestion; traffic flow models and simulation methods (microscopic, mesoscopic, and macroscopic); automated and connective vehicles in mixed traffic; alternative dynamic traffic assignment methods; and calibration of large scale simulation systems. In addition, the course covers recent developments in modelling, simulation, operations of smart mobility services, and machine learning applications in transportation. The course also includes case studies to elucidate the concepts and showcase the potential applications."]
["CL027","University College London (UCL)","Global Prosperity Beyond GDP","Online",20,26,"2020-08-03","2020-08-28","0 EUR",null,"https://www.ucl.ac.uk/short-courses/search-courses/global-prosperity-beyond-gdp","In this free online four-week course you'll explore alternatives to gross domestic product (GDP) for defining and measuring success for society.\n\nYou'll learn about and discuss new tools and new ways of thinking to tackle the challenges of today and ensure a successful and prosperous future for everyone.\n\nYou'll look at how we can build an economy that works better for people and the planet, by focusing on prosperity, not wealth.\n\nThe aim of the course is to inspire students, entrepreneurs, and citizens with a positive picture of what we are capable of with just a little bit of re-direction.",null,null,"nie"]
["TI290","Timberlake Consultants","Linear and Non-Linear Regression models in Stata ","Online",1,2,"2020-08-07","2020-08-08","450 GBP","2020-08-05","https://www.timberlake.co.uk/courses/linear-and-non-linear-regression-models-in-stata.html","This course is for researchers from all academic disciplines who are new to Stata. The course assumes only limited statistical knowledge and experience of using statistical software. Participants will be introduced to Stata and will be taught the statistical theory behind linear and non-linear regression methods . Practical sessions will use macro economic and finance datasets. ","Apply and pay before 6 August 2020",null,null,2]
["EC268","European Consortium for Political Research (ECPR)","Quantitative Text Analysis","Online",5,5,"2020-08-10","2020-08-14","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9922&EventID=148","The course will introduce you to quantitative text analysis methods using examples from political science and related disciplines. It will look at manual content analysis but the emphasis will be on computer-assisted text analysis. We will cover methodological and practical aspects of the different methods. ","You should be familiar with basic statistical concepts such as measures of central tendency (mean, median), dispersion (standard deviation), tests of association (Pearson’s r), inference (χ2, t-test).These materials are covered in the first few chapters of introductory statistics or data analysis textbooks. A useful example is Pollock P.H. III, The Essentials of Political Analysis, fourth edition (Washington, DC: CQ Press, 2012). Chapters 2, 3, 6, and 7.Some familiarity with R statistical software is also desirable but not necessary. We will use R Studio for all the seminar exercises. ","nie","nie"]
["EC270","European Consortium for Political Research (ECPR)","Machine Learning with Big Data for Social Scientists","Online",5,5,"2020-08-10","2020-08-14","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9923&EventID=148","You will learn how to work with big data using R, through various available solutions.You’ll also gain insights from the data through basic machine learning techniques, and from coding tutorials.","The course assumes you have some familiarity with R statistical language and can conduct basic data handling in R (opening data files, working with data frames). If you don’t have this, take the week-one course Introduction to R. You should also have basic knowledge of standard statistical analysis in social science, such as linear regression and hypothesis testing. These are covered in the week-one courses Introduction to Inferential Statistics and Big Data Collection and Management in R.","nie","nie"]
["EC271","European Consortium for Political Research (ECPR)","The Statistics of Causal Inference","Online",5,5,"2020-08-10","2020-08-14","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9930&EventID=148","This course introduces you to the principles, logic and perquisites of causal inference. Using the potential outcomes framework, together with elements from Pearl's Directed-Acyclic-Graph treatment of causality, it aims to familiarise you with design-based approaches to causal inference. We will try to set best practices about how to think and discuss causal effects.","You should have a solid understanding of linear regression and even mechanical knowledge of hypothesis testing at the level of any introductory econometrics textbook.","nie","nie"]
["IP004","ictPRO","Úvod do data Miningu (DM1)","Praha, Česko",2,2,"2020-01-30","2020-01-31","8900 Kč",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx","V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n",null,"nie"]
["IP001","ictPRO","Úvod do data Miningu (DM1)","Brno, Česko",2,2,"2020-03-05","2020-03-06","8900 Kč",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx","V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n",null,"nie"]
["IP005","ictPRO","Úvod do data Miningu (DM1)","Praha, Česko",2,2,"2020-03-26","2020-03-27","8900 Kč",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx","V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n",null,"nie"]
["IP002","ictPRO","Úvod do data Miningu (DM1)","Brno, Česko",1,2,"2020-04-16","2020-04-17","8900 Kč",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx","V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n",null,"nie"]
["IP006","ictPRO","Úvod do data Miningu (DM1)","Praha, Česko",2,2,"2020-05-21","2020-05-22","8900 Kč",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx","V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n",null,"nie"]
["IP003","ictPRO","Úvod do data Miningu (DM1)","Brno, Česko",2,2,"2020-06-11","2020-06-12","8900 Kč",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-miningu-DM1.aspx","V tomto kurzu si představíme celý proces data miningu, od seznámení se s daty, přes vlastní aplikaci DM metod, až po interpretaci výsledků a jejich potenciální využití v praxi. Ukážeme si práci jak v desktopovém nástroji, tak na cloudové platformě. \nNáplň kurzu:\nSkrýt detaily • Úvod, související pojmy (machine learning, artificial intelligence, data science).\n• Metodiky data miningu\n• Data, typy dat, datová kvalita\n• Explorační analýza dat, vizualizace dat\n• Nástroje pro data mining\n- Klasické desktopové nástroje (RapidMiner)\n- Webové nástroje (BigML)\n• Preprocessing dat \n- Sampling\n- Transformace\n- Selekce\n- Diskretizace\n- Seskupování hodnot\n- Chybějící hodnoty\n• Data miningové techniky\n- Regresní funkce, logistická regrese\n- Klasifikace (rozhodovací stromy, neuronové sítě, Bayesovská klasifikace) + evaluace modelu a jeho kvalita\n- Asociační pravidla\n- Shlukování\n• Interpretace a evaluace\n• Text mining na praktickém příkladu\n",null,"nie"]
["EC272","European Consortium for Political Research (ECPR)","Panel Data Analysis","Online",5,5,"2020-08-10","2020-08-14","875 GBP",null,"https://ecpr.eu/Events/PanelDetails.aspx?PanelID=9929&EventID=148","This course provides a general survey of the methods and techniques that can be applied to the analysis of panel and/or time-series-cross-sectional (TSCS) data.It aims to equip you with theoretical knowledge and practical skills related to panel data so that you can investigate economic, political and social phenomena scientifically and provide answers to your own research questions.","This course builds on OLS regression and extends it to data with a panel or TSCS structure. You should be familiar with basic theories of OLS, up to multiple regression.To participate meaningfully in the lab sessions, you should also have basic knowledge of Stata and/or R. Some background in linear algebra would be helpful but is not required or assumed.","nie","nie"]
["GE214","GESIS – Leibniz Institute for Social Sciences","Applied Multiple Imputation","Online",5,5,"2020-08-10","2020-08-14","600 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x6EC332D84D51414BA8CB58669F1AAADA","The goals of the course are to introduce participants to the basic concepts and statistical foundations of missing data analysis and MI, and to enable them to use MI in their own work. The course puts heavy emphasis on the practical application of MI and on the complex decisions and challenges that researchers are facing in its course. The focus is on MI using iterated chained equations (aka “fully conditional specification”) and its implementation in the software package Stata. Participants should have a good working knowledge of Stata to follow the applied parts of the course and to successfully master the exercises. Participants who are not familiar with Stata may still benefit from the course, but will likely find the exercises quite challenging.","Prerequisites: Experience in the analysis of quantitative data, Good knowledge of regression analysis, Good working knowledge of Stata, Basic understanding of probability theory and sampling","nie","nie",2.5]
["GE217","GESIS – Leibniz Institute for Social Sciences","Introduction to Survey Design","Online",5,5,"2020-08-10","2020-08-14","600 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x914C6E08FE534B2CAF56DD955BCDF694","This course gives an overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing data quality at each step of the process against associated costs.\nThe course is taught through formal lectures in which the theoretical foundation in the literature is discussed, less formal presentations and discussions of survey design in existing survey research, as well as personal tutorial meetings that give participants the opportunity to discuss exercises and their own survey designs. Each day we will discuss a specific topic that each focuses on one or more aspects of survey design within the Total Survey Error framework. First, the choice of the survey mode is discussed, and how different ways to sample respondents follow from that choice. On the second day, we focus on the issue of survey nonresponse - how to prevent, analyze, and correct for it. On the third and fourth day, the actual survey content is discussed - how to write survey questions, make sure that they measure what they are intended to measure, test them, and finally, how to assess whether survey data are of good quality. On the final day, we focus on data coding and maximizing quality. We conclude with an overview perspective of all survey errors and their interaction with survey costs.\nThe course will be applicable to surveys of individuals, households, and organizations in different survey modes: mail, face-to-face, web, and paper-and-pencil surveys.\nA detailed syllabus for this course is available for download here.","No previous experience in survey research is needed; however, some practical experience in conducting surveys and analyzing data will be beneficial.\nA basic understanding of statistics is assumed, at the level of basic inferential statistics (t-tests).\nAll students need to send a brief summary of their experience with surveys (about 0.5 page) and the questions they have about how to design surveys before the start of the course to the instructors, at the latest on August 7, 2020.\n","nie","nie",2.5]
["MG001","Maastricht Graduate School of Governance","Introduction to Impact Evaluation of Policies and Programmes","Online",38,54,"2020-08-10","2020-10-02","500 EUR",null,"https://www.merit.unu.edu/training/online-courses/introduction-to-impact-evaluation-of-policies-and-programmes/","In this course you will learn how to conduct a rigorous impact evaluation of a development policy, programme or intervention. The course aims to enable participants to understand how to quantify the causal effect of interventions by carefully understanding attribution and the practical applications of methodologies. The course takes you through several steps of conceptualising an evaluation, understanding the pathways of change, understanding the different methodologies for conducting impact evaluation and choosing the most appropriate methodology given the set of circumstances.  You will be introduced to the quantitative techniques of impact evaluation and learn about their weaknesses and strengths and appropriateness to real-life evaluation scenarios.","Upon registration, you will be enrolled for 8 weeks, including 1 week to access the platform and become familiar with the materials, 4 weeks of coursework, 1 week to submit the final assignment and 3 weeks for potential resit time.\nIn case you prefer to use the 8 weeks in a different way, please agree with your tutor during your first exchange.","nie","áno"]
["MG002","Maastricht Graduate School of Governance","Impact Evaluation of Policies and Programmes: Estimation and Analysis of Causal Impacts","Online",38,54,"2020-08-10","2020-10-02","500 EUR",null,"https://www.merit.unu.edu/training/online-courses/impact-evaluation/","Audiovisual lessons will be provided together with datasets and step-by-step analysis guides to using various impact evaluation techniques in Stata software. Lessons and case studies will give participants a knowledge base to help them understand the applicability of methods to a given set of circumstances. The final assignment/exam, will put the student’s newly acquired skills to the test by presenting her/him with a dataset and the task to perform a mock impact evaluation. Interested students should have intermediate knowledge of statistical analyses or econometrics. For example, they should already know how to obtain descriptive statistics, conduct t-tests and basic regression analysis.  They should also be familiar with the Stata data processing and data analysis software.","Prerequisites: A Master degree (or equivalent) in Social Sciences. Knowledge in econometric analysis. Basic understanding of impact evaluation purposes and methods.\n **Please note that the course is a follow up to our “Introduction to Impact Evaluations of Policies and Programmes” course. That course contains materials on when to do an impact evaluation, what it allows you to conclude, and what forms of evaluation exist. It does not include materials or exercises in which you will do an impact evaluation yourself. The online course “Impact Evaluation of Policies and Programmes Estimation and Analysis of Causal Impacts” is designed as a follow-up to this course and offers exercises in how to do an econometric impact evaluation. In case you lack basic understanding of what an impact analysis is or how to interpret impact analysis outcome data, we recommend you to take the introduction course first.Upon registration, you will be enrolled for 8 weeks, including 1 week to access the platform and become familiar with the materials, 4 weeks of coursework, 1 week to submit the final assignment and 3 weeks for potential resit time.\nIn case you prefer to use the 8 weeks in a different way, please agree with your tutor during your first exchange.","nie","áno"]
["TI291","Timberlake Consultants","Causal Inference using Stata ","Online",1,1,"2020-08-10","2020-08-10","235 GBP","2020-08-08","https://www.timberlake.co.uk/courses/causal-inference-using-stata-online.html","This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata. \n\nThe course assumes limited statistical knowledge and only some experience of using statistical software. The participants will be introduced to Stata and causal inference using practical examples. \n\nThe fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques. Then, the participants will be introduced to the main data analysis tools related to regression, including linear and logistic regression, local polynomial regression, and related machine learning approaches. \n\nParticipants will apply these methods to specially chosen datasets using data from economics and medical research. Participants will learn about quasi-experimental methods (via simulation of bias and variance properties, and hands-on examples) for propensity score matching and reweighting, panel methods including difference-in-difference designs, instrumental variables, and regression discontinuity.\n","Apply and pay before 9 August 2020",null,null,2]
["CL018","University College London (UCL)","Statistical Thinking and Data Analysis: an Introduction (Summer School)","Londýn, Veľká Británia",5,5,"2020-08-10","2020-08-14","1500 GBP (1730 EUR)",null,"https://www.ucl.ac.uk/short-courses/search-courses/statistical-thinking-and-data-analysis-introduction-summer-school","This five-day summer school will help you interpret published research and perform basic statistical analysis. You'll learn research and quantitative skills - this will enable you to make your own judgements about research results and understand their true meanings. The course will cover the following topics:\nHow to develop a sound research question\nStudy design, sampling and confounding\nTypes of data\nGraphical displays of data and results\nSummarising numeric and categorical data\nQuantifying differences and associations between groups\nHypothesis testing\nConfidence intervals and p-values\nParametric and non-parametric statistical tests\nBootstrapping\nIntroduction to regression","The standard price is £1,500.\nAn early bird price of £1,200 is available for bookings made by 13 March 2020.\nThe fee includes:\na welcome pack\nprinted course materials\nrefreshments and lunches\nsocial events\nThe fee doesn't cover accommodation, which you'll need to arrange yourself.","nie","nie"]
["UN283","University of Copenhagen","Market access for pharmaceutical products - trends and challenges","Kodaň, Dánsko",5,5,"2020-08-10","2020-08-14","2680 EUR + Danish VAT","2020-05-31","https://copenhagensummeruniversity.ku.dk/en/course/market-access/","On the course, you will increase your capacity to understand and deal with crucial Market Access issues. You will learn about key trends in Market Access, how Market Access decisions are made, and how these decision-making frameworks affect evidence-based requirements for new health care interventions.\n\nYou will:\n\nAcquire a basic market access vocabulary\nGet an overview of the key challenges involved in Market Access\nIdentify the key stakeholders and their influence on the drug reimbursement and prescription process in some of the most important markets (e.g. USA, UK, Germany, Italy and France)\nGain an understanding of payers’ perspectives of key markets and of new reimbursement models impacting Market Access\nIntegrate skills enabling you to demonstrate product value\nDiscuss new aspects of Market Access like digital health and Value-Based Health Care","The price includes tuition, course material and all meals during course hours.\nParticipants must:\nHold a relevant bachelor degree or equivalent\nHave a minimum of 2 years of relevant job experience\nBe proficient in English\nAn optional examination is available.","nie","nie"]
["UN284","University of Copenhagen","Applied machine learning and big data analysis","Kodaň, Dánsko",5,5,"2020-08-10","2020-08-14","2680 EUR + Danish VAT","2020-05-31","https://copenhagensummeruniversity.ku.dk/en/course/applied-machine-learning-and-big-data-analysis/","After the course you will:\n\nBe able to set up a basic Machine Learning Analysis from beginning to end: from retrieving and cleaning the data, to setting the information level, extracting patterns and finding outliers, to curating the necessary data.\nGet acquainted with a number of advanced tools for data cleaning, statistical analysis of very large datasets, data stream analysis, finding patterns and outliers in Big Data, collecting data from instruments and devices (e.g. internet of things (IoT)) and for using hardware systems design for efficient handling and analysis of Big Data.","The price includes tuition, course material and all meals during course hours.","nie","nie"]
["UN285","University of Copenhagen","Deep Learning","Kodaň, Dánsko",5,5,"2020-08-10","2020-08-14","2680 EUR + Danish VAT","2020-05-31","https://copenhagensummeruniversity.ku.dk/kursus/deeplearning/","By completing the course, you will be able to set up and use basic deep learning techniques. You will learn how to use deep convolutional neural networks and recurrent neural networks for image, text, and time series analysis tasks. You will also become acquainted with advanced tools and become familiar with using appropriate computational resources to train and apply deep learning models.\n\nThe course will also teach you the theoretical foundations of deep neural networks, which will provide you with the understanding necessary for adapting and successfully applying deep learning in your own applications.","Data analysis and programming experience required. The price includes tuition, course material and all meals during course hours.","nie","nie"]
["GE215","GESIS – Leibniz Institute for Social Sciences","Applied Systematic Review and Meta-Analysis","Online",3,3,"2020-08-12","2020-08-14","240 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xB8755441D3EA488BABF4223708343586","Participants will find the course useful if: They are planning to or currently working on a Master/PhD thesis, or a scientific publication in social sciences or survey methodology using research synthesis methods (systematic review or meta-analysis).They want to gain a better understanding of the pros and cons of the method when evaluating meta-analytical results. However, in this course participants are encouraged to work on their own projects and perform all the different steps of systematically synthesising evidence for their research problem. By the end of the course participants will be able to: define a review question and understand how to develop a review protocol and the key stages of the systematic review process, develop a search strategy to identify relevant studies for a specific review question, understand how to conduct a comprehensive literature search, apply eligibility criteria to identify relevant studies, understand how to perform a meta-analysis and how to present the results of a meta-analysis, conduct a basic meta-analysis and meta-regressions using the free software package R and R's metafor package.","Prerequisites: Participants are expected to have a working forthcoming project that necessitates knowledge in systematic reviews or meta-analyses. Participants are expected to have a good working knowledge of statistics at an undergraduate level, e.g. statistical inference (standard error, confidence interval), bivariate statistics (correlation coefficient, mean differences, odds ratio) as well as a basic understanding of (linear) regression analysis and ANOVA. Participants are interested in any subtopic in social research or survey methodology. Participates are expected to install R, and preferably RStudio, as well as the metafor package, on their computers. Please see the “Software and Hardware Requirements” section below for more information.","nie","nie",2.5]
["LO238","London School of Economics and Political Science (LSE)","Regulation: Theory, Strategy, and Practice","Online",49,71,"2020-08-12","2020-10-21","2 200 GBP","2020-08-04","http://www.lse.ac.uk/study-at-lse/Online-learning/Courses/Regulation-Theory-Strategy-and-Practice","As the regulatory landscape continues to evolve, a sound understanding of the field is of equal value to those who work within regulatory organisations and those who are subject to regulation.\n\nThe LSE Regulation: Theory, Strategy, and Practice online certificate course offers an engaging, multidisciplinary look at the topic of regulation. You’ll engage with a cross-sectoral, contextualised approach to learning that will enable you to think critically about the regulatory environment as a whole. As a business leader, this will empower you to address regulatory change and its potential challenges, and in turn enhance your performance. Those working within the regulatory space will gain the knowledge and frameworks to critically examine and design regulatory systems and responses.\n\nThe course aligns theory with the real world as it considers regulation through a practical lens, while still drawing on research-based academic material from LSE Law – one of the world's top law schools with an international reputation for the quality of its teaching and legal research.\n\nOver eight weeks, you’ll unpack the different drivers of regulation and learn how to improve accountability in regulation through transparency and public participation. You’ll also examine transnational regulation and the opportunities and challenges it brings as well as the links between risk and regulation."]
["IB001","Imperial College Business School","Fintech Pogramme","Londýn, Veľká Británia",2,2,"2020-06-01","2020-06-02","2950 GBP (3400 EUR)",null,"https://www.imperial.ac.uk/business-school/executive-education/open-programmes/fintech-innovative-banking/","This immersive two-day Imperial Fintech course develops a hands-on understanding of the different elements of fintech and how they are disrupting financial and banking sectors. The programme introduces participants to the origins of banking and explores how digital transformation has remodelled the sector, creating alternative finance models and a new wave of digital banks.\n\nParticipants will gain insights into the different elements of fintech such as APIs, blockchain and machine learning, and how they can be applied to various financial and banking scenarios. Imperial College Business School finance faculty and fintech industry leaders will blend academic thinking with technological discovery to give a holistic understanding of how the fintech ecosystem operates.  ",null,"nie","nie"]
["IB002","Imperial College Business School","Digital Banking Innovation Pogramme","Londýn, Veľká Británia",3,3,"2020-06-03","2020-06-05","3490 GBP (4025 EUR)",null,"https://www.imperial.ac.uk/business-school/executive-education/open-programmes/digital-banking-course/","Drawing on the latest theories, case studies and practical examples, this three-day Imperial Digital Banking Innovation course explores the challenges and opportunities for digital transformation in the banking sector. Participants will gain a better understanding of the digital banking landscape along with key strategies, business models and approaches to innovation. \n\nYou and your programme peers will think through the key challenges, disruptors and opportunities for banks to transition to a more integrated digital process, from an internal cultural shift all the way through to an 'outside-in' customer approach.  You will have the opportunity to meet and learn from some the digital banking pioneers along the way. ",null,"nie","nie"]
["MF009","International Monetary Fund","Financial Development and Financial Inclusion (FDFIx)","online",162,233,"2020-01-12","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FDFIxOL20-107","Upon completion of this course, participants should be able to: Identify a framework for financial market development and financial inclusion, and why they matter for economic growth and development. Measure the degree of financial development and inclusion for a country or countries using a wide range of standard indicators and use benchmarking to compare a country to its peers. Identify strategies and policies to support the development of financial intermediaries and capital markets in a country, considering initial conditions and links between the financial sector and the macroeconomy. Understand the unique challenges SMEs face accessing finance; describe how financial intermediaries can better tailor their products to the needs of the SMEs. Provide standard methodologies for managing risks associated with SME lending; evaluate how government policies can improve the lending environment for SMEs and understand the role of state banks and MDBs, including their role in mitigating risks. Evaluate the benefits and costs of different financial inclusion policies and identify strategies to promote financial inclusion for households and micro-enterprises. Understand various uses of technology in the financial sector (Fintech) and how they could be used to improve the efficiency and inclusiveness of financial services without generating financial instability.","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF002","International Monetary Fund","Compilation Basics for Macroeconomic Statistics","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/CBMSxOL20-104","This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF003","International Monetary Fund","Energy Subsidy Reform (ESRx)","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/ESRxOL20-12","This online course, presented by the IMF Institute for Capacity Development and the IMF Fiscal Affairs, Middle East and Central Asia, and Asia and Pacific Departments, builds on extensive cross-country analysis and hands-on experience in design of technical assistance and subsidy reform to make recommendations on how best to reduce energy subsidies.The course introduces the concept of energy subsidies—their definition and measurement—and reviews their economic, social, and environmental implications. It also presents toolkits to assess the distributional effects of alternative subsidy reform scenarios and to design a fuel pricing mechanism. Finally, the course reviews what works best in energy subsidy reform and illustrates successes and failures in terms of particular countries.ESRx was originally designed as a 4-week course with a 6-8 hours weekly workload.","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in."]
["MF004","International Monetary Fund","Financial Market Analysis (FMAx)","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FMAxOL20-09","This online course, presented by the Institute for Capacity Development, introduces participants to the fundamentals of financial analysis that are in the toolkit of policy makers. These tools are used to study the characteristics of various financial instruments and their pricing, analyze portfolios of assets, gaining familiarity with the basics of risk management. Mastery is essential for participants who wish to participate in more advanced and policy-oriented IMF courses in financial or macrofinancial areas. The FMAx course covers, among other topics, the pricing of fixed-income securities and equity; the term structure of interest rates; portfolio allocation and diversification; and an introduction to risk management.","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF005","International Monetary Fund","Financial Programming and Policies, Part 1: Macroeconomic Accounts & Analysis (FPP.1x)","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-1xOL20-05","This online course, presented by the Institute for Capacity Development, explains the basic skills required to conduct financial programming; the principal features of the accounts of the four main sectors that comprise the macroeconomy (real, fiscal, external, and monetary); and how they relate to each other. For each sector, the course presents the accounting framework, interpretations of variables and indicators from these accounts, and basic analysis of the accounts.","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF006","International Monetary Fund","Financial Programming and Policies, Part 2: Program Design (FPP.2x)","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-2xOL20-105","This online course, presented by the Institute for Capacity Development, builds on the FPP.1x course to expand participants’ understanding of the design and application of macroeconomic and financial policies. It presents simple forecasting methods for each macroeconomic sector, explains the baseline assumptions for the diagnosis of macroeconomic performance, and demonstrates the preparation of a macroeconomic adjustment program for a case study country.\n\n","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF007","International Monetary Fund","Macroeconometric Forecasting (MFx)","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/MFxOL20-10","This course, presented by the Institute for Capacity Development, is designed to reinforce the macroeconomic forecasting and modeling skills of participants and their use of modern econometric techniques. Lectures discuss the underlying theory and demonstrations show how to conduct empirical analyses using EViews. The course focuses on four aspects of empirical model building and forecasting:\n\ndata and model properties, such as stationarity/non-stationarity and co-integration;\ndynamic specifications, especially the use of error correction models;\nmodel evaluation, design, and simulation; and\nforecast uncertainty and policy analysis.\n","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF008","International Monetary Fund","Public Sector Debt Statistics (PSDSx)","online",160,230,"2020-01-15","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/PSDSxOL20-101","This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users—in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses. ","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF010","International Monetary Fund","RA-GAP - Tax Gap Analysis (VGAPX)","online",243,350,"2020-05-01","2021-04-15",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/VGAPXOL20-108","This online course, presented by the Fiscal Affairs Department, provides instruction on how to prepare and execute VAT gap estimation model (VGEM) of the IMF’s Revenue Administration Gap Analysis Program (RA-GAP).","Apply by 10 March 2021\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF011","International Monetary Fund","Public Financial Management (PFMx)","online",254,365,"2020-05-01","2021-04-30",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/PFMxOL20-113","Upon completion of this course, participants should be able to: Understand why PFM is an important tool to implement public policies. Describe and analyze the budget cycle, and its main components. Understand a simple medium-term budget framework, a cash management plan, and a public investment management reform strategy. Recognize tools for effective management of fiscal risks, components of fiscal transparency, reliable fiscal reports, and internal and external audits. Identify issues relevant to the prioritization and sequencing of PFM reforms, and the challenges faced in implementing such reforms Recognize how civil society, public participation, and supreme audit institutions keep governments accountable. Appreciate the role of local conditions and political institutions in designing and implementing reforms.","Apply by 1 April 2021\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF012","International Monetary Fund","Model-Based Monetary Policy Analysis and Forecasting (MPAFx)","online",79,111,"2020-05-13","2020-08-31",null,null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/MPAFxOL20-114","Upon completion of this course, participants should be able to: Explain the key building blocks of a canonical semi-structural QPM. Interpret the key model equations from a macroeconomic point of view. Implement a simple QPM using a specialized software for macroeconomic modelling. Distinguish the key elements of a QPM in a state-space form (i.e. shocks, observable and unobservable variables, measurement and transition equations, steady-state parameters, equation coefficients). Identify necessary codes for data transformation, filtration and evaluation of the QPM properties. Apply the basic IRIS Toolbox functions for solving the model. Create output reports using model codes. Develop a basic calibration of the QPM.","Apply by 20 July 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["GE218","GESIS – Leibniz Institute for Social Sciences","Survey Sampling and Weighting","Online",5,5,"2020-08-17","2020-08-21","600 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0x02FA7D1DBA1C4EA0AD627DF10B9F2CE8","This practical course will cover the process of survey sampling, weighting and estimation. This includes a) methods of sample selection, b) methods of weighting including design weighting, nonresponse weighting and poststratification techniques, and c) methods of parameter estimation for complex sample survey data. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. Prior knowledge in how to use Stata is recommended.","Introductory course in statistics. No prior knowledge of sampling theory is assumed.\nPrior knowledge in Stata is required for this course.\nBasic understanding in survey methodology and how to handle survey data.","nie","nie",2.5]
["GE219","GESIS – Leibniz Institute for Social Sciences","Designing, Implementing, and Analyzing Longitudinal Surveys","Online",5,5,"2020-08-17","2020-08-21","600 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xA554036445134148AC7AE351EC469F87","The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\nA review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put.\nKey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes.\nImportant aspects of designing a questionnaire and measurement for longitudinal studies, particularly for capturing micro-level change\nThe impact of non-response and attrition in a panel, and adjustments such as weighting and imputation given that missing data patterns differ between waves.\nAn introduction to important analysis considerations and methods when using a longitudinal survey design.\nIn addition, each morning time will be available in a computer lab for exercises for practical application of these methods and an opportunity for more interaction with the instructors.","participants should have basic knowledge of survey methodology from a cross-sectional perspective, in particular with respect to survey design, instrument development, and survey implementation\nbasic knowledge of statistics and statistical modelling (i.e., regression) and of a statistical software (Stata or R).","nie","nie",2.5]
["GE220","GESIS – Leibniz Institute for Social Sciences","Mixed Methods and Multimethod Research","Online",5,5,"2020-08-17","2020-08-21","480 EUR","2020-07-08","https://training.gesis.org/?site=pDetails&child=full&pID=0xB9A0C0556EC94063A6171CC5D5946F0E&subID=0xD5A4BEE533A8490D8070B61A44F35498","This course deals with mixed-methods and multimethod research (MMR) in the social sciences. We will discuss the broader understanding of combining qualitative and quantitative methods (mixed methods) and the narrower approach of nested analysis. The course aims to reflect the diversity of MMR studies in the discipline to accommodate participants' projects. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.The goal of the course is to understand the different varieties in which MMR can be done. We discuss the unique advantages and methodological and practical challenges confronted in mixed-method research.Topics include the variety of mixed-method designs that are available; the use of concepts in the qualitative and quantitative analysis, case selection for qualitative research, the compatibility of theoretical expectations in the qualitative and quantitative analysis. The discussions are illustrated with examples from different fields of political science. By the end of the course, participants will able to realize their own mixed-methods study in a systematic manner, and to critically evaluate published MMR studies.","Prerequisites: Basic knowledge of the two (or more) methods that participants want to apply in their projects. Familiarity with meaning and standards of causal inference and causal explanation.","nie","nie",2.5]
["IT004","International Tax Center ITC Leiden","Comparability Analysis","Leiden, Holandsko",15,19,"2020-03-09","2020-03-27","2500 EUR",null,"https://www.itc-leiden.nl/en/itc-leiden-2019-2020-adv-llm-single-courses","This course deals with the comparability analysis which represents a core element of transfer pricing\nand involves both the search for comparables (the so-called economic analysis) and the analysis of the\ntaxpayer’s-controlled transaction. The course starts with an introduction to those elements of\neconomics, accounting and statistics that provide the key knowledge for properly performing the\ncomparability analysis. The focus of the course is on Chapter III of the OECD TP Guidelines. The\nstandard practices applied by practitioners and tax authorities will be examined through an\nexploration of the theoretical framework and through cases analyzed in workshops on the use of\ndatabases and the application of transfer pricing adjustments.","A 10% discount applies if at least 6 weeks of Transfer Pricing courses (applicable for any combination of Basic, Advanced and Specialized Focus courses) are registered for by the same person. Tuition fees should be receivied by ITC Leiden 30 days before the first day of the course.","nie"]
["IT005","International Tax Center ITC Leiden","Intangibles and Cost Contribution Arrangements","Leiden, Holandsko",12,19,"2020-04-13","2020-05-01","2500 EUR",null,"https://www.itc-leiden.nl/en/itc-leiden-2019-2020-adv-llm-single-courses","This course deals with the transfer pricing aspects of intangibles and cost contribution arrangements (CCAs). This core subject of transfer pricing is extensively analyzed on the basis of Chapters VI and VIII of the OECD TP Guidelines. The standard practices applied by practitioners and the tax authorities will be examined through an analysis of the theoretical framework and through workshops in which case law on intangibles, the use of databases and the determination of buy-in and buy-out payments will be on intangibles, the use of databases and the determination of buy-in and buy-out payments will be analyzed ","A 10% discount applies if at least 6 weeks of Transfer Pricing courses (applicable for any combination of Basic, Advanced and Specialized Focus courses) are registered for by the same person. Tuition fees should be receivied by ITC Leiden 30 days before the first day of the course.","nie"]
["IC009","International Training Centre","E-LEARNING COURSE ON MEASURING SKILLS MISMATCHES","Online",14,19,"2020-08-17","2020-09-04","TBA","2020-07-27","https://www.itcilo.org/courses/e-learning-course-measuring-skills-mismatches","Using a step-by-step approach, this course aims to equip national and international stakeholders with the necessary competencies to measure skills mismatches and imbalances from both the demand and supply sides. The course will highlight the latest guidelines developed by the ILO with regard to measuring skills mismatches, while also emphasizing the SDG and the decent work indicators framework.",null,"nie","nie"]
["IC010","International Training Centre","SUMMER E-ACADEMY ON THE FUTURE OF WORK","Online",5,5,"2020-08-17","2020-08-21","1480 EUR","2020-07-31","https://www.itcilo.org/courses/summer-e-academy-future-work","The world of work looks a little different every day. These changes - driven by technological innovation, demographics, climate change, and globalization - are unprecedented in their scale, speed and depth. They are already profoundly reshaping the ways in which people work and live. An entire generation is ready to innovate for the work they deserve. Are you in?","The Summer Academy has a duration of 1 week: from 17-21 August 2020. Participation in the Summer E-Academy requires 7 hours of study per day during the period from 17-21 August. Participants will be required to complete a set of individual assignments in order to receive the Certificate of Achievement. The estimated time required to complete the individual assignments is 25 hours. The deadline for the completion of the assignments is 31 August 2020.","nie","nie"]
["SU002","Stanford University","Introduction to Statistics","Online",1,1,"2020-08-17","2020-08-17","400 USD","2020-08-07","https://continuingstudies.stanford.edu/courses/liberal-arts-and-sciences/introduction-to-statistics-icme-workshop/20194_WSP-361","Introduction to Statistics is one of ten workshops included in Fundamentals of Data Science, a series of one-day workshops offered by the Stanford Institute for Computational and Mathematical Engineering (ICME), provides an introduction to multiple aspects of data science for those who are new to the field and those seeking to broaden their education and skills in data science. Students can sign up for one workshop, or several throughout the week. Students who complete four workshops will qualify for the Stanford ICME Summer Workshops Certificate of Completion. "]
["IP013","ictPRO","Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty","Brno, Česko",3,3,"2020-08-19","2020-08-21","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL.",null,"nie","len v prípade záujmu"]
["SI006","SIdE (Società Italiana di Econometria) ","Panel Data Econometrics: theory and applications","Bertinoro, Taliansko",5,7,"2020-08-23","2020-08-29","2 300 EUR","2020-04-18","https://www.side-iea.it/events/courses/panel-data-econometrics-theory-and-applications-2020","Nowadays panel datasets, intended as both time-series cross-sectional data (CSTS) and multilevel data with observations at higher- and lower-levels, permeate the empirical research on many topics, going from classical economics towards behavioral and political economy. The aim of the course is to provide an overview, both methodological and applied, of econometric models for panel data, where observations are available at least at two dimensions. During the course, to ease the comprehension and to introduce important topics, N will indicate individuals (cross-sections) and T will denote temporal periods (time-series). The first part of the course relates to micro panel data (where N is larger than T). After introducing the classical fixed and random effects models with emphasis to their pros and cons, we will discuss about endogeneity of explanatory variables, intended both as correlation with individual heterogeneity (the heterogeneity bias) and as correlation with idiosyncratic shocks (due to simultaneity, measurement errors, dynamics). The instrumental variables estimator, such as the Generalized Method of Moments (GMM), is at the core of this part. The second part of the course relates to macro panel data (where T is larger than N). The main issues will be non-stationarity and cointegration, analyzed and discussed in the light of parameters’ heterogeneity and cross correlated effects. At each step of the course, the methodologies will be accompanied by hands-on empirical applications with an econometric software. At the end of the course, participants will be able to critically evaluate the empirical literature based on panel data, and to model and estimate their own issue of interest, according to the problems at hand: static versus dynamic approaches, heterogeneity and clustering, exogeneity versus endogeneity of covariates, GMM, unit roots and long/short run relationships.","V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€.","áno","nie"]
["IC011","International Training Centre","INTRODUCTION TO GENDER-RESPONSIVE BUDGETING IN PUBLIC INSTITUTIONS","Online",38,54,"2020-08-24","2020-10-16","995 EUR","2020-08-07","https://www.itcilo.org/courses/introduction-gender-responsive-budgeting-public-institutions","The online training programme will introduce participants to the operating principles and most commonly used strategies and tools to integrate a gender dimension in budgetary processes. Starting with the basics of GRB through an analysis of the budgeting cycle, the course will discuss how national and local commitments on gender equality can (and should) be supported through budgetary priority setting in order to achieve de-facto gender equality as well as effective use of budget funds. The training will also cover different examples and case studies to show variety of GRB approaches around the world. The main contents that will be discussed are: - Macroeconomics: why does gender matter? - Gender-responsive budgets: principles and definitions - GRB and the budget cycle framework: key steps and outputs - Tools for GRB: an overview - GRB as a tool for a good governance - Tools for GRB: focus on selected experiences - Stakeholders and partnerships for successful GRB initiatives",null,"nie","nie"]
["PT018","PTV Group","Introduction to macroscopic network modelling","Online",3,3,"2020-08-24","2020-08-26","1566 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","This course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract.The PTV Visum introductory course addresses to transport planners with academic professional knowledge in the fields of transport planning and engineering or with practical experience in traffic and transport expertises. To specialist engineers, this training course provides an introduction into the PTV Visum practice for efficient processing and evaluation of traffic studies by means of a standard software.\n\n",null,"nie","nie"]
["SI007","SIdE (Società Italiana di Econometria) ","Bayesian Multivariate Models and Forecasting in Economics and Finance","Benátky, Taliansko",5,5,"2020-08-24","2020-08-28","1 500 EUR","2020-04-18","https://www.side-iea.it/events/courses/bayesian-multivariate-models-and-forecasting-economics-and-finance-2020","The course is advanced and covers state-of-the-art techniques and recent developments in Bayesian Multivariate Models, for structural analysis and forecasting, nonparametric methods and forecast combinations with a broad range of applications in economics and finance. The methods introduced in the lectures will be illustrated with hands-on applications in MATLAB.","V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€.","áno","nie"]
["SH006","Swiss School of Public Health","System analytics. Data-driven decision making made easy","Online",3,3,"2020-08-24","2020-08-26","800 CHF","2020-08-16","http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_csa/","By the end of the course participants will: Be familiar with the concepts, methods and applications of systems modelling and simulation in the context of public health; Be able to define and describe the modelling methods, including their appropriate use for answering different questions; Understand the value of systems modelling and simulation in the global health toolkit; Be able to competently interact with / run models using off the shelf software; Be able to build a simple prototype model; Understand the value of participatory approaches to model development.",null,"nie","nie"]
["SH007","Swiss School of Public Health","Applied health economics for policy design and evaluation","Online",1,1,"2020-08-24","2020-08-24","300 CHF","2020-08-16","http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_caecon/","This course is designed to provide insight into: the nature of policy challenges, including trade-offs and the need for priorisation, health system financing and payment arrangements\n– measurement of the quality of health care and use of patient reported outcomes, challenges of measuring multi-morbidity and caring for people with several long term conditions, the geographical planning of health care services, the measurement of inequality in health care needs and utilisation.","During the course we will tackle the challenges of priority setting, consider options for financing universal health coverage, assess funding arrangements for health care providers and methods to evaluate provider performance. We will consider patient reported outcome measures, and how these can be used to inform policy, practice and patient choice. We will learn how to assess the utilisation and costs of care of individuals and how this information can be used to address the policy challenges of caring for people with multiple long term conditions. We will consider hospital configuration and bed modelling to assess how many hospital beds are needed and where should they be. We shall discuss the challenges associated with comparing health system performance. Participants are introduced to variety of evaluative techniques and statistical and econometric methods as the course progresses.","nie","nie"]
["KI215","Kiel Institute for World Economy","Topics in International Macroeconomics and Finance","Kiel, Nemecko",3,3,"2020-02-24","2020-02-26","1800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/topics-in-international-macroeconomics-and-finance-matteo-maggiori/",null,"There is no application deadline, but early application is recommended. Student rate EUR 760.","nie","nie","","","","",""]
["KI213","Kiel Institute for World Economy","Development Economics","Kiel, Nemecko",5,5,"2020-04-20","2020-04-24","1800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/development-economics-christopher-udry/",null,"There is no application deadline, but early application is recommended. Student rate EUR 760.","nie","nie",null,"","","",""]
["KI214","Kiel Institute for World Economy","Trade Policy Analysis with Gravity Models","Kiel, Nemecko",4,5,"2020-05-04","2020-05-08","1800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2019-2020/trade-policy-analysis-with-gravity-models/",null,"There is no application deadline, but early application is recommended. Student rate EUR 760.","nie","nie","","","","",""]
["LO231","London School of Economics and Political Science (LSE)","Global Macroeconomic Challenges","Londýn, Veľká Británia",5,5,"2020-06-08","2020-06-12","6,295 GBP",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/economics/global-macroeconomic-challenges","This executive course will guide you through an examination of the key events and current policy debates that are shaping the world economy. It is designed to provide you with the analytical tools required to understand the logic and implications of policy choices. This course will offer a mix of lectures and student-led discussions involving LSE faculty and high-profile external speakers.","Includes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days."]
["LO235","London School of Economics and Political Science (LSE)","Regulation","Londýn, Veľká Británia",5,5,"2020-06-08","2020-06-12","3,995 GBP (4610 EUR)",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/regulation","The course is of great value whether you work within a regulatory organisation, or are somebody who is subject to regulation. Developing an understanding of how to frame issues in regulation will enable you to enhance your performance and your competitive advantage in the commercial context.\n\nCase studies, presentations, group discussions and problem solving activities are all used so that you will come away with strategies to lower your costs and enable you to design, or make the case for, efficient regulatory systems and responses.","Tuition Fee: £3,995\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","nie"]
["LO237","London School of Economics and Political Science (LSE)","Finance for Exacutives","Londýn, Veľká Británia",5,5,"2020-06-08","2020-06-12","6,295 GBP (7260 EUR)",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/finance/finance-for-executives","This fast-paced, highly interactive course combines case studies, lectures, exercises, spreadsheet modelling and classroom discussions to explore the most useful tools of corporate finance. These tools include, but are not limited to, corporate financial analysis and forecasting, capital budgeting, and project and company valuation. Every day of the programme introduces new tools and concepts, explores and evaluates them, and immediately applies them to real-world case studies.","Tuition Fee: £6,295\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","nie"]
["LO232","London School of Economics and Political Science (LSE)","Behavioural Economics and the Modern Economy","Londýn, Veľká Británia",5,5,"2020-06-15","2020-06-19","6,295 GBP (7260 EUR)",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/economics/behavioural-economics-and-the-modern-economy","Behavioural economics has revolutionised economics in the past thirty years by replacing the standard assumptions of perfect rationality and unbridled self-interest with more psychologically realistic alternatives. Behavioural economists believe that economists have traditionally acted as if humans are smarter and harsher than they actually are. More importantly, the departures from rationality and selfishness are systematic – the scientific goal of behavioural economics is to understand how people actually behave.  \n\nThe course will draw on psychological/experimental research as well as formal behavioural economic models.","Tuition Fee: £6,295\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","nie"]
["LO233","London School of Economics and Political Science (LSE)","Climate Change: Economics and Governance","Londýn, Veľká Británia",5,5,"2020-06-15","2020-06-19","3,995 GBP (4610 EUR)",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/climate-change-economics-and-governance","This multi-disciplinary five-day course provides an in-depth overview of the economics and governance of climate change, and the risks and opportunities they present for a range of organisations.","Tuition Fee: £3,995\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","nie"]
["SH008","Swiss School of Public Health","NCD control in a global health perspective: Public health and systems strengthening approaches","Online",3,3,"2020-08-24","2020-08-26","800 CHF","2020-08-16","http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_cncd/","At the end of the course participants will be: Know effective, efficient, equitable and sustainable approaches for NCD prevention and control, with a focus on middle- and low-income countries, Be aware of major cost-effective and affordable public health interventions for the prevention and control of NCDs and relate them with multisectoral interventions and health system strengthening, Be aware of the most critical elements needed to strengthen health care services for the delivery of cost effective management of NCDs, Identify the rationale, benefits and resources needed for implementing, respectively, the “public health” approach versus the “health services” approach for the prevention and control of NCDs, Know the key elements of the global agenda for NCDs at the World Health Organization and United Nations levels."]
["SH009","Swiss School of Public Health","Policy Options on Mental Health","Online",3,3,"2020-08-24","2020-08-26","800 CHF","2020-08-16","http://www.ssph-lugano-summerschool.ch/2020_cmh/","Good mental health policy will help people, organizations, and governments deal with the novel coronavirus and meet the Sustainable Development Goals. The mental health challenges we face are both  immediatley and long term and mental health is now conceived as a public good, crucial to attain economic growth, social inclusion, and environmental protection. The prominence of social determinants of mental health and a shift from diagnosis to a dimensional approach provide unique opportunities for mental health promotion, and prevention. Now more than ever, it is imperative that mental health policies align with the SDGs, and implementation efforts embrace and promote multisectoral approaches and actively involve stakeholders.","Prerequisites: None specific.\n\nPrevious or current involvement and/or research in mental health projects and programs at all levels of health and social systems is an asset."]
["TS011","Tstat","VI SUMMER SCHOOL – PROGRAM EVALUATION IN ACTION","Florencia, Taliansko",5,6,"2020-08-24","2020-08-29","3 900 EUR","2020-08-01","https://www.tstattraining.eu/training/program-evaluation-action/","Providing effective evaluation of economic, social and public health programs has become an increasingly important requirement for both public and private institutions. Program evaluation allows us to assess the effectiveness of a specific program or intervention, and to use the subsequent results to identify how we can improve the future implementation of the program. As such program evaluation can be an extremely valuable tool for managers and evaluators looking to improve the quality of their programs and improve participation outcomes for the individuals involved. TStat’s residential summer school offers participants a unique opportunity to acquire the requisite toolset, both theoretical and applied, for the correct implementation of effective modern micro-econometric methods for implementing evidence-based program evaluation using Stata. As such, the program has been developed to encompass both: standard statistical methods of program evaluation: regression-adjustment, matching, selection-models and difference-in-differences methodologies; and the more advanced econometric techniques: for example, instrumental variables, synthetic control method, and regression discontinuity design.","Apply by 1 August 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nPlease note that a non-refundable deposit of €100.00 for full-time students and €250.00 for Academic and Commercial participants, is required to secure a place and is payable upon registration. The number of participants is limited to 15. Places will be allocated on a first come, first serve basis.\nCourse fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the summer school; ii) a temporary licence of Stata valid for 30 days from the day before the beginning of the school; iii) half board accommodation (breakfast, lunch and coffee breaks) in a single room at the CISL Studium Centre or equivalent (6 nights for entire school, 5 nights for Modules B). Participants requiring accommodation the night of the final day of the school, are requested to contact us as soon as possible.\n\nTo maximize the usefulness of this summer school, we strongly recommend that participants bring their own laptops with them, to enable them to actively participate in the empirical sessions.\n\n"]
["TS014","Tstat","SUMMER EDITION – STATA IN JUST ONE DAY!","Online",2,2,"2020-08-24","2020-08-25","445 EUR","2020-08-04","https://www.tstattraining.eu/training/stata-just-one-day-ol/","“Stata in just one day” is a reduced version of our “Up and Running in Stata” course. The course covers everything from the very basics, in order to get one up and running in Stata, through to an overview of the Stata commands available for preliminary data analysis, data management, importing and exporting data formats and the creation of graphs in Stata.\n\nIn contrast to our Up and Running in Stata course however, it does not include specific applied Lab based exercises at the end of each individual session. Despite this, participants are strongly encouraged to bring their own laptops with them to the workshop, in order to be able to replicate in real time the commands being illustrated by the course leader.\n","Apply by 4 August 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nThe number of participants is limited to 8. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled.\n\nCourse fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the course; ii) a temporary licence of Stata valid for 30 days from the day before the beginning of the school).\n"]
["PT011","PTV Group","Introduction to public transport modelling","Online",1,1,"2020-08-27","2020-08-27","522 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0102/","This training course serves as the basis for the use of the basic public transport functionality in PTV Visum. Users who are interested in detailed public transport modeling are recommended to attend the two-day Public Transport basic training course which includes both supply and demand.",null,"nie","nie"]
["SH010","Swiss School of Public Health","Generating Demand for better public health goods and services: A systems and consumer centered approach","Online",2,3,"2020-08-27","2020-08-29","800 CHF","2020-08-16","http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_cdg/","The SDG’s, the changes in systems thinking towards consumer environments and the growing realization that information based approaches do not work efficiently in changing health and health-related behavior – mean we need a new training agenda. The 3-day course will focus on the following topic areas:\n\nUsing behavioral science and consumer insights to create demand for better public health goods and services.\nWhy should you and how do you follow a social marketing approach?\nDesigning consumer centric, sustainable business models\nWhy putting on your business hat is important when thinking of improving nutrition and PH goods and services at scale?\nLeveraging private-public engagement for consumer centered health outcomes\nWith what opportunities and challenges and how to manage them?\nExamples will be used throughout the course that come from high, middle, and low-income countries regarding a variety of topics including nutrition, immunization, WASH, screening services, and more.","Preparatory work requied:\nPreparatory work before the course including recommended readings and a short assignment. (~1-5 hours)"]
["SH011","Swiss School of Public Health","Multisectoral Approaches for Health: Implications for Policy and Practice","Online",2,3,"2020-08-27","2020-08-29","800 CHF","2020-08-16","http://www.ssph-lugano-summerschool.ch/2020-programme-old/2020_cmsa/","This course provides an introductory perspective on determinants of health, equity and multisectoral approaches. Building on earlier debates on determinants of health it will discuss why multisectoral approaches and collaboration are needed to advance the Agenda 2030 health goal.  Practical examples of multisectoral collaborations will be reviewed in form of group work and case studies to provide the participants with an understanding of different models of multisectoral collaboration, their implications as well as the challenges and ways to overcome them.","No prerequisites, but the course will mostly benefit individuals working in the health sector, such as policy makers and managers, implementation researchers, people involved in development programs that have a health component"]
["CE169","Center of Excellence in Finance","Succeeding in Structural Reforms","Bled, Slovinsko",1,2,"2020-08-30","2020-08-31","0 EUR",null,"https://www.cef-see.org/20-lmr6","This regional event will look into the key success factors for making structural reforms a positive change of a specific economy. It will focus on this exploration from two complementary perspectives: developing policies based on data analysis, and creating an enabling environment for changes and reforms to succeed. It will tackle different managerial approaches and collaboration practices across institutions and sectors, and demonstrate case studies and value creation stories. Target audience: state secretaries, heads of policy and analytical departments of line ministries and ministries of finance.",null,"nie","nie"]
["NS003","NATO School","Intelligence Support to Asymmetric Warfare Course","Oberammergau, Nemecko",4,5,"2020-08-31","2020-09-04","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=1&TabId=155&language=en-US#1aid-aid","Describe Asymmetric Warfare: Given a set of parameters, the student will explain the asymmetric warfare concept, its enabling social and environmental considerations, and its potential place in the broader context of hybrid warfare, in accordance with references. Employ Analytic Methodologies to Asymmetric Warfare: Given a set of parameters, the student will employ analytic methodolgies apprpriate to providing comprehensive assessments of asymmetric threats and environments.Provide Intelligence Support to Decision Makers Regarding Asymmetric Threats: Given a set of parameters, students will provide analytic and collections support to strategic and operational level decision makers regarding asymmetric warfer threats and environments, in accordance with references .Synthesize Case Studies: Given parameters, students will be able to integrate lessons learned regarding analytic considerations, intelluigence organizational structure, and collection challenges of previous asymmetric conflicts."," NATO Unclassified. Participants: Intelligence professionals working or preparing to work at operational or strategic levels with experience in general analytic or collections experience of conventional threats. Applies to Mlitary and Civilian personnel","nie","nie",null,"","","",""]
["TS013","Tstat","Analysing Micro Data in STATA","Online",4,5,"2020-08-31","2020-09-04","2020 EUR","2020-08-10","https://www.tstattraining.eu/training/analysing-micro-data-stata-ol/","TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health.\n\nTStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: linear models, count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding sessions focus on: i) the Control Function approach for the estimation of non-linear models with endogenous continuous variables; and ii) the latest Stata commands for the estimation of Extended Regression Models (ERM), which implement Maximum Likelihood estimators capable of simultaneously treating issues of Sample Selection and the presence of both endogenous regressors and treatment variables.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course.\n","Apply by 10 August 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nThe number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will only be confirmed when at least 5 people have enrolled.\n\nCourse fees cover: teaching materials (handouts, Stata do files and datasets to used during the course) and a temporary licence of Stata valid for 30 days from the beginning of the training course.\n"]
["NS001","NATO School","NATO Intelligence Course","Oberammergau, Nemecko",3,5,"2020-06-06","2020-06-10","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=3&TabId=155&language=en-US","NATO Intelligence Organization, Committees/ Working Groups and NATO Document Hierarchy: From memory, students will describe the NATO intelligence organization, hierarchy, and fundamentals of selected NATO intelligence committees and WGs, as well as the most important NATO intelligence, CI, and security policy documents and doctrines.\n\nDirection Step of the Intelligence Cycle: From memory, the student will describe how the direction step of the intelligence cycle is conducted in NATO, including the supporting concepts, principles and procedures that are used, in accordance with references.\n\nCollection Step of the Intelligence Cycle: From memory, the student will describe how the collection step of the intelligence cycle is conducted within NATO, including the doctrine, directives, capabilities, and limitations, staff officer positions in NCS, as well as experiences from exercises/operations, in accordance with the listed references.\n\nProcessing Step of the Intelligence Cycle: From memory, students will describe how the processing step of the intelligence cycle is conducted in NATO, including some key analyst tools as well as reasons and countermeasures for intelligence failure, in accordance with listed references.\n\nDissemination Step of the Intelligence Cycle: From memory, students will describe how the dissemination step of the intelligence cycle is conducted in NATO, including existing challenges, in accordance with listed references.\n\nNATO Intelligence Networks, Supporting Systems and Transition Plans: From memory, students will describe NATO intelligence networks and support and supporting systems as well as plans for improvements, in accordance with references listed below.","NATO secret. Participants: civilian equivalents who are assigned to NATO PE/CE positions, work closely with intelligence, or national staff working on NATO intelligence issues. ","nie","nie",null,"","","",""]
["US003","University of Split","Data Analysis in R - For Social, Humanities and Biomedical Research","Split, Chorvátsko",4,5,"2020-08-31","2020-09-04","300 EUR","2020-06-01","https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/Y3BBWz1pMk-DzfbYxtt0mA/Link/STSS2020-Course-FF-8.pdf","Introduction to the basis of the R, RStudio and concept of open source packages.  Application of R in social sciences, biomedicine and humanities.Basic statistics (tables and figures), inferential and multivariate statistical procedures. Reports and writing manuscript with knitr.","Ubytovanire je možné rezervovať v internátoch univerzity. Je možné objednať si stravovanie.","nie","nie"]
["US004","University of Split","INTRODUCTION TO GIS WITH PRACTICAL APPLICATIONS - Split Summer School","Split, Chorvátsko",4,5,"2020-08-31","2020-09-04","270 EUR","2020-07-30","https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/Rb10DNatakOF5S8jtzRYDg/Link/Obrazac%20Predmeta_ENG_2020_GIS.pdf","Main topics:\n• GIS concepts\n• Overview of commercial and open source geospatial data and software\n• Geospatial analysis\n• Raster data visualisation and analysis\n• Geospatial data visualisation\n• Web GIS dissemination\nProgramme structure:","Apply by 1 July 2020"]
["US005","University of Split","Introduction to the Energy Efficiency in Buildings - Split Summer School","Split, Chorvátsko",4,5,"2020-08-31","2020-09-04","300 EUR","2020-08-24","https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/qoolLWsSMEWxXXcXxTKejw/Link/FESB-STSS2020-Course-Nižetić.pdf","Main topics:\n Analysis of thermal losses and heat gains in buildings,\n Analysis of the main energy consumers and energy systems in building facilities,\n Primary fuels used in buildings and their environmental aspect,\n Introduction to the modern energy concepts and in general methods to increase\nenergy efficiency in building facilities,\n Energy efficiency measures in buildings, i.e. their technical and economic aspect (case study)\n Introduction to the sustainable energy management in buildings,\n Introduction to the energy audit and building energy certification","Apply by 1 August 2020"]
["PA248","Paris School of Economics","EXPERIMENTAL ECONOMICS - Empirical tools and methods to investigate economic behavior","Paríž, Francúzsko",10,12,"2020-06-15","2020-06-26","2000 EUR","2020-03-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/experimental-economics/application-and-fees/","The program offers an overview of experimental methods and techniques aimed at understanding economic behavior: how to design, implement and analyze an experiment so to answer a research question","A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu","nie","nie",1]
["PA249","Paris School of Economics","CLIMATE CHANGE - Impacts, adaptation and political constraints","Paríž, Francúzsko",5,5,"2020-06-15","2020-06-19","2000 EUR","2020-03-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/climate-change/","How do we measure the impacts of climate change on economic outcomes? What are the relevant economic instruments to combat climate change in a globalized world? How can migration and trade help countries and individuals mitigate the impacts of climate change and/or disasters? How do lobbying and information acquisition influence the actual climate policies? The Climate Change program introduces participants to the cutting-edge research on the topic and familiarizes them with the relevant methods of analysis (econometric analysis, dynamic modelling).","A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu","nie","nie",1]
["PA250","Paris School of Economics","DEVELOPMENT - Inequality, social interactions and institutional dynamics","Paríž, Francúzsko",5,5,"2020-06-15","2020-06-19","2000 EUR","2020-03-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/development/","The programme allows you to gain a broader perspective on the development process based on recent academic work. But, it also expands your analytical skills by engaging critically with research questions and methodologies, which can inform policymakers and other stakeholders.","A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu","nie","nie",1]
["PA253","Paris School of Economics","MIGRATION ECONOMICS - Development impacts of migration and challenges in global labor markets","Paríž, Francúzsko",5,5,"2020-06-15","2020-06-19","2000 EUR","2020-03-31","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/migration-economics/","The program focuses on a major aspect of globalization, which is increasingly at the center of the public and policy debate. Professionals will improve their ability to critically evaluate research and gain a better understanding of the economics of migration.Migration is a major aspect of globalization and is increasingly at the center of the public and policy debate. This course aims to present frontier research on the economics of migration and to provide the tools to contribute to this field. What are the microeconomic impacts of migration and how to address the challenge of identifying them? What is the relationship between migration, other dimensions of globalization, and development? What are the public finance and demographic effect of immigration for the host countries? What are the effects of immigration on the labor market? What are the barriers to immigrants’ assimilation?","A 10% discount is offered to: Group of 5 people or more. To beneficiate from this discount, please contact us directly at summer-school psemail.eu. PSE Students & Alumni (Masters, PhD and summer school). V cene sú zahrnuté obedy.Apply by March 31, 2020* via www.pse-application.eu","nie","nie",1]
["US006","University of Split","ENVIRONMENTAL PROTECTION - Split Summer School","Split, Chorvátsko",4,5,"2020-08-31","2020-09-04","300 EUR","2020-08-18","https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/rGwtJIuEuUWL18atuKLthQ/Link/Course_KTF_Split%20Summer%20School_2020.pdf","Main topics:\n• Origin of chemical pollutants in the sea, with emphasis on its pathway from atmosphere.\n• Introduction to physicochemical and biological water treatment methods and its application.\n• Advances in membrane technologies for water treatment.\n• The role of biopolymers in obtaining environmentally friendly materials.","Apply by 1 August 2020"]
["US007","University of Split","E-Learning/ Traditional Approach to Application of Mathematics in Traffic Sciences FDEM - Split Summer School","Split, Chorvátsko",4,6,"2020-08-31","2020-09-05","300 EUR","2020-07-20","https://www.unist.hr/Portals/0/adam/SummerSchoolCourses/A41gwk5a7UqzgtYRHrGoaQ/Link/Course%20for%20WEB-Stanivuk-2020.pdf","Programme structure:\n• 5-day course\n• Sample data will be provided for practice and for final presentation\n• Every student gets lecture notes bound into a booklet, as well as a CD containing a digital version of the booklet, the current version of Y-code","Apply by 1 July 2020"]
["PT015","PTV Group","PTV Vistro - Introduction to Traffic Analysis","Karlsruhe, Nemecko",1,1,"2020-03-30","2020-03-30","481,95 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0301/","In our PTV Vistro Traffic Analysis course, you will learn how to conduct traffic studies, evaluate development impacts and optimize signals all with a single package. We work with interactive examples of intersections, corridors, networks and development scenarios.","Cena v režime Early bird. ","nie","nie"]
["PT008","PTV Group","Introduction to macroscopic network modelling","Karlsruhe, Nemecko",3,3,"2020-04-27","2020-04-29","1445,85 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","This course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract.The PTV Visum introductory course addresses to transport planners with academic professional knowledge in the fields of transport planning and engineering or with practical experience in traffic and transport expertises. To specialist engineers, this training course provides an introduction into the PTV Visum practice for efficient processing and evaluation of traffic studies by means of a standard software.\n\n","Cena v režime Early bird. ","nie","nie"]
["PT010","PTV Group","Introduction to public transport modelling","Karlsruhe, Nemecko",1,1,"2020-04-30","2020-04-30","481,95 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0102/","This training course serves as the basis for the use of the basic public transport functionality in PTV Visum. Users who are interested in detailed public transport modeling are recommended to attend the two-day Public Transport basic training course which includes both supply and demand.","Cena v režime Early bird. ","nie","nie"]
["PT016","PTV Group","Creating a macroscopic 4 step transport model","Karlsruhe, Nemecko",2,2,"2020-05-04","2020-05-05","963,92 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0109/","The standard 4-step model generally includes the steps trip generation, trip distribution, mode choice, and assignment. In Visum the variants 4-step model with sequential calculation and Nested demand model can be used. The two variants have in common that both trip generation and assignment are carried out in separate steps, either before or after calculation of the demand matrices.This two-day course will first introduce you to the various modelling methods. After describing all demand models available in PTV Visum, the course covers in detail the subjects of model segmentation, data supply, calibration and validation. The actual implementation of these subjects in PTV Visum is explained and participants practice with a training model.","Cena v režime Early bird. ","nie","nie"]
["PT014","PTV Group","Demand model Visem","Karlsruhe, Nemecko",1,1,"2020-05-06","2020-05-06","481,95 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0116/","The tour-based model Visem is a disaggregated, behavior-oriented demand model which allows the planner to include all kinds of data relating to socio-demography and traffic policy issues. The tour-based model calculates three logical work unit: Trip generation, Trip distribution and Mode choice. These three logical units are not processed separately in succession by the tour-based model, but are interlocked. Especially steps 2 and 3, Trip distribution and Mode choice are carried out simultaneous in a single procedure. In all three work units two important concepts have been implemented for the tour-based model: Calculation on the basis of groups with homogeneous behavior and activity chains.","Cena v režime Early bird. ","nie","nie"]
["PT009","PTV Group","Introduction to macroscopic network modelling","Londýn, Veľká Británia",3,3,"2020-05-26","2020-05-28","1214,50 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","This course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract.The PTV Visum introductory course addresses to transport planners with academic professional knowledge in the fields of transport planning and engineering or with practical experience in traffic and transport expertises. To specialist engineers, this training course provides an introduction into the PTV Visum practice for efficient processing and evaluation of traffic studies by means of a standard software.\n\n","Cena v režime Early bird. ","nie","nie"]
["HA101","Harvard ","Policy Design and Delivery: A Systematic Approach","Online",28,42,"2020-09-01","2020-10-12","775 USD","2020-08-13","https://online-learning.harvard.edu/course/policy-design-and-delivery-systematic-approach?delta=0","What you'll learn\nAcquire the ability to articulate the values behind policy design decisions\nAnalyze the causes and sub-causes of policy problems and make informed policy recommendations based on analysis\nEvaluate policy solutions for strategic alignment across technical, political, and organizational dynamics\nDevelop skills to diagram root causes, map theories of change, and analyze stakeholders of policy decisions\nDevelop skills to make policy recommendations","10-12 hours per week"]
["HA104","Harvard ","Evidence for Decisions: From Description to Decisions","Online",28,42,"2020-09-01","2020-10-12","775 USD","2020-08-13","https://online-learning.harvard.edu/course/evidence-decisions-description-decisions?delta=0","In Evidence for Decisions, you will harness the power of evidence and use it to understand the dimensions of a problem, measure effectiveness of policy, and update assumptions that lead to effective policymaking. You will develop skills with analytical tools for weighing tradeoffs and making decisions, and you will build a critical-thinking mindset for how evidence indicates a program is working – and when it is not.","10-12 hours per week"]
["HA105","Harvard ","Policy Design and Delivery: A Systematic Approach","Online",28,42,"2020-09-01","2020-10-12","775 USD","2020-08-13","https://online-learning.harvard.edu/course/policy-design-and-delivery-systematic-approach?delta=0","What you'll learn\nAcquire the ability to articulate the values behind policy design decisions\nAnalyze the causes and sub-causes of policy problems and make informed policy recommendations based on analysis\nEvaluate policy solutions for strategic alignment across technical, political, and organizational dynamics\nDevelop skills to diagram root causes, map theories of change, and analyze stakeholders of policy decisions\nDevelop skills to make policy recommendations","10-12 hours per week"]
["MF013","International Monetary Fund","Financial Market Analysis (FMAx)","Online",83,122,"2020-09-01","2020-12-31","0 EUR",null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FMAxOL20-09","This online course, presented by the Institute for Capacity Development, introduces participants to the fundamentals of financial analysis that are in the toolkit of policy makers. These tools are used to study the characteristics of various financial instruments and their pricing, analyze portfolios of assets, gaining familiarity with the basics of risk management. Mastery is essential for participants who wish to participate in more advanced and policy-oriented IMF courses in financial or macrofinancial areas. The FMAx course covers, among other topics, the pricing of fixed-income securities and equity; the term structure of interest rates; portfolio allocation and diversification; and an introduction to risk management.","Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF014","International Monetary Fund","Financial Programming and Policies, Part 1: Macroeconomic Accounts and Analysis (FPP.1x)","Online",83,122,"2020-09-01","2020-12-31","0 EUR",null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-1xOL20-115","This online course, presented by the Institute for Capacity Development, explains the basic skills required to conduct financial programming; the principal features of the accounts of the four main sectors that comprise the macroeconomy (real, fiscal, external, and monetary); and how they relate to each other. For each sector, the course presents the accounting framework, interpretations of variables and indicators from these accounts, and basic analysis of the accounts.","Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["SI003","SIdE (Società Italiana di Econometria) ","Introductory Econometrics","Bertinoro, Taliansko",5,7,"2020-06-07","2020-06-13","2 300 EUR","2020-04-18","https://www.side-iea.it/events/courses/introductory-econometrics-2020","The course requires a working knowledge of basic linear algebra, statistical inference and multiple linear regression model with the notation of linear algebra (matrices and vectors).Linear regression, seemingly unrelated regressions, simultaneous equations, maximum likelihood: Classical linear regression model (refresh).Elements of asymptotic theory: law of large numbers and central limit theorem (outline).Introduction to stochastic processes and Wold representation. Introduction to time series analysis.Likelihood: definition, score vector, information matrix, Cramer-Rao inequality, maximum likelihood, consistency, asymptotic efficiency.Seemingly unrelated regression equations (SURE): generalized least squares (GLS), feasible GLS, maximum likelihood (iterative GLS, hints).Simultaneous equations model: structural form and reduced form, static and dynamic solution, impact and dynamic multipliers, forecast, scenarios and economic policy. Identification: rank and order condition.Estimation: instrumental variables, limited-information methods (2SLS, LIVE, IIV)\n\n","V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€.","áno","nie","","","",""]
["SI004","SIdE (Società Italiana di Econometria) ","Financial Time Series and High Frequency Econometrics","Bertinoro, Taliansko",5,6,"2020-06-15","2020-06-20","2 300 EUR","2020-04-18","https://www.side-iea.it/events/courses/financial-time-series-and-high-frequency-econometrics-2020","Models for daily returns (based on EOD information):Modelling and forecasting the conditional mean of returns (level): ARMA and ARIMA models; Modelling and forecasting conditional variance of returns (volatility): GARCH models and their variants; Modelling and forecasting conditional covariances and correlations: Multivariate GARCH models.High frequency econometrics:Features of intra-daily data;Volatility estimation with Jumps and microstructure noise;Volatility modeling and forecasting using high frequency data;GARCH type models using realized information (Realized GARCH, HEAVY);Dynamic models for realized measures (HAR, MEM);Localized (high frequency) regressions;Realized covariances and correlations: estimation challenges and dynamic models.\nPortfolio construction and optimization:\n- Predicting time-varying expected returns; the problem of persistent regressors;\n- Estimating and predicting covariance matrices;\n- Factor models: linear observable factors specification and estimation;\n- Estimating risk premia in cross-section, Fama-McBeth regressions;\n- Portfolio optimization.\nRisk management:\n- Backtesting and Evaluation of volatility forecast;\n- Risk measures: VaR, Expected Shortfall; parametric and semiparametric approaches; conditional quantiles and expectiles.","V cene sú raňajky a obedy. Pri 2-3 kurzoch je zľava z ceny kurzu 300€.","áno","nie","","","",""]
["MF015","International Monetary Fund","Financial Programming and Policies, Part 2: Program Design (FPP.2x)","Online",83,122,"2020-09-01","2020-12-31","0 EUR",null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/FPP-2xOL20-116","This online course, presented by the Institute for Capacity Development, builds on the FPP.1x course to expand participants’ understanding of the design and application of macroeconomic and financial policies. It presents simple forecasting methods for each macroeconomic sector, explains the baseline assumptions for the diagnosis of macroeconomic performance, and demonstrates the preparation of a macroeconomic adjustment program for a case study country.","Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["MF016","International Monetary Fund","Macroeconomic Diagnostics - Online (MDSx)","Online",83,122,"2020-09-01","2020-12-31","0 EUR",null,"https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2020/MDSxOL20-118","This online course, presented by the IMF Institute for Capacity Development, is designed to build up participants’ ability to assess a country’s macroeconomic situation; it emphasizes practical tools for use in day-to-day macroeconomic analysis. The course covers assessments of the current state of the macroeconomy; the stance of fiscal and monetary policy; financial stability; and the medium-term prospects of the economy, taking into account the sustainability of public and external debt, possible misalignments of the exchange rate, and vulnerabilities arising in the different sectors.The course uses a case study to illustrate application of these tools and to show how they can contribute to the policymaking process.","Apply by 25 August 2020\nFor Online Learning (OL) courses, which are delivered through the edX platform, you will need an additional piece of information to register: you will be prompted for your edX.org username. If you do not already have a username, please go to https://courses.edx.org/register and sign up for a free account. Once you have created an account, you may complete the IMF Institute application. If you already have an edX account, your username can be found on the top right of the screen after logging in.\n\n"]
["HA102","Harvard ","Global Health Delivery","Online",53,77,"2020-09-02","2020-11-17","2200 USD","2020-08-25","https://online-learning.harvard.edu/course/global-health-delivery?delta=1","What you'll learn\nIdentify and integrate caregivers at all levels of intervention and policy design\nAnalyze the relationship between economic development and improved health outcomes\nArticulate the influence of neoliberalism on global health policy\nRecognize key stakeholders in the creation and implementation of healthcare delivery models and associated policies\nRecommend methods to adapt healthcare models from case studies","8-12 hours per week"]
["SI008","SIdE (Società Italiana di Econometria) ","Ninth Italian  Congress of Econometrics and Empirical Economics","Online",2,3,"2021-01-21","2021-01-23","60 EUR","2020-10-10","https://www.side-iea.it/events/conferences/iceee-2021","Economists, statisticians and econometricians are invited to submit theoretical and applied papers in all areas of econometrics and empirical economics for presentation at the Congress.","Konferencia"]
["LO239","London School of Economics and Political Science (LSE)","Machine Learning: Practical Applications","Online",45,64,"2020-09-02","2020-11-04","2 100 GBP","2020-08-25","http://www.lse.ac.uk/study-at-lse/Online-learning/Courses/Machine-Learning-Practical-Applications","Machine learning is becoming an increasingly important analytical tool, enabling  businesses to extract meaningful information from raw data, offering accurate analyses and complex solutions to data-rich problems. The Machine Learning: Practical Applications online certificate course from the London School of Economics and Political Science (LSE) focuses on the practical applications of machine learning in modern business analytics and equips you with the technical skills and knowledge to apply machine learning techniques to real-world business problems. \n\nDivided into two parts, the first part of the course explores how to learn from data, introducing you to the core principles of machine learning. During the second part of the course, you’ll gain an in-depth understanding of a variety of machine learning techniques that you can apply when analysing big data including regression, variable selection and shrinkage methods, classification, tree-based methods, ensemble learning, unsupervised learning, and an introduction to neural networks. Over the course of eight weeks, you’ll learn how to match a suitable machine learning technique to a particular problem to make accurate predictions and inform business decisions.\n\nUnderstand how these methods can help data scientists, business leaders, analysts, and professionals problem-solve and innovate through informed, data-driven decision-making."]
["TI293","Timberlake Consultants","Stata Programming Workshop: Introduction and Advanced ","Online",5,7,"2020-09-03","2020-09-09","450 (part I in specific dates and part 2 in specific dates) - 720 (two parts in 4 days)","2020-09-01","https://www.timberlake.co.uk/courses/stata-programming-workshop-uk-20.html","Delivered online using Zoom Webinars, this course is presented in a two part sequence and will teach Stata Programming at an introductory and advanced level.\n\nThe first part, is for Stata users, professionals and researchers from all academic disciplines, who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques. \n\nThe second part, is for users who have completed the companion course Introduction to Stata Programming and would like to use more advanced features of the Stata and Mata programming languages. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to implement new Stata commands with ado-files and egen functions. Mata programming techniques will illustrate how this language can be used to simplify and accelerate computations.\n","Apply and pay before 2 September 2020",null,null,2]
["CU002","Cranfield University","Introduction to Defence and Security","Shrivenham, Veľká Británia",5,5,"2020-09-07","2020-09-11","1050 GBP (1210 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/introduction-to-defence-and-security","The course will cover the following topics: From Policy to Operations – defence and security in the UK, A global phenomenon – the international view,UK acquisition and reform, Current and future needs and drivers, Enabling defence and security technology, Beyond technology and people – an introduction to capability engineering, Integrated partnerships or reluctant bedfellows? - the UK defence and security enterprise, National and international case studies.",null,"nie","nie"]
["IP016","ictPRO","Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty","Praha, Česko",3,3,"2020-09-07","2020-09-09","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL.",null,"nie","len v prípade záujmu"]
["LO234","London School of Economics and Political Science (LSE)","Managing Inclusive Development in Emerging Societies","Londýn, Veľká Británia",5,5,"2020-09-07","2020-09-11","3,995 GBP (4610 EUR)",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/managing-inclusive-development-in-emerging-societies","The course provides an interdisciplinary and critical approach to the theories and practices being used to address problems of governance, economic growth, equity and stability, and social inclusion in the Global South. You’ll also benefit from studying alongside practitioners from around the globe, enhancing your professional network. London is hub for international development and LSE is a world leader in this subject.\n\nUpon completion the course your ability to design, monitor and evaluate policies, programmes and projects in societies at different levels of development will be significantly increased.","Tuition Fee: £3,995\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","nie"]
["FI001","Swiss Federal Institute of Technology Zurich","Advanced Process Data Analytics Course","Zürich, Švajčiarsko",3,3,"2020-09-07","2020-09-09","2 700 CHF",null,"https://sce.ethz.ch/en/programmes-and-courses/angebot-nach-programmart/fortbildungskurse.html?polycourseId=1746","The aim of this course is to provide an overview and\nadvanced insight into data analytics and modeling\nmethodologies to for process data. Fundamental concepts to visualize high-dimensional and highly correlated process and product quality data, to identify the\nimportant process drivers as well as to forecast the\nprocess and product quality behaviour will be presented in lectures. Hands-on and brainstorming sessions\nwill be used to solve case studies from the (biopharmaceutical) industry. After the course the participants\nwill be aware of relevant techniques and literature for\nprocess data analysis and will be able to evaluate different analysis paths for a given problem.\n","A 20% fee reduction is offered if only the advanced two-day course is attended without the pre-course on the first day.The fee includes lunch. "]
["SH001","Swiss School of Public Health","Causal Inference in Observational Epidemiology","Wengen, Švajčiarsko",3,3,"2020-01-20","2020-01-22","2000 CHF",null,"https://www.epi-winterschool.org/wp-content/uploads/2019/05/WS2020_HernanZwahlen_Causal-inference-in-observational-epidemiology_description.pdf","Causal inference from observational data is a key task of epidemiology and of allied disciplines such as behavioural sciences and health services research. Commonly used statistical methods estimate association measures which cannot always be causally interpreted, even when all potential confounders are included in the analysis. In contrast, a causally explicit approach formally defines causal effects, identifies the conditions required to estimate causal effects without bias, and uses analytical methods that, under those conditions, provides estimates that can be endowed with a causal interpretation. This course presents such framework for causal inference from observational data and recent methodological developments, with a special emphasis on complex longitudinal data. The application of these methods will be illustrated using data from a synthetic HIV cohort study. The course is aimed at epidemiologists, statisticians, and other researchers who work with longitudinal observational data.\nBy the end of this short course participants will have\n• An in-depth understanding of confounding and selection bias\n• An understanding of the role and potential of different methodological approaches to overcome these problems, including inverse probability weighting, marginal structural models and nested structural models\n• Done practical data analyses implementing these methods using Stata®software.",null,"nie"]
["SH002","Swiss School of Public Health","Advanced Methods in (Network) Meta-Analysis - A Practical Course in R","Wengen, Švajčiarsko",3,3,"2020-01-20","2020-01-22","2050 CHF",null,"https://www.epi-winterschool.org/wp-content/uploads/2019/05/WS2020_SalantiSchwarzer_Advanced-Methods-in-Network-Meta-Analysis_description.pdf","This course is aimed at statisticians, epidemiologists, and other quantitatively-minded researchers who want to understand and undertake beyond-the-standard statistical syntheses of clinical trials. Knowledge of systematic reviews and the fundamentals of meta-analysis is expected of all participants. Participants must be statistically literate, including a good understanding of linear regression, meta-analysis, random-effects models and matrices. Computer practicals will use R packages requiring basic experience with R software.\nBy the end of this course participants will:\n understand the role and potential of meta-regression, multivariate meta-analysis, dose-response meta-analysis and network meta-analysis\n understand the potential and limitations of methods to detect and account for small-study effects\n understand the principles, steps and statistical methods involved\n be able to perform the above mentioned methods using R packages.",null,"nie"]
["SH003","Swiss School of Public Health","Parametric Competing Risks and Multi-state models","Wengen, Švajčiarsko",2,3,"2020-01-23","2020-01-25","2000 CHF",null,"https://www.epi-winterschool.org/wp-content/uploads/2019/05/WS2020_Lambert_Parametric-Competing-Risks_description.pdf","This course will focus on the use of parametric survival models when analysing data with competing risks and then extending to multi-state models. Multi-state models are increasingly being used to model complex disease profiles. By modelling transitions between disease states, accounting for competing events at each transition, we can gain an improved understanding of patients prognosis and how risk factors impact over the whole disease pathway. We will place emphasis on the use of flexible parametric survival models that incorporate restricted cubic splines on the log hazard or log cumulative hazard scale. This will include models with time-dependent effects (non-proportional hazards). We will use an efficient and generalizable simulation method to obtain clinically useful and directly interpretable predictions, which are particularly useful for more complex models, but also explain when analytical approaches can be used. We will also discuss assumptions of the models, including the Markov assumption and how this can be relaxed. The course will be taught using Stata making use of the multistate package.\nBy the end of this course participants will have:\n An understanding of how to fit and interpret flexible parametric survival models, including Royston-Parmar models.\n An understanding of fitting and interpreting time-dependent effects.\n An understanding of competing risks models and how to estimate cumulative incidence functions using parametric models.\n An understanding of how to construct, analyse and interpret a multi-state model.\n An understanding of the variety of useful measures that can be obtained from multistate models.\n Practical experience of fitting the models using Stata®.\nParametric Competing Risks and Multi-state models\n23 – 25 January 2020",null,"nie"]
["SH004","Swiss School of Public Health","Empirical Policy Evaluation in Health","Lucerne, Švajčiarsko",5,5,"2020-01-27","2020-01-31","1500 CHF",null,"https://www.sggoe.ch/events/empirical-policy-evaluation-in-health.html","The aim of this course is to provide the students with state of the art econometric methods for evaluation of public policy.\nThe course deals with theoretical literature on causal inference in lectures, but emphasis is given to empirical applications using\nmicro data. The course therefore includes also practical computer assignments using Stata.\n\nObjectives\n\nThe key objective of the course is to make students familiar with empirical tools for public policy evaluation and to provide an introduction to working with micro data.\n",null,"nie","áno"]
["SH005","Swiss School of Public Health","Big Data in Public Health","Zürich, Švajčiarsko",5,5,"2020-05-25","2020-05-29","2500 CHF","2020-04-25","https://www.ssphplus-phd.ch/wp-content/uploads/2020/01/Course-Flyer_2020_BigDataPH_FINAL.pdf","By the end of the course, the participants are familiar with public health\nrelevant definitions and challenges of big data approaches from major\npublic health disciplines. They are able to address key issues in research\nand the broader public health discourse. Specifically, participants will:\n1. Gain a broad understanding of the relevance and potential for\nbig data to advance public health research\n2. Apply novel methods in big data analysis towards addressing\nimportant public health challenges\n3. Develop a project with potential for real-world public health\nimpact using big data methods.",null,"nie","nie"]
["SB001","Stern School of Business","Advanced Valuation","Online",74,106,"2020-09-08","2020-12-22","1 936 USD",null,"https://execed.stern.nyu.edu/products/advanced-valuation-with-aswath-damodaran","aught by Professor Aswath Damodaran, one of the leaders in the field, Advanced Valuation is for analysts, financial officers, and portfolio managers seeking a deeper understanding of valuation, and the skills and knowledge to confidently make financial decisions.Through video lectures, live Q&A sessions, and a hands-on valuation project, students will learn how to estimate the value of any business, small or large, private or public, in a developed or an emerging market. They will also be able to price businesses using earnings, book value, revenue, or other pricing multiples and comparables.This course includes a free bonus course for students looking to enhance their accounting skills: Essentials of Financial Accounting taught by NYU Stern Professor Amal Shehata."]
["IP008","ictPRO","Python - základy programování","Praha, Česko",3,3,"2020-09-09","2020-09-11","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","V rámci školení se seznámíte s fungováním jazyka Python, podíváte se na složitější příkazy a možnostmi hledání a využití standardní knihovny. Součástí kurzu jsou samozřejmě také praktická cvičení, během nichž mimo jiné vyzkoušíte vytvoření automatizace dvou úkolů","Je možné sa pripojiť aj virtuálne","nie","len v prípade záujmu"]
["GE204","GESIS – Leibniz Institute for Social Sciences","Methodenseminar","Kolín, Nemecko",14,19,"2020-09-14","2020-10-02","900 EUR",null,"https://training.gesis.org/?site=pDetails&pID=0x387DA6358EF341928F67355388570B76","The Methods Seminar offers three courses in German that introduce the basics of uni- and bivariate statistics as well as different regression models as used in the social sciences and digital humanities. Just like in previous years, there will be seminars in English on methods and techniques for big data-such as Machine Learning or Text Mining-using R or Python. These seminars should be interesting to all data scientists, social scientists, and researchers in the digital humanities that collect and analyze data from the web, social media, or digital text archives.","Kurz v nemeckom jazyku ","nie",null,2.5]
["HA106","Harvard ","Creating Public Value","Online",44,63,"2020-09-14","2020-11-15","2600 USD","2020-08-14","https://online-learning.harvard.edu/course/creating-public-value?delta=0","The need for public managers to deliver real value has never been greater, yet the complexity and volatility of the public sector often prevents leaders in their efforts from doing so. Despite the obstacles, it is critical for those in government to remember what is distinctively public about their work: to separate public value from commercial value, and to adapt their practices to rapid changes in expectations, aspirations, and social conditions. \n\nOver the nine-week period, participants will examine the dual roles they play as citizens and public managers in authorizing, financing, helping to produce, and enjoying or suffering the consequences of government action. In addition, you will explore how government could use its various modes of contact with citizens to further engage them in democratic governance.","8-12 hours per week"]
["TI294","Timberlake Consultants","Advances in Causal Inference using Stata ","Online",1,2,"2020-09-14","2020-09-15","930 GBP","2020-09-07","https://www.timberlake.co.uk/courses/advances-in-causal-inference-using-stata-ire.html","Econometric modelling for causal inference and program evaluation has received tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.\n\nIt will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitations.\n\nMore specifically, the course will focus on these approaches:\n•Difference-in-differences (DID) with time-varying binary treatment\n•The Synthetic Control Method (SCM) for program evaluation, suitable when datasets on many times and locations are available\n•Models for multivalued and quantile treatment effect estimation\n•Causal inference with continuous treatment (namely, dose-response models)\n\nAfter attending the course, the participants will be comfortable with setting up and and managing correct evaluation design using Stata, by identifying the policy framework, the appropriate econometric method to use interpreting correctly the results. The course will provide various practical examples using real datasets.\n",null,null,null,2]
["OU011","University of Oxford","Microeconomics: An Introduction (Online)","Online",53,75,"2020-09-14","2020-11-27","300 GBP",null,"https://www.conted.ox.ac.uk/courses/microeconomics-an-introduction-online?code=O19P567SOV","Microeconomics: an introduction will equip students with the technical skills with which they will be able to understand how consumers and firms make everyday consumption and production decisions. In this case the course will ensure that students are able to relate fundamental microeconomic theory with daily economic activity. The course will also allow students to develop critical thinking skills by considering the case of market failure which occurs in sharp contrast to traditional microeconomic theory. In this case students will learn that despite the notion that supply and demand are determined by the market, there are cases of missing markets where government intervention is required to substitute for the price mechanism. Students will also be able to use the knowledge gained on this course to everyday circumstances. Furthermore, this course will give students a solid foundation which they can use to progress to higher level studies in Microeconomics as well as being able to apply knowledge gained on the course to other online courses such as Globalisation, the New Economic Powers and Introduction to Macroeconomics.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["TA002","TalTech University","Winter School on Secure e-Governance","Talin, Estónsko",5,8,"2020-01-19","2020-01-26","850 EUR",null,"https://www.ttu.ee/projects/summer-and-winter-schools-2/winter-schools/secure-e-governace-3/","The idea of the course is to introduce e-Estonia from the government level and to give an overview of how things are rolling in the ICT sector in Estonia. The main focus will be set to explain the core of the digital transformation in the public sector. Thus, the course broadens the understanding of the value that e-services could provide for different stakeholders (citizens, public entities and privately held companies etc.) and the main steps of the digitalisation process will be discussed and the data management including the re-use of the data explored. \nAs identity management is essential feature for digitalisation, the different authentication methods will be highlighted and presented based on Estonian approach. In addition, cyber security aspects will be included as an important part of e-governance solutions. The interoperability as highly important concept during the service provision will be discussed based on X-road and others relevant system functions. Finally, the shift to digitalisation will be viewed from the perspective of the change management - the most important aspects and phases whilst implementation process takes place. In order to present the gained knowledge students will have an opportunity to create e-service/system/solution description (prototype) for improving a specific problem at government level.",null,"nie"]
["OU012","University of Oxford","Introducing Mapping, Spatial Data and GIS (Online)","Online",53,75,"2020-09-14","2020-11-27","300 GBP",null,"https://www.conted.ox.ac.uk/courses/introducing-mapping-spatial-data-and-gis-online?code=O20P349BIV","1. What are spatial data and Geographic Information Systems?\nExplore how maps and spatial analysis pervade our world, and consider the use of maps in the media. Install the GIS software and take your first steps in displaying spatial data.\n\n2. Who uses spatial data, maps and GIS, and what for?\nConsider how GIS is used in different industries and leisure activities. Encounter the power and versatility of maps and GIS to illustrate patterns, exploring osprey migration routes in a wildlife case study.\n\n3. Understanding spatial reference systems\nLearn how to refer to the spatial location of objects on the earth’s surface, and understand how this translates to locations on a flat map. View and overlay data from a range of spatial reference systems, based on an archaeological case study of Stonehenge artefacts.\n\n4. Representing spatial features\nGrasp the difference between discrete spatial objects and continuous surfaces, and learn the characteristics of the two primary data formats (vector and raster) which represent them. Practice working with both data types in a resource management case study on an English farm.\n\n5. Interpreting maps\nInterpret the symbols, contours and scale on a topographic map, and learn how to navigate using a compass. Plan travel routes and camping locations for a wilderness hike through Monongahela National Forest, USA, as part of a leisure case study.\n\n6. Working with raster layers\nExperience the power of remotely sensed imagery to visualize environmental patterns. Manipulate raster layers in a disaster relief case study, to assess the extent of catastrophic flooding in Pakistan.\n\n7. Working with vector layers\nGenerate and edit your own vector data by hand-digitizing, and add non-geographic information to your new layers. Extend the Pakistan disaster relief case study by calculating the area affected by flooding.\n\n8. Introduction to symbology and cartography\nExplore the art of cartography, and discuss how to communicate your message to a specific audience. Change the way map features are displayed to identify spatial patterns in health risks in Togo, an international development case study.\n\n9. Making maps\nLearn how the key elements of a map (scale bar, legend, graticule) allow viewers to interpret your map and understand your message. Apply cartographic principles in a tourism case study to create and export your own map of tourist attractions in Melbourne, Australia.\n\n10. Introduction to spatial analysis\nDiscover how the utility of GIS extends far beyond map-making. Explore concepts in spatial analysis that will allow you to create new data, identify patterns, and support future decision-making. Propose the location of a new recycling facility in an urban planning case study.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["WU001","Wageningen University","Food Security in a Changing Climate","Wageningen, Holandsko",9,12,"2020-09-14","2020-09-25","3700 EUR",null,"https://www.wur.nl/en/show/Food-Security-in-a-Changing-Climate.htm","In this course you will not only get a full understanding of climate change but also learn about its impacts and the adaptation and mitigation concepts. It will also encourage you to become a facilitator of change. It will strengthen your skills for stakeholder engagement, policy influencing, advocacy, and negotiation to help you establish more effective governance structures.","Costs\nTuition fee € 3,700.00\nFull board/lodging € 1,326.00\nHealth insurance € 24.00\nTotal € 5,050.00\nTuition fee\n\nIncluding administration fee, costs of lecture material and of field trips\n(as far as they are included in the programme).\n\nFull board/lodging\n\nParticipants will be accommodated in or near Wageningen.","nie","nie",2]
["TC001","Tayllorcox","Prince2 foundation","Brno, Česko",3,3,"2020-03-02","2020-03-04","19400 Kč",null,"https://www.tx.cz/prince2/prince2-foundation","Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory.","Na vvýber je viacero termínov počas celého roka","nie","áno"]
["TC004","Tayllorcox","Prince2 practitioner","Brno, Česko",2,2,"2020-03-19","2020-03-20","19900 Kč",null,"https://www.tx.cz/prince2/prince2-practitionerPRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu.","PRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu.","Na vvýber je viacero termínov počas celého roka","nie","áno"]
["TC002","Tayllorcox","Prince2 foundation","Brno, Česko",3,3,"2020-04-20","2020-04-22","18900 Kč",null,"https://www.tx.cz/prince2/prince2-foundation","Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory.","Na vvýber je viacero termínov počas celého roka","nie","áno"]
["TC005","Tayllorcox","Prince2 practitioner","Brno, Česko",2,2,"2020-04-23","2020-04-24","19900 Kč",null,"https://www.tx.cz/prince2/prince2-practitionerPRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu.","PRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu.","Na vvýber je viacero termínov počas celého roka","nie","áno"]
["TC006","Tayllorcox","Prince2 practitioner","Praha, Česko",1,2,"2020-05-07","2020-05-08","19900 Kč",null,"https://www.tx.cz/prince2/prince2-practitionerPRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu.","PRINCE2 Practitioner je dalším logickým krokem absolventů PRINCE2 Foundation, kteří si osvojili základy metodiky, terminologie a technik v praxi. V úrovni Practitioner oceníte tipy, příklady a praktické scénáře z reálných situací, kdy vše nejde podle plánu.","Na vvýber je viacero termínov počas celého roka","nie","áno"]
["TC003","Tayllorcox","Prince2 foundation","Brno, Česko",3,3,"2020-05-11","2020-05-13","19400 Kč",null,"https://www.tx.cz/prince2/prince2-foundation","Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory.","Na vvýber je viacero termínov počas celého roka","nie","áno"]
["OU003","University of Oxford","International Labour Migration: Economics, Politics and Ethics (Online)","Online",52,73,"2020-09-16","2020-11-27","300 GBP",null,"https://www.conted.ox.ac.uk/courses/international-labour-migration-economics-politics-and-ethics-online?code=O20P453SOV","This global course analyses one of the most controversial public policy issues of the 21st century: how to regulate international labour migration and the rights of migrant workers. Integrating economics, politics and ethics, the course comprehensively discusses the determinants, impacts and regulation of labour immigration and emigration around the world.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["TB001","TBM Council ","Executive Foundation Course","Stockholm, Švédsko ",2,2,"2020-04-15","2020-04-16","1495 USD (1335 EUR)",null,"https://www.tbmconference.org/event/e07be175-5af5-4b3e-9e81-aaad545b8c8f/summary?_ga=2.189273832.219425047.1582790705-1001146709.1581578580","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.","Executive Foundation Course + Certification Exam\n$1,890.00","nie","nie"]
["TB002","TBM Council ","Executive Foundation Course","Espoo, Fínsko",2,2,"2020-04-28","2020-04-29","1495 USD (1335 EUR)",null,"https://www.tbmconference.org/event/b2e69f95-571f-4ec0-b7dc-dcdf6d46c88b/summary?_ga=2.22524408.219425047.1582790705-1001146709.1581578580","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.","Executive Foundation Course + Certification Exam\n$1,890.00","nie","nie"]
["TB003","TBM Council ","Executive Foundation Course","Londýn, Veľká Británia",2,2,"2020-05-12","2020-05-13","1495 USD (1335 EUR)",null,"https://www.tbmconference.org/event/da08b53a-3b75-412e-a735-bdbf7026bb42/summary?_ga=2.22524408.219425047.1582790705-1001146709.1581578580","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.","Executive Foundation Course + Certification Exam\nUS$1,890.00","nie","nie"]
["TB004","TBM Council ","Executive Foundation Course","Paríž, Francúzsko",2,2,"2020-05-26","2020-05-27","1495 USD (1335 EUR)",null,"https://www.tbmconference.org/event/c532ed4f-3ad3-4d6b-a799-ee4a372fa618/summary?_ga=2.189256296.219425047.1582790705-1001146709.1581578580","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.","Executive Foundation Course + Certification Exam\nUS$1,890.00","nie","nie"]
["TI295","Timberlake Consultants","Introduction to Panel Data Analysis with Stata ","Online",1,1,"2020-09-18","2020-11-25","150 GBP (175 EUR)","2020-09-16","https://www.timberlake.co.uk/courses/training-stata-panel-data-online-september.html","Our web based Introduction to Panel Data Analysis with Stata course provides an overview of the most used panel data techniques. The course is ideal for beginner/intermediate level user who wants to learn how implement panel data estimation with Stata commands. The course will be very practical, employing plenty of examples and a constant stream of challenging exercises. Participants leave with the know-how and courage to independently perform their own panel data analysis.\n•Panel data analysis utilises more information (i.e. more degrees of freedom) and introduces more variability in the data and hence inference of model parameters can be more accurate;\n•Controlling for omitted / missing / unobserved factors. The growing availability of panel data has stimulated a rapid growth in both methodological approaches and applications during the last 20 years.\n\nThe course will be very practical; employing plenty of examples and a constant stream of challenging exercises. \n\nParticipants leave with the know-how and courage to independently perform their own panel data analysis.\n","Apply and pay before 17 September 2020\n\n18.9.2020 (1-4 pm GMT)\n25.11.2020 (1-4 pm GMT)",null,null,2]
["EM025","EcoMod Network","Energy and Environmental CGE Modeling with GAMS","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/list-of-courses/energy-and-environmental-cge-modeling-with-gams","The course will introduce all the tools for constructing and implementing large-scale, dynamic, multisectoral general equilibrium models for energy and environmental policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in: the structure of general equilibrium models for environmental policy analysis, introducing dynamics, modeling energy markets, modeling complex nesting structures, introducing greenhouse gases, modeling tradable pollution permits, modeling carbon taxes, modeling technical change, modeling backstop technologies, implementing the model on the computer using the GAMS software,formulating scenarios and running policy simulations, reporting and interpreting the results.\n\n","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM026","EcoMod Network","Practical General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/node/7","The course uses a practical and very intensive approach to model building. The participants will actually build the model EcoMod step-by-step with guidance from the instructors: from small to large scale and from simple to complex structure. The participants will acquire extensive practical hands-on experience in building a complex, large-scale model. This will allow them to easily implement the first version of their own model using the GAMS codes of EcoMod.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM027","EcoMod Network","Microsimulation Modeling Using Stata for Tax, Pension, and Health Care Policies","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2020/microsimulation-modeling-usin","Methodology: The course uses a practical  and very intensive approach to microsimulation modeling. The participants will build several microsimulation models step-by-step with guidance from the instructors: from small to large scale and from simple to complex structure. The participants will acquire extensive practical hands-on experience in building a complex, realistic microsimulation model. This will allow them to implement the first version of their own microsimulation model using Stata codes and the EcoMod framework from the course.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM028","EcoMod Network","Trade Policy Modeling with GAMS","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/list-of-courses/trade-policy-modeling-with-gams","The course uses a practical  and very intensive approach to model building. The participants will actually build the model step-by-step with guidance from the instructors: from small to large scale and from simple to complex structure. The participants will acquire extensive practical hands-on experience in building a complex, large-scale model. This will allow them to easily implement the first version of their own model using the GAMS codes of EcoMod.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["TI277","Timberlake Consultants","Stata Econometrics Winter School 2020","Porto, Taliansko",5,5,"2020-01-20","2020-01-24","750 GBP",null,"https://www.timberlake.co.uk/courses/stata-econometrics-winter-school-pt20.html","Our sixth annual Stata Econometrics Winter School runs in Oporto, Portugal between 20-24 January 2020.\n\nThis series of one-day short courses are jointly organised with the Faculdade de Economia da Universidade do Porto. The School aims to provide the full set of tools and techniques that any modern applied economist needs to know. Participants will learn the techniques properly using Stata statistical software.\n\nThe courses that comprise the 2020 Stata Winter School are:\n•Day 1: Introduction to Stata\n•Day 2: Data Analysis, Linear Regression, and Spatial Econometrics\n•Day 3: Linear Panel Data Models\n•Day 4: High-dimensional fixed-effects & Managing Output Files\n•Day 5: Introduction to programming in Stata\n","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr.","nie","nie",2]
["TI278","Timberlake Consultants","Panel Data Analysis using Stata","New York, USA",2,2,"2020-03-12","2020-03-13","930 GBP",null,"https://www.timberlake.co.uk/courses/stata-panel-data-usa.html","Panel data econometrics has developed rapidly. Longitudinal data – both with a large number of units tracked for a short period and with a relative small number of units for a long time - are more and more available to researchers and methods to analyse these data are in high demand from professionals and academics from different fields. \n\nThis two-day course offers a comprehensive overview on panel data methods with Stata, covering linear models with exogenous and endogenous variables, dynamic linear models, and some nonlinear models. \n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.\n\nBy the end of the two-day course participants will be able to prepare panel data for analysis with Stata, choose the relevant model and get the parameter estimates. \n\nThis course also provides a brief review to multivariate regression analysis before discussing in details panel data techniques using Stata.\n","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr.","nie","nie",2]
["TI279","Timberlake Consultants","Panel Data Analysis using Stata","Dublin, Írsko",2,2,"2020-03-18","2020-03-19","930 GBP",null,"https://www.timberlake.co.uk/courses/stata-panel-data-ire.html","This two-day course is for professionals and researchers from all academic disciplines. \n\nThe course assumes a foundation of statistical knowledge and experience of using statistical software.\n\nParticipants will be introduced to Panel Data analysis and will be taught the statistical theory behind these methods, and they will apply these methods to specially chosen datasets using examples from economic, social, and medical research.\n","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr.","nie","nie",2]
["TI280","Timberlake Consultants","Panel Data Analysis using Stata","Londýn, Veľká Británia",2,2,"2020-03-26","2020-03-27","930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)","5-calendar days prior to the start of the course","https://www.timberlake.co.uk/courses/stata-panel-data.html","The course offers a comprehensive overview on panel data methods with Stata, covering linear models with exogenous and endogenous variables, dynamic linear models, and some nonlinear models.Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.By the end of the two-day course participants should be able to prepare panel data for the analysis with Stata, choose the relevant model and get the parameter estimates.","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed.","nie","nie",2]
["TI282","Timberlake Consultants","Instrumental Variables and Structural Equation Modelling using Stata","Dublin, Írsko",2,2,"2020-05-04","2020-05-05","930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)","5-calendar days prior to the start of the course","https://www.timberlake.co.uk/courses/ivsm-stata-ire.html","This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity.Participants will obtain extensive hands-on experience by working on real datasets examples from different social and biomedical sciences. Technical treatment of the subjects will be set out only to properly address real-world applications.The course will demonstrate visual intuitive graphical representations of causal links, as well as on traditional algebraic approach. The course will enable them to recognise IVs and design causal paths in their own studies, by understanding underlying assumptions in different fields of application.The practical sessions will use the Stata commands ivregress and sem/gsem.","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed.","nie","nie",2]
["TI281","Timberlake Consultants","Panel Data Analysis using Stata","Dublin, Írsko",2,2,"2020-05-18","2020-05-19","930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)","5-calendar days prior to the start of the course","https://www.timberlake.co.uk/courses/stata-panel-data-ire.html#overview","articipants will be introduced to Panel Data analysis and will be taught the statistical theory behind these methods, and they will apply these methods to specially chosen datasets using examples from economic, social, and medical research.","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed.","nie","nie",2]
["TI283","Timberlake Consultants","Advances in Causal Inference using Stata","Londýn, Veľká Británia",2,2,"2020-05-28","2020-05-29","930 GBP + VAT or local taxes where applicable (1070 EUR + VAT)","5-calendar days prior to the start of the course","https://www.timberlake.co.uk/courses/advances-in-causal-inference-using-stata.html","Econometric modelling for causal inference and program evaluation has received tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitation","Obmedzený počet miest, je nutné zaregistrovať sa čo najskôr. V cene je obed.","nie","nie",2]
["EM029","EcoMod Network","Quantitative Methods for Fiscal and Budgetary Policies","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/list-of-courses/quantitative-methods-for-fiscal-and-budgetary-policies","As the current global economic and financial crisis shows, government plays a major role in the economy. In order to monitor the economy in an uncertain and rapidly changing world, to take the best decisions and to assess their impacts, Ministries of Finance need state-of-the-art modeling techniques.The course is fully practical. Theoretical explanations are followed by individual hands-on exercises on the computer. Please bring your laptop.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM030","EcoMod Network","Financial Social Accounting Matrices (FSAM): Building and Modeling Real-Financial Multiplier Models for Policy Analysis","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2020","This course provides a strong theoretical foundation and hands-on experience in building Social Accounting Matrices according to the new recommendations of System of National Accounts 2008. The content of the course goes beyond the generalized input-output framework for calculating simple multipliers by considering a Financial Social Accounting Matrix (FSAM).","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM031","EcoMod Network","Stock-Flow Consistent Macroeconomic Modeling Using Eviews","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2020","Intensive hands-on course at the introductory level. The course provides theoretical foundations and hands-on experience in building dynamic stock-flow-consistent (SFC) models which integrate real and financial markets.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM032","EcoMod Network","Agent-Based Economic Modeling Using Python","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021","The course is aimed at participants who have no or little experience with agent-based modeling but have knowledge of programming in python.\n\nCourse objective: \nBy the end of the course the participants will have acquired detailed knowledge of and hands-on experience in:\n\nPython\nHow to formulate research questions for agent-based models\nHow to write agent-based models\nHow to create firm agents\nHow to create household agents\nDifferent behavioral approaches to agents' behavior such as\nMaximizing agents\nAgents acting according to behavioral heuristics\nMachine learning and other behavioral approaches\nHow to structure them for extensionality\nMethodology: \nThe course will be hands-on and structured around the creation of models. On day one, we will implement the simplest possible economic model where agents only trade. From day 2 to day 4 we will progressively build an economy with:\n\nProduction firms\nConsumers\nWorkers\nFirm to firm trade\nA circular economy\nThe students will have created a model economy that can be extended to their research and analyzed to answer questions they are interested in.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM033","EcoMod Network","Machine Learning with Python for Economics and Econometrics","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021","Intensive and hands-on course at the introductory level.\n\nThe course will introduce all the basic techniques of machine learning using Python, Keras and tensorFlow.\n\nAs data become available faster and in huge quantities, businesses and governments require new analytical methods. Big Data and Machine Learning became essential for economics, finance, government and businesses to learn about.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM034","EcoMod Network","Macroeconometric Modeling using Eviews","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021","Intensive course at the introductory level. This course is tailored for staff developing or using small or medium size macro models and staff involved in forecasting and policy analysis in the central banks, ministries and international institutions.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM035","EcoMod Network","Overlapping Generation General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021","Intensive course at the advanced level. This course is only accessible to those who have some experience in dynamic general equilibrium modeling with GAMS and to the EcoMod alumni.\n\nOLG models are very useful in the analysis of a large number of important policy issues such as government tax and expenditure, social security reform, welfare state, aging, international trade, demographic issues, fertility, education, human capital, growth, migration, labor market, environmental issues, intergenerational equity, etc","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["EM036","EcoMod Network","Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/ecomod-school-of-modeling-and-data-science-prague-2021","Intensive course at the introductory level.\n\nThis course is tailored for professionals involved in economic forecasting and policy analysis in the central banks, ministries, research organizations, and international institutions.\n\nThe course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.","The fee for the course is US$3,767.00. This includes course materials (including a free course license of GAMS for two months), lectures, morning and afternoon coffee breaks, receptions. Early registration discount:A discount of US$500.00 is offered on the regular fee, and US$400.00 on the university fee for registrations and payments completed six weeks before the start of the course.","nie","nie"]
["NS002","NATO School","Energy Security Strategic Awareness Course","Oberammergau, Nemecko",5,5,"2020-09-21","2020-09-25","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=134&TabId=155&language=en-US","The aim of this course is to raise awareness of current energy developments and vulnerabilities as part of emerging challenges to security, by developing a common understanding of NATO’s current energy security agenda and of the need to better connect NATO with national and international partners in the field of energy security.","NATO unclassified","nie","nie",null,"","","",""]
["OU004","University of Oxford","Inequality and Labour Markets (Online)","Online",54,75,"2020-09-21","2020-12-04","300 GBP",null,"https://www.conted.ox.ac.uk/courses/inequality-and-labour-markets-online?code=O20P385SOV","Labour market inequality, particularly the difference in earnings between the highest paid and lowest paid, has become an important topic across many countries. Many governments agree that the gap between the best-off and worst-off has grown too large, and that as well as being unjust, such outcomes are also detrimental to other social and economic outcomes. This course looks at what determines pay in developed countries, and why this differs so much between them. It examines the role human capital - a worker's education, capabilities and skills - have played in the past, and the role it is expected to play in the future. However, it then goes beyond a human capital approach and considers what role employers and institutions play, and how, if ever, government policy can reduce inequality when more education and training isn't enough.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["WU002","Wageningen University","Farmer Agency for Rural Economies","Wageningen, Holandsko",15,19,"2020-09-21","2020-10-09","4100 EUR",null,"https://www.wur.nl/en/show/Farmer-Agency-for-Rural-Economies.htm","Join this course and take home many practical tools and approaches for promoting farmer entrepreneurship and strengthening farmers’ organisations. The course is about designing and facilitating farmer-inclusive development. Key elements are:\n\n• Realities of smallholder farmers\n• Governance, management and performance of farmers’ organisations\n• Value chain analysis\n• Improved stakeholder collaboration\n• A more enabling environment for farmer-inclusive development.","Costs\nTuition fee € 4,100.00\nFull board/lodging € 2,040.00\nHealth insurance € 33.00\nTotal € 6,173.00\nTuition fee\n\nIncluding administration fee, costs of lecture material and of field trips\n(as far as they are included in the programme).\n\nFull board/lodging\n\nParticipants will be accommodated in Wageningen.","nie","nie",2]
["CE171","Center of Excellence in Finance","Identifying Tax Fraud, Including Online Trade","Online",3,3,"2020-09-07","2020-09-18","0 EUR","2020-08-28","https://www.cef-see.org/20-tpa6","Participants will discuss the challenges of increasing online trade and identifying tax fraud, as these topics are closely linked. The first part will focus on a broader perspective of fraud. Later on, participants will explore more specific issues: how to further enhance cooperation between customs and tax agencies as well as law enforcement bodies and other stakeholders.",null,null,"nie"]
["OU005","University of Oxford","Macroeconomics: An Introduction (Online)","Online",52,73,"2020-09-23","2020-12-04","300 GBP",null,"https://www.conted.ox.ac.uk/courses/macroeconomics-an-introduction-online?code=O20P411SOV","This course provides a detailed introduction to, and encompasses the fundamentals of macroeconomics. On completion of the course you will have the ability to critically assess real-world macroeconomic developments at first-year undergraduate level. his short course aims to provide students with an understanding of conventional macroeconomic thinking so that they can understand the essential principles of how the macroeconomy of nation states functions in a globalised world. Once students have completed this course they will be better placed to understand the causes of inflation and unemployment and the relevance of government monetary and fiscal policy in dealing with such economic problems. Therefore, students will be able to use the knowledge gained to understand everyday macroeconomic events. ","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["OU007","University of Oxford","Public Policy Economics (Online)","Online",52,73,"2020-09-23","2020-12-04","300 GBP",null,"https://www.conted.ox.ac.uk/courses/public-policy-economics-online?code=O20P477SOV","This course covers some of the most important questions about the aims and tools of economic policy, ranging from competition policy and regulation to industrial policy, from public spending choices to incorporating behavioural psychology 'nudges' in policy decisions. It covers the role of the state versus the market, and the government's responsibility for sustainability. It will equip students to evaluate the economic arguments made about public policy choices.\nExplore the rationale for public policy interventions in the economy.\nProvide an overview of a wide range of areas of applied microeconomics used in public policy, including relevant historical and international experience.\nDiscuss the role of economics in the political process; (iv) provide an introduction to the evaluation of economic policies. It will have some interdisciplinary elements, in touching on political economy and behavioural economics.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["CE172","Center of Excellence in Finance","Ensuring Fiscal Transparency and Budget Comprehensiveness","Online",1,1,"2020-09-24","2020-09-24","0 EUR","2020-09-23","https://www.cef-see.org/20-bpe5","This webinar will provide a platform for inclusive peer-to-peer exchange of hands-on experiences and practices in utilization of Public Expenditure and Financial Accountability (PEFA) assessments to determine and accelerate PFM reforms. At this event, participants will learn about the prospects and preconditions for utilization of PEFA assessments as tools for streamlining, prioritizing and sequencing of PFM reforms to secure their timely and sustainable outcomes. Furthermore, we will address how to use these assessments to accelerate stakeholder dialogues in the design, implementation and monitoring of reforms, and how to secure multi-stakeholder engagement to anchor the process. The event will promote the principle of “one size does not fit all” in carrying out PFM reforms.",null,null,"nie"]
["TS016","Tstat","INTRODUCTION TO SPATIAL ECONOMETRICS USING STATA","Online",5,5,"2020-09-28","2020-10-02","2020 EUR","2020-09-08","https://www.tstattraining.eu/training/intro-spatial-econometrics-stata-ol/","Many phenomena in the economics, medical and social fields, such as unemployment, crime rates or infectious diseases, tend to be spatially correlated. Spatial Econometrics, in contrast to standard econometric modelling, exploits cross-sectional and panel data collected with reference to location measured as points in space for dealing with spatial dependence and spatial heterogeneity. Our “Introduction to Spatial Econometrics using Stata” course offers researchers a unique opportunity to acquire the necessary theoretical and empirical toolset for the analysis of spatial longitudinal data, using the more recently developed spatial econometrics methodologies. The course begins by providing an overview of the more standard concepts in spatial econometrics and illustrating how one should prepare the data set for spatial analysis, before moving on to review the latest methodologies and commands (both official and user written commands) available in Stata. The course concludes by focusing on a number of more recent developments in spatial econometrics allowing simultaneously for serial dynamics, spatial spillovers and common factors. During the course, attention will also be given to the interpretation and presentation of results obtained.\n\nIn common with TStat’s course philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. At the end, it is expected that participants are able identifying and evaluate which specific econometric method is more appropriate for the analysis in hand.\n","Apply by 8 September 2020\nFees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.\n\nThe number of participants is limited to 8. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled.\n\nCourse fees cover: teaching materials (handouts, Stata do-files, program templates and datasets to use during the course) and a temporary course licence of Stata valid for 30 days from the beginning of the course.\n"]
["UC001","UNESCO","Foundations of disability-inclusive education sector planning","Online",44,61,"2020-09-28","2020-11-27","550 USD","2020-07-10","http://www.iiep.unesco.org/sites/default/files/information_note_inclusive_online_0.pdf","Teams of professionals (maximum 4-6 members) from different departments within Ministries\nof Education (planning, special needs/disability-inclusive education, data and statistics, teacher training, curriculum,\nand other relevant departments/units), as well as from development partner organizations.","16.-27.9. 2020 prrípravná fáza"]
["TI300","Timberlake Consultants","Climate Econometrics Spring School - 2021 ","George Washington University, USA",2,3,"2021-03-07","2021-03-09","1 710 GBP","2021-02-26","https://www.timberlake.co.uk/courses/climate-econometrics.html","Climate econometrics is a new sub-discipline that has grown rapidly over the last few years. Because greenhouse gas emissions like carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) that are generated by human economic activity are a major cause of climate change, it is not surprising that the tool set designed to empirically investigate economic outcomes should be applicable to studying many empirical aspects of climate change.\n\nEconomic and climate data exhibit many commonalities. Both are subject to non- stationarities in the form of slowly evolving trends and sudden shifts. Consequently, the well-developed machinery for modelling economic time series can be fruitfully applied to climate data. \n\nIn both disciplines, there is imperfect and incomplete knowledge of the processes actually generating the data. As that data generating process (DGP) is not known, investigators must search for what they hope is a close approximation to it. The approach adopted at Climate Econometrics (http://www.climateeconometrics.org/) is based on a model selection methodology that has excellent properties for locating an unknown DGP nested within a large set of possible explanations, allowing for dynamic interactions and feedbacks, outliers from shocks and measurement errors, stochastic trends, sudden, often unanticipated shifts, and non-linear relationships. \n"]
["AC233","ACREA CR","Příprava dat pro analýzu","Praha, Česko",1,1,"2022-03-30","2022-03-30","200 EUR + 21% DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/priprava-dat-pro-analyzu/","Příprava dat je základním předpokladem kvalitní analýzy. V dnešní době se setkáváme s velkým množstvím datových zdrojů, nicméně tato data bývají často ve špatné kvalitě nebo v nevhodné podobě pro následné zpracování. Analytik si proto musí data nejprve připravit, což v praxi obvykle zabere více času než samotná analýza. V tomto kurzu se zaměříme na obecné postupy a základní problémy přípravy dat od načítání dat z různých formátů a spojování datových souborů přes čištění dat a přípravu datové matice až po transformace proměnných a datové operace jako agregace či restrukturalizace.\nPROGRAM KURZU:\n-datová matice a metadata\n-čištění dat\n-tvorba a transformace proměnných\n-spojování souborů\n-agregace\n-restrukturalizace",null,"nie","nie",1.9]
["EU203","European Institute of Public Administration (EIPA)","\nEfficient Management of Public Sector Budgets and Services – What to Do and How to Do It","Maastricht, Holandsko",2,2,"2020-09-30","2020-10-01","1 100 EUR","2020-09-15","https://www.eipa.eu/product/public-sector-budgets/","By the end of the workshop you will:\n\nBetter understand the role of budgeting in the public sector and why it matters;\nBe able to deal more effectively with the current challenges for budgeting and service planning for finance staff and service managers;\nAchieve better co-operation between finance staff and service managers to improve public service planning and delivery;\nBe able to identify/manage the most commonly arising financial and operational risks in budget preparation and planning for service delivery;\nBe able to identify/manage the commonly arising financial and operational risks in the budget execution of and service delivery;\nBetter understand how auditors can help public sector bodies to improve their management of finances/services.","The fee includes documentation and refreshments, two lunches and a reception. Accommodation and travel costs are at the expense of the participants or their administration.","nie","nie"]
["IP014","ictPRO","Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty","Brno, Česko",3,3,"2020-09-30","2020-10-02","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL.",null,"nie","len v prípade záujmu"]
["OU009","University of Oxford","Social Policy and Welfare States in the 21st Century (Online)","Online",52,73,"2020-09-30","2020-12-11","300 GBP",null,"https://www.conted.ox.ac.uk/courses/social-policy-and-welfare-states-in-the-21st-century-online?code=O20P518SOV","This course discusses the origins, development and functions of welfares states in high-income countries. Taking an international comparative approach, the course discusses theories, empirical research and policy challenges in a range of different countries. What is ‘the welfare state' and what purpose does it serve? How can we measure and explain welfare state change? What are the key similarities and differences between welfare states in different countries? How are welfare states affected by changing family structures, labour markets, population ageing, and migration? The course will provide a comprehensive discussion of these and other questions thus enabling students to critically engage with public and scholarly debates in this field.","10 hodín týždenne, spolu 100 hodín",null,"áno"]
["BU146","Budapest School for Central Bank Studies ","Measuring output gaps and star variables","Budapešť, Maďarsko",5,5,"2020-10-05","2020-10-09","1400 EUR","2020-09-14","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","Topics covered: Methods  to  extract  trends  and  cycles\nPermanent  and  transitory  decompositions.\nDating  turning  points\nCyclical vs  structural  changes\nFinancial and  real  cycles.",null,"nie","nie"]
["IP010","ictPRO","Python - základy programování","Brno, Česko",3,3,"2020-10-05","2020-10-07","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","Je možné sa pripojiť aj virtuálne","nie","len v prípade záujmu"]
["AC235","ACREA CR","Data mining - dolování znalostí z databází","Praha, Česko",3,3,"2020-10-12","2020-10-14","670 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/data-mining/data-mining-dolovani-znalosti-z-databazi/","Cílem kurzu je představit účastníkům základní úlohy a postupy data miningu a naučit je navrhovat predikční postupy. Účastníci se seznámí s dílčími procedurami používanými v jednotlivých fázích projektu a naučí se tyto procedury spojovat do smysluplného řešení. Výuka je koncipována obecně a jejím cílem není naučit konkrétní software, nicméně vzhledem ke složitosti algoritmů je kurz vyučován za pomoci softwaru IBM SPSS Modeler (PS CLEMENTINE).","Predpoklad: zZákladní statistické znalosti a zkušenosti z analýzy dat a běžná schopnost ovládání počítačů. Uživatelská znalost softwaru IBM SPSS Modeler (PS CLEMENTINE) se nepředpokládá.","nie","nie",1.9]
["IC006","International Training Centre","PUBLIC FINANCE FOR SOCIAL PROTECTION ANALYSTS","Turín, Taliansko",10,12,"2020-10-12","2020-10-23","3 795 EUR","2020-09-11","https://www.itcilo.org/courses/public-finance-social-protection-analysts","In recent years we have seen a remarkable growth in recognition of the role played by social protection in economic and social development. A growing number of countries have taken steps to expand social protection, while the extension of social protection coverage by 2030 is a target under Goal 1 of the Sustainable Development Goals. How to finance social protection systems nevertheless remains a central challenge, given the diverse array of other priorities for government spending. This course aims to equip social protection practitioners with the practical skills to assess financing options for social protection and develop financing plans tailored to a particular country. An important feature of the course is that it brings together the worlds of public finance and social protection. This intensive course provides a grounding in the core dimensions of public finance, including revenue collection and budget development, while building the understanding and skills necessary for analysis of social protection financing. While the course will include some exploration of the financing of social protection through employee/employer contributions, the main focus will be on schemes funded from general revenues.","Kurz je ukončený individuálnym zadaním. ","áno","nie"]
["JC206","Jacobs, Cordova and Associates","Applied Regulatory Impact Assessment (RIA) Training for Professionals","Rím, Taliansko",5,5,"2020-10-12","2020-10-16","3350 EUR","2020-09-12","http://regulatoryreform.com/ria-training/","This RIA course, by highly experienced public policy and RIA trainers, is expressly designed for policy officials and executives who use RIA to improve policy results, and private companies who wish to use RIA methods to communicate with government regulators. The course will benefit anyone using RIA in environmental, social and economic fields as well as stakeholders such as business associations, NGOs and consultants who want to understand better how to use RIA constructively.","V cene je zahrnuté stravovanie, ubytovanie a študijné materiály.","áno","áno"]
["CE173","Center of Excellence in Finance","Managing Public Sector Assets","Online",3,3,"2020-10-14","2020-10-30","0 EUR","2020-09-15","https://www.cef-see.org/20-acc7","This online course is set to provide a multidisciplinary view over the institutional/organizational, accounting and financial reporting aspects for sound and efficient public sector asset management. Better management of publicly owned assets and higher standards of accountability to the public at political and managerial level have been the main reasons for a number of reforms in a number of countries, worldwide. Taking both the academic/researcher and the practitioner perspective, the course will introduce several country cases and examples of best practices to go deeper into countries’ state of play, performance, conceptual and practical challenges in accounting for assets and developing public sector asset management systems, responding also to the challenges caused by COVID -19 pandemic.",null,null,"nie"]
["IP017","ictPRO","Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty","Praha, Česko",3,3,"2020-10-19","2020-10-21","10 900 Kč",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL.",null,"nie","len v prípade záujmu"]
["TS009","Tstat","ANALYSING MICRO DATA IN STATA","Frankfurt nad Mohanom, Nemecko",4,4,"2020-10-20","2020-10-23","2815 EUR, 200 EUR depozit","2020-10-01","https://www.tstattraining.eu/training/analysing-micro-data-stata/","TStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: linear models, count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding sessions focus on: i) the Control Function approach for the estimation of non-linear models with endogenous continuous variables; and ii) the latest Stata commands for the estimation of Extended Regression Models (ERM), which implement Maximum Likelihood estimators capable of simultaneously treating issues of Sample Selection and the presence of both endogenous regressors and treatment variables.","Kurz sa skladá z 2 modulov, modul A - 3 dni, modul B - 1 deň, spolu 4 dni. Je možné absolvovať aj iba jeden z modulov. Poplatok uvádzame za oba.\nPotrebné priniesť si laptop.VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. (DIČ)","nie","nie"]
["EU201","European Institute of Public Administration (EIPA)","Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027","Online",3,3,"2020-10-21","2020-10-27","900 EUR","2020-10-06","https://www.eipa.eu/product/eu-structural-cohesion-funds-3-days/","Member States are now conducting evaluations of their EU Structural and Cohesion Funds projects and programmes. Have they collected the best monitoring data and do they know how to measure impacts? Which evaluation method should be used – theory-based or counter-factual? As new programmes for 2021-2027 are now being prepared and negotiated, are we clear about what the draft New Regulations say about monitoring and evaluation requirements? This 3-day seminar has two stages:  Stage 1 (Day 1) deals with monitoring tasks, indicators and the Performance Framework. A Czech Ministry official will assess the practical challenges of 2014-2020 and the implications of the new requirements for 2021-2027. Stage 2 (Days 2 & 3) examines how to conduct “evaluations during the programming period”. Leading evaluation consultant-economists will focus on the two recommended evaluation methods – theory-based and counterfactual evaluations – and the choices for project / programme evaluations on the ground. We will also describe how to complete an ex post cost-benefit analysis (ex post CBA) for infrastructure and other large projects.",null,null,"nie"]
["IC012","International Training Centre","E-LEARNING COURSE ON MEASURING AND ANALYZING LABOUR MIGRATION","Online",29,40,"2020-10-26","2020-12-04","960 EUR","2020-09-21","https://www.itcilo.org/courses/e-learning-course-measuring-and-analyzing-labour-migration","Using a step-by-step approach, the course aims to equip national and international stakeholders with the necessary capacities to better measure and analyse labour migration and produce timely, high-quality, updated migration statistics based on internationally agreed standards and guidelines for evidence-based policy-making.",null,"nie","nie"]
["NS004","NATO School","NATO Alternative Analysis Course","Shrivenham, Veľká Británia",5,5,"2020-10-26","2020-10-30","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=128&TabId=155&keyword=&code=&startdate=&enddate=&exactdatematch=False&durationfrom=1&durationto=3&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","Understand NATO Alternative Analysis Capability and Theory.:  Given references, students will be able to explain the overall NATO Alternative Analysis (AltA) capability and critical thinking theories related to AltA application in accordance with the NATO Alternative Analysis Handbook. Explain Roles and Interactions of ALTA Facilitators.:  Given references, students will be able to describe the roles and interactions of AltA Facilitators, AltA focal points, problem owners, and the chain of command in accordance with the NATO Alternative Analysis Handbook. Apply ALTA Problem-Solving Techniques.:  Given scenarios, students will apply AltA techniques in support of problem-solving and decision-making across all NATO staff functions in accordance with the NATO Alternative Analysis Handbook. Comprehend the Four Phases of ALTA Process:  Given scenarios, students will apply the four phases of the AltA process in accordance with the NATO Alternative Analysis Handbook. ","NATO Unclassified. Participants : Military non-commissioned officers and officers (OR-5 through OF-5) or civilian equivalent who are assigned, or selected for assignment, to a position in a NATO/Partner Headquarters or Agency, a NATO/Partner subordinate military headquarters, unit or agency of any NATO country which fulfils responsibilities in support of NATO. Priority is given to NATO Command Structure Peacetime Establishment personnel.","nie","nie",null,"","","",""]
["AC232","ACREA CR","Diskriminační analýza","Praha, Česko",1,1,"2020-11-02","2020-11-02","200 EUR + 21% DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/diskriminacni-analyza/","Diskriminační analýza je technika klasifikace případů do dvou nebo více skupin pomocí souboru číselných proměnných a z nich odvozených syntetických kritérií. Model poskytuje výstupy pro klasifikaci/rozhodování mezi třídami nominální proměnné, studium závislostí mezi proměnnými a pro komparační analýzu skupin.\nPROGRAM KURZU:\n-model diskriminační analýzy pro dvě skupiny\n-tři role modelu: asociační, komparační a predikční (rozhodovací)\n-vstupy modelu\n-interpretace parametrů\n-rozhodování\n-závislosti a komparace\n-rozšíření modelu na více skupin",null,"nie","nie",1.9]
["IC007","International Training Centre","IMPACT EVALUATION OF PUBLIC POLICIES, PROGRAMMES AND PROJECTS","Turín, Taliansko",5,5,"2020-11-02","2020-11-06","2 285 EUR","2020-09-28","https://www.itcilo.org/courses/impact-evaluation-public-policies-programmes-and-projects","The aim of impact evaluation is to assess the relevance and effectiveness of a project, programme or public policy in bringing about a desired change in the well-being of the target population, and to measure improvements in pre-defined indicators in the sector concerned that can be attributed to the development intervention. An evaluation is usually undertaken during a defined period subsequent to an intervention, using a variety of techniques, including counterfactual impact, that measure/compare the results achieved with what would have happened (to the beneficiaries) had the project/programme intervention not taken place. Participants will be assisted in performing an impact evaluation of a selected project (case study), putting into practice what they have learned on the course.",null,"áno","nie"]
["LO236","London School of Economics and Political Science (LSE)","Regulation","Londýn, Veľká Británia",5,5,"2020-11-02","2020-11-06","3,995 GBP (4610 EUR)",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/regulation","The course is of great value whether you work within a regulatory organisation, or are somebody who is subject to regulation. Developing an understanding of how to frame issues in regulation will enable you to enhance your performance and your competitive advantage in the commercial context.\n\nCase studies, presentations, group discussions and problem solving activities are all used so that you will come away with strategies to lower your costs and enable you to design, or make the case for, efficient regulatory systems and responses.","Tuition Fee: £3,995\n\nIncludes all LSE tuition, course materials, daily lunches, and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","nie"]
["OU010","University of Oxford","Data Analysis in Ecology: Statistics for Ecologists & Field Biologists (5-week)","Online",25,36,"2020-11-04","2020-12-09","577 GBP",null,"https://www.conted.ox.ac.uk/courses/data-analysis-in-ecology-statistics-for-ecologists-field-biologists-5-week?code=O20C071D2Y","This part-time tutored online course in ecological statistics provides a thorough introduction to the key statistical principles and methods used by ecologists and field biologists. The course aims to create a rich workshop experience, encouraging direct student and tutor interaction and discussion.\n\nYou will receive highly practical expert training, helping you to\n\nimprove your ability to display ecological data\nuse descriptive and inferential statistics to analyse the results from field surveys and experiments\nintroducing you to QED statistics and the R statistical programming language",null,null,"nie"]
["PT012","PTV Group","Introduction to public transport modelling","Online",1,1,"2020-11-05","2020-11-05","522 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0102/","This training course serves as the basis for the use of the basic public transport functionality in PTV Visum. Users who are interested in detailed public transport modeling are recommended to attend the two-day Public Transport basic training course which includes both supply and demand.",null,"nie","nie"]
["CU008","Cranfield University","Sustainability in Defence","Shrivenham, Veľká Británia",5,5,"2020-11-09","2020-11-13","1750 GBP (2020 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/sustainability-in-defence","The benefits of attending this course will enable the customer to identify the key drivers and challenges of sustainability in defence providing an understanding of how sustainability considerations impact on the development of capabilities across defence globally through life",null,"nie","nie"]
["IC008","International Training Centre","Measuring informal employment","Online",29,40,"2020-11-09","2020-12-18","2285 EUR","2020-10-09","https://www.itcilo.org/courses/e-learning-course-measuring-informal-employment","This course aims to enhance national capacities to produce and collect data on informal employment and categories of informal workers as part of the diagnostic phase of the above intervention model. The course also aims to promote the collection of data on the number of entrepreneurs and economic units in the informal economy, and their characteristics, as an integral part of national labour statistics, following R.204 guidelines on promoting formalization at national level.The course targets statisticians, labour analysts and policy-makers from ministries of labour and other ministries (including but not limited to social protection, planning, agriculture and finance), and from workers' and employers' organizations.",null,"nie","nie"]
["JV002","Joint Vienna Institute","Tools and Policies for Inclusive Growth","Viedeň, Rakúsko",9,12,"2020-11-09","2020-11-20","0 EUR","2020-08-09","https://www.jvi.org/training/course-schedules/course-schedule-2020/course/20AA06.html","This two-week course aims to equip policymakers and their advisors with a solid understanding of the factors driving inclusive growth so as to improve the quality of their contribution to policy dialogue and analysis. The course consists of a mix of lectures, case studies, hands-on workshops, and participant presentations. It includes both theoretical and applied policy discussions on growth theories, the growth-poverty-employment nexus, labor market issues, and fiscal policy for inclusive growth. The course also deals with important issues such as competition, ease of doing business, education, innovation policies, and anti-corruption policies as drivers of inclusive growth and financial inclusion, among others. While not identical to the IMF’s course on Inclusive Growth (IG - see page xx), this course covers similar topics and materials. Therefore, applicants who have previously participated in the IG course will not be considered for participation in the TPIG course, and vice versa.","The IMF will require an approved language test for candidates whose working language is not one of the relevant course languages, and who have no evidence of proficiency in the course language(s). V cene sú zahrnuté raňajky, ubytovanie a pokrytie ďalšich výdavkov. Poskytuje sa aj zdravotné poistenie pre naliehavé prípady. ","áno","nie"]
["PT017","PTV Group","Creating a macroscopic 4 step transport model","Online",2,2,"2020-11-09","2020-11-10","1044 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0109/","The standard 4-step model generally includes the steps trip generation, trip distribution, mode choice, and assignment. In Visum the variants 4-step model with sequential calculation and Nested demand model can be used. The two variants have in common that both trip generation and assignment are carried out in separate steps, either before or after calculation of the demand matrices.This two-day course will first introduce you to the various modelling methods. After describing all demand models available in PTV Visum, the course covers in detail the subjects of model segmentation, data supply, calibration and validation. The actual implementation of these subjects in PTV Visum is explained and participants practice with a training model.",null,"nie","nie"]
["CL026","University College London (UCL)","Conducting a Life Cycle Assessment (LCA): from Theory to Practical Application","Londýn, Veľká Británia",4,4,"2020-11-09","2020-11-12","1200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/conducting-life-cycle-assessment-lca-theory-practical-application","This short course will give you an introduction to life cycle assessment (LCA) methods and how to apply them in real-life situations.\n\nLife cycle assessment (LCA) is a rapidly evolving tool used to determine impacts of products or systems over a range of environmental and resource issues. Applying this method of assessment is complex and difficult and translating the theory into a credible, transparent and applicable practice can be very challenging.\n\nThe course consists of two parts. You can book both parts together, or choose to do part 1 or 2 only.\n\nIn part 1 (two days) you'll develop a solid understanding of the process, data requirements and how to make use of the results. You'll then get the chance to apply this knowledge to real-life case studies.\n\nIn part 2 (two days) you'll learn how to apply systems thinking and LCA to assess environmental dimension of circular economy, including both technical and biological materials cycles. You'll then learn how to critically evaluate and compare circularity indicator tools with LCA.",null,null,"nie"]
["OU015","University of Oxford","Qualitative Research Methods","Oxford, Veľká Británia",5,5,"2020-11-09","2020-11-13","2000 GBP","2020-10-23","https://www.conted.ox.ac.uk/courses/qualitative-research-methods?code=O20C199B9Y","This module will provide an introductory overview of the principles and practice of qualitative research. Students will explore how people make sense of their lives, and recognise ways in which qualitative research bridges the gap between scientific evidence and clinical practice by examining the attitudes, beliefs, and preferences of both patients and practitioners. Participants will be introduced to the concepts underpinning qualitative research, learn to collect data using fundamental methods, including observation, interview and focus groups and become familiar with the techniques of thematic qualitative data analysis.",null,null,"nie"]
["AE006","AdeptEvents","A BUSINESS-ORIENTED APPROACH TO DATA MODELLING","Utrecht, Holandsko",2,2,"2020-11-23","2020-11-24","1 450 EUR + 21% DPH",null,"https://adeptevents.nl/event/data-modelling-a-business-oriented-approach-to-entity-relationship-modelling-2020?lang=en","On workshop completion, participants will be able to: Use entity-relationship modelling to depict facts and rules about business entities at different levels of detail, including conceptual (overview) and logical (detailed) models, Use top-down and bottom-up approaches to initiating development of a data model, Recognize the four basic patterns in data modelling, and when to use them, Effectively use definitions and assertions (“rules”) as part of data modelling, Use an intuitive approach to data normalization within an entity-relationship model, Apply various techniques for discovering and meeting additional requirements, Read a data model, and communicate with specialists using the appropriate terminology.","Early bird registration: 1 305€ - do 24.10.2020. V cene je zahrnutý aj obed. Pri prihlásení aj na kurz Advanced Data Modelling je zľava. T.j. 2 479,50 € v early bird režime a 2 755€ po eraly bird režime za oba kurzy.  ","nie","nie",1.07]
["CE175","Center of Excellence in Finance","Policy Drafting and Negotiation in Line Ministries","Ľubľana, Slovinsko",1,1,"2020-11-24","2020-11-26","0 EUR","2020-10-24","https://www.cef-see.org/20-lmr7","A precondition for successful implementation of structural reforms is to ensure that they are well-drafted, with clear statement of their expected impact and performance indicators. Well-stated measures build on effective communication and negotiation with various stakeholders, which can then be costed and integrated into the budget frameworks. The objective of this workshop is to improve writing of policy measures and support officials in transforming their ideas into clear statements, which entails also negotiating them with various stakeholders before their incorporation into the Economic Reform Programs. Target audience: public officials from line ministries and ministries of finance.",null,"nie","nie"]
["TI301","Timberlake Consultants","Introduction to Panel Data Analysis with Stata ","Online",1,1,"2020-09-18","2020-11-25","150 GBP (175 EUR)",null,"https://www.timberlake.co.uk/courses/training-stata-panel-data-online-september.html","Our web based Introduction to Panel Data Analysis with Stata course provides an overview of the most used panel data techniques. The course is ideal for beginner/intermediate level user who wants to learn how implement panel data estimation with Stata commands. The course will be very practical, employing plenty of examples and a constant stream of challenging exercises. Participants leave with the know-how and courage to independently perform their own panel data analysis.\n•Panel data analysis utilises more information (i.e. more degrees of freedom) and introduces more variability in the data and hence inference of model parameters can be more accurate;\n•Controlling for omitted / missing / unobserved factors. The growing availability of panel data has stimulated a rapid growth in both methodological approaches and applications during the last 20 years.\n\nThe course will be very practical; employing plenty of examples and a constant stream of challenging exercises. \n\nParticipants leave with the know-how and courage to independently perform their own panel data analysis.\n","Apply and pay before 17 September 2020\n\n18.9.2020 (1-4 pm GMT)\n25.11.2020 (1-4 pm GMT)",null,null,2]
["AE007","AdeptEvents","ADVANCED DATA MODELLING","Utrecht, Holandsko",1,2,"2020-11-27","2020-11-28","1 450 EUR + 21% DPH",null,"https://adeptevents.nl/event/datamodelleren-gevorderd-2019?lang=en","Three main themes will be explored: 1. The technical side of data modelling – getting better at modelling difficult, complex situations, 2. Developing and using data models in new ways, and in conjunction with other techniques, 3. The human side of data modelling – improving processes and communication skills. Topics will be covered with a discussion of the issue, a review of techniques, guidelines and examples, a brief workshop exercise, and a group solution and debriefing. The emphasis is on maximizing the delivery of content while keeping everyone engaged – the workshop has recently been extensively redesigned to focus on the topics that data modelling professionals have continually rated as the most concrete and useful.On workshop completion, participants will be able to spot various advanced situations (listed below in “Course Outline/Topics”) as they arise in their own modelling assignments, and deal with them efficiently and effectively.","Early bird registration: 1 305€ - do 24.10.2020. V cene je zahrnutý aj obed. Pri prihlásení aj na kurz A Business-oriented Approach to Data Modelling je zľava. T.j. 2 479,50 € v early bird režime a 2 755€ po eraly bird režime za oba kurzy.  ","nie","nie",1.07]
["TI297","Timberlake Consultants","Econometrics of Program Evaluation Using Stata ","Online",2,3,"2020-11-29","2020-12-01","450 GBP","2020-11-27","https://www.timberlake.co.uk/courses/econometrics-program-evaluation-stata-dec20.html","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.","Apply and pay before 28 November 2020",null,null,2]
["JV001","Joint Vienna Institute","Fiscal Sustainability","Viedeň, Rakúsko",10,12,"2020-11-30","2020-12-11","0 EUR","2020-09-06","https://www.jvi.org/training/course-schedules/course-schedule-2020/course/20IM37.html","This two-week course, presented by the Institute for Capacity Development, looks at fiscal sustainability as a requirement for macroeconomic stability and sustainable and inclusive long-term growth. It provides a thorough overview of how to assess fiscal sustainability from a policy and tools perspective. The course also discusses long-term fiscal pressures as well as fiscal risks and the early warning indicators used by the IMF and covers debt management strategies. Special attention is given to fiscal crises and the subsequent fiscal adjustments.","The IMF will require an approved language test for candidates whose working language is not one of the relevant course languages, and who have no evidence of proficiency in the course language(s). V cene sú zahrnuté raňajky, ubytovanie a pokrytie ďalšich výdavkov. Poskytuje sa aj zdravotné poistenie pre naliehavé prípady. ","áno","nie"]
["JV003","Joint Vienna Institute","Model-Based Monetary Policy Analysis and Forecasting","Viedeň, Rakúsko",10,12,"2020-11-30","2020-12-11","0 EUR","2020-09-06","https://www.jvi.org/training/course-schedules/course-schedule-2020/course/20IM38.html","This course, presented by the Institute for Capacity Development, provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary analysis and forecasting. It emphasizes analysis of monetary policy responses to macroeconomic imbalances and shocks. Participants are provided with the tools necessary to develop or extend the model to fit their own monetary policy framework. Country case studies are used to reinforce participant understanding and to help them compare and assess a variety of possible experiences.","The IMF will require an approved language test for candidates whose working language is not one of the relevant course languages, and who have no evidence of proficiency in the course language(s). V cene sú zahrnuté raňajky, ubytovanie a pokrytie ďalšich výdavkov. Poskytuje sa aj zdravotné poistenie pre naliehavé prípady. ","áno","nie"]
["TI298","Timberlake Consultants","Econometrics of Program Evaluation Using Stata ","Online",2,2,"2020-11-30","2020-12-01","300 GBP","2020-11-28","https://www.timberlake.co.uk/courses/econometrics-of-program-evaluation-ir-20.html","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods. \n\nAfter attending the course, the participant will be able to setting up and managing a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labor market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc., although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets. \n","Apply and pay before 29 November 2020",null,null,2]
["EU194","European Institute of Public Administration (EIPA)","Financial Management and Audit of EU Structural and Investment Funds - Moving from 2014-2020 to 2021-2027","Online",2,2,"2020-09-29","2020-09-30","500 EUR",null,"https://www.eipa.eu/product/financial-management-audit-eu-structural-investment-funds/","This online course will include discussion of the Coronavirus Response Investment Initiative as it relates to Cohesion Policy. We will look at the new emergency Amending Regulations. We will consider how the remaining €37 billion budget of 2014-2020 can be used for emergency health and economic development measures – supporting the health sector and the supply chain, SMEs, labour markets, research, development and technologies.\n\nThe progress of current programmes and projects will be severely impacted in most Member States. What will happen to delayed projects? Payment claims? Output targets and the Performance Framework? We will attempt to draw together experiences from around the EU.\n",null,"nie","nie "]
["BB001","Booth School of Business, University of Chicago","The Executive Finance Program","Chicago Booth, USA",5,5,"2020-12-07","2020-12-11","11800 USD","2020-09-22","https://www.chicagobooth.edu/executiveeducation/programs/finance/executive-finance-program","As a leader in your organization, the decisions you make can have a significant impact on the financial health of your company. This program will help you assess the value of your strategic decisions by giving you a broader understanding of finance and the interaction between business strategy and financial strategy.\n\nBy attending this program, you will:\n\nObtain a deeper understanding of how your organization’s economic outcomes are reflected in its financial statements, and how those statements are used inside and outside the organization.\nGain a sophisticated understanding of how to use financial statements to better understand the economics of other entities, including competitors.\nCommunicate more effectively with financial executives within the organization and with important external stakeholders such as analysts and investors.\nBetter understand how to use modern valuation techniques to evaluate investment opportunities, both projects and other businesses, including M&A and leveraged buyouts.\nLearn why optimizing management of capital, including liquidity and leverage, can affect firm value and how to value other businesses.\nUnderstand entrepreneurial finance, including private equity and venture capital.\nLearn how to manage external communications and capital to avoid unwanted attention from activist investors, short-sellers, and other corporate predators."]
["OU014","University of Oxford","Behavioural Science and Complex Interventions","Oxford, Veľká Británia",5,5,"2020-12-07","2020-12-11","2470 GBP","2020-11-27","https://www.conted.ox.ac.uk/courses/behavioural-science-and-complex-interventions?code=O20C051B9Y","This module will cover the scientific basis of behaviour change and how scientific principles (chiefly from psychology) can be harnessed to address patient behaviour (for example, how best to support lifestyle interventions) and professional behaviour (for example, improving adherence to evidence-based guidelines).\n\nAs well as introducing key theoretical perspectives in behavioural science, this module will also have a strong empirical component in which you will apply behavioural theories to inform the development of complex interventions and consider how these might be implemented and tested in practice. You will consider the tension between laboratory research on behaviour and the complexity of real-world action, and how to address that complexity in analysis and intervention.\n\nThe module will also examine how behavioural insights can be used in health policy (for example, ‘nudge’ interventions to influence population behaviour). You will explore case studies of behaviour change efforts in translational science, and how behavioural insights can improve risk management and patient safety. You will be able to share real-world case studies from your own experience.",null,null,"nie"]
["CE176","Center of Excellence in Finance","Cost Accounting Techniques","Ľubľana, Slovinsko",3,3,"2020-12-08","2020-12-10","0 EUR","2020-11-08","https://www.cef-see.org/20-acc8","The workshop aims to familiarize line ministry officials with the concepts and tools that support the analysis of costs in an effective and efficient manner. Cost accounting is an important managerial tool for improved understanding of actual resource allocation in service delivery, and offers the information needed for efficient and effective decision-making. Through presentation of theoretical concepts and practical exercises, the workshop will help participants understand the practical applicability and benefits of cost accounting in their institutions. Target audience: accountants of line ministries, financial officers and managers who apply cost accounting principles.",null,"nie","nie"]
["CE177","Center of Excellence in Finance","Fiscal Risk Assessment of State-Owned Enterprises","Ľubľana, Slovinsko",3,3,"2020-12-09","2020-12-11","0 EUR","2020-11-09","https://www.cef-see.org/20-bpe8","This workshop focuses on strengthening cash and debt management processes and coordination between ministries of finance (treasuries) and central banks. We will discuss the interactions between cash and debt management, the importance of good cash forecasts and how these can be improved, and the interrelationship within ministries of finance when cash and debt management are carried out by different departments or units, and between the ministry of finance and the central bank with their respective roles in managing fiscal and monetary policy. This initiative will look at the importance of and actions needed for ensuring comprehensive coverage of the treasury single account and at how cash forecasts can be improved to support more efficient use of government cash and better borrowing decisions. Target audience: public officials from ministries of finance involved in budget execution, and cash and debt management; officials from central banks involved in monetary operations.",null,"nie","nie"]
["TI299","Timberlake Consultants","Time Series Analysis & Modelling using Stata ","Online",2,2,"2020-12-10","2020-12-11","690 GBP","2020-12-03","https://www.timberlake.co.uk/courses/time-series-analysis-with-stata-usa-2020-dec.html","Time series data are nowadays collected for several phenomena in social and empirical sciences. Initially collected at year or quarter level, time series data are now used by marketing analytics, financial technology, and other fields in which data are collected at much smaller intervals (daily, hourly and even by the minute). This course focuses on the fundamental concepts required for the analysis, modelling and forecasting of time series data and provides an introduction to the theoretical foundation of time series models alongside a practical guide to the use of time series analysis techniques implemented in Stata 15. The course is based on the textbook by S. Boffelli and G. Urga (2016), Financial Econometrics Using Stata, Stata Press Publication. \nThe course will cover the following:",null,null,null,2]
["AC260","ACREA CR","Text Mining","Online",1,1,"2020-12-07","2020-12-07","245 EUR + 21% DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/velikost-vyzkumneho-souboru/","Cílem kurzu je seznámit účastníky s postupy pro vybírání výzkumných jednotek a s postupy sloužícími k určení velikosti výběru. Výuka klade důraz jak na vysvětlení principů, tak i na praktickou aplikaci úloh v IBM SPSS Sample Power.\nPROGRAM KURZU:\n- požadavek stanovení velikosti výběru jako součást požadavku na „Open Science“\n- základní designy pro možnost zobecňování\npopulace, cílová skupina, dostupná populace, výběr. Základní výběrové postupy, náhodné a nenáhodné vybírání.\n- logika statistického testování, alfa, beta a síla testu. Intervaly spolehlivosti a jejich aplikace.\npřehled postupů pro stanovení velikosti výběru\n- jednoduché postupy, praktické ukázky\n- postupy založené na síle testu v IBM SPSS SamplePower\n- postupy založené na požadované velikosti intervalu spolehlivosti v ESCI\n- postupy pro složitější statistické techniky, přehled software","Predpoklad: znalost základních statistických metod (popisná a konfirmační statistika, lineární regrese)","nie","nie",1.9]
["WB003","World Bank","Monitoring and Evaluation of Climate Mitigation Initiatives(Self-paced)","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/monitoring-and-evaluation-climate-mitigation-initiativesself-paced","After an introduction on the key concepts, the courses discusses why M&E is important, the basic components of a good M&E system, and international M&E practices. The second lesson covers monitoring and evaluation design and implementation for climate mitigation initiatives. The third and final lesson covers evaluation case studies and additional best practices for M&E of climate mitigation initiatives."]
["WB004","World Bank","Basics of Health Economics (Self-paced)","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/basics-health-economics-self-paced","Health economics play an important role in making health systems more effective, efficient, and equitable. This e-Learning course provides the foundations for participants to better understand health economics and its potential contribution to decision making in the health sector"]
["CU001","Cranfield University","Agricultural Lifecycle Analysis - more than just the carbon footprint","Cranfield, Veľká Británia",null,null,"TBA","TBA","580 GBP (670 EUR)",null,"https://www.cranfield.ac.uk/courses/short/agrifood/agricultural-life-cycle-assessment-more-than-just-the-carbon-footprint","Evaluation of the sustainability of agricultural products requires a holistic method of assessment such as the Life Cycle Assessment (LCA) and not just the carbon footprint. Agriculture has some specific features that contrast with other areas of environmental appraisal, e.g. long term effects in the soil, large variability of soil born emissions, interactions between animal performance, diet and soil type. ","Trvanie kurzu sú 2 dni. V prípade záujmu je potrebné kontaktovať univerzitu, ktorá poskytne prehľad termínov. ","nie","nie"]
["CU010","Cranfield University","Capability and Acquisition Series Module 2 - Acquisition","Shrivenham, Veľká Británia",null,null,"2021-02-01","2021-02-12","3500 GBP (3060 EUR)",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/capability-and-acquisition-series-module-2","This course will enable you to analyse and evaluate: The Defence Acquisition Model, MOD project life cycle, known as Concept Assessment Development Manufacture In-service Disposal / Termination (CADMID/T),  Defence Through Life Support, Programme and Project Management, The relationships between Portfolios, Programmes and Projects, UK MOD tendering and the tender assessment process. ",null,"nie","nie"]
["WH001","World Health Organisation","Health-enhancing physical activity (HEPA) Europe 2020 Conference","Nice, Francúzsko",3,3,"2021-09-01","2021-09-03","450 EUR","From 1 June 2021","https://hepaeurope2021.sciencesconf.org/","Université Côte d’Azur is pleased to invite you to the 16th annual meeting and 11th conference of HEPA Europe. The conference is jointly organized with WHO/Europe, in partnership with the City of Nice and the French Society of Public Health. This year, the HEPA Europe conference will focus on “An ecosystem approach to health-enhancing physical activity promotion”. Conference topics feature a wide range of issues, including policy, active transport, sport, determinants of physical activity, health outcomes, sedentary behavior and many others. The objective of the conference is to engage policymakers, professionals, scientists and other stakeholders, as well as citizens to engage in the field of health-enhancing physical activity promotion. The conference will be an opportunity to target and connect these audiences. The meeting in Nice is a unique opportunity to meet experts & influencers face-to-face; to network, mix and mingle; be inspired by leaders in the field and stay up-to-date with scientific, practice and policy developments in Europe and beyond. "]
["TR002","Turin School of Local Regulation","International Summer School on the Regulation of Local Public Services 23rd Edition ","Turín, Taliansko",null,null,"2021-09-06","2021-09-10","150 EUR",null,"https://turinschool.eu/iss","The School is designed to offer two weeks “full immersion”  in user charges regulation of local public services (e.g. waste, water, public transport, district heating, sport facilities) and is mainly addressed to undergraduate students at their last year, PhD and graduate students and officials from the Public Administration (municipalities, counties, regional bodies) and regulatory agencies.\n\n The course lasts two weeks and is articulated in three parts:\n - theoretical module\n - industry analysis\n - case studies (with a virtual regulatory final report prepared by attendants)\n","Apply by June 2021"]
["WB002","World Bank","Introduction to Air Quality Management (Facilitated)","Online",null,null,"TBA","TBA","0 EUR",null,"https://olc.worldbank.org/content/introduction-air-quality-management-facilitated","Designing and implementing an effective air quality management (AQM) program relies on understanding the issues affecting the region, raising awareness, collecting data and building capacity. The goal of this course is to provide a basic introduction to concepts of air pollution and its management. Topics include the health impacts of air pollutants, identifying sources of pollution and describing different formation mechanisms and impacts. The course also provides information on the principles of successful AQM programs, and effective program implementation for positive results. As an introductory course, this is intended to provide a survey of various concepts and elements of the AQM planning process. At the conclusion of this course, participants should be able to: o Identify the conditions and/or emission sources that lead to air pollution, its impacts and the multiple benefits of emission reductions. o Understand the reasons for and key elements of AQM programs. o Name common control strategies for various sectors that contribute to air pollution. o Explain the importance of stakeholder engagement, the role of cost-effectiveness or cost-benefit analysis and name different regulatory approaches for implementing emission control strategies (e.g. performance standards, cap-and-trade, incentive and voluntary programs)."]
["AC237","ACREA CR","SEMESTRÁLNÍ KURZ: Statistická analýza dat v praxi - od pojmú k interpretaci výsledkú","Praha, Česko",{"$f":"NETWORKDAYS(G766,H766,sviatky)","v":78},{"$f":"_xlfn.DAYS(H766,G766)+1","v":113},"2020-10-09","2021-01-29","1742 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/statisticka-analyza-dat-v-praxi/","Účastníci tohoto semestrálního kurzu získají ucelený přehled o nejčastěji využívaných postupech analýzy dat, které je možné aplikovat bez ohledu na statistický software. Seznámíme vás se základy pro analytickou práci a osvojíte si mnoho užitečných způsobů a postupů pro praxi. Účastnit se mohou všichni odborní pracovníci, kteří realizují statistické analýzy nebo tato témata vyučují.\n\nOdborný školitel vás seznámí se statistickými metodami od základních měr po vícerozměrné. Porozumíte významu a praktické hodnotě pojmů a postupů analýzy dat. Naše výuka klade důraz na pochopení významu statistických metod a pojmů. Pronikneme do podstaty analytické práce a předáme vám konkrétní metody analýzy dat.\nPROGRAM KURZU\n\nZákladní pojmy statistické analýzy dat\nDefinujeme a rozebereme si statistické pojmy, typy statistických analýz, inference, explorační, expirační a konfirmační techniky.\nPopisné statistiky\nRozebereme si popis statistických dat (tabelace a grafické znázornění). Povíme si, jak vytvářet statistické tabulky a grafy.\nMěření úrovně a heterogenity dat\nProbereme momentové a kvantilové míry, jako jsou průměry, mediány, kvartily, decily, rozptyl a měření vnitřní heterogenity souboru.\nTestování hypotéz a intervaly spolehlivosti\nBudeme se věnovat problematice neurčitosti v datech a rozhodování za neurčitosti, představíme si princip testování statistických hypotéz a jejich přijímání nebo zamítání.\nTesty hypotéz o průměrech (t-testy)\nAnalýza průměrů ve skupinách\nJde o jednoduchou analýzu rozptylu, porovnání skupinových průměrů a rozptylů, spojování skupin se stejnou úrovní vlastnosti, apriorní komparace (kontrasty), aposteriorní seskupování podle jedné a více proměnných (postupné vyhledávání interakcí na stropech).\nSoučástí tohoto bodu bude i vícefaktorová analýza rozptylu.\nKorelační analýza\nPovíme si o lineární korelaci, práci s korelační maticí a vlastnostech korelačních měr.\n\nDalší částí jsou parciální korelace, řetězení vlivů, společná příčina dvou vlastností (nepravé korelace).\n\nKorelační grafy.\n\nKorelace, kauzalita.\n\nRegresní analýza\nBudeme se věnovat lineární regresní analýze, interpretaci regresní přímky a popisu, vysvětlení a predikci této analýzy.\nProbereme nelineární vztahy.\nCo je vícenásobná regresní analýza, jaké jsou metody výběru represorů v rovnici a určení kvality modelu regresního vztahu.\nFaktorová analýza\nVysvětlíme si latentní vlastnosti a jejich indikace, faktory ovlivňující korelační matici, faktorová řešení, zobrazení faktorů a interpretaci, uložení a analýzu faktorů.\nMnohorozměrné škály (percepční mapy a zobrazení vztahů)\nPředstavíme si analýzu profilů – vztahovou mapu, percepční mapy a vnímání značek, segmentaci ve vztahovém poli.\nSeskupovací metody\nSegmentace a vytváření typologií seskupování případů z hlediska datového profilu, typy a typologie, segmenty trhu, analýza a interpretace typů.","KURZ PREBIEHA KAŽDÝ PIATOK DOOBEDA 3 MESIACE. Pri prihásení do 31.8. zľava 20%.","nie","nie",1.9]
["AC238","ACREA CR","Analýza a predikce časových řad","Praha, Česko",3,3,"2020-09-16","2020-09-18","653,40 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-a-predikce-casovych-rad/","Cílem kurzu je seznámit účastníky s metodami pro zpracování časových řad a naučit je tyto metody používat v praxi. Vyučovány jsou základní přístupy k časovým řadám i pokročilé metody (exponenciální vyrovnávání, ARIMA a ARIMA s vysvětlujícími proměnnými). U každé metody jsou probrány teoretické základy, ale zároveň je kladen silný důraz na její použití v situacích, se kterými se účastník setkává ve své praxi.",null,"nie","nie",1.9]
["AC239","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT I \n- dvourozměrné kontingenční tabulky četností","Praha, Česko",1,1,"2020-11-09","2020-11-09","296,45 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Shrnout postupy analýzy – testy hypotéz i explorační metody, které ukazují skrytou informaci v tabulce. Porozumět informaci v tabulce obsažené. Osvojit si metodologii systematické práce s tabulkou pro odhalení datové informace.\nPROGRAM KURZU\n\nčetnosti pro jevy – dichotomická proměnná a vícehodnotová kategorizovaná proměnná – typy a vznik dat\nrozložení četností a hypotéza dobré shody – chí-kvadrát\ntabulka 2×2: testy Pearsonův a McNemarův\nkomparace rozložení a vztahy mezi proměnnými – testy homogenity a nezávislosti\nstruktura vztahů: korespondence/korelace/residua – znaménkové schéma\n(jednoduchá) analýza korespondencí\nseskupování řádků\npoužití asociačních stromů pro analýzu tabulky\nmíry asociace a změny","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n16 320 Kč / 590 € + 21% DPH za 3 kurzy\n\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III ","nie","nie",1.9]
["AC240","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT II\n- vícerozměrné kontingenční tabulky četností","Praha, Česko",1,1,"2020-11-10","2020-11-10","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-ii/","Schopnost využít informace ze tří a vícerozměrných tabulek četností/procent pro kauzální a komparační úvahy. Získání orientace ve třídění vyšších stupňů. Zobrazení komplexních výsledků v názorné a přehledné formě.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n16 320 Kč / 590 € + 21% DPH za 3 kurzy\n\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III ","nie","nie",1.9]
["AC241","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT III\n- logaritmicko - lineární modely","Praha, Česko",1,1,"2020-11-11","2020-11-11","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/","Uvést do komplexní jednotné metodologie analýzy kontingenčních tabulek, která poskytuje řešení standardních statistických úloh ve vícerozměrných kontingenčních tabulkách, i řešení speciálních situací nestandardního charakteru, tj. speciálně formulovaných hypotéz v nestandardních datových situacích.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n16 320 Kč / 590 € + 21% DPH za 3 kurzy\n\nAnalýza kategorizovaných dat I + Analýza kategorizovaných dat II + \nAnalýza kategorizovaných dat III ","nie","nie",1.9]
["AC242","ACREA CR","Analýza latentních tříd","Praha, Česko",1,1,"2020-11-30","2020-11-30","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-latentnich-trid/","Cílem kurzu je seznámit účastníky se základním teoretickým zázemím analýzy latentních tříd a na základě srovnání s faktorovou analýzou ukázat rozdíly a podobnosti těchto technik. Po teoretickém rozboru následují praktické ukázky základních úloh (explorační i konfirmační přístup) a jejich vyhodnocení. V závěru kurzu bude krátce věnována pozornost následným analýzám, které využívají výsledky analýzy latentních tříd a krátce budou též představeny (bez procvičování) složitější modely navazující na analýzu latentních tříd. Nedílnou součástí kurzu je ukázka propojení programů IBM SPSS Statistics a R (pomocí IBM SPSS Statistics budou zadávány, v R počítány a v IBM SPSS Statistics prezentovány výsledky).",null,"nie","nie",1.9]
["AC243","ACREA CR","ANALÝZA ROZPTYLU:\nPřístupy k odhalování příčin a vlivů","Praha, Česko",2,2,"2020-12-08","2020-12-09","430 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/","Kurz představí účastníkům základní principy této metody a na praktických úlohách je provede nejčastějšími typy aplikací. Výuka je zaměřena především na analýzu rozptylu jednoduchého a dvojného třídění, testování podrobnějších hypotéz o průměrech ve skupinách pomocí kontrastů a post hoc testů a na analýzu kovariance.",null,"nie","nie",1.9]
["AC244","ACREA CR","Faktorová analýza","Praha, Česko",1,1,"2020-11-03","2020-11-03","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/faktorova-analyza/","Cílem kurzu je seznámit účastníky s praktickým využitím metod faktorové analýzy. Důraz je kladen na porozumění a interpretaci výsledků. Matematické aspekty modelu a algoritmů nejsou v kurzu zahrnuty, pokud to není nutné k praktickému zvládnutí metody.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n8 960 Kč / 320 € + 21% DPH za 2 kurzy\n\nFaktorová analýza + Seskupovací analýza","nie","nie",1.9]
["AC245","ACREA CR","KLASIFIKAČNÍ A ASOCIAČNÍ STROMY","Praha, Česko",1,1,"2021-01-26","2021-01-26","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/klasifikacni-a-asociacni-stromy/","Cílem kurzu je seznámit posluchače s principy vytváření klasifikačních stromů, s jejich aplikacemi a poskytnout znalosti potřebné k vytváření stromů. Látka bude ilustrována a procvičována na praktických příkladech. Posluchači získají dostatečné znalosti pro samostatné vytváření klasifikačních stromů.",null,"nie","nie",1.9]
["AC246","ACREA CR","KORELAČNÍ ANALÝZA","Praha, Česko",1,1,"2020-10-05","2020-10-05","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","Seznámit posluchače s korelačními měrami pro číselná data a s jejich aplikačním využitím v různých praktických situacích. Látka je ilustrována a procvičována na reálných datech z analytické praxe. Posluchači získají dostatečné znalosti pro samostatné korektní využívání korelací ve svých vlastních analýzách.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n13 440 Kč / 480 € + 21% DPH za 3 kurzy,\n\nKorelační analýza + Regresní analýza I + Regresní analýza II ","nie","nie",1.9]
["AC247","ACREA CR","KORESPONDENČNÍ ANALÝZA","Praha, Česko",1,1,"2020-10-26","2020-10-26","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korespondencni-analyza/","Cílem kurzu je poskytnout základy jedné z nejrozšířenějších statistických metodologií pro analýzu mnohorozměrných kategorizovaných dat.",null,"nie","nie",1.9]
["AC248","ACREA CR","LOGISTICKÁ REGRESE","Praha, Česko",1,1,"2021-01-27","2021-01-27","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","Cílem kurzu je seznámit účastníky s metodou logistické regrese, jejími výhodami a nevýhodami. Důraz je kladen především na interpretaci vlastního modelu a jeho výstupů.",null,"nie","nie",1.9]
["AC249","ACREA CR","MNOHOROZMĚRNÉ ŠKÁLOVÁNÍ","Praha, Česko",1,1,"2020-12-21","2020-12-21","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/mnohorozmerne-skalovani/","Cílem je seznámit posluchače s velmi oblíbenou grafickou metodou popisu vztahů a s jejím aplikačním využitím v různých praktických situacích. Posluchači získají dostatečné znalosti pro samostatné využívání metody ve svých vlastních analýzách.",null,"nie","nie",1.9]
["AC250","ACREA CR","MODELOVÁNÍ STATISTICKÝCH VZTAHŮ\n(IBM SPSS AMOS)","Praha, Česko",3,3,"2021-01-18","2021-01-20","653 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/modelovani-statistickych-vztahu/","Praktické schopnosti sestavování modelů kauzálních procesů a testování těchto modelů na konkrétních datech. Aplikační důraz je podtržen příklady z odborné literatury. Osvojíte si metodologii tvorby kauzálních modelů, interpretaci grafické reprezentace modelů a zadávání modelů v uživatelsky příjemném a pro analytika jednoduchém programu IBM SPSS Amos.",null,"nie","nie",1.9]
["AC251","ACREA CR","REGRESNÍ ANALÝZA I","Praha, Česko",1,1,"2020-10-06","2020-10-06","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","Cílem jednodenního kurzu je porozumět principu a významu regresního modelování a aplikacím regresních rovnic. Specifické vlastnosti modelů a ověřování předpokladů modelu jsou obsahem následného kurzu Regresní analýza II.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n13 440 Kč / 480 € + 21% DPH za 3 kurzy,\n\nKorelační analýza + Regresní analýza I + Regresní analýza II ","nie","nie",1.9]
["AC252","ACREA CR","REGRESNÍ ANALÝZA II","Praha, Česko",1,1,"2020-10-07","2020-10-07","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","Cílem kurzu, je rozšířit aparát modelování vztahů pomocí lineární regrese tak, aby výsledné rovnice maximálně odpovídaly datové realitě. Schopnost využití postupů evaluace pro vhodný popis reálných vztahů, hlubší vysvětlení a přesnější predikce.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n13 440 Kč / 480 € + 21% DPH za 3 kurzy,\n\nKorelační analýza + Regresní analýza I + Regresní analýza II ","nie","nie",1.9]
["AC253","ACREA CR","SESKUPOVACÍ (KLASTROVÁ) ANALÝZA","Praha, Česko",1,1,"2020-11-04","2020-11-04","242 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/seskupovaci-analyza/","Cílem kurzu je seznámit posluchače s principy základních seskupovacích metod (hierarchické seskupování, K means a dvoustupňové seskupování) a ukázat možnosti jejich využití. Důraz je kladen na praktické aplikace metod, na porozumění a interpretaci výsledků a výběr vhodné metody pro daný problém. Matematické aspekty modelu a algoritmů jsou zahrnuty pouze pro vysvětlení významu a principů seskupování.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n8 960 Kč / 320 € + 21% DPH za 2 kurzy\n\nFaktorová analýza + Seskupovací analýza","nie","nie",1.9]
["AC254","ACREA CR","STANOVENÍ VELIKOSTI VÝZKUMNÉHO SOUBORU\n","Praha, Česko",1,1,"2021-06-02","2021-06-02","200 EUR + 21% DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/velikost-vyzkumneho-souboru/","Cílem kurzu je seznámit účastníky s postupy pro vybírání výzkumných jednotek a s postupy sloužícími k určení velikosti výběru. Výuka klade důraz jak na vysvětlení principů, tak i na praktickou aplikaci úloh.",null,"nie","nie",1.9]
["AC255","ACREA CR","ÚVOD DO BAYESOVSKÉ ANALÝZY DAT","Praha, Česko",1,1,"2021-01-25","2021-01-25","296 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/uvod-do-bayesovske-analyzy-dat/","Cílem kurzu je seznámit účastníky se základní logikou bayesovské statistiky, vysvětlit základní pojmy a postupy a na jednoduchých analogiích k frekvenční statistice (t-testy, analýza rozptylu a regresní analýza) ukázat její přednosti. Výuka klade důraz především na vysvětlení principů, praktickou aplikaci úloh v IBM SPSS Statistics a interpretaci výsledků.",null,"nie","nie",1.9]
["AC256","ACREA CR","ZÁKLADY STATISTIKY PRO ANALÝZU DAT","Praha, Česko",3,3,"2020-10-19","2020-10-21","581 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/","Cílem kurzu je uvést účastníky do základů statistické práce a analýzy dat, seznámit je s pojmy, metodami a prostředky pro:\n• popis souboru\n• komparaci skupin\n• asociační a korelační analýzu.\nTémata jsou rovnoměrně rozložena mezi analýzu číselných dat a četností (procent). Posluchači si rovněž osvojí návyky práce s profesionálním statistickým softwarem IBM SPSS Statistics.",null,"nie","nie",1.9]
["AC257","ACREA CR","SEMESTRÁLNÍ KURZ:\nData mining - cesta od dat k akční znalosti","Praha, Česko",78,113,"2020-10-08","2021-01-28","1948 EUR",null,"https://kurzystatistiky.cz/kurzy/data-mining/semestralni-kurz-data-mining/","Semestrální kurz je založen a strukturován podle obecně přijaté metodologie CRISP-DM (Cross Industry Standard Process for Data Mining). Ve čtrnácti půldenních lekcích se posluchači seznámí s přístupy a principy metod data miningu a na konkrétních datech z různorodých datových zdrojů si podrobně procvičí postupy ze všech šesti fází metodologie CRISP-DM. Probíraná látka je prokládána praktickými příklady. S účastníky diskutujeme dostupnost potřebných dat, nastavení predikčních algoritmů a nástrahy nasazovaní řešení do procesů. Důraz je kladen na získání dostatečného nadhledu nad řešenou úlohou, jejíž řešení je třeba dekomponovat na dílčí etapy. Výuka probíhá za podpory profesionálního dataminingového softwaru IBM SPSS Modeler (PS CLEMENTINE). Tento software bezplatně zapůjčíme účastníkům kurzu po celou dobu jeho trvání.","KURZ PREBIEHA KAŽDÝ ŠTVRTOK DOOBEDA 3 MESIACEPŘI PŘIHLÁŠENÍ DO 31. 8. 2020 - SLEVA 20%\n35 680 Kč / 1 288 € + 21% DPH","nie","nie",1.9]
["AE010","AdeptEvents","AGILE DATA WAREHOUSE DESIGN & DIMENSIONAL MODELING","Utrecht, Holandsko",3,3,"2020-11-02","2020-11-04","2408 EUR",null,"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en","Agile Data Warehouse Design covers step-by-step techniques for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders.\n\nAgile techniques emphasise the early and frequent delivery of working software, stakeholder collaboration, responsiveness to change and waste elimination. They have revolutionised application development and are increasingly being adopted by DW/BI teams. This course provides practical tools and techniques for applying agility to the design of database schemas – the earliest needed and most important working software for BI.\n\nThe course contrasts agile and non-agile DW/BI development and highlights the inherent failings of traditional BI requirements analysis and data modeling. Via class room sessions and team exercises attendees will discover how modelstorming (modeling + brainstorming) data requirements directly with BI stakeholders overcomes these limitations.","EARLY BIRD\nThe Early Bird rate of € 1.791,00 expires (*) after 3 October 2020. Register now and receive discount!\n","nie","nie",1.07]
["AE011","AdeptEvents","WORKING WITH BUSINESS PROCESSES","Utrecht, Holandsko",2,2,"2020-11-25","2020-11-26","1755 EUR",null,"https://adeptevents.nl/event/working-with-business-processes?lang=en","Objectives:\nOn workshop completion, participants will be able to:\n– Identify a “true” business process, and specify its boundaries and goals\n– Describe the key factors that differentiate process-oriented approaches from functionally-oriented (or organizationally-oriented) approaches\n– Employ a variety of techniques to keep stakeholders involved, and promote “process orientation”\n– Model process workflow at progressive levels of detail using Swimlane Diagrams\n– Stop process modeling at the appropriate point, and move on to other techniques or phases\n– Conduct a structured assessment of a business process\n– Develop a process redesign while avoiding common (and serious!) pitfalls.\n\nKey principles are illustrated throughout with workshop exercises and discussions. Business professionals with responsibility for improving their processes and business analysts needing solid techniques will both benefit from this workshop. The material complements the techniques covered in our Data Modelling workshops, which collectively provide the analyst with a powerful, integrated set of techniques.",null,"nie","nie",1.07]
["BE004","Bank of England","Modelling with Big Data & Machine Learning: Measuring Economic Instability","Online",3,3,"2020-11-04","2020-11-06","0 EUR",null,"https://www.bankofengland.co.uk/events/2020/november/modelling-with-big-data-and-machine-learning-measuring-economic-instability","The confluence of access to large granular data sources (‘Big Data’) and the rapid advance of modelling techniques like those from machine learning promises new insights into the economy and a larger information set for policymakers. The Bank of England (BoE), the Data Analytics for Finance and Macro (DAFM) Research Centre at King’s College London and the Federal Reserve Board have recently initiated a series of annual scientific conferences to discuss these advances and how they pertain to Measuring Economic Instability.\n\nThe Coronavirus pandemic and the widespread economic downturn in the wake of the resulting ‘lockdown’ in many countries have spurred an unprecedented output of research in multiple disciplines. This research is serving as a vital guide to policymakers in governments, central banks and international institutions around the globe as events unfold. Crucial roles in this information gathering and evaluation process are played by novel high-frequency and low-latency data sources, as well as non-conventional modelling techniques like machine learning, artificial intelligence, and interdisciplinary approaches such as those from epidemiology and economics. The conference aims to provide an opportunity to discuss recent scientific advances, especially with a focus on aiming at quantifying potentially rapid economic fluctuations, and to connect policy makers and academia.\n\nWe invite you to submit empirical, methodological or theoretical work leveraging on new granular data sources or exploring recent analytical development relevant to decision making. We note that submissions do not have to be explicitly about Covid-19 but should be relevant for the assessment of large economic and financial shocks, ideally applicable in the current situation. ",null,"nie","nie"]
["BE005","Bank of England","6th BdF-BoE International Macroeconomics Workshop: Micro and Macro in International Finance","Online",1,1,"2020-12-03","2020-12-03","0 EUR",null,"https://www.bankofengland.co.uk/events/2020/december/6-bdf-boe-international-macroeconomics-workshop","The International Directorate of the Bank of England and the International Macroeconomics Division of the Banque de France are organizing a joint workshop on 3 December 2020 on “Micro and macro in international finance”. Liliana Varela (LSE) has accepted to give the keynote lecture.\n\nWhile the workshop is planned to take place in London at the Bank of England, the presumption is that the workshop will take place virtually due to the current health crisis.\n\nWe invite theoretical and empirical research covering any aspect of international finance, but with particular emphasis on the use of micro data to answer macro questions.\n\nTopics of special interest include (but are not restricted to):\n\nBank vs non-bank finance\nFirm balance sheet channels\nCapital flows and misallocation\nForeign exchange exposure and hedging\nHeterogeneous effects of capital flows on investment\nThe effects of Covid on firms’ funding needs\nThe effects of Covid on international credit supply\nCapital flows, asset prices and macroeconomic dynamics",null,"nie","nie"]
["BE006","Bank of England","Macro-finance workshop 2021","Londýn, Veľká Británia",2,2,"2021-05-27","2021-05-28","0 EUR",null,"https://www.bankofengland.co.uk/events/2021/may/macro-finance-workshop-2021","The aim of this workshop is to invite Academics and central bankers from all around the world to present the frontiers of research in macro-finance. The workshop is organized by the Centre for Central Bank Studies (BoE) together with the MacCaLM Project (University of Edinburgh).\nThe 2021 programme will be coming soon.",null,"nie","nie"]
["BS001","Behörden Spiegel","Berlin Security Conference","Berlín, Nemecko",2,2,"2020-11-24","2020-11-25","80 EUR",null,"https://www.euro-defence.eu/","The congress and exhibition, held every autumn since 2001 in Berlin, draw about 1 200 participants from European and non-European countries, the European institutions, and NATO. The 19th Berlin Security Conference will take place at the Vienna House Andel’s Berlin on 24 and 25 November 2020.\nBerlin Security Conference at a glance:\nInternational forum for security and defence\nGathering of political and military decision-makers\nParticipants from armed forces and security organisations\nKeynote speeches by Ministers / State Secretaries, EU Commissioners and business leaders\nMain programme with international political, military and business leaders\nPanel sessions with international experts\nExhibition with leading systems solutions manufacturers\nMedia coverage by the print press, radio and television\nCongress languages English and German",null,"nie","nie"]
["CM005","Cemmap","The Econometrics of Market Microstructure and Optimal Contracting","Londýn, Veľká Británia",2,2,"2021-03-08","2021-03-09","240 GBP (266 EUR)",null,"https://www.cemmap.ac.uk/event/id/1766","This course analyzes identification and estimation in models of market microstructure and optimal contracting, with one eye on future reseach. It covers applications in labor supply, managerial compensation, procurement contracts and nonlinear pricing. To convey a sense of the problems planners face course participants will also play each other in several real time experiments.\n\n\nOur point of departure is to exploit a well-known equivalence between a social planner’s problem and a competitive equilibrium with complete markets as the basis for estimation.",null,"nie","nie"]
["CM006","Cemmap","Missing Data in Longitudinal and Linked Surveys","Online",1,1,"2020-09-18","2020-09-18","0 EUR",null,"https://www.cemmap.ac.uk/event/id/1804","This workshop brings together statisticians, econometricians, survey designers, and data users to discuss new results and open questions in this important research area. The workshop will discuss practical experience in collecting and using panel data, advances in statistical and econometric methods to address missing data problems, and applications of these methods to important research questions. ",null,"nie","nie"]
["EU302","European Institute of Public Administration (EIPA)","Combining EU Cohesion Policy Grants and Loans with EFSI and InvestEU Instruments","Online",3,3,"2020-10-07","2020-10-09","700 EUR","2020-09-28","https://www.eipa.eu/product/combining-eu-structural-and-investment-funds/","This 3-morning online course examines the mixing of EU grant funding with loan funding, guarantees and other financial instruments. In particular, we will describe how Structural Funds and the Cohesion Fund can currently be used alongside the EFSI instrument, the European Fund for Strategic Investment, or InvestEU in the next programming period.\n\nEFSI (part of the “Juncker Plan”), working with regular EIB loans, exists to lever private funding into projects with a higher degree of risk. An EIB official will describe how EFSI works and how the funding can be accessed – how it is structured and managed, and in what circumstances can it be used. Examples from around the EU will be presented.\n\nWith the help of two highly experienced EC officials, we will examine:\n\nthe increasing role that Financial Instruments are playing within EU Cohesion Policy\nhow ESI Funds are being used in the implementation of major projects\nhow Member States should approach the new InvestEU instrument and how to complete Annex V of the new draft CPR",null,"nie","nie",2]
["ED001","European Security and Defence College","Comprehensive Protection of Civilians (PoC) Course","Viedeň, Rakúsko",4,6,"2020-11-15","2020-11-20","0 EUR","2020-09-25","https://esdc.europa.eu/enlistapi/Invitation%20for%20Applications%20CPOC%20II%202020%20and%20additional%20information-compressed.pdf","The content of this training course reflects a broad interpretation of protection, which goes beyond the provision of protection from physical violence but also includes the creation of larger protective environments and the implementatio of activities which enhance the rights of individuals in accordance with international humanitarian law, human rights and refugee law. The six-day training course prepares senior decision-makers of armed forces, police, political bodies and nongovernmental organizations, as well as individual civilian experts involved in peacekeeping and/or international crisis management at the operational level for the challenges in protecting civilian populations in contexts of armed conflict. ","Participants are required to complete selected eLearning modules in the preparatory phase preceding the residential part of this course. The timely completion of these eLearning modules is a precondition for receiving the course certificate. ","nie","nie"]
["ED003","European Security and Defence College","Recovery and Stabilisation Strategies","Viedeň, Rakúsko",4,4,"2020-10-27","2020-10-30","40 EUR","2020-08-15","https://esdc.europa.eu/enlistapi/1%20Invitation%20for%20Applications%20and%20Information%20RSS%202020%20ESDC.pdf","The course reviews the comprehensive policies of key stakeholder organizations of international peace operations, analyses challanges, shortfalls and best practices in view of long-term stabilisation and recovery processes and provides new inspiration from peer to peer exchanges and networking. This year the course will have a special focus accordingly and address the reôated challenges for gender sensitive considerations in recovery processes and highlight the potential of women for contributing to peace and security. Specific case studies and policy considerations will be discussed with senior experts during an entire day of the course. ","Participants are expected to be senior professionals and have significant expertise in their respective areas of prefessional competence related to post-conflict recovery and stabilisation. Obed v cene poplatku za kurz.","nie","nie"]
["ED006","European Security and Defence College","“Climate Change and Security","Brusel, Belgicko",3,3,"2020-10-06","2020-10-08","0 EUR","2020-09-10","https://esdc.europa.eu/enlistapi/ESDC_Climate%20Change%20and%20Security_Invitation_DRAFT-merged-compressed.pdf","To this end, the interactive training seminar will increase participants’ understanding of : global\nclimate change scenarios and the risks these imply for peace and international security ; key\ninternational and European actors, policies and critical debates in the climate change and\nsecurity context, especially as regards the UN Security Council ; the concepts of compound\nclimate-fragility risks and integrated action for resilience-building, how they link to conflict\nprevention, and what this implies for EU external action, peace operations and CSDP\noperations ; the adaptation of our armed forces to climate change, with new missions and a\ngreener defence model ; climate-fragility risks with a case study ; and how to account for\nclimate-fragility risks in the day-to-day work of EU and Member state institutions and services.","An online backup will be considered depending on\nthe travel restrictions. The decision will be taken at the end of August\nAttendance of the course is mandatory on each day. A certificate will be awarded to those\ncourse participants who have completed the full course, including the IDL phase. ","nie","nie"]
["ED007","European Security and Defence College","CRITICAL INFRASTRUCTURES IN THE CONTEXT OF DIGITIZATION","Viedeň, Rakúsko",3,3,"2020-09-23","2020-09-25","0 EUR",null,"https://esdc.europa.eu/enlistapi/Invitation%20Letter%20CICD%20COURSE%202020%20signed.pdf","The objective of this three-day course is to provide participants with an overview on cyber\nsecurity challenges and mitigation strategies of critical infrastructures as of today as well as\nthe threats and challenges of the future. In this course you will get an overview on Critical\nInfrastructure and Associated Computer-based Systems, on Strategies for Protecting Critical\nInformation Infrastructure against Cyber-attack as well as on New Threats to CI and\nmitigation approaches. In addition, we will provide you with ideas on Risk Management at\nthe National and/or Regional Level and how to model cascading effects and\ninterdependencies between CIs within a specific geographical area. ",null,"nie","nie"]
["GE230","GESIS – Leibniz Institute for Social Sciences","Sequence Analysis in the Social Sciences (Online-Workshop!)","Online",3,3,"2020-09-21","2020-09-23","360 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x32B335B36D744C62B190D5416A78C45D","This workshop introduces sequence analysis for social science research. Sequence analysis, originally developed in biology to analyze strings of DNA, has attracted increasing attention in the social sciences for the analysis of longitudinal data. Most applications study life course processes, including labor market careers, transitions to adulthood, or family formation. This workshop covers longitudinal data management (only briefly; with Stata), basic techniques of sequence analysis (with Stata, but mainly with R), as well as recent methodological developments tailored at social science research questions. Topics include different ways of calculating distances between sequences, cluster analysis after sequence analysis, sequences visualization, techniques for analyzing sequences' multidimensionality and the association between sequences' unfolding over time and independent variables. All methods are demonstrated with hands-on examples using Stata (SQ package, for data preparation and basic sequence analysis) and R (TraMineR package).","Participants are expected to have some basic knowledge in preparing handling (longitudinal) data in Stata or R and to be familiar with basic quantitative methods (e.g., regression analysis).","nie","nie",2.5]
["GE231","GESIS – Leibniz Institute for Social Sciences","Introduction to the analysis of structural equation models for cross-sectional data","Online",2,2,"2020-09-28","2020-09-29","180 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x0DC029F705BD4657A3B526F4531854DD","Translation history will soon only be available when you are signed in and will be centrally managed within My Activity. Past history will be cleared during this upgrade, so make sure to save translations you want to remember for ease of access later.\nGot it\nSozialwissenschaftliche Forschung steht häufig vor dem Problem, dass soziale Phänomene wie z.B. ausländerablehnende Einstellungen nicht direkt beobachtbar sind. Solche latenten Konstrukte müssen daher mittels Messmodellen operationalisiert werden. Die Strukturgleichungsmodellierung (SEM) ist ein Verfahren, mit dessen Hilfe Messmodelle empirisch getestet sowie kausale Zusammenhängen zwischen latenten Variablen überprüft werden können.  \nDer Workshop führt in die Logik der Strukturgleichungsmodellierung ein und verfolgt die anwendungsbezogene empirische Analyse (u.a. mit Daten des Allbus) mit gängiger SEM-Software (v.a. Mplus, aber auch mit Anschauungsbeispielen für R (package lavaan) und AMOS).\nZu den Themen gehören u.a.:\n- Spezifikation und Schätzverfahren\n- Konfirmatorische Faktorenanalyse\n- Pfadanalyse\n- Moderator- und Mediatoreffekte\n- Multigruppenanalyse und Test auf Messäquivalenz\n- Methodische Fallstricke\n- Einführung in SEM-Software\n953/5000\n","Kurz v nemeckom jazyku ","nie","nie",2.5]
["GE232","GESIS – Leibniz Institute for Social Sciences","Introduction to Causal Mediation Analysis","Mannheim, Nemecko",2,2,"2020-10-06","2020-10-07","960 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB2D995D52FEB4BE9ABC5B7D8E7381268","Investigating causal relations often leads to questions regarding the processes and mechanisms underlying a specific effect. Is an effect mediated by another variable? In practice, this question is frequently assessed by analyzing changes in regression coefficients after adding the putative mediator to the model. The modern literature on causal inference demonstrates, however, that this approach yields valid conclusions regarding mediation only under specific assumptions that are rarely made explicit in applied research.\n \nThis course uses graphical causal models and counterfactual definitions of direct and indirect effects to make transparent the conditions under which mediation analysis yields valid conclusions. In addition to the discussion of classic methods for mediation the course also introduces modern regression-based methods and inverse probability weighting. Each section of the course is accompanied by practical exercises, including the estimation of direct and indirect effects in Stata (and R). As the course concludes, interested participants will have the opportunity to present their own mediation analysis and discuss the implications of causal mediation analysis for their own research.","Participants should have a good working knowledge of descriptive and inductive statistics as well as linear and nonlinear regression (such as logistic regression). Experience with Stata or R will be useful.","nie","nie",2.5]
["GE233","GESIS – Leibniz Institute for Social Sciences","Using Social Media Data for Research: Potentials and Pitfalls","Kolín, Nemecko",2,2,"2020-11-09","2020-11-10","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xC74EBBB5912F49988BE6CB9E7EE29C73","The activities and interactions of hundreds of millions of people worldwide are recorded as digital traces including social media data. These data offer increasingly comprehensive pictures of both individuals and groups on different platforms, but also allow inferences about broader target populations beyond those platforms. Notwithstanding the many advantages, studying the errors that can occur when digital traces are used to learn about humans and social phenomena is essential. Incidentally, many similar errors also affect survey estimates, which survey designers have been addressing for decades using error conceptualization frameworks, most notably the Total Survey Error Framework (TSE).\nIn this tutorial, we will introduce the audience to the concepts and guidelines of the TSE and how they are applied by survey practitioners in the social sciences, guided by our interdisciplinary background and experience. Having understood the 'total error' perspective towards surveys, we will introduce our own conceptual framework to diagnose, understand, and avoid errors that may occur in studies that are based on digital traces of humans.\nTo help understand the utility of the error framework for digital traces, we apply it to diagnose and document errors in existing computational social science studies such as Understanding Political Opinion using Twitter and Using Search Queries for Inferring Health Statistics.\nWe also ask participants to apply the error framework to hypothetical scenarios utilizing novel forms of digital traces like mobility data as well as their own area of research, using social media datasets openly available on the web.",null,"nie","nie",2.5]
["GE234","GESIS – Leibniz Institute for Social Sciences","Topic Modeling in R","Mannheim, Nemecko",3,3,"2020-11-11","2020-11-13","720 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x148C9E11AC1C4165A1A8B6B4323B5443","This workshop will give an introduction to topic modeling using R. The first day of the workshop we will introduce R, Rstudio, and tidyverse. This day can be safely skipped by students or researchers with experience in using R.\n \nIn the second day, we will introduce topic modeling and the principles of automatic text analysis and topic modeling. We will explain the basic assumptions of bag-of-words analysis, unsupervised clustering, and the dirichlet distribution. We will use the quanteda and topicmodels packages for doing the analyses and LDAviz and corpustools for visualization and validation.\n\nThe third and final day we will first look in depth at how fitting an LDA model with Gibbs sampling actually works and look at the various parameters and choices. We will also look at linguistic preprocessing using the spacy package. Finally, we will introduce alternative topic models, from Dynamic and Correlated topic models to Structural Topic Models. We will use the stm package to show how to estimate a structural topic model with time or source as covariates, and show how to analyse and interpret the results.\n","No specific prior knowledge is required, but a basic knowledge of math and statistics will help understand the algorithms. Participants without knowledge of R are strongly advised to install R and RStudio beforehand and make themselves familiar with the software. All participants are advised to browse through chapters 9-16 of R4DS (https://r4ds.had.co.nz/.).","nie","nie",2.5]
["GE235","GESIS – Leibniz Institute for Social Sciences","Data Management, Advanced Programming and Automation using Stata","Kolín, Nemecko",1,2,"2020-11-16","2020-11-17","360 EUR ",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x745897F7000F40D68817240A641F90BA","During the workshop, participants will learn how to efficiently handle problems of data\nmanagement with Stata, and how to avoid repetition by automating (and programming) tasks. The workshop is not an introduction to Stata, but will feature \"best practice\" of Stata usage in order to modify existing do-files (or create new ones) to be reproducible, maintainable and efficient. The tips and tricks will refer mainly to data preparation and management, but they can also be used or automation of data analysis. The workshop will present some ideas about these topics, but focus on the interactive work where participants shall learn producing efficient Stata syntax by themselves.","Participants should have at least moderate experience in using Stata; i.e. they should know about data manipulation commands like reshape and merge, and be capable to regularly use them. They are supposed to prepare a short verbal presentation featuring a typical Data Management or Data Analysis task (or a combination of both) they perform on a regular basis to the first session. During the course, this task may serve as an example case of automating procedures with Stata.","nie","nie",2.5]
["GE236","GESIS – Leibniz Institute for Social Sciences","Introduction to Network Analysis with R","Kolín, Nemecko",2,2,"2020-11-26","2020-11-27","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x41BB057F66FC445280AC43657A612AC3","This workshop provides an introduction into theoretical concepts as well as methods of data collection and analysis for social networks with R. The first day is dedicated to definitions and terminologies, influential models and their importance for the empirical collection of network data. We investigate several examples of research (data) and reflect on suitable research questions and requirements of research designs in the process of collecting data. Various approaches are discussed, along with the potential drawbacks and biases of the resulting measures. We also provide examples for network questions from traditional survey questionnaires. In addition, we will analyze social networks with the open-source software R. We start with introducing two of the most popular packages for SNA in R, “igraph” and “statnet”. After understanding relevant objects and packages' organization, we describe the intuition behind structural and positional network metrics, such as density, centrality, or modularity, and practice their calculation as well as their visualization.","Participants should possess a general affinity toward social science theory. Participants should also be open to acquainting themselves with quantitative methods. However, no advanced statistical knowledge is required.","nie","nie",2.5]
["GE237","GESIS – Leibniz Institute for Social Sciences","Digital Trace Data in Social Science","Mannheim, Nemecko",2,2,"2020-12-07","2020-12-08","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x259133F83FC34C5398C7C816C8B043AD","This workshop introduces Twitter API and provides multiple examples of collecting and analyzing Twitter data in R.\nThe course will start with general introduction of Twitter's API, available data and limitations. Subsequently, participants will learn how to collect diverse types of Twitter data (e.g., user timelines, tweets including certain keywords). To analyze collecting data, the course will discuss summary statistics of interested features, simple text analysis and network analysis (e.g. retweet network). Along with the data analysis, diverse possibilities for visualization will be demonstrated as well.\nDuring the course, the following R packages will be used: rtweet (to collect data), tidyverse (explore and visualise data), and igraph (analyze and visualize network).\nBefore the course begins, participants need to apply for a developer account, which you will need to access Twitter API. You can find detailed explanation of the process at Twitter developer webpage: https://developer.twitter.com/ (Note that you need to prepare a valid Twitter account beforehand).  The reviewing process usually take a couple of days, but it can take weeks. Even if you do not get approved before the workshop starts,\nI can give you a temporary access that is valid during the workshop period. You need to (1) prepare a valid Twitter account and (2) let me know your @user_name of your account via e-mail before the workshop starts. Note that email notification from Twitter must be activated!","Participants should have basic knowledge about how to use R. For example, it is expected that participants are able to install libraries, read and save csv format data, handle R's basic data types and structures (e.g., list, data frame), write simple iteration (e.g., for loop) and condition (e.g., if-else) statements. It is preferable if participants have some experiences in tidyverse related packages but not necessary.  ","nie","nie",2.5]
["GE238","GESIS – Leibniz Institute for Social Sciences","Introduction to Social Network Science with Python","Online",5,5,"2020-09-21","2020-09-25","960 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x387DA6358EF341928F67355388570B76&subID=0x067A7863DDE94D53BF4D97AB23230D60","In the wake of the digital revolution, masses of digital behavioral data are becoming available for social research. This data resembles transactions or events that typically consist of both social relations and their communicative content. As such, it can facilitate understanding not only how networks emerge from actions, but also how actors are formed by networks. In this course, we convey basic network analysis skills and how relational methods and coding in Python can be deployed in practical application scenarios. Following an introduction to relational data structures, the first day covers how to construct networks from data. The second day deals with network visualization and how to characterize the centrality of nodes in networks. The third day is dedicated to brokerage and closure, two main concepts to describe the positions of nodes in networks. The fourth day aims at identifying groups (community detection) and introduces a statistical procedure for relational hypothesis testing. The last day is reserved for individual or group projects. Throughout the course, NetworkX will be used as the Python package for network analysis because it provides a wide range of tools. Thematic blocks start with an introductory lecture in which network analytical tools and their social network theoretic contexts are presented. Then the instructors demonstrate how to apply them, using classic, bibliometric, and Twitter networks. Finally, in exercises, the participants apply acquired knowledge in their own code. Participants are encouraged to prepare their own network datasets and research questions to work on in the exercises and projects. The course is adapted to an online teaching environment, that means, instructors and participants will have time to individually exchange in breakout rooms.","Participants are required to have at least initial experience with coding in Python or another programming language (like R or Java). To ensure a common starting ground among all participants, they are expected to familiarize themselves with the basic concepts of Python via learning materials that will be provided beforehand. Options for additional preparations include taking the \"Introduction to the Python Data Science Stack\" (14. - 15.09.2020) or learning Python online via the Python Data Science Handbook (https://notebooks.gesis.org/binder/v2/gh/jakevdp/PythonDataScienceHandbook/master). Previous knowledge on network theory or analysis is helpful but not required. All utilized software is available without cost as open source under Windows, MacOS, and Linux systems. Detailed installation instructions for the suggested development environments will be provided before the start of the course.","nie","nie",2.5]
["GE239","GESIS – Leibniz Institute for Social Sciences","Text Mining with R","Online",5,5,"2020-09-28","2020-10-02","1200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x387DA6358EF341928F67355388570B76&subID=0xD8EBD7C33F814DF0BF582E1E7BDFB731","In the digital age, large collections of text are an increasingly attractive data source for analysis in the social sciences. Corpora from thousands up to several millions of retro-digitized or natively digital documents cannot be investigated with conventional, manual methods alone. Semi-automatic computational analysis algorithms, also known as text mining, provide interesting opportunities for social scientists to extend their toolbox.\n \nTo realize complex designs in empirical social research, scientists need basic knowledge of computational algorithms to be able to select those appropriate for their needs. Specific projects may further require certain adaptations to standard procedures, language resources or analysis workflows. Instead of relying on off-the-shelf analysis software, using script programming languages is a very powerful way to fulfill such requirements. The course teaches an overview of text mining in connection with data acquisition, preprocessing and methodological integration using the statistical programming language R.\n \nIn sessions alternating between lectures and tutorials, we teach theoretical and methodological foundations, introduce exemplary studies and get hands on programming to realize different analyses.\n","For participants without basic knowledge of R, we strongly recommend to learn at least a little in preparation of the course. For this, we provide links to material and online tutorials prior to the course through the Gesis e-learning platform.","nie","nie",2.5]
["HA110","Harvard ","Systematic Approaches to Policy Design","Online",null,null,"Self-paced","Self-paced","0 USD",null,"https://online-learning.harvard.edu/course/systematic-approaches-policy-design?delta=0","This course will help senior officials make greater use of data and evidence in their everyday decision-making. This unit presents a few over-arching frameworks that are helpful in appraoching complicated decisions. You will learn how to orgnaize your thinking, how to break a probelm down into parts, and how to figure out where evidence can be most useful in making a decision.",null,"nie","nie"]
["HA111","Harvard ","Data Science: R Basics","self-paced","8 týždňov","8 týždňov","2020-07-15","2021-01-15","49 USD",null,"https://online-learning.harvard.edu/course/data-science-r-basics?delta=1","The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.\n\nWe’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.\n\nRather than covering every R skill you might need, you’ll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.\n\nThe demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.\n","Audit for Free\nAdd a Verified Certificate for $49\nDuration: 8 weeks long\nTime commitment: 1-2 hours per week\nPace: Self-paced\n","nie","nie"]
["HA112","Harvard ","Data Science: Probability","Online","8 týždňov","8 týždňov","2020-07-15","2021-01-15","49 USD",null,"https://online-learning.harvard.edu/course/data-science-probability?delta=1","In this course, part of our Professional Certificate Program in Data Science, you will learn valuable concepts in probability theory. The motivation for this course is the circumstances surrounding the financial crisis of 2007–2008. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability. ","Audit for Free\nAdd a Verified Certificate for $49\nDuration: 8 weeks long\nTime commitment: 1-2 hours per week\nPace: Self-paced","nie","nie"]
["HA113","Harvard ","Data Science: Inference and Modeling","Online","8 týždňov","8 týždňov","2020-07-15","2021-01-15","49 USD",null,"https://online-learning.harvard.edu/course/data-science-inference-and-modeling?delta=1","Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting. \n\nThis course will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R. You will learn concepts necessary to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast. \n","Audit for Free\nAdd a Verified Certificate for $49\nDuration: 8 weeks long\nTime commitment: 1-2 hours per week\nPace: Self-paced","nie","nie"]
["HA114","Harvard ","Data Science: Linear Regression","Online","8 týždňov","8 týždňov","2020-07-15","2021-01-15","49 USD",null,"https://online-learning.harvard.edu/course/data-science-linear-regression?delta=1","Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part of our Professional Certificate Program in Data Science, covers how to implement linear regression and adjust for confounding in practice using R.\n\nIn data science applications, it is very common to be interested in the relationship between two or more variables. The motivating case study we examine in this course relates to the data-driven approach used to construct baseball teams described in Moneyball. We will try to determine which measured outcomes best predict baseball runs by using linear regression.\n","Audit for Free\nAdd a Verified Certificate for $49\nDuration: 8 weeks long\nTime commitment: 1-2 hours per week\nPace: Self-paced","nie","nie"]
["IP018","ictPRO","ZÁKLADY JAZYKA SQL V SQL SERVERU - MANIPULACE S DATY","Online/Praha, Česko",{"$f":"NETWORKDAYS(G815,H815,sviatky)","v":1},{"$f":"_xlfn.DAYS(H815,G815)+1","v":1},"2020-11-25","2020-11-25","4719 Kč",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-manipulace-s-daty-SQL1B.aspx","Kurz navazuje na základní 2denní školení dotazování dat a rozšiřuje znalosti z úvodního školení o zakládání, úpravu a mazání dat za pomocí příkazů SQL.\nNáplň kurzu:\nSkrýt detaily\nPříkaz CREATE, ALTER, DROP\nZákladní a rozšířené vytváření a úprava tabulek za pomocí SQL příkazu\nPáce s primárním a cizím klíčem\nPříkazy INSERT, UPDATE, DELETE a TRUNCATE\nZákladní a rozšířená syntaxe\nHromadné zpracování dat jedním dotazem",null,"nie","nie"]
["IP019","ictPRO","ZÁKLADY JAZYKA SQL V SQL SERVERU - MANIPULACE S DATY","Online/Praha, Česko",1,1,"2021-01-13","2021-01-13","4719 Kč",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-manipulace-s-daty-SQL1B.aspx","Kurz navazuje na základní 2denní školení dotazování dat a rozšiřuje znalosti z úvodního školení o zakládání, úpravu a mazání dat za pomocí příkazů SQL.\nNáplň kurzu:\nSkrýt detaily\nPříkaz CREATE, ALTER, DROP\nZákladní a rozšířené vytváření a úprava tabulek za pomocí SQL příkazu\nPáce s primárním a cizím klíčem\nPříkazy INSERT, UPDATE, DELETE a TRUNCATE\nZákladní a rozšířená syntaxe\nHromadné zpracování dat jedním dotazem",null,"nie","nie"]
["IP020","ictPRO","PYTHON - ZÁKLADY PROGRAMOVÁNÍ","Online/Praha, Česko",3,3,"2020-11-30","2020-12-02","13 189 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","V rámci školení se seznámíte s fungováním jazyka Python, podíváte se na složitější příkazy a možnostmi hledání a využití standardní knihovny. Součástí kurzu jsou samozřejmě také praktická cvičení, během nichž mimo jiné vyzkoušíte vytvoření automatizace dvou úkolů",null,"nie","len v prípade záujmu"]
["IP021","ictPRO","PYTHON - POKROČILÉ PROGRAMOVÁNÍ","Online/Praha, Česko",3,3,"2020-10-12","2020-10-14","15 609 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-pokrocile-programovani-PYTH2.aspx","Přihlaste se na praktický workshop, ve kterém si vyzkoušíte různorodé vlastnosti Pythonu a narazíte na mnohá překvapení. Ovládněte datový model Pythonu a naučte se vlastnosti tohoto jazyka a jeho knihoven využívat ve svůj prospěch.",null,"nie","len v prípade záujmu"]
["IP022","ictPRO","PYTHON - POKROČILÉ PROGRAMOVÁNÍ","Online/Brno, Česko",3,3,"2020-12-14","2020-12-16","15 609 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-pokrocile-programovani-PYTH2.aspx","Přihlaste se na praktický workshop, ve kterém si vyzkoušíte různorodé vlastnosti Pythonu a narazíte na mnohá překvapení. Ovládněte datový model Pythonu a naučte se vlastnosti tohoto jazyka a jeho knihoven využívat ve svůj prospěch.",null,"nie","len v prípade záujmu"]
["IC013","International Training Centre","E-LEARNING ON PUBLIC FINANCE FOR SOCIAL PROTECTION ANALYSTS","Online",34,47,"2020-10-05","2020-11-20","1485 EUR","2020-09-25","https://www.itcilo.org/courses/e-learning-public-finance-social-protection-analysts","This course will better equip participants to answer this question by bringing together two important strands in the question of social protection financing. The first strand engages participants in the analysis of the size of social protection expenditure, and the hypothetical and real world options to finance this expenditure. The second introduces participants to the Public Financial Management cycle, and provides hands-on experience of how this can be applied to social protection. In this sense, the course provides a bridge between the conceptual and practical elements of social protection financing.","Each participant completes preliminary and post-training assignments. The course consists of a number of online modules offered through the eCampus online platform to be completed over a period of six weeks for an estimated total of 60 learning hours.","nie","nie"]
["IC014","International Training Centre","E-learning course on Measuring and Analyzing Labour Migration ","Online",29,40,"2020-10-26","2020-12-04","960 EUR","2020-09-21","https://www.itcilo.org/courses/e-learning-course-measuring-and-analyzing-labour-migration","Using a step-by-step approach, the course aims to equip national and international stakeholders with the necessary capacities to better measure and analyse labour migration and produce timely, high-quality, updated migration statistics based on internationally agreed standards and guidelines for evidence-based policy-making."," The course consists of a number of online modules offered through the eCampus online platform to be completed over a period of six weeks for an estimated total of 60 learning hours.","nie","nie"]
["IC015","International Training Centre","E-LEARNING COURSE ON INSTITUTIONAL CAPACITY BUILDING FOR EFFECTIVE LABOUR MARKET INFORMATION SYSTEMS (LMIS)","Online",24,33,"2020-11-02","2020-12-04","0 EUR","2020-12-04","https://www.itcilo.org/courses/e-learning-course-institutional-capacity-building-effective-labour-market-information","This course aims to build institutional capacities to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.\n\nWho attends this course?",null,"nie","nie"]
["LO241","London School of Economics and Political Science (LSE)","Behavioural Economics and the Modern Economy","Online/Londýn, Veľká Británia",null,null,"TBC","TBC","6 295 GBP / 4 295 GBP",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/economics/behavioural-economics-and-the-modern-economy","Behavioural economics has revolutionised economics in the past thirty years by replacing the standard assumptions of perfect rationality and unbridled self-interest with more psychologically realistic alternatives. Behavioural economists believe that economists have traditionally acted as if humans are smarter and harsher than they actually are. More importantly, the departures from rationality and selfishness are systematic – the scientific goal of behavioural economics is to understand how people actually behave.  \n\nThe course will draw on psychological/experimental research as well as formal behavioural economic models.","Fees cover all LSE tuition and course materials. On campus fees also include daily lunches and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","áno"]
["LO242","London School of Economics and Political Science (LSE)","Climate Change: Economics and Governance","Londýn, Veľká Británia",5,5,"2022-06-13","2022-06-17","3 995 GBP / 3 500 GBP","2022-06-06","https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/global-public-policy/climate-change-economics-and-governance","The course begins with an intensive introduction to climate change as a scientific and particularly as a social scientific issue, intended to bring students up-to-speed with the key concepts. The scientific evidence on climate change will be outlined and well-known controversies will be covered. Then the key concepts of climate-change economics and governance will be introduced, such as market failure, pricing carbon, and the tragedy of the commons.","Fees cover all LSE tuition and course materials. On campus fees also include daily lunches and networking events. You will also be awarded an LSE certificate of completion at the end of the five days.","nie","áno"]
["LO243","London School of Economics and Political Science (LSE)","Data Science for Executives","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G825,H825,sviatky)","v":5},{"$f":"_xlfn.DAYS(H825,G825)+1","v":5},"2020-11-02","2020-11-06","6 295 GBP / 4 295 GBP",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/business-and-management/data-science-for-executives","The focus of this course is on examples of good and bad data science, with real-world applications from government, business, and law. By the end of the course, students will be familiar with the concepts of data science and will have learned how to evaluate quantitative evidence and how to design new studies using big data and data scientific tools.","Fees cover all LSE tuition and course materials. On campus fees also include daily lunches and networking events. You will also be awarded an LSE certificate of completion at the end of the five days. Minimum two years’ professional experience. Typically our participants have more than ten years’ work experience.","nie","áno"]
["MM001","Maastricht School of Management","e-Government","Maastricht, Holandsko",{"$f":"NETWORKDAYS(G826,H826,sviatky)","v":5},{"$f":"_xlfn.DAYS(H826,G826)+1","v":5},"2020-11-02","2020-11-06","2 799 EUR","2020-10-02","https://www.msm.nl/education-programs/executive-education/public-policy-administration/e-government/introduction","After finalizing this course, you:\nWill develop your understanding of the potential of e-Government, the policies, the required legal and institutional frameworks, and gain insights into an engaging e-Government involving different stakeholders\nWill improve your analytical skills on the managerial and organizational issues with e-Government initiatives\nWill be capable of formulating e-Government policies, particularly in a development context\nWill gain understanding on how to overcome implementation and transformation challenges with e-Government, in light of achieving a better, more sustainable government\nCourse topics\nA highlight of the topics covered: integration, interoperability, transparency and accountability. The topic of risk management with respect to the wider adoption of e-Government is also tackled, embracing security and privacy. Project management includes, among others, agile approaches and dealing with IT service providers. A particular topic is the involvement of citizens and businesses through the usage of social media and mobile computing.","Tuition fee includes all course materials, study materials, refreshments during classes and lunch every class day. Tuition fee does not include housing, other food and living expenses. Participants are required to arrange their own housing facilities. MSM can assist in finding hotel accommodation. Applicants should have the ability to function academically and professionally at Bachelor level. Because it is an interactive program, candidates should have an adequate level of spoken and written English to be able to follow the program and to actively participate. If it turns out that an applicant does not have the sufficient level of English, a certificate will not be awarded.\nCorporate Discount:\n15% for 2 participants coming from the same organization within 1 academic year\n25% for 3 participants coming from the same organization within 1 academic year\n40% for 4 - 6 participants coming from the same organization within 1 academic year\nFor > 6 participants we will offer a tailor made program\n\nEuropean Star Scholarship:\n50% for European citizens and long term residents. Submit a 2 - 3 page essay on the topic: \"What will be the positive change for my organization and me after participating in this course?\"","nie","nie"]
["MM002","Maastricht School of Management","Research Methods and Skills","Online","6 mesiacov","6 mesiacov","2020-09-01","2021-03-01","6 025 EUR","2020-08-19","https://www.msm.nl/education-programs/research-methods-and-skills/intro","The program is developed for those wishing to develop their research careers in a broad range of industries: the private sector, NGOs, international development organizations, public sector early career academics and doctoral candidates. In developing countries, this program can serve as capacity building for staff in universities, but also research units within businesses, NGOs, ministries and think tanks. In developed countries, this program fills the gap between master graduation, and the start of doctoral research. \n\nThe program comprises five modules, which will be offered in a distance learning approach including extensive and interactive online sessions, group actvities, discussions forums, indivdual sessions (where requited), and practical exercises in order to ensure a vivid learning experience.","Early Bird fee € 5,355\nApplication fee (non-refundable) € 75","nie","nie"]
["MA250","Massachusetts Institute of Technology (MIT)","Understanding and Predicting Technological Innovation: New Data and Theory","Cambridge, USA",{"$f":"NETWORKDAYS(G828,H828,sviatky)","v":3},{"$f":"_xlfn.DAYS(H828,G828)+1","v":3},"2021-06-14","2021-06-16","3 000 USD","2021-05-15","https://professional.mit.edu/course-catalog/understanding-and-predicting-technological-innovation-new-data-and-theory","This course on technological innovation will be organized around three modules on (1) Data, (2) Theory, and (3) Application. In the first module, we will analyze new, large data sets on technological improvement, many of which were collected by the instructor and are the most expansive of their kind. We will cover statistical analysis methods and decomposition models in order to extract useful insight on the determinants of technological innovation. Examples from energy conversion, transportation, chemicals, metals, information technology, and a range of other industries will be discussed.",null,"nie","nie"]
["NS005","NATO School","Intelligence Analyst Course - Critical Thinking and Structured Analysis (CT&SA)","Oberammergau, Nemecko",5,5,"2020-10-19","2020-10-23","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=4&TabId=155&language=en-US","IMPLEMENT CRITICAL THINKING SKILLS: Given references, the students will be able to implement critical thinking skills to analyse topic-associated data, information, and evidence, utilizing multiple analytical techniques IAW the DIA’s CT&SA participant handbook.\n\nAPPLY CRITICAL THINKING AND STRUCTURED ANALYTICAL TECHNIQUES: Given references, the students will be able to Identify and apply structured analytical techniques utilizing various methodologies IAW the DIA’s CT&SA participant handbook.\n\nASSESS INDIVIDUAL THINKING SKILLS BY MITIGATING BIASES: Given references, the students will be able to identify their personal biases and improve their thinking skills through implementation of bias mitigation strategies IAW the DIA’s CT&SA participant handbook.\n\nDEVELOP CONFIDENCE IN ANALYSIS AND CONCLUSIONS: Given references, the students will be able to increase confidence in their analysis and conclusions IAW the DIA’s CT&SA tradecraft.\n\nINTRODUCE INTELLIGENCE ANALYSIS IN NATO: Given references, the students will be able to explain the NATO doctrinal and organizational framework as well as current practise of intelligence analysis IAW NATO intelligence documents.","Applications through POC - strict selection criteria","nie","nie"]
["PT019","PTV Group","Introduction to macroscopic network modelling","Online",3,3,"2020-11-02","2020-11-04","1566 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","This course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract. The PTV Visum introductory course addresses to transport planners with academic professional knowledge in the fields of transport planning and engineering or with practical experience in traffic and transport expertises. To specialist engineers, this training course provides an introduction into the PTV Visum practice for efficient processing and evaluation of traffic studies by means of a standard software.","You are familiar with the standard Office software tools (MS-Excel, MS-Word, OpenOffice.org, LibreOffice) that run with the operating system MS-Windows. You are able to use a conventional text editor (Notepad, Editor, TextPad, Notepad ++, etc.) for data editing. According to your professional background or due to your practical experience you are well-grounded in the field of transport planning.","nie","nie"]
["SB002","Stern School of Business","Coding in R for Data","Online",23,32,"2020-09-08","2020-10-09","850 USD",null,"https://execed.stern.nyu.edu/products/coding-in-r-for-data","In this 4-week course, students will learn how to program in R for effective data manipulation and visualization. They will import, transform, and manipulate datasets for various analytical purposes. Program participation will also develop the ability to create control structures, such as loops and conditional statements to traverse, sort, merge, and evaluate data. This course is designed for those who have no experience in R or programming.","o pass this course, you will need a cumulative score of at least 55%. Upon successful completion of this course, participants will receive the NYU Stern Certificate in Coding in R for Data.","nie","nie"]
["SB003","Stern School of Business","Visualizing Data","Online",24,32,"2020-10-12","2020-11-12","850 USD",null,"https://execed.stern.nyu.edu/products/visualizing-data","In this four week course, students can progress at their own pace through the key steps of data visualization. The hands-on lessons will focus on techniques for data preparation — how to choose, create, and edit graphics, as well as best practices for presenting your visualizations.","To pass this course, you will need a cumulative score of at least 55%. Upon successful completion of this course, participants will receive the NYU Stern Certificate in Visualizing Data.","nie","nie"]
["TC009","Tayllorcox","Prince2 foundation","Online/Praha, Česko",4,4,"2020-08-17","2020-08-20","23 716 Kč",null,"https://www.tx.cz/prince2/prince2-foundation","Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory.",null,"nie","áno"]
["TC010","Tayllorcox","ITIL 4 Foundation","Online/Praha, Česko",1,3,"2020-09-04","2020-09-06","21 659 EUR",null,"https://www.tx.cz/itil/itil-4-foundation","TIL 4 Foundation kurz je určen všem IT manažerům, konzultantům a ostatním profesionálům, kteří si potřebují osvojit framework IT Service Managementu, nebo chtějí upgradovat své znalosti na nejnovější verzi ITIL.\nITIL 4 nemíří jen na IT Management a profesionální konzultanty. Základní kurz v úrovni ITIL 4 Foundation lze doporučit všem, kteří se věnují IT projektům, nebo digitální transformaci. Kurz je vhodný i jako bridge z ITIL v3. ",null,"nie","áno"]
["TB005","TBM Council","TBM Executive Foundation Course","Frankfurt nad Mohanom, Nemecko",2,2,"2020-09-21","2020-09-22","1890 EUR",null,"https://www.tbmconference.org/event/a525c3e5-2c2d-484a-badd-355197279cbb/summary","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.\n\nThe fundamentals of TBM, how it drives significant optimization and more effective management practices\nThe essential tools of TBM, including the framework, taxonomy, model, and metrics \nHow to build a TBM program in your organization, including essential roles, responsibilities and skillsets\nThe four value conversations of TBM and their associated management metrics\nHow to drive continuous improvement with TBM\nHow to apply the tools and disciplines of TBM beyond IT, into business value chains","Kurz v nemeckom jazyku\nRegistration Options:\nExecutive Foundation Course\nUS$1,495.00\nExecutive Foundation Course + Certification Exam\nUS$1,890.00","nie","áno"]
["TB006","TBM Council","Pan-European TBM Executive Foundation Live Online Training","Online",3,4,"2020-09-14","2020-09-17","1590 EUR",null,"https://web.cvent.com/event/91da454a-c30e-420d-857a-42eb0c212cdb/summary?environment=P2","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.\n\nThe fundamentals of TBM, how it drives significant optimization and more effective management practices\nThe essential tools of TBM, including the framework, taxonomy, model, and metrics \nHow to build a TBM program in your organization, including essential roles, responsibilities and skillsets\nThe four value conversations of TBM and their associated management metrics\nHow to drive continuous improvement with TBM\nHow to apply the tools and disciplines of TBM beyond IT, into business value chains","4 Hour Sessions Each Day Beginning\nNew York 8 AM / Paris 2 PM","nie","áno"]
["TB007","TBM Council","Pan-European TBM Executive Foundation Live Online Training","Online",4,4,"2020-10-12","2020-10-15","1590 EUR",null,"https://web.cvent.com/event/d63b1559-fa11-4a6f-be8a-9d494aab75d0?environment=P2","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.\n\nThe fundamentals of TBM, how it drives significant optimization and more effective management practices\nThe essential tools of TBM, including the framework, taxonomy, model, and metrics \nHow to build a TBM program in your organization, including essential roles, responsibilities and skillsets\nThe four value conversations of TBM and their associated management metrics\nHow to drive continuous improvement with TBM\nHow to apply the tools and disciplines of TBM beyond IT, into business value chains","4 Hour Sessions Each Day Beginning\nNew York 8 AM / Paris 2 PM","nie","áno"]
["TI302","Timberlake Consultants","An Introduction to Machine Learning using Stata, Co-Developed with Lancaster University","Online",2,2,"2020-10-26","2020-10-27","300 GBP",null,"https://www.timberlake.co.uk/courses/intro-to-machine-learning-stata-2020.html#overview","This course is a primer to machine learning techniques using Stata. Stata owns today various packages to perform machine learning which are however poorly known to many Stata users. This course fills this gap by making participants familiar with (and knowledgeable of) Stata potential to draw knowledge and value form row, large, and possibly noisy data. The teaching approach will be mainly based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions.",null,"nie","nie",2]
["TI303","Timberlake Consultants","Time series Analysis with Stata","Online",1,2,"2020-09-14","2020-09-15","300 GBP",null,"https://www.timberlake.co.uk/courses/time-series-analysis-with-stata.html#prices","This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.\n\nThe aim of this course is to provide participants with an in-depth understanding of the fundamental concepts of time series modelling and forecasting and with the practical skills to use STATA to model and forecast economic time series.\n\nModel and forecast from a univariate AR(FI)MA or multivariate VAR model. Model and forecast from a univariate GARCH (including EGARCH, TARCH, APARCH and GJR moels)or a multivariate GARCH model ( including the CCC,DCC, VEC models). Distinguish between stationary and nonstationary series and understand the implications of using nonstationary series; Build, estimate and forecast from univariate and multivariate time series models using Stata. Understand and critically evaluate recent research in time series",null,"nie","nie",2]
["TI304","Timberlake Consultants","Machine Learning with Eviews","Online",1,2,"2020-09-25","2020-09-26","360 GBP",null,"https://www.timberlake.co.uk/introduction-machine-learning-using-stata.html","Machine learning is a relatively new approach to data analytics, which places itself in the intersection between statistics, computer science, and artificial intelligence. Its primary objective is that of turning information into knowledge and value by “letting the data speak”. To this purpose, machine learning limits prior assumptions on data structure, and relies on a model-free philosophy supporting algorithm development, computational procedures and analytical solutions. Computationally, machine learning was unfeasible a few years ago, it is a product of the computerised era, of today's machines' computing power and ability to learn. It is also a product of hardware development and continuous software upgrading. This course is a primer to machine learning techniques in Eviews.\n\nThe latest edition of Eviews 11 offers various packages to perform machine learning. After the course, participants are expected to have an improved understanding of EViews' potential to perform some of the most used machine learning techniques, thus becoming able to master research tasks and specifically to master model selection techniques.",null,"nie","nie",2]
["TI305","Timberlake Consultants","Time Series and Forecasting Using EViews","Online",1,2,"2020-10-23","2020-10-24","360 GBP",null,"https://www.timberlake.co.uk/courses/time-series-forecasting-eviews.html","This online intensive course provides a comprehensive introduction to time series analysis and forecasting with EViews. The course offers a full overview on time series models and forecasting methods, covering a variety of different models including ARMA, ARDL, Regime Switching models, GARCH models and Midas time series regressions. Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.",null,"nie","nie",2]
["TS017","Tstat","TIME SERIES MODELLING AND FORECASTING USING STATA","Online",2,2,"2020-08-24","2020-08-25","824 EUR","2020-08-04","https://www.tstattraining.eu/training/time-series-modelling-and-forecasting-stata-ol/","The aim of this course is to show participants how to use Stata to perform analysis, modelling and forecasting of time series. The course provides an overview of methods for analysing, modelling and forecasting the dynamic behaviour of economic time series and offers several practical examples of empirical modelling using real-world data. The course does not require any previous knowledge of Stata, since Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series.\n\nIn common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises with Stata. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. At the end of the course, participants are expected to be able to autonomously implement the methods discussed in the course.","Course fees cover: course materials (handouts, Stata do files and datasets to be used during the course), a temporary licence of Stata valid for 30 days from the beginning of the course.\n\nIndividuals interested in attending the training course should contact TStat Training to ask for a registration form. The completed application should then be returned to TStat by 4th August 2020.","nie","nie"]
["AC258","ACREA CR","ANALÝZA DAT VE ZDRAVOTNICTVÍ","Praha, Česko",null,null,"TBD","TBD","540 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-dat-ve-zdravotnictvi/","Úvodní statistický kurz analýzy dat ve zdravotnictví je uspořádán tak, aby zahrnoval základní témata a nejčastěji užívané metody se zaměřením na oblast medicíny a zdravotnictví (popisná statistika, testy hypotéz, korelační a regresní analýza).\nPROGRAM KURZU\núvod do problematiky zdravotnické statistiky, seznámení se základními pojmy\nmatice dat, typy proměnných\nkategorizovaná data: tabulka četností, grafy četností (sloupcový a koláčový graf)\nčíselné proměnné: kvantily, boxplot, průměr, směrodatná odchylka, intervaly spolehlivosti\ntřídění druhého stupně\nprincip testování statistických hypotéz, síla testu a velikost výběru\nT-testy, ANOVA\nneparametrické testy\nkorelační analýza\nlineární regrese\n",null,null,null,1.9]
["AC259","ACREA CR","ANALÝZA DÉLKY ŽIVOTA","Praha, Česko",null,null,"TBD","TBD","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-delky-zivota/","Analýza délky trvání jevů (resp. doby do určité události) v souvislostech s různými vlivy umožňuje zkoumat záznamy z dlouhodobého sledování objektů (lidí, firem, výrobků apod.), u nichž někdy v průběhu času dochází ke sledované události (např. uzavření smlouvy, vznik pojistné události, odchod zákazníka ke konkurenci, porucha výrobku, výskyt nebo odeznění příznaků určitého onemocnění u pacienta). Předpokládá se, že v okamžiku vyhodnocení u některých objektů k události došlo, zatímco u jiných ne. Metody analýzy délky života umožňují nejen popsat situaci nebo odhadnout pravděpodobnost výskytu události v závislosti na čase, ale také posoudit vliv dalších faktorů či zavedení určitého opatření (změna léčby, nový marketingový přístup apod.).\nPROGRAM KURZU\nzákladní pojmy a předpoklady analýzy délky života\nfunkce přežití, hazard\ntabulky délky života\nKaplan – Meierovy modely\nCoxova regrese\nCoxova regrese s časově závislou kovariátou\n",null,null,null,1.9]
["AC260","ACREA CR","BAYESOVSKÉ STRUKTURNÍ MODELOVÁNÍ","Praha, Česko",null,null,"TBD","TBD","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/bayesovske-strukturni-modelovani/","Bayesovská statistika je dnes plnohodnotnou alternativou k běžně užívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Používá se pro různé základní postupy (analogie t-testů, analýzy rozptylu a regresní analýzy), o nichž se lze více dozvědět v kurzu Úvod do bayesovské analýzy dat.\n\nKromě toho proniká i do složitějších postupů jako je strukturní modelování. Základní představení strukturních modelů je obsahem kurzu Modelování statistických vztahů (IBM SPSS Amos). Software IBM SPSS Amos umožňuje kromě klasického (frekvenčního) výpočtu používat i bayesovské strukturní modely. Kurz představí jednak základní logiku bayesovské analýzy dat, jednak praktické aplikace v prostředí IBM SPSS Amos.\n\nObecně lze bayesovské strukturní modely využít zejména pro tyto účely:\nNáš datový soubor je poměrně malý, ale z předchozích studií již známe přibližné hodnoty některých parametrů. \nNámi používané proměnné nejsou spojité, mají kratší ordinální stupnice a tak klasická metoda maximální věrohodnosti není pro odhad parametrů vhodná.\nNáš model měření (konfirmační faktorová analýza) není zcela ideální, lze totiž předpokládat, že některé vazby napříč faktory nebudou zcela nulové.\nNěkteré složitější modely nelze odhadnout.\n\nV kurzu se prakticky poukáže na možnosti regresního modelu, modelu úsekové analýzy a konfirmační faktorové analýzy v IBM SPSS Amos. Důraz bude kladen na přípravu modelu, jeho výpočet a interpretaci. V závěru pak bude poukázáno na složitější postupy.\n",null,null,null,1.9]
["AC262","ACREA CR","HIERARCHICKÉ LINEÁRNÍ MODELOVÁNÍ","Praha, Česko",null,null,"TBD","TBD","245 EIR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/hierarchicke-linearni-modelovani/","Model hierarchického lineárního modelování (často uváděný pod zkratkou HLM) zachycuje situaci, kdy jsou výběrové jednotky organizovány v postupně podřazených skupinkách, v nichž jsou pozorování korelována, a kde je porušen předpoklad nezávislých pozorování. Takové situace vznikají jak v reálném uskupení hierarchie skupinek v populaci, tak v důsledku výběrových postupů. Modely zahrnují analýzu rozptylu, regresní analýzu a jejich kombinace a vedou na tzv. smíšený regresní model (mixed models).\nPROGRAM KURZU\nhierarchický model\nproblémy lineárního modelu v situaci skupinek\nteoretické důvody pro jeho použití\nstatistické důvody pro jeho použití\nANOVA a ANCOVA v HLM\nHLM a smíšené lineární modely\nlineární model s fixními předpoklady\nnáhodné koeficienty\npřechod hierarchického modelu na smíšený model\nmodely dvou stupňů\nANOVA a ANCOVA\nrůzné aplikace\nrůzná rozšíření\n",null,null,null,1.9]
["AC263","ACREA CR","IRT MODELY - TEORIE A APLIKACE","Online/Praha, Česko",1,1,"2022-06-13","2022-06-13","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/irt-modely/","IRT (item response theory, česky zpravidla teorie odpovědi na položku) se v posledních cca 20 letech stále častěji užívá v oborech jako psychologie či pedagogika místo klasické teorie testů (CTT). Na rozdíl od klasické teorie testů umožňují tyto modely zohlednit obtížnost, diskriminační schopnost a „uhádnutelnost“ jednotlivých testových položek a rovněž nabízejí jednodušší a věcně srozumitelnější interpretaci výsledků jednotlivých respondentů. IRT modely nacházejí uplatnění také v dalších oborech zejména společenských věd (sociologie, politologie apod.), kde se užívají k měření intenzity nejrůznějších postojů. Kromě základních úloh jako měření úrovně znalosti či postoje konkrétního respondenta v jednom časovém okamžiku, lze IRT modely snadno užít také k zajištění srovnatelnosti měření v opakovaných šetřeních (typicky panelových šetřeních na stejných respondentech) či k zajištění srovnatelnosti měření v různých populacích.\nPROGRAM KURZU\nCTT a IRT – rozdíly a podobnosti\nmatematická podstata IRT, parametry položek, jejich grafické zhodnocení a interpretace\n1-, 2- a 3-parametrický model, kritéria pro výběr modelu a jeho vyhodnocení\ndata vhodná pro IRT modelování a jejich příprava v IBM SPSS Statistics\nvýpočet 1-, 2- a 3-parametrického modelu, výběr „ideálního“ modelu a jeho vyhodnocení\ninterpretace parametrů položek, interpretace výsledků pro jednotlivce a práce s výsledky v dalších procedurách\npřehled dalších IRT modelů\nprocvičování\n",null,null,null,1.9]
["AC265","ACREA CR","PLÁNOVÁNÍ VÝZKUMU: REPREZENTATIVITA","Praha, Česko",null,null,"TBD","TBD","430 EUR + 21% DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/planovani-vyzkumu-reprezentativita/","Volba vhodné metody výběru, zajištění reprezentativnosti datového souboru a vyjádření přesnosti odhadů s ohledem na užitý design výběru jsou základními předpoklady pro úspěch celého výzkumu.\nPROGRAM KURZU\nplánování a příprava výzkumu, cíle výzkumu, přesnost výsledků versus finanční možnosti\nzákladní pojmy: populace a výběr, opora výběru, velikost výběru\nmetody výběru: typy výběru, strata, skupinky, vícestupňový výběr\npraktická cvičení v IBM SPSS Statistics: metody a realizace výběru, pravděpodobnost zahrnutí jednotky, designové váhy, odhad a vyjádření přesnosti odhadu, efekt designu\npřehled základních typů vah, zajištění reprezentativnosti výběru, konstrukce poststratifikačních vah\n",null,null,null,1.9]
["AC266","ACREA CR","REPORTOVÁNÍ A VIZUALIZACE STATISTICKÝCH DAT","Praha, Česko",null,null,"TBD","TBD","388 EUR + 21% DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/reportovani-a-vizualizace-statistickych-dat/","Statistické reportování patří mezi základní úkoly mnoha analytiků. Naučte se, jak správně vytvářet statistické tabulky, grafy a zprávy tak, aby byly přehledné a srozumitelným způsobem vyjadřovaly podstatnou informaci.\nPROGRAM KURZU\nseznámení se základními typy tabulek a grafů\ntabelace a grafy distribucí (četnosti, procenta, průměry, sloupcový, koláčový a Paretův graf, histogram)\nkomparační tabulky a grafy (srovnání skupin, podrobněji tříděné tabulky a grafy)\nspeciální typy grafů (bodový graf, graf časových řad)\nobecná pravidla pro tvorbu tabulek a grafů včetně příkladů a procvičování\npravidla pro psaní statistických zpráv\n",null,null,null,1.9]
["BB003","Booth School of Business, University of Chicago","The Executive Program for Prospective CFOs","Chicago Booth, USA",{"$f":"NETWORKDAYS(G850,H850,sviatky)","v":5},{"$f":"_xlfn.DAYS(H850,G850)+1","v":5},"2021-05-24","2021-05-28","11950 USD",null,"https://www.chicagobooth.edu/executiveeducation/programs/finance/the-executive-program-for-prospective-cfos","Sharpen analytical skills, effectively manage relationships with internal and external constituencies, and drive strategic direction to lead enterprise transformation and growth, while applying cutting-edge research to the most pressing problems facing finance executives today.\n\n",null,"nie","nie"]
["BB002","Booth School of Business, University of Chicago","Financial Analysis for Nonfinancial Managers ","Chicago Booth, USA",5,5,"2020-12-14","2020-12-18","10950 USD",null,"https://www.chicagobooth.edu/executiveeducation/programs/finance/financial-analysis-for-nonfinancial-managers","Gain a practical understanding of how to interpret and use internal and external financial reports to inform and influence the decision-making process. Once you know how to translate this financial information, you’ll be able to apply it to your business immediately.",null,"nie","nie"]
["BU150","Budapest School for Central Bank Studies ","New Techniques in Macroeconometrics with Applications to Policy and Forecasting","Budapešť, Maďarsko",5,5,"2021-08-02","2021-08-06","1400 EUR","2021-07-05","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","Topics covered\nBayesian Econometrics: model  selection,  BVARs,DSGE_BVARs, Large  Bvars.\nSimulation  methods: Metropolis-Hastings, Gibbs, Sequential Monte Carlo. Application to  online  estimation of  DSGEs\nLinear and  nonlinear  state  space  models: estimation and simulation smoothers. Applications to Global trends in  interest  rates, Hanks  models, forecasting and  historical decomposition  in  DSGE  models.\nCombining  models  for  forecasting  and  policy  analysis: optimal  pools  and  dynamics  pools.\n",null,"nie","nie"]
["CM007","Cemmap","Reproducible Econometrics Using R","Londýn, Veľká Británia",2,2,"2021-04-26","2021-04-27","540 GBP",null,"https://www.cemmap.ac.uk/event/id/1834","This course will proceed from a state of zero (assumed) prior knowledge of R (www.r-project.org) and the tools used to conduct modern (read reproducible) research to a state of (hopefully) being conversant in R and being able to conduct modern statistical/econometric research in a unified framework. We will begin with the basics of using R (e.g., “Why use R?”, “How do I read my Stata or Excel data into R?”) then progress to an overview of various statistical methods that form the backbone of modern applied research. We will then introduce tools for reproducible research (R Markdown & RStudio) and touch on using github for version control. Extensive examples will be covered and participants are expected to bring their own computer pre-loaded with all necessary software (i.e., R, RStudio, TeX, github, though those without a computer can use RStudio Cloud via a browser instead). A website will be made available to participants where they can access supplementary materials and various resources to help them quickly get up to speed with the material. Those already familiar with R are welcome and ought to benefit as much as those unfamiliar with R.",null,"nie","nie"]
["CE178","Center of Excellence in Finance","Macroeconomic Modeling for Open Economies 1","Online",20,29,"2020-11-11","2020-12-09","0 EUR","2020-10-28","https://www.cef-see.org/20-macroeconomic-modeling","This learning event is the first one in the sequence of two events under a single learning package Macroeconomic Modeling for Open Economies. They will be both delivered within a time-span of not more than half a year. Event in 2020 will be delivered as an online course.\n\nWhat will you learn \n\nDuring this course, you will (1) learn the technical skills required to develop and use simple DSGE models of your national economies, in order to estimate the impact of policy measures and changes ('shocks') in key macroeconomic variables; (2) have a chance to present your ongoing work and experience with DSGE modeling and receive feedback from instructors and (3) have a chance to learn from an example of DSGE model developed and used in practice at European Central Bank.\n",null,"nie","nie"]
["EM037","EcoMod Network","Advanced Course on DSGE and Behavioral Macroeconomic Modeling Using Matlab and Dynare","Praha, Česko",5,5,"2020-09-21","2020-09-25","3 767 USD",null,"https://ecomod.net/modeling-school/list-of-courses/advanced-course-on-dsge-and-behavioral-macroeconomic-modeling-using-","Complete Course information will be available soon. ",null,"nie","nie"]
["ED008","European Security and Defence College","Civilian Aspects of EU Crisis Management","Online",4,4,"2020-11-09","2020-11-12","0 EUR",null,"https://esdc.europa.eu/enlistapi/CASD%20INVITATION,%20TENTATIVE%20PROGRAM%20AND%20INFORMATION.pdf","The course consists in two compulsory parts: a preliminary e-learning part (four weeks from 12 October to 8 November), followed by a residential session (from 9 to 12 November) that, this year, will be replaced by a distance learning session, due to the pandemic limitations. Rhis course will enhance a common understanding on civilian aspects of EU crisis management among personnel of Member States, EU Institutions and relevant EU Agencies involved in EU crisis management, taking into account the comprehensive approach. Participant will have the opportunity to network, share views and perspectives with professionals in the field of CSDP. ",null,"nie","nie"]
["EB002","European Central Bank","ECB/CompNet Online Event\n Productivity, trade and financial flows in the face of a pandemic: a European perspective","Online",1,1,"2020-09-22","2020-09-22","0 EUR",null,"https://www.ecb.europa.eu/pub/conferences/html/20200922_ecb_compnet.en.html","The coronavirus (COVID-19) may have lasting effects on the global and the European economies. This online event features a keynote lecture on the environment in which European firms operate and how it may be affected by the pandemic. A high-level panel will also discuss how COVID-19 may be reshaping international trade and capital flows.","Participation is by invitation only.","nie","nie"]
["HA115","Harvard ","Data Science: Inference and Modeling","Online",null,null,"Self-paced","Self-paced","49 USD",null,"https://online-learning.harvard.edu/course/data-science-inference-and-modeling?delta=1","This course will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R. You will learn concepts necessary to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast. ","V cene certifikát","nie","nie"]
["HA116","Harvard ","Data Science: Linear Regression","Online",null,null,"Self-paced","Self-paced","49 USD",null,"https://online-learning.harvard.edu/course/data-science-linear-regression?delta=1","This course, part of our Professional Certificate Program in Data Science, covers how to implement linear regression and adjust for confounding in practice using R.\n\nIn data science applications, it is very common to be interested in the relationship between two or more variables. The motivating case study we examine in this course relates to the data-driven approach used to construct baseball teams described in Moneyball. We will try to determine which measured outcomes best predict baseball runs by using linear regression.\n","V cene certifikát","nie","nie"]
["HA117","Harvard ","Data Science: Visualization","Online",null,null,"Self-paced","Self-paced","49 USD",null,"https://online-learning.harvard.edu/course/data-science-visualization?delta=1","We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.","V cene certifikát","nie","nie"]
["MA260","Massachusetts Institute of Technology (MIT)","Bioprocess Data Analytics and Machine Learning ","Online",{"$f":"NETWORKDAYS(G861,H861,sviatky)","v":3},{"$f":"_xlfn.DAYS(H861,G861)+1","v":3},"2020-10-12","2020-10-14","3500 USD",null,"https://professional.mit.edu/course-catalog/bioprocess-data-analytics-and-machine-learning","In this intensive, three-day course, designed specifically for scientists and engineers in the biopharma industry, you’ll explore best practices for translating biopharmaceutical manufacturing data into reliable models and better decisions. Working with academic and industry experts, you’ll acquire strategies for improving manufacturing accuracy, enhancing regulatory efficiency, and refining bioprocess operations.",null,"nie","nie"]
["MA261","Massachusetts Institute of Technology (MIT)","People Analytics: Transforming Management with Behavioral Data ","Online",{"$f":"NETWORKDAYS(G862,H862,sviatky)","v":5},{"$f":"_xlfn.DAYS(H862,G862)+1","v":5},"2020-10-19","2020-10-23","3500 USD","2020-10-12","https://professional.mit.edu/course-catalog/people-analytics-transforming-management-behavioral-data","Improve workplace performance and achieve group objectives through people analytics—the process of using behavioral data to understand and manage organizations. Under the instruction of two of the field’s pioneering experts, you’ll learn how to use your company’s data to increase the speed and quality of your decision-making, identify organizational problems, analyze behavioral metrics, and enhance company outcomes.",null,"nie","nie"]
["MA262","Massachusetts Institute of Technology (MIT)","Design and Analysis of Experiments ","Cambridge, USA",{"$f":"NETWORKDAYS(G863,H863,sviatky)","v":5},{"$f":"_xlfn.DAYS(H863,G863)+1","v":5},"2021-07-19","2021-07-23","4300 USD","2021-07-01","https://professional.mit.edu/course-catalog/design-and-analysis-experiments","This program is planned for those interested in the design, conduct, and analysis of experiments in the physical, chemical, biological, medical, social, psychological, economic, engineering, or industrial sciences. The course will examine how to design experiments, carry them out, and analyze the data they yield. Various designs are discussed and their respective differences, advantages, and disadvantages are noted. In particular, factorial and fractional factorial designs are discussed in greater detail. These are designs in which two or more factors are varied simultaneously; the experimenter wishes to study not only the effect of each factor, but also how the effect of one factor changes as the levels of other factors change. The latter is generally referred to as an interaction effect among factors.",null,"nie","nie"]
["MA263","Massachusetts Institute of Technology (MIT)","Machine Learning for Healthcare ","Cambridge, USA",{"$f":"NETWORKDAYS(G864,H864,sviatky)","v":2},{"$f":"_xlfn.DAYS(H864,G864)+1","v":2},"2021-06-14","2021-06-15","2500 USD","2021-06-01","https://professional.mit.edu/course-catalog/machine-learning-healthcare","In this course, you'll gain practical knowledge that will enable you to overcome these hurdles and apply the latest advances in healthcare AI tools and techniques to: \n•Connect health data from disparate sources (e.g. EHRs, mobile, wearables)\n•Identify patterns and determine the most effective treatments\n•Predict and improve patient and financial outcomes\n•Model disease progression\n•Enable personalized care and precision medicine\n",null,"nie","nie"]
["SU003","Stanford University","Data Analysis with Python ","Online",{"$f":"NETWORKDAYS(G865,H865,sviatky)","v":35},{"$f":"_xlfn.DAYS(H865,G865)+1","v":50},"2020-10-12","2020-11-30","420 USD","2020-10-15","https://continuingstudies.stanford.edu/courses/professional-and-personal-development/data-analysis-with-python/20201_CS-65-W","This course will help students learn how to perform data analysis using Python. We will acquire data, examine it, clean it up, visualize it, and begin to infer conclusions from it. We will walk through the basics of data analysis using the Python toolchain. These popular tools are both open source and very popular among data scientists and analysts in both academia and industry. They include the Jupyter Notebook, Pandas, plotting with Matplotlib and Seaborn, and some basics of machine learning using Scikit-Learn. We will explore categorical data that provides labels such as the make of a car or the web browser of a visitor to a website. We will also discuss charts, tables, and correlations, and explore some color theory. Finally, we will dive into numerical data, including how to create, interpret, and plot data with multiple dimensions. Students will leave the course able to analyze a data set from start to finish, providing graphical and numerical summaries, correlations, and outliers.",null,"nie","nie"]
["WB005","World Bank","Climate Change and Health","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/climate-change-and-health","This course module introduces the theme of climate change and health. It explains how climate change impacts human health and describes mitigation and adaptation interventions in the health sector. Additionally, it provides guidance to task teams on the World Bank’s corporate climate commitments for the health sector as well as tools and support that task teams can draw on to enhance the climate resilience, adaptaion and mitigation aspects including through the climate co-benefits assessment process in their operations.",null,"nie","nie"]
["WB006","World Bank","Analyzing, Screening and Prioritizing Infrastructure Public-Private Partnerships","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/analyzing-screening-and-prioritizing-infrastructure-public-private-partnerships","This online learning course seeks to equip professionals, who work on PPPs, with essential skills in analysing, screening and prioritizing infrastructure PPPs using IPG’s PPP Project Screening and Analytics Tool (PSAT).",null,"nie","nie"]
["WB007","World Bank","Introduction to Disaster Risk Finance Analytics","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/introduction-disaster-risk-finance-analytics","Discover how to forecast the cost of future disasters and develop cost-effective disaster risk finance strategies. Through a series of examples and practical hands-on exercises you will explore the five-step disaster risk analytics workflow, discovering how to assess the fiscal impact of disasters and how DRF Analytics can support decision making and financial planning to reduce the financial impact of natural disasters. The course is designed to help you better understand risk information, challenge quantitative results, and evaluate options to make risk-informed decisions for financial and economic planning purposes.",null,"nie","nie"]
["WB008","World Bank","E-Course on Carbon Taxation","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/e-course-carbon-taxation-self-paced","Putting a tax on carbon emissions incentivizes companies and consumers to reduce their emissions, raises revenue for government and generates health and development co-benefits. But how do you design a carbon tax? What kind of sources of emissions should be taxed and at what rate? What should you do with the revenues? Enroll now for the Carbon Tax E-Course to answer these questions. The interactive online course takes you through the basic building blocks of how to design and run a carbon tax. The course is developed by the Partnership for Market Readiness (PMR), and in collaboration with Climate Focus, the O’Neil School of Public and Environmental Affairs (Indiana University) and Gnarly Tree Sustainability Institute. The Partnership for Market Readiness (PMR),is a forum for collective innovation and knowledge exchange, and a fund to support grant-based technical assistance and capacity building to scale up climate change mitigation through market-based approaches. The PMR generates and disseminates a substantial body of knowledge on various aspects of carbon pricing. Amongst others, the ‘Carbon Tax Guide: A Handbook for Policymakers’ and the ‘Emissions Trading in Practice: A Handbook on Design and Implementation’, both published by the PMR and partners, are the most downloaded industry go-to guidebooks.",null,"nie","nie"]
["WB009","World Bank","Public Finance Management Reform: Case Study Slovakia (Self-paced)","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/public-finance-management-reform-case-study-slovakia-self-paced","The e-course will complement existing on-the-ground initiatives by the Ministry of Finance of Slovakia as a donor, as well as e-content on PFM currently available via OLC. OLC currently has only limited resources when it comes to PFM topics, there is one course devoted to debt management, and one covering local public finance. Slovakian CEF is also providing PFM courses, but at the time they do not offer online learning and their courses are more general. The distinct feature of the proposed course is its practical character of a case study. The overall objective of the course is to present the complex nature of the PFM reform in a practical way. The knowledge embedded in the course can serve the participants as a basis for developing their own PFM reform programs, or simply learning from the experience of other countries as they debate/evaluate PFM in their own countries. ",null,"nie","nie"]
["WB010","World Bank","Advances in Financial Sector Analysis and Policy (Self-paced)","Online",null,null,"Self-paced","Self-paced","0 EUR",null,"https://olc.worldbank.org/content/advances-financial-sector-analysis-and-policy-self-paced","The recent financial crisis has prompted a profound rethinking of many topics in financial sector development and has been a catalyst for policy debates on the appropriate role of state in financial development. The world has also seen a renewed focus on the need to improve access to financial services to the poor and unbanked. Progress towards broad based financial inclusion can provide new opportunities to the estimated 2.5 billion unbanked people in the world.",null,"nie","nie"]
["IB003","Imperial College Business School","AI & Machine Learning in\nFinancial Services","Online",{"$f":"NETWORKDAYS(G872,H872,sviatky)","v":21},{"$f":"_xlfn.DAYS(H872,G872)+1","v":29},"2020-10-09","2020-11-06","2700 EUR",null,"https://execed.imperial.ac.uk/ai-and-machine-learning-in-financial-services/index.php?utm_source=ImperialWeb","Machine learning and artificial intelligence will radically change the decision-making processes in financial institutions, impacting investment signals in asset and wealth management, and influencing how people analyse concentration, scenario and operational risks. Our virtual programme builds a strong foundation in artificial intelligence - AI, big data and machine learning to allow you to make better decisions using these evolving techniques.\n\nThrough this immersive and interactive programme you will:\n\nGain a solid foundation in AI, ‘big data’ and machine learning\nMake better decisions using evolving techniques\nExplore what innovation will look like within financial services\nDevelop practical techniques that can be implemented today","DURATION\n4 weeks (excluding orientation)\n5-7 hours per week\n2 live virtual sessions per week","nie","nie"]
["BK001","University of California Berkeley","Financial Data Analysis for Leaders","Berkeley, USA",5,5,"2020-10-19","2020-10-23","7500 USD",null,"https://executive.berkeley.edu/programs/financial-analysis-leaders?utm_source=economist&utm_medium=referral","Understanding financial information is essential for assessing a company’s health and making strategic decisions that significantly impact performance.\n\nIt’s essential for senior business leaders to deepen their knowledge and expertise in financial analysis. With the ability to interpret and apply financial information to their decision-making process, executives will enhance their leadership capabilities and profile and their organization’s potential for success.",null,"nie","nie"]
["OU016","University of Oxford","Oxford Social Finance Programme","Oxford, Veľká Británia",5,7,"2021-02-08","2021-02-14","7500 GBP",null,"https://www.sbs.ox.ac.uk/programmes/oxford-social-finance-programme","Global, systemic challenges as outlined by the UN SDGs (sustainable development goals) demand innovation which traditional financing mechanisms fail to address. Social finance builds a blended capital approach to address issues on a national or international scale. \n\nSolving issues such as climate change, gender equality, and food security requires innovative capital and this is provided by social finance.\n\nYou will:\n\nDiscover how deliberate leadership and effective policy can tackle some of the world's most complex problems\nLearn how grants, donations and high-return investments blend together to create innovative fund structures and large scale impact\nGain insight of social finance tools including catalytic philanthropy, public private partnerships, social and development impact bonds\nCEO level guest speakers from major, international foundations and NGOs will share their experience on implementing large scale social programmes.","Programme fee includes all tuition, education materials, all daytime refreshments and evening meals including one at a college.\n\nAccommodation – this is a non-residential programme. We can book accommodation for you and bill it alongside your programme fee, please indicate requirements on your application form.\n\nRegistrations are confirmed on receipt of full payment of the programme fee, and places are allocated in order of receipt of payment.\n\nThere are ten 50% scholarship places available for people working for and funded by an aid or development agency non-profits, NGO, or other organisation in the not for profit sector. For more information on how to apply for a scholarship contact Annabelle Richards.","nie","nie"]
["UA001","University of Amsterdam","Big Data for Managers","Amsterdam, Holandsko",2,2,"2020-10-05","2020-10-06","1950 EUR + DPH",null,"https://abs.uva.nl/content/open-programmes-abs/big-data-for-managers/big-data-for-managers.html?origin=i/V%2BeuegSq6W7p8flnfldA&cb#Dates-and-fees","In 2 days, you learn everything you need to know to help your company or team become more data-driven. You will be able to develop ideas and implement the structure required to bring data science and data analytics to a higher level within your organisation. In addition to the theory and workshop sessions, the masterclass provides you with an opportunity to share your experiences with like-minded professionals who are also keen on expanding their analytics strategies.\n\nDuring this 2-day programme you will acquire:\n\nan in-depth understanding of big data terms and definitions.\na basic understanding of analytics methodologies, such as forecasting, machine learning and segmentation\nan overview of big data technology, including data storage, analytical engines and resource management.\nan understanding of how big data can strategically benefit your organisation.\nan understanding of analytics maturity and your organisation’s next steps.\ninsights into the implementation requirements of big data and analytics strategies.","V cene certifikát","nie","nie"]
["ER001","Erasmus University Rotterdam","Digital Analytics","Rotterdam, Holandsko",3,3,"2020-10-05","2020-10-07","3500 EUR + DPH",null,"https://www.rsm.nl/executive-education/open-programmes/programmes/digital-analytics/overview/","This three-day workshop provides you with the tools needed to manage the enormity of big data through analytics, and teaches you data management strategies to leverage value-adding opportunities, for example through online marketing. You will build a solid understanding of trends and developments, and learn methods to collect, analyse and manage data.\n\nOur data analytics expert will teach you how to embed big data management practices in your organisation, and to develop a data-driven strategy for your department or organisation that monetizes or optimises data assets for growth and innovation. This programme covers a range of topics based on a strategic view of data management. Armed with the language of data scientists and engineers, you will learn how to critically assess and evaluate business intelligence such as data collection methods, digital analytics, and modelling processes.",null,"nie","nie"]
["VE001","Vienna University of Economics and Business","Data Science","Viedeň, Rakúsko",85,123,"2020-10-14","2021-02-13","11400 EUR","2020-09-30","https://executiveacademy.at/en/programs/continuing-education/digitalization-technology/data-science#","This applied program takes your data skills to the next level, shows you how to build big data pipelines as well as analytics processes and how to apply what you have learned in the context of real projects. At the end of the program, you will be able to apply all the methods dealt with and will have gathered an overview about the opportunities that open up as a data scientist. “Data Science” will guide you and your company to the future and provide you with the knowledge and skills necessary to be your organization’s data scientist. Help your company to get on the fast lane – master the big data challenge!","Schedule\nModule 1: What is Data Science? Concepts & Application Domains (4 days)\nOctober 14-17, 2020\nModule 2: From Data Science to Big Data (4 days)\nNovember 18-21, 2020\nModule 3: Data Science in Practice and in the Future (4 days)\nFebruary 10-13, 2021","nie","nie"]
["IB004","Imperial College Business School","Fintech Programme","Londýn, Veľká Británia",2,2,"2020-11-09","2020-11-10","2950 GBP (3400 EUR)","do 1 mesiaca od obdržania faktúry","https://www.imperial.ac.uk/business-school/executive-education/short-courses/fintech-programme/","Fintech course overview\nThis immersive two-day Imperial Fintech course develops a hands-on understanding of the different elements of fintech and how they are disrupting financial and banking sectors. The programme introduces participants to the origins of banking and explores how digital transformation has remodelled the sector, creating alternative finance models and a new wave of digital banks.\n\nFintech Banking Programme\nParticipants will gain insights into the different elements of fintech such as APIs, blockchain and machine learning, and how they can be applied to various financial and banking scenarios. Imperial College Business School finance faculty and fintech industry leaders will blend academic thinking with technological discovery to give a holistic understanding of how the fintech ecosystem operate",null,"nie","nie"]
["IB005","Imperial College Business School","Fintech Programme","Online",26,36,"2020-11-13","2020-12-18","1800 GBP (2075 EUR)",null,"https://www.imperial.ac.uk/business-school/executive-education/short-courses/fintech-programme/#orientation-week","Fintech course overview\nThis immersive two-day Imperial Fintech course develops a hands-on understanding of the different elements of fintech and how they are disrupting financial and banking sectors. The programme introduces participants to the origins of banking and explores how digital transformation has remodelled the sector, creating alternative finance models and a new wave of digital banks.\n\nFintech Banking Programme\nParticipants will gain insights into the different elements of fintech such as APIs, blockchain and machine learning, and how they can be applied to various financial and banking scenarios. Imperial College Business School finance faculty and fintech industry leaders will blend academic thinking with technological discovery to give a holistic understanding of how the fintech ecosystem operate",null,"nie","nie"]
["IN001","INSEAD Business School","Advanced International Corporate Finance","Fontainebleau, Francúzsko",5,5,"2020-11-02","2020-11-06","9500 EUR","poplatok musí byť inštitúciou obdržaný pred začiatkom kurzu","https://www.insead.edu/executive-education/finance/advanced-international-corporate-finance-apply","Financial decisions such as Investments, Mergers and Acquisitions, Financing, Risk Management, Valuation and Payout Policy all have international dimensions. But in today’s constantly shifting global economy and turbulent business environment, such decisions are rendered more complex and challenging than ever before. In particular, global differences in regulation, taxation, exchange risk, political risk and governance quality all have an impact on the way financial decisions should be made. To succeed, and take their knowledge of corporate finance to the next level, finance professionals need a solid understanding of these international complexities.\n\nThe INSEAD Advanced International Corporate Finance programme will help you develop a strategic understanding of key financial decisions faced by organisations today by putting them into an international context. The programme will challenge existing frameworks and techniques and will help you to think beyond your national or regional context by studying advanced international case studies developed and written by INSEAD faculty.\n\nINSEAD’s finance professors, who are responsible for designing and delivering the programme, are among the most highly ranked in the world for their research. And your peers in the INSEAD classroom will come from leading international companies. Together, they will challenge your preconceptions, broaden your global outlook and help take your performance to new levels.",null,"nie","nie"]
["LO250","London School of Economics and Political Science (LSE)","Fixed Income: Markets, Securities and Institutions","Londýn, Veľká Británia",5,{"$f":"_xlfn.DAYS(H881,G881)+1","v":5},"2020-11-02","2020-11-06","7295 GBP",null,"https://www.lse.ac.uk/study-at-lse/executive-education/short-courses/courses/secure/finance/fixed-income-markets-securities-and-institutions","The Fixed Income: Markets, Securities and Institutions course has been designed to equip professionals working in financial services with a deeper understanding of the key concepts and institutional knowledge that underpins the world’s largest and most complex market.\n\nTaught by Professor Martin Oehmke, a leading faculty member of the number one Finance department in Europe, this unique course attracts interest from a wide range of senior professionals from across the world. Small classes of carefully selected participants help ensure an engaging and highly effective learning experience that includes interactive lectures, hands-on exercises and lively classroom discussions with faculty and peers.",null,"nie","nie"]
["LB001","London Business School","Valuation","Londýn, Veľká Británia",5,5,"2020-11-02","2020-11-06","7700 GBP",null,"https://www.london.edu/executive-education/finance/valuation","Do you really know a company's worth? The more quantitative the model, the better the valuation. Take your corporate finance knowledge and insight to the next level.\n\nGood for you\n\nEquip yourself with rigorous valuation tools, and learn how to value real investment projects, stocks and bonds, and cross-border investments.\nDeepen your knowledge of assets and liabilities, make better financial decisions and discover how to value alternative assets.\nBenefit from hands-on technical know-how to calculate the cost of capital, value real assets and think about investment decisions.\nDevelop an in-depth understanding of capital market behaviour, risk and net present value.\nEquip yourself with rigorous valuation tools and learn to make sound judgement calls about the value of your business.\nDevelop the confidence to lead on restructuring, mergers and acquisitions, financing challenges and opportunities facing your organisation.\nGood for your organisation\n\nDrive the right investment decisions. Gain an in-depth understanding of both your company and your numbers.\nMaximise your company’s potential, increasing portfolio returns, identifying the best projects and optimising funding choices.","includes lunch and dinner","nie","nie"]
["FF001","Frankfurt School of Finance & Management","Use Cases and Projects in Finance, Banking and Insurance","Frankfurt nad Mohanom, Nemecko",1,1,"2020-11-25","2020-11-25","must be inquired",null,"https://frankfurt-school-pdf.data-room.de/downloads/pdfs/seminars_d5e879f5.pdf","Participants learn about the application of blockchain technology in business. To this end, use cases from finance, banking and insurance will be presented and explained. The technology stack used for these examples will be explained in detail.\n\nWho should",null,"nie","nie"]
["LB002","London Business School","Project and Infrastructure Finance","Londýn, Veľká Británia",5,5,"2020-12-07","2020-12-11","7700 GBP",null,"https://www.london.edu/executive-education/finance/project-and-infrastructure-finance","Master the technical dynamics of investment in large-scale projects and connect with other global professionals in this unique growth industry.\n\nGood for you\n\nGain the confidence to successfully navigate the entire project finance process - from initial agreement to completion.\nExplore successful – and unsuccessful – examples of project and infrastructure finance.\nUnderstand what lenders are looking for and how to align their needs with yours.\nRestructure projects in distress for optimal results, sharing insights with a global and highly talented cohort.\nExplore project finance through real-world case studies, examining the latest industry techniques with world-leading faculty.","includes lunch and dinner","nie","nie"]
["LB003","London Business School","Financial Strategies for Value Creation","Londýn, Veľká Británia",5,5,"2020-12-07","2020-12-11","7700 GBP",null,"https://www.london.edu/executive-education/finance/financial-strategies-for-value-creation","Discover the financial strategies behind some of the world’s most successful companies. Sharpen your thinking and increase your impact.\n\nGood for you\n\nLearn to make the right strategic decisions at the right time.\nGain practical tools to create value based on your debt/equity mix.\nBroaden your knowledge and develop confidence with an in-depth understanding of different restructuring and funding options.\nMake smarter financial decisions through a better understanding of the practical application of risk management.\nUndertake long-term financial planning. Explore research evidence and find out how - and when - stock prices respond.\nGood for your organisation\n\nGain a holistic view and develop the skills to design your company’s capital structure and risk management strategy.\nApply real-life lessons from public companies to create value for unlisted ones.\nDiscover how the world’s top value creators perform, and how you could do better.\nGain the critical capability to assess the merits and pitfalls of restructuring.\nLearn psychological tactics to help your company gain competitive advantage and create substantial value.","includes lunch and dinner","nie","nie"]
["ER002","Erasmus University Rotterdam","Sustainable Finance","Rotterdam, Holandsko",3,3,"2020-12-09","2020-12-11","3075 EUR + 21% VAT",null,"https://www.rsm.nl/executive-education/open-programmes/programmes/sustainable-finance/overview/","Sustainable Finance\nHow can the financial sector contribute, or even speed up, businesses’ transition to long-term value creation within a sustainable economy? If it means combining financial, social and environmental values, what pathways and challenges are there for sustainable investing and lending?\n\nLong-term value creation\n\nThe key challenge is to plan for a long term integration of the financial, social and environmental dimensions. The why, what and how of integrated and sustainable finance are addressed in this three-day RSM Executive Education programme. During workshop sessions you will learn practical tools for implementing sustainable investing and lending, and explore the change management issues that put it in motion.\n\nRSM’s world-class academics and leading experts in asset management and banking will show you how social and environmental dimensions can be integrated without sacrificing returns. After the course you will be able to contribute to a financial sector which fulfils its role in society by allocating funds towards sustainable companies and projects.\n\nThe Sustainable Finance programme will show you the newest skills and methods for sustainable investing and lending, which you can adopt in your own business.","includes packaged lunch and dinner","nie","nie"]
["WH002","World Health Organisation","Occupational health and safety for health workers in the context of COVID-19","self-paced",null,null,"self-paced","self-paced","0 EUR",null,"https://openwho.org/courses/COVID-19-occupational-health-and-safety","Overview: In the context of the COVID-19 pandemic, working conditions for health workers may deteriorate. In addition to the risks of infection with COVID-19, health workers continue to experience other occupational health and safety risks of biological, physical or psychosocial nature. Therefore, for the protection of physical and mental health, safety and well-being of health workers, WHO recommends a combination of measures for infection prevention and control, occupational health and safety and psychosocial support.\n\nHealth workers participating in pandemic response are exposed to many different occupational risks to health and safety. These include: COVID-19 infection, illness, and transmission to others; fatigue from working longer hours and heavy workload, insufficient sleep or rest, dehydration, and inadequate nutrition; musculoskeletal injury from handling of patients and heavy objects, prolonged work while using personal protective equipment which can cause heat stress, skin and mucosal damage; workplace violence and stigma, and a variety of mental health problems, emotional distress and occupational burn-out.\n\nThe target audience for this course is health workers, incident managers, supervisors and administrators who make policies and protocols for their health facilities.\n\nLearning objectives: By the end of this course, you should be able to:\n\ndescribe the most common occupational risks to health and safety to which health workers are exposed while responding to the COVID-19 pandemic;\ndescribe the rights of health workers to decent working conditions;\ndescribe how to apply measures for protecting their health and safety and actively propose improvements; and\naccess and use supportive services for protection of health and safety of health workers.\nCourse duration: Approximately 1 hour.\n\nCertificates: A Record of Achievement certificate will be available to participants who score at least 80% of the total points available across all of the quizzes.\n\nCourse contents\nIntroduction:\nThis introductory module gives an overview of occupational health and safety in the context of COVID-19.\nModule 1: Infectious risks to health and safety:\nBy the end of this module, you should be able to: explain how health workers can be exposed to infectious hazards; describe how respiratory infections and bloodborne pathogens are transmitted to health workers; and describe the steps that health workers can take to protect themselves from respiratory infections: standard precautions and control measures to prevent different infections.\nModule 2: Physical risks to health and safety:\nBy the end of this module, you should be able to: list the major risk factors for musculoskeletal disorders in the health sector; describe high risk activities when handling patients; and describe the major types of occupational hazards that health workers face and how to prevent them.\nModule 3: Psychosocial risks to health and safety:\nBy the end of this module, you should be able to: list the major sources of psychosocial risks for health workers; describe the signs of fatigue and how to prevent it; describe the risk factors, signs and preventive actions for workplace violence; and describe how health workers and managers can protect and support mental health.\nModule 4: Basic occupational health and safety in health services:\nBy the end of this module, you should be able to: describe the responsibilities of employers and managers in occupational health safety and describe actions that can be taken by health workers to promote occupational health and safety.","certificate possible - Gain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments.","nie","áno"]
["WH003","World Health Organisation","Migration and Health: Enhancing Intercultural Competence and Diversity Sensitivity","self-paced",null,null,"self-paced","self-paced","0 EUR",null,"https://openwho.org/courses/intercultural-competence-in-migration","Course information\nOverview: The course is aimed at health authorities at national, subnational and local levels, as well as health care practitioners, researchers, patients and caregivers. It provides:\n\nan accessible introduction to the key concepts underpinning intercultural competence and diversity sensitivity;\nan overview of the types of action that can be taken to improve health care at organizational, systemic, professional and individual health care provider levels;\nseveral case studies to examine methods and techniques that can be used to promote migrant participation at different stages of policy and practice; and\nan overview of factors to be considered in any initiative developed to promote intercultural competence and diversity sensitivity in health care.\nLearning objectives: By the end of this course, participants should be able to:\n\nexplain the need for interculturally competent and diversity-sensitive health care;\n\nexplain the importance of education and training in intercultural competence;\n\nrecognize the importance of trained interpreters and intercultural mediators in health care; and\n\nidentify the practical and ethical issues affecting the migrant patients through community participation.\n\nCourse duration: Approximately 2 hours 20 minutes.\n\nCertificates: Participants can gain a Record of Achievement by earning at least 80% on the final assessment.\n\nCourse contents\nModule 1 - Introduction:\nBy the end of this module, participants should be able to: discuss the challenges faced by health services due to migration of culturally diverse populations; explain the need for interculturally competent and diversity-sensitive health care; and define the key terms relating to heterogeneous groups mentioned in the toolkit.\nModule 2 - Intercultural Competence and Diversity Sensitivity:\nBy the end of this module, participants should be able to: define the key concepts related to cultural competence; explain why interculturally competent and diversity-sensitive health care is necessary; and describe the four-dimensional model for increasing intercultural competence and diversity sensitivity in the health sector.\nModule 3 - Health Sector Responses:\nBy the end of this module, participants should be able to: explain the importance of education and training in intercultural competence; recognize the importance of trained interpreters in health care; and identify the role of intercultural mediators.\nModule 4: Community Participation:\nBy the end of this module, participants should be able to: explain the importance of participatory approaches in health care; identify the practical and ethical issues affecting migrant patients through community participation; and identify and explain the tools used in different stages of health care.\nModule 5 - Key Questions for Policy-makers and Practitioners:\nBy the end of this module, participants should be able to: identify the key questions that need to be asked at different domains to work towards intercultural competence and diversity sensitivity.\nFinal Assessment","certificate possible - Gain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments.","nie","áno"]
["WH004","World Health Organisation","WHO COVID-19 Mass Gatherings Risk Assessment Training","self-paced",null,null,"self-paced","self-paced","0 EUR",null,"https://openwho.org/courses/WHO-COVID-19-mass-gatherings-risk-assessment-training","Course information\nOverview: The training describes the risk assessment exercise that WHO has developed to aid health authorities and event organizers in their planning for upcoming mass gatherings amid the current COVID-19 pandemic. WHO has developed a set of COVID-19 risk assessments tools dedicated to generic mass gatherings as well as to sports specific and religious specific mass gatherings. It should be noted, however, that general considerations and advice applicable to the organization of mass gatherings, and addressing risks of any origin, should also be taken into account when planning an event. These risk assessments provide a user-friendly way for health authorities and organizers to understand the level of risk an upcoming mass gathering may hold in further spreading COVID-19, both within a country and globally. All of the tools mentioned can be found on the WHO website. The course has been developed in collaboration with the Johns Hopkins Center for Health Security, WHO Collaborating Centre on Global Health Security.\n\nLearning Objectives: By the end of this course, learners should be able to:\n\ndefine mass gathering and the risk posed by it;\nexplain how a risk assessment can help with public health planning;\nlist the steps involved in:\nconducting a generic risk assessment for mass gatherings,\nconducting a risk assessment for religious mass gatherings,\nconducting a generic risk assessment for sporting mass gatherings; and\nscore risk associated with an upcoming mass gathering and identify ways to increase the safety of participants.\nCourse duration: Approximately 1 hour.\n\nCertificates: A Confirmation of Participation will be available to participants who complete 100% of the course material.\n\nPlease note: The materials used in this course are currently being revised to reflect updates to the technical content. All course participants will be notified once these updates have been made.\n\nCourse contents\nModule 1: Introduction to Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: explain what a mass gathering is and describe the role of risk assessments and their role in public health planning.\nModule 2: Generic Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: list the steps involved in a generic mass gathering risk assessment; and determine an overall risk score using the WHO risk assessment tool and taking into account modification and mitigation measures.\nModule 3: Sporting Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: list the steps involved in a sporting mass gathering risk assessment; and determine an overall risk score using the WHO risk assessment tool and taking into account modification and mitigation measures.\nModule 4: Religious Mass Gathering Risk Assessment:\nBy the end of this module, you will be able to: list the steps involved in a religious mass gathering risk assessment; and determine an overall risk score using the WHO risk assessment tool and taking into account modification and mitigation measures.\nEnroll me for this course\nThe course is free. Just register for an account on OpenWHO and take the course!\nLearners enrolled:30048\nCertificate Requirements\nGain a confirmation of participation by completing at least 100% of the course material.\nMore information","Gain a confirmation of participation by completing at least 100% of the course material.","nie","nie"]
["WH005","World Health Organisation","Emerging respiratory viruses, including COVID-19: methods for detection, prevention, response and control","self-paced",null,null,"self-paced","self-paced","0 EUR",null,"https://openwho.org/courses/introduction-to-ncov","Overview: This course provides a general introduction to emerging respiratory viruses, including novel coronaviruses. By the end of this course, you should be able to describe:\n\nThe nature of emerging respiratory viruses, how to detect and assess an outbreak, strategies for preventing and controlling outbreaks due to novel respiratory viruses;\nWhat strategies should be used to communicate risk and engage communities to detect, prevent and respond to the emergence of a novel respiratory virus.\nThere are resources attached to each module to help you dive further into this topic.\n\nLearning objective: Describe the fundamental principles of emerging respiratory viruses and how to effectively respond to an outbreak.\n\nCourse duration: Approximately 3 hours.\n\nCertificates: A Record of Achievement certificate will be available to participants who score at least 80% of the total points available across all of the quizzes.\n\nAs the official disease name was established after material creation, any mention of nCoV refers to COVID-19, the infectious disease caused by the most recently discovered coronavirus.\n\nCourse contents\nEmerging respiratory viruses, including COVID-19: Introduction:\nThis brief introduction provides an overview of emerging respiratory viruses, including COVID-19.\nModule A: Introduction to Emerging respiratory viruses, including COVID-19:\nOverall learning objective: To be able to explain why a emerging respiratory viruses, including COVID-19, are a global threat to human health\nModule B: Detecting Emerging respiratory viruses, including COVID-19: Surveillance and Laboratory investigation:\nOverall learning objective: To describe how to detect and assess an emerging respiratory virus outbreak\nModule C: Risk Communication and Community Engagement:\nOverall learning objective: To describe what strategies should be used to communicate risk and engage communities to detect, prevent and respond to COVID-19\nModule D: Preventing and Responding to an emerging respiratory virus, including COVID-19:\nOverall learning objective: To describe strategies for preventing and controlling emerging respiratory pathogens, including coronavirus outbreaks.\nEnroll me for this course\nThe course is free. Just register for an account on OpenWHO and take the course!\nLearners enrolled:401594\nCertificate Requirements\nGain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments.\nMore information","Gain a record of achievement by earning at least 80% of the maximum number of points from all graded assignments.","nie","áno"]
["UC002","UNESCO","GPE/IIEP Training on the Fundamentals of Independent Appraisal of Education Sector Plans","Online",1,1,"2020-12-12","2020-12-12","0 EUR",null,"http://www.iiep.unesco.org/en/gpeiiep-training-fundamentals-independent-appraisal-education-sector-plans-13281","The primary purpose of the training is to allow interested individuals to gain fundamental knowledge of the various issues to be considered when undertaking the appraisal of an education plan. The training is expected to lead to greater consistency and quality in the appraisals of education plans, both ESPs and TEPs.\n\nThe training provides an overview of plan preparation and will introduce the major steps in an appraisal process and to the appraisal guidelines, but it will not address the advanced competencies needed to appraise plans in depth, nor cover in detail the skills required to manage the complex relationships present in appraisal contexts. \n\nThe training is also meant to be a  “global good” that will help to deepen understanding about education plans and their independent appraisal, among  other  stakeholders involved.","You will receive a certificate of successful course completion, jointly awarded by GPE and IIEP, if you make a good attempt at all of the self-assessment exercises, and if you complete and obtain a minimum average grade of 14/20 (70%) on three course quizzes.\n\n \n\nSuccessful completion of the course does not mean that one is immediately qualified to conduct education plan appraisals. The decision to choose an independent appraiser will depend on a person’s background, years of experience and a selection process by development partners at country level.  For independent experts selected to conduct an appraisal, the successful completion of the training is required prior to undertaking the independent appraisal. This does not apply for independent experts who have already participated in a past GPE-IIEP independent appraisal training.","nie","áno"]
["UC003","UNESCO","Strengthening Alternative and Non-Formal Education for Youth and Adults in Education Sector Plans","Online",51,73,"2020-11-13","2021-02-12","550 USD","2020-09-30","http://www.iiep.unesco.org/en/strengthening-alternative-and-non-formal-education-youth-and-adults-education-sector-plans-13480","The objective of the course is to equip participants with the technical knowledge and skills to ensure that marginalized youth and adult learning issues are better reflected in national plans and become an integral component of sector-wide education plans within a lifelong learning perspective. In the long term, a stronger focus on ANFE in sector plans will guide the development of holistic lifelong learning systems, ensuring that all young people and adults can learn and continue learning in a changing world.\n\nUpon completion of this course, participants should be able to:\n\nDiscuss key concepts and categories applied in ANFE, including social and private benefits and service provision challenges;\nDescribe the main steps of the ESP preparation process;\nAnalyse the current state of ANFE in the education sector to identify gaps in service provision, demand, and opportunities for development;\nDevelop ANFE strategies based on an education sector analysis;\nDesign implementation programmes with costed activities to promote and improve the ANFE; and Develop an ANFE M&E plan for the ESP.","To validate participation, participants must attend at least 75 per cent of the group meetings\nand contribute actively to group work. Group coordinators will record attendance. In addition, participants will be\nrequired to participate in online discussions and complete individual quizzes.\nParticipants who meet the above-mentioned requirements will receive a UNESCO certificate of participation from IIEP\nand UIL","nie","nie"]
["TS018","Tstat","FORECASTING ENERGY PRICES AND VOLATILITY WITH EVIEWS","Online",4,4,"2020-11-07","2020-11-08","675 EUR + VAT","2020-10-12","https://www.tstattraining.eu/training/forecasting-energy-prices-volatility-eviews-ol/","The modelling and forecasting of energy prices and volatility has become of utmost importance in the current turbulent times. The statistical features of energy data, which tends to follow periodic patterns and exhibit spikes, non-constant means and non-constant variances, renders the task of forecasting energy prices somewhat challenging.\n\nThe objective of TStat’s “Forecasting Energy Prices and Volatility with EViews” course is to provide participants with the specific analytical tools to undertake a rigorous and in- depth analysis of prices in international energy markets. The programme covers a wide range of econometric methods currently available to researchers and practitioners, such as: i) univariate and multivariate time series models to estimate and forecast prices and ii) univariate and multivariate GARCH models for the estimation and forecast of price volatility.\n\nIn common with TStat’s training philosophy, throughout the course the theoretical sessions are reinforced by case study examples, in which the course tutor discusses current research issues, highlighting potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, course leaders are able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed in the course.\n","Plus 22% VAT","nie","nie"]
["TS019","Tstat","STATA IN JUST ONE DAY!","Online",2,2,"2020-10-26","2020-10-27","587 EUR + VAT","2020-10-15","https://www.tstattraining.eu/training/stata-just-one-day-ol/","“Stata in just one day” is a reduced version of our “Up and Running in Stata” course. The course covers everything from the very basics, in order to get one up and running in Stata, through to an overview of the Stata commands available for preliminary data analysis, data management, importing and exporting data formats and the creation of graphs in Stata.\n\nIn contrast to our Up and Running in Stata course however, it does not include specific applied Lab based exercises at the end of each individual session.\n","Plus 22% VAT","nie","nie"]
["TI306","Timberlake Consultants","Time Series Econometrics (online) ","Online",2,2,"2020-10-23","2020-10-24","360 GBP + VAT","pred začiatkom kurzu","https://www.timberlake.co.uk/courses/time-series-forecasting-eviews.html","This online intensive course provides a comprehensive introduction to time series analysis and forecasting with EViews. The course offers a full overview on time series models and forecasting methods, covering a variety of different models including ARMA, ARDL, Regime Switching models, GARCH models and Midas time series regressions. Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. \n\nTaking a “learning-by-doing” approach, we present the most relevant time series models employing plenty of financial and macroeconomic data examples. The course specifically focuses on forecasting methodologies in macro econometrics and financial econometrics. Participants leave with the know-how on a wide range of time series models and the ability to identify which one to use for a specific modelling and forecasting purpose. \n\nThe course is intentionally flexible. The agenda emerges dynamically and depends on the group’s prior background and knowledge of EViews. By the end of the two-day on line course participants should be able to: \nModel and forecast from a univariate AR(FI)MA model \nModel and forecast from a univariate GARCH (including EGARCH, TARCH, APARCH and GJR models) \nDistinguish between stationary and nonstationary series and understand the implications of using nonstationary series; \nBuild, estimate and forecast from univariate time series models using Eviews an compare the forecasting performances of the models \nUnderstand and critically evaluate recent research in time series \n",null,"nie","nie",2]
["TI307","Timberlake Consultants","Machine Learning using Stata: Introduction & Advanced, Co-Developed with Lancaster University ","Online",4,4,"2020-10-26","2020-11-10","480 GBP + VAT","Full payment of course fees is required prior to the course start date to guarantee your place.","https://www.timberlake.co.uk/courses/machine-learning-stata-intro-advanced-2020.html","Course Overview: Part one\nRecent years have witnessed an unprecedented availability of information on social, economic, and health-related phenomena. Researchers, practitioners, and policymakers have nowadays access to huge datasets (the so-called “Big Data”) on people, companies and institutions, web and mobile devices, satellites, etc., at increasing speed and detail. \n\nMachine learning is a relatively new approach to data analytics, which places itself in the intersection between statistics, computer science, and artificial intelligence. Its primary objective is that of turning information into knowledge and value by “letting the data speak”. To this purpose, machine learning limits prior assumptions on data structure, and relies on a model-free philosophy supporting algorithm development, computational procedures, and graphical inspection more than tight assumptions, algebraic development, and analytical solutions. Computationally unfeasible few years ago, machine learning is a product of the computer’s era, of today machines’ computing power and ability to learn, of hardware development, and continuous software upgrading.\n\nThis course is a primer to machine learning techniques using Stata. Stata owns today various packages to perform machine learning which are however poorly known to many Stata users. This course fills this gap by making participants familiar with (and knowledgeable of) Stata potential to draw knowledge and value form row, large, and possibly noisy data. The teaching approach will be mainly based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions. \n\nAfter the course, participants are expected to have an improved understanding of Stata potential to perform some of the most used marching learning techniques, thus becoming able to master research tasks including, among others: \n•(i) factor-importance detection \n•(ii) signal-from-noise extraction\n•(iii) correct model specification\n•(iv) model-free classification, both from a data-mining and a causal perspective.\n\nCourse Overview: part 2\n\nThis course will focus on three specific techniques not covered in the first-part course, that is :regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions).\n\nThe teaching approach will be mainly based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions.\n\nAfter the course, participants are expected to have an improved understanding of Stata potential to perform some of the most used machine learning techniques, thus becoming able to master research tasks including, among others: \n• (i) factor-importance detection,\n• (ii) signal-from-noise extraction,\n• (iii) model-free regression and classification, both from a data-mining and a causal perspective.\n\n\nThe course is open to people coming from all scientific fields ,but it is particularly targeted to researchers working in the medical, epidemiological and socio-economic sciences.\n",null,"nie","nie",2]
["TI308","Timberlake Consultants","Regression Modelling using Stata","Online",2,2,"2020-10-29","2020-10-30","450 GBP+VAT","Payment of course fees required prior to the course start date.","https://www.timberlake.co.uk/courses/linear-and-non-linear-regression-models-in-stata.html","Agenda\nTwo days of online instruction for four hours per day. \n Two hours each morning, followed by two hours each afternoon.\n Hour-long Q&A session at the end of each day to address queries.\n•Day 1\n•Day 2 \n\nDay 1\n\nSession 1: Linear regression Part 1\n•Getting started with Stata\n•Importing data from other formats and writing coomand\n•Regression models: why they are so important\n•Setting up a linear regression: Interpretation, variable selection, estimation, dummy variables\n\nSession 2: Is the Model good enough? \n•Post –estimation diagnostic tests\n•Serial correlation\n•Heteroskedasticity \n•Non -linarites\n•Structural Breaks\n\nDay 2\n\nSession 1: Non-linear regression models\n•Non linear Least Squares and MLE in Stata\n•Interpretation of results\n•Model diagnostics\n•Which type of non –linear model? \n\nSession 2: The power of non -linarites\n•Short-comings of the linear model\n•Model with regime switches\n•Maximum likelihood estimation\n•Markov chain models\n•Exponential and other curve fittings Models\n",null,"nie","nie",2]
["TI309","Timberlake Consultants","Macroeconomic Density Forecasting & Nowcasting ","Online",2,2,"2020-11-02","2020-11-03","450 GBP+VAT","Payment of course fees required prior to the course start date.","https://www.timberlake.co.uk/courses/training-macroeconomic-density-forecasting-nowcasting-online.html","Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques. \n\n The focus will be more on the empirical implementation of the techniques then on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential. \n\n This course is aimed at: \n•Economists and statisticians at Central Banks, public institutions, financial institutions, consultancy firms, or firms who deal with forecasting in their daily work;\n•Academics and research economists who use, or are interested in forecasting techniques for their research;\n•Professionals involved in rating activities.\n",null,"nie","nie",2]
["TI310","Timberlake Consultants","Panel Data Econometrics - in Collaboration with Lancaster University ","Online",2,2,"2020-11-05","2020-11-06","300 GBP+VAT•Payment of course fees required prior to the course start date.",null,"https://www.timberlake.co.uk/courses/panel-data-econometrics-stata-nov20.html","Panel data econometrics has developed rapidly over the last decades.\nLongitudinal data are more and more available to researchers and methods to analyse these data are in high demand from scholars from different fields.\n\nThe course offers a comprehensive overview on panel data methods with Stata, covering static and dynamic linear models.\n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.\n\nBy the end of the two-day on-line course, participants should be able to prepare panel data for the analysis with Stata, choose the relevant model, get the parameter estimates and interpret the results.\n",null,"nie","nie",2]
["IC016","International Training Centre","E-Learning on Actuarial Modeling for Social Protection Analysts","Online",{"$f":"NETWORKDAYS(G900,H900,sviatky)","v":34},{"$f":"_xlfn.DAYS(H900,G900)+1","v":47},"2020-10-05","2020-11-20","1485 EUR","2020-09-25","https://www.itcilo.org/courses/e-learning-actuarial-modeling-social-protection-analysts","Efficient governance supported by sound actuarial studies can make a lasting difference in the long-term success or failure of social protection systems. The adequacy and financial sustainability of long-term benefits provided under national public pension schemes have major policy implications. Actuarial studies are empowering policy-makers to better anticipate future deficits and achieve the policy objectives of social protection systems. Through a combination of lectures and applied modelling exercises, this course aims at reinforcing the technical skills needed for the long-term actuarial planning of national pension schemes and social protection systems.  The course is designed for quantitative specialists, such as economists, actuaries, statisticians, mathematicians, computer programmers, accountants and financial managers, involved in the financial planning of public pension schemes and other social protection programs.","Participants who successfully complete all assessments and the final assignment will receive a Certificate of Achievement.","nie","Áno - assignment"]
["IC017","International Training Centre","Introduction to Gender-Responsive Budgeting in Public Institutions","Online",{"$f":"NETWORKDAYS(G901,H901,sviatky)","v":39},{"$f":"_xlfn.DAYS(H901,G901)+1","v":54},"2020-10-26","2020-12-18","995 EUR","2020-10-09","https://www.itcilo.org/courses/introduction-gender-responsive-budgeting-public-institutions","The online training programme will introduce participants to the operating principles and most commonly used strategies and tools to integrate a gender dimension in budgetary processes. Starting with the basics of GRB through an analysis of the budgeting cycle, the course will discuss how national and local commitments on gender equality can (and should) be supported through budgetary priority setting in order to achieve de-facto gender equality as well as effective use of budget funds. The training will also cover different examples and case studies to show variety of GRB approaches around the world. The main contents that will be discussed are: - Macroeconomics: why does gender matter? - Gender-responsive budgets: principles and definitions - GRB and the budget cycle framework: key steps and outputs - Tools for GRB: an overview - GRB as a tool for a good governance - Tools for GRB: focus on selected experiences - Stakeholders and partnerships for successful GRB initiatives",null,"nie","nie"]
["MC001","Metrika Consulting AB","Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals","Online",{"$f":"NETWORKDAYS(G902,H902,sviatky)","v":4},{"$f":"_xlfn.DAYS(H902,G902)+1","v":4},"2020-10-20","2020-10-23","950 USD","2020-10-13","https://www.stata.com/training/public/using-stata-effectively/","Become intimately familiar with three components of Stata: data management, analysis, and graphics. This course is aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata. Upon completion of the course, you will be able to use Stata efficiently for basic analyses and graphics. You will be able to do this in a reproducible manner, making collaborative changes and follow-up analyses much simpler. Finally, you will be able to make your datasets self-explanatory to your co-workers and yourself when using them in the future.","The course is taught using Stata. It is appropriate for those who already own Stata and for those who are considering purchasing or upgrading. There is no requirement that the user already own a Stata license.","nie","nie"]
["MC002","Metrika Consulting AB","Introduction to Bayesian Analysis Using Stata","Online",{"$f":"NETWORKDAYS(G903,H903,sviatky)","v":4},{"$f":"_xlfn.DAYS(H903,G903)+1","v":4},"2020-10-27","2020-10-30","1295 USD","2020-10-20","https://www.stata.com/training/public/bayesian-analysis-using-stata/","Learn to use Stata to perform basic Bayesian analysis. Bayesian analysis is a statistical paradigm that answers research questions about unknown parameters using probability statements. For example, what is the probability that a person accused of a crime is guilty? What is the probability that treatment A is more cost effective than treatment B for a specific healthcare provider? What is the probability that the odds ratio is between 0.3 and 0.5? And many more. Such probabilistic statements are natural to Bayesian analysis because of the underlying assumption that all parameters are random quantities. In Bayesian analysis, a parameter is summarized by an entire distribution of values instead of one fixed value as in classical frequentist analysis. Estimating this distribution, a posterior distribution of a parameter of interest, is at the heart of Bayesian analysis. This course will provide an introduction to Bayesian analysis, demonstrate its use in several applications, and introduce Stata's suite of commands for conducting Bayesian analysis.","Basic knowledge of statistics and regression analysis and a working knowledge of Stata.","nie","nie"]
["MC003","Metrika Consulting AB","Casual Inference Using Stata: Estimating Average Treatment Effects","Online",{"$f":"NETWORKDAYS(G904,H904,sviatky)","v":4},{"$f":"_xlfn.DAYS(H904,G904)+1","v":4},"2020-12-01","2020-12-04","1295 USD ","2020-11-24","https://www.stata.com/training/public/treatment-effects-using-stata/","Learn how and when to use Stata’s treatment-effects estimators to analyze treatment effects in observational data. Use regression adjustment, inverse probability weights, doubly robust methods, propensity-score matching, and covariate matching to estimate average treatment effects (ATEs) and ATEs on the treated. We will cover the conceptual and theoretical underpinnings of treatment effects as well as many examples using Stata. ","A general familiarity with Stata and a graduate-level course in regression analysis or comparable experience. ","nie","nie"]
["CG001","University of Cambridge","Circular Economy & Sustainability","Online",4,4,"2020-11-26","2020-12-01","1875 GBP + 375 VAT",null,"https://www.jbs.cam.ac.uk/executive-education/open-programmes/cambridge-live-online/circular-economy-sustainability/#item6","The Circular Economy model is one that requires organisations across the value chain to explore adopting disruptive technologies based on improving asset life; adopting mechanisms for reusing, repairing and remanufacturing in the production process. The aim of circularity is to put back into the system everything relating to production, distribution and consumption, in order to extract as much value as possible from the resources and materials we utilise. The Circular Economy can be considered as an enabler to achieving overall sustainability in our economy.\n\nThis new programme will look at the importance of sustainability with respect to development goals and business models, and will examine its financial implications for an organisation. You will learn how to design end-user value propositions which will lead to increased cost efficiency, production effectiveness and business performance. \n\nThe new Live Online format of this programme offers the unique opportunity to network with a diverse group of peers, from different regions, industries and sectors.\n",null,"nie","nie"]
["JH001","John Hopkins University","Design Thinking for Innovative Problem Solving","Online",3,3,"2020-12-09","2020-12-11","3800 USD",null,"https://careybusinessschool.force.com/CareyExecEd/evt__conf_detail?id=a0e1T00000D9Vi8QAF","Now more than ever, leaders recognize the value of creativity and its role in organizational successes. Enter design thinking - a human-centered process utilized by many of today’s most creative and competitive organizations. With an emphasis on research, ideation and prototyping, design thinking helps teams leverage their collective expertise to achieve innovative solutions to challenging problems. Leaders will work in teams to solve a complex problem while applying the entire design thinking process. This seminar is unique in that it embraces multiple academic perspectives (design and design theory, organizational behavior and social psychology) to provide participants with a rich, hands-on learning experience. The overarching goal is to provide leaders with the skills and knowledge they need to use design thinking in their own teams and organizations.\n\nIn our Design Thinking for Innovative Problem Solving course, learn how to leverage research, ideation, and prototyping to tackle even the hardest business challenges. Collaborate with industry peers and explore creative approaches to problem solving, while learning the basics of design thinking methodology.\n",null,"nie","nie"]
["TB008","TBM Council","TBM Foundation Course - Live Online Training","Online",{"$f":"NETWORKDAYS(G907,H907,sviatky)","v":3},{"$f":"_xlfn.DAYS(H907,G907)+1","v":4},"2020-11-16","2020-11-19","1190 USD",null,"https://web.cvent.com/event/8defdada-7dbf-4f1d-a6bd-1f6c7b1dbf63/summary?rp=00000000-0000-0000-0000-000000000000","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.","4 Hour Sessions Each Day Beginning\nNew York 8 AM / Paris 2 PM","nie","áno"]
["TB009","TBM Council","TBM Foundation Course - Live Online Training","Online",{"$f":"NETWORKDAYS(G908,H908,sviatky)","v":4},{"$f":"_xlfn.DAYS(H908,G908)+1","v":4},"2020-12-14","2020-12-17","1190 USD",null,"https://web.cvent.com/event/8defdada-7dbf-4f1d-a6bd-1f6c7b1dbf63/summary?rp=00000000-0000-0000-0000-000000000000","Improve your business acumen by taking the first-ever education program specifically designed for tomorrow’s business-minded technology leaders. The TBM Executive Foundation Course  provides senior IT leaders and finance managers  the essential knowledge that drives business transformation within IT by running a successful Technology Business Management (TBM) program. After taking the course, you will have the opportunity to get certified by the TBM Council, giving you the ability to further demonstrate your business savvy.","4 Hour Sessions Each Day Beginning\nNew York 8 AM / Paris 2 PM","nie","áno"]
["TS020","Tstat","UP AND RUNNING STATA","Online",2,2,"2020-12-03","2020-12-04","1175 + 22% DPH",null,"https://www.tstattraining.eu/training/up-and-running-stata-ol/","Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats, merging of databases and the creation of graphs in Stata.\nIn common with TStat’s training philosophy, Up and Running in Stata is by its very nature to be considered very much a Hands-On approach to learning Stata course. Each individual session is composed of both a theoretical component and an applied segment, during which participants have the opportunity to implement the techniques illustrated under the watchful eye of the course tutor.","Familiarity with PCs and a working knowledge of English.","nie","nie"]
["IP025","ictPRO","Základy jazyka SQL v SQL Serveru - dotazování a manipulace s daty (SQL1)","Online/Praha, Česko",{"$f":"NETWORKDAYS(G910,H910,sviatky)","v":3},{"$f":"_xlfn.DAYS(H910,G910)+1","v":3},"2020-12-02","2020-12-04","486 EUR",null,"https://www.skoleni-ict.cz/kurz/Zaklady-jazyka-SQL-v-SQL-Serveru-dotazovani-a-manipulace-s-daty-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří chtějí efektivním způsobem dohledávat data z SQL Server nejen za účelem reportu. Naučí se v něm nejhlavnější možnosti ovládání programu SQL Server Management Studio (SSMS). Dále se naučí, jak psát efektivní dotazy pro vyhledání záznamů na základě různých kritérií a jak vytvořit report formou tabulek bez využití Excelu. Naučíte se jak správně propojit záznamy z více tabulek a jak zajistit jedinečnost správnost zapisovaných dat. Cílem kurzu je také rozšířit znalosti o zakládání, úpravu a mazání dat za pomocí příkazů SQL. ",null,"nie","nie"]
["TI311","Timberlake Consultants","Stata Winter School","Online",5,6,"2020-12-14","2020-12-19","1 800 GBP",null,"https://www.timberlake.co.uk/stata-winter-school-dec2020.html#prices","The Stata Winter School consists of a series of one and two-day courses which can be taken individually or as a whole as required. The School is aimed at students, academics and professionals who want to develop and strengthen their data processing, programming, graphics and statistical skills using Stata. All of the courses are taught interactively using a blend of theory, follow-along demonstrations and exercises.","Kurz jemožné rozdeliť a zúčastniť sa len časti školenia po dňoch. Cena sa líši v závislosti od zvolených dní.","nie","nie",2]
["TI312","Timberlake Consultants","Instrumental Variables and Structural Equation Modelling using Stata - Online","Online",2,2,"2020-12-03","2020-12-04","930 GBP","5 dní pred začiatkom kurzu","https://www.timberlake.co.uk/courses/instrumental-variables-structural-equation-modelling-stata.html#terms","This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity. Participants will obtain extensive hands-on experience by working on real datasets examples from different social and biomedical sciences. Technical treatment of the subjects will be set out only to properly address real-world applications. The course will demonstrate visual intuitive graphical representations of causal links, as well as on traditional algebraic approach. The course will enable them to recognise IVs and design causal paths in their own studies, by understanding underlying assumptions in different fields of application.",null,"nie","nie",2]
["TI313","Timberlake Consultants","Programming with Eviews","Online",2,2,"2020-12-14","2020-12-15","450 GBP",null,"https://www.timberlake.co.uk/courses/programming-with-eviews.html","This course is for economists, econometricians and applied researchers who want to go even further in Eviews by coding something that is not implemented in the existing routines such as long memory GARCH models or Value at Risk. In addition, one may wish to make life easier and to ask EViews to perform some repetitive tasks. This is where EViews Programming starts. The goal of this training course is to make life easier, namely to do things with only a small investment instead of learning a completely new language.EViews is a great statistical package. From its drop down menu one can easily run simple OLS regressions, conduct hypothesis testing, obtain misspecification tests, estimate non-linear least squares, estimate simultaneous equation models, test for unit roots and cointegration, estimate long-memory models and time varying conditional variance specifications, run VARs, VECMs and Bayesian VARS, obtain impulse responses from structural VARs and estimate mixed frequency models (MIDAS).This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.",null,"nie","nie",2]
["TI314","Timberlake Consultants","Macroeconomic Density Forecasting & Nowcasting","Online",2,2,"2020-12-03","2020-12-04","450 GBP",null,"https://www.timberlake.co.uk/courses/training-macroeconomic-density-forecasting-nowcasting-online.html","Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques.The focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential.",null,"nie","nie",2]
["CL030","University College London (UCL)","Dealing with Missing Data in Research Studies: an Introduction","Online",4,4,"2020-12-07","2020-12-10","225 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/dealing-missing-data-research-studies-introduction","This short course looks in depth at the problem of missing data in research studies. You'll learn about different types of missing data, and the reasons for this, along with good and bad methods of dealing with them. This course takes place online, over two or three mornings (9:30am to 1pm). The third day is optional and will focus on practical application using SPSS. \nCourse content\nMissing data are very common in research studies, but ignoring these cases can lead to invalid and misleading conclusions being drawn. This workshop gives you guidance on how to deal with missing values and sets out the best ways of analysing an incomplete dataset. The first two days cover the following topics: Reasons for missing data; Types of missing data; Simple methods for analysing incomplete data;  More sophisticated methods of dealing with missing data (simple and multiple stochastic imputation, weighting methods) On the third (optional) day of the course, you'll put the first day's theory into practice using SPSS and real-world datasets. Particular emphasis is given to multiple imputation.",null,"nie","nie"]
["IP026","ictPRO","PRINCE2® Practitioner ","Online",2,2,"2020-12-17","2020-12-18","23 837 KČ",null,"https://www.skoleni-softskills.cz/kurz/PRINCE2-Practitioner-PRNC2.aspx","Kurz PRINCE2 Practitioner navazuje na kurz PRINCE2 Foundation. Představuje certifikační kurz projektového řízení, který je zakončen mezinárodní zkoušku PRINCE2 Practitioner. \nCena vlastního kurzu je 13.400 Kč na osobu. V ceně jsou všechny potřebné školící materiály a další naše služby spojené s péčí o účastníky. Certifikační zkouška AXELOS® PRINCE2 Foundation stojí dalších 6.300 Kč na osobu včetně certifikátu ",null,"nie","nie"]
["IP027","ictPRO","ITIL® Foundation ","Online",3,3,"2020-12-09","2020-12-11","20 328 KČ",null,"https://www.skoleni-softskills.cz/kurz/ITIL-Foundation--ITIL1.aspx","Kurz Vás seznámí s nejlepšími praktikami z oblasti poskytování a správy IT služeb. ITIL představuje celosvětově nepopulárnější přístup ke správě celého životního cyklu IT služby z pohledu poskytovatele. ",null,"nie","nie"]
["IP028","ictPRO","Datová analýza v Pythonu ","Online",2,2,"2020-12-10","2020-12-11","11 858 KČ",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx","Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech.. ",null,"nie","nie"]
["IP029","ictPRO","Python - základy programování","Online",3,3,"2020-12-02","2020-12-04","13 189 KČ",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.Přihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata. ",null,"nie","nie"]
["GE240","GESIS – Leibniz Institute for Social Sciences","Introduction to Stata for Data Management and Analysis","Online",3,3,"2021-07-28","2021-07-30","240 EUR",null,"https://www.gesis.org/gesis-training/news-details/article/2nd-virtual-gesis-summer-school-in-survey-methodology-register-now","This course will give a thorough introduction to the Software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills. The course will not cover basic statistical methods and their underlying mathematics but how to apply these methods using Stata.\nIn the first part of the course, we will cover the program's interface and introduce its syntax structure and basic rules to write clean and reproducible Stata code. Subsequently, we will provide you with skills in hands-on data management, common data analyses, and the visualization of results. Depending on the participants' prior knowledge, we will be able to give further insight into the automatization of data wrangling and analysis procedures, as well as the export of publication-ready results. Also, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems.","Prerequisites:\nFamiliarity with quantitative data\nBasic knowledge of uni- and bivariate statistics (e.g. descriptive statistics, basics of regression analysis)\nKnowledge of other syntax-based software is helpful but not required\nParticipants will be provided with access to Stata licenses by GESIS but must install the software prior to the course on their own devices.","nie","nie",2.5]
["GE241","GESIS – Leibniz Institute for Social Sciences","Using Directed Acyclic Graphs for Causal & Statistical Inference","Online",3,3,"2021-07-28","2021-07-30","240 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xF23B418A38CA4D8D8418E8F85C7E8F09","This course uses causal graphs (or “directed acyclic graphs”) as a remarkably simple, yet general and powerful framework to describe and discuss a large set of problems that empirical social scientists need to tackle. Is my question of interest descriptive or causal? How can I communicate my assumptions effectively to others, and can I test them? How can I tell correlation from causation? How do I choose control variables for my regression models? After discussing how DAGs can be used to answer these foundational questions, the course also covers basics of causal mediation, instrumental variables, nonresponse/selection bias (and adjustments for it), and (if time permits) panel data analysis from a “graphical” perspective.","Participants should be willing to learn and use formal reasoning and must have at least Bachelor-level knowledge of statistics. Basic knowledge of R is helpful.","nie","nie",2.5]
["GE242","GESIS – Leibniz Institute for Social Sciences","Pretesting Survey Questions","Online",3,3,"2021-07-28","2021-07-30","240 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x313060ECDD0B470393F647B58423FF58","The course covers the basic elements of evaluating questionnaires and highlights the general importance of carrying out (cognitive) pretests before fielding a questionnaire. This is achieved through both lectures and group exercises. In the lectures, we introduce three pretesting approaches, namely questionnaire appraisal systems, cognitive interviewing and web probing. The exercises aim at familiarizing participants with these pretesting methods. We focus on the sorts of information gathered by each method and how the information can be used to reduce measurement error. In this context, we will also discuss the pros and cons of the different pretesting methods and mixed-method approaches. Besides a more general introduction of the pretesting approaches, participants will receive practical advice on how to conduct (cognitive) pretesting projects and how to decide which pretesting methods should be selected in a given research situation.","Prerequisites\nBasic knowledge in questionnaire design; however, some practical experience in conducting surveys will be beneficial.\nThere are no statistical prerequisites","nie","nie",2.5]
["GE243","GESIS – Leibniz Institute for Social Sciences","Introduction to Survey Design","Online",5,5,"2021-08-02","2021-08-06","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x83A7AF79CC034604AFE247B6AB68DA40","This course gives an introductory overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing data quality at each step of the process against associated costs.","Prerequisites\nNo previous experience in survey research is needed; however, some basic practical experience in conducting surveys and analyzing data will be beneficial.\nA basic understanding of statistics is assumed, at the level of basic inferential statistics (t-tests).\nAll students need to send a brief summary of their experience with surveys (about 0.5 page) and the questions they have about how to design surveys before the start of the course to the instructors\nParticipants should be prepared to share information about the survey they are planning on conducting, they are currently involved with or would like to conduct in the future.","nie","nie",2.5]
["GE244","GESIS – Leibniz Institute for Social Sciences","Questionnaire Design","Online",5,5,"2021-08-02","2021-08-06","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xD3CA22BB7D3E4A05B1CFF2B99BC8DF87","Briefly speaking, the quality of survey answers provided by respondents can only be as good as the questions being asked. Thus, an effective questionnaire is a key component of a survey contributing to overall data quality. In addition to an overview of theoretical principles underlying questionnaire design this course particularly aims at providing evidence-based practical advice on how to design good survey questions and questionnaires. Based on field-experimental studies evaluating various aspects of questionnaire design participants will acquire state of the art knowledge concerning questionnaire design. The course offers the opportunity to apply these competencies under the supervision of the lecturer in exercises and assignments. The course will strengthen the, participants' ability to design effective survey questions and to integrate them into a meaningful questionnaire.","Basic knowledge in quantitative social science research methods is required; basic knowledge concerning survey design and data quality is advisable. Participants not familiar with the total survey error framework are encouraged to consider the preparatory reading mentioned at the end of this syllabus. There are no statistical prerequisites.\nCourse participants will need a laptop computer for performing the practical exercises in this course. The laptop should have the following software installed: Office package","nie","nie",2.5]
["GE300","GESIS – Leibniz Institute for Social Sciences","Introduction to R for Data Analysis","Online",5,5,"2021-08-02","2021-08-06","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x02FBC86744084F37B3C4A2D2C584237E","The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. In addition to providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.","Prerequisites\nprior experience with quantitative data analysis, basic statistics, and regression\nexperience with using other statistical packages (e.g., SPSS or Stata) is helpful, but not a requirement.","nie","nie",2.5]
["GE245","GESIS – Leibniz Institute for Social Sciences","Survey Sampling and Weighting","Online",5,5,"2021-08-02","2021-08-06","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xF342A0463CA94E5D81CCB5A6BD2D1D17","This practical course will cover the process of probability sampling, weighting and estimation. This includes a) methods of sample selection, b) methods of weighting including design weighting, nonresponse weighting and poststratification techniques, and c) methods of parameter estimation for complex sample survey data. Please note that the course will only provide a short excursus to non-probability sampling. The emphasis of the course is more applied than theoretical, but students are expected to be comfortable with statistics and to have some experience with data analysis. For each topic, students will do exercises in Stata that apply the techniques learned in the lectures. Prior knowledge in how to use Stata is needed.","Prerequisites\nIntroductory course in statistics. No prior knowledge of sampling theory is assumed.\nPrior knowledge in Stata is required for this course.\nBasic understanding in survey methodology and how to handle survey data.","nie","nie",2.5]
["GE246","GESIS – Leibniz Institute for Social Sciences","Statistical Analysis of Incomplete Data","Online",5,5,"2021-08-09","2021-08-13","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xF4028A2979F44300BDD1B3007F2F67AB","This course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R, SAS, Stata, SPSS, …), the method has become more accessible to data analysts. For didactic purposes, we start by introducing some naive ways of handling missing data, and we use the examination of their weaknesses to create an understanding of the framework of Multiple Imputation. The first day of this course is of a somewhat theoretical nature, but we believe that a fundamental understanding of the MI principle helps to adapt to a wider range of practical problems than focusing on a few select situations. We will subsequently shift to the more practical aspects of statistical analysis with missing data, and we will address frequent problems like regression with missing data. Further examples will be covered throughout the course, which are predominantly based on the statistical language R. We recommend basic R skills for this course, but it is possible to understand the course contents without prior knowledge in R, as the main MI algorithms are almost identical across all major software packages.","Prerequisites\ngeneral knowledge of data preparation and data analysis\nan advanced understanding of the (generalized) linear model;\nfamiliarity with statistical distributions;\nbasic knowledge of matrix algebra helpful;\nsolid skills in either R, SPSS, or Stata (recommended for exercises).","nie","nie",2.5]
["GE247","GESIS – Leibniz Institute for Social Sciences","Design and Implementation of Web Surveys","Online",5,5,"2021-08-09","2021-08-13","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x2898B66551074E119357F24B35158757","This course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users' (respondents') experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.\n","Prerequisites\nSome familiarity with survey research.\nPlans to use a web survey in a project is helpful but certainly not essential.","nie","nie",2.5]
["GE248","GESIS – Leibniz Institute for Social Sciences","(Non-)Probability Samples in the Social Sciences\n","Online",5,5,"2021-08-09","2021-08-13","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x64AB5A0D2A344AC6AECE71C3AF4D1614","The main objective of the course is to provide students with a full overview of the history, theoretical foundations, critical arguments, and accumulated empirical evidence surrounding the debate about probability and nonprobability sample surveys. A focus will be on real-world examples of why and how the choice of sample type matters, including topics such as gender data gap, election polling debacles, and the role that surveys can have in supporting versus debunking fake news. In addition to discussing these topics, the course will provide students with an in-depth understanding of the conditions under which probability and nonprobability samples can provide useful data to answer social scientific research questions (so-called \"fit-for-purpose\" designs), including hands-on recommendations and excercises on how to design your own (hypothetical) research study.","Prerequisites\nBasic knowledge of introductory statistics (e.g., descriptive statistics, basic regression analysis)\nBasic conceptual understanding of survey data collection (e.g., survey lifecycle, Total Survey Error framework)\nBasic understanding of sampling theory and/or survey weighting procedures is desirable, but not strictly necessary.","nie","nie",2.5]
["GE249","GESIS – Leibniz Institute for Social Sciences","Designing, Implementing, and Analyzing Longitudinal Surveys","Online",5,5,"2021-08-09","2021-08-13","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xD6225DA2B41F4ED28D97008A69A5BDAF","The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\nA review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put.\nKey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes.\nImportant aspects of designing a questionnaire and measurement for a longitudinal studies, particularly for capturing micro-level change\nThe impact of non-response and attrition in a panel, and adjustments such as weighting and imputation given that missing data patterns differ between waves.\nAn introduction to important analysis considerations and methods when using a longitudinal survey design.\nIn addition, each morning time will be available in a computer lab for exercises for practical application of these methods and an opportunity for more interaction with the instructors.","Prerequisites\nparticipants should have basic knowledge of survey methodology from a cross-sectional perspective, in particular with respect to survey design, instrument development, and survey implementation\nbasic knowledge of statistics and statistical modelling (i.e., regression) and of a statistical software (Stata or R).  ","nie","nie",2.5]
["GE250","GESIS – Leibniz Institute for Social Sciences","A (Short) Course on (Short) Scale Development","Online",3,3,"2021-08-18","2021-08-20","240 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xAF5723BFABDD44BD8EA8EF5406AFBA56","The course deals primarily with the practical aspects of scale development and questionnaire design. However, it also covers relevant methodological and theoretical basics (e.g., the “psychometric” quality criteria of validity, reliability, objectivity, and others).\n \nWe will go through all phases of the development process and address the key objectives, best practices and challenges during each phase:\n(1) definition of the phenomenon or concept to be measured\n(2) generation of an initial item pool\n(2) selection of appropriate items\n(3) pretesting and validation of the instrument\n(4) documentation and dissemination of the instrument\n \nThe course will equip you with the basic skills that you need to develop adequate measures for your research. It can also be valuable to researchers who do not develop their own measures but are interested in evaluating or adapting existing ones.","Prerequisites\nBasic knowledge of survey research\nBasic knowledge of quantitative methods (correlation, regression, factor analysis, cluster analysis)\nRequired software: You should have access and should be familiar with at least one of the following software packages:  R, SPSS, or Stata\nIdeally, a concrete research concern for which a scale needs to be developed","nie","nie",2.5]
["GE251","GESIS – Leibniz Institute for Social Sciences","Mixed-Methods and Multimethod Research","Online",5,5,"2021-08-16","2021-08-20","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0x8991CB1552D44D93A0D7AD8086B3B1CB","This course deals with mixed-methods and multimethod research (MMR) in the social sciences. We will discuss the broader understanding of combining qualitative and quantitative methods (mixed methods) and the narrower approach of nested analysis. The course aims to reflect the diversity of MMR studies in the discipline to accommodate participants' projects. The relative emphasis we put on specific variants of MMR designs will be adapted to the methods participants are applying in their own research.\nThe goal of the course is to understand the different varieties in which MMR can be done. We discuss the unique advantages and methodological and practical challenges confronted in mixed-method research.\nTopics include the variety of mixed-method designs that are available; the use of concepts in the qualitative and quantitative analysis, case selection for qualitative research, the compatibility of theoretical expectations in the qualitative and quantitative analysis. The discussions are illustrated with examples from different fields of political science. By the end of the course, participants will able to realize their own mixed-methods study in a systematic manner, and to critically evaluate published MMR studies.","Prerequisites\nBasic knowledge of the two (or more) methods that participants want to apply in their projects.\nFamiliarity with meaning and standards of causal inference and causal explanation.","nie","nie",2.5]
["GE253","GESIS – Leibniz Institute for Social Sciences","Collecting and Analyzing Longitudinal Social","Online",5,5,"2021-08-16","2021-08-20","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xB1510AFD86524A14AA36DF8A4DAD15F9&subID=0xE19ECB3292254A82A35B06CB6BBE44F4","Social scientists often are interested in understanding how social networks emerge and/or how they shape individual behavior. These questions of network formation (“selection”) and network effects (“influence”) concern both human individuals and organizational units. Examples for selection are the emergence of friendship between people or cooperation between firms; examples for influence are adolescents start smoking because of their friends or firms copying other firms' strategies. Selection and influence are inherently dynamic processes, but few social scientists have been trained in collecting, processing and analyzing longitudinal social network data.\nThis practical course guides participants who intent to collect and/or analyze longitudinal social network data. We start by conceptualizing and planning data collection, discussing both general challenges and, if applicable, participants' own projects. Thereafter, participants learn how to handle and manage network data in R by guided examples and exercises. The main part of the course focuses on specifying, estimating and interpreting stochastic actor-oriented models (SAOM) for network dynamics, again with a mix of guided examples and practical exercises using the R package RSiena. We consider selection and influence as well as how SAOM can help to empirically disentangle these competing processes.","Prerequisites\nBasic knowledge in quantitative data analysis\nPrior knowledge of social network analysis and/or R is helpful but not necessarily required","nie","nie",2.5]
["IP030","ictPRO","ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","Online",3,3,"2021-06-09","2021-06-11","13 189 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","Znalost práce na PC. Výhodou je základní znalost algoritmizace, není však podmínkou.","nie","nie"]
["IP031","ictPRO","POKROČILÉ PROGRAMOVÁNÍ (PYTH2)","Online",3,3,"2021-06-07","2021-06-09","15 609 Kč",null,"https://www.skoleni-ict.cz/kurz/Python-pokrocile-programovani-PYTH2.aspx","Už umíte psát jednoduché programy v Pythonu a chcete svoji dovednost upevnit a získat dobré programátorské návyky? Python je objektově orientovaný programovací jazyk, který se velmi dobře integruje s dalšími nástroji. Python můžete použít k tvorbě všechno od drobné automatizace a skriptů až po rozsáhlé systémy.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte různorodé vlastnosti Pythonu a narazíte na mnohá překvapení. Ovládněte datový model Pythonu a naučte se vlastnosti tohoto jazyka a jeho knihoven využívat ve svůj prospěch.","Predpokladané znalosti: Znalost základů programování v jazyce Python","nie","nie"]
["IP032","ictPRO","DATOVÁ ANALÝZA V PYTHONU (PYDATA)","Online",2,2,"2021-07-29","2021-07-30","11 858 Kč",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx","Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech..","Predpokladané znalosti: Znalost základů programování v jazyce Python","nie","nie"]
["IP033","ictPRO","ZÁKLADY DOTAZOVÁNÍ A MANIPULACE S DATY V SQL SERVERU (SQL1)","Online",3,3,"2021-07-14","2021-07-16","13 189 Kč",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-a-manipulace-s-daty-v-SQL-Serveru-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek. Součástí kurzu jsou příkazy jazyka SQL, které slouží pro manipulaci s daty, tvorbu tabulek, vkládání, úpravu a odstraňování dat.","Predpokladané znalosti: Základní ovládání počítače s MS Windows.","nie","nie"]
["IP034","ictPRO","JAZYK SQL - POKROČILÉ TECHNIKY A PROGRAMOVÁNÍ V SQL SERVERU (SQL2)","Online/Brno, Česko",2,2,"2021-08-26","2021-08-27","9 559 Kč",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-pokrocile-techniky-a-programovani-v-SQL-Serveru-SQL2.aspx","Cílem kurzu je rozšíření znalostí o pokročilou programovatelnost SQL Serveru. Účastníci se naučí vytvářet a pracovat s pohledy, zapsat a používat vlastní uživatelské funkce, seznámí se s pokročilejšími možnostmi práce s daty jako jsou skórování dat, triggery a stored procedury, CTE a rekurzivní dotazy. Dozví se jak využít transakce pro vyšší bezpečnost a spolehlivost zpracování dat.","Predpokladané znalosti: \nZnalost jazyka SQL na úrovni základního kurzu. (SQL1)","nie","nie"]
["IP035","ictPRO","PRINCE2® FOUNDATION (PRNC1)","Online",3,3,"2021-08-23","2021-08-25","22 869 Kč",null,"https://www.skoleni-ict.cz/kurz/PRINCE2-Foundation-PRNC1.aspx","Účelem tohoto certifikačního školení PRINCE2 Foundation je seznámit stávající či budoucí projektové manažery či jiné zájemce s flexibilní a snadno použitelnou metodikou projektového řízení pomocí PRINCE2. Kurz seznámí účastníky jak se základy této metodiky PRINCE2, tak i s jejími klíčovými principy.\nCena vlastního kurzu je 13.900 Kč na osobu. V ceně jsou všechny potřebné školící materiály a další naše služby spojené s péčí o účastníky. Certifikační zkouška AXELOS® PRINCE2 Foundation stojí dalších 5.000 Kč na osobu včetně certifikátu AXELOS®.\nPRINCE2® a PRINCE® jsou registrované obchodní známky AXELOS Limited.",null,"nie","áno"]
["IP036","ictPRO","PRINCE2® PRACTITIONER (PRNC2)","Online",2,2,"2021-08-26","2021-08-27","23 837 Kč",null,"https://www.skoleni-ict.cz/kurz/PRINCE2-Practitioner-PRNC2.aspx","Kurz PRINCE2 Practitioner navazuje na kurz PRINCE2 Foundation. Představuje certifikační kurz projektového řízení, který je zakončen mezinárodní zkoušku PRINCE2 Practitioner.\nCena vlastního kurzu je 13.400 Kč na osobu. V ceně jsou všechny potřebné školící materiály a další naše služby spojené s péčí o účastníky. Certifikační zkouška AXELOS® PRINCE2 Foundation stojí dalších 6.300 Kč na osobu včetně certifikátu AXELOS®.\nPRINCE2® a PRINCE® jsou registrované obchodní známky AXELOS Limited.","Predchádzajúce skúsenosti: Základní znalosti o metodice PRINCE2 na úrovni kurzu PRINCE2 Foundation.","nie","áno"]
["IP037","ictPRO","ITIL® FOUNDATION (ITIL1)","Online",3,3,"2021-07-28","2021-07-30","20 328 Kč",null,"https://www.skoleni-ict.cz/kurz/ITIL-Foundation--ITIL1.aspx","Kurz Vás seznámí s nejlepšími praktikami z oblasti poskytování a správy IT služeb. ITIL představuje celosvětově nepopulárnější přístup ke správě celého životního cyklu IT služby z pohledu poskytovatele.\nUvedená cena je včetně certifikační zkoušky s mezinárodně platným certifikátem od zkušební instituce PeopleCert.",null,"nie","áno"]
["IC018","International Training Centre","CERTIFICATION PROGRAMME ON VALUE CHAIN DEVELOPMENT (VCD): MOVING FROM ANALYSIS INTO ACTION","Online",{"$f":"NETWORKDAYS(G942,H942,sviatky)","v":20},{"$f":"_xlfn.DAYS(H942,G942)+1","v":26},"2021-06-28","2021-07-23","1 400 EUR","2021-06-11","https://www.itcilo.org/courses/certification-programme-value-chain-development-vcd-moving-analysis-action","The ILO Value Chain Analyst Certification Programme will enhance your capacity to analyse value chains, identify systemic constraints in market systems and design impactful interventions for more and better jobs. Value Chain Analysis is a complex task, requiring individuals and agencies to apply an analytical framework to uncover the bottlenecks that inhibit growth and decent work in selected sectors and value chains. With this new capacity-building programme, the ILO trains and certifies practitioners, teaching them to adopt a systemic approach to value-chain development. The competencies the programme works to develop are based on a sub-set of the BEAM Exchange/DCED's \"Market System Development Competency Framework\".","Individual assessment of key VCA competencies\nAt the end of the training cycle, there will be an individual assessment of key value chain analysis competencies. This phase consists of a written test and interview and will require a time investment of 3 hours. Upon successful completion of the full programme, the participants will receive an ILO Value Chain Analyst Certificate.","nie","áno"]
["IC019","International Training Centre","FOSTERING THE SOCIAL AND PROFESSIONAL REINTEGRATION OF RETURN MIGRANTS","Online",30,40,"2021-06-14","2021-07-23","950 EUR",null,"https://www.itcilo.org/courses/fostering-social-and-professional-reintegration-return-migrants","Return migration continues to be one of the least considered aspects of migration policy, despite its crucial socio-economic significance for countries of both origin and destination. Obstacles to addressing return migration may stem from a lack of analytical tools providing information on the developmental impact of return migration and on the factors shaping returnees' patterns of reintegration, and the need for adequate institutional mechanisms to foster and support the social and professional reintegration of migrants in their country of origin. Policies addressing return migration need to take into account the pre- and post-return conditions faced by migrant workers, the reasons for their emigration and return, the duration of their stay abroad, and all the elements that may affect the capacity for reintegration in their home country. Such policies should consider the employment and investment opportunities for return migrants, whether they are returning temporarily or permanently. The need is for a development-oriented approach that places migrants' skills, rights, aspirations and know-how at the centre of the discussion. Return constitutes a stage in the migration cycle and requires a multidisciplinary rights-based approach and relevant support mechanisms. This online course will provide the advanced knowledge required for a better understanding of the social and professional reintegration of return labour migrants. Participants will share and examine innovative and comparative data on the conditions faced by returnees in their countries of origin, study mechanisms sustaining the reintegration of returnees, and use analytical tools and instruments that will be helpful in supporting their reintegration.",null,"nie","nie"]
["IC020","International Training Centre","E-LEARNING COURSE ON EMPLOYMENT IMPACT ASSESSMENT","Online",30,40,"2021-06-21","2021-07-30","900 EUR",null,"https://www.itcilo.org/courses/e-learning-course-employment-impact-assessment","This course aims to improve the design and implementation of policies intended to promote job creation by building the capacity of all relevant stakeholders to identify, measure and assess the employment effects of economic, sectoral, trade-related or labour market policies. In particular, the course will impart the competencies needed to make informed decisions about how to best measure and evaluate the results of interventions to promote decent jobs for women and men, with a particular focus on vulnerable groups such as youth, rural populations and informal workers.",null,"nie","nie"]
["IC021","International Training Centre","LEAVING NO ONE BEHIND COVID-19: APPLYING GENDER AND INTERSECTIONALITY TO DEVELOPMENT ACTION","Online",30,40,"2021-06-28","2021-08-06","1 310 EUR","2021-06-13","https://www.itcilo.org/courses/leaving-no-one-behind-covid-19-applying-gender-and-intersectionality-development-action","How can development actions generate inclusion and empowerment? Learn how to use analytical, design and creative tools to plan for decent work and economic development.",null,"nie","nie"]
["IC022","International Training Centre","E-LEARNING COURSE ON MEASURING AND ANALYSING LABOUR MIGRATION","Online",30,40,"2021-07-05","2021-08-13","975 EUR","2021-06-20","https://www.itcilo.org/courses/e-learning-course-measuring-and-analysing-labour-migration","Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is \"to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.\"",null,"nie","nie"]
["JV004","Joint Vienna Institute","Fiscal Policy Analysis","TBA",10,12,"2021-09-20","2021-10-01","0 EUR","2021-06-27","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21IM33.html","his two-week course, presented by the IMF´s Institute for Capacity Development, provides an overview of the concepts and techniques used to analyze how fiscal policy can help ensure macroeconomic stability and sustainable long-term growth. This hands-on course is built around the core macrofiscal topics needed to analyze fiscal policy. The learning units include general empirical findings, Microsoft Excel-based workshops, case studies, and selected topics of regional interest. The course will be of interest to officials who wish to better understand how fiscal policy can affect the economy and the related tools of analysis.",null,"nie","nie"]
["JV005","Joint Vienna Institute","Macroeconomic Diagnostics","TBA",10,12,"2021-09-20","2021-10-01","0 EUR","2021-05-20","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21IM40.html","This two-week course, presented by the Institute for Capacity Development, is designed to strengthen participants’ ability to comprehensively assess a country’s macroeconomic situation, including the current state of the economy; the stance of fiscal and monetary policy; financial stability; exchange rate misalignments; vulnerabilities in the different sectors; and the medium-term outlook, especially the sustainability of public and external debt.\n\n \n\nThe course emphasizes practical tools for use in day-to-day macroeconomic analysis and relies on case studies relevant to the region where the course is given to illustrate how these tools are applied and how they can contribute to the policymaking process.",null,"nie","nie"]
["MC004","Metrika Consulting AB","Introduction to Panel Data Using Stata","Online",31,43,"2021-07-16","2021-08-27","295 USD","2021-07-15","https://www.stata.com/netcourse/panel-data-intro-nc471/","Learn how to use all of Stata's tools and become a sophisticated Stata user. You will understand the Stata environment, how to import and export data from different formats, how Stata's intuitive syntax works, data management in Stata, matching and merging, how to analyze subgroups of data, how to reproduce your work and document it for publication and review, how to interact with the Stata community online, and more.","Scheduled courses run for six to seven weeks with weekly lessons that can be viewed at your convenience. You can ask course leaders questions and communicate with other NetCourse participants using the course discussion board.\nPrerequisites:\nStata 16 installed and working\nKnowledge of your computer\nInternet web browser, installed and working\n(Course is platform independent.)","nie","nie"]
["MC005","Metrika Consulting AB","Introduction to Survival Analysis Using Stata","Online",36,50,"2021-07-16","2021-09-03","295 USD","2021-07-15","https://www.stata.com/netcourse/intro-survival-analysis-nc631/","Learn how to effectively analyze survival data using Stata. We cover censoring, truncation, hazard rates, and survival functions. Topics include data preparation, descriptive statistics, life tables, Kaplan–Meier curves, and semiparametric (Cox) regression and parametric regression. Discover how to set the survival-time characteristics of your dataset just once then apply any of Stata's many estimators and statistics to that data. Written for everyone who uses Stata, whether health researchers or social scientists. We provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.","Scheduled courses run for six to seven weeks with weekly lessons that can be viewed at your convenience. You can ask course leaders questions and communicate with other NetCourse participants using the course discussion board.\nPrerequisites:\nStata 16 installed and working\nKnowledge of your computer\nInternet web browser, installed and working\n(Course is platform independent.)","nie","nie"]
["NS006","NATO School","Intelligence Analyst Course - Critical Thinking and Structured Analysis","Oberammergau, Nemecko",5,5,"2021-10-18","2021-10-22","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=4&TabId=155&keyword=&code=&startdate=6%2f1%2f2021&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US#4aid-aid","IMPLEMENT CRITICAL THINKING SKILLS: Given references, the students will be able to implement critical thinking skills to analyse topic-associated data, information, and evidence, utilizing multiple analytical techniques IAW the DIA’s CT&SA participant handbook.\nAPPLY CRITICAL THINKING AND STRUCTURED ANALYTICAL TECHNIQUES: Given references, the students will be able to Identify and apply structured analytical techniques utilizing various methodologies IAW the DIA’s CT&SA participant handbook.\nASSESS INDIVIDUAL THINKING SKILLS BY MITIGATING BIASES: Given references, the students will be able to identify their personal biases and improve their thinking skills through implementation of bias mitigation strategies IAW the DIA’s CT&SA participant handbook.\nDEVELOP CONFIDENCE IN ANALYSIS AND CONCLUSIONS: Given references, the students will be able to increase confidence in their analysis and conclusions IAW the DIA’s CT&SA tradecraft\nINTRODUCE INTELLIGENCE ANALYSIS IN NATO: Given references, the students will be able to explain the NATO doctrinal and organizational framework as well as current practise of intelligence analysis IAW NATO intelligence documents.","NATO Unclassified. Participants : Military non-commissioned officers and officers (OR-5 through OF-5) or civilian equivalent who are assigned, or selected for assignment, to a position in a NATO/Partner Headquarters or Agency, a NATO/Partner subordinate military headquarters, unit or agency of any NATO country which fulfils responsibilities in support of NATO. Priority is given to NATO Command Structure Peacetime Establishment personnel.","nie","nie"]
["NS007","NATO School","NATO CBRN Analysis Operators Course","Oberammergau, Nemecko",5,5,"2021-08-23","2021-08-27","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=74&TabId=155&keyword=&code=&startdate=6%2f1%2f2021&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","CBRN Analysis Program Concepts: Given references on CBRN Analysis software, the student will explain the CBRN warning and reporting concepts, capabilities, and limitations of the program in accordance with the operator’s manual and ATP-45.\nOperation Methodology: Given references on CBRN Analysis software, the student will demonstrate the ability to navigate program tools involving chemical, biological, nuclear, and radiological attack scenarios in accordance with the operator’s manual and ATP-45.\nConsequence Assessment: Given references on CBRN Analysis software, the student will apply input parameters for consequence assessment outputs in accordance with the operator’s manual and ATP-45.","NATO Unclassified. Participants : Military non-commissioned officers and officers (OR-5 through OF-5) or civilian equivalent who are assigned, or selected for assignment, to a position in a NATO/Partner Headquarters or Agency, a NATO/Partner subordinate military headquarters, unit or agency of any NATO country which fulfils responsibilities in support of NATO. Priority is given to NATO Command Structure Peacetime Establishment personnel.","nie","nie"]
["NS008","NATO School","Network Traffic Analysis","Oberammergau, Nemecko",50,70,"2021-06-12","2021-08-20","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=107&TabId=155&keyword=&code=&startdate=6%2f1%2f2021&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","Plan for Data Collection: Based on guided, hands-on lab exercises, independently completed challenge problems, and Distance Learning (DL) analysis problems, students will be able to systematically plan for data collection, in accordance with the guidelines provided by the course material.\nCapture Traffic of Interest: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems students will capture traffic of interest, in accordance with the guidelines provided by the course material.\nAnalyze Traffic: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems, students will analyse the traffic in accordance with the guidelines provided by the course material.\nDemonstrate Appropriate NT Actions: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems on traffic analysis, students will demonstrate appropriate action as a result of the analysis in accordance with the guidelines provided by the course material.\nEmploy Expert Systems: For a given data collection, students will be able to determine who is talking, what applications are being used, filter on conversations of interest, create statistical graphs related to issues of interest, employ expert systems to recognize anomalies and diagnose problem areas in accordance with the guidelines provided by the course material.\nDemonstrate Network Analysis, Troubleshooting, Security Analysis and Performance Evaluation Methods: Given the skills acquired during the course, students will demonstrate general analysis, network troubleshooting, security analysis, and application performance evaluation in accordance with the guidelines provided by the course material.\nApply Wireshark/Tshark/Kismet/LibCap/Wincap Tools: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems students will demonstrate the use of Wireshark, tshark, kismet, and libpcap/Wincap in accordance with the guidelines provided by the course material.\nDescribe Wireshark Functionality: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems, students will describe functionaility of Wireshark to include dissector evaluation, capture filters, display filters, and IO graph development in accordance with the guidelines provided by the course material\nPrevent Cyberattacks: Based on guided, hands-on lab exercises, independently completed challenge problems, and DL analysis problems students will identify the precursors of a cyber attack to allow them to take preventive measures in accordance with the guidelines provided by the course material.\nDiagnose Root Causes of Suspect Traffic: In the case of forensic analysis, students will be able to identify suspect traffic and make associations to identify root causes in accordance with the guidelines provided by the course material","This is a technical course that requires a modicum of technical education and/or experience background. The target audience is personnel (security managers, technicians and engineers) those work responsibilities require or would benefit from understanding of network protocol behaviour, mastering the utilization of a protocol/traffic analyser and developing a forensic explanation.\nNATO Unckassified.","nie","nie"]
["PT020","PTV Group","PTV Vissim - Introduction to Microscopic Traffic Flow Simulation","Online",2,2,"2021-06-08","2021-06-09","900 GBP",null,"https://www.ptvgroup.com/en/training/courses/tr-t0201/","During this two-day course you will be introduced to microscopic traffic flow simulation with PTV Vissim. You will get to know the extensive functions of PTV Vissim and learn their application using practical examples.In our introductory day, you will learn the basic functionality of PTV Vissim. At the end of the day you will be able to build small network models independently and perform initial evaluations. On the second day, you will learn how to conduct high quality traffic studies much more efficiently using the microscopic simulation software PTV Vissim. You will get to know how the different calibrations of a traffic model are carried out and which factors must be considered.",null,"nie","nie"]
["PT021","PTV Group","PTV Visum - Introduction to Macroscopic Network Modelling","Online",3,3,"2021-06-08","2021-06-10","1 350 GBP",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","You will learn how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. We will acquaint you with the description of procedure sequences including the procedures for private transport assignment as well as a common procedure for public transport assignment. We will use the PTV Visum Scenario manager to illustrate how to construct a base scenario and multiple planning scenarios and how to work with these scenarios.",null,"nie","nie"]
["PT022","PTV Group","PTV Vissim - Realistic Pedestrian Simulation with Viswalk","Online",1,1,"2021-06-10","2021-06-10","450 GPB",null,"https://www.ptvgroup.com/en/training/courses/tr-t0203/","Do you want to integrate pedestrians into your PTV Vissim simulations and use PTV Viswalk, the tool for the realistic simulation of pedestrian flows? The purpose of this one-day course is to explain the theoretical details of pedestrian simulation and to show you how to develop a pedestrian flow model which allows you to carry out your projects efficiently and successfully.",null,"nie","nie"]
["PT023","PTV Group","Introduction to Public Transport Modelling","Online",1,1,"2021-06-11","2021-06-11","535,50 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0102/","Primarily you work in the area of private transport modeling. Additionally, you would like to know how to handle the network objects which are required for modelling public transport networks. You will learn the fundamentals of public transport supply modelling. Moreover, how to connect the public transport demand and supply in PTV Visum will be explained. This training course serves as the basis for the use of the basic public transport functionality in PTV Visum. Users who are interested in detailed public transport modeling are recommended to attend the two-day Public Transport basic training course which includes both supply and demand.",null,"nie","nie"]
["SH012","Swiss School of Public Health","An Introduction to health economics: how should we finance and organize our health care systems","Online",1,1,"2021-08-26","2021-08-26","300 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_checon/","This day-long course shows how the tools of health economics can be used to understand the health and welfare implications of how our health care systems are funded and organized.\nLearning objectives:\nAt the end of the course students will be able to:\n\nExplain the constraints that resource scarcity places on health care decision-making;\nOutline varied forms of funding and financial protection in the healthcare system;\nCalculate resource capacity to meet the health needs of the population;\nInterpret the interrelationship between health and income at the individual and national level.",null,"nie","áno"]
["SH013","Swiss School of Public Health","Designing Health Care: Improving health care through Evidence-based Design","Online",1,1,"2021-08-27","2021-08-27","300 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cDHC/","In this one-day course, participants will gain an insight into evidence-based design in the healthcare sector and learn more about its processes and tools. In the first part, members of the interdisciplinary research group Health Care Communication Design HCCD of the Bern University of Applied Sciences BFH and the newly founded Swiss Center for Design and Health, will provide participants with some theoretical background. They use recent examples from the pandemic crisis and from their own work to show what effects design measures can have in the context of health care. In the second part, the course’s participants will take on a concrete case and work on it in groups. The goal is to develop an understanding of the respective context and to formulate appropriate solutions with the help of design methods. In a final round, the various approaches will be presented and discussed in plenary.",null,"nie","nie"]
["SH014","Swiss School of Public Health","Is Breathing killing us? Tackling Air Pollution using science for policies to protect health","Online",3,3,"2021-08-23","2021-08-25","300 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cAP/","Ambient air pollution is a leading cause of morbidities and premature death. The course provides basic insights into the measurement, modelling and monitoring of exposure to air pollution, it’s health effects and the overall impact and costs for public health. Clean air policy solutions will be introduced with success stories, “low hanging fruits” and global challenges for the implementation of these policies. Students will explore global examples of policy approaches and strength and limitations in their own countries. Group work of students will draft strategies to adopt at least one clean air policy.",null,"nie","nie"]
["SH015","Swiss School of Public Health","Community-based participatory methods in public health","Online",3,3,"2021-08-23","2021-08-25","800 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cCBPM/","This course aims to provide participants with knowledge about the key principles, methods, concepts and techniques of community-based participatory methods and the practical application of CBPM in the context of public health. Participants will learn how CBPM can be applied in the design, implementation and evaluation of public health programmes (i.e. health promotion, prevention of disease and management of chronic illness). It will also facilitate a space of reflection to examine how CBPM can be used to support the response to the Covid-19 pandemic including vaccination efforts and interventions to tackle health inequalities.   ","Assessment procedure:\nGroup work: Create a proposal/plan for a community based participatory project (this can be based on students’ own experience or to address a health problem in their own country).\nA 10-minute PowerPoint/Prezi presentation of the plan to deliver in class.\nContribution to class, forum discussions and exercises.","nie","áno"]
["SH016","Swiss School of Public Health","NCD control in a global health perspective: Public health and systems strengthening approaches","Online",3,3,"2021-08-23","2021-08-25","800 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cNCD/","At the end of the course participants will:\n\nKnow effective, efficient, equitable and sustainable approaches for NCD prevention and control, with a focus on middle- and low-income countries.\nBe aware of major cost-effective and affordable public health interventions for the prevention and control of NCDs and relate them with multisectoral interventions and health system strengthening.\nBe aware of the critical elements and successful approaches to strengthen health systems to deliver NCD services.\nIdentify the rationale, benefits and resources needed for implementing, respectively, the “public health” approach versus the “health services” approach for the prevention and control of NCDs.",null,"nie","nie"]
["SH017","Swiss School of Public Health","Harnessing systems modelling and simulation to guide strategic health investments and actions","Online",2,3,"2021-08-26","2021-08-28","800 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cSA/","By the end of the course participants will:\n\nBe familiar with the concepts, methods and applications of systems modelling and simulation in the context of population health;\nBe able to define and describe the modelling methods, including their appropriate use for answering different questions;\nUnderstand the value of systems modelling and simulation in the global health toolkit;\nBe able to build, calibrate, and run simple and intermediate level prototype models using off the shelf software and conduct scenario testing;\nUnderstand the value of participatory approaches to model development.","Assessment procedure:\nSubmission of a running prototype model – several will be developed during the course, however, only one will be required to be submitted at the discretion of the student.\nPrerequisites:\nA laptop with 4 core CPU, 8 GB RAM and Windows 10 operating system or Mac OS.\nCompetency with computers and regular use of numerically oriented software programs such as Microsoft Excel.\nFamiliarity with descriptive statistics and in particular the concept of probability distribution.\nPreparatory work before the course including recommended readings and downloading of free software. (~1-5 hours)","nie","áno"]
["SH018","Swiss School of Public Health","Policy Options on Mental Health","Online",2,3,"2021-08-26","2021-08-28","800 CHF","2021-08-02","http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cMHP/","Good mental health policy will help people, organizations, and governments deal with the novel coronavirus and meet the Sustainable Development Goals (SDGs). The mental health challenges we face are both immediately and long term, and mental health is now conceived as a public good, crucial to attain economic growth, social inclusion, and environmental protection. The prominence of social determinants of mental health and a shift from diagnosis to a dimensional approach provide unique opportunities for mental health promotion, and prevention. Now more than ever, it is imperative that mental health policies align with the SDGs, and implementation efforts embrace and promote multisectoral approaches and actively involve stakeholders.\n\n The course will address:\n\nPending and pressing issues and challenges in public mental health\nMental Health Policy and Plans, and Mental Health Services\nIdentification and use of policy options for the implementation of mental health policies\nThe impact of the COVID19 epidemic on mental health","Assessment procedure:\nAt the end of the course, participants will be asked to write a two-page policy brief on a topic of their choice.","nie","áno"]
["TC011","Tayllorcox","Prince2 foundation","Online/Praha, Česko",3,3,"2021-07-12","2021-07-14","19 600 Kč + DPH",null,"https://www.tx.cz/prince2/prince2-foundation","Kurz narozdíl od jiných metodik nevyžaduje vstupní kvalifikační předpoklady. Je zkrátka otevřen široké skupině zájemců, kteří hledají efektivní způsob, jak se naučit metodicky řídit velké i malé projekty. Fantastické je, že metodika není oborově zaměřena a jde tak o nejrozšířenější standard, napříč obory.","Inštitúcia ponúka viacero termínov kurzu.","nie","áno"]
["TC012","Tayllorcox","Prince2 practitioner","Online/Praha, Česko",2,2,"2021-07-08","2021-07-09","19 500 Kč + DPH",null,"https://www.tx.cz/prince2/prince2-practitioner","PRINCE2® Practitioner navazuje na znalosti, které jste získali v kurzu PRINCE2® Foundation a rozšiřuje je do praktické aplikace 7 Principů, Procesů metodiky. Zdokonalujte se a převezměte kontrolu nad projekty v celém životním cyklu. Jako Senior Project Manager dokážete předcházet potížím i řešit aktuální problémy. Řídit projektové týmy, upravovat metodiku na míru potřebám organizace, ale i projektu","Inštitúcia ponúka viacero termínov kurzu.","nie","áno"]
["TC013","Tayllorcox","Prince2 Agile foundation","Online/Praha, Česko",3,3,"2021-07-12","2021-07-14","21 900 Kč + DPH",null,"https://www.tx.cz/prince2/prince2-agile-foundation","Základní PRINCE2 Agile kurz. Nevyžaduje předchozí zkušenosti s metodikou PRINCE2®. Je určen širokému spektru projektových manažerů, kteří chtějí maximálně využít potenciál agilního řízení projektů. Na tento kurz navazuje PRINCE2 Agile® Practitioner","Inštitúcia ponúka viacero termínov kurzu.","nie","áno"]
["TC014","Tayllorcox","Prince2 Agile practitioner","Online/Praha, Česko",2,2,"2021-07-15","2021-07-16","24 000 Kč + DPH",null,"https://www.tx.cz/prince2/prince2-agile-practitioner","Kurz navazuje na PRINCE2 Agile® Foundation. Na reálných scénářích vypilujete pokročilé schopnosti agilního řízení projektů. Školení je z 80% praxe a 20% teorie - obsahuje to nejlepší a nejpokročilejší z agile principů a metodik SCRUM, Kanban a PRINCE2. Na vývoji se podíleli právě autoři těchto metodik.","Inštitúcia ponúka viacero termínov kurzu.","nie","áno"]
["TI315","Timberlake Consultants","Instrumental Variables and Structural Equation Modelling using Stata","Online",2,2,"2021-06-07","2021-06-08","450 GBP + DPH",null,"https://www.timberlake.co.uk/courses/instrumental-variables-structural-equation-modelling-stata-7june.html","This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity.","Prerequisites\nKnowledge of basic statistics: notion of regression model and related properties; point and interval estimation; maximum likelihood estimation.\nBasic knowledge of the Stata software.","nie","nie",2]
["TI316","Timberlake Consultants","2021 Stata Summer School","Online",5,6,"2021-06-14","2021-06-19","2 110 GPB + DPH",null,"https://www.timberlake.co.uk/courses/stata-sumer-school-2021.html","Our Stata Summer school provides a very popular and flexible course framework allowing cost-effective attendance at any course separately, or the entire school. This is a great opportunity for students, academics and professionals to expand their econometrics skills and learn how they can apply econometrics and statistics from professionals pioneering research at the forefront of their specialist fields.","Inštitúcia ponúka aj možnosť výberu kurzu/kurzov. Nie je potrebná účasť na celej Summer School.","nie","nie",2]
["TI317","Timberlake Consultants","Data Science for Financial Markets - Co-Developed with Lancaster Universit","Online",1,2,"2021-06-18","2021-06-19","450 GBP + DPH",null,"https://www.timberlake.co.uk/courses/data-science-for-financial-markets-mar-21.html","At times of great uncertainty for financial markets, this course provides participants with an understanding of the time series methods involved in modelling and forecasting financial markets volatilities. Participants will learn how to build, estimate and assess alternative models of volatility of financial time series. Each concepts will be explained from an econometric perspective and by means of many examples and applications in EViews.\n\nCo movements and correlation of financial returns help to explain crisis transmission in the markets , this course provides participants with an in depth understanding of multivariate GARCH models and their use in forecasting co movements and crisis transmission between financial markets.","Prerequisites\nIntroductory knowledge of linear regression and time series econometrics.\nA basic knowledge of EViews is helpful but not necessary.","nie","nie",2]
["TI318","Timberlake Consultants","Macroeconomic Density Forecasting & Nowcasting","Online",2,2,"2021-06-21","2021-06-22","450 GBP + DPH",null,"https://www.timberlake.co.uk/courses/macroeconomic-density-forecasting-nowcasting-jun21.html","Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques.\n\nThe focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential.","Prerequisites\nThe course assumes that attendees:\n\nHave an intermediate to advanced level University training (or equivalent) in econometrics.\nHave an intermediate level University training (or equivalent) in macroeconomics and/or finance.\nHave experience in forecasting.\nHave a working knowledge of EViews software.","nie","nie",2]
["TI319","Timberlake Consultants","Economic Modelling and Forecasting using Eviews","Online",6,8,"2021-07-12","2021-07-19","2 255 GBP + DPH",null,"https://www.timberlake.co.uk/courses/eviews-summer-school-2021.html#overview","The 2021 EViews Summer School comprises a series of seven 1-day courses running consecutively, with theory and practical applications. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 12 software. This edition features many new econometric methodologies which have been introduced in EViews 12. Specifically: long memory dependence in time series models (ARFIMA and FIGARCH and FIEGARCH), second generation panel unit roots tests, machine learning methods for model selection….\n\nThe summer school will run for 7 consecutive days, four hours per day, in two sessions per day: morning 10am-12pm and afternoon 2pm-4pm. The morning sessions will discuss theory and the afternoon sessions will offer many practical applications in EViews","Inštitúcia ponúka aj možnosť výberu kurzu/kurzov.\nPrerequisites\nKnowledge of basic econometrics (OLS estimation, mis-specification analysis) is desirable, although not required.\nNo pre-reading is needed; references for post-course reading will be provided during the course itself.\n\nNo previous knowledge of EViews is required.","nie","nie",2]
["TI320","Timberlake Consultants","Causal Inference using Stata","Online",{"$f":"NETWORKDAYS(G974,H974,sviatky)","v":1},{"$f":"_xlfn.DAYS(H974,G974)+1","v":1},"2021-08-09","2021-08-09","235 GBP + DPH",null,"https://www.timberlake.co.uk/courses/causal-inference-stata-aug21.html","This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata.\nThe course assumes limited statistical knowledge and only some experience of using statistical software. The participants will be introduced to Stata and causal inference using practical examples.\nThe fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques. Then, the participants will be introduced to the main data analysis tools related to regression, including linear and logistic regression, local polynomial regression, and related machine learning approaches.\nParticipants will apply these methods to specially chosen datasets using data from economics and medical research. Participants will learn about quasi-experimental methods (via simulation of bias and variance properties, and hands-on examples) for propensity score matching and reweighting, panel methods including difference-in-difference designs, instrumental variables, and regression discontinuity.","Prerequisites\nIt would be helpful but not necessary to already have some basic knowledge of opening a dataset in Stata, running simple commands, editing a do file in a text editor. We will assume some prior knowledge of statistics, including experience conducting a hypothesis test, but no prior training is required.","nie","nie",2]
["TI321","Timberlake Consultants","Introduction to Linear Mixed Models using Stata","Online",2,2,"2021-09-23","2021-09-24","360 GBP + DPH",null,"https://www.timberlake.co.uk/courses/introduction-linear-mixed-models-stata.html","Mixed models are a modern powerful data analysis tool to analyse clustered data, typically arising in studies where the levels of a factor are a random selection from a wider pool, or in the presence of a multi-level nested structure with different levels of variability.\nPotential benefits of mixed models are greater generalisability of results and accommodation of missing values. In particular, mixed models have been used in clinical trials to analyse repeated measures, where measurements taken over time naturally cluster according to patient.\nThe course will illustrate medical and health related applications of mixed modelling, such as multi-centre trials, cross-over trials, and the analysis of repeated measures. The course focuses on the linear mixed model, assuming normally distributed data, and on how to fit it and interpret its results.\nOnly essential theoretical aspects of mixed models will be summarised.","It is assumed that delegates are Stata users and are familiar with the practical use of linear models, covering both regression and ANOVA models.","nie","nie",2]
["TI322","Timberlake Consultants","Introduction to Generalised Linear Mixed Models using Stata","Online",2,2,"2021-09-27","2021-09-28","450 GBP + DPH",null,"https://www.timberlake.co.uk/courses/generalised-mixed-models-using-stata-sep27.html","Mixed models have become increasingly popular, as they have many practical applications. However, the traditional linear mixed model with normally distributed errors may not always be appropriate for modelling discrete response variables, such as binary data and counts. Typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression.\nCommonly-used generalised linear models will be extended to deal with multiple error structures, using a variety of examples, generally drawn from medical and health related fields. Specific applications, such as repeated measurements and multi-centre trials will also be considered. For example, investigating the presence or absence of adverse events collected in a multi-centre clinical trial.\nThe emphasis will be on practical understanding, although an outline of the theory will be presented. Practical examples will be used to illustrate the methods, and participants will have the opportunity to fit and interpret models themselves in hands-on computer based practicals.\nNote this course does not cover marginal or GEE type models, but will consider population-averaged effect measures derived from a generalised linear mixed model.","It is assumed that delegates:\nAre Stata users;\nAre familiar with the practical use of both linear mixed models and generalised linear models;\nHave experience of fitting these models in Stata and interpreting the results.","nie","nie",2]
["TS021","Tstat","NON-LINEAR PANEL DATA MODELS IN STATA","Online",2,2,"2021-07-12","2021-07-13","675 EUR + DPH","2021-07-02","https://www.tstattraining.eu/training/nonlinear-panel-data-models-stata-ol/","This course follows on from our Linear Panel Data Models in Stata course to offer the necessary theoretical background and the applied skills to enable participants to: i) independently employ non-linear micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. The focus is therefore on non-linear estimation techniques (more specifically Poisson, Probit, Logit and Tobit panel data models) and issues of sample selection and attrition.","Participants are required to have a good working knowledge of the OLS regression model, the topics featured in our Linear Panel Data Model in Stata course and the statistical software Stata. Knowledge at the arguments illustrated in TStat’s course Analysis Micro Data in Stata will also prove to be a advantage.","nie","nie"]
["TS022","Tstat","FACTOR MODELS & RISK MANAGEMENT TOOLS","Online",2,2,"2021-06-14","2021-06-15","675 EUR + DPH","2021-06-04","https://www.tstattraining.eu/training/factor-models-risk-management-tools-ol/","The growth in financial instruments during the last decade has resulted in a significant development of econometric methods (financial econometrics) applied to financial data. The objective of our Factor Models & Risk Management Tools course is to provide participants with a comprehensive overview of the principal methodologies, both theoretical and applied, adopted for risk analysis and risk management. To this end, the course focuses on the implementation of both factor models and principal components analysis for the identification of specific asset, country and global risk factors and on risk management tools/measures.","Participants should have a knowledge of the inferential statistics and introductory econometric methods illustrated in Brooks (2019).","nie","nie"]
["TS023","Tstat","SUMMER SCHOOL | MODELLING AND FORECASTING ENERGY MARKETS","Online/Florencia, Taliansko",5,5,"2021-08-30","2021-09-03","3 250 EUR + DPH","2021-08-10","https://www.tstattraining.eu/training/modelling-energy-markets/","In the last two decades, energy markets operators have witnessed major structural changes that have had a profund impact on how prices are determined on the market. Events like market liberalization, adoption of energy efficiency regulation, increased production from renewable energy sources, and climate change have contributed in making the demand and supply less predictable and the prices more volatile. The accurate modelling and forecasting of energy demand and prices has become of utmost importance, not only to energy producers themselves, but also to commodity traders and financial analysts focusing on the energy sector. The statistical features of energy data, which tends to follow periodic patterns and exhibit spikes, non-constant means and non-constant variances, renders the task of forecasting and modelling of energy data somewhat challenging.\n\nThe objective of TStat’s “Modelling and Forecasting Energy Markets” Summer School is therefore to provide participants with the specific analytical tools to undertake a rigorous and in-depth analysis of both demand and prices in international energy markets","It is required knowledge of intermediate statistics and econometrics, for example at the level of Wooldridge, J.M. (2019) and/or Brooks, C. (2019).\nIn particular, participants must be familiar with linear regression analysis, inference, regression misspecification issues and time series concepts of autocorrelation, stationarity and volatility.\nDuring the Summer School, participants will be introduced to the econometric/statistical software Stata. Attendees do not however, require any previous knowledge of the software.","áno","nie"]
["BA215","Barcelona Graduate School of Economics","Empirical Tools/Applications in Banking and Macro-Finance","Online",5,5,"2021-07-05","2021-07-09","1100 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/banking","The objective of this course is to present empirical applications of relevant questions for both banking theory and policy, mainly related to Systemic Risk, Crises, Macroprudential and Monetary Policy. An important objective is to read and understand scientific papers in empirical banking; to accomplish this objective, emphasis is placed on illustrating research methodologies used in empirical banking and learning the application of these methodologies to selected topics.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA216","Barcelona Graduate School of Economics","Foundations of Data Science ","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","2200 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/data-science","This is an intensive 20-hour course based on a hands-on approach using Jupyter notebooks, all material is motivated by specific information retrieval and data analysis questions and each thematic unit concludes with a small project. The course provides basic training in data analysis and machine learning with Python and R..","Predpoklad: základy Python/R + štúdium - videá (25-30hod); early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA217","Barcelona Graduate School of Economics","Foundations of Data Science ","Online",5,5,"2021-06-21","2021-06-25","2000 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/data-science","This is an intensive 20-hour course based on a hands-on approach using Jupyter notebooks, all material is motivated by specific information retrieval and data analysis questions and each thematic unit concludes with a small project. The course provides basic training in data analysis and machine learning with Python and R..","Predpoklad: základy Python/R + štúdium - videá (25-30hod);early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA218","Barcelona Graduate School of Economics","Deep Learning and Applications","Barcelona, Španielsko",5,5,"2021-07-12","2021-07-16","2000 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/data-science","In this course we will introduce several aspects of modern machine learning, deep learning and it’s applications:\nAn overall introduction to Deep Learning covering the fundamental architectures such as convolutional and recurrent natural networks, auto-encoders, as well as the basic optimization algorithms for training deep models.\nThree individual, largely practical, sessions which cover different paradigms or application domains:\n2.1. Computer Vision, with focus on advanced convolutional network architectures and generative models for tasks such as image classification, object detection or image captioning.\n2.2. Natural Language Processing, with focus on several aspects of language modeling, word and document embeddings, conversational models and visualization.\n2.3. Deep Reinforcement Learning, with focus on how deep learning can be used in sequential decision making problems such as board/video-games.","Predpoklad: základy Python/R + štúdium - videá (25-30hod);early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA219","Barcelona Graduate School of Economics","Using Text as Data: Methods and Applications","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","2200 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/data-science","This course provides an accelerated introduction to the theory and practice of text analysis by surveying methods for systematically extracting quantitative information from text, from classical content analysis and dictionary-based methods, to classification methods, scaling methods, and topic models.\n\nThe course introduces the theoretical foundations for text analysis but mainly takes a practical approach, illustrating the methods through state-of-the-art applications to research questions in economics, political science, and finance. Lectures will cover a series of case-studies from economics and related fields, and will be complemented by hands-on programming sessions in Python.","Predpoklad: základy Python/R + štúdium - videá (25-30hod);early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA220","Barcelona Graduate School of Economics","Complex Network Analysis: Tools for Economic Development","Online",5,5,"2021-07-05","2021-07-09","1000 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/development-economics","Network Analysis teaches you how to make sense of a complex world teeming with big systems of interconnected agents. You will learn how to model and predict social behavior at a large scale, without compromising the detailed interaction structures that are increasingly observed in growing datasets. Understanding these complex systems is crucial to construct effective policies that promote economic development in poor and developing regions.The course combines theoretical/mathematical modelling and manipulation/analysis of social network data, focusing primarily on R as the preferred programming environment. Students will learn innovative concepts, models and algorithms that can be widely applied to different contexts and that provide a comprehensive toolbox to sustain and enrich applied empirical work.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA221","Barcelona Graduate School of Economics","Randomized Control Trial (RCTs) in Development Economics: Design and Data Analysis","Online",5,5,"2021-06-28","2021-07-02","1000 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/development-economics","We organize the course around randomized design methods, a widely used identification strategy in development research. The main purpose of this course is to provide a deep dive into the design and then data analysis from RCTs. We cover development topics as examples of such strategy (e.g. microfinance, secondary schooling, and women's labor force participation) and discuss other methods as we compare RCT results to quasi-experimental results within topical case studies. This course provides students with tangible skills that they can take away.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA222","Barcelona Graduate School of Economics","Economics of Artificial Intelligence","Online",5,5,"2021-07-05","2021-07-09","900 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/digital-economy","Artificial Intelligence (AI) is indicated as the factor that will likely originate a new industrial revolution. It will certainly affect many sectors of our economies, probably sooner than expected, and with important trade-offs. This short course aims addressing some of the forces and consequences that AI is and will bring, in particular, to industrial organization and market interactions.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA223","Barcelona Graduate School of Economics","Economics of Education","Online",5,5,"2021-06-28","2021-07-02","900 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/labor-economics","Five lectures explore both the demand for education and the supply of education. Most of the course deals with policy debates concerning the best ways to use public funds to supply K-12 education services. The course draws heavily on my 2018 book, Information, Incentives, and Education Policy.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA224","Barcelona Graduate School of Economics","Economics of Migration","Online",5,5,"2021-06-28","2021-07-02","900 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/labor-economics","In the world, more than 220 million individuals live in a country different from that of birth. In developed countries, foreign born individuals represent 10.5% of the population. This important factor reallocation is the result of decades of increasing globalization of labor markets. Why people migrate, who migrates where, and what are the economic impacts for the receiving economy, are important questions that have motivated a huge body of research in Economics. We will start focusing on migration decisions. Understanding the motivations to migrate is important to analyze who migrates to each location.We will devote important emphasis on migration costs, available information, and the effect of internal migration in shaping local labor markets. The second part of the course will focus on labor market impacts of immigration.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA225","Barcelona Graduate School of Economics","Labor Market Outcomes","Online",5,5,"2021-06-28","2021-07-02","900 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/labor-economics","This course explores the determination of labor market outcomes, with a particular focus on the determination of the unemployment rate and the flow of workers between employment and unemployment.  Throughout the course we will use economic theory to motivate a careful analysis of relevant data sources.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA226","Barcelona Graduate School of Economics","Bayesian Time Series Methods I: Introductory ","Online",5,5,"2021-06-28","2021-07-02","1100 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","This is a course in introductory Bayesian econometrics with a focus on models used in empirical macroeconomics. It begins with a brief introduction to Bayesian econometrics, describing the main concepts underlying Bayesian theory and seeing how Bayesian methods work in the familiar context of the regression model. Computational methods are of great importance in modern Bayesian econometrics and these are discussed in detail.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA227","Barcelona Graduate School of Economics","Bayesian Time Series Methods II: Advanced","Online",5,5,"2021-07-05","2021-07-09","1100 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","Introduced to econometrics by Nobel laureate Chris Sims and his students, Bayesian VAR methods have recently become the workhorse models for forecasting macroeconomic variables and are routinely used by central banks to inform policy decisions. This course aims at introducing state of the art methods for structural analysis and forecasting with Bayesian Vector Autoregressions. The course has a hands-on philosophy and Matlab code will be provided for each of the topics covered.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA228","Barcelona Graduate School of Economics","Time Series Models for Macroeconomic Analysis I","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","1300 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The objective of the course is to teach student how to use state of the art Bayesian methods to estimate and analyze modern macroeconomic models. The course will cover the most popular methods to construct posterior estimates of structural model parameters and probability intervals for arbitrary model outputs (such as impulse response functions and variance decompositions). Special attention will be given to recent advances in empirically analyzing the role of news, noise and imperfect information in business cycle models. The course aim to give students a good understanding of both advantages and limitations of the current generation of DSGE models.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA229","Barcelona Graduate School of Economics","Time Series Models for Macroeconomic Analysis II","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","1300 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","This course deals with factor models for large cross-sections of time-series (large N environment). We build the argument in steps, starting from the simplest multivariate technique, principal components. We review several applications, among others, factor augmented VAR models (FAVAR), the construction of business cycle indicators, how to handle the jagged nature of macroeconomic data releases in nowcasting and forecasting exercises, the analysis of monetary policy in real time, the identification of the monetary transmission mechanism, the identification of news shocks to technology.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA230","Barcelona Graduate School of Economics","Bayesian Time Series Methods III: DSGE Models Estimation","Online",5,5,"2021-07-12","2021-07-16","1100 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The course provides an introduction to the state-of-the-art econometric and statistical techniques used for the analysis of large panels of economic and ﬁnancial time series. The course begins by reviewing the properties of the classic linear regression model in a large dimensional environment. The second topic of the course is covariance matrix estimation in large dimensions. The third and final topic of the course is the estimation of large dimesional network models. Requirement: basic knowledge of matrix algebra, econometrics and time series econometrics.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA231","Barcelona Graduate School of Economics","High-Dimensional Time Series Models I: Factor Models ","Barcelona, Španielsko",5,5,"2021-07-12","2021-07-16","1300 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular we will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. We also present several extensions like and FAVARs and Time-Varying Coefficients VAR. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA232","Barcelona Graduate School of Economics","High-Dimensional Time Series Models II: Big Data and Machine Learning ","Barcelona, Španielsko",5,5,"2021-07-12","2021-07-16","1300 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/macroeconometrics","After covering the most popular linear time series models designed to analyze the propagation mechanisms of policy measures and the dynamic effects of economic shocks, we open, in the second part of the course, to the possibility of non-linearities. This is a necessary complement to the lessons learnt on the first part of the course, because building on the previous knowledge, we allow for the fact that the same measures or the same shocks might have different, non-proportional, impact on the main macroeconomic variables, depending on the size, moment and sign of the measures and shocks, Understanding these features imply the need to properly infer the state of the economy in real time, in order to provide timely valuable information to rapidly design and implement the necessary policy responses. This is especially important in the deep COVID-19 recession that we are currently experiencing.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA233","Barcelona Graduate School of Economics","Econometrics of Cross-section Data with Applications ","Online",5,5,"2021-06-28","2021-07-02","1000 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/microeconometrics","The use of survey data is becoming a common practice among economists and social scientists both at academic and professional level. The main characteristic of this data is that it contains qualitative information, making the use of the regression model not suitable when we deal with models where the dependent variable is either a choice (having or not a private health insurance) or a status (being or not unemployed), or where the dependent variable only takes non negative values and a significant percentage of the observations are zeroes (expenditure on some particular goods like tobacco).On the other hand, the use of information with a panel data structure is also becoming frequent because it allows to deal with some limitations of the estimation of models with cross-section data.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA234","Barcelona Graduate School of Economics","The Impacts of Policies on Health Outcomes ","Online",5,5,"2021-06-28","2021-07-02","1000 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course provides an applied view of policy evaluation methods specifically targeted to a health economics audience. We will focus on the main methods traditionally used to analyze the impact of several policy interventions on health outcomes such as mortality, self-assessed health, incidence of diseases, infant health outcomes, etc…The focus of the course is on the practical application of these models so that we will revise and replicate some of the papers in the literature using these methods. The audience for the course is government officials or individuals in similar positions in charge of evaluating the effects of policy interventions and PhD students from public health, sociology, political science, epidemiology, government studies or related disciplines. Although the course is not designed for PhD students in economics, some background in economics is recommended.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)",null,"nie",1.99]
["BA235","Barcelona Graduate School of Economics","Dynamic and Non-linear Panel Data Models","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","1200 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course provides up-to-date coverage of dynamic panel data models, discrete choice panel data models as well as censored panel data models and the estimation of dynamic panel data models subject to selection. Apart from a review of relevant theory, the focus of the course is on the practical application of these models to various data contexts: small T – large N, unbalanced panels, rotating panels and pseudo panels constructed from cohort data. Some background in Econometrics is strongly recommended.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA236","Barcelona Graduate School of Economics","Dynamic Structural Models for Policy Evaluation ","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","1200 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/microeconometrics","This course deals with methods and applications of dynamic discrete choice structural models in Economics. The methods that we will discuss are often used by researchers with interests in Labor Economics, Industrial Organization, Quantitative Macro, Development Economics and many other fields in Applied Micro. The course focuses on the estimation of dynamic discrete choice structural models that allow for modelling the behavior of forward looking agents making discrete decisions. These models constitute a useful tool for policy evaluation and an interesting complement to reduced form approaches. In particular, they have the advantage of allowing for ex-ante policy evaluation, and of providing external validity for the inference, subject to the model assumptions. They also have the benefit of providing a close link between economic theory and empirics, and the possibility of making inference about the predictions of a model.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA237","Barcelona Graduate School of Economics","Quantitative Methods for Public Policy Evaluation ","Barcelona, Španielsko",5,5,"2021-07-05","2021-07-09","1200 EUR","2021-06-15","https://www.barcelonagse.eu/study/summer-school/microeconometrics","The main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main approaches used in the evaluation of public policies: randomized evaluations, natural experiments, the regression discontinuity design, selection on observables, difference-in-differences / fixed-effects and synthetic control. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the morning sessions, each approach will be presented and illustrated with specific policies in the areas of labor, health, and education. In the afternoon sessions, we replicate the results of a widely-cited published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare.","early Bird: 14.5. (10-25% zľava)/ Skupinová zľava (5účastníkov -10%)","nie","nie",1.99]
["BA238","Barcelona Graduate School of Economics","Quantitative Methods for Competition Analysis","Online",5,5,"2021-05-24","2021-05-28","1080 -1200 EUR","2021-05-17","https://www.barcelonagse.eu/study/professional-courses/quantitative-competition-analysis","The Barcelona GSE Intensive Course on Quantitative Methods for Competition Analysis provides participants (economists, lawyers and practitioners working for firms or in agencies) with a thorough understanding of recent empirical methods to measure market power and competition, with applications to market definition, merger analysis and damages from anticompetitive conduct.","Early Bird: 17.4. - 1080 €",null,"nie",1.99]
["AC267","ACREA CR","Analýza a predikce časových řad","Online",3,3,"2021-05-24","2021-05-26","540 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-a-predikce-casovych-rad/","Vyučovány jsou základní přístupy k časovým řadám i pokročilé metody (exponenciální vyrovnávání, ARIMA a ARIMA s vysvětlujícími proměnnými). U každé metody jsou probrány teoretické základy, ale zároveň je kladen silný důraz na její použití v situacích, se kterými se účastník setkává ve své praxi.",null,null,"nie",1.9]
["AC268","ACREA CR","Analýza délky života","Online",1,1,"2021-05-11","2021-05-11","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-delky-zivota/","Cílem kurzu je seznámit účastníky se základními metodami analýzy délky života (tabulky délky života, Kaplan – Meierovy modely a Coxova regrese), které umožňují odpovědět na otázky:Jaká je střední doba života (od počátku sledování objektu do vzniku události)?Jaký je průběh „úmrtnosti“ v závislosti na čase? Zda a jakým způsobem ovlivňují dobu života různé faktory? Výuka klade důraz především na praktické aplikace úloh a na interpretaci výsledků.",null,null,"nie",1.9]
["AC269","ACREA CR","Analýza rozptylu: Přístupy k odhalování příčin a vlivů","Online",{"$f":"NETWORKDAYS(G1006,H1006,sviatky)","v":2},{"$f":"_xlfn.DAYS(H1006,G1006)+1","v":2},"2021-05-31","2021-06-01","430 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/","Analýza rozptylu (analýza variance, ANOVA) je jednou ze základních statistických metod, která nachází uplatnění ve všech oblastech aplikované statistiky a analýzy dat. Umožňuje odhalit faktory, které ovlivňují chování dané číselné veličiny a posoudit míru jejich vlivu, provést detailní porovnání skupin nebo očistit zkoumaný vztah od vlivu jiné proměnné.",null,null,"nie",1.9]
["AC270","ACREA CR","Bayesovské strukturní modelování","Online",1,1,"2021-05-10","2021-05-10","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/bayesovske-strukturni-modelovani/","Cílem kurzu je seznámit účastníky s postupy z oblasti bayesovského strukturního modelování. Výuka klade důraz jak na vysvětlení principů, tak i na praktickou aplikaci úloh v IBM SPSS Amos.",null,null,"nie",1.9]
["AC328","ACREA CR","Korelační analýza","Online",1,1,"2021-04-26","2021-04-26","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","Korelace patří k nejzákladnějším pojmům statistické analýzy dat. Má své přímé aplikace a současně je nutnou podmínkou pro další analytické postupy (regresní a faktorová analýza, hierarchické modely, teorie měření a další). Její předností je jednoduchá aplikace, přehlednost a názornost korelačních měr a intuitivní význam výsledků. Naproti tomu ale mohou jednotlivé míry zkreslit informaci vyjadřovanou daty, nejsou-li uplatňovány korektně podle jejich významu a vlastností","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + DPH za 3 kurzy Korelační analýza + Regresní analýza I + Regresní analýza II ",null,"nie",1.9]
["AC271","ACREA CR","Logistická regrese","Online",1,1,"2021-04-20","2021-04-20","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","Logistická regrese je predikčním modelem pro kategorizované veličiny. Nezávislé proměnné mohou být jak číselné, tak i kategorizované. Na základě nalezeného modelu lze provádět predikce pro neznámé případy včetně odhadu pravděpodobnosti výskytu jednotlivých cílových kategorií. Metoda se užívá v bankovnictví, medicíně, marketingu, ekonomii a v technických nebo přírodních vědách.",null,null,"nie",1.9]
["AC272","ACREA CR","Regresní analýza I","Online",1,1,"2021-04-27","2021-04-27","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","Regresní analýza je metoda statistické analýzy vztahů. Slouží k popisu, vysvětlení a k predikci. Kurz zahrnuje modely jednorozměrné a vícerozměrné lineární regresní analýzy pro číselné proměnné. Důraz je kladen na význam a konstrukci základního modelu, testy hypotéz o jeho parametrech a na výběr vhodných prediktorů pomocí automatických postupů.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + DPH za 3 kurzy Korelační analýza + Regresní analýza I + Regresní analýza II ",null,"nie",1.9]
["AC273","ACREA CR","Regresní analýza II","Online",1,1,"2021-04-28","2021-04-28","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","Samostatný jednodenní kurz navazuje na látku kurzu Regresní analýza I. Pojednává o ověřování správnosti a vhodnosti lineárního regresního modelu. Rozšiřuje modelové možnosti pro zpřesnění popisu vztahů a nabízí aparát diagnosticko-predikčního charakteru. Pojednává o kategorizovaných prediktorech a analýze jejich vlivu na závislou proměnnou, o nelineárních a interakčních členech v rovnici. Postupy hodnocení modelu pomocí reziduí a charakteristik vlivu jednotlivých pozorování. Predikční role regresních rovnic a ocenění jejich predikční síly tak, aby výsledné rovnice maximálně odpovídaly datové realitě.","CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA 13 440 Kč / 480 € + DPH za 3 kurzy Korelační analýza + Regresní analýza I + Regresní analýza II ",null,"nie",1.9]
["AC274","ACREA CR","Reportování a vizualizace statistických dat","Online",2,2,"2021-06-14","2021-06-15","388 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/reportovani-a-vizualizace-statistickych-dat/","Cílem kurzu je seznámit účastníky se základními principy statistického reportování se zaměřením na tabulkovou a grafickou analýzu. Projdeme si nejčastěji užívané typy tabulek a grafů a naučíme se rozeznat, ve kterých případech je použít. Ukážeme si různé způsoby, jak vizuálně usnadnit čtení informace. Shrneme základní pravidla a doporučení pro vytváření statických tabulek, grafů i zpráv. Vše si ukážeme na praktických příkladech v IBM SPSS Statistics.",null,null,"nie",1.9]
["AC275","ACREA CR","DATA MINING - dolování znalostí z databází","Online",3,3,"2021-06-07","2021-06-09","670 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/data-mining/data-mining-dolovani-znalosti-z-databazi/","Cílem kurzu je představit účastníkům základní úlohy a postupy data miningu a naučit je navrhovat predikční postupy. Účastníci se seznámí s dílčími procedurami používanými v jednotlivých fázích projektu a naučí se tyto procedury spojovat do smysluplného řešení. Výuka je koncipována obecně a jejím cílem není naučit konkrétní software, nicméně vzhledem ke složitosti algoritmů je kurz vyučován za pomoci softwaru IBM SPSS Modeler (PS CLEMENTINE).",null,null,"nie",1.9]
["AC276","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT I \n- dvourozměrné kontingenční tabulky četností","Online/Praha, Česko",1,1,"2021-10-18","2021-10-18","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi.","590 € + DPH za 3 kurzy",null,"nie",1.9]
["AC277","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT II\n- vícerozměrné kontingenční tabulky četností","Online/Praha, Česko",1,1,"2021-10-19","2021-10-19","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-ii/","Komplexní analýzy několika proměnných představují snahu odhalit vícerozměrnou latentní datovou strukturu a nalézt interpretaci této struktury. Hledáme informaci, která je skryta v souboru dat za tříděním více než dvou kategorizovaných proměnných pomocí klasických Pearsonových testů hypotéz pro třídění vyšších stupňů, pomocí obdoby faktorové analýzy pro nominální proměnné (vícenásobná korespondenční analýza), a pomocí postupného vyhledávání interakcí (asociační stromy). Grafická i číselná analýza jsou podkladem pro interpretaci výsledků.","590 € + DPH za 3 kurzy",null,"nie",1.9]
["AC278","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT III\n- logaritmicko - lineární modely","Online/Praha, Česko",1,1,"2021-10-20","2021-10-20","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/","Logaritmicko-lineární modely v kontingenčních tabulkách tvoří systém metod, kterými lze flexibilně formulovat a ověřovat různé hypotézy v tabulkách četností. Modelují se vzájemné souvislosti mezi kategoriemi i vztahy k jedné závislé proměnné. Přístup poskytuje také řešení pro nestandardní situace analýzy dat ve speciálních případech.","590 € + DPH za 3 kurzy",null,"nie",1.9]
["AE012","AdeptEvents","DESIGNING, OPERATING AND MANAGING AN ENTERPRISE DATA LAKE","Online/Utrecht, Holandsko",2,2,"2021-12-07","2021-12-08","1450 EUR",null,"https://adeptevents.nl/event/building-an-enterprise-data-lake-for-enterprise-data-as-a-service?lang=en#general","This 2-day seminar looks at the challenges faced by companies trying to deal with an exploding number of data sources, collecting data in multiple data stores (cloud and on-premises), multiple analytical systems and at the requirements to be able to define, govern, manage and share trusted high quality information in a distributed and hybrid computing environment.  It also explores a new approach of how IT data architects, business users and IT developers can collaborate together in building and managing a logical data lake to get control of your data. This includes data ingestion, automated data discovery, data profiling and tagging and publishing data in an information catalog. It also involves refining raw data to produce enterprise data services that can be published in a catalog available for consumption across your company.  We also introduce multiple data lake configurations including a centralised data lake and a ‘logical’ distributed data lake as well as execution of jobs and governance across multiple data stores. It emphasises the need for a common collaborative process and common approach to governing and managing data of all types.","skupinová zľava (10-15%) Early bird: 1035 (online)/1305 (7.11.2021)",null,"nie",1.07]
["BU151","Budapest School for Central Bank Studies ","Digital currencies on the rise","TBA",5,5,"2021-07-26","2021-07-30","TBA","2021-07-05","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","Topics: Private  (cryptocurrencies)  and  public  moneys; Monetary  policy  with  cryptocurrencies; Would  the  Libra destabilize  the  world  economy?; Banking stability and  cryptocurrencies; International  aspects  of digital  currencies.",null,null,"nie"]
["BU152","Budapest School for Central Bank Studies ","New Techniques in Macroeconometrics with Applications to Policy and Forecasting","TBA",5,5,"2021-08-02","2021-08-06","TBA","2021-07-05","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","Topics: Bayesian Econometrics: model  selection,  BVARs,DSGE_BVARs, Large  Bvars; Simulation  methods: Metropolis-Hastings, Gibbs, Sequential Monte Carlo. Application to  online  estimation of  DSGEs; Linear and  nonlinear  state  space  models: estimation and simulation smoothers. Applications to Global trends in  interest  rates, Hanks  models, forecasting and  historical decomposition  in  DSGE  models; Combining  models  for  forecasting  and  policy  analysis: optimal  pools  and  dynamics  pools.\n",null,null,"nie"]
["CM008","Cemmap","Panel data methods","Online",3,3,"2021-05-12","2021-05-14","264 GBP",null,"https://www.cemmap.ac.uk/event/online-panel-data-methods/","This course in panel data econometrics, presented mainly from a microeconometrics perspective, will cover linear and nonlinear panel data models with unobserved heterogeneity, including discussions of the strengths and weaknesses of the various estimation methods. Basic estimation methods include random effects, correlated random effects, fixed effects, and first differencing. We will also cover how one does inference for large-T panels with cross-sectional correlation. The final topic is nonlinear panel data models for binary, fractional, and nonnegative responses. Participants should have good working knowledge of ordinary least squares and two stage least squares in a cross-sectional environment, at the level of the “Introductory Microeconometrics” training course.",null,null,"nie"]
["CM009","Cemmap","Panel data methods","Online",3,3,"2021-05-17","2021-05-19","264 GBP",null,"https://www.cemmap.ac.uk/event/online-panel-data-methods-2/","This course in panel data econometrics, presented mainly from a microeconometrics perspective, will cover linear and nonlinear panel data models with unobserved heterogeneity, including discussions of the strengths and weaknesses of the various estimation methods. Basic estimation methods include random effects, correlated random effects, fixed effects, and first differencing. We will also cover how one does inference for large-T panels with cross-sectional correlation. The final topic is nonlinear panel data models for binary, fractional, and nonnegative responses. Participants should have good working knowledge of ordinary least squares and two stage least squares in a cross-sectional environment, at the level of the “Introductory Microeconometrics” training course.",null,null,"nie"]
["CE179","Center of Excellence in Finance","Performance-based Auditing","Online",10,12,"2021-05-24","2021-06-04","0 EUR","2021-05-14","https://www.cef-see.org/21-aud05performaud","The course will provide a detailed overview of the framework for performance auditing as this allows public sector auditors to provide assurance that the audited organizations are accomplishing their proclaimed objectives and following the value-for-money principles in service delivery. After the initial review of the concepts and steps in a standard performance audit process, the participants will work on group assignments related to the practical application of the risk and control matrix using the value-for-money approach. This will entail learning and applying different performance audit tools and exploring audit strategies to examine whether the organization’s objectives are successful in mitigating the risks to the economy, efficiency, and effectiveness of operations. ",null,null,"nie"]
["CE180","Center of Excellence in Finance","Financial Stability and Stress Testing","Online/Ľubľana, Slovinsko",9,11,"2021-11-02","2021-11-12","0 EUR","2021-10-02","https://www.cef-see.org/21-cb-07","This blended learning event will give an overview of systemic risks to the economy and how to identify vulnerabilities, in particular in the banking sector. We will discuss top-down stress testing, following the latest guidelines, and present methodologies through practical examples. We will also look into financial stability indicators. Participants will be working on specific cases of conducting stress tests, with a focus on how to interpret the results.","16-18.11. nasleduje workshop",null,"nie"]
["CU013","Cranfield University","GIS Fundamentals ","Online",5,5,"2021-05-24","2021-05-28","1400£",null,"https://www.cranfield.ac.uk/courses/short/online/gis-fundamentals-online-course","Geographic Information Systems (GIS) is an important technology for handling geographic data and has wide application for studies of the environment. This course provides the essentials for using a GIS to create map outputs and perform typical spatial analysis operations.",null,null,"nie"]
["EM038","EcoMod Network","EcoMod School of Economics and Data Science Prague 2021","Praha, Česko",5,5,"2021-06-21","2021-06-25","3767 USD","2021-04-26","https://ecomod.net/modeling-school/ecomod-school-of-economics-and-data-science-prague-2021","The EcoMod School will offer many five-day intensive hands-on courses in Prague, Czech Republic. The training is fully practical and provides 'hands-on' experience through intensive use of exercises on the computer.","Early bird do 10.5.: 3267 USD\nZoznam a rozpis kurzov bude inštitúciou ešte len zverejnený","nie","nie"]
["EC273","European Consortium for Political Research (ECPR)","Summer School","Online",15,19,"2021-08-02","2021-08-20","875-2625£ GBP",null,"https://ecpr.eu/SummerSchool","Čaká sa na doplnenie ponuky kurzov\nOffering a comprehensive virtual programme of courses on variance-based, case-based and interpretive methods and techniques, our Virtual Methods School allows you to select and combine courses to meet the demands of your project. The result? A rounded training experience giving you the tools you need need to tackle your research with confidence.","1 týždeň = 1 kurz (875), 2 kurzy (1750), 3 kurzy (2625). Info o kurzoch: doplnia čoskoro",null,"nie",1.8]
["EU303","European Institute of Public Administration (EIPA)","Financial Management of EU Structural and Cohesion Funds: moving from 2014-2020 to 2021-2027","Online",3,3,"2021-04-20","2021-04-22","700 EUR","2021-04-13","https://www.eipa.eu/product/financial-management-eu-structural-cohesion-funds/","What are the key live issues for Programme finance and Financial Management of Operational Programmes in the 2014-2020 period? What are the key Audit and Public Procurement issues? Are these accentuated as current programmes try to absorb the emergency REACT-EU funding? How do the New Regulations change Financial Management and Audit rules for 2021-2027?This seminar will address these questions and take a close look at the programme and financial templates for the new EU Structural and Cohesion Funds programmes. There will be a special focus on extending the use of simplified cost options, the most frequent audit issues (eg. eligibility of expenditure, public procurement) and on the role of strategic procurement.",null,null,"nie",2]
["EU304","European Institute of Public Administration (EIPA)","\nFinancial Management and Control of EU Structural and Cohesion Funds: moving from 2014-2020 to 2021-2027","Online",3,3,"2021-11-23","2021-11-25","700 EUR","2021-11-16","https://www.eipa.eu/product/financial-management-and-control-eu-structural-and-cohesion-funds/","čoskoro doplnia",null,null,"nie",2]
["EU305","European Institute of Public Administration (EIPA)","Evaluation and Monitoring of EU Structural and Cohesion Funds Programmes, 2014-2020 and 2021-2027","Online",6,8,"2021-05-05","2021-05-12","1100 EUR","2021-04-30","https://www.eipa.eu/product/eu-structural-cohesion-funds/","Member States continue to conduct evaluations of their 2014-2020 EU Structural and Cohesion Funds projects and programmes. Have they collected the best monitoring data and do they know how to measure impacts? Which evaluation method should be used – theory-based or counter-factual? As new programmes for 2021-2027 are now being agreed and implemented, are we clear about what the New Regulations say about monitoring and evaluation requirements?",null,null,"nie",2]
["EU306","European Institute of Public Administration (EIPA)","Financial Management and Audit of Structural and Cohesion Funds: lessons from 2014-2020 and key issues for 2021-2027","Online",3,3,"2021-09-21","2021-09-23","700 EUR","2021-09-14","https://www.eipa.eu/product/financial-management-audit-eu-structural-cohesion-funds/","čoskoro doplnia",null,null,"nie",2]
["EU307","European Institute of Public Administration (EIPA)","Simplification in Structural and Cohesion Funds 2014-2020 and 2021-2027 – From Basic to Advanced Simplified Cost Options (SCO)","Online",3,3,"2021-10-20","2021-10-22","700 EUR","2021-10-13","https://www.eipa.eu/product/simplification-structural-funds-sco/","čoskoro doplnia",null,null,"nie",2]
["EU308","European Institute of Public Administration (EIPA)","Implementing the new EU Structural and Cohesion Funds Programmes alongside the Recovery and Resilience Facility (RRF)","Online",3,3,"2021-12-07","2021-12-09","700 EUR","2021-12-01","https://www.eipa.eu/product/eu-structural-cohesion-funds-programmes/","čoskoro doplnia",null,null,"nie",2]
["EU309","European Institute of Public Administration (EIPA)","Cohesion Policy Project Appraisal 2021-2027, CBA, the Connecting Europe Facility (Basic + Advanced)","Online",6,8,"2021-11-02","2021-11-09","1100 EUR","2021-10-26","https://www.eipa.eu/product/cost-benefit-analysis-eu-financed-projects/","This (2-stage) online course will focus on the new Project Appraisal requirements for EU co-financed investment projects and the new Economic Appraisal Vademecum of DG REGIO. It will clarify the link with the Cost-Benefit Analysis (CBA) Guide and the CBA requirements of the Connecting Europe Facility.",null,null,"nie",2]
["EU310","European Institute of Public Administration (EIPA)","Cohesion Policy Project Appraisal 2021-2027, CBA, the Connecting Europe Facility (Advanced)","Online",4,6,"2021-11-04","2021-11-09","700 EUR","2021-10-28","https://www.eipa.eu/product/cohesion-policy-project-appraisal-advanced/","This online course will focus on the new Project Appraisal requirements for EU co-financed investment projects and the new Economic Appraisal Vademecum of DG REGIO. It will clarify the link with the Cost-Benefit Analysis (CBA) Guide and the CBA requirements of the Connecting Europe Facility.",null,null,"nie",2]
["EO003","European Observatory on Health Systems and Policies","INNOVATION: Making it happen (Summer school)","Online/Benátky, Taliansko",5,7,"2021-07-25","2021-07-31","TBA","TBA","https://theobservatorysummerschool.org/","TBA - čaká sa na bližšiu špecifikáciu",null,null,"nie",1.8]
["ED009","European Security and Defence College ","Basic Course on Security Sector Reform","Madrid, Španielsko",3,3,"2021-06-01","2021-06-03","0 EUR","2021-04-22","https://esdc.europa.eu/enlistapi/Invitation%20letter%20_%20Administrative%20Instructions%20&%20Draft%20Programme.pdf","The common Security and Defence Policy (CSDP) enables the Union to take a leading role in peacekeeping operations, conflict prevention and in the strengthening of the international security, CSOP iS an integral part Of the El] is integrated approach towards Crisis management, drawing on and military assets. The EU Security sector Reform (SSR) is an essential multidimensional element of  conflict prevention, crisis management, stabilization and reconstruction efforts, since it fosters the   development of the \"Rule of Law\" and the stabilization of institutions, through a good governance. SSR goes beyond technical \"train and equip\" assistance ta a more political vehicle for change in  governance to make a security apparatus more effective and accountable.",null,"nie","nie"]
["ES010","Eurostat","Water Statistics and Accounts","Online",3,3,"2021-06-07","2021-06-09","0 EUR","2021-04-12","https://ec.europa.eu/eurostat/cros/content/water-statistics-and-accounts_en","To improve the theoretical and practical knowledge related to the collection, transmission, validation and aggregation of official water statistics. The main focus will be on different data sources and the complementarities of different direct and indirect methods such as measurements, surveys, models and estimations. The description of the respective strengths and weaknesses with special attention to data quality should thus result in an enhancement of the comparability between water statistics from countries using different methods.","Participants are asked to prepare a concise overview - for their own use during the course - of the official Water Statistics in their country, the methods applied and the forthcoming results. Especially the preparation of a list of data-gaps, problems engaged in data collection and other difficulties in their own country can be helpful when brought in in the discussions during the course. + entry qualification: Relevant professional experience desirable 1-2 years of work experience on water data collection and analysis",null,"nie"]
["ES011","Eurostat ","Energy statistics: Reporting and validation of annual statistics and price statistics","Online",4,{"$f":"_xlfn.DAYS(H1038,G1038)+1","v":4},"2021-06-07","2021-06-10","0 EUR","2021-04-12","https://ec.europa.eu/eurostat/cros/content/energy-statistics-reporting-and-validation-annual-statistics-and-price-statistics_en","The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Annex B of Regulation (EC) No 1099/2008 on energy statistics). The main focus will be on concepts and definitions of energy statistics, discussions on annual questionnaires.\nThe course will explore the European perspective within the international methodology concepts of energy statistics.",null,null,"nie"]
["ES012","Eurostat ","Energy statistics: Balance Builder and Shares' tool","Online",1,1,"2021-06-11","2021-06-11","0 EUR","2021-04-12","https://ec.europa.eu/eurostat/cros/content/energy-statistics-balance-builder-and-shares-tool_en","The course will introduce the theoretical and practical knowledge, as well as the methodological guidelines for the use of the Energy Balance Builder and SHARES tools in relation to the statistics collected within the European Union legal framework (Annex B of Regulation (EC) No 1099/2008 on energy statistics and Directive 2009/28/EC on the promotion of the use of energy from renewable sources). The main focus will be on methodology, concepts and definitions, calculations and discussions on these tools. Practical examples of the use of these tools will be also covered during the training.",null,null,"nie"]
["ES013","Eurostat ","Tidying up official statistics with R and GSBPM","Online",5,5,"2021-06-07","2021-06-11","0 EUR","2021-05-25","https://ec.europa.eu/eurostat/cros/content/tidying-official-statistics-r-and-gsbpm_en","The main objectives of the course are:1)Introduce the GSBPM and how it applies to quality control in NSI’s; 2)Introduce R and its basic functions; 3)Present how R can be used within NSI’s for processing, analyzing and creating output for users;4)Introduce the tidyverse and how it can be used for data wrangling; 5)Present ggplot and how it can be used to produce graphs; 6) Introduce Rmarkdown and how to write reports through R.",null,null,"nie"]
["ES014","Eurostat ","Disseminating Official Statistics as Linked Open Data","Online",4,4,"2021-06-14","2021-06-17","0 EUR","2021-04-19","https://ec.europa.eu/eurostat/cros/content/disseminating-official-statistics-linked-open-data_en","Present the essentials concepts of open data and linked open data.Improve data management skills in exploring feasible data sources, finding publications, data portals and how to publish them.",null,null,"nie"]
["ES015","Eurostat ","Government Finance Statistics and Excessive Deficit Procedure - Part I and Part II","Rím, Taliansko","2x5","2x5","2021-11-15","2021-11-19","0 EUR","2021-04-19","https://ec.europa.eu/eurostat/cros/content/government-finance-statistics-and-excessive-deficit-procedure_en","To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics;To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.",null,null,"nie"]
["ES016","Eurostat","Government Finance Statistics and Excessive Deficit Procedure - Part I and Part II","Luxembrug, Luxembursko","2x5","2x5","2021-12-13","2021-12-17","0 EUR","2021-05-10","https://ec.europa.eu/eurostat/cros/content/government-finance-statistics-and-excessive-deficit-procedure_en","To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics;To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.",null,null,"nie"]
["ES017","Eurostat","Statistical methods for policy evaluation","Online",{"$f":"NETWORKDAYS(G1044,H1044,sviatky)","v":4},{"$f":"_xlfn.DAYS(H1044,G1044)+1","v":4},"2021-06-28","2021-07-01","0 EUR","2021-05-03","https://ec.europa.eu/eurostat/cros/content/statistical-methods-policy-evaluation_en","This training introduces key analytical tools for the appraisal of projects, policies, programmes and regulations. Attention will be paid to the conceptual framework for appraisal with particular reference to methods used to value non-market impacts. Given that these tools are increasingly being used in actual policy formulation by, for example, national governments and international development agencies, a range of applications will be drawn upon.",null,null,"nie"]
["ES018","Eurostat","Planning and producing simple statistical products to improve statistical literacy for a wide audience","Online",2,2,"2021-06-29","2021-06-30","0 EUR","2021-05-04","https://ec.europa.eu/eurostat/cros/content/planning-and-producing-simple-statistical-products-improve-statistical-literacy-wide-audience_en","The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon",null,null,"nie"]
["ES019","Eurostat","Tourism Satellite Accounts","Cologne, Nemecko",3,3,"2021-09-15","2021-09-17","0 EUR","2021-07-21","https://ec.europa.eu/eurostat/cros/content/tourism-satellite-accounts_en","The training course will introduce the theoretical and practical know-how of TSA compilation and will position TSA vis-à-vis primary tourism statistics.The final goal of the course is to prepare participants to embark on the production of TSA at national level or to improve the existing TSA and to better align national TSA to the international recommendations.",null,null,"nie"]
["ES020","Eurostat","From strategies to practical use of Earth observation data for official statistics","Cologne, Nemecko",2,2,"2021-09-21","2021-09-22","0 EUR","2021-07-27","https://ec.europa.eu/eurostat/cros/content/strategies-practical-use-earth-observation-data-official-statistics_en","Providing knowledge and basic practice on use of earth observation data to produce statistics, EO data sets, processing analyses and presenting.",null,null,"nie"]
["ES021","Eurostat","ESSPROS – basic course","Luxembrug, Luxembursko",2,2,"2021-09-28","2021-09-29","0 EUR","2021-08-03","https://ec.europa.eu/eurostat/cros/content/esspros-%E2%80%93-basic-course_en","Good understanding of the ESSPROS system and the knowledge needed to deliver ESSPROS data in line with the methodological guidelines and regulations",null,null,"nie"]
["ES022","Eurostat","Basics for the use of Python in Official Statistics","Rím, Taliansko",3,3,"2021-09-28","2021-09-30","0 EUR","2021-08-03","https://ec.europa.eu/eurostat/cros/content/basics-use-python-official-statistics_en","The main objectives of the course are: Introducing the participants to the Python language and ecosystem;Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization)",null,null,"nie"]
["ES023","Eurostat","Balance of Payments – Advanced course","Paríž, Francúzsko",3,3,"2021-10-04","2021-10-06","0 EUR","2021-08-09","https://ec.europa.eu/eurostat/cros/content/balance-payments-%E2%80%93-advanced-course_en","The course aims at providing an advanced knowledge of the elaboration and use of statistics on: trade in goods, services, financial flows, trade in value added and IIP statistics",null,null,"nie"]
["ES024","Eurostat","Advanced Course on Quality Reporting","Rím, Taliansko",3,3,"2021-10-05","2021-10-07","0 EUR","2021-08-10","https://ec.europa.eu/eurostat/cros/content/advanced-course-quality-reporting_en","The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.",null,null,"nie"]
["ES025","Eurostat","Output Checking in Research Data Centres","Luxembrug, Luxembursko",2,2,"2021-10-21","2021-10-22","0 EUR","2021-08-23","https://ec.europa.eu/eurostat/cros/content/output-checking-research-data-centres_en","The objective of this course is to introduce participants to the practice of output checking for confidentiality risks. The course focuses on output that is generated by researchers from official microdata. In most cases researchers will have had access to microdata through the Research Data Centre of the data producer to produce the output. The participants will be invited to bring their own case studies for discussion in the training course.",null,null,"nie"]
["ES026","Eurostat","From annual to quarterly to monthly data: introduction to temporal disaggregation and benchmarking","Cologne, Nemecko",3,3,"2021-10-26","2021-10-28","0 EUR","2021-08-31","https://ec.europa.eu/eurostat/cros/content/annual-quarterly-monthly-data-introduction-temporal-disaggregation-and-benchmarking_en","Introducing to the theory and practice of temporal disaggregation, balancing and statistical reconciliation of systems of time series.",null,null,"nie"]
["ES027","Eurostat","Introduction to statistics production with the use of geographical information systems (GIS)","Oslo, Nórsko",3,3,"2021-10-26","2021-10-28","0 EUR","2021-08-30","https://ec.europa.eu/eurostat/cros/content/introduction-statistics-production-use-geographical-information-systems-gis-%E2%80%93-situ-course_en","To provide the participants with basic understanding on how to produce statistics with the use of geocoded statistical registers and map databases. Emphasis is on the use of Vector data and Vector tools, also getting to know and use the GIS-tool ArcGIS Pro.",null,null,"nie"]
["ES028","Eurostat","Education statistics - UOE (UNESCO-UIS / OECD / EUROSTAT) data collection","Cologne, Nemecko",2,2,"2021-11-09","2021-11-10","0 EUR","2021-09-14","https://ec.europa.eu/eurostat/cros/content/education-statistics-uoe-unesco-uis-oecd-eurostat-data-collection_en","Definitions, concepts and classifications used in UOE data collection (students enrolled, entrants, graduates, personnel, foreign  language learning, leraning mobility and education expenditure) in order to respect the European legal framework for education statistics. General issues of the financial data such as concepts, scope and types of transactions including improving education expenditure data and reconciliation exercise with national accounts.",null,null,"nie"]
["ES029","Eurostat","Development and use of indicator systems for evidence-based decision making in the context of SDG monitoring and other areas","Online",5,5,"2021-11-15","2021-11-19","0 EUR","2021-09-20","https://ec.europa.eu/eurostat/cros/content/development-and-use-indicator-systems-evidence-based-decision-making-context-sdg-monitoring-and-other-areas_en","To provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs.To provide knowledge about the links between  policy makers and other users of indicators and the statistical community providing data and indicators,To build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems.",null,null,"nie"]
["ES030","Eurostat","Introduction to Experimental Ecosystem Extent and Services Accounting based on SEEA-EEA","Haag, Holandsko",3,3,"2021-11-16","2021-11-18","0 EUR","2021-09-21","https://ec.europa.eu/eurostat/cros/content/introduction-experimental-ecosystem-extent-and-services-accounting-based-seea-eea_en","Provide an overview of the key concepts of SEEA ecosystem accounting. Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting. Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).",null,null,"nie"]
["ES031","Eurostat","National Accounts - Advanced course","Helsinki, Fínsko",8,10,"2021-11-16","2021-11-25","0 EUR","2021-09-21","https://ec.europa.eu/eurostat/cros/content/national-accounts-advanced-course_en","The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.",null,null,"nie"]
["UN286","University of Copenhagen","Summerschool 2021: Introduction to Social Data Science","Kodaň, Dánsko",{"$f":"NETWORKDAYS(G1059,H1059,sviatky!$A$1:$A$15)","v":17},23,"2021-08-02","2021-08-24","2625 DKK","2021-06-01","https://kurser.ku.dk/course/a%c3%98kk08216u/2021-2022","The objective of this course is to learn how to analyze, gather and work with quantitative social science data. Increasingly, social data that capture how people behave and interact with each other, is available online in new, challenging forms and formats. This opens up the possibility of gathering large amounts of interesting data, to investigate existing theories and new phenomena, provided that the analyst has sufficient computer literacy while at the same time being aware of the promises and pitfalls of working with various types of data.",null,null,"áno"]
["UN287","University of Copenhagen","Summer school 2021: Macroeconomic Risk Management","Kodaň, Dánsko",{"$f":"NETWORKDAYS(G1060,H1060,sviatky!$A$1:$A$15)","v":16},23,"2021-07-05","2021-07-27","2625 DKK","2021-06-01","https://kurser.ku.dk/course/a%c3%98ka08236u/2020-2021","Fortunately it is possible to carry most of this analysis with standard Finance tools. In this course we will integrate knowledge acquired in different areas (e.g. Corporate Finance, Financial Intermediation, Risk Management, and Behavioral Finance) to study the impact of macroeconomic risks.\n\n \n\nWe will start with an in depth analysis of the Great Recession that will show us how the financial system can amplify shocks. Then we will use Finance tools to study macroeconomic risk and their optimal and feasible management. We will then study two particular types of global risk: Of a global nuclear war, and global warming. Finally we will consider how fiscal and monetary policy smooth business cycles and how the social security system can redistribute intergenerational shocks, highlighting differences in how these risks can be managed in developed and developing countries.",null,null,"áno"]
["LB004","London Business School","Valuation","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1061,H1061,sviatky!$A$1:$A$15)","v":5},5,"2021-11-08","2021-11-12","7 700 GBP",null,"https://www.london.edu/executive-education/finance/valuation","Discover capital budgeting and appraisals, examine the workings of capital markets, and master the principles of capital structure.\nExplore a range of valuation tools and techniques, including how to apply cash flow analysis, cost of capital analysis, and risk analysis.\nUnderstand intricacies of illiquidity and optimal financing, including key issues like governance, cross-border transactions and leverage.\nPerform valuations on private companies like Google and Nike, using real-world cases. Learn how to put a value on any firm in a global context.","Odporúča sa prihlásenie 3 mesiace pred kurzom. V prípade potreby vie inštitúcia rezervovať miesto po dobu 2 týždňov."]
["KI215","Kiel Institute for World Economy","Advanced perspectives in the analytics and policy design of international migration","Kiel, Nemecko",{"$f":"NETWORKDAYS(G1062,H1062,sviatky!$A$1:$A$15)","v":5},5,"2021-10-04","2021-10-08","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2021-2022/advancedperspectivesintheanalyticsandpolicydesignofinternationalmigration/","The main purpose of the course is to induce the participants to think rigorously, creatively, and in non-conventional ways on various approaches to the modeling of migration choices and consequences, and to demonstrate to the participants how such a thinking process could enrich the spectrum of informed migration policies. Following the course, the participants are expected to be more at ease with deciphering theoretical research on migration, and at engaging in such research themselves. Participants will be exposed to the art of economic modeling in general, and to the workings of applied microeconomic theory in particular.    "]
["KI216","Kiel Institute for World Economy","Forecasting Methods with an Application to GDP","Kiel, Nemecko",{"$f":"NETWORKDAYS(G1063,H1063,sviatky!$A$1:$A$15)","v":5},5,"2021-11-22","2021-11-26","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2021-2022/forecasting-methods-with-an-application-to-gdp-jens-boysen-hogrefe/","Forecasting is a useful device for economic policy making. Numerous institutions like\ngovernments, central banks, the European Commission, the OECD, or the IMF regularly\nprovide economic forecasts. This course aims at giving insights into the field of time series\nforecasting from a practitioner’s point of view.","Course content: https://www.ifw-kiel.de/fileadmin/Dateiverwaltung/IfW_Unit/Education/Outlines/2021-22/syllabus_Boysen_March2021.pdf"]
["KI217","Kiel Institute for World Economy","Development Economics: Agriculture and the Organization of Production","Kiel, Nemecko",{"$f":"NETWORKDAYS(G1064,H1064,sviatky!$A$1:$A$15)","v":5},5,"2021-12-13","2021-12-17","1 800 EUR",null,"https://www.ifw-kiel.de/institute/events/asp-courses/2021-2022/development-economics-agriculture-and-the-organization-of-production-chris-udry/","Extreme poverty is concentrated among individuals who are engaged in low productivity\nagriculture. This course provides a theoretical and empirical examination of the economic\nactivities of families and individuals living and working in the highly constrained environments\nof poor rural communities. The course will be organized around morning lectures and\ndiscussions; afternoons will be reserved for work using World Bank LSMS-ISA data.","Course content: https://www.ifw-kiel.de/fileadmin/Dateiverwaltung/IfW_Unit/Education/Outlines/2021-22/syllabus_Udry_Dec2021.pdf"]
["TI323","Timberlake Consultants","27th Annual London Stata Conference","Online",{"$f":"NETWORKDAYS(G1065,H1065,sviatky!$A$1:$A$15)","v":2},2,"2021-09-09","2021-09-10",null,null,"https://www2.stata-uk.com/londonstatacon2021","Experience what happens when new and long-time Stata users from across all disciplines gather to discuss real-world applications of Stata. The meeting provides Stata users with the opportunity to exchange ideas, experiences, and information on new applications of Stata. Everyone who is interested in using Stata is welcome."]
["UT330","Utrecht University","Introduction to Complex Systems","Online",{"$f":"NETWORKDAYS(G1066,H1066,sviatky!$A$1:$A$15)","v":21},5,"2021-08-02","2021-08-30","100 EUR","2021-07-15","https://utrechtsummerschool.nl/courses/science/introduction-to-complex-systems","Our world has an abundance of so-called complex systems. These are typically large collections of connected elements that influence each other. In this online course, we combine examples across physics, the life sciences, socio-economic sciences and humanities with an introduction to basic mathematical tools to learn a complex systems way of thinking. The main aim is to show students how complex systems science is applied by Utrecht University researchers to challenging societal problems.","Kurz sa vyučuje 5 pondelkov. Posledný pondelok účastníci prezentujú projekty"]
["UT331","Utrecht University","Global Trends in Demographics and Migration","Online",{"$f":"NETWORKDAYS(G1067,H1067,sviatky!$A$1:$A$15)","v":10},{"$f":"_xlfn.DAYS(H1067,G1067)+1","v":12},"2021-08-02","2021-08-13","780 EUR","2021-07-20","https://utrechtsummerschool.nl/courses/social-sciences/global-trends-in-demographics-and-migration","Some scholars stress the negative effects of main demographic shifts and migration flows, others see new challenges. E.g. aging does not progress everywhere with the same speed. Recent emerging economies will age later, but in a much higher speed than developed countries did. This relates to migrant and refugee flows which are highly divers in push and pull factors and therefore not easy to predict. Demographics, economic pull centers, poverty and wars, all play a role. National and local governmental organizations prepare, anticipate and try to mitigate the aging, migration and economic issues with an array of policies, leading to regulations, provisions and lawful policies as well as populism. The UN is one of the players in the international arena, but local municipalities have their own issues to deal with increasing migrant groups and aging communities. Shifts in demographic structures either by migration or by aging will bring macro, meso and micro challenges of economic growth, urban planning, public welfare policies and cultural dilemmas. The course will address academic research and debates as well as policies dilemma’s, which are framed in e.g. pro versus anti-globalization, human rights versus own people first populism or Christianity versus Islam."]
["UT332","Utrecht University","Survey Research: Design, Implementation and Data Processing","Online",{"$f":"NETWORKDAYS(G1068,H1068,sviatky!$A$1:$A$15)","v":5},5,"2021-08-16","2021-08-20","620 EUR","2021-07-31","https://utrechtsummerschool.nl/courses/social-sciences/survey-research-design-implementation-and-data-processing","Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey methodology, organised by the Department of Methodology and Statistics in collaboration with Statistics Netherlands (CBS). Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, including questionnaire and mode effects), while balancing logistics and survey costs. Best practice guidelines for surveys from design to implementation, analysis and reporting will be discussed."]
["UT333","Utrecht University","A Gentle Introduction to Bayesian Statistics","Online",{"$f":"NETWORKDAYS(G1069,H1069,sviatky!$A$1:$A$15)","v":5},5,"2021-08-23","2021-08-27","620 EUR","2021-08-09","https://utrechtsummerschool.nl/courses/social-sciences/a-gentle-introduction-to-bayesian-statistics","This course describes the stages involved in Bayesian analysis: specifying the prior and data models, deriving inference, model checking and refinement. We discuss prior and posterior predictive checking, and selecting a technique for sampling from a probability distribution. Other topics discussed are: approximate measurement invariance (a Bayesian method to assess comparability of data), evaluating hypotheses via the Bayes Factor and information criteria, and combining evidence from multiple studies addressing the same research question. Finally, we propose strategies for reproducibility and reporting standards, outlining the WAMBS-checklist (when to Worry and how to Avoid the Misuse of Bayesian Statistics).  "]
["UT334","Utrecht University","Survey Research: Statistical Analysis and Estimation","Online",{"$f":"NETWORKDAYS(G1070,H1070,sviatky!$A$1:$A$15)","v":5},5,"2021-08-23","2021-08-27","620 EUR","2021-08-09","https://utrechtsummerschool.nl/courses/social-sciences/survey-research-statistical-analysis-and-estimation","The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects."]
["UT335","Utrecht University","Advanced Survey Design","Online",{"$f":"NETWORKDAYS(G1071,H1071,sviatky!$A$1:$A$15)","v":4},5,"2021-08-30","2021-09-03","620 EUR","2021-08-16","https://utrechtsummerschool.nl/courses/social-sciences/advanced-survey-design","This course in ‘advanced survey design’ takes students beyond the introductory courses and will discuss the state of the art in both the design and the analysis of survey data. We discuss new ways to analyse text data and sensor data generated by modern surveys. Course participants must be proficient working with statistical software (Stata, SPSS or R). Course materials have been developed in R, but most exercises on days 1-3 is in SPSS or STATA."]
["UZ001","University of Zürich","Advanced programming in R","Zürich, Švajčiarsko",{"$f":"NETWORKDAYS(G1072,H1072,sviatky!$A$1:$A$15)","v":1},1,"2021-10-15","2021-10-15","600 CHF","2021-10-13","https://www.weiterbildung.uzh.ch/programme/detail_en.php?angebnr=1687","This course builds upon the Introduction to programming in R course in May 2021. More details about the course contents will follow soon."]
["UZ002","University of Zürich","Current Trends in Sustainable Investing","Zürich, Švajčiarsko",{"$f":"NETWORKDAYS(G1073,H1073,sviatky!$A$1:$A$15)","v":1},1,"2021-11-19","2021-11-19","800 CHF","2021-10-19","https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/current-trends-in-sustainable-investing.html","Participants become familiar with the concepts of sustainability and the diversity of technical terms in the modern world of \"sustainable investing\". After the basic course you will have a deeper understanding of the SI market and its players and will be able to identify different SI investor profiles and analyse their investments and decision-making processes. Participants have extensive SI knowledge of product and investment strategies and understand SI-based asset management in terms of product analysis and selection. You will gain an insight into SI risk analysis and its performance measurement. The course thus imparts specialist knowledge for strengthening SI consulting and decision-making competence. The additional module \"Current Trends in SI\" offers a foundation in special topics and value chains of non-listed SI, such as sustainable infrastructure investments, bonds and engagement.","Case study homework"]
["UZ003","University of Zürich","Anonymization of personal data with applications in R","Zürich, Švajčiarsko",{"$f":"NETWORKDAYS(G1074,H1074,sviatky!$A$1:$A$15)","v":1},1,"2021-11-12","2021-11-12","600 CHF",null,"https://www.zhrcourses.uzh.ch/de/programm2021/anonymization.html"," \nNew technologies and research in the field of machine learning and deep learning methods and new ways of accessing, integrating and analyzing sensitive personal data increase the demand for solutions to be able to respect laws on data privacy and confidentiality. Fields of applications include official statistics and social sciences, financial transactions, social network activities, location trajectories, CRM, insurance data and medical records.\nNew data protection regulations, that especially include high penalties for violating privacy, put the topic of statistical disclosure control in focus."]
["UG002","University of Groningen","Creating a Climate for Change","Groningen, Holandsko",3,3,"2022-04-12","2022-04-14","300 EUR",null,"https://www.rug.nl/education/summer-winter-schools/climate_for_change/","Welcome to a summer school for sustainability education in Groningen. At this summer school, we want to share exciting and develop new ideas through series of participatory and interactive workshops. Through discussing our challenges in sustainability education, we will aim to critically analyze our experiences and share our best practices. We ask participants to bring in their cases and experiences.\n\nOver the course of the summer school the cases may concern themes:\n\nDefining and measuring sustainable education\nIncorporating sustainability as a central element of a course\nDeparting from solitude of specialization to teach sustainability\nCreating multi- inter- transdisciplinary education on program level\nShaping and incorporating transformative learning\nIntroducing complexity; valuing ethical and morals aspects of being\nIntegrative understanding by integrative teaching: ethical thinking and action are supported by moving from being bystander to being a neighbor or friend\nCreating intimate understanding of others and their needs to prompt compassionate action\nCreating awareness that knowledge is socially constructed\nBridging the knowledge-action gap: demonstrating to learners what people do with their knowledge  \nDeveloping reflective, compassionate politically and socially sensitive teachers\nEducators’ practice: how do you do what you teach?\nAnthropocene – bringing the effect of human on Earth in education\nCreating connections to the community\nBuilding community, building strong relationships, developing higher level thinking skills for real-life application\nChanges in Higher Education institutions towards accommodating SDGs\nappreciation/attention from the faculty/board authorities\nnew organizational forms\naccommodating inclusiveness"]
["ER003","Erasmus University Rotterdam","Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital","Online",35,35,"Self-paced","Self-paced","50 EUR",null,"https://www.eur.nl/en/course/advanced-valuation-and-strategy-ma-private-equity-and-venture-capital","Would you like to learn about the latest valuation methods that may help you to make better business decisions? This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!\n\nWe will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis.\n\nOur treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis? The tools we provide can improve your decisions in business and in daily life."]
["ER004","Erasmus University Rotterdam","Digital Analytics and Customer Insights","Online",{"$f":"NETWORKDAYS(G1077,H1077,sviatky!$A$1:$A$15)","v":3},{"$f":"_xlfn.DAYS(H1077,G1077)+1","v":3},"2021-10-27","2021-10-29","3 500 EUR + 21% DPH",null,"https://www.rsm.nl/executive-education/open-programmes/programmes/digital-analytics-and-customer-insights/overview/","This three-day workshop provides you with the tools needed to manage data through analytics and design thinking principles, and teaches you management strategies to leverage value-adding opportunities.\n\nOur data analytics and design thinking experts will teach you how to embed data management practices in your organisation, how to develop a data-driven strategy, and how to combine\ndirect insights from your customers with the use of big data. This programme presents a strategic view of data management, and how to use innovative design-thinking techniques when there’s little data available.\n\nWith professional guidance from faculty as well as your peers, you will learn techniques that you can use immediately to identify data opportunities in your department or organisation."]
["ER005","Erasmus University Rotterdam","Introduction to Economic Theories","Online",56,56,"Self-paced","Self-paced","50 EUR",null,"https://www.eur.nl/en/course/introduction-economic-theories","This is the first online course that teaches pluralist economics. This means that a plurality of theoretical and methodological viewpoints is regarded as valuable in itself and is the best way to understanding the world. I will introduce you to four theories for the whole set of standard topics in microeconomics and macroeconomics. The theories are presented from broad and more interdisciplinary to narrow and more mathematical. They are Social Economics, Institutional Economics, Post Keynesian economics and finally Neoclassical Economics, for the special case of ideally functioning markets. But not everything is different in this course. Like every economics course, it includes numbers, diagrams, equations, and some basic calculations."]
["ER006","Erasmus University Rotterdam","Econometrics: Methods and Applications","Online",49,49,"Self-paced","Self-paced","50 EUR",null,"https://www.eur.nl/en/course/mooc-econometrics-methods-and-applications","Do you wish to know how to analyse and solve business and economic questions with data analysis tools? Then this open online Econometrics course is right for you.\n\nWhen you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. This course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises.\n\nThe course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module."]
["ER007","Erasmus University Rotterdam","Enjoyable Econometrics","Online",35,35,"Self-paced","Self-paced","50 EUR",null,"https://www.eur.nl/en/course/mooc-enjoyable-econometrics","The goal of this MOOC is to show that econometric methods are often needed to answer questions. A question comes first, then data are to be collected, and then finally the model or method comes in. Depending on the data, however, it can happen that methods need to be adapted. For example, where we first look at two variables, later we may need to look at three or more. Or, when data are missing, what then do we do? And, if the data are counts, like the number of newspaper articles citing someone, then matters may change too. But these modifications always come last, and are considered only when relevant."]
["ER008","Erasmus University Rotterdam","Qualitative Comparative Analysis","Online",35,35,"Self-paced","Self-paced","50 EUR",null,"https://www.eur.nl/en/course/mooc-qualitative-comparative-analysis","Qualitative Comparative Analysis is a comparative method that is mainly used in the social sciences for the assessment of cause-effect relations (i.e. causation). This method can be used for the analysis of cases on all levels: macro (e.g. countries), meso (e.g. organisations) and micro (e.g. individuals). It is mostly used for research of small- and medium-sized samples and populations (10-100 cases), but it can also be used for larger groups. Ideally, the number of cases is at least 10. QCA cannot be used if you are doing an in-depth study of one case.\n\nThe activities of the course include watching the videos, consulting supplementary material where necessary, and doing assignments. The activities should be done in that order: first watch the videos; then consult supplementary material (if desired) for more details and examples; then do the assignments."]
["ER009","Erasmus University Rotterdam","Sustainable Finance","Online",{"$f":"NETWORKDAYS(G1082,H1082,sviatky!$A$1:$A$15)","v":3},{"$f":"_xlfn.DAYS(H1082,G1082)+1","v":3},"2021-09-28","2021-09-30","3 125 EUR + 21% DPH",null,"https://www.rsm.nl/executive-education/open-programmes/programmes/sustainable-finance/overview/?utm_source=eur.nl&utm_medium=banner-website&utm_content=link-exact-start-dates&utm_campaign=sustainable-finance","During the programme, you will:\n\nlearn how finance can be used to increase businesses’ contribution to a sustainable economy\nunderstand how the global economy is transitioning to sustainability\nlearn how companies and financial institutions can adapt to a more sustainable economic model\nexplore the newest approaches in sustainable investing and lending\nlearn how to engage with companies and set up an active dialogue\ndiscover practical tools to implement sustainable investing and lending in your organisation\njoin an international network of academics and practitioners."]
["LU001","Leiden University","Summer School Artificial Intelligence & Value Based Healthcare","Online",{"$f":"NETWORKDAYS(G1083,H1083,sviatky!$A$1:$A$15)","v":4},4,"2021-08-23","2021-08-26","50 EUR",null,"https://www.universiteitleiden.nl/en/education/study-programmes/summer-schools/summer-school-ai--vbhc-2021","The scope of this summer school is on implementing Artificial Intelligence (AI) in Value Based Healthcare (VBHC) practice. VBHC is the principle for our patient care. Internationally, there is a growing interest to implement the principles of VBHC, aiming to increasethe value of patient care at socially acceptable costs. AI is one of the fundamentals for innovation and is increasingly used to facilitate VBHC across and beyond all 10 themes for innovation. Successful implementation of AI in VBHC practiceis not just viewed froma technological point of view, but from a more holistic perspective. Specific attention is given to the people side of innovation and change and the importance of interdisciplinary collaboration when implementing AI-solutions in practice. This summer school is not intended to acquire skills in programming."]
["VU330","VU University Amsterdam","USING LOGIC AS A TOOL FOR MODELLING","Online",{"$f":"NETWORKDAYS(G1084,H1084,sviatky!$A$1:$A$15)","v":5},5,"2021-07-19","2021-07-23","950 EUR",null,"https://www.vu.nl/en/programmes/short/summer-school/courses/using_logic_as_technology_for_modelling/index.aspx?utm_source=summerschoolsineu&utm_medium=cpc&utm_campaign=summer2021","By the end of this course, students will be able to:• Understand what is meant by the study of logic, and summarise how the different systems of reasoning work.• Explain the relationship between proof theory and logic.• List and compare several forms of logic, and illustrate how they differ from classical logic.• Show how logic can be used to model diverse phenomena.• Distinguish the dual role of logic as both an idealised form of reasoning and a modelling tool.• Develop a keen understanding of abstract modelling and argumentation."]
["VU331","VU University Amsterdam","Data Analysis in R","Online",{"$f":"NETWORKDAYS(G1085,H1085,sviatky!$A$1:$A$15)","v":9},12,"2021-07-05","2021-07-16","950 EUR",null,"https://www.vu.nl/en/programmes/short/summer-school/courses/data-analysis-in-r/data-analysis-in-r.aspx","With the increasing use of alternative software packages like R in data analysis, now is the time to learn their ins and outs. The large number of active programmers creating R packages makes this an up-to-date programme providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots."]
["RU005","Radboud Universiteit Nijmegen","Introduction to Data Science with R and Rstudio for the Social Sciences","Online",{"$f":"NETWORKDAYS(G1086,H1086,sviatky!$A$1:$A$15)","v":5},5,"2021-08-09","2021-08-13","475 EUR","2021-06-01","https://www.ru.nl/radboudsummerschool/courses/2021/introduction-data-science-rstudio-social-sciences/","Understanding patterns in data is crucial for understanding human societies and making sound decisions. Learn R and Rstudio to become a modern data scientist in the social sciences. Topics that will be discussed in this course are: Reading and cleaning data, descriptive data analysis and visualization, multivariate analysis and scale construction and regression analysis."]
["UA002","University of Amsterdam","Behavioral Macro and Complexity","Online",{"$f":"NETWORKDAYS(G1087,H1087,sviatky!$A$1:$A$15)","v":5},5,"2021-08-23","2021-08-27","1 500 EUR","2021-07-26","https://summerschool.uva.nl/content/summer-courses/behavioral-macro-and-complexity/behavioral-macro-and-complexity.html?origin=B%2FoOXJ%2FoQvaRAJNdkBJwbQ","This course provides a state of the art overview of complex economic systems with boundedly rational heterogeneous agents. The leading paradigm in macroeconomics assumes that economic agents (households, firms, investors) are perfectly rational in making their decisions. Experimental and empirical evidence indicate that this assumption is too demanding."]
["LO251","London School of Economics and Political Science (LSE)","Managerial Accounting and Financial Control","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1088,H1088,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Accounting/AC101","This course provides an introduction to the management accounting and financial control concepts that are used in strategic decision-making, in order to effectively perform in a competitive business environment. Covering issues such as technology and digitalisation, corporate strategy, marketing and modern cost management tools, you will be able to critically analyse how these tools can be used to increase performance.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","Nie","áno/2x"]
["LO252","London School of Economics and Political Science (LSE)","Business Analysis and Valuation","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1089,H1089,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Accounting/AC215","Accurate business analysis and valuation is essential in determining the long-term health and future value of a firm. This information is critical for investors, senior managers, fund managers and private investors who need to make strategic decisions based on quantitative data and sound valuation methods.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno/2x"]
["LO253","London School of Economics and Political Science (LSE)","Strategic Management","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1090,H1090,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Business-and-Management/MG106","This course is suitable if you want to develop the critical-thinking skills to make strategic business decisions, especially if you are targeting a role in consulting or business management. The course emphasises critical-thinking with intensive use of analytical reasoning. It is rigorous in its approach, but does not require any previous knowledge of economics, mathematics, management or business so is open to students from a wide range of academic backgrounds.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO254","London School of Economics and Political Science (LSE)","Strategic Management","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1091,H1091,sviatky!$A$1:$A$15)","v":15},19,"2021-08-02","2021-08-20","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Business-and-Management/MG106","This course is suitable if you want to develop the critical-thinking skills to make strategic business decisions, especially if you are targeting a role in consulting or business management. The course emphasises critical-thinking with intensive use of analytical reasoning. It is rigorous in its approach, but does not require any previous knowledge of economics, mathematics, management or business so is open to students from a wide range of academic backgrounds.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO255","London School of Economics and Political Science (LSE)","Business Strategy in International and Emerging Markets","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1092,H1092,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Business-and-Management/MG206","How do firms based in wealthy economies successfully interact with partners or competitors in low-income countries? How do companies in emerging markets penetrate in high-income markets? Does the institutional environment in emerging economies affect the optimal strategies of global firms? This course is an introduction to strategic management of global firms and aims to answer some of these important questions. It studies the patterns of business globalisation and analyses successful strategies of firms facing the challenges imposed by the international integration of markets and production processes.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO256","London School of Economics and Political Science (LSE)","Introductory Microeconomics","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1093,H1093,sviatky!$A$1:$A$15)","v":15},19,"2021-08-02","2021-08-20","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC101","This course seeks to introduce microeconomic analysis as a way of understanding the world. You will be exposed to important topics like consumer choice theory, the theory of production and costs, the economics of time, and the impact of market failure and government intervention. You will be exposed to standard microeconomic theory to develop your economic intuition, whilst also gaining economic tools that support this intuition along the way.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno/2x"]
["LO257","London School of Economics and Political Science (LSE)","Applied Econometrics and Big Data","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1094,H1094,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC320","This course will provide a solid grounding in recent developments in applied micro-econometrics, including state-of-the art methods of applied econometric analysis.","programy: R/STATA, 50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno/2x"]
["LO258","London School of Economics and Political Science (LSE)","Introductory Macroeconomics","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1095,H1095,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC102","This course takes both a short and a long-term view of the economy, and aims to help you understand recent developments in macroeconomics using graphic analysis and simple algebra.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno/2x"]
["LO259","London School of Economics and Political Science (LSE)","Introduction to Econometrics","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1096,H1096,sviatky!$A$1:$A$15)","v":15},19,"2021-08-02","2021-08-20","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC212","The objective of this course is to provide the basic knowledge of econometrics that is essential equipment for any serious economist or social scientist, to a level where the participant would be competent to continue with the study of the subject in a graduate programme. ","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno/2x"]
["LO260","London School of Economics and Political Science (LSE)","Understanding Foreign Policy: the Diplomacy of War, Profit and Justice","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1097,H1097,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR105","This course examines the key concepts and schools of thought in the study of foreign policy. Concentrating on the process of decision making, internal and external factors which influence foreign policy and the instruments available to foreign policy decision makers, the course will provide you with an understanding of the role and effect that foreign policy has on international politics.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO261","London School of Economics and Political Science (LSE)","Development in the International Political Economy","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1098,H1098,sviatky!$A$1:$A$15)","v":15},19,"2021-08-02","2021-08-20","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR207","The objective of the course will be to explain the core debates in International Development, and to review potential policy interventions at global, national, and sub-national levels. The approach adopted in the course draws from political science and international relations, with a focus on political economy. It does not use quantified economics, and essays will be the means of evaluation.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO262","London School of Economics and Political Science (LSE)","Public Policy Analysis","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1099,H1099,sviatky!$A$1:$A$15)","v":15},19,"2021-08-02","2021-08-20","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR214","How do politics and institutions shape public policy? How and why does policy change? How does bureaucracy work, and how might it be reformed? These are some of the important questions this course addresses using theories and methods of public policy analysis using a global lens.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO263","London School of Economics and Political Science (LSE)","Machine Learning in Practice","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1100,H1100,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME315","Combining the fields of engineering, statistics, mathematics and computing, machine learning is one of the leading data science methodologies revolutionising business. This course will cover a wide range of machine learning methods, both model-based and algorithmic. Presenting the theoretical foundations of these methodologies, you will have an opportunity to apply them using real-world examples and datasets.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno"]
["LO264","London School of Economics and Political Science (LSE)","Further Statistics for Economics and Econometrics","Online/Londýn, Veľká Británia",{"$f":"NETWORKDAYS(G1101,H1101,sviatky!$A$1:$A$15)","v":15},19,"2021-08-02","2021-08-20","3400 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME117","The course provides a precise and accurate treatment of probability, distribution theory and statistical inference. As such there will be a strong emphasis on mathematical statistics as important discrete and continuous probability distributions are covered (such as the Binomial, Poisson, Uniform, Exponential and Normal distributions). Properties of these distributions will be investigated including use of the moment generating function.","50 GBP za prihlášku, ak viac kurzov, tak sa cena znižuje","nie","áno/2x"]
["NB001","National Bureau of Economic Research (NBER)","Summer Institute (3 týždne/50 rôznych konferencií)","Online",{"$f":"NETWORKDAYS(G1102,H1102,sviatky!$A$1:$A$15)","v":15},19,"2021-07-12","2021-07-30","0 EUR",null,"https://www.nber.org/conferences/summer-institute-2021","The 44th annual NBER Summer Institute will be held on-line between Monday, July 12 and Friday, July 30, 2021. It consists of nearly 50 distinct meetings, each focusing on a topic or a sub-field in economics. The schedule of meetings can be found here (https://www.nber.org/conferences/summer-institute-2021) and the schedule of individual papers may be found here (http://conference.nber.org/sched/SI21)","NBER conferences are by invitation."]
["HA118","Harvard","Strategy for Health Care Delivery","Boston, USA",3,3,"2022-11-16","2022-11-18","6 800 USD",null,"https://www.exed.hbs.edu/strategy-health-care-delivery/","When you improve value, everyone wins—your patients, your organization, and the global health care ecosystem. This program examines the latest strategies and organizational models for transforming the way health care is delivered, measured, and reimbursed. Empowered with new insights and capabilities, you will return to your organization prepared to implement and oversee a value-based health care approach that lowers costs and improves outcomes.","V cene: tuition, books, case materials, accomodations and most meals","áno ",null,null,"       "]
["HA119","Harvard ","Growth Strategies: Identifying Opportunities in Market Trends","Online",{"$f":"NETWORKDAYS(G1104,H1104,sviatky!$A$1:$A$15)","v":3},{"$f":"_xlfn.DAYS(H1104,G1104)+1","v":4},"2021-08-31","2021-09-03","2150 USD","2021-08-24","https://professional.dce.harvard.edu/programs/growth-strategies-identifying-opportunities-in-market-trends/#outcomes","This online program—integrating aspects of strategy, entrepreneurship, management, marketing, and technology—goes beyond benchmarking and performance reports to look at what spurs growth across a variety of industries, and how to spot it at the grassroots level. It’s designed to help participants develop a strategic, sustainable business growth strategy.","TIME\n\n10:00 AM – 1:30 PM ET","nie","nie"]
["HA120","Harvard ","Measurement, Design, and Analysis Methods for Health Outcomes Research","Online",{"$f":"NETWORKDAYS(G1105,H1105,sviatky!$A$1:$A$15)","v":5},{"$f":"_xlfn.DAYS(H1105,G1105)+1","v":5},"2021-09-20","2021-09-24","2100 USD",null,"https://www.hsph.harvard.edu/ecpe/programs/measurement-design-and-analysis/","In this online program, Harvard’s expert faculty in health outcomes research will guide you through the language and concepts needed to synthesize outcomes studies into useful knowledge for translation and implementation into practice. During this program you will learn the fundamentals for measuring, designing, and analyzing health outcomes research studies and data.","This program will take place online daily from 10:30AM – 12PM EDT,","nie","nie"]
["HA121","Harvard ","Benefit-Cost Analysis","Online",{"$f":"NETWORKDAYS(G1106,H1106,sviatky!$A$1:$A$15)","v":5},{"$f":"_xlfn.DAYS(H1106,G1106)+1","v":5},"2021-09-27","2021-10-01","525 USD",null,"https://www.hsph.harvard.edu/ecpe/programs/benefit-cost-analysis-valuing-life-and-health/","In this short online program, Lisa A. Robinson, a leading Harvard expert on benefit-cost analysis, will aid you in understanding the benefit-cost analysis framework and its application globally. You will learn the methods used for valuing changes in health and longevity, the values recommended for use in high-, middle-, and low-income settings, and the implications of the results. Through interactive presentations, case studies, extensive discussion, and optional office hours, you will develop a deeper understanding of these approaches and of their application.",null,"nie","nie"]
["HA122","Harvard ","Artificial Intelligence in Business: Creating Value with Machine Learning","Online",{"$f":"NETWORKDAYS(G1107,H1107,sviatky!$A$1:$A$15)","v":4},{"$f":"_xlfn.DAYS(H1107,G1107)+1","v":4},"2021-08-03","2021-08-06","2150 USD",null,"https://online-learning.harvard.edu/course/artificial-intelligence-business-creating-value-machine-learning?delta=2","This online program is designed to teach the management and application of artificial intelligence in the global business world. These two days will cover frontier technologies' implications, applications, and opportunities in both public and private sectors. Participants will also learn to determine when to pursue new technologies and how to implement them for organizational purposes.","The online version of Artificial Intelligence in Business: Creating Value with Machine Learning will be delivered in its entirety over two days (seven hours online).","nie","nie"]
["HA123","Harvard ","Comparative Tax Policy and Administration","Online",{"$f":"NETWORKDAYS(G1108,H1108,sviatky!$A$1:$A$15)","v":10},{"$f":"_xlfn.DAYS(H1108,G1108)+1","v":12},"2021-08-16","2021-08-27","4950 USD","2021-08-02","https://online-learning.harvard.edu/course/comparative-tax-policy-and-administration-online?delta=0","Developed by Harvard Kennedy School faculty, this 10-day online executive program will help you reconcile the universal unpopularity of taxation with your need to generate significant tax revenue in an economically efficient and social equitable manner.","A 1-hour Onboarding Session (week prior):  Wednesday, August 11, 2021 at 11:00 am EST OR 4:00 pm EST, Two live Faculty-led sessions per day: 8:30am – 12:00pm EST, Pre-program readings (estimated 5-10 hours of pre-work)","nie","nie"]
["SU004","Stanford University","Behaviorally Informed Design for Energy ConservationCurrent","Online",null,null,"Self-paced","Self-paced","295 USD",null,"https://online.stanford.edu/courses/xeiet202-behaviorally-informed-design-energy-conservation","This course covers strategies for designing and implementing effective behavior change programs that promote environmental sustainability. It is geared towards learners that want to venture outside of technology for a more holistic viewpoint on energy and sustainability.","This course is approximately 5 hours of video content with 2 hours of coursework. 60 day access to the online course starts upon payment. Course materials are available for download from the online videos page. All materials are available for printing and review upon enrollment.","nie","áno"]
["SU005","Stanford University","Blockchain and Cryptocurrency: What You Need to Know","Online",null,null,"Self-paced","Self-paced","195 USD",null,"https://online.stanford.edu/courses/soe-xcs0001-blockchain-and-cryptocurrency-what-you-need-know","This course aims to unpack the hype behind the “crypto craze” and give you the facts. Through the eyes of leading industry experts and Stanford instructors, you’ll learn what blockchains and cryptocurrencies are, how they can be used, and where the future of this technology is headed.","This course is approximately 6 hours of video content and 2 hours of coursework. It is comprised of video lectures, exercises, readings and supplemental materials.60 day access to the online course starts upon payment. Course materials are available for download from the online videos page. All materials are available for printing and review upon enrollment.","nie","áno"]
["SU006","Stanford University","Data-Driven Storytelling: From Evidence to Impact","Online",null,null,"Self-paced","Self-paced","695 USD",null,"https://online.stanford.edu/courses/xdgt222-data-driven-storytelling-evidence-impact","This course will give you the skills you need to take the data within your organization and use it to drive direction and transformation. You’ll learn how to identify key data, ask the right questions that lead to understanding the data, and use data in compelling ways, from visualization to storytelling.","60-day access to the online course starts upon payment.Course materials are available for download from the online videos page to allow for printing and review.\n","nie","áno"]
["SU007","Stanford University","Foundations of Information Security","Online",null,null,"Self-paced","Self-paced","495 USD",null,"https://online.stanford.edu/courses/xacs101-foundations-information-security","Learn the foundational skills needed to build a successful cybersecurity career. In this course, Neil Daswani will show you how to achieve basic security objectives (such as authentication, authorization, access control, confidentiality, data integrity and non-repudiation) by using secure systems and design principles. You’ll learn about major security breaches that have occurred over the years (think Target, JPMorganChase, Yahoo, and Equifax) and how to build countermeasures to defend against such attacks.","This course is approximately 12 hours of video content with 1.5 hours of coursework. 60 day access to the online course starts upon payment.Course materials are available for download from the online videos page. All materials are available for printing and review upon enrollment.","nie","áno"]
["MA264","Massachusetts Institute of Technology (MIT)","Transportation Networks and Smart Mobility: Methods and Solutions","Online",{"$f":"NETWORKDAYS(G1113,H1113,sviatky!$A$1:$A$15)","v":5},{"$f":"_xlfn.DAYS(H1113,G1113)+1","v":5},"2021-08-02","2021-08-06","3600 USD",null,"https://prolearn.mit.edu/transportation-networks-and-smart-mobility-methods-and-solutions","Ready to design the transportation systems of the future? Acquire the cutting-edge strategies you need by exploring cutting-edge traffic simulation models, demand modeling methods, and related analytical techniques. Over the course of five days, you’ll delve into the latest research from MIT’s Intelligent Transportation Systems Lab and learn to translate real-time data into real-world results that mitigate traffic congestion and other transportation challenges. ",null,"nie","nie"]
["MA265","Massachusetts Institute of Technology (MIT)","Solving Complex Problems: Structured Thinking, Design Principles, and AI","Online",{"$f":"NETWORKDAYS(G1114,H1114,sviatky!$A$1:$A$15)","v":5},{"$f":"_xlfn.DAYS(H1114,G1114)+1","v":5},"2021-08-09","2021-08-13","4800 USD","2021-08-01","https://professional.mit.edu/course-catalog/solving-complex-problems-structured-thinking-design-principles-and-ai","How do you solve important, large-scale challenges with evolving and contradictory constraints? In this 5-day course, transform your approach to large-scale problem solving, from multi-stakeholder engineering projects to the online spread of misinformation. Alongside engineers and leaders from diverse industries, you’ll explore actionable innovative frameworks for assessing, communicating, and implementing complex systems—and significantly increase your likelihood of success.",null,"Nie","nie"]
["MA266","Massachusetts Institute of Technology (MIT)","Strategies for Sustainable Business","Online",{"$f":"NETWORKDAYS(G1115,H1115,sviatky!$A$1:$A$15)","v":4},{"$f":"_xlfn.DAYS(H1115,G1115)+1","v":4},"2021-10-19","2021-10-22","5100 USD","2021-10-14","https://executive.mit.edu/course/strategies-for-sustainable-business/a056g00000URaZPAA1.html?utm_source=pro_executive_learning&utm_medium=referral&utm_campaign=more_info","This innovative program applies a unique MIT Sloan framework to the topic of environmental and socio-economic sustainability and uses an engaging mix of interactive lectures, simulation games and action learning. Participants leave with practical and impactful strategies for building consensus and making change, and are empowered to take action on sustainability from the personal through enterprise level.",null,"nie","nie"]
["MA267","Massachusetts Institute of Technology (MIT)","Understanding Global Markets: Macroeconomics for Executives","Online",{"$f":"NETWORKDAYS(G1116,H1116,sviatky!$A$1:$A$15)","v":4},{"$f":"_xlfn.DAYS(H1116,G1116)+1","v":5},"2021-11-15","2021-11-19","5100 USD",null,"https://executive.mit.edu/course/understanding-global-markets/a056g00000URaZRAA1.html","This program presents tools and frameworks to help executives understand and predict the medium- to long-run performance of economies in order to mitigate risk, develop growth plans, and make investment decisions, both locally and abroad. Participants will leave the program better able to make business decisions that take global markets and macroeconomics into account and how to interpret economic change in the context of their organization.",null,"nie","nie"]
["CL031","University College London (UCL)","Qualitative Research Methods in Health","Online",12.5,12.5,"2021-09-30","2021-12-04","250 - 1100 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/qualitative-research-methods-health","By attending all five courses you'll: gain a clear understanding of the principles of qualitative research, practise skills including interviewing, running a focus group, data analysis, and developing and presenting a research protocol","Each course will be held online over 2 half-days, from 10am to 1pm.","nie","nie"]
["ET001","ETH Zurich","Impact Evaluation in Practice","Zürich, Švajčiarsko",{"$f":"NETWORKDAYS(G1118,H1118,sviatky!$A$1:$A$15)","v":5},{"$f":"_xlfn.DAYS(H1118,G1118)+1","v":5},"2021-10-04","2021-10-08","950 CHF","od 31.5.2021","https://sce.ethz.ch/en/programmes-and-courses/search-by-programme-type/short-courses.html?otherLang=false&polycourseId=1793","Impact evaluations are a key tool for making evidence-​informed decisions to increase the impact of projects, policies, and organisations. The objective of this course is to enable participants to use existing impact evaluations for strategic and operational decision-​making, and to commission and manage new impact evaluations. The course provides an overview of widely used quantitative and qualitative methods.",null,"nie","nie"]
["TO001","University of Toronto","Using Python I: Organize and Analyze Data","Online",{"$f":"NETWORKDAYS(G1119,H1119,sviatky!$A$1:$A$15)","v":20},{"$f":"_xlfn.DAYS(H1119,G1119)+1","v":29},"2021-08-05","2021-09-02","559 USD",null,"https://learn.utoronto.ca/programs-courses/courses/3250a-using-python-i-organize-and-analyze-data","To succeed in today’s competitive business environment, organizations must not only collect reams of data but glean the most useful insights from this information. In this five-session course, you’ll learn to use Python to organize and analyze data and tell compelling stories your customers and stakeholders understand. You’ll plan your own analytics project, using Python to import data, organize it into a data frame and analyze it correctly. You’ll emerge well equipped to apply these methods at work and become a better business storyteller.",null,"nie","nie"]
["TO002","University of Toronto","Using Python II: Clean, Predict and Inform","Online",{"$f":"NETWORKDAYS(G1120,H1120,sviatky!$A$1:$A$15)","v":20},{"$f":"_xlfn.DAYS(H1120,G1120)+1","v":29},"2021-08-17","2021-09-14","559 USD",null,"https://learn.utoronto.ca/programs-courses/courses/3250b-using-python-ii-clean-predict-and-inform","If you already know how to use Python to organize and analyze data, this second-level course is for you. You’ll learn to apply data cleansing techniques and inferential statistical methods. You’ll develop a clearer understanding of how predictive models can support more informed business decisions, and create one using the insights you pulled. You’ll explore the fascinating world of data visualization and machine learning and emerge with greater confidence in the stories you tell and the data they’re based on.",null,"nie","nie"]
["NY001","New York University","Visualizing Data","Online",{"$f":"NETWORKDAYS(G1121,H1121,sviatky!$A$1:$A$15)","v":20},{"$f":"_xlfn.DAYS(H1121,G1121)+1","v":28},"2021-07-19","2021-08-15","850 USD",null,"https://execed.stern.nyu.edu/products/visualizing-data","In this four week course, students can progress at their own pace through the key steps of data visualization. The hands-on lessons will focus on techniques for data preparation — how to choose, create, and edit graphics, as well as best practices for presenting your visualizations.","Assignments. To pass this course, you will need a cumulative score of at least 55%.","nie","nie"]
["KC001","King's College London","An Introduction to Qualitative Research Methods","Online",{"$f":"NETWORKDAYS(G1122,H1122,sviatky!$A$1:$A$15)","v":4},{"$f":"_xlfn.DAYS(H1122,G1122)+1","v":4},"2021-07-19","2021-07-22","1000 GBP","2021-07-11","https://www.kcl.ac.uk/short-courses/qualitative-research-in-health","The course will give an overview and introduction to qualitative research methods, including individual interviews, focus group discussions, observation, ethical issues, content and thematic analysis, NVivo and rigour in qualitative research. The course will also highlight the different theoretical approaches to data collection and analysis, including the Grounded Theory Approach, Ethnography and Interpretative Phenomenological Analysis.",null,"nie","nie"]
["KC002","King's College London","Approaches to Policymaking","Online",null,"4 týždne","2022-05-10","2022-06-03","950 GBP","2022-04-19","https://www.kcl.ac.uk/short-courses/approaches-to-policymaking","Students will be introduced to the policy process: how public policies are decided upon and implemented. Making policy requires the agreement and participation of many actors, such as politicians, bureaucrats, agency heads and staff, interest groups representatives, journalists, judges, local government heads, and citizen groups as well as international actors. ","Format: Fully online, plus 3 x 1-hour weekly webinars","nie","nie"]
["KC003","King's College London","Foresight and Horizon-Scanning in Policymaking","Online",null,"4 týždne","TBD","TBD","950 GBP",null,"https://www.kcl.ac.uk/short-courses/foresight-and-horizon-scanning-in-policymaking","All public policy involves, either implicitly or explicitly, assumptions of or visions about the future. The field of Foresight comprises all techniques used to better inform and make more “future proof” public policy, strategy and decision-making at key junctures. Foresight has long been indispensable in policy fields that require long-term financial commitments in areas such as defence procurement, pension systems, energy generation, and environmental protection. It is also being used increasingly to anticipate or imagine socio-political developments in an era marked by major surprises in domestic, international and transnational politics, ranging from the 2008 Financial Crisis to the Russian annexation of Crimea, and the rapid rise of ISIS/D’aesh.","Format: Fully online, plus 3 x 1-hour weekly webinars","nie","nie"]
["TS024","Tstat","DYNAMIC PANEL DATA ANALYSIS","Online",6,6,"2021-09-27","2021-10-06","2020 EUR","2021-09-17","https://www.tstattraining.eu/training/dynamic-panel-data-analysis-ol/","During the course, particular attention is paid (using a combination of both official Stata and community written dynamic panel data analysis commands) to: i) evaluating which specific econometric methodology/specification is the more appropriate for the analysis in hand; ii) the selection of appropriate instruments; iii) rigorous post-estimation diagnostic/specification testing; and iv) the problems of inference resulting from weak instrument bias, instrument-proliferation bias and small-sample bias.","To facilitate the transition to an online format, the course programme has been transformed into 6 sessions running from 10.00 am to 1.30 pm Central European Summer Time (CEST) "]
["TS025","Tstat","TIME SERIES MODELLING AND FORECASTING USING STATA","Online",2,2,"2021-12-16","2021-12-17","675 EUR","2021-12-06","https://www.tstattraining.eu/training/time-series-modelling-and-forecasting-stata-ol/","Time series data is nowadays collected for several phenomena in social and empirical sciences. The aim of this course is to show participants how to use Stata to perform analysis, modelling and forecasting of time series. The course provides an overview of methods for analysing, modelling and forecasting the dynamic behaviour of economic time series and offers several practical examples of empirical modelling using real-world data. The course does not require any previous knowledge of Stata, since Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series."]
["TS026","Tstat","ANALYSING MICRO DATA IN STATA","Online",5,5,"2021-12-13","2021-12-21","1685 EUR","2021-12-03","https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health."]
["TI324","Timberlake Consultants","Stata Programming Workshop","Online",3,3,"2021-09-06","2021-09-08","720 GBP","2021-09-05","https://www.timberlake.co.uk/courses/stata-programming-workshop-sep21.html","This course is for Stata users–professionals and researchers from all academic disciplines–who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques."]
["TI325","Timberlake Consultants","Introduction to Linear Mixed Models using Stata","Online",2,2,"2021-09-23","2021-09-24","450 GBP","2021-09-22","https://www.timberlake.co.uk/courses/introduction-linear-mixed-models-stata.html","Mixed models are a modern powerful data analysis tool to analyse clustered data, typically arising in studies where the levels of a factor are a random selection from a wider pool, or in the presence of a multi-level nested structure with different levels of variability. Potential benefits of mixed models are greater generalisability of results and accommodation of missing values. In particular, mixed models have been used in clinical trials to analyse repeated measures, where measurements taken over time naturally cluster according to patient.The course will illustrate medical and health related applications of mixed modelling, such as multi-centre trials, cross-over trials, and the analysis of repeated measures. The course focuses on the linear mixed model, assuming normally distributed data, and on how to fit it and interpret its results."]
["TI326","Timberlake Consultants","An Introduction to Machine Learning in EViews","Online",2,2,"2021-10-08","2021-10-09","450 GBP","2021-10-07","https://www.timberlake.co.uk/courses/machine-learning-eviews-2021.html","Machine learning is a relatively new approach to data analytics, which places itself in the intersection between statistics, computer science, and artificial intelligence. Its primary objective is that of turning information into knowledge and value by “letting the data speak”. Machine learning limits prior assumptions on data structure and relies on a model-free philosophy supporting algorithm development, computational procedures and analytical solutions. This course provides an Introduction to Machine Learning in EViews."]
["TI327","Timberlake Consultants","An Introduction to Model Building Techniques in Stata","Online",1,1,"2021-10-13","2021-10-13","225 GBP","2021-10-12","https://www.timberlake.co.uk/courses/introduction-model-building-techniques-stata.html","n healthcare, economics or commercial data science, analysts of all backgrounds have to build models for their data. Models help us to understand causal relationships and forecast the future, but as statistician George Box put it, \"all models are wrong, but some are useful\". How do you know if your models are useful? Or maybe even wrong? This one-day course is an introduction to the techniques used in model building."]
["TI328","Timberlake Consultants","Quantile Regression Methods/Models in Stata","Online",2,2,"2021-10-22","2021-10-23","450 GBP","2021-10-21","https://www.timberlake.co.uk/courses/quantile-regression-stata-15oct.html","Quantile regression yields valuable insights in applications such as risk management, where answers to important questions lie in modelling the tails of the conditional distribution. Furthermore, quantile regression is capable of modelling the entire conditional distribution; this is essential for applications such as biostatistics. Stata offers several advanced quantile regression commands for time series and panel data. This course offers a comprehensive introduction to quantile regression models for time-series, count data and panel data. Several examples of quantile regression will be discussed, with applications ranging from financial econometrics to micro-econometrics and bio-statistics."]
["TI329","Timberlake Consultants","Macroeconomic Density Forecasting & Nowcasting","Online",2,2,"2021-11-01","2021-11-02","450 GBP",{"$f":"G1133-1","v":"2021-10-31"},"https://www.timberlake.co.uk/courses/macroeconomic-density-forecasting-nowcasting-nov21.html","Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques."]
["TI330","Timberlake Consultants","Econometrics of Program Evaluation Using Stata","Online",2,2,"2021-11-08","2021-11-09","450 GBP",{"$f":"G1134-1","v":"2021-11-07"},"https://www.timberlake.co.uk/courses/econometrics-program-evaluation-nov21.html","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods."]
["TI331","Timberlake Consultants","Building Your Own Models In EViews","Online",2,2,"2021-12-03","2021-12-04","450 GBP",{"$f":"G1135-1","v":"2021-12-02"},"https://www.timberlake.co.uk/courses/building-own-models-with-eviews-dec21.html","EViews is a great statistical package. From its drop down menu one can easily run simple OLS regressions, conduct hypothesis testing, obtain misspecification tests, estimate non-linear least squares, estimate simultaneous equation models, test for unit roots and cointegration, estimate long-memory models and time varying conditional variance specifications, run VARs, VECMs and Bayesian VARS, obtain impulse responses from structural VARs and estimate mixed frequency models (MIDAS)."]
["TI332","Timberlake Consultants","Instrumental Variables and Structural Equation Modelling using Stata - Online","Online",2,2,"2021-12-06","2021-12-07","450 GBP","2021-11-30","https://www.timberlake.co.uk/courses/instrumental-variables-structural-equation-modelling-stata-dec21.html","This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity."]
["ST001","Sitra","World Circular Economy Forum 2021","Online",2,3,"2021-09-13","2021-09-15",0,null,"https://www.wcef2021.com/","WCEF2021 will build on the previous events to focus on the cross-cutting issues and topics that are central to economic recovery and the circular transition. The event will bring together leaders, policymakers, experts and enthusiasts from around the world to focus on the key actions and systemic changes needed to create the conditions for long-term success on the path towards a thriving circular economy that contributes to achieving the UN’s Sustainable Development Goals.","konferencia"]
["NS009","NATO School","NATO European Security Cooperation Course","Online",5,5,"2021-09-06","2021-09-10",0,null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=42&TabId=155&keyword=&code=&startdate=&enddate=12%2f31%2f2021&exactdatematch=False&durationfrom=1&durationto=4&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","Aim\nTo increase interoperability and collaboration between NATO and European security agencies, OSCE nations and NATO Partner countries."]
["MC006","Metrika Consulting AB","Introduction to Stata","Online",4,4,"2021-09-10","2021-10-22","95 GBP","2021-09-09","https://www.stata.com/netcourse/intro-nc101/","Learn how to use all of Stata's tools and become a sophisticated Stata user. You will understand the Stata environment, how to import and export data from different formats, how Stata's intuitive syntax works, data management in Stata, matching and merging, how to analyze subgroups of data, how to reproduce your work and document it for publication and review, how to interact with the Stata community online, and more."]
["MC007","Metrika Consulting AB","Introduction to Stata Programming","Online",4,4,"2021-09-10","2021-10-22","150 GBP","2021-09-09","https://www.stata.com/netcourse/programming-intro-nc151/","Become an expert in organizing your work in Stata. Make the most of Stata's scripting language to improve your workflow and create concretely reproducible analyses. Learn how branching, looping, flow of control, and accessing stored estimation results can speed up your work and lead to more complete analyses. Learn about bootstrapping and Monte Carlo simulations, too."]
["MC008","Metrika Consulting AB","Univariate Time Series with Stata","Online",5,5,"2021-10-01","2021-11-19","295 GBP","2021-09-30","https://www.stata.com/netcourse/univariate-time-series-intro-nc461/","Learn about univariate time-series analysis with an emphasis on the practical aspects most needed by practitioners and applied researchers. Written for a broad array of users, including economists, forecasters, financial analysts, managers, and anyone who wants to analyze time-series data. Become expert in handling date and date–time data, time-series operators, time-series graphics, basic forecasting methods, ARIMA, ARMAX, and seasonal models."]
["MC009","Metrika Consulting AB","Introduction to Survival Analysis Using Stata","Online",5,5,"2021-10-01","2021-11-19","295 GBP","2021-09-30","https://www.stata.com/netcourse/intro-survival-analysis-nc631/","Learn how to effectively analyze survival data using Stata. We cover censoring, truncation, hazard rates, and survival functions. Topics include data preparation, descriptive statistics, life tables, Kaplan–Meier curves, and semiparametric (Cox) regression and parametric regression. Discover how to set the survival-time characteristics of your dataset just once then apply any of Stata's many estimators and statistics to that data."]
["MM003","Maastricht School of Management","Value Chain Analysis for business development and local value addition","Maastricht, Holandsko",5,5,"2021-12-06","2021-12-10","2 799 EUR","2021-11-29","https://www.msm.nl/education-programs/executive-education/msm-executive-open-enrollment-programs/value-chain-analysis/introduction","The Value Chain Analysis for business development and local value addition program focuses on how developing economies can benefit from global and regional value chains. Three inter-related aspects will be highlighted: (a) Strategies for particularly small and medium-sized enterprises (SMEs) to participate in global and regional value chains; (b) Policies for governments and business support organizations to help SMEs insert themselves into such chains; and (c) Opportunities for governments and civil society organizations to promote green and inclusive value chains."]
["JV006","Joint Vienna Institute","Policy Support to the Private Sector","Online",5,5,"2021-09-27","2021-10-01",0,"2021-09-05","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21JV11.html","The COVID-19 pandemic triggered a massive global economic downturn. In response, national and international authorities around the globe launched an unprecedented set of policy measures to cushion the economic impact of the crisis and to support the recovery process. Following an overview of the range of support measures deployed in various countries, the course will focus on policy support to the corporate sector. With macroeconomic policies already stretched, many observers call for a more targeted approach. How can the viability of companies benefiting from liquidity and solvency support be assessed to avoid the emergence of ‘zombie firms’? What is the role of the legal rulebook, notably bankruptcy procedures? What is the role played by financial sector regulation and supervision? Looking further ahead, to what extent should support measures be horizontal or targeted to specific sectors or purposes, such as reducing the carbon footprint of industry? What are the implications of increased state ownership in the economy and how can this be best managed?"]
["JV007","Joint Vienna Institute","Public-Private Partnerships","Online",10,12,"2021-10-04","2021-10-15",0,"2021-09-12","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21AA06.html","This one-week course deals with the issues emerging from public-private partnerships in a variety of economic relations. The aim of the course is to provide the theoretical background for public-private partnerships, to analyze the contractual relations that emerge, and to study in detail the financial relationship and the sharing of risks and proceeds between public and private partners. The course draws on European and other experiences, including in particular the Austrian experience. An attempt is also made to bring to the fore the experiences of transition countries. The lectures and discussions cover specific sectors and cases, and provide detailed analysis of the political, legal and financial issues involved. Sectors covered include infrastructure, energy, health, innovation and science, and others. Equity and debt financing and the issue of risk sharing are discussed in depth. Practical examples and exercises are also provided."]
["JV008","Joint Vienna Institute","Fintech and Financial Stability","Online",5,5,"2021-11-15","2021-11-19",0,"2021-10-24","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21JV13.html"," The financial system is rapidly changing due to a wide range of technological innovations that are often subsumed under the heading ‘Fintech’. Fintech impacts many aspects of the financial system, from key bank functions such as the provision of loans to payment systems and the creation of cryptocurrencies. These developments imply many opportunities for the financial system as well as the real economy. At the same time they also imply new challenges for financial stability and financial supervision. The aim of this course is to provide a structured overview of the range of Fintech developments in general and across the JVI region, identifying opportunities for financial development as well as challenges from a public policy perspective."]
["JV009","Joint Vienna Institute","Public Financial Management and Administrative Reforms","Online",5,5,"2021-11-22","2021-11-26",0,"2021-11-05","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21AA08.html","This one-week course covers recent administrative reforms in Austria, many of which are also on the policy agenda in other countries. The course offers a practitioner’s perspective, and participants should have knowledge of fiscal policy and experience with the implementation of public financial management and administrative reforms in their countries. Top officials from the Austrian Federal Ministry of Finance, the Federal Chancellery, and the Parliamentary Budget Office will share their experience and discuss issues of administrative reform in Austria and at the European Union or international level."]
["JV010","Joint Vienna Institute","Model-Based Monetary Policy Analysis and Forecasting","Online/Viedeň, Rakúsko",10,12,"2021-11-29","2021-12-10",0,"2021-09-06","https://www.jvi.org/training/course-schedule/course-schedule-2021/course/21IM39.html","This two-week course, presented by the IMF´s Institute for Capacity Development, provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary analysis and forecasting. It emphasizes analysis of monetary policy responses to macroeconomic imbalances and shocks. Participants are provided with the tools necessary to develop or extend the model to fit their own monetary policy framework. Country case studies are used to reinforce participant understanding and to help them compare and assess a variety of possible experiences."]
["IC023","International Training Centre","FOSTERING GREEN BUSINESS GROWTH","Online",10,12,"2021-10-04","2021-10-15","985 EUR","2021-09-20","https://www.itcilo.org/courses/fostering-green-business-growth-0","Environmental challenges, including climate change, are changing the way businesses work, either because they are forced to or because they proactively seek to. Green businesses are more profitable and future proof. Green businesses save scarce resources, help maintain healthy ecosystems, minimize pollution and waste, limit greenhouse emissions, and provide green goods and services to enable more responsible consumption patterns."]
["IC024","International Training Centre","GREENING-WITH-JOBS LEARNING FORUM","Turín, Taliansko",5,5,"2021-11-15","2021-11-19","2 285 EUR","2021-11-15","https://www.itcilo.org/courses/greening-jobs-learning-forum","This Forum provides an opportunity to share good practices, knowledge and experiences and be inspired to create sustainable and decent work opportunities in sectors with high potential for green jobs creation, such as building and construction, waste management and agriculture. The event brings together experts and practitioners involved at local, sectoral, national and global level in interventions aimed at harnessing the transformative potential of the green economy. In a future-of-work scenario that requires the creation of more and better jobs in the transition towards low-carbon economies, \"investing more in the green economy can advance an inclusive future of work, because environmental degradation disproportionately affects vulnerable populations and low-income countries. Major investment and innovation opportunities await in renewable energy and environmentally sustainable construction and retrofitting, with significant job creation and reskilling impacts\" (ILO, 2019).","konferencia"]
["IC025","International Training Centre","FINANCIAL EDUCATION PROGRAMME DESIGN AND IMPLEMENTATION: A COURSE FOR POLICY-MAKERS AND PRACTITIONERS","Turín, Taliansko",5,5,"2021-11-08","2021-11-12","2 285 EUR","2021-11-08","https://www.itcilo.org/courses/financial-education-programme-design-and-implementation-course-policy-makers-and","This course focuses on designing and implementing a financial education strategy (national, institutional or local). Participants will discuss experiences, lessons learned and international practical knowledge gained in this field. They will be provided with relevant tools, frameworks and instruments, and will consider the best practices applied by various institutions and actors globally. The course will be grounded in the experience of financial education acquired over the past decade by the ILO, the ITCILO and other leading global agencies and practitioners. As an outcome of the course, participants will design financial-education outreach strategies for various target groups, produce specific action plans, and prepare for their next steps on returning to work."]
["IE001","IEA","Energy Efficiency Indicators: Essentials for Policy Making","Online","self-paced","self-paced","self-paced","self-paced",null,null,"https://elearning.iea.org/courses/course-v1:InternationalEnergyAgency+EPM1+Open/about","nergy efficiency is critical to overcoming the challenges facing the global energy system as we seek to ensure a secure, sustainable and affordable energy supply for citizens the world over. This is why the IEA is placing efficiency at heart of the global energy agenda. It is the one energy resource that every country possesses in abundance and is essential to addressing energy security, environmental and economic challenges. As such, energy efficiency is becoming a growing priority for policymakers around the world. Yet actions lag behind intentions and there is still vast untapped potential for realizing energy efficiency globally."]
["IE002","IEA","Energy Efficiency Indicators: Fundamentals on Statistics","Online","self-paced","self-paced","self-paced","self-paced",null,null,"https://elearning.iea.org/courses/course-v1:InternationalEnergyAgency+FS1+Open/about","Energy efficiency is critical to overcoming the challenges facing the global energy system as we seek to ensure a secure, sustainable and affordable energy supply for citizens the world over. This is why the IEA is placing efficiency at heart of the global energy agenda. It is the one energy resource that every country possesses in abundance and is essential to addressing energy security, environmental and economic challenges. As such, energy efficiency is becoming a growing priority for policymakers around the world. Yet actions lag behind intentions and there is still vast untapped potential for realizing energy efficiency globally."]
["IE003","IEA","Energy Efficiency in Buildings","Online","self-paced","self-paced","self-paced","self-paced",null,null,"https://elearning.iea.org/courses/course-v1:IEA+BUILDINGS1+Open/about","Energy efficient buildings are a cornerstone of a prosperous, sustainable and healthy society. This course aims to prepare participants to successfully advance energy efficient building construction and retrofits. The original version of this course was developed in partnership with CAF - development bank of Latin America."]
["IE004","IEA","Sustainable Energy Policies for Smart Cities","Online","self-paced","self-paced","self-paced","self-paced",null,null,"https://elearning.iea.org/courses/course-v1:IEA+CITIES1+2020/about","This course explores the multiple facets of enabling energy efficiency in Southeast Asian cities through efficient and smart technologies, policies and planning that meet local conditions and urban energy challenges. From getting an overall picture of how the urban system consumes energy, participants will then learn how it can be made more efficient through various clean energy policies along three main dimensions: spatial planning and transport, municipal services, and distributed energy resources."]
["IP038","ictPRO","ÚVOD DO DATA SCIENCE (DM1)","Online/Brno, Česko",2,2,"2021-10-14","2021-10-15","10 769 CZK",null,"https://www.skoleni-ict.cz/kurz/Uvod-do-data-science-DM1.aspx","Data science je na trhu práce v současné době jedním z nejlépe placených oborů. V tomto kurzu si představíme, co vše se pod tímto pojmem skrývá, od seznámení s daty a možností jejich vizualizace, přes aplikaci metod strojového učení, až po interpretaci spolu s vyhodnocením výsledků a jejich potenciální využití v praxi. Tento kurz nevyžaduje programátorské dovednosti, protože jeho praktická část probíhá na cloudové platformě (BigML) a na desktopovém nástroji (RapidMiner)."]
["GE254","GESIS – Leibniz Institute for Social Sciences","Introduction to Computational Social Science with Python","Online",5,5,"2021-09-13","2021-09-17","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0x883C13C86BDD484F855B36E1CABD2A77","This course provides a highly interactive introduction to Computational Social Science using Python. Python is the most popular programming language of data science, used in natural language processing, machine learning, and artificial intelligence. This five-day course is designed for social scientists who would like to conduct data collection, analysis, and modelling with Python and attend further courses within the GESIS Fall Seminar in Computational Social Science. Classes focus on hands-on exercises, therefore participants are required to watch pre-recorded videos about the theoretical background that is needed to start your journey in computational social science (e.g.: software installation, data ethics, tips on how to visualize data). For additional details on the course and a day-to-day schedule, please download the full-length syllabus."]
["GE255","GESIS – Leibniz Institute for Social Sciences","Introduction to Computational Social Science with Applications in R","Online",5,5,"2021-09-13","2021-09-17","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xAA223D757BBE443588588573DC340480","The course will provide an overview of the methods used in the field of computational social science (CSS) and their real-world applications. It will include both theoretical explanations of different methods and hands-on practical exercises through which the participants will be able to apply the discussed techniques in R. The course is aimed at participants with no or little experience with computational methods. Within the course, topics such as web scraping, foundations of computational text analysis, data visualization and ethical aspects of CSS will be covered. The course will take place online and will consist of pre-recorded video lectures combined with live Q&A sessions, exercises and project work. By the end of the course, each participant will have practical experience in R in retrieving web data, applying basic text analysis techniques to it, and visualizing the results. The participants will gain this experience through supervised practical exercises as well as through group projects on which they will work semi-independently, with the guidance from the lecturers, throughout the course. For additional details on the course and a day-to-day schedule, please download the full-length syllabus."]
["GE256","GESIS – Leibniz Institute for Social Sciences","Web Data Collection and Natural Language Processing in Python","Online",5,5,"2021-09-20","2021-09-24","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0x94A20B73CE614C7B828751FEFBFFFF36","Data Science is the interdisciplinary science of extracting interpretable and useful knowledge from potentially large datasets. In contrast to empirical social science, data science methods often serve purposes of exploration and inductive inference. In this course, we aim to provide an introduction on how to tap into the vast amount of digital behavioral data available on Web platforms and processing it to be useful for social science research purposes."]
["GE257","GESIS – Leibniz Institute for Social Sciences","Automated Web Data Collection with R","Online",5,5,"2021-09-20","2021-09-24","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xB5D4F105772F45B58972878A8465229C","The increasing availability of large amounts of online data enables new lines of research in the social sciences. Over the past years, a variety of data - whether election results, press releases, parliamentary speeches or social media content - has become available online. Although data has become easier to find, ist extraction and reshaping into formats ready for downstream analyses can be challenging. This makes data collection and cleaning skills essential for researchers. The goal of this course is to equip participants to gather online data and process it in R for their own research."]
["GE258","GESIS – Leibniz Institute for Social Sciences","A Practical Introduction to Machine Learning in Python","Online",5,5,"2021-09-27","2021-10-01","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xD00A750313384AFC8E83C510C6662B3B","The course will provide insights into the concepts, challenges and opportunities associated with data so large that traditional research methods (like manual coding) cannot be applied anymore and traditional inferential statistics start to lose their meaning. Participants are introduced to strategies and techniques for capturing and analyzing digital data in communication contexts using Python. The course offers hands-on instructions regarding the several stages of computer-aided content analysis. More in particular, students will be familiarized with preprocessing methods, analysis strategies and the visualization and presentation of findings. The focus will be in particular on Machine Learning techniques to analyze quantitative textual data, amongst which both deductive (e.g., supervised) machine learning and inductive (e.g., unsupervised machine learning) approaches will be discussed."]
["GE259","GESIS – Leibniz Institute for Social Sciences","Social Network Analysis with R","Online",5,5,"2021-09-27","2021-10-01","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xBAF346ACAB3249D6A6514D579A4E06E9","Social Network Analysis has become an integral part of a Computational Social Scientist training. The methodological toolkit is powerful, because it is strongly rooted in interdisciplinary theory, techniques, measurements, and interpretations. It is thus suitable for either independent explorations of data and research questions (from small to large-N cases), as well as in mixed-methods research designs, complementing both qualitative and quantitative methodologies. In this class, participants learn the fundamentals of social network theory, methods and techniques, and their application to diverse sets of research problems. We cover topics such as: (1) what it means to work with network data and how to do data collection (from various sources), (2) analysis of networks at the macro-level (network structures), meso-level (network groups and communities), and micro-level (network positions of individual nodes), and (3) hypothesis testing and causal analysis."]
["GE260","GESIS – Leibniz Institute for Social Sciences","Sequence Analysis in the Social Sciences (Online-Workshop!)","Online",3,3,"2021-09-27","2021-09-29","720 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xBEFC155C6A744FACAA5641E1D9D5E67F","This workshop introduces sequence analysis for social science research. Sequence analysis, originally developed in biology to analyze strings of DNA, has attracted increasing attention in the social sciences for the analysis of longitudinal data. Most applications study life course processes, including labor market careers, transitions to adulthood, or family formation. This workshop covers longitudinal data management (only briefly; with Stata), basic techniques of sequence analysis (with Stata, but mainly with R), as well as recent methodological developments tailored at social science research questions. Topics include different ways of calculating distances between sequences, cluster analysis after sequence analysis, sequences visualization, techniques for analyzing sequences' multidimensionality and the association between sequences' unfolding over time and independent variables. All methods are demonstrated with hands-on examples using Stata (SQ package, for data preparation and basic sequence analysis) and R (TraMineR package)."]
["GE261","GESIS – Leibniz Institute for Social Sciences","Introduction to Social Media as Research Data: Potentials and Pitfalls (Online-Workshop!)","Online",4,4,"2021-11-02","2021-11-05","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xF34090A481AC42D4B98B9BCD4D47470F","The activities and interactions of hundreds of millions of people worldwide are recorded as digital traces including social media data from websites like Facebook, Twitter, Instagram, reddit and more. These data offer increasingly comprehensive pictures of both individuals and groups on different platforms, but also allow inferences about broader target populations beyond those platforms. Notwithstanding the many advantages, studying the errors that can occur when digital traces are used to learn about humans and social phenomena is essential."]
["GE262","GESIS – Leibniz Institute for Social Sciences","Tools and Workflows for Reproducible Research in the Quantitative Social Sciences (Online-Workshop!)","Online",2,2,"2021-11-17","2021-11-18","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x6D125E38FB5043FFA900EE56B9EA740F","The focus of the course is on reproducible research in the quantitative social and behavioral sciences. Reproducibility here means that other researchers can fully understand and (re-)use your statistical analyses. The workflows and tools covered in this course will, ultimately, also facilitate your own work as they allow you to automate analysis and reporting tasks. The goal of this course is to introduce participants to tools and processes for reproducible research and enable them to make use of those for their own work."]
["TH250","The European Regional Science Association (ERSA)","Cohesion Policy: evidence-based lessons for digital and green recovery in Europe","Online",1,1,"2021-09-24","2021-09-24",0,null,"https://ersa.eventsair.com/online-workshop-cohesion-policy/","This workshop explores the opportunities and challenges triggered by the digital and green transitions in Europe and its regions. The Recovery Plan and Next Generation EU are reshaping the entire EU policy landscape towards a common purpose: a digital, green and inclusive recovery from Covid-19. Cohesion Policy – the key development policy of the Union – takes centre stage in this historical opportunity to ‘build back better’ to benefit all citizens and regions. Solid evidence on ‘what works in practice’ and a truly inter-disciplinary approach are needed to inform, guide and shape a new generation of regional and industrial policies able to deliver on this ambitious agenda. High-level speakers from a diverse set of fields and institutions will engage in an evidence-based debate on how Next Generation EU and the EU Cohesion Policy could support a digital, green and inclusive recovery in all EU regions. What is (and what should be) the role of data and evaluation for policy learning? How can we address the challenges for green and digital recovery in less developed regions? What can we learn from the experience of 50 years of Cohesion Policy to inform and shape new evidence-based interventions?"]
["CI002","Centre for Industrial Studies","KEEPING PACE WITH CBA: Investment appraisal for the Next Generation EU","Online",3,3,"2021-09-22","2021-09-24","500 EUR",null,"https://www.csilmilano.com/cba-webinar/","Public spending efficiency and effectiveness ensuring good value for money is increasingly important in the post-COVID era. With the combination of the 2021-2027 Multiannual Financial Framework and Next Generation EU, there is an extraordinary commitment of resources from the European Union towards the recovery and the building of a greener, more digital and resilient EU. A fiscal effort of this size provides an unprecedented availability of financing opportunities but also calls for sound national frameworks and methods for the prioritisation, appraisal and selection of investments.","Možnosť registrácie aj na jednotlivé dni samostatne. \n1 deň = 200 EUR, 3 dni = 500 EUR"]
["CE181","Center of Excellence in Finance","Translation of Financial Statements into Statistics","Online",5,5,"2021-09-20","2021-09-24",0,"2021-09-13","https://www.cef-see.org/21-dap04","This online course will discuss features of financial statements for different financial and nonfinancial sector institutions (like banks, pension funds, public sector corporations, construction companies, etc.) and participants will complete a compilation exercise during the workshop to compile statistics from a sample set of financial statements."]
["CE182","Center of Excellence in Finance","Economic Analysis and Forecasting with Micro-Data","Ľubľana, Slovinsko",3,3,"2021-10-11","2021-10-13",0,"2021-09-20","https://www.cef-see.org/21-dap05","At this event, we will review a set of methodologies typically used in microdata analysis. We will focus our efforts into learning how to build a simple microsimulation model through a guided exercise with real data using STATA software. We will raise awareness about the possible sources of microdata, learn how to manage large datasets and discuss data quality issues. Participants will increase the technical skills to use statistical methods for the analysis of microdata and how to use them for different policy impact assessments."]
["CE183","Center of Excellence in Finance","Monitoring Implementation of Structural Reforms","Ľubľana, Slovinsko",3,3,"2021-10-26","2021-10-28",0,"2021-09-22","https://www.cef-see.org/21-bpe04","This workshop will address monitoring as a phase of the policy cycle while focusing on structural reforms outlined in ERPs. It will offer hands-on knowledge of possible methods and available tools for monitoring of implementation and results of structural reform measures."]
["CM010","Cemmap","Remote Policy Evaluation methods course","Online",3,3,"2021-11-29","2021-12-01","924 GBP",null,"https://www.cemmap.ac.uk/event/remote-policy-evaluation-methods-course-4/","How can one evaluate whether a government labour market programme such as the Work Programme, or a subsidy to education such as the EMA is actually working? This course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic ‘treatment’ – from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of smoking on own and children’s health.","Please note the dates for this course: 8 – 28 November for self-paced study, November 29 + 30 + December 1 for the 3 live days."]
["CM011","Cemmap","Sequence Analysis","Online/Londýn, Veľká Británia",2,2,"2021-10-13","2021-10-14",0,null,"https://www.cemmap.ac.uk/event/sequence-analysis/","The methodological workshop provides a two-day course on sequence analysis, a methodological framework to study trajectories described as a sequence of categorical states, such as familial or professional trajectories. The workshop is aimed to a large audience, starting with a general overview on the uses of sequence analysis in the social sciences and how to define trajectories in a life course perspective. It then presents descriptive and visualization methods, before moving to the creation of a typology of trajectories focusing on the different choices to be made (cluster algorithms, distance measures, cluster quality measures). The course also discusses data management for sequence analysis, missing data handling and multichannel sequence analysis. Each theoretical presentation is followed by practical sessions on how to run all the presented analysis using R, TraMineR and WeightedCluster. The workshop also includes a short introduction to R for those not familiar with the software."]
["BE007","Bank of England","Fourth Conference on Law and Macroeconomics","Online",2,2,"2021-10-27","2021-10-28",0,"2021-09-15","https://www.bankofengland.co.uk/events/2021/october/fourth-conference-on-law-and-macroeconomics","The role of law as an instrument of macroeconomic policy, and a means to providing social protection, through the Covid-19 pandemic has opened-up new and exciting research opportunities. As we edge towards recovery, what is the role of law in creating a macroeconomy appropriate for a post-pandemic world? ","konferencia"]
["AE013","AdeptEvents","MODEL-DRIVEN BUSINESS ANALYSIS TECHNIQUES","Online",1,1,"2021-09-21","2021-09-21","338,80 EUR",null,"https://adeptevents.nl/event/model-driven-business-analysis-techniques?lang=en","his workshop introduces business-friendly modelling techniques that have been proven on both custom development and packaged software projects. They are repeatable by analysts, relevant to business subject matter experts, and useful to developers. They are also surprisingly popular with Agile teams because they support “just enough” modeling to get started with confidence, and then let iterative development take over. It distills the material from Alec’s three, two-day workshops on Working With Business Processes, Business-Oriented Data Modelling, and Use Cases & Services."]
["AE014","AdeptEvents","THE DATA-PROCESS CONNECTION","Online",1,1,"2021-10-11","2021-10-11","338,80 EUR",null,"https://adeptevents.nl/event/data-process-connection?lang=en","Whether you call it a conceptual data model, a domain map, a business object model, or even a “thing model,” a concept model is invaluable to process and architecture initiatives. Why? Because processes, capabilities, and solutions act on “things” – Settle Claim, Register Unit, Resolve Service Issue, and so on. Those things are usually “entities” or “objects” in the concept model, and clarity on “what is one of these things?” contributes immensely to clarity on what the corresponding processes are."]
["AE015","AdeptEvents","BUSINESS-ORIENTED DATA MODELLING MASTERCLASS","Online/Utrecht, Holandsko",3,3,"2021-11-22","2021-11-24","1600 - 1990 EUR",null,"https://adeptevents.nl/event/datamodelling?lang=en","This new 3-day interactive workshop combines the core content from two popular data modelling offerings by Alec Sharp – Business Oriented Data Modelling and Advanced Data Modelling. Suitable for both new and experienced modellers, this course first explores unique techniques for rapidly developing high-quality models while maintaining the involvement of business professionals. It then provides hands-on practice with skills in more challenging topics – generalisation, recursion, subtyping, modelling time and history, presenting models to non-technical groups, the connection between E-R modelling and dimensional modelling, and many more. In all cases, the underlying philosophy is that a data model is a description of a business, not of a database."]
["AC279","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT I ","Online/Praha, Česko",1,1,"2021-10-18","2021-10-18","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi."]
["AC280","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT II","Online/Praha, Česko",1,1,"2021-10-19","2021-10-19","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-ii/","Komplexní analýzy několika proměnných představují snahu odhalit vícerozměrnou latentní datovou strukturu a nalézt interpretaci této struktury. Hledáme informaci, která je skryta v souboru dat za tříděním více než dvou kategorizovaných proměnných pomocí klasických Pearsonových testů hypotéz pro třídění vyšších stupňů, pomocí obdoby faktorové analýzy pro nominální proměnné (vícenásobná korespondenční analýza), a pomocí postupného vyhledávání interakcí (asociační stromy). Grafická i číselná analýza jsou podkladem pro interpretaci výsledků."]
["AC281","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT III","Online/Praha, Česko",1,1,"2021-10-20","2021-10-20","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/","Logaritmicko-lineární modely v kontingenčních tabulkách tvoří systém metod, kterými lze flexibilně formulovat a ověřovat různé hypotézy v tabulkách četností. Modelují se vzájemné souvislosti mezi kategoriemi i vztahy k jedné závislé proměnné. Přístup poskytuje také řešení pro nestandardní situace analýzy dat ve speciálních případech."]
["AC282","ACREA CR","DISKRIMINAČNÍ ANALÝZA","Online/Praha, Česko",1,1,"2021-11-29","2021-11-29","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/diskriminacni-analyza/","Diskriminační analýza je technika klasifikace případů do dvou nebo více skupin pomocí souboru číselných proměnných a z nich odvozených syntetických kritérií. Model poskytuje výstupy pro klasifikaci/rozhodování mezi třídami nominální proměnné, studium závislostí mezi proměnnými a pro komparační analýzu skupin."]
["AC283","ACREA CR","HIERARCHICKÉ LINEÁRNÍ MODELOVÁNÍ","Online/Praha, Česko",1,1,"2021-10-11","2021-10-11","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/hierarchicke-linearni-modelovani/","Model hierarchického lineárního modelování (často uváděný pod zkratkou HLM) zachycuje situaci, kdy jsou výběrové jednotky organizovány v postupně podřazených skupinkách, v nichž jsou pozorování korelována, a kde je porušen předpoklad nezávislých pozorování. Takové situace vznikají jak v reálném uskupení hierarchie skupinek v populaci, tak v důsledku výběrových postupů. Modely zahrnují analýzu rozptylu, regresní analýzu a jejich kombinace a vedou na tzv. smíšený regresní model (mixed models)."]
["AC284","ACREA CR","LOGISTICKÁ REGRESE","Online/Praha, Česko",1,1,"2021-12-14","2021-12-14","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","Logistická regrese je predikčním modelem pro kategorizované veličiny. Nezávislé proměnné mohou být jak číselné, tak i kategorizované. Na základě nalezeného modelu lze provádět predikce pro neznámé případy včetně odhadu pravděpodobnosti výskytu jednotlivých cílových kategorií. Metoda se užívá v bankovnictví, medicíně, marketingu, ekonomii a v technických nebo přírodních vědách."]
["AC285","ACREA CR","REGRESNÍ ANALÝZA I","Online/Praha, Česko",1,1,"2021-11-23","2021-11-23","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","Regresní analýza je metoda statistické analýzy vztahů. Slouží k popisu, vysvětlení a k predikci. Kurz zahrnuje modely jednorozměrné a vícerozměrné lineární regresní analýzy pro číselné proměnné. Důraz je kladen na význam a konstrukci základního modelu, testy hypotéz o jeho parametrech a na výběr vhodných prediktorů pomocí automatických postupů."]
["AC286","ACREA CR","REGRESNÍ ANALÝZA II","Online/Praha, Česko",1,1,"2021-11-24","2021-11-24","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","Samostatný jednodenní kurz navazuje na látku kurzu Regresní analýza I. Pojednává o ověřování správnosti a vhodnosti lineárního regresního modelu. Rozšiřuje modelové možnosti pro zpřesnění popisu vztahů a nabízí aparát diagnosticko-predikčního charakteru. Pojednává o kategorizovaných prediktorech a analýze jejich vlivu na závislou proměnnou, o nelineárních a interakčních členech v rovnici. Postupy hodnocení modelu pomocí reziduí a charakteristik vlivu jednotlivých pozorování. Predikční role regresních rovnic a ocenění jejich predikční síly tak, aby výsledné rovnice maximálně odpovídaly datové realitě."]
["AC287","ACREA CR","ÚVOD DO BAYESOVSKÉ ANALÝZY DAT","Online/Praha, Česko",1,1,"2021-12-13","2021-12-13","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/uvod-do-bayesovske-analyzy-dat/","Bayesovská statistika je plnohodnotnou alternativou k běžně využívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Na rozdíl od frekvenční statistiky nevycházejí odhady bayesovské statistiky pouze z výběrového souboru, ale ovlivňují je i naše předchozí znalosti (apriorní informace). Výsledek (aposteriorní odhad) je tak kombinací našich dat a dříve získaných poznatků.  Do nedávné doby nebylo možné postupy bayesovské statistiky plnohodnotně využívat, ale díky rozvoji výpočetní techniky a MCMC algoritmů jsou dnes k dispozici i pro běžné počítače. Bayesovské přístupy jsou vhodné zejména tam, kde dochází k replikaci studií a zároveň tam, kde jsou výběrové soubory poměrně malé. Jejich velkou předností je také možnost flexibilní práce s různými typy proměnných (nespojité) a možnost odhadů (imputací) chybějících hodnot. Tento přístup je nicméně zcela univerzální a může být užit místo všech běžně známých procedur frekvenční statistiky. V rámci kurzu se zaměříme především na analogii t-testů, analýzy rozptylu a regresní analýzy za pomoci programu IBM SPSS Statistics ve spojení s R."]
["AC288","ACREA CR","ÚVOD DO JAZYKA R","Online/Praha, Česko",2,3,"2021-11-01","2021-11-03","560 EUR",null,"https://kurzystatistiky.cz/kurzy/kurzy-softwaru-ibm-spss/uvod-do-jazyka-r/","R je programovací jazyk a prostředí pro statistickou analýzu a vizualizaci dat. Je dostupný jako volně šiřitelný software. Ovládá se z příkazové řádky, je však možné využít několika volně dostupných programů s grafickým rozhraním (například RStudio). R nabízí širokou škálu procedur se statistickými a grafickými nástroji. Uživatelé si mohou rovněž vytvářet vlastní knihovny, běžnější však je stahování hotových knihoven (balíčků) z internetu. V současnosti existuje v centrálním úložišti CRAN přibližně 11 000 dostupných knihoven zaměřených na různé obory statistické analýzy jako ekonometrie, data mining, prostorová analýza, geostatistika, bioinformatika a další. Jazyk R je stále více populární nejen na akademické půdě, ale i v komerčních aplikacích"]
["AA002","Aalto University","YHYS colloquium: Sustainable Welfare","Espoo, Fínsko",2,2,"2021-11-25","2021-11-26","50 EUR",null,"https://www.aalto.fi/en/sustainable-welfare","Welfare societies have evolved to pursue progress, distribute wellbeing, and build up institutional capacities to regulate and steer social development. Sustainability concerns present a double bind for such societies. While the key conditions of the development of welfare societies erode, including rampant acquisition of natural resources and rapid economic growth, crisis escalate and transformational sustainability challenges amount. In between such pressures, sustainability pursuits call for a broad constituency, new visions of welfare and wellbeing and creative articulation of transformational pathways to sustainability.","konferencia"]
["OU017","University of Oxford","Introducing Mapping, Spatial Data and GIS (Online)","Online","self-paced","self-paced","2021-09-13","2021-11-26","312 GBP",null,"https://www.conted.ox.ac.uk/courses/introducing-mapping-spatial-data-and-gis-online?code=O21P561BIV#programme_details_container","Investigate the power of maps and spatial data to document and illustrate local and global issues. Learn how to use Geographic Information Systems (GIS) to explore the world around you and share ideas. Apply GIS principles and tools to create your own maps from freely-available online spatial data.","10 GBP poplatok za registráciu, možno vyžiadať certifikát za zloženie assignmentu",null,"áno"]
["OU018","University of Oxford","Microeconomics: An Introduction (Online)","Online","self-paced","self-paced","2021-09-13","2021-11-26","312 GBP",null,"https://www.conted.ox.ac.uk/courses/microeconomics-an-introduction-online?code=O21P344SOV","Microeconomics: an introduction will equip students with the technical skills with which they will be able to understand how consumers and firms make everyday consumption and production decisions. In this case the course will ensure that students are able to relate fundamental microeconomic theory with daily economic activity. The course will also allow students to develop critical thinking skills by considering the case of market failure which occurs in sharp contrast to traditional microeconomic theory. In this case students will learn that despite the notion that supply and demand are determined by the market, there are cases of missing markets where government intervention is required to substitute for the price mechanism. Students will also be able to use the knowledge gained on this course to everyday circumstances.","10 GBP poplatok za registráciu, možno vyžiadať certifikát za zloženie assignmentu",null,"áno"]
["OU019","University of Oxford","International Labour Migration: Economics, Politics and Ethics (Online)","Online","self-paced","self-paced","2021-09-15","2021-11-26","312 GBP",null,"https://www.conted.ox.ac.uk/courses/international-labour-migration-economics-politics-and-ethics-online?code=O21P453SOV","This global course analyses one of the most controversial public policy issues of the 21st century: how to regulate international labour migration and the rights of migrant workers. Integrating economics, politics and ethics, the course comprehensively discusses the determinants, impacts and regulation of labour immigration and emigration around the world.","10 GBP poplatok za registráciu, možno vyžiadať certifikát za zloženie assignmentu",null,"áno"]
["OU020","University of Oxford","Macroeconomics: An Introduction (Online)","Online","self-paced","self-paced","2021-09-22","2021-12-03","312 GBP",null,"https://www.conted.ox.ac.uk/courses/macroeconomics-an-introduction-online?code=O21P476SOV","This course provides a detailed introduction to, and encompasses the fundamentals of macroeconomics. On completion of the course you will have the ability to critically assess real-world macroeconomic developments at first-year undergraduate level.","10 GBP poplatok za registráciu, možno vyžiadať certifikát za zloženie assignmentu",null,"áno"]
["OU021","University of Oxford","Public Policy Economics (Online)","Online","self-paced","self-paced","2021-09-22","2021-12-03","312 GBP",null,"https://www.conted.ox.ac.uk/courses/public-policy-economics-online?code=O21P412SOV","All of us are affected by government policies, and governments place particular emphasis on economic policies. This course covers some of the most important questions about the aims and tools of economic policy. It will equip students to evaluate the economic arguments made about public policy choices.","10 GBP poplatok za registráciu, možno vyžiadať certifikát za zloženie assignmentu",null,"áno"]
["SD001","UC San Diego ","Data Analytics Using Python","Online","self-paced","self-paced","2021-09-20","2021-11-19","725 USD",null,"https://extension.ucsd.edu/courses-and-programs/data-analytics-using-python","In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques."]
["SD002","UC San Diego ","Data Science with R","Online","self-paced","self-paced","2021-09-20","2021-11-19","725 USD",null,"https://extension.ucsd.edu/courses-and-programs/data-science-with-r","Data management and manipulation is an essential task for data scientists who deal with data on a day-to-day basis. In recent years, many R packages were developed to tackle a wide variety of data science challenges. The focus of this course is the tidyverse suite of packages, which contain a large variety of tools to efficiently manage complex and big data. The materials in this course are essential for developing robust and efficient R programs in the data science field."]
["SD003","UC San Diego ","GIS I: Introduction to GIS","Online","self-paced","self-paced","2021-09-20","2021-11-19","750 USD",null,"https://extension.ucsd.edu/courses-and-programs/introduction-to-gis","The ability to analyze and manipulate spatial data is critical across many industries, including urban planning, healthcare, agriculture, mining, trade, environmental science, and military intelligence. The demand for skilled GIS analysts is projected to grow rapidly in the coming years, as this specialized area of data analysis is leveraged in an expanding number of fields."]
["SD004","UC San Diego ","GIS III: Geodatabase Design","Online","self-paced","self-paced","2021-09-20","2021-11-19","775 USD",null,"https://extension.ucsd.edu/courses-and-programs/gis-iii-geodatabase-design","As with all types of data, without a way to organize large sets of geographic or spatial data, it can become increasingly difficult to extract useful information from the data. A geodatabase offers a reliable way to create an organized collection of geographic datasets."]
["SD005","UC San Diego ","Introduction to R Programming","Online","self-paced","self-paced","2021-09-20","2021-11-19","695 USD",null,"https://extension.ucsd.edu/courses-and-programs/r-programming","In this course, you will learn the most commonly-used (roughly 100) functions and operators from the R Base Package, which serves as the fundamental tools for accessing data from multiple sources, manipulating different types of R objects, performing character manipulation, and generating reports.  Furthermore, you will also learn how to write your own functions by using different types of control structures."]
["SD006","UC San Diego ","Introduction to Statistics using R","Online","self-paced","self-paced","2021-09-20","2021-11-19","725 USD",null,"https://extension.ucsd.edu/courses-and-programs/introduction-to-statistics-using-r","In this class, you will master the most widely used statistical methods, while also learning to design efficient and informative studies, to perform statistical analyses using R, and to critique the statistical methods used in published studies. No prior knowledge of statistics or R is required and emphasis is on concepts and applications, with many opportunities for hands-on work."]
["SD007","UC San Diego ","LEAN Thinking for Big Data Analytics","Online","self-paced","self-paced","2021-09-21","2021-11-27","795 USD",null,"https://extension.ucsd.edu/courses-and-programs/lean-big-data-analytics-building-a-path-to-data-transformation-success","This course will equip you with the knowledge and skills required to pivot your workplace into a data-driven organization. By examining industry case studies, lessons learned, and the latest data analytics tools and platforms, you will learn how best to gain actionable insights from big data as well as to develop data solutions and data transformation road maps for businesses of varying sizes and complexity levels."]
["SD008","UC San Diego ","Statistics for Data Analytics","Online","self-paced","self-paced","2021-09-20","2021-11-19","650 USD",null,"https://extension.ucsd.edu/courses-and-programs/statistics-for-data-analytics","In this course, students will gain a comprehensive introduction to the statistical theories and techniques necessary for successful data mining and analysis. Particular attention will be paid to topics critical to data analytics, such as descriptive and inferential statistics, probability, linear and multiple regression, hypothesis testing, Bayes Theorem, and principal component analysis. This course prepares students for subsequent Data Mining courses."]
["IL001","Imperial College London","Digital Transformation Strategy","Online",5,5,"2021-11-29","2021-12-03","2450 GBP",null,"https://exec-info.imperial.ac.uk/digital-transformation-strategy-virtual-programme?utm_source=ImperialWeb#","This programme is designed to equip mid to senior-level executives with insights and practical skills to develop digital transformation strategies. The Imperial Digital Transformation Strategy programme is one of the offerings in the Imperial Virtual Programme portfolio, characterised by live interactive sessions with faculty. This five-day live virtual programme is designed to help you plan and build a digital transformation strategy that can be taken away and implemented."]
["KR001","Karolinska Institute","Network Medicine and Big Data Day","Online/Štokholm, Švédsko",1,1,"2021-10-20","2021-10-20",null,null,"https://news.ki.se/network-medicine-and-big-data-day","This fall the Network Medicine Alliance at (KI NMA) will host a day all about Network Medicine and Big Data. With introductory seminars about network medicine in the morning and invited keynote lectures followed by panel debates in the afternoon.","konferencia"]
["MN001","Monash University","Introduction to Data Analysis: SPSS Without Tears","Melbourne, Austrália",2,2,"2021-11-08","2021-11-10","950 USD",null,"https://www.monash.edu/study/courses/find-a-course/2022/introduction-to-data-analysis-spss-without-tears-pdm1144?domestic=true","This short course introduces data analysis using IBM SPSS. Participants will have opportunity to analyse real life medical data and supports for results discussion and conclusion. The short course will cover: data entering, data labelling, data cleaning, data computing / transforming, and data analysis (using commands on menus) including summary statistics, hypothesis test, 95% CI, ANOVA, non-parametric method, RR, OR, correlation, linear regression, logistic regression and Cox's regression. Participants may attend Day 1, Day 2 or both days of this course Learning objectives"]
["VA001","Vrije Universiteit Amsterdam","Data Analysis in R","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/data-analysis-in-r","The large number of active programmers creating R packages makes this course an up-to-date programme providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots. In this course, we’ll start out with the data structures present in R (vectors, matrices, lists, data frames) and how to perform simple operations with them. Then, we’ll learn how to import the data in R and how to save the output of your analyses. We’ll also go over logical operations and key elements to navigate through datasets. "]
["VA002","Vrije Universiteit Amsterdam","Digital Transformation Series: Your Disruptive Advantage in the Digital Economy","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/digital-transformation-series-your-disruptive-advantage-in-the-digital-economy","Today, many businesses agree on one thing: Digital is the way of the future. Yet, digital transformation is one of the main challenges that businesses are facing. Remaining competitive in the 21st century requires businesses to leverage digital technologies to develop and implement new business models. This forces businesses to re-evaluate their skills, capabilities, strategies, structures and culture to adopt digital technologies and meet the ever changing needs of customers. Do you want to future-proof your career and acquire the necessary skills to ensure you are not left behind? Join the Digital Transformation short course to learn how this is possible."]
["VA003","Vrije Universiteit Amsterdam","Econometrics of Networks","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/econometrics-of-networks","Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization. This course offers a concise introduction into the most recent econometric methods developed for processing, visualizing and learning from network data."]
["VA004","Vrije Universiteit Amsterdam","Economic Evaluation in Health Care","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/economic-evaluation-in-health-care","Cost-effectiveness is becoming increasingly important in decision processes concerning the reimbursement of healthcare interventions. At the same time, this criterion also raises a lot of discussion, because many people feel uncomfortable when costs are considered in healthcare decision-making. In this course, we will discuss why cost-effectiveness is important, what important aspects are when designing a cost-effectiveness study, and how to conduct, analyse, interpret and report a cost-effectiveness study."]
["VA005","Vrije Universiteit Amsterdam","Meta-Analysis: Know-how and beyond","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/meta-analysis-know-how-and-beyond","During this course, students will learn how to formulate a problem and analyze it conducting a meta-analysis in JASP, an open-science software. Also, students will practice a wide-and-far literature search and will learn how to report their findings following the PRISMA standards. Students will learn the basics of how to prepare and describe a meta-analytical study in a separate article. They will see how to apply this technique to summarise studies found in a manuscript in order to improve the cohesion and “publishability.”"]
["VA006","Vrije Universiteit Amsterdam","Qualitative Research Into Health Professions Education","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/qualitative-research-into-health-professions-education","This course offers you the full journey through the qualitative research process. On the way, we consider all the essential phases: thinking about paradigms, formulating a research question, considering research designs, collecting data by preparing and holding an interview, coding and analysing the data, writing up results and presenting findings. The course mixes hands-on experiences with theory. We challenge students to try out every step of the journey, and will highlight all the choices available and necessary when doing a qualitative study.  There is room for participants to apply it to their own research plans and discuss their doubts and questions."]
["VA007","Vrije Universiteit Amsterdam","Research-creation: merging the critical and the creative","Online",5,5,"2022-01-10","2022-01-14","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/research-creation-merging-the-critical-and-the-creative","This course will explore research-creation as an invitation to rethink normative ways of thinking, knowing, and doing within academia, while highlighting artistic practice as research, and making/creating as a form of knowledge creation in and of itself."]
["SU008","Stanford University","Graph Search, Shortest Paths, and Data Structures","Online","self-paced *odhad: 16-32 hodín","self-paced","self-paced","self-paced",0,null,"https://online.stanford.edu/courses/soe-ycs0010-graph-search-shortest-paths-and-data-structures","The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).","možný certifikát"]
["SU009","Stanford University","R Programming Fundamentals","Online","self-paced ","self-paced","self-paced","self-paced",0,null,"https://online.stanford.edu/courses/xfds112-r-programming-fundamentals","This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman.","možný certifikát (79USD)"]
["SU010","Stanford University","Building Energy Efficiency: Technology, Policy & Finance","Online","self-paced *odhad: 16-32 hodín","self-paced","self-paced","self-paced","295 USD",null,"https://online.stanford.edu/courses/xeiet203-building-energy-efficiency-technology-policy-finance","Decarbonizing commercial, industrial, and residential buildings is critical to developing affordable, reliable, and low-carbon energy systems. However, understanding the basics of energy efficiency can be challenging, given its deeply intertwined technology, policy, and finance dimensions. Further, while energy efficiency is a rapidly expanding, multi-billion-dollar global industry, market, behavioral, and institutional barriers often hinder its uptake.",null,"áno"]
["SU011","Stanford University","Economics of the Clean Energy Transition","Online","self-paced","self-paced","self-paced","self-paced","295 USD",null,"https://online.stanford.edu/courses/xeiet201-economics-clean-energy-transition","The transition to a clean energy economy is well on its way. But it is far from clear that the world’s economies will complete this transition in the time left to address the problem of carbon emissions and climate change. Business leaders, policy makers and the general public generally seek a lower carbon footprint but struggle to agree on a timely and cost effective pathway to decarbonization.",null,"áno"]
["HA124","Harvard","Data Visualization: Communicating Data and Complex Ideas Visually","Online",3,3,"2021-11-30","2021-12-02","2150 USD","2021-11-24","https://professional.dce.harvard.edu/programs/data-visualization-communicating-data-and-complex-ideas-visually/#outcomes","This online program combines the science of data visualization with the art of graphic design to help you communicate complex information more accurately and effectively. By transforming data sets into visual graphics—such as charts, bar graphs, scatterplots, and heatmaps—you will learn to present complex data in ways your audience can better understand. Through hands-on exercises, you will explore the many types of data in use today, learn how people perceive different graphical displays, and create visual presentations that make a stronger impact on your audience."]
["HA125","Harvard","Foundations of Data-Driven Decision Making","Online",4,4,"2021-10-26","2021-10-29","2150 USD","2021-10-19","https://professional.dce.harvard.edu/programs/foundations-of-data-driven-decision-making-for-managers/","Data literacy has become an essential skill for professionals in all fields, and data-driven decision making is the key to success for many companies and organizations.  Understanding how to use and apply the right data sets can help you make better decisions for your organization and communicate more effectively with your team."]
["HA126","Harvard","Digital Transformation in Government: Innovating Public Policy & Service","Online",10,12,"2021-11-08","2021-11-19","3800 USD","2021-10-18","https://www.hks.harvard.edu/educational-programs/executive-education/digital-transformation-government","Faculty Chair David Eaves developed an interactive online format while maintaining the main objectives of the Digital Transformation in Government program: understanding how digital technology can enhance operational and policy work, and providing a framework for understanding the digital world. The program will include live sessions on five program days, which will run over two weeks. Through these sessions, you will gain a greater understanding of the multiple ways in which digital platforms, agile management, and user-centered design have an impact on policy and programs — and how they can be leveraged for greater success. You will work collaboratively with your peers to apply your learnings in real time to the digital challenges in your own role. You will have a chance to further engage with Professor Eaves and the cohort through discussions and breakout groups which will augment the live sessions."]
["HA127","Harvard","Measurement, Design, and Analysis Methods for Health Outcomes Research","Online",5,5,"2021-09-20","2021-09-24","2100 USD",null,"https://www.hsph.harvard.edu/ecpe/programs/measurement-design-and-analysis/","Health care systems around the world face growing pressures to provide more effective programs, treatments, and interventions. Health outcomes research is the scientific inquiry that provides the evidence required for optimally developing new therapies, implementing quality of care improvement protocols, and enhancing public health system capacity and capability."]
["HA128","Harvard","Benefit-Cost Analysis","Online",5,5,"2021-09-27","2021-10-01","525 USD",null,"https://www.hsph.harvard.edu/ecpe/programs/benefit-cost-analysis-valuing-life-and-health/","In this short online program, Lisa A. Robinson, a leading Harvard expert on benefit-cost analysis, will aid you in understanding the benefit-cost analysis framework and its application globally. You will learn the methods used for valuing changes in health and longevity, the values recommended for use in high-, middle-, and low-income settings, and the implications of the results. Through interactive presentations, case studies, extensive discussion, and optional office hours, you will develop a deeper understanding of these approaches and of their application."]
["MA268","Massachusetts Institute of Technology (MIT)","Pricing: Using Data to Improve Pricing Performance","Online","self-paced","self-paced","2021-09-29","2021-11-16","2800 USD",null,"https://executive.mit.edu/course/pricing/a056g00000URaaPAAT.html?utm_source=pro_executive_learning&utm_medium=referral&utm_campaign=more_info","This online program will equip you with the skills and understanding to accurately and effectively price new or existing products or services, with a focus on providing economic value to the customer. You’ll learn to adopt a data-driven approach that explores regression analysis, survey techniques, and conjoint analysis. You’ll also discover the limitations of historical data in the context of pricing."]
["CL032","University College London (UCL)","Data Analysis using MATLAB: an Introduction","Online",2,2,"2021-10-11","2021-10-12","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/data-analysis-using-matlab-introduction","You'll learn about importing data, statistical analysis, graphical representation, and inbuilt MATLAB applications. It's suitable for those with little or no experience of MATLAB, or those who want a refresher. You must have a basic knowledge of statistics.\n\n"]
["CL033","University College London (UCL)","R: an Introduction","Online",2,2,"2021-09-21","2021-09-22","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/r-introduction","You'll be introduced to the R interface and the R language in order to conduct statistical analysis - from reading-in your datasets to performing all mainstream statistical tests."]
["CL034","University College London (UCL)","SPSS: an Introduction","Online",2,2,"2021-09-23","2021-09-24","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/spss-introduction","This course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs. Overview\nThis course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs.It's suitable for those with little or no experience of SPSS, or those who want a refresher. A basic knowledge of statistics will be helpful."]
["CL035","University College London (UCL)","Regression Analysis: an Introduction","Online","2+2","2+2","2021-10-04","2021-10-07","275/150 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/regression-analysis-introduction","The main part of the course focuses on the theory behind regression analysis, in particular linear regression, and covers the formulation, interpretation and validation of linear regression models.","An optional extra two days allow delegates hands-on use of a statistical package (SPSS) to see how the theory can be applied to answer a specific research question."]
["CL036","University College London (UCL)","Stata: an Introduction","Online",2,2,"2021-09-30","2021-10-01","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/stata-introduction","This practical workshop will introduce you to the statistical software Stata and how to use it to carry out statistical analysis.You'll learn how to enter and manipulate data, and the basics of analyses and graphs. "]
["UZ004","University of Zürich","Applying Fintech to Sustainable Finance","Online/Zürich, Švajčiarsko",2,2,"2021-10-25","2021-10-26","1700 CHF","2021-09-25","https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/fintech-and-sustainability.html","In this course participants learn about the key concepts and definition of “FinTech”, “Blockchain”, “Artificial Intelligence / Machine Learning” and “Sustainability”. Participants gain an understanding of how different technical tools can be applied to solve sustainability questions. Participants learn how to critically assess the benefit of a combination of the concepts of Sustainability and FinTech and differentiate advantages from potential risks. With the discussion of concrete examples and case studies, students learn where FinTech applications are currently used in sustainable finance and gain the ability to evaluate future trends in the industry.",null,"Case study homework"]
["MU001","McGill University","Analytics for Decision Making","Online",4,4,"2021-11-23","2021-11-26","1995 CAD","2021-11-16","https://store.executive.mcgill.ca/product?catalog=Analytics-for-Decision-Making","The ability to use data to eﬀectively drive decisions is an integral part of modern management. In this seminar, you will learn the theoretical and practical applications of data analytics and how they apply to decision making. You will deepen your understanding of descriptive, predictive, and prescriptive analytics. You will also learn how to use that data to develop insights through a series of exercises and case studies. Finally, participants will gain a deeper understanding of how to make data-driven business decisions within their organization. This course will enable you to be an informed and empowered manager of data. You will leave with a toolkit for making sense of data and using data to make decisions."]
["SM003","University of Southampton","QGIS: Introductory","Online",3,3,"2021-12-07","2021-12-09","425 GBP + VAT",null,"http://www.geodata.soton.ac.uk/geodata/training/","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using a leading Open Source GIS software package, QGIS."]
["SM004","University of Southampton","QGIS: Advanced ","Online",4,4,"2021-12-14","2021-12-17","425 GBP + VAT",null,"http://www.geodata.soton.ac.uk/geodata/training/","Delegates are introduced to advanced analysis techniques using both raster and vector data. The course includes a basic introduction to the PostgresSQL/PostGIS enterprise database as well as the Python programming language. The course is designed for existing users of QGIS that want to expand their knowledge and carry out higher-level analysis."]
["SC001","University of California, Santa Cruz","Data Scientist Specialization","Online","self-paced","self-paced","2021-12-01","2021-12-31","399 USD",null,"https://www.ucsc-extension.edu/courses/data-scientist-specialization-self-paced/","If you already have experience with machine learning, this advanced, five-segment specialization gets you ready for the higher-level data scientist jobs by taking what you know and building on it. You’ll master skills necessary to become a successful data scientist by working on projects designed by industry experts. Learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud."]
["SH004","Swiss School of Public Health","Swiss Epidemiology Winter School 2022: Infectious disease models and their use in the SARS-CoV-2 pandemic","Bern, Švajčiarsko",3,3,"2022-01-17","2022-01-19","2000 CHF",null,"https://www.epi-winterschool.org/courses/","Objectives:\n• To understand the role of infectious disease dynamics for research and health care\n• To become familiar with the main conceptsin infectious disease modelling\n• To use simple and advanced mathematical models to study disease transmission and\ncontrol interventions, with a focus on SARS-CoV-2.",null,"nie"]
["UA003","University of Amsterdam ","Political Economy","Online",12,10,"2022-01-17","2022-01-28","800 EUR","2021-12-15","https://www.uva.nl/en/programmes/winter-courses/political-economy/political-economy.html?origin=Mfr3HEr2STuBlDZU4MWRoA#Dates-tuition-and-deadlines","To what extent does the economy determine the type of policies a government pursues? And how much sway over the economy does a government have? The fields of politics and economics are deeply intertwined: the study of political economy is extremely important in understanding key processes at work in the world today. It can offer insights and trigger inquiry into the dynamics of states and markets, voters and firms and subject such as income inequality, ‘growth’, Brexit or bilateral relations between the United States and China. Join our two-week online winter programme to learn more!"]
["AL001","University of Alberta","Business and Strategy Analysis","Online",3,3,"2022-01-10","2021-01-12","895 CAD",null,"https://ext.ualberta.ca/course/exba5687#top","Business Analysis helps organizations solve problems and capitalize on opportunities by assessing the potential value of solutions, facilitat­ing their implementation, and eval­u­at­ing their per­for­mance. This course explores the var­i­ous ways to apply busi­ness analy­sis with­in orga­ni­za­tions and how to strate­gi­cal­ly iden­ti­fy, assess and select which poten­tial changes should be pur­sued. Stu­dents learn how to devel­op a busi­ness case that includes rel­e­vant infor­ma­tion for exec­u­tives to be able to make informed decisions."]
["SG001","National University of Singapore","Statistics for Business II","Singapur",3,3,"2021-11-22","2021-11-24","S$2700",null,"https://www.iss.nus.edu.sg/executive-education/course/detail/statistics-for-business-ii-/data-science","Over the course of three days, you will explore multiple statistical concepts and learn how to apply them to business use cases. You will work on cleaning and preparing the data for analysis and generating insights. You will experience the use of data visualisation to find answers to business questions. You will learn how to discover correlations in data and to build simple linear regression models. Finally, you will learn about supervised and unsupervised machine learning techniques. Here you will practice building classification trees to predict customer behavior or condition; and using cluster analysis methods to create customer groupings that would lead to more effective customer management and engagement.",null,"nie"]
["SG002","National University of Singapore","Statistics Bootcamp II","Singapur",5,5,"2021-12-06","2021-12-10","S$4000",null,"https://www.iss.nus.edu.sg/executive-education/course/detail/statistics-bootcamp--ii/data-science","The Statistics Bootcamp is more than just an introduction to statistics, it teaches you how to use R, a command driven language for quick visual analytics. In addition, you will be presented with multiple business cases that will be solved in the course of lecturing and hands-on workshops.",null,"nie"]
["SG003","National University of Singapore","Applied Health Econometrics for HTA ","Online",5,5,"2022-01-03","2022-01-07","$2,000",null,"https://hiper.nus.edu.sg/course-sph5422/","This course will provide you with the analytical and quantitative skills required for conducting applied econometric research. You will be exposed to the various methodology used in empirical research found in academic and policy papers. You will also learn to interpret the results of these econometrics models."]
["UG003","University of Groningen","Digital Narrative (winter school)","Groningen, Holandsko",3,3,"2021-11-23","2021-11-25","350 EUR",null,"https://www.rug.nl/education/summer-winter-schools/winter_schools/winter-schools-2021-2022/digital-narrative/","This interdisciplinary winter school with researchers from the humanities, behavioral, and social sciences not only takes stock, but also provides hands-on experiences in narrative analysis. Participants have to prepare themselves by studying reader texts, watching microlectures, and doing homework assignments",null,"nie"]
["UZ005","University of Zürich","Corporate Governance and value-based Management","Zürich, Švajčiarsko",2,2,"2022-01-31","2022-02-01","1700 CHF",null,"https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/corporate-governance-and-value-based-management.html","On the basis of corporate governance theory and corporate law, this course will examine key findings of the empirical literature, and actual examples from the market, with a particular respect to sustainability-related decisions of corporate governance actors. The course will cover the main actors of corporate governance, from shareholders to the board of directors to auditors and regulators.",null,"nie"]
["KC004","King's College London","Drug Development Statistics and Data Management","Online",5,5,"2021-12-13","2021-12-17","2325 GBP","2021-11-01","https://www.kcl.ac.uk/short-courses/drug-development-statistics-and-data-management-1","This module aims to provide a broad understanding of statistics as they apply to medicines development, including those used in clinical trials, to enable a power calculation to be done, to organise clinical trial data and to analyse and report the data. In addition, methods used in drug safety studies including epidemiological approaches and meta-analysis will be taught."]
["MB001","University of Melbourne","Health Program Evaluation: Scoping the Evaluation","Online",4,4,"2021-12-01","2021-12-10","1200 USD",null,"https://study.unimelb.edu.au/find/short-courses/health-program-evaluation-scoping-the-evaluation/","Program planners, designers and implementers are often faced with the task of having to develop an evaluation plan or framework for the program/project that they are working on. This requires scoping the boundary of the evaluation and choosing the most appropriate evaluation questions and approach. Planning, negotiation, program logic modeling and evaluation criteria/indicator selection are integral components of this task. It is in these areas that this course is concentrated. Other areas covered include evaluation purpose, types, and questions; evaluation utilization; choosing outcomes for measurement; and key steps for planning and negotiating the evaluation.","Kurz prebiha v dňoch 3. - 10.12.2021 a dňa 10.12.2021"]
["CL037","University College London (UCL)","Finance and Business Environment (Telecommunications and ICT)","Online/Londýn, Veľká Británia",5,5,"2021-12-13","2021-12-17","2500 GBP","2021-11-29","https://www.ucl.ac.uk/short-courses/search-courses/finance-and-business-environment-telecommunications-and-ict","This five-day online course/module will give you a highly intensive introduction to finance and financial techniques - the aim being to help you effectively manage projects and businesses within the capital-intensive ICT industry (information and communications technology). "]
["CL038","University College London (UCL)","Meta-analysis: an Introduction","Online ",3,3,"2021-11-23","2021-11-25","225 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/meta-analysis-introduction","By the end of the course you should be able to conduct a meta-analysis of your own and interpret the results of meta-analyses published in journal articles.This course takes place online, over two or three mornings (9:30am to 1pm). The third day is an optional practical workshop using R."]
["CR001","Cornel University","Spreadsheet Modeling for Non-Dyson Majors","Online ","self-paced","self-paced","2022-01-03","2022-01-21","4860 USD",null,"https://sce.cornell.edu/courses/roster/aem-2011","AEM2011 will help students understand the dynamics of using Excel to solve optimization problems, forecast future outcomes using assumptions and projections, and evaluate problems that involve uncertainty in order to inform business strategy and quantitative decision-making."]
["CR002","Cornel University","Introductory Microeconomics","Online","self-paced","self-paced","2022-01-03","2022-01-21","4860 USD",null,"https://sce.cornell.edu/courses/roster/econ-1110","Explanation and evaluation of how the price system operates in determining what goods are produced, how goods are produced, who receives income, and how the price system is modified and influenced by private organizations and government policy."]
["CR003","Cornel University","Introductory Macroeconomics","Online","self-paced","self-paced","2022-01-03","2022-01-21","4860 USD",null,"https://sce.cornell.edu/courses/roster/econ-1120","Analysis of aggregate economic activity in relation to the level, stability, and growth of national income. Topics may include the determination and effects of unemployment, inflation, balance of payments, deficits, and economic development, and how these may be influenced by monetary, fiscal, and other policies."]
["CR004","Cornel University","Introductory Statistics","Online","self-paced","self-paced","2022-01-03","2022-01-21","6480 USD",null,"https://sce.cornell.edu/courses/roster/ilrst-2100","Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. Students learn to use statistical software and simulation tools to discover fundamental results. They use computers regularly; the test includes both multimedia materials and a software package. This course does not focus on data from any particular discipline, but will use real-world examples from a wide variety of disciplines and current events."]
["HA129","Harvard","Purpose and Profit: Creating Shared Value—Virtual","Online",10,12,"2021-12-06","2021-12-17","5000 USD","2021-11-29","https://www.exed.hbs.edu/creating-shared-value-virtual/","Mounting social and environmental pressures are reshaping the competitive landscape for companies in every industry. Increasingly, companies are expected to adopt a social purpose and practice stakeholder capitalism, and yet few companies know how to do so in ways that also strengthen their performance. Investors are also paying a premium for ESG leaders, but most companies fail to explain how their sustainability efforts create value for shareholders."]
["AC289","ACREA CR","ANALÝZA ROZPTYLU: Přístupy k odhalování příčin a vlivů","Praha, Česko",2,2,"2021-11-15","2021-11-16","430 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/","Analýza rozptylu (analýza variance, ANOVA) je jednou ze základních statistických metod, která nachází uplatnění ve všech oblastech aplikované statistiky a analýzy dat. Umožňuje odhalit faktory, které ovlivňují chování dané číselné veličiny a posoudit míru jejich vlivu, provést detailní porovnání skupin nebo očistit zkoumaný vztah od vlivu jiné proměnné.",null,"nie"]
["AC290","ACREA CR","KORELAČNÍ ANALÝZA","Praha, Česko",1,1,"2021-11-22","2021-11-22","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","Korelace patří k nejzákladnějším pojmům statistické analýzy dat. Má své přímé aplikace a současně je nutnou podmínkou pro další analytické postupy (regresní a faktorová analýza, hierarchické modely, teorie měření a další). Její předností je jednoduchá aplikace, přehlednost a názornost korelačních měr a intuitivní význam výsledků. Naproti tomu ale mohou jednotlivé míry zkreslit informaci vyjadřovanou daty, nejsou-li uplatňovány korektně podle jejich významu a vlastností.",null,"nie"]
["AC291","ACREA CR","DISKRIMINAČNÍ ANALÝZA","Praha, Česko",1,1,"2021-11-29","2021-11-29","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/diskriminacni-analyza/","Diskriminační analýza je technika klasifikace případů do dvou nebo více skupin pomocí souboru číselných proměnných a z nich odvozených syntetických kritérií. Model poskytuje výstupy pro klasifikaci/rozhodování mezi třídami nominální proměnné, studium závislostí mezi proměnnými a pro komparační analýzu skupin.",null,"nie"]
["AC292","ACREA CR","ZÁKLADY STATISTIKY PRO ANALÝZU DAT","Praha, Česko",3,3,"2021-12-06","2021-12-08","480 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/","Úvodní statistický kurz je uspořádán tak, aby zahrnoval základní témata a nejčastěji užívané metody statistické analýzy dat (popisná statistika, testy hypotéz, korelační a regresní analýza).",null,"nie"]
["AC293","ACREA CR","MODELOVÁNÍ STATISTICKÝCH VZTAHŮ (IBM SPSS AMOS)","Praha, Česko",3,3,"2022-01-10","2022-01-12","540 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/modelovani-statistickych-vztahu/","Kurz nabízí metodologii strukturních rovnic pomocí známého programu IBM SPSS Amos (Analysis of Model Structure). Modelování statistických korelačních i komplexních kauzálních vztahů je prováděno pomocí grafického uživatelského rozhraní, na němž si nakreslíte svůj model pomocí myši. Model je bezprostředně testován a jsou i navrženy jeho změny. Uvažuje-li uživatel více modelů, program je testuje všechny a vybere ty nejlepší. U víceskupinových analýz pátrá program po nejvhodnějším komparačním závěru.",null,"nie"]
["AC294","ACREA CR","REGRESNÍ ANALÝZA I","Praha, Česko",1,1,"2021-11-23","2021-11-23","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","Regresní analýza je metoda statistické analýzy vztahů. Slouží k popisu, vysvětlení a k predikci. Kurz zahrnuje modely jednorozměrné a vícerozměrné lineární regresní analýzy pro číselné proměnné. Důraz je kladen na význam a konstrukci základního modelu, testy hypotéz o jeho parametrech a na výběr vhodných prediktorů pomocí automatických postupů.",null,"nie"]
["AC295","ACREA CR","REGRESNÍ ANALÝZA II","Praha, Česko",1,1,"2021-11-24","2021-11-24","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","Samostatný jednodenní kurz navazuje na látku kurzu Regresní analýza I. Pojednává o ověřování správnosti a vhodnosti lineárního regresního modelu. Rozšiřuje modelové možnosti pro zpřesnění popisu vztahů a nabízí aparát diagnosticko-predikčního charakteru. Pojednává o kategorizovaných prediktorech a analýze jejich vlivu na závislou proměnnou, o nelineárních a interakčních členech v rovnici. Postupy hodnocení modelu pomocí reziduí a charakteristik vlivu jednotlivých pozorování. Predikční role regresních rovnic a ocenění jejich predikční síly tak, aby výsledné rovnice maximálně odpovídaly datové realitě.",null,"nie"]
["AC296","ACREA CR","LOGISTICKÁ REGRESE","Praha, Česko",1,1,"2021-12-14","2021-12-14","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","Logistická regrese je predikčním modelem pro kategorizované veličiny. Nezávislé proměnné mohou být jak číselné, tak i kategorizované. Na základě nalezeného modelu lze provádět predikce pro neznámé případy včetně odhadu pravděpodobnosti výskytu jednotlivých cílových kategorií. Metoda se užívá v bankovnictví, medicíně, marketingu, ekonomii a v technických nebo přírodních vědách."]
["AC297","ACREA CR","ÚVOD DO BAYESOVSKÉ ANALÝZY DAT","Praha, Česko",1,1,"2021-12-13","2021-12-13","245 EUR + DHP",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/uvod-do-bayesovske-analyzy-dat/","Do nedávné doby nebylo možné postupy bayesovské statistiky plnohodnotně využívat, ale díky rozvoji výpočetní techniky a MCMC algoritmů jsou dnes k dispozici i pro běžné počítače. Bayesovské přístupy jsou vhodné zejména tam, kde dochází k replikaci studií a zároveň tam, kde jsou výběrové soubory poměrně malé. Jejich velkou předností je také možnost flexibilní práce s různými typy proměnných (nespojité) a možnost odhadů (imputací) chybějících hodnot. Tento přístup je nicméně zcela univerzální a může být užit místo všech běžně známých procedur frekvenční statistiky. V rámci kurzu se zaměříme především na analogii t-testů, analýzy rozptylu a regresní analýzy za pomoci programu IBM SPSS Statistics ve spojení s R."]
["AE016","AdeptEvents","BUSINESS-ORIENTED DATA MODELLING MASTERCLASS","Online",5,5,"2021-11-22","2021-11-26","1650 EUR",null,"https://adeptevents.nl/event/datamodelling?lang=en","This three-day interactive workshop combines the core content from two popular data modelling offerings by Alec Sharp – Business Oriented Data Modelling and Advanced Data Modelling. Suitable for both new and experienced modellers, this course first explores unique techniques for rapidly developing high-quality models while maintaining the involvement of business professionals. It then provides hands-on practice with skills in more challenging topics – generalisation, recursion, subtyping, modelling time and history, presenting models to non-technical groups, the connection between E-R modelling and dimensional modelling, and many more. In all cases, the underlying philosophy is that a data model is a description of a business, not of a database."]
["CM012","Cemmap","Remote Policy Evaluation methods course","Online",3,3,"2022-01-24","2022-01-26","1994,4 GBP",null,"https://www.cemmap.ac.uk/event/remote-policy-evaluation-methods-course-4/","How can one evaluate whether a government labour market programme such as the Work Programme, or a subsidy to education such as the EMA is actually working? This course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic ‘treatment’ – from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of smoking on own and children’s health.","Kurz prebieha od 8.11.2021 do 28.11.2021 ako self-paced, 29.11. - 1.12.2021 live hodiny, online."]
["CU020","Cranfield University","Statistical Analysis and Trials","Cranfield, Veľká Británia",5,5,"2022-01-10","2022-01-14","1750 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/statistical-analysis-and-trials","This module covers the essential concepts of probability and statistics, including the design and analysis of trials. A range of popular statistical techniques are dealt with, ranging from classical tests based on the normal distribution to non-parametric methods. Emphasis is on the practical use of statistics to improve data analysis and enhance decision making.",null,"nie"]
["CU021","Cranfield University","Crowd sciences and crowd management in practice","Online",1,1,"2022-01-17","2022-01-17","250 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/crowd-sciences-and-crowd-management-in-practice","The recent development of crowd science and new approaches to crowd management are leading to broader thinking about security issues by placing them in their environment. Whether we are talking about the perimeter of a festival, a theater, a stadium or gatherings in the public space, the crowd will behave in each case in interaction with an environment of practice that has to be adequately designed. Thinking about space, anticipating congestion or high-density zones, calculating audience flows in order to guarantee good experience for spectators while providing the best possible security conditions are activities that are needed today in the event management. As a consequence, space design management is a key skill when managing crowds."]
["CU022","Cranfield University","Data Modelling, Storage and Management","Online",5,5,"2022-01-24","2022-01-28","1310 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/data-modelling-storage-and-management","Data Modelling, Storage and Management will lead the student through the different approaches to data modelling. The module will also consider the best practices for storage and retrieval of information and data using both traditional and innovative technologies."]
["TH251","The European Regional Science Association (ERSA)","Applied quantitative methods in Regional Science (Winter school)","Varšava, Poľsko",5,6,"2022-02-13","2022-02-18","250 EUR","2021-10-31","https://spatial.wne.uw.edu.pl/index.php/winterschool2022/","This event will be concentrated around applied spatial quantitative methods such as spatial econometrics, spatial statistics, spatial machine learning, spatio-temporal approach, mapping etc. which are commonly used in economic geography, regional science, as well as in urban and regional planning.",null,"nie"]
["EU311","European Institute of Public Administration (EIPA)","The New Regulations for Financial Management and Control of EU Structural and Cohesion Funds, 2021-2027","Online",3,3,"2021-11-23","2021-11-25","700 EUR","2021-11-16","https://www.eipa.eu/product/financial-management-and-control-eu-structural-and-cohesion-funds/","How do the New Regulations change Financial Management, Financial Control and Audit rules for 2021-2027? What are the implications for Management Verifications in practice? What are the key live issues for Financial Management and Audit of Operational Programmes in the 2014-2020 period, and have these issues been addressed for the new programming period? This course will address these questions and examine the programme and financial templates for the new programmes. There will be a special focus on simplifying management verifications, extending the use of simplified cost options and protecting the audit trail."]
["EU312","European Institute of Public Administration (EIPA)","Implementing the new EU Structural and Cohesion Funds Programmes alongside the Recovery and Resilience Facility (RRF)","Online",3,3,"2021-12-07","2021-12-09","700 EUR","2021-12-01","https://www.eipa.eu/product/eu-structural-cohesion-funds-programmes/","Structural and Cohesion Funds programmes (2021-2027) are presently being finalised and negotiated with the European Commission. They must reflect the new Regulations, address the twin Green and Digital Agendas, and support an urgent and sustainable economic recovery.  The Recovery and Resilience Plans cover many of the same objectives as Cohesion Policy. How can Member States coordinate and demarcate the interventions and generate synergies between the policies and Funds?"]
["EU313","European Institute of Public Administration (EIPA)","Capacity Building in Impact Evaluation: Counterfactual and Theory-Based Approaches","Online",2,2,"2021-12-13","2021-12-14","900 EUR","2021-12-03","https://www.eipa.eu/product/capacity-building-impact-evaluation/","Does your organisation have qualified experts who are willing and able to properly manage evaluation activities? How can you ensure high-quality evaluations? Will evaluation results really provide the evidence required for decision-making, and help to improve policies and programmes? This online course will answer all the above questions, and specifically, will enhance your ability to design, manage and monitor the evaluations conducted by your organisation, irrespective of whether they are supported by EU funds."]
["EK001","Európska komisia","The 2021 EU Agricultural Outlook conference","Online",2,2,"2021-12-09","2021-12-10","0 EUR",null,"https://ec.europa.eu/info/events/sustainable-development-goals/2021-eu-agricultural-outlook-conference-2021-dec-09_sk","The conference will examine what we can expect global agricultural markets to look like in 2030, in light of the political and market uncertainty currently facing the agricultural sector. Will food systems be more resilient following the Covid-19 pandemic? Will the new common agricultural policy effectively encourage farmers across Europe to embrace the green transition?"]
["ES032","Eurostat","Energy statistics: monthly data & prices","Luxembrug, Luxembursko",3,3,"2022-03-08","2022-03-10","0 EUR","2021-01-11","https://ec.europa.eu/eurostat/cros/content/energy-statistics-monthly-data-prices-2022_en","The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Regulation (EC) No 1099/2008 on energy statistics and Regulation (EU) 2016/1952/EC) and its implementation. The main focus will be on concepts, definitions, methodology and data validation on monthly and price questionnaires (including discussions on issues observed in practise).",null,"nie"]
["GE263","GESIS – Leibniz Institute for Social Sciences","Digital Trace Data in Social Science","Online",2,2,"2021-12-09","2021-12-10","480 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x31B571BACE1F4C769B22CE82CCDC615C","This workshop introduces Twitter API and provides multiple examples of collecting and analyzing Twitter data in R.The course will start with general introduction of Twitter's API, available data and limitations. Subsequently, participants will learn how to collect diverse types of Twitter data (e.g., user timelines, tweets including certain keywords). To analyze collecting data, the course will discuss summary statistics of interested features, simple text analysis and network analysis (e.g. retweet network). Along with the data analysis, diverse possibilities for visualization will be demonstrated as well.\nDuring the course, the following R packages will be used: rtweet (to collect data), tidyverse (explore and visualise data), and igraph (analyze and visualize network)."]
["IP039","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ A MANIPULACE S DATY V SQL SERVERU (SQL1)","Online/Praha, Česko",3,3,"2021-12-01","2021-12-03","10900 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-a-manipulace-s-daty-v-SQL-Serveru-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek. Součástí kurzu jsou příkazy jazyka SQL, které slouží pro manipulaci s daty, tvorbu tabulek, vkládání, úpravu a odstraňování dat."]
["IP040","ictPRO","JAZYK SQL – ZÁKLADY MANIPULACE S DATY V SQL SERVERU (SQL1B)","Online/Praha, Česko",1,1,"2022-01-28","2022-01-28","3900 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-manipulace-s-daty-v-SQL-Serveru-SQL1B.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí manipulovat s daty v prostředí programu SQL Server Management Studio (SSMS). Seznámí se s příkazy Transact-SQL (T-SQL) pro tvorbu tabulek, vkládání, úpravu a odstraňování dat."]
["IP041","ictPRO","MS ACCESS - PRÁCE S DATABÁZÍ (ACS1)","Online/Brno, Česko",2,2,"2022-02-17","2022-02-18","4900 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/MS-Access-prace-s-databazi-ACS1.aspx","Kurz je určen k osvojení základů a zásad práce s databází vytvořených v programu MS Access. Seznámíte se v něm se základními objekty databázových souborů a s možnostmi jejich úprav. Po absolvování kurzu se budete orientovat v prostředí aplikace, získáte přehled o databázovém souboru MS Access a naučíte se pracovat s jednotlivými databázovými objekty."]
["IP042","ictPRO","MS ACCESS - TVORBA DATABÁZE (ACS2)","Online/Brno, Česko",2,2,"2022-01-06","2022-01-07","5900 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/MS-Access-tvorba-databaze-ACS2.aspx","Kurz je určen všem uživatelům, kteří chtějí efektivně využívat program MS Access pro správu svých dat. Účastníci kurzu se naučí využívat prostředí programu k úpravám existujících databází, pracovat s jednotlivými objekty databází a vytvářet vlastní databázové aplikace."]
["IP043","ictPRO","SQL SERVER ANALYSIS SERVICES - TABULAR MODEL - ANALÝZA DAT S JAZYKEM DAX (MSQL15)","Online/Praha, Česko",2,2,"2022-01-06","2022-01-07","9900 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/SQL-Server-Analysis-Services-Tabular-Model-analyza-dat-s-jazykem-DAX--MSQL15.aspx","Cílem kurzu je naučit účastníky vytvářet zjednodušenou alternativu OLAP kostek v tabulárních režimu Analysis Services. Účastníci se naučí vytvářet a spravovat serverové modely analytické databáze SSAS - Tabular, dotazovat se v jazyce DAX na tyto modely a optimalizovat jejich výkon. Také se naučí, kdy je vhodnější použít tabulárních model a kdy tradiční OLAP kostku. Součástí kurzu jsou i možnosti reportingu a vizuálního zobrazení dat z tabulárního modelu. Kurz je vhodný pro účastníky, kteří potřebují rychle a jednoduše analyzovat data a implementovat technologii podobnou OLAP kostkám ve firmě, ale chtějí se vyhnout komplikovaným řešením."]
["IP044","ictPRO","SQL SERVER ANALYSIS SERVICES - ANALÝZA DAT PRO POKROČILÉ (MSQL27)","Online/Praha, Česko",3,3,"2021-12-15","2021-12-17","17900 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/SQL-Server-Analysis-Services-analyza-dat-pro-pokrocile-MSQL27.aspx","Cílem kurzu je rozšířit si znalosti o Analysis Services na maximální možnou úroveň pro vytváření pokročilých OLAP řešení. Kurz se věnuje pokročilé práci s dimenzemi i fakty, optimalizací OLAP kostek a MDX dotazů, real-time kostkám, jakož i pokročilé administraci Analysis Services a škálování výkonu. Do detailů se věnuje praktickým problémům, které vznikají při vývoji a nasazení větších OLAP projektů. Je potřebný pro dokonalé zvládnutí Analysis Services a problematiky OLAP kostek."]
["IP045","ictPRO","MS EXCEL - ANALÝZA DAT POMOCÍ POWER PIVOT, POWER QUERY A POWER MAP (MSE6)","Online/Praha, Česko",2,2,"2021-12-09","2021-12-10","7800 CZK + DPH",null,"https://www.skoleni-ict.cz/kurz/MS-Excel-analyza-dat-pomoci-Power-Pivot-Power-Query-a-Power-Map-MSE6.aspx","Cílem tohoto kurzu je seznámit účastníky s doplňky tabulkového kalkulátoru, díky nimž nyní můžete velice rychle zpracovávat miliony řádků z různých databází současně. Kurz je určen těm, kdo zpracovává a analyzuje velké množství dat a potřebuje provádět nad nimi provádět efektivní a rychlé analýzy. Naučíte se spravovat datový model sešitu pomocí doplňku Power Pivot, vytvářet dotazy a transformovat data pomocí doplňku Power Query a tvořit atraktivní prohlídky protorových dat díky nástroji Power Map."]
["IR001","IERI","Item Response Theory and Population Modeling in Large-scale Assessments (Winter Academy)","Online",9,11,"2022-01-11","2022-01-21","250 EUR",null,"https://web.cvent.com/event/904cb231-d270-4d83-8c91-ae87ee28a339/summary","This Academy will cover basic topics related to Classical Test Theory and Item Response Theory and Population Modeling as they relate to large-scale assessments. It will also train participants on the use of IRT and population modeling software to conduct analysis that involve calculating item parameters and person scores. It will review advantages and disadvantages of different IRT models currently in use as well as procedures for setting up data to be analyzed with IRT software.","*do 11.12. early bird 220 EUR"]
["IC026","International Training Centre","PRODUCTIVITY ECOSYSTEMS FOR DECENT WORK: A COURSE FOR POLICY-MAKERS AND PRACTITIONERS","Online",10,12,"2021-12-06","2021-12-17","980 EUR","2021-12-17","https://www.itcilo.org/courses/sme-productivity-course-policy-makers","This training course aims to enhance the skills of policy-makers and practitioners in assessing and designing policies to improve productivity and working conditions in SMEs. The course aims to inspire policy-makers and practitioners to adopt a systemic approach to SME productivity that encompasses an effective combination of macro- and meso-level policies, the creation of a conducive business environment and the strengthening of SME support institutions, together with intervention at the enterprise level. Special attention will be paid to strategies that promote productivity at the corporate level and ways to scale up corporate-level productivity programmes."]
["JV011","Joint Vienna Institute","Balance of Payments and International Investment Position Statistics – Intermediate","Online",10,12,"2022-01-24","2022-02-04","0 EUR","2021-11-28","https://www.jvi.org/courses/course-schedule-2022/course/22IM02.html","This course, presented by the IMF Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims at providing a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6."]
["JV012","Joint Vienna Institute","Competitiveness, Growth and Crisis","Viedeň, Rakúsko",5,5,"2022-02-21","2022-03-04","0 EUR","2021-11-21","https://www.jvi.org/courses/course-schedule-2022/course/22AA02.html","This course addresses issues related to the various facets of competitiveness, and indicators to measure it. Competitiveness is viewed as a broad concept encompassing various levels of analysis at the country, industry and firm levels. The competitiveness indicators considered range from simple productivity indicators at the firm and industry levels to ones measuring a country’s external competitiveness. The importance of inter-industry and global production linkages is highlighted, and the relevance of framework conditions shaping a country’s performance, such as educational systems, institutions and innovation systems, is discussed. Framework conditions include, for example, indicators of institutional competitiveness and monetary policies determining nominal and real exchange rates. Competitiveness rankings regularly published by various international institutions are reviewed.",null,"nie"]
["JV013","Joint Vienna Institute","Gender Budgeting","Viedeň, Rakúsko",4,4,"2022-03-01","2022-03-04","0 EUR","2021-12-05","https://www.jvi.org/courses/course-schedule-2022/course/22IM05.html","This workshop, presented by the Fiscal Affairs Department, provides an intermediate-level approach to gender budgeting, drawing on the IMF’s Public Financial Management (PFM) framework. Gender equality is on the government’s policy agenda in many countries. As the budget system is a primary policy instrument, it can play a central role in implementing governments’ gender policies and goals.",null,"nie"]
["JV014","Joint Vienna Institute","Assessing and Managing Fiscal Risks","Viedeň, Rakúsko",5,5,"2022-03-07","2022-03-11","0 EUR","2021-12-12","https://www.jvi.org/courses/course-schedule-2022/course/22IM06.html","This course, presented by the Fiscal Affairs Department (FAD), forms part of FAD’s Fiscal Risk Work Program, and discusses key institutions that help governments better understand, monitor, and manage risks to public finances. It provides an overview of the key sources of fiscal risks, approaches to analyzing and mitigating them, and institutional arrangements for dealing with them. It provides an overview of FAD’s Fiscal Risk Toolkit, which comprises a range of practical eExcel-based tools to assist countries in analyzing and quantifying their fiscal risk exposures, as well as training on the application of some of the newest tools in the Toolkit. The course also discusses standards for reporting and disclosing fiscal risks – as prescribed in the IMF’s Fiscal Transparency Code.",null,"nie"]
["JV015","Joint Vienna Institute","Financial Sector Surveillance","Viedeň, Rakúsko",10,12,"2022-03-14","2022-03-25","0 EUR","2021-12-19","https://www.jvi.org/courses/course-schedule-2022/course/22IM07.html","This course, presented by the Institute for Capacity Development, introduces participants to key concepts and tools used in the identification and assessment of financial sector vulnerabilities and sources of strength. The course provides a basic toolkit to assess financial sector risks and measure them against existing capital and liquidity buffers in the financial system. The discussions focus on the early identification of macro-financial imbalances and the analysis of the transmission of financial distress across institutions, markets, and economic sectors, with the objective of reducing the likelihood and the severity of financial crises. A combination of lectures and hands-on workshops allows participants to apply essential risk assessment techniques.",null,"nie"]
["JV016","Joint Vienna Institute","Fiscal Frameworks","Viedeň, Rakúsko",10,12,"2022-03-28","2022-04-08","0 EUR","2022-01-02","https://www.jvi.org/courses/course-schedule-2022/course/22IM09.html","This course, presented by the Institute for Capacity Development, starts by reviewing the role of government and the objectives of fiscal policy; revisits essential macrofiscal tools and methodologies; and identifies a country’s fiscal framework as the set of institutions that design and conduct fiscal policy. The course stresses the need for high-quality information, transparency, and responsibility in order to hold governments accountable for their medium- to long-term fiscal objectives. The course concludes with thematic presentations by participants.",null,"nie"]
["JV017","Joint Vienna Institute","Macroeconometric Forecasting and Analysis","Viedeň, Rakúsko",10,12,"2022-03-28","2022-04-08","0 EUR","2022-01-02","https://www.jvi.org/courses/course-schedule-2022/course/22IM10.html","This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation in the estimation of macro-econometric models and their application for nowcasting, forecasting, and policy analysis in central banks, ministries, and public research institutions. The course examines univariate and multivariate econometric time series models, state-space models, and nowcasting techniques as Factor, BRIDGE, and MIDAS models. Each topic includes a lecture that discusses the underlying theory and a workshop with applications using EViews. Participants work in groups on hands-on estimation and forecasting exercises.",null,"nie"]
["JV018","Joint Vienna Institute","Social Insurance, Taxation, and Employment","Viedeň, Rakúsko",5,5,"2022-04-25","2022-04-29","0 EUR","2022-01-30","https://www.jvi.org/courses/course-schedule-2022/course/22IM14.html","This course, presented by the Fiscal Affairs Department, provides an overview of the impact of labor taxation and social Insurance systems on employment outcomes in advanced and emerging European countries, with an emphasis on reform options and associated tradeoffs. Boosting employment and reducing undeclared work are priorities in many advanced and emerging European economies, where labor markets are often constrained by demographic trends, low labor-force participation (particularly among females and young people), and weak productivity growth. Undeclared work remains a significant challenge, leaving many individuals without social insurance benefits and reducing revenue collection. For these reasons, many governments are considering reducing labor taxation to boost employment and reduce the size of undeclared work. This, in turn, generates financing needs for social insurance systems, particularly in contexts where such systems must be strengthened to provide adequate support to workers and households at scale.",null,"nie"]
["MF017","International Monetary Fund","Formulating and Implementing a Medium-Term Debt Management Strategy","Online",4,4,"2022-01-10","2022-01-13","0 EUR","2021-12-03","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/CE/2022/MTDSCE22-05V","This course, presented by the Monetary and Capital Markets Department, aims at building capacity in developing and implementing a sound medium-term debt management strategy (MTDS). Officials are trained on the joint IMF-WB MTDS framework which is useful for illustrating government cost and risk tradeoffs associated with different debt management strategies and for managing the risk exposure embedded in a debt portfolio, in particular, the potential variation in debt servicing costs and its budgetary impact. Officials analyze cost-risk trade-offs of alternative debt management strategies, utilizing the MTDS analytical tool (MTDS AT) developed by the IMF and WB, taking into account the composition of the debt portfolio, macroeconomic indicators, market conditions, potential sources of financing, and the linkages with broader medium-term macroeconomic framework. Officials use a selected strategy to then work on MTDS implementation with an annual borrowing plan template."]
["MF018","International Monetary Fund","Vulnerability Diagnostics (VDS)","Online",9,11,"2022-01-10","2022-01-20","0 EUR","2021-12-03","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/CE/2022/VDSCE22-12V","This course, presented by the Institute for Capacity Development, complements the Macroeconomic Diagnostics (MDS) course by enhancing participants’ ability to assess fiscal, financial, and external vulnerabilities in an integrated fashion, using several diagnostic tools to capture tail risks."]
["MF019","International Monetary Fund","Consumer Price Index-Advanced","Kuvajt, Kuvajt",4,4,"2022-01-24","2022-01-27","0 EUR","2021-12-17","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/CE/2022/CPI-ACE22-07V","This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing weights and sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. ",null,"nie"]
["MF020","International Monetary Fund","Thinking through Central Bank Digital Currency","Online",3,3,"2022-02-01","2022-02-03","0 EUR","2021-12-24","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/CE/2022/CBDCCE22-08V","This course, presented by the IMF's Monetary and Capital Markets Department, aims to provide a framework for balancing pros and cons of CBDC issuance and guiding design options. This course focuses on the high-level CBDC decision-making and project management process. The course is designed to be interactive by using a combination of lectures, case studies/simulations, and panel discussions. Lectures focus on the CBDC decision-making process that should be viewed as dynamic and iterative with multiple feedback loops to gradually evaluate the relevance of CBDC. The self-assessment exercises are based on systematic procedures and cover use cases, pain points, requirements, solution, feasibility, proof of concepts, and pilots. Participants, after gaining a basic understanding of the decision-making process, apply them to a hypothetical country to understand thoroughly the problem to be solved and the full array of solutions. After the hands-on self-assessment experience, results are discussed through group presentations and de-briefings. (Note: The course may be subject to further changes to accommodate remote delivery)."]
["MF021","International Monetary Fund","Topics in MFA/Nowcasting","Online",5,5,"2022-02-21","2022-02-25","0 EUR","2022-01-28","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/AT/2022/WSPAT22-03V","The course will introduce participants to nowcasting methods and to the type of data and techniques that countries can use to develop high-frequency indicators (HFI) using a hands-on approach. The course will cover nowcasting and HFI data sources, two types of modeling approaches (factor models and machine learning), that enable the incorporation of mixed-frequency data indicators to the nowcasts and forecasts of GDP. Using applications to different countries, it will emphasize the following practical aspects: How to adapt to the data context? How to deal with mixed frequencies and delays in the release of data? How to evaluate (and combine) different nowcasting models?"]
["MF022","International Monetary Fund","Selected Issues in the Evolving Financial Regulatory Framework (FRF)","Online",5,5,"2022-02-28","2022-03-04","0 EUR","2021-12-20","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/ST/2022/FRFST22-06V","This course, presented by the Monetary and Capital Markets Department, examines selected issues in the evolving financial regulatory framework. It takes a critical look at the evolving framework for banks and non-bank financial intermediaries. On the banking side, topics include Basel III capital, leverage and liquidity requirements, and on-going regulatory discussions. On the non-bank side, the course covers derivatives, repurchase transactions and securities lending, counterparty risk management, and topical issues such as the role of central banks in collateral markets, among others. The course pays special attention to systemically important financial institutions and the links between banks and other parts of the financial system. Participants are invited to make presentations on selected topics that reflect their country experiences."]
["NS009","NATO School","Intelligence Analyst Course - Critical Thinking and Structured Analysis (CT&SA)","Oberammergau, Nemecko",5,5,"2022-01-17","2022-01-21","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=4&TabId=155&keyword=&code=&startdate=11%2f21%2f2021&enddate=2%2f28%2f2022&exactdatematch=False&durationfrom=1&durationto=4&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","This CT&SA course offers participants a chance to learn a paradigm for critical thinking and explore basic US DIA (Defense Intelligence Agency) approved structured analysis techniques taught by DIA and ADI (Academy for Defense Intelligence) certified instructors.",null,"nie"]
["TI333","Timberlake Consultants","Advances in Causal Inference using Stata","Online",2,2,"2021-11-22","2021-11-23","450 GBP",null,"https://www.timberlake.co.uk/courses/advances-causal-inference-stata-nov21.html","Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata. More specifically, the course will focus on these approaches: (i) Difference-in-differences (DID) with time-varying and time-fixed binary treatment; (ii) the Synthetic Control Method (SCM) for program evaluation, suitable when datasets on many times and locations are available; (iii) models for multivalued and quantile treatment effect estimation."]
["TI334","Timberlake Consultants","Instrumental Variables and Structural Equation Modelling using Stata","Online",2,2,"2021-12-06","2021-12-07","450 GBP",null,"https://www.timberlake.co.uk/courses/instrumental-variables-structural-equation-modelling-stata-dec21.html","This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata. Although IV and SEM are often treated separately in standard courses, they are indeed strictly linked approaches, with IV more focused on a reduced form (IV), and SEM on a structural one. After attending the course, the participant will be able to master articulated causal designs, by identifying, estimating and testing both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error, and simultaneity."]
["TI335","Timberlake Consultants","Stata Winter School Online","Online",6,8,"2021-12-13","2021-12-20","2015 GBP",null,"https://www.timberlake.co.uk/courses/stata-winter-school-2021.html","The Stata Winter School consists of a series of one and two-day courses which can be taken individually or as a whole as required. The School is aimed at students, academics and professionals who want to develop and strengthen their data processing, programming, graphics and statistical skills using Stata. All of the courses are taught interactively using a blend of theory, follow-along demonstrations and exercises.","*dá sa aj iba na konkrétny deň - cena 480 GBP"]
["TI336","Timberlake Consultants","Economic Modelling and Forecasting Using EViews","Online",5,5,"2022-01-17","2022-01-21","1800 GBP",null,"https://www.timberlake.co.uk/courses/economic-modelling-forecasting-eviews-jan22.html","The Economic Modelling and Forecasting using EViews course consists of theory and practical applications. Each day will teach econometrics from an applied perspective and demonstrate techniques using EViews 12 software. This edition features many new econometric methodologies which have been introduced in EViews 12. Specifically: long memory dependence in time series models (ARFIMA and FIGARCH and FIEGARCH), second-generation panel unit roots tests, machine learning methods for model selection….","*dá sa aj iba na konkrétny deň - cena 480 GBP"]
["TI337","Timberlake Consultants","Advanced Machine Learning using Stata - Co-Developed with Lancaster University","Online",2,2,"2022-01-24","2022-01-25","450 GBP",null,"https://www.timberlake.co.uk/courses/advanced-machine-learning-stata-25oct.html","No prior knowledge of machine learning techniques are required to attend this course, as the first session will start from scratch with a fresh introduction to the subject. This course will focus on three specific techniques not covered in the first-part of the course, that is: regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions)."]
["TI338","Timberlake Consultants","Introduction to Generalised Linear Mixed Models using Stata","Online",2,2,"2022-01-26","2022-01-27","450 GBP",null,"https://www.timberlake.co.uk/courses/generalised-mixed-models-using-stata-sep27.html","Mixed models have become increasingly popular, as they have many practical applications. However, the traditional linear mixed model with normally distributed errors may not always be appropriate for modelling discrete response variables, such as binary data and counts. Typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression."]
["TS027","Tstat","TIME SERIES MODELLING AND FORECASTING USING STATA","Online",2,2,"2022-01-20","2022-01-21","675 EUR",null,"https://www.tstattraining.eu/training/time-series-modelling-and-forecasting-stata-ol/","Time series data is nowadays collected for several phenomena in social and empirical sciences. The aim of this course is to show participants how to use Stata to perform analysis, modelling and forecasting of time series. The course provides an overview of methods for analysing, modelling and forecasting the dynamic behaviour of economic time series and offers several practical examples of empirical modelling using real-world data. The course does not require any previous knowledge of Stata, since Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series."]
["TS028","Tstat","ANALYSING MICRO DATA IN STATA","Online",5,5,"2021-12-13","2021-12-21","1685 EUR",null,"https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health."]
["UC004","UNESCO","Policy Forum on open government in education","Online",2,3,"2021-11-16","2021-11-18","0 EUR",null,"http://www.iiep.unesco.org/en/16-18-november-policy-forum-open-government-education-13876","From 16-18 November 2021, decision-makers, researchers, civil society representatives, and development partners can join a virtual Policy Forum on open government in education. By bringing new research to the forefront, the Policy Forum – in English, French, and Spanish – will help policy-makers and programme implementers improve education service delivery and reduce corruption in education."]
["WH006","World Health Organisation","Better Data for Better Health webinar #4: “Integrating gender data in health information systems: challenges, opportunities and good practices”","Online",1,1,"2021-11-25","2021-11-25","0 EUR",null,"https://www.euro.who.int/en/media-centre/events/events/2021/11/better-data-for-better-health-webinar-4-integrating-gender-data-in-health-information-systems-challenges,-opportunities-and-good-practices","On behalf of the Division of Country Health Policies and Systems at WHO/Europe, we are pleased to invite you to a webinar to learn about gender and data. During this session, WHO/Europe will present the publication “Integrating gender data in health information systems: challenges, opportunities and good practices” as part of the webinar series “Better Data for Better Health.” The webinar will take place on Thursday, 25 November from 9:30–10:30 (GMT+2). This event will be in English and Russian."]
["AA003","Aalto University","Sustainability Science Days 2022: Systemic Transformations to Sustainable Futures","Online/Espoo, Fínsko",{"$f":"NETWORKDAYS(G1303,H1303,sviatky!$A$1:$A$15)","v":2},{"$f":"_xlfn.DAYS(H1303,G1303)+1","v":2},"2022-05-18","2022-05-19","TBA",null,"https://www.aalto.fi/en/events/sustainability-science-days-2022-systemic-transformations-to-sustainable-futures","The urgency for systemic sustainability transformations has been here for a long time. Transformations in multiple systems have been ongoing for a while; however, pace of change has been much slower than previously foreseen. We need more understanding of the interlinkages between sectors, actors, geographies, markets, practices and lifestyles as these have significant relevance for the impact and pace of change. "]
["AE022","AdeptEvents","THE DATA-PROCESS CONNECTION","Online",1,1,"2022-03-17","2022-03-17","280 EUR + VAT",null,"https://adeptevents.nl/event/data-process-connection?lang=en","Topics include:\nConcept modelling essentials – things, facts about things, and the policies and rules governing things\n“Guerrilla modelling” – how to get started on concept modelling without anyone realising it\nNaming conventions and graphic guidelines – ensuring correctness, consistency, and readability\nConcept models as a starting point for process discovery\nPractical examples of concept modelling supporting process work, architecture work, and commercial software selection.","The Early Bird rate of € 252,00 expires (*) after 15 February 2022"]
["AE023","AdeptEvents","DATAOPS FOR BETTER AND FASTER ANALYTICS","Online",1,1,"2022-04-07","2022-04-07","280 EUR + VAT",null,"https://adeptevents.nl/event/dataops-for-better-and-faster-analytics?lang=en","This seminar will cover:\n\nThe challenges in current data environments and IT\nWhat DataOps is and how it differs from other approaches\nWhich principles and technologies to focus on initially\nSetting expectations and planning for DataOps maturity.","The Early Bird rate of € 252,00 expires (*) after 8 March 2022. Register now and receive discount!"]
["AE024","AdeptEvents","BUSINESS-ORIENTED DATA MODELLING MASTERCLASS\nBalancing Engagement, Agility, and Complexity","Utrecht, Holandsko",{"$f":"NETWORKDAYS(G1306,H1306,sviatky)","v":3},{"$f":"_xlfn.DAYS(H1306,G1306)+1","v":3},"2022-05-16","2022-05-18","1990 EUR + VAT",null,"https://adeptevents.nl/event/datamodelling?lang=en","This three-day interactive workshop combines the core content from two popular data modelling offerings by Alec Sharp – Business Oriented Data Modelling and Advanced Data Modelling. Suitable for both new and experienced modellers, this course first explores unique techniques for rapidly developing high-quality models while maintaining the involvement of business professionals. It then provides hands-on practice with skills in more challenging topics – generalisation, recursion, subtyping, modelling time and history, presenting models to non-technical groups, the connection between E-R modelling and dimensional modelling, and many more. In all cases, the underlying philosophy is that a data model is a description of a business, not of a database.","The Early Bird rate of € 1.791,00 expires (*) after 16 April 2022."]
["AE025","AdeptEvents","WORKING WITH BUSINESS PROCESSES\nProcess Change in Agile Timeframes","Utrecht, Holandsko",2,2,"2022-05-19","2022-05-20","1450 EUR + VAT",null,"https://adeptevents.nl/event/working-with-business-processes?lang=en#general","Participants will first learn exactly what a “business process” is, the key factors to consider when dealing with them, and the most common pitfalls and how to avoid them. On this foundation, the course moves on to specifying the scope and goals of a business process, modelling the current workflow, assessing it, and applying three critical process redesign techniques.\n\nObjectives:\nOn workshop completion, participants will be able to:\n– Identify a “true” business process, and specify its boundaries and goals\n– Describe the key factors that differentiate process-oriented approaches from functionally-oriented (or organizationally-oriented) approaches\n– Employ a variety of techniques to keep stakeholders involved, and promote “process orientation”\n– Model process workflow at progressive levels of detail using Swimlane Diagrams\n– Stop process modeling at the appropriate point, and move on to other techniques or phases\n– Conduct a structured assessment of a business process\n– Develop a process redesign while avoiding common (and serious!) pitfalls.\n\nKey principles are illustrated throughout with workshop exercises and discussions. Business professionals with responsibility for improving their processes and business analysts needing solid techniques will both benefit from this workshop. The material complements the techniques covered in our Data Modelling workshops, which collectively provide the analyst with a powerful, integrated set of techniques.","The Early Bird rate of € 1.305,00 expires (*) after 20 April 2022."]
["AE026","AdeptEvents","DATA MANAGEMENT FUNDAMENTALS","Online/Utrecht, Holandsko",3,3,"2022-05-30","2022-06-01","1990 EUR / 1600 EUR + VAT",null,"https://adeptevents.nl/event/data-management-fundamentals?lang=en","The DAMA DMBoK2 describes 11 disciplines of Data Management, with Data Governance being at the heart of all of these. As the critical importance of Data Management is further realized, organizations and information professionals are seeking to equip their employees with an internationally recognized professional qualification. The Certified Data Management Professional (CDMP) qualification provides a pathway for the introductory level (Associate) through higher levels of attainment. Central to all of these is the Data Management Fundamentals (DMF) examination which  this course prepares students for."]
["AE027","AdeptEvents","AGILE DATA WAREHOUSE DESIGN & DIMENSIONAL MODELING","Online/Utrecht, Holandsko",3,3,"2022-06-13","2022-06-15","1990 EUR / 1600 EUR + VAT",null,"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en","Agile techniques emphasise the early and frequent delivery of working software, stakeholder collaboration, responsiveness to change and waste elimination. They have revolutionised application development and are increasingly being adopted by DW/BI teams. This course provides practical tools and techniques for applying agility to the design of database schemas – the earliest needed and most important working software for BI.\n\nThe course contrasts agile and non-agile DW/BI development and highlights the inherent failings of traditional BI requirements analysis and data modeling. Via class room sessions and team exercises attendees will discover how modelstorming (modeling + brainstorming) data requirements directly with BI stakeholders overcomes these limitations.","The Early Bird rate of € 1.791,00 expires (*) after 14 May 2022."]
["CM013","Cemmap","Policy Evaluation methods course","self-paced",15,21,"2022-03-07","2022-03-27","924 GBP",null,"https://www.cemmap.ac.uk/event/policy-evaluation-methods-course-6/","his course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic ‘treatment’ – from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of smoking on own and children’s health.\n\nAfter highlighting the ‘evaluation problem’ and the challenges it poses to the analyst, we focus on the main empirical methods to solve it:\n\nNaive non-experimental estimator\nRandomised social experiments\nNatural experiments or instrumental variables\nRegression Discontinuity Design\nRegression analysis\nMatching methods\nBefore-after\nDifference-in-differences\nSynthetic control methods","Kurz je možné absolvovať aj prezenčne počas 2 pracovných dní, konkrétne 28.3.2022 a 29.3.2022."]
["CM014","Cemmap","Reproducible Econometrics Using R","TBA",2,2,"2022-04-25","2022-04-26","240 GBP",null,"https://www.cemmap.ac.uk/event/reproducible-econometrics-using-r-2/","This course will proceed from a state of zero (assumed) prior knowledge of R (www.r-project.org) and the tools used to conduct modern (read reproducible) research to a state of (hopefully) being conversant in R and being able to conduct modern statistical/econometric research in a unified framework. We will begin with the basics of using R (e.g., “Why use R?”, “How do I read my Stata or Excel data into R?”) then progress to an overview of various statistical methods that form the backbone of modern applied research. We will then introduce tools for reproducible research (R Markdown & RStudio) and touch on using github for version control. Extensive examples will be covered and participants are expected to bring their own computer pre-loaded with all necessary software (i.e., R, RStudio, TeX, github, though those without a computer can use RStudio Cloud via a browser instead). A website will be made available to participants where they can access supplementary materials and various resources to help them quickly get up to speed with the material. Those already familiar with R are welcome and ought to benefit as much as those unfamiliar with R."]
["CE184","Center of Excellence in Finance","Government Cash Management: Coordination of Treasury and Central Bank","Ľubľana, Slovinsko",3,3,"2022-04-12","2022-04-14","0 EUR","2022-03-14","https://www.cef-see.org/22-cb06","This workshop focuses on strengthening cash management processes and coordination between ministries of finance (treasuries) and central banks. We will discuss the interactions between cash and debt management, the importance of good cash forecasts, and how these can be improved to support more efficient use of government cash and better borrowing decisions. Special focus will be put on the interrelationship between the ministry of finance and the central bank with their respective roles in managing fiscal and monetary policy. We will also look at the importance of and actions needed for ensuring comprehensive coverage of the treasury single account both from the perspective of the ministry of finance and the central bank."]
["CE185","Center of Excellence in Finance","Risk Management Beyond Theory","Ľubľana, Slovinsko",3,3,"2022-04-05","2022-04-07","0 EUR","2022-03-05","https://www.cef-see.org/22-aud03","This hybrid event will discuss the practical implementation of risk management in the public sector. Starting with the theoretical framing of risk management, we will then look into practical experiences with establishing and implementing risk management functions, taking a closer look at the Dutch experience. The event aims at capturing key recommendations to run effective risk management processes. It will also integrate experience and knowledge shared at related recent CEF activities on the topic of auditing risk management."]
["CE186","Center of Excellence in Finance","Strategic Use of Structural Reforms","Ľubľana, Slovinsko",3,3,"2022-09-14","2022-09-16","0 EUR","2022-08-22","https://www.cef-see.org/22-bpe06","At this event, we will review the position and role of structural reforms outlined in the ERP within the overall strategic planning and budgeting systems of a country. Presented will be the logic and hierarchy of planning documents, and the ERP’s position within it, as well as the link and role of structural reforms, and the integration of structural reforms from the ERP into national budgets. We will also consider linkages with the overarching trends of digital transformation and green transition. The ideas, observations, conclusions and recommendations from this event will serve as a basis for the preparation of Guidelines in 2023."]
["CE187","Center of Excellence in Finance","Macroeconomic Modeling for Open Economies 2","Online",18,24,"2022-02-01","2022-02-24","0 EUR","2022-01-24","https://www.cef-see.org/22-dap01","This learning initiative will be a continuation of the related 2021 online course. It will address dynamic stochastic general equilibrium (DSGE) models and their use in impact analysis. We will introduce more complexities to DSGE models, such as non-linearities and the optimal policy mix, and build on the skills and methods addressed in the first part of the course in 2021. We will also discuss the challenges that participants have experienced in applying their knowledge to practice."]
["CU023","Cranfield University","Digital Business Strategy","Online",5,5,"2022-04-25","2022-04-29","1 310 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/digital-business-strategy","Digital Business Strategy will equip you with the knowledge and skills to develop or review an Information System (IS), Information Technology (IT) and Digital Business Strategy, in order to support an organisation’s business goals and the development of plans to drive forward and manage that strategy within an organisational, professional and legislative framework."]
["CU024","Cranfield University","Why Hydrogen? Why Now? - hydrogen's role in a low carbon and circular society","Online",1,1,"2022-02-15","2022-02-15","185 GBP",null,"https://www.cranfield.ac.uk/courses/short/online/online-hydrogen-in-a-low-carbon-and-circular-society","The masterclass will provide an understanding of the trends for the adoption of hydrogen in our society and economy, the status of the technologies for hydrogen production and where the use of hydrogen can deliver benefits representing strategic knowledge to plan or implement a hydrogen strategy into organisations and businesses."]
["CU025","Cranfield University","Logistics Modelling","Cranfield, Veľká Británia",5,5,"2022-02-21","2022-02-25","1 310 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/logistics-modelling","The aim of this module is to give a general understanding of the principles and techniques of logistics modelling. The emphasis is on the development and application of quantitative models to support logistical analysis."]
["CU026","Cranfield University","Microplastics in Drinking Water - how worried should we be?","Online",1,1,"2022-03-01","2022-03-01","185 GBP",null,"https://www.cranfield.ac.uk/courses/short/online/microplastics-in-drinking-water","This course will provide state-of-the-art knowledge on microplastics in water. You will learn about the occurrence, fate, and transport of microplastics in water treatment processes. We cover sampling strategies and instrumental methods for both quantitative and qualitative monitoring of microplastics. We explain the current quality assurance/control measures needed to ensure sound data acquisition and validation of results.  "]
["CU027","Cranfield University","Cyber Law","Online",5,5,"2022-03-07","2022-03-11","1 310 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/cyber-law","To course will equip you with the awareness and ability to critique different legal and ethical frameworks and factors that need to be considered when designing and delivering cyber operations against a range of adversarial actors or deploying cyber capabilities as part of a Full Spectrum Operation."]
["EC301","European Consortium for Political Research (ECPR)","Case Study Research: Method and Practice","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11347","Day 1\nYou will learn about the landscape of case study designs and identify the design that fits your research question. Starting with a brief discussion of concepts, we will also briefly discuss the role and importance of populations. \n\nDay 2\nYou will learn about the menu of types of cases that you can choose for analysis (typical, most-likely, etc) and how to choose the case you need to achieve your research goal. \n\nDay 3\nWe introduce different types of comparisons, how they relate to the types of cases and their choice, and what the benefits and limits of informed comparisons are. \n\nDay 4\nWe introduce process tracing and learn how it can be used to study mechanisms. This includes a discussion of the pros and cons of different types of sources and their organisation in the research process. \n\nDay 5\nWe arrange all elements in a broader picture and discuss the generalisation challenge in small-n research.\n\n","2 hours of live teaching per day\n10:00 ꟷ 12:00 CET\nOur course will consist of multiple components. \n\nFirst, pre-recorded sessions introduce you to the methodological principles of case study research. The recordings come with small quizzes and sets of questions for self-paced practice. Watch the videos before the course starts. Interactive live online sessions use Zoom, along with tools such as etherpads.\n\nThe live sessions will involve Q&A sessions on the recordings. The main part will be the application of general methodological principles to published case studies and your individual projects. Each live session will last about 180 minutes in total per day."]
["EC302","European Consortium for Political Research (ECPR)","Qualitative Comparative Analysis","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11344","This course introduces you to set-theoretic methods and their application in the social sciences, with a focus on Qualitative Comparative Analysis. \n\nIt starts by familiarising you with the basic concepts of the underlying methodological perspective, among them the central notions of necessity and sufficiency, formal logic and Boolean algebra. From there, we move to the logic and analysis of truth tables and discuss the most important problems that emerge when this analytical tool is used for exploring social science data.\n\nRight from the beginning, you will perform set-theoretic analyses with the relevant R software packages.\n\nWhen discussing set-theoretic methods, our debates will engage on broad, general comparative social research issues, such as case selection principles, concept formation, questions of data aggregation and the treatment of causally relevant notions of time.\n\nWe will draw examples from published applications in the social sciences.","2 hours of live teaching per day\n15:30 ꟷ 17:15 CET"]
["EC303","European Consortium for Political Research (ECPR)","Machine Learning with Big Data for Social Scientists","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11420","This course provides a highly interactive online teaching and learning environment, using state of the art online pedagogical tools. It is designed for a demanding audience (researchers, professional analysts, advanced students) and capped at a maximum of 16 participants so that the teaching team can cater to the specific needs of each individual.The course assumes you have some familiarity with R statistical language and can conduct basic data handling in R (opening data files, working with data frames). If you don’t have this, take the week-one course Introduction to R. \n\nYou should also have basic knowledge of standard statistical analysis in social science, such as linear regression and hypothesis testing. These are covered in courses Introduction to Inferential Statistics and Big Data Collection and Management in R.","2 hours of live teaching per day\n14:00 - 16:00 CE"]
["EC304","European Consortium for Political Research (ECPR)","Working with Concepts","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11361","Concepts are foundational to the social-science enterprise. This course introduces you to two distinct ways to think about and work with them.\n\nOne is the positivist approach to what is called concept 'formation' or 'reconstruction' – the formulation of a technical, neutral vocabulary for measuring, comparing, and generalising.\n\nThe other is an interpretivist approach that focuses on what I call 'elucidation.' Elucidation illuminates the worldviews of the people whom social scientists wish to understand, and the ways in which social scientists’ embeddedness in particular languages, historical eras, and power structures shapes the concepts with which they do their work.","2 hours of live teaching per day\n15:00 - 17:00 CET"]
["EC305","European Consortium for Political Research (ECPR)","Multilevel Structural Equation Modelling","Leuven, Belgicko",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11332","Structural equation modelling (SEM) and multilevel modelling (MLM) are popular analytical methodologies in the social sciences.\nMultilevel modelling allows us to assess data on multiple levels of analysis provided the sample size, on both levels, is sufficient for large-n analysis. Most common applications are international surveys that are starting to approach these sample size requirements. But applications also include within-person designs, regional analyses, students nested within schools, patients nested within hospitals, etc.\n\nStructural equation models combine the power of factor analysis, flushing out measurement error and path analysis which are, in essence, simultaneous regression models considering complex causal structures between our observed variables or factors.\n\nMultilevel structural equation modelling (MLSEM) is a marriage between the two methods in which structures of relationships can be assessed at multiple levels of analysis. While computationally complex, these methods are effectively implemented in a user-friendly way in Mplus.  \n\nIn this course we will go though the most common applications of multilevel structural equation models, with examples in Mplus."]
["EC306","European Consortium for Political Research (ECPR)","Structural Equation Modelling: An Introduction","Leuven, Belgicko",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11333","This course introduces you to the wondrous world of Structural Equation Modelling (SEM).\nWe will focus on the statistical foundation of this approach, the estimation of SEMs (using the R package Lavaan), and the interpretation of SEM results. Using a mixture of prerecorded lectures, interactive sessions and practical exercise, you will cover topics such as latent variable modelling, direct and indirect effect estimation, multigroup analysis and model fit evaluation.","3 hours of live teaching per day\n14:00 ꟷ 17:00"]
["EC307","European Consortium for Political Research (ECPR)","Multilevel Modelling","Leuven, Belgicko",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11427","The course offers an introduction to multilevel regression models for people who have a solid foundation in regression modelling. \nYou will learn the foundations and application of multilevel, hierarchical linear or mixed-effects models, and alternative approaches to solve problems multilevel modelling was designed to solve.","2 hours of live teaching per day\n09:00 ꟷ 11:00 CET"]
["EC308","European Consortium for Political Research (ECPR)","Introduction to R","Leuven, Belgicko",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11339","The goal is to provide an accessible entry into the world of R. The course will enable you to approach the most common analysis tasks in R with confidence. \nWe will cover data cleaning, exploratory data analysis, creating visualisations, and writing entire academic papers using RMarkdown. \nR has an unfortunate reputation as a steep learning curve, but the aim is to dispel this myth and show how a range of recent developments make R not just powerful, but accessible to newcomers.","3 hours of on-campus teaching per day"]
["EC309","European Consortium for Political Research (ECPR)","Critical Discourse Analysis","Leuven, Belgicko",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11349","This course offers a comprehensive introduction to Critical Discourse Analysis (CDA) – and its central, Discourse-Historical Approach – as the key critical, qualitative approaches to analysing discourse within and beyond the field of contemporary politics. \n\nThe course highlights how deploying CDA/DHA can help to critically and systematically analyse and deconstruct discursive dynamics and the recontextualisation of discursive strategies in traditional and online (including social) media and across other modes of political, policy and institutional communication.","3 hours of live teaching per day\n09:00 - 12:00 CET"]
["EC310","European Consortium for Political Research (ECPR)","Advanced Qualitative Comparative Analysis","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11357","If you have good knowledge of all the elements in the Prerequisite knowledge section above, this course will deepen your understanding of the potentials and pitfalls of set-theoretic methods.\n\nThe skills you gain will enable you to be more critical and assertive if and when you choose or reject set-theoretic methods as the most appropriate research method for your research project.\n\nBy the end of this course, you will be able to produce QCA studies of a quality and level of sophistication beyond the current mainstream and thus yield substantive results more compelling for you and your (critical) audience.","2 hours of live teaching per day\n15:30 – 17:15 CET"]
["EC311","European Consortium for Political Research (ECPR)","Qualitative Data Analysis","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11341","This course gives you a solid foundation and applied skills in qualitative data analysis.\nYou will learn the conceptual basis of a strong qualitative research design, different approaches to code qualitative data, techniques to seek patterns across themes and cases, strategies to present qualitative findings convincingly and tips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis in week three.","2 hours of live teaching per day\n11:00 ꟷ 13:00 CET"]
["EC312","European Consortium for Political Research (ECPR)","Qualitative Data Analysis","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11363","This course gives you a solid foundation and applied skills in qualitative data analysis.\nYou will learn the conceptual basis of a strong qualitative research design, different approaches to code qualitative data, techniques to seek patterns across themes and cases, strategies to present qualitative findings convincingly and tips to create a transparent audit trail of your analysis process.\n\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take course on its own, or in preparation for Advanced Qualitative Data Analysis in week three","2 hours of live teaching per day\n08:30 ꟷ 10:30 CET"]
["EC313","European Consortium for Political Research (ECPR)","Interpretive Research Methods","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11381","You will gain a practical understanding of the typical steps of an interpretive research process – from how to formulate an interpretive research question to how to present and document interpretive analyses. \n\nThe course introduces a broad spectrum of interpretive approaches, including narrative methods, discourse analysis, and deconstructive analytics. These approaches provide a good representation of different interpretive strategies, and by understanding their logics and uses, you will be able to select and perform a research strategy that fits your own research question.","2 hours of live teaching per day\n09:30 – 12:00 CET"]
["EC314","European Consortium for Political Research (ECPR)","Online Qualitative Data Collection: Methods, Technology and Ethics","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11346","This course focuses on the use of digital technologies for qualitative data collection, from a conceptual to an applied perspective, including logistical, technical and ethical issues.\n\nIts purpose is to provide hands-on training in online qualitative data collection methods, covering methodological and practical aspects of online focus groups, online interviewing and virtual ethnography (online fieldwork). ","2 hours of live teaching per day\n15:00 ꟷ 17:00 CET"]
["EC315","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11351","You will learn how to use NVivo for conducting four methods of qualitative analysis that are very popular, and widely used, in the social sciences:\n\nqualitative content analysis\nthematic analysis\ncross-case analysis\ngrounded theory\nOn the last day we look at method integration, that is, the possibility to integrate components of the four methods in a single study.","2 hours of live teaching per day\n14:00 ꟷ 16:00 CET"]
["EC316","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11364","You will learn how to use NVivo for conducting four methods of qualitative analysis that are very popular, and widely used, in the social sciences:\n\nqualitative content analysis\nthematic analysis\ncross-case analysis\ngrounded theory\nOn the last day we look at method integration, that is, the possibility to integrate components of the four methods in a single study.","2 hours of live teaching per day\n11:00 ꟷ 13:00 CET"]
["EC317","European Consortium for Political Research (ECPR)","Introduction to Nvivo","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11337","This course teaches the basic and advanced features of NVivo for qualitative data analysis. You will learn to set up an NVivo project, organise a qualitative dataset, manage your literature review, autocode data and code data inductively, seek patterns and identify relationships across themes and cases, and present qualitative findings using visualisations.\n\nThe course uses the latest version of NVivo (version R1) for Mac and Windows. NVivo for Mac does not currently have all the features of NVivo for Windows. If you are a Mac user and want to learn all the features taught on this course, you must attend using a PC.","2 hours of live teaching per day\n08:30 ꟷ 10:30 CE"]
["EC318","European Consortium for Political Research (ECPR)","Python Programming for Social Scientists","Online",{"$f":"NETWORKDAYS(G1338,H1338,sviatky)","v":5},{"$f":"_xlfn.DAYS(H1338,G1338)+1","v":5},"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11340","Python is the most popular programming language of data science, used in natural language processing, machine learning, and artificial intelligence. This five-day Python programming course is designed for social scientists who would like to conduct data collection, analysis and modelling with Python. \n\nThe course focuses on hands-on exercises and practical tips to help you start your journey in the world of Python. Since this course covers a wide variety of topics, you are required to complete homework after class from Monday to Thursday.","2 hours of live teaching per day\n10:00 ꟷ 12:15 CET"]
["EC319","European Consortium for Political Research (ECPR)","Python Programming for Social Scientists","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11366","Python is the most popular programming language of data science, used in natural language processing, machine learning, and artificial intelligence. This five-day Python programming course is designed for social scientists who would like to conduct data collection, analysis and modelling with Python. \n\nThe course focuses on hands-on exercises and practical tips to help you start your journey in the world of Python. Since this course covers a wide variety of topics, you are required to complete homework after class from Monday to Thursday.","2 hours of live teaching per day\n10:00 ꟷ 12:15 CET"]
["EC320","European Consortium for Political Research (ECPR)","Introduction to Inferential Statistics","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11362","Quantitative data is becoming increasingly available, and publications are making the use of it more prevalent in political science. This course offers you the necessary tools to engage in and become an informed consumer of quantitative research. The goal is to teach you basic inferential statistical techniques used in political science research, allowing you to progress to more advanced techniques.","2 hours of live teaching per day\n10:00 ꟷ 12:00 CET"]
["EC321","European Consortium for Political Research (ECPR)","Survey Design","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11359","Everyone nowadays can run a survey, especially with the help of online plattforms. However, not everyone can conduct one that complies with best practice and standards in the field to ensure high quality data is collected. This course teaches you how to design surveys for various outcomes, target groups and constructs, by drawing on the Total Survey Error (TSE) framework.","2 hours live teaching per day\n10:00 ꟷ 12:00 CET"]
["EC322","European Consortium for Political Research (ECPR)","Applied Regression Analysis: Estimation, Diagnostics, and Modelling","Online",5,5,"2022-02-07","2022-02-11","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11422","This course offers an introduction to regression analysis using R. You will learn the classical theory of Ordinary Least Squares (OLS) regression, as well as non-linear regression techniques. We will use a variety of data and models to show when and how regression can be useful in policy analysis as well as in other contexts.","2 hours of live teaching per day\n10:00 - 12:00 CET"]
["EC323","European Consortium for Political Research (ECPR)","Applied Regression Analysis: Estimation, Diagnostics, and Modelling","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11424","This course offers an introduction to regression analysis using R. You will learn the classical theory of Ordinary Least Squares (OLS) regression, as well as non-linear regression techniques. We will use a variety of data and models to show when and how regression can be useful in policy analysis as well as in other contexts.","2 hours of live teaching per day\n10:00 - 12:00 CET"]
["EC324","European Consortium for Political Research (ECPR)","Multivariate Statistical Techniques for Comparing Countries","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11365","The course offers an introduction to the main statistical techniques used to analyse cross-national comparative surveys data. \n\nIts main goal is to teach you how different statistical methods treat the ‘country effect’: how statistical models (linear regression, logit models, loglinear models, multilevel regression models), scaling techniques (from simple methods to complex factorial techniques) or data reduction methods (factor and PCA analysis) test for the ‘invariance’ of the relationship between variables across countries. \n\nThe course has two key points:\n\nIt offers a reasonable level of formalisation, as much as needed to understand the methods\nIt makes links between the different methods and the learning of complementarities between methods. ","Minimum of 2 hours of live teaching per day\n09:30 ꟷ 12:30 CET"]
["EC325","European Consortium for Political Research (ECPR)","Panel Data Analysis","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11335","This course focuses on panel data models that are estimated with OLS, namely linear models for dependent variables that are continuous or can be reasonably assumed to be continuous.\n\nAlthough the basic concepts and ideas also apply to models designed for binary or ordinal dependent variables such as probit or logit, these models are complicated by maximum likelihood estimation (MLE) and require a different set of foundations.\n\nDue to limited course hours and the complexity of MLE, we won't cover panel data models for dependent variables that are non-continuous, such as fixed effect logit and 2SLS (IV) probit models.","2 hours of live teaching per day\n09:30 ꟷ 11:30 CET"]
["EC326","European Consortium for Political Research (ECPR)","The Statistics of Causal Inference","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11342","This course introduces you to the principles, logic and perquisites of causal inference. Using the potential outcomes framework, together with elements from Pearl's Directed-Acyclic-Graph treatment of causality, it aims to familiarise you with design-based approaches to causal inference. We will try to set best practices on how to think about, and discuss, causal effects.","2 hours of live teaching per day"]
["EC327","European Consortium for Political Research (ECPR)","Agent-Based Modelling and Simulation in Political Methodology","Online",5,5,"2022-02-14","2022-02-18","TBA",null,"https://ecpr.eu/Events/Event/PanelDetails/11429","This course introduces you to the definition, philosophy, principles, and perquisites of agent-based models and systems (ABMS). Using the NetLogo framework, together with elements from OpenABM model database, it aims to familiarise you with the design and applications of ABMS in political science. We will try to introduce you to the most interesting approaches to ABMS in political science, and provide the best concepts and practices on how to think about and use ABMS in your research.","2 hours of live teaching per day\n16:00 - 18:00 CET"]
["EU314","European Institute of Public Administration (EIPA)","Introductory and Practitioners’ Seminar: European Public Procurement Rules, Policy and Practice","Online",4,4,"2022-03-08","2022-03-11","1 400 EUR","2022-02-28","https://www.eipa.eu/courses/product-european-public-procurement-4-days/","This comprehensive online seminar will provide you with an understanding of the principles and procedures of European public procurement policy, focusing on the Public Procurement Directives and relevant case law. You will be guided through the Public Procurement Directive 2014/24/EU and the Utilities Directive 2014/25/EU. During the seminar you will receive insights into the application of professional procurement practices.","Early bird 20% off\nRegister before 11 Jan 2022"]
["EU315","European Institute of Public Administration (EIPA)","Understanding EU Decision-Making: Principles, Procedures, Practice (+ preliminary module)","Online",7,9,"2022-03-24","2022-04-01","1 050 EUR","2022-03-17","https://www.eipa.eu/courses/eu-decision-making-course-module/","TBA","Early bird 20% off\nRegister before 27 Jan 2022"]
["GE264","GESIS – Leibniz Institute for Social Sciences","Research Design in the Social Sciences","Online",31,43,"2022-02-04","2022-03-18","1 200 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x286AFE8CC1F44D7F919CEB59B99BB547","This workshop is designed to help PhD students to plan and conduct their quantitative research in a robust fashion. The process of an innovative dissertation project involves a large variety of decisions with regard to the use of appropriate theories and methods. Every successful research project starts out with a thorough and critical literature review, followed by the formulation of a well-chosen and clear research objective. Once an overarching research question has been identified, the researcher develops a coherent theoretical framework and elaborates on the expected mechanisms subsequently. As there is no gold standard or best practice for the choice of methodology, this course has a strong emphasis on the various techniques of data collection and data analysis. Importantly, the discussion of these techniques will involve ethical considerations and an evaluation of the anticipated strengths and weaknesses of a chosen empirical design. Based on a number of hands-on individual and group exercises, PhD students anticipate the different stages of their dissertation research step by step, and where necessary evaluate and revise decisions.","This workshop is a recurring event that extends over a total of 4 days, spread over 7 weeks.\nThe following dates are scheduled:\n04.02.2022\n18.02.2022\n04.03.2022\n18.03.2022"]
["GE265","GESIS – Leibniz Institute for Social Sciences","Introduction to R for Quantitative Social Science","Online",3,3,"2022-02-16","2022-02-18","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xF76737AA77DE460F8901F3E2A8CB83E6","The purpose of this workshop is to (a) familiarize participants with the problems and pitfalls missing data pose to data analysts, (b) to discuss the pros and cons of various approaches to analyze incomplete empirical data (including multilevel data), (c) to demonstrate the application of the most important and widely used missing data tools in R (e.g. norm, pan, jomo, mice), so that having successfully completed that workshop, participants will be able to select and apply a missing data strategy that is well suited to their individual problem at hand.\n "]
["GE266","GESIS – Leibniz Institute for Social Sciences","Applied Multiple Imputation","Online",3,3,"2022-02-16","2022-02-18","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xF76737AA77DE460F8901F3E2A8CB83E6","The purpose of this workshop is to (a) familiarize participants with the problems and pitfalls missing data pose to data analysts, (b) to discuss the pros and cons of various approaches to analyze incomplete empirical data (including multilevel data), (c) to demonstrate the application of the most important and widely used missing data tools in R (e.g. norm, pan, jomo, mice), so that having successfully completed that workshop, participants will be able to select and apply a missing data strategy that is well suited to their individual problem at hand.","Participants use their own computer / laptop and should have R (www.r-project.org) and RStudio (desktop version, https://www.rstudio.com/products/rstudio/) already installed. We will install additional R packages during the workshop. Participants are encouraged to bring their own data. There will be time during the workshop to discuss individual missing data problems!"]
["GE267","GESIS – Leibniz Institute for Social Sciences","Grounded Theory Methodology","Online",2,2,"2022-02-28","2022-03-01","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x31F174CB35894D999B7C398404594AFD&subID=0xBF81A8E92A68407FACFCC3AF23B76A2C","Der Workshop hat zum Ziel, die Grundideen und  Strategien der Grounded-Theory-Methodologie (GTM) eine der am weitesten verbreiteten  qualitativen Forschungsmethodologien zu vermitteln und hierbei auch  unterschiedliche Positionen zur GTM vorzustellen und zu diskutieren. \nOrientiert an den Fragen und dem Bedarf der Teilnehmenden werden die wesentlichen Konzepte und Schritte u.a. Theoretische  Sensibilität; Offenes, Axiales und Selektives Kodieren; Theoretisches Sampling  und Theoretische Sättigung behandelt und in Übungen erprobt. \nMaterial der  Teilnehmenden wird auf Wunsch gerne berücksichtigt und besprochen.","Kurz prebieha v nemčine."]
["GE268","GESIS – Leibniz Institute for Social Sciences","Agent-based Modelling in the Social Sciences","Online",5,5,"2022-03-07","2022-03-11","1500 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x31F174CB35894D999B7C398404594AFD&subID=0xBF81A8E92A68407FACFCC3AF23B76A2C","Agent-based computational modeling (ABCM, or often just ABM) increasingly attracts social scientists as a tool for unravelling the complex dynamics which often underlie puzzling social phenomena such as segregation, cultural diversity, opinion polarization, or collective action. ABCM is an approach for theory elaboration that combines analytic precision, ability to capture complex micro-macro interactions in a computational model, and flexibility to accommodate empirically realistic assumptions. This course gives an introduction to ABCM for social scientists, focusing on its use for theory building and on best practices for systematic experimentation and analysis of models. In tutorials accompanying the lectures, participants get a “hands-on” introduction to software tools specifically designed for ABCM of complex (social) dynamics. Participants learn to build ABCM from scratch for a range of core domains in the social sciences, including segregation, cooperation, cultural diversity, and opinion polarization and how to systematically experiment with these models for gaining a deep understanding of them."]
["GE269","GESIS – Leibniz Institute for Social Sciences","Policy Modelling","Online",5,5,"2022-03-14","2022-03-18","1 500 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x31F174CB35894D999B7C398404594AFD&subID=0x7F7282EF9FA246288A33241E2996C48C","This course is about policy modelling with a focus on complexity issues. Policy modelling means to identify areas that need intervention, to specify the desired state of the target system, to find the regulating mechanisms, to design policy and its implementation, and to control and evaluate the robustness of interventions. The methodological difficulty hereby is to bridge the gap between policy practice, often expressed in qualitative and narrative terms, and the scientific realm of formal models. Furthermore, policymaking in complex social systems is not a clear-cut cause-effect process but characterised by contingency and uncertainty. To take into account technological, social, economic, political, cultural, ecological and other relevant parameters, policy modelling can be enhanced and supported by new ICT-oriented research initiatives. Reviewing the current state-of-the-art of policy context analysis such as forecasting, foresight, backcasting, impact assessment, scenarios, early warning systems, and technology roadmapping, the need for policy intelligence dealing with complexity becomes more and more obvious. This course will introduce the participants to complexity sensitive computational methods for policy modelling, with a particular focus on agent-based modelling (ABM)."]
["GE270","GESIS – Leibniz Institute for Social Sciences"," Using Simulation Studies to Evaluate Statistical Methods","Online",5,5,"2022-03-21","2022-03-25","1 500 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x31F174CB35894D999B7C398404594AFD&subID=0xAC89D953F1FA461EA1DBBC6B0A8E704D","Simulation studies are computer experiments that generate data by pseudo-random sampling. The aim of a simulation study is to understand the statistical properties of methods and to compare different methods. They are particularly useful when analytic results are not available. As such, simulation studies are a key tool for both methodological and applied quantitative researchers. To produce a meaningful simulation study, careful thought is required. This five-day course outlines the rationale for using simulation studies and offers guidance for design, execution, analysis, reporting, and presentation. The course will be practically focused: so concepts will be described in terms of examples, tested out, and there will be opportunities for critical discussion of published simulation studies or those being planned by participants. The course is 'bilingual', with computer code to support R and Stata users, with one lecturer expert in each."]
["GE271","GESIS – Leibniz Institute for Social Sciences","Analyzing PIAAC Data with Structural Equation Modeling in Mplus","Mannheim, Nemecko",2,2,"2022-03-22","2022-03-23","0 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x13F8EDFC3EB143B7B946C8FDDE2D1BBD","Structural equation modeling (SEM) represents a statistical approach to disentangle the relationships among latent and/or manifest variables, across groups, over time, and at different analytical levels. The potential of SEM has been recognized in many areas, including educational sciences, sociology, psychology, and business. This workshop provides an introduction to the principles and procedures of basic and more advanced SEM in the context of the international large-scale assessment PIAAC. Specifically, the following topics are covered: (a) Principles of structural equation modeling (model specification, identification, estimation, and evaluation), (b) Measurement models and confirmatory factor analysis, (c) Measurement invariance testing with few and many groups (including multi-group CFA, multilevel CFA, and the alignment method), and (d) Structural regression and indirect effects models (including multi-group and multilevel SEM).Participants can also present their own research or research ideas using PIAAC data and receive feedback on how to improve the analysis."]
["GE272","GESIS – Leibniz Institute for Social Sciences","Causal Mediation Analysis","Mannheim, Nemecko",2,2,"2022-04-04","2022-04-05","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x0027C3224B2B49F1BA2E737B0C2431D0","This course uses graphical causal models and counterfactual definitions of direct and indirect effects to make transparent the conditions under which mediation analysis yields valid conclusions. In addition to the discussion of classic approaches to mediation the course also introduces modern regression-based methods of causal mediation analysis as well as formal sensitivity analysis. Each section of the course is accompanied by practical exercises, including the estimation of direct and indirect effects in Stata and R. As the course concludes, interested participants will have the opportunity to present their own mediation analysis and discuss the implications of causal mediation analysis for their own research. Alternatively, further topics like multiple mediators, time-varying mediation, or alternative estimation approaches will be discussed."]
["GE273","GESIS – Leibniz Institute for Social Sciences","Applied Data Visualization","Online",4,4,"2022-05-03","2022-05-06","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA289B6B7BFCC4A60AAAF5B188B3BA71E","The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings."]
["GE274","GESIS – Leibniz Institute for Social Sciences","Introduction to Event History Analysis","Mannheim, Nemecko",3,3,"2022-05-04","2022-05-06","900 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x2216AEF597EB4976B2743C3CA61AF217","The workshop will provide a comprehensive methodological and practical introduction to event history analysis. Special attention will be devoted to applications in life course research being concerned with time-dynamic modeling of social processes. After clarifying basic concepts like states, time, event, and censoring, descriptive approaches like life-tables and Kaplan-Meier estimation are discussed. Both continuous-time and discrete-time methods as well as parametric and semi-parametric regression models are introduced. Accounting for time-dependent covariates and time-varying effects are major features of survival models and will be discussed in detail. In addition, the workshop will cover a series of advanced topics like statistical inference with survival methods and survey data, multi-episode data, competing risk models, multilevel survival analysis, comparison of effects across models and groups, as well as effective visualization of model results. Substantial applications from sociological and demographic research will be used for illustration. Moreover, the software package Stata will be used throughout the workshop and exercises will help to deepen the acquired knowledge. Moreover, participants are encouraged to discuss their own work."]
["GE275","GESIS – Leibniz Institute for Social Sciences","Egocentric Networks: Theory, Methods, and Applications","Mannheim, Nemecko",3,3,"2022-05-17","2022-05-19","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x41EC3FAAB4EE4AB89D814C3207D4EAF5","This workshop introduces personal social network analysis for social scientists. It is meant to be a practical guide for people interested in conducting their own personal social network study. We will first cover the basic concepts of the personal network approach, including common assumptions and theories in social network research. We will further discuss different name generators and name interpreters as well as ways to measure network structure and try out specific personal network software (e.g., EgoNet, Network Canvas). Participants are invited to present and receive feedback on their research ideas on Day 3."]
["GE276","GESIS – Leibniz Institute for Social Sciences","Data Management, Advanced Programming and Automation using Stata","Mannheim, Nemecko",2,2,"2022-05-23","2022-05-24","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xFA9D7E9331744118AA5A38D291A95616","During the workshop, participants will learn how to efficiently handle problems of data management with Stata, and how to avoid repetition by automating (and programming) tasks. The workshop is not an introduction to Stata, but will feature “best practice” of Stata usage in order to modify existing do-files (or create new ones) to be reproducible, maintainable, and efficient. The tips and tricks will refer mainly to data preparation and management, but they can also be used for automation of data analysis. The workshop will present some ideas about these topics, but focus on the interactive work where participants shall learn producing efficient Stata syntax by themselves."]
["GE277","GESIS – Leibniz Institute for Social Sciences","Comparative Research with Confirmatory Factor Analysis/SEM","Kolín, Nemecko",2,2,"2022-06-23","2022-06-24","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0x2C4E7FC447E64105A40A205E0CC0CC5D","The course provides insight to the procedures of testing measurement invariance using the R package lavaan (Rosseel, 2012) and data from the European Social Survey (ESS) on human values and perceived threat due to immigration (Davidov et al., 2020). Optionally, and as a supplement to the methods of testing exact invariance, the alignment optimization procedure (Asparouhov & Muthen, 2014) will be illustrated as an example of approximate invariance."]
["IP046","ictPRO","PYTHON - ZÁKLADY PROGRAMOVÁNÍ","Online/Brno, Česko",3,3,"2022-03-02","2022-03-04","13 189 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat."]
["IP047","ictPRO","PYTHON - POKROČILÉ PROGRAMOVÁNÍ ","Online/Brno, Česko",3,3,"2022-03-16","2022-03-18","15 609 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-pokrocile-programovani-PYTH2.aspx","Už umíte psát jednoduché programy v Pythonu a chcete svoji dovednost upevnit a získat dobré programátorské návyky? Python je objektově orientovaný programovací jazyk, který se velmi dobře integruje s dalšími nástroji. Python můžete použít k tvorbě všechno od drobné automatizace a skriptů až po rozsáhlé systémy."]
["IP048","ictPRO","DATOVÁ ANALÝZA V PYTHONU","Online/Brno, Česko",2,2,"2022-03-10","2022-03-11","11 858 CZK",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx","Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech.."]
["IP049","ictPRO","PRINCE2® FOUNDATION","Online/Brno, Česko",3,3,"2022-04-04","2022-04-06","27 869 CZK",null,"https://www.skoleni-ict.cz/kurz/PRINCE2-Foundation-PRNC1.aspx","Účelem tohoto certifikačního školení PRINCE2 Foundation je seznámit stávající či budoucí projektové manažery či jiné zájemce s flexibilní a snadno použitelnou metodikou projektového řízení pomocí PRINCE2. Kurz seznámí účastníky jak se základy této metodiky PRINCE2, tak i s jejími klíčovými principy.\nCena vlastního kurzu je 13.900 Kč na osobu. V ceně jsou všechny potřebné školící materiály a další naše služby spojené s péčí o účastníky. Certifikační zkouška AXELOS® PRINCE2 Foundation stojí dalších 5.000 Kč na osobu včetně certifikátu AXELOS®."]
["IP050","ictPRO","PRINCE2® PRACTITIONER","Online/Brno, Česko",2,2,"2022-05-05","2022-05-06","30 137 CZK",null,"https://www.skoleni-ict.cz/kurz/PRINCE2-Practitioner-PRNC2.aspx","Kurz PRINCE2 Practitioner navazuje na kurz PRINCE2 Foundation. Představuje certifikační kurz projektového řízení, který je zakončen mezinárodní zkoušku PRINCE2 Practitioner."]
["IP051","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ A MANIPULACE S DATY V SQL SERVERU","Online/Brno, Česko",3,3,"2022-04-20","2022-04-22","13 189 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-a-manipulace-s-daty-v-SQL-Serveru-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek. Součástí kurzu jsou příkazy jazyka SQL, které slouží pro manipulaci s daty, tvorbu tabulek, vkládání, úpravu a odstraňování dat."]
["IP052","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ V SQL SERVERU","Online/Brno, Česko",{"$f":"NETWORKDAYS(G1370,H1370,sviatky)","v":2},{"$f":"_xlfn.DAYS(H1370,G1370)+1","v":2},"2022-04-20","2022-04-21","8 954 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-v-SQL-Serveru-SQL1A.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek."]
["IP053","ictPRO","JAZYK SQL – ZÁKLADY MANIPULACE S DATY V SQL SERVERU","Online/Brno, Česko",1,1,"2022-04-22","2022-04-22","4 719 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-manipulace-s-daty-v-SQL-Serveru-SQL1B.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí manipulovat s daty v prostředí programu SQL Server Management Studio (SSMS). Seznámí se s příkazy Transact-SQL (T-SQL) pro tvorbu tabulek, vkládání, úpravu a odstraňování dat."]
["IP054","ictPRO","JAZYK SQL - POKROČILÉ TECHNIKY A PROGRAMOVÁNÍ V SQL SERVERU","Online/Brno, Česko",2,2,"2022-02-24","2022-02-25","9559 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-pokrocile-techniky-a-programovani-v-SQL-Serveru-SQL2.aspx","Cílem kurzu je rozšíření znalostí o pokročilou programovatelnost SQL Serveru. Účastníci se naučí vytvářet a pracovat s pohledy, zapsat a používat vlastní uživatelské funkce, seznámí se s pokročilejšími možnostmi práce s daty jako jsou skórování dat, triggery a stored procedury, CTE a rekurzivní dotazy. Dozví se jak využít transakce pro vyšší bezpečnost a spolehlivost zpracování dat."]
["MF023","International Monetary Fund","Fiscal Policy Analysis","Online",10,12,"2022-04-18","2022-04-29","0 EUR","2022-03-25","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/AT/2022/FPAAT22-05V","This course, presented by the Institute for Capacity Development, provides an overview of the concepts and techniques used to analyze how fiscal policy can help ensure macroeconomic stability and sustainable long-term growth. This hands-on course is built around the core macrofiscal topics needed to analyze fiscal policy. The learning units include general empirical findings, Microsoft Excel-based workshops, case studies, and selected topics of regional interest. The course will be of interest to officials who wish to better understand how fiscal policy can affect the economy and the related tools of analysis."]
["MF024","International Monetary Fund","Model-Based Monetary Policy Analysis and Forecasting","Online",10,12,"2022-05-23","2022-06-03","0 EUR","2022-01-31","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/ST/2022/MPAFST22-15V","This course, presented by the Institute for Capacity Development, provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary analysis and forecasting. It emphasizes analysis of monetary policy responses to macroeconomic imbalances and shocks. Participants are provided with the tools necessary to develop or extend the model to fit their own monetary policy framework. Country case studies are used to reinforce participant understanding and to help them compare and assess a variety of possible experiences."]
["MF025","International Monetary Fund","Fiscal Analysis and Forecasting","Online",10,12,"2022-06-20","2022-07-01","0 EUR","2022-01-21","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/ST/2022/FAFST22-01V","This course, presented by the Fiscal Affairs Department, offers participants a more extensive exposure to fiscal issues and the macroeconomic effects of fiscal policy than is possible in a standard course on Financial Programming and Policies. Separate lectures are devoted to fiscal accounts and analysis, fiscal forecasting, fiscal sustainability, how the fiscal sector relates to the rest of the economy, fiscal dimensions in financial programming, and governance and fiscal risk management issues. Workshops take up about half the course time. These cover fiscal accounting and analysis, fiscal forecasting and sustainability, and design of a fiscal baseline for a case study country."]
["MF026","International Monetary Fund","Macroeconometric Forecasting and Analysis","Online",10,12,"2022-07-11","2022-07-22","0 EUR","2022-03-11","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/ST/2022/MFAST22-21V","This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation in the estimation of macro-econometric models and their application for nowcasting, forecasting, and policy analysis in central banks, ministries, and public research institutions. The course examines univariate and multivariate econometric time series models, state-space models, and nowcasting techniques as Factor, BRIDGE, and MIDAS models. Each topic includes a lecture that discusses the underlying theory and a workshop with applications using EViews. Participants work in groups on hands-on estimation and forecasting exercises."]
["MF027","International Monetary Fund","Model-Based Monetary Policy Analysis and Forecasting","Viedeň, Rakúsko",10,12,"2022-11-28","2022-12-09","0 EUR","2022-09-04","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/JV/2022/MPAFJV22-39","This course, presented by the Institute for Capacity Development, provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary policy analysis and forecasting. It emphasizes analysis of monetary policy responses to macroeconomic imbalances and shocks. Participants are provided with the tools necessary to develop or extend the canonical model to fit their own monetary policy framework and selected features of their country’s economy. Country case studies are used to reinforce participant understanding and to help them compare and assess a variety of possible experiences."]
["MF028","International Monetary Fund","Fiscal Policy Analysis","Viedeň, Rakúsko",10,12,"2022-11-28","2022-12-09","0 EUR","2022-09-04","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/JV/2022/FPAJV22-38","This course, presented by the Institute for Capacity Development, provides an overview of the concepts and techniques used to analyze how fiscal policy can help ensure macroeconomic stability and sustainable long-term growth. This hands-on course is built around the core macrofiscal topics needed to analyze fiscal policy. The learning units include general empirical findings, Microsoft Excel-based workshops, case studies, and selected topics of regional interest. The course will be of interest to officials who wish to better understand how fiscal policy can affect the economy and the related tools of analysis."]
["MF029","International Monetary Fund","Model-Based Monetary Policy Analysis and Forecasting","Online",50,68,"2022-02-07","2022-04-15","0 EUR","2022-03-04","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/OL/2022/MPAFxOL22-118","This online course, presented by the Institute for Capacity Development, introduces participants to quarterly projection macroeconomic models developed as a core of FPAS (Forecasting and Policy Analysis Systems) and how to implement the key canonical quarterly projection model (QPM) equations in a macroeconomic modeling software. This course uses detailed country data highlighting an inflation targeting central bank, for hands-on filtration and calibration exercises."]
["IC027","International Training Centre","E-LEARNING ON SOCIAL HEALTH PROTECTION - ADDRESSING INEQUITIES IN ACCESS TO HEALTH CARE","Online",35,47,"2022-02-21","2022-04-08","965 EUR","2022-02-07","https://www.itcilo.org/courses/e-learning-social-health-protection-addressing-inequities-access-health-care","This course is about health coverage within the context of national social protection systems, including floors. The course will provide an overview of the objectives of social health protection and its contribution to reaching universal health coverage (UHC) and universal social protection (USP) in the context of the 2030 agenda. It will then examine the state of coverage and macro-trends at global and country level, before exploring the guiding principles provided by ILO standards for the design and operationalization of coverage expansion. The course will focus on the extension of the various dimensions of coverage and will provide insights on the technical options for coverage expansion."]
["IC028","International Training Centre","E-LEARNING ON ACCESS TO DECENT WORK FOR REFUGEES AND OTHER FORCIBLY DISPLACED PERSONS","Online",30,40,"2022-03-14","2022-04-22","965 EUR","2022-04-22","https://www.itcilo.org/courses/e-learning-access-decent-work-refugees-and-other-forcibly-displaced-persons","Globally, more than 80 million people are forcibly displaced by conflict, violence and human rights violations, overwhelmingly in emerging economies. The wider socio-economic consequences of forced displacement have triggered intense global debates on how to develop appropriate and sustainable policy responses to these challenges, especially in the COVID-19 context. The course is based on the ILO's 2016 Guiding Principles on the access of refugees and other forcibly displaced persons to the labour market, ILO standards, other human-rights instruments and existing good practices. This course is for policymakers and practitioners seeking to design and implement measures to facilitate the access of refugees and other forcibly displaced persons to the labour market, and to promote inclusive employment strategies and policies."]
["IC029","International Training Centre","STATA FOR LABOUR MARKET ANALYSIS","Online",25,33,"2022-04-25","2022-05-27","1 120 EUR","2022-05-27","https://www.itcilo.org/courses/stata-labour-market-analysis-0","The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators."]
["IC030","International Training Centre","SUPPORTING SMES DURING COVID-19","Online",null,null,"self-paced","self-paced","0 EUR",null,"https://www.itcilo.org/courses/supporting-smes-during-covid-19","Micro, small and medium-sized enterprises (MSMEs) and their workers are hard-hit by the present COVID-19 outbreak and related economic downturn. In response to the crisis, governments, employers' and workers' organizations, enterprises, and other social partners are implementing strategies to minimize the negative impacts, supporting business operations and protecting workers' rights, heading towards resilience."]
["IC031","International Training Centre","MONITORING AND EVALUATION CERTIFICATION PROGRAMME","Online",{"$f":"NETWORKDAYS(G1384,H1384,sviatky)","v":40},{"$f":"_xlfn.DAYS(H1384,G1384)+1","v":54},"2022-10-03","2022-11-25","960 EUR","2022-09-19","https://www.itcilo.org/courses/monitoring-and-evaluation-certification-programme-online","In order to measure success and report on results, development workers and public-sector managers create monitoring and evaluation systems. Such systems make it possible to learn from experience and improve programme and project performance. Monitoring and evaluation is therefore an essential function for all organizations, programmes and projects, and consequently international and public-sector organizations have for several years been investing in the creation of such structures. To meet the need for specialist knowledge in this field, the ITCILO is offering an online certification programme that provides all the technical skills and tools required to ensure effective monitoring of projects and programmes, and to manage the various evaluations that are part of the programming cycle."]
["IC032","International Training Centre","IMPACT EVALUATION OF POLICIES, PROGRAMMES AND PROJECTS","Online",40,54,"2022-10-17","2022-12-09","960 EUR","2022-09-16","https://www.itcilo.org/courses/impact-evaluation-policies-programmes-and-projects","The purpose of an impact evaluation is to assess the relevance and effectiveness of a project, programme or public policy that aims to bring about a positive change in the well-being or conditions of a target population, and to measure improvements on the basis of predefined indicators. Impact evaluations measure change on the basis of indicators and analyse whether the change can be attributed to the development intervention. This type of impact evaluation is usually undertaken over a defined period of time following an intervention, using a variety of techniques, including approaches based on qualitative or quantitative data that measure/compare the results achieved with what would have happened to beneficiaries if the project/programme intervention had not taken place. Before being awarded certification, participants design an impact evaluation of an intervention of their choice, putting into practice what they have learned throughout the programme."]
["IC033","International Training Centre","ACTUARIAL MODELING FOR SOCIAL PROTECTION ANALYSTS","Turín, Taliansko",10,12,"2022-11-07","2022-11-18","3 855 EUR","2022-10-07","https://www.itcilo.org/courses/actuarial-modeling-social-protection-analysts","Efficient governance supported by sound actuarial studies can make a positive contribution to the long-term success of social protection systems. The adequacy and financial sustainability of the long-term benefits provided under national public pension schemes have major policy implications. Actuarial studies enable policymakers to better anticipate future deficits and achieve the policy objectives of social protection systems. Through a combination of lectures and applied modelling exercises, this course aims to reinforce the technical skills needed for the long-term actuarial planning of national pension schemes and social protection systems."]
["PT024","PTV Group","PTV Visum - Introduction to Macroscopic Network Modelling","Online",3,3,"2022-05-09","2022-05-11","1 606,50 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","You will learn how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. We will acquaint you with the description of procedure sequences including the procedures for private transport assignment as well as a common procedure for public transport assignment. We will use the PTV Visum Scenario manager to illustrate how to construct a base scenario and multiple planning scenarios and how to work with these scenarios.\n\nThis course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract."]
["PT025","PTV Group","PTV Visum - Introduction to Public Transport Modelling","Online",1,1,"2022-05-12","2022-05-12","535,50 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0102/","Primarily you work in the area of private transport modeling. Additionally, you would like to know how to handle the network objects which are required for modelling public transport networks. You will learn the fundamentals of public transport supply modelling. Moreover, how to connect the public transport demand and supply in PTV Visum will be explained.\n\nThis training course serves as the basis for the use of the basic public transport functionality in PTV Visum. Users who are interested in detailed public transport modeling are recommended to attend the two-day Public Transport basic training course which includes both supply and demand."]
["PT026","PTV Group","PTV Visum - Creating a 4-Step Transport Model","Online",2,2,"2022-03-01","2022-03-02","1 071 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0109/","One of the main uses of Visum is modeling transport demand. The most common travel forecasts analyse the daily travel behaviour of people. These forecasts provide answers to the questions, when, how often, where and how do people travel.\n\nThe standard 4-step model generally includes the steps trip generation, trip distribution, mode choice, and assignment. In Visum the variants 4-step model with sequential calculation and Nested demand model can be used. The two variants have in common that both trip generation and assignment are carried out in separate steps, either before or after calculation of the demand matrices.\n\nThis two-day course will first introduce you to the various modelling methods. After describing all demand models available in PTV Visum, the course covers in detail the subjects of model segmentation, data supply, calibration and validation. The actual implementation of these subjects in PTV Visum is explained and participants practice with a training model."]
["TI339","Timberlake Consultants","Macroeconomic Density Forecasting & Nowcasting","Online",2,2,"2022-02-07","2022-02-08","450 GBP",null,"https://www.timberlake.co.uk/courses/macroeconomic-density-forecasting-nowcasting-nov21.html","Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession. We begin softly by reviewing some classic time series methods and standard point and density forecasting tools (fan charts), but rapidly turn to the state-of-the-art forecasting methods such as Mixed Frequency Data Sampling (MIDAS), Regime (or Markov) Switching models, and Bayesian forecasting techniques.\n\nThe focus will be more on the empirical implementation of the techniques than on their theoretical underpinnings. The techniques will be illustrated with several empirical applications, and then implemented in EViews. While experience in forecasting is advantageous, the course is equally suitable for professionals who have just recently began to forecast macroeconomic and financial indicators. We are flexible and the course can easily be accommodated to the level of the participants. Previous knowledge and experience in econometrics is however, essential."]
["TI340","Timberlake Consultants","Regression Modelling using Stata","Online",2,2,"2022-02-10","2022-02-11","450 GBP",null,"https://www.timberlake.co.uk/courses/regression-modelling-using-stata-2021.html#prices","This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.\nRegression modelling is a fundamental tool in the research box of every economist, econometrician or applied researcher in a variety of fields. Join Dr Malvina Marchese and learn the statistical theory behind linear and non-linear regression methods. These methods are taught with specially chosen datasets, using real examples from macroeconomic and finance research."]
["TI341","Timberlake Consultants","Programming in Eviews","Online",1,2,"2022-02-18","2022-02-19","450 GBP",null,"https://www.timberlake.co.uk/courses/building-own-models-with-eviews-feb22.html","EViews is a great statistical package. From its drop down menu one can easily run simple OLS regressions, conduct hypothesis testing, obtain misspecification tests, estimate non-linear least squares, estimate simultaneous equation models, test for unit roots and cointegration, estimate long-memory models and time varying conditional variance specifications, run VARs, VECMs and Bayesian VARS, obtain impulse responses from structural VARs and estimate mixed frequency models (MIDAS)."]
["TI342","Timberlake Consultants","Data Scraping and analysis with Python and Stata","Online",2,2,"2022-02-23","2022-02-24","450 GBP",null,"https://www.timberlake.co.uk/courses/data-scraping-python-module-stata-jan22.html","Accessing online data is becoming increasingly important for analysts. Unfortunately, data on the web are not always available in formats easy to analyse and examine.\nPython allows users to download public data available online in formats that can be imported and analysed in Stata.\nThe course offers an overview of data scraping using the Python module integrated in Stata."]
["TI343","Timberlake Consultants","Introduction to Linear Mixed Models using Stata","Online",2,2,"2022-09-20","2022-09-21","450 GBP",null,"https://www.timberlake.co.uk/courses/introduction-linear-mixed-models-stata-sep22.html#prices","The course will illustrate medical and health related applications of mixed modelling, such as multi-centre trials, cross-over trials, and the analysis of repeated measures. The course focuses on the linear mixed model, assuming normally distributed data, and on how to fit it and interpret its results."]
["NS010","NATO School","Network Traffic Analysis","Online/Oberammergau, Nemecko",50,68,"2022-06-13","2022-08-19","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=107&TabId=155&ID=128&keyword=analysis&code=&startdate=&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","The aim of this course is to develop students who are able to master the methods and techniques used in gaining deep insight into the operations, use, investigation, and troubleshooting of cyber systems.","Štruktúra kurzu - prezenčne (1) - online (8) - prezenčne (1)"]
["NS011","NATO School","NATO Alternative Analysis Course","Oberammergau, Nemecko",5,5,"2022-04-25","2022-04-29","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=128&TabId=155&ID=128&keyword=analysis&code=&startdate=&enddate=&exactdatematch=False&durationfrom=1&durationto=3084&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","Introduce students to the principles of NATO Alternative Analysis, the application of Alternative Analysis tools and techniques in support of decision-making and problem solving. This course will also prepare the student for the role of Alternative Analysis Facilitator."]
["NS012","NATO School","Network Security Course","Online/Oberammergau, Nemecko",50,68,"2022-02-21","2022-04-29","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=104&TabId=155&language=en-US","The aim of this course is to provide students with in depth knowledge and skill of the bits-in-transit aspect of network security, including defining a network, exploring routers, routing & ACL basics, traffic analysis, perimeter defence & NIDS weaknesses, authentication, and virtual private networks.","Štruktúra kurzu - prezenčne (1) - online (8) - prezenčne (1)"]
["NS013","NATO School","Network Security Course","Oberammergau, Nemecko/Online",50,68,"2022-08-15","2022-10-21","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=104&TabId=155&language=en-US","The aim of this course is to provide students with in depth knowledge and skill of the bits-in-transit aspect of network security, including defining a network, exploring routers, routing & ACL basics, traffic analysis, perimeter defence & NIDS weaknesses, authentication, and virtual private networks.","Štruktúra kurzu - prezenčne (1) - online (8) - prezenčne (1)"]
["TC015","Tayllorcox","Prince2 foundation","Online/Praha, Česko",3,3,"2022-03-07","2022-03-09","19 600 CZK + DPH",null,"https://www.tx.cz/prince2/prince2-foundation","Nevyžaduje praxi. Přesto vás naučí principy projektového řízení, v celém životním cyklu projektu. Metodiku PRINCE2® lze aplikovat na velké i malé projekty, napříč obory. Tento interaktivní kurz obsahuje vše: příručku, šablony, 2x cvičné testy a oficiální test PRINCE2® 5th edition (v češtině, nebo PRINCE2® 6th edition ","Inštitúcia ponúka viacero termínov kurzu."]
["TC016","Tayllorcox","Prince2 practitioner","Online/Brno, Česko",2,2,"2022-03-03","2022-03-04","19 500 CZK + DPH",null,"https://www.tx.cz/prince2/prince2-practitioner","PRINCE2® Practitioner navazuje na znalosti, které jste získali v kurzu PRINCE2® Foundation a rozšiřuje je do praktické aplikace 7 Principů, Procesů metodiky. Zdokonalujte se a převezměte kontrolu nad projekty v celém životním cyklu. Jako Senior Project Manager dokážete předcházet potížím i řešit aktuální problémy. Řídit projektové týmy, upravovat metodiku na míru potřebám organizace, ale i projektu.","Inštitúcia ponúka viacero termínov kurzu."]
["TC017","Tayllorcox","ITIL® Foundation","Online/Praha, Česko",3,3,"2022-03-07","2022-03-09","16 900 CZK + DPH",null,"https://www.tx.cz/itil/itil-foundation","Získejte komplexní know-how best practice frameworku ITIL. Unikátní Case Study vám pomůže osvojit si implementaci procesů, podpůrných služeb, nastavení funkcí a rolí v rámci celého IT Service Managementu. Kurz je kvalifikačním předpokladem pro ITIL® Practitioner."]
["LO265","London School of Economics and Political Science (LSE)","Finance for Executives","Londýn",5,5,"2022-02-21","2022-02-25","6295 GBP","2022-02-14","https://www.lse.ac.uk/study-at-lse/executive-education/programmes/finance-for-executives#impact","Assessing your organisation’s financial health and determining its critical needs can be complex. Making informed decisions that add real value requires a solid understanding of the right analytical tools. This intensive programme empowers you with the finance acumen, frameworks and language to assess requirements, evaluate investments, improve strategic resource allocation and communicate more effectively with other stakeholders in your organisation and your financial ecosystem."]
["LO266","London School of Economics and Political Science (LSE)","Wellbeing as a Goal of Public Policy (konferencia)","Online",1,1,"2022-01-18","2022-01-18",0,null,"https://www.lse.ac.uk/Events/2022/01/202201181830/wellbeing","Join our panellists as they come together to discuss the new issue of the LSE Public Policy Review, Beveridge 2.0: Wellbeing. This latest LSE Public Policy Review issue discusses the extent to which wellbeing considerations can (and should) inform policy decisions. These questions are particularly relevant at a time when we start to fully understand the consequences of responses to the COVID-19 pandemic on a range of aspects of people’s lives: from mental health to domestic violence, from economic to educational outcomes. A focus on wellbeing can challenge the processes through which different public policy goals have been prioritized.","registrácia od 17.12.2021"]
["LO267","London School of Economics and Political Science (LSE)","30 Years of EU Migration and Asylum Policies: success or failure?","Online",1,1,"2022-02-14","2022-02-14",0,null,"https://www.lse.ac.uk/Events/2022/02/202202141730/maastricht","Thirty years ago the Maastricht Treaty was signed, creating today’s ‘European Union’ and representing the biggest single transformative text on European integration since the Treaty of Rome in 1958. As internal barriers began to fall, new walls and policies have risen between Europe and the rest of the world. How did Maastricht treaty affect migration through and to Europe? How have migration policies developed today? ","registrácia od 24.1.2021"]
["HA130","Harvard","Applied Design Thinking for Scientists and Engineers","Online",15,20,"2022-01-03","2022-01-22","2980 USD","2022-01-03","https://canvas.harvard.edu/courses/96067/assignments/syllabus","Design thinking is widely considered to be an essential skill for twenty-first century leaders and innovative thinkers. Engineering programs should graduate engineers who can design effectively to meet social and environmental needs. However, the role and perception of design across a wide range of educational disciplines has improved markedly in recent years. One of the defining characteristics of design thinking is that there is rarely a single correct answer to a complex problem. Design thinking is an iterative and interdisciplinary collaborative process toward crafting acceptable solutions. This course enables students to exercise and practice different thinking styles, including divergent, convergent, critical, analytical, and integrative. It guides students through the different steps of the design thinking process, starting with empathy, into problem definition, ideation, prototyping, building, measurement, and analysis. On the technical side, this course focuses on teaching systems and system controls to emphasize the importance of interdisciplinary collaborations in solving complex challenges. As some students want to bring forward their innovative ideas to the commercialization stage, the course aims to support their aspirations by including aspects of innovation and entrepreneurship in some of the course's hands-on projects."]
["HA131","Harvard","The Economics of Financial Markets","Online",15,20,"2022-01-03","2022-01-22","TBA","2022-01-03","https://canvas.harvard.edu/courses/96065/assignments/syllabus","This course studies the money market, the bond market, the foreign exchange market, the stock market, and the derivatives market. It provides the analytical skills necessary to understand forces that determine prices of financial and real assets. It also develops a system of tools to show how interest rates, prices of bonds, international capital flows, and exchange rates are simultaneously determined. Finally, it demonstrates how firms use financial derivatives, such as futures, options, and swaps to hedge against risk."]
["HA132","Harvard","Public Finance in a Complex World","Online",5,5,"2022-01-24","2022-01-28","3800 USD","2022-01-03","https://www.hks.harvard.edu/educational-programs/executive-education/public-finance-complex-world","Public Finance in a Complex World is an executive program providing a rigorous, evidence-based approach to public financial management. The upcoming online session will bring together officials in charge of implementing reforms in their countries along with leading experts from multilateral organizations to examine the challenges associated with successful systemic reform."]
["HA133","Harvard","Cybersecurity: The Intersection of Policy and Technology","Online",5,5,"2022-01-17","2022-01-21","3800 USD","2022-01-03","https://www.hks.harvard.edu/educational-programs/executive-education/cybersecurity","Cybersecurity: The Intersection of Policy and Technology is the first program of its kind to focus on the intersection of policy and technology and how, together, they can address the critical threats of a cyber world. The objective is to bring together technologists and policymakers and provide them with a conceptual framework for the design of both cybersecurity policy and technology."]
["HA134","Harvard","Behavioral Insights and Public Policy","Online",13,17,"2022-01-31","2022-02-16","3800 USD","2022-01-10","https://www.hks.harvard.edu/educational-programs/executive-education/behavioral-insights-and-public-policy","Led by faculty chair Todd Rogers and featuring renowned scholars and practitioners, this online program will introduce you to cutting-edge research from various social science disciplines. But that is just the beginning; the program will focus on real-life applications of this research. You will have the opportunity to apply your learnings immediately, through simulations, group learning, and assignments designed to support you in translating these lessons directly to your professional context. Through your peer learning community and expert HKS faculty, you will receive real-time feedback on your work and leave the program ready to deploy your new skills."]
["HA135","Harvard","Climate Change and Energy: Policymaking for the Long Term","Online",5,6,"2022-03-13","2022-03-18","9700 USD","2022-01-31","https://www.hks.harvard.edu/educational-programs/executive-education/climate-change-and-energy","Developed by Harvard Kennedy School faculty, Climate Change and Energy: Policymaking for the Long Term is a week-long executive program convening policymakers and corporate leaders from around the world to consider:  the facts about climate change and its impacts; potential policies to address climate change; why some governments might choose to address climate change more or less vigorously; and how sub-national governments and non-governmental actors might complement action by national governments."]
["HA136","Harvard","Affordable Housing Fundamentals and Frontiers: Globally Applicable Principles for Changing Markets","Online",5,5,"2022-02-14","2022-02-18","1800 USD","2022-02-13","https://online-learning.harvard.edu/course/affordable-housing-fundamentals-and-frontiers-globally-applicable-principles-changing-markets?delta=1","Though affordable housing has existed as an asset class for half a century, over the last two decades it has risen globally in importance, urgency, and public resources, and is emerging as more important than ever. And as stakeholders demand rapid innovation to tackle urgent housing challenges, in country after country affordable housing now has its biggest change-opportunity window in recent times. This course is not focused on the specifics of affordable housing in any specific market, including the United States. Powered by the instructors’ decades of experience in hundreds of projects in 50+ countries around the world, this course enables participants to zoom out and see the context of their cities’ housing markets, so that they may best understand how to improve it."]
["BA239","Barcelona School of Economics (BSE)","Time Series Models for Macroeconomic Analysis","Online",10,12,"2022-02-14","2022-02-25","1200 EUR","2022-02-07","https://bse.eu/study/professional-courses/time-series-models-macroeconomic-analysis","The objective of the Barcelona School of Economics Intensive Course on ​​Time Series Models for Macroeconomic Analysis is twofold: First, we will look at some of the most popular time series models designed to analyze propagation mechanisms and measure the effects of economic shocks. Second, we will discuss and present some recent empirical applications, focusing on monetary and fiscal policy shocks as well as non-policy shocks such as technology shocks, news shocks and uncertainty shocks.","*early bird: 1080€/14.1.2022"]
["BA240","Barcelona School of Economics (BSE)","Time Series Methods for Risk Analysis","Online",10,12,"2022-02-28","2022-03-11","1200 EUR","2022-02-07","https://bse.eu/study/professional-courses/time-series-methods-risk-analysis","The Barcelona School of Economics Intensive Course on ​​Time Series Methods for Risk Analysis provides an introduction to state-of-the-art techniques for the analysis of risk in finance and macroeconomics. ","*early bird: 1080€/14.1.2022"]
["IF001","IFO Institute","12th ifo Conference on Macroeconomics and Survey Data","Online",2,2,"2022-02-03","2022-02-04","0 EUR",null,"https://www.ifo.de/en/node/65006","The purpose of this conference is to discuss ongoing research on survey and micro data and its role and usage in macroeconomics."]
["IF002","IFO Institute","CESifo Area Conference on Public Economics 2022","Online/Mníchov, Nemecko",2,2,"2022-03-24","2022-03-26","0 EUR",null,"https://www.cesifo.org/en/node/65294","We invite CESifo Research Network members to submit papers to the conference, the purpose of which is to bring together the members to present and discuss their ongoing research.  Submissions to the area conference may deal with any topic in Public Economics and preference will be given to complete papers. "]
["TL001","Toulouse School of Economics (TSE)","15th Digital Economics Conference","Toulouse, Francúzsko",2,2,"2022-01-13","2022-01-14","0 EUR",null,"https://www.tse-fr.eu/conferences/2022-15th-digital-economics-conference","The objective of the conference, organized by the TSE Digital Center at the Toulouse School of Economics, with the help of CEPR, is to discuss recent contributions to the understanding of the digitial economy and its consequences for modern societies. Keeping the spirit of previous years, the conference will feature contributions in economics, theoretical, econometric, experimental and policy oriented, as well as contributions from other social sciences and computer and data science."]
["UN288","University of Copenhagen","Behavioral and Experimental Economics","Kodaň, Dánsko",16,22,"2022-08-01","2022-08-22","6000 DKR","2022-04-15","https://kurser.ku.dk/course/a%c3%98ka08107u/2021-2022","Behavioral economics attempts to make economics a more relevant and powerful science of human behavior by integrating insights from psychology and the social sciences into economics. Experimental economics adapts methods developed in the natural sciences to study economic behavior. Experiments are valuable in testing to what extent the integration of insights from other disciplines into economics is necessary and fruitful. Behavioral and Experimental Economics is a vibrant field of research in economics and sheds new light on many old and important issues in economics. The field has received wide recognition in recent years, for example by the award of the Nobel Prize in Economics 2002 to Daniel Kahneman and Vernon Smith. The field is rapidly growing. This course can therefore not provide a comprehensive overview but concentrates on selected topics instead.",null,null,"áno"]
["UN289","University of Copenhagen","Introduction to Social Data Science","Kodaň, Dánsko",17,22,"2022-08-01","2022-08-23","6000 DKR","2022-04-15","https://kurser.ku.dk/course/a%c3%98kk08216u/2021-2022","The objective of this course is to learn how to analyze, gather and work with quantitative social science data. Increasingly, social data that capture how people behave and interact with each other, is available online in new, challenging forms and formats. This opens up the possibility of gathering large amounts of interesting data, to investigate existing theories and new phenomena, provided that the analyst has sufficient computer literacy while at the same time being aware of the promises and pitfalls of working with various types of data.",null,null,"áno"]
["ER010","Erasmus University Rotterdam ","Sustainable Local Economic Development","Online/Rotterdam, Holandsko",10,12,"2022-03-28","2022-04-08","3500 EUR+  21 %VAT","2022-03-13","https://www.ihs.nl/en/education/short-courses/sustainable-local-economic-development","Entrepreneurs and small businesses (firms or farms) are the backbones of the local economy. Understanding the impact they have on its competitiveness is key to drafting policies that are effective and inclusive. These policies should inspire social dialogue and bring together the community, businesses, and government actors to support existing local capacities and develop new ones. The Local Economic Development course employs a blend of methods ranging from lectures, expert seminars on best practices and group discussions to on-site visits. Participants are encouraged to share their own experiences during the group and individual exercises. By the end of the course, you apply the newly obtained knowledge of your region's local economy by preparing a strategic plan. "]
["AC298","ACREA CR","Mnohorozměrné škálování","Praha/online",1,1,"2022-05-30","2022-05-30","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/mnohorozmerne-skalovani/","Mnohorozměrné škálování přehledně shrnuje v jednom obrázku velké množství informací. Zakresluje objekty charakterizované mnohorozměrnými profily do plochy (nebo do vícerozměrného prostoru) a umožňuje tak jejich bezprostřední a názornou komparaci. Mnohorozměrné škálování také zobrazuje do obrázku vztahy mezi proměnnými a má roli neparametrické faktorové analýzy v případech, kdy vztahy mezi vstupními proměnnými nejsou charakterizovány korelacemi, ale libovolnými jinými koeficienty nebo mírami.","Software: SPSS"]
["AC299","ACREA CR","Logistická regrese","Praha/online",1,1,"2022-04-26","2022-04-26","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","Logistická regrese je predikčním modelem pro kategorizované veličiny. Nezávislé proměnné mohou být jak číselné, tak i kategorizované. Na základě nalezeného modelu lze provádět predikce pro neznámé případy včetně odhadu pravděpodobnosti výskytu jednotlivých cílových kategorií. Metoda se užívá v bankovnictví, medicíně, marketingu, ekonomii a v technických nebo přírodních vědách.","Software: SPSS"]
["AC300","ACREA CR","Korespondenční analýza ","Praha/online",1,1,"2022-04-25","2022-04-25","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korespondencni-analyza/","Korespondenční analýza je technika vhodná pro analýzu dat ve dvou nebo více rozměrných kontingenčních tabulkách. Její předností je přehledná vizualizace vazeb mezi kategoriemi proměnných. Na korespondenční analýzu lze též nahlížet jako na paralelní metodologii k faktorové analýze číselných dat v případech, kdy do analýzy vstupují četnosti v polích kontingenční tabulky, nebo soustavy kontingenčních tabulek. Metoda odhalí latentní faktory působící na vznik četností. Výstupem jsou nezávislé latentní příčiny četnostní struktury a váhy jednotlivých vstupních kategorií a proměnných na těchto faktorech, které mohou sloužit jako kvantifikace nominálních vstupních hodnot.","Software: SPSS"]
["AC301","ACREA CR","Klasifikacni a asociacni stromy","Praha/online",1,1,"2022-06-01","2022-06-01","200 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/klasifikacni-a-asociacni-stromy/","Metoda klasifikačních či asociačních stromů je založena na postupném členění případů do stejnorodých skupin na základě jejich vlastností. Při použití metody se volí cílová vlastnost případů, která má být ve skupinách homogenní. Nejčastěji je predikována příslušnost případu k určité kategorii -  zákazníci se například stromem rozdělí do skupin podle zájmu o konkrétní produkt. Strom nejen případy rozdělí do skupin, ale zjistí také, co příslušnost ke skupině určuje.","Software: SPSS"]
["AC302","ACREA CR","ANALÝZA LATENTNÍCH TŘÍD","Praha/online",1,1,"2022-06-21","2022-06-21","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-latentnich-trid/","Podobně jako ve faktorové analýze je i v analýze latentních tříd znám kromě exploračního přístupu (snaží se nalézt latentní třídy a jejich význam) také konfirmační přístup (ověřuje, zda je jednou vytvořená typologie vhodná i pro jiné populace nebo pro stejnou populaci po určité době). Díky možnostem softwaru má analýza latentních tříd široké uplatnění a výjimkou nejsou ani aplikace, kdy se výsledná typologie užívá jako vstup pro další analytické metody (například regresní analýzu nebo analýzu rozptylu). Výhodou analýzy latentních tříd (zejména úloh s málo třídami) je snadná interpretace výsledků a jednoduché pojmenování tříd.","Software: SPSS"]
["AC303","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT III - logaritmicko - lineární modely","Praha/online",1,1,"2022-05-18","2022-05-18","245 EUR + DPH",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/","Logaritmicko-lineární modely v kontingenčních tabulkách tvoří systém metod, kterými lze flexibilně formulovat a ověřovat různé hypotézy v tabulkách četností. Modelují se vzájemné souvislosti mezi kategoriemi i vztahy k jedné závislé proměnné. Přístup poskytuje také řešení pro nestandardní situace analýzy dat ve speciálních případech.","Software: SPSS"]
["BE008","Bank of England","New global challenges amid incomplete and divergent recoveries (konferencia)","online",2,2,"2022-04-27","2022-04-28","0 EUR",null,"https://www.bankofengland.co.uk/events/2022/april/new-global-challenges-amid-incomplete-and-divergent-recoveries","The pandemic continues to pose new challenges for the global economy. Inflation has risen sharply, even as the recoveries in labour markets and output remain incomplete. The elevated inflation partly reflects rising commodity prices and ongoing supply chain disruptions, the duration of which remains highly uncertain. As such, policymakers face difficult trade-offs, including how to best balance multiple objectives amidst substantial uncertainty, and how to communicate clearly their views to limit market disruptions. These challenges are most acute in emerging market economies, to the extent that central bank reputations are less established, recoveries are lagging, and countries are exposed to spillovers from developments and policies elsewhere."]
["BE009","Bank of England","Sovereign Capital Markets in pandemic times (konferencia)","Londýn/Online",2,2,"2022-04-07","2022-04-08","0 EUR",null,"https://www.bankofengland.co.uk/events/2022/april/sovereign-capital-markets-in-pandemic-times","The coronavirus pandemic presented numerous unprecedented challenges to central banks in both industrialized countries and emerging markets. The sudden global recession, the often-interrupted recovery, the displacement of labor, capital, and financial resources all required policy makers to adopt new strategies, often untested, in order to provide liquidity to the markets, reduce the cost of capital, and ultimately limit the impact on the economy --- all the while the pandemic continued to destabilize the pre-existing economic order. These actions raise numerous questions about their rationale and effectiveness as well as about their potential distortions on both Wall Street and Main Street --- from a liquidity glut to excessive risk-taking to volatility ."]
["CM015","Cemmap","Reproducible Econometrics Using R","TBD",2,2,"2022-04-25","2022-04-26","240 GBP",null,"https://www.cemmap.ac.uk/event/reproducible-econometrics-using-r-2/","This course will proceed from a state of zero (assumed) prior knowledge of R (www.r-project.org) and the tools used to conduct modern (read reproducible) research to a state of (hopefully) being conversant in R and being able to conduct modern statistical/econometric research in a unified framework. We will begin with the basics of using R (e.g., “Why use R?”, “How do I read my Stata or Excel data into R?”) then progress to an overview of various statistical methods that form the backbone of modern applied research. We will then introduce tools for reproducible research (R Markdown & RStudio) and touch on using github for version control. Extensive examples will be covered and participants are expected to bring their own computer pre-loaded with all necessary software (i.e., R, RStudio, TeX, github, though those without a computer can use RStudio Cloud via a browser instead). "]
["CM016","Cemmap","Topics in Empirical Industrial Organization","TBD",2,2,"2022-06-10","2022-06-11","200 GBP",null,"https://www.cemmap.ac.uk/event/topics-in-empirical-industrial-organization/","Liran Einav is a professor of economics at Stanford University and a research associate in the National Bureau of Economic Research, where he is directing the Industrial Organization Program. Professor Einav’s areas of specialization are industrial organization and applied microeconomics. An important strand of his work is focused on insurance markets, including the development of empirical models of insurance demand and pricing, and empirical analyses of the implications of adverse selection and moral hazard. Much of Professor Einav’s current work is focused on healthcare markets"]
["CE188","Center of Excellence in Finance","Impact Assessment of Structural Reforms for Policy Experts","Ľubľana/online",3,3,"2022-05-24","2022-05-26","0 EUR","2022-04-26","https://www.cef-see.org/22-dap02","The objective of this event is for policy experts to reach an understanding of the impact channels of their reforms in qualitative terms. Experts will discuss with participants how to link the expected impact of reforms with the identified obstacles and outcome key performance indicators (KPIs). "]
["CE189","Center of Excellence in Finance","Making Government Services Work Better for Citizens","Tirana/Online",2,2,"2022-06-28","2022-06-29","0 EUR","2022-05-29","https://www.cef-see.org/22-acc06","The hybrid event will address change management and transformation from a bureaucratic to a technocratic system of governance. It will deal with how policy- and decision-making is related to technical aspects; the obstacles and opportunities for introduction of changes; how public officials become change agents; and steps to take to drive change, ensure sustainability and improve public sector services. The discussion will focus on asset management and anti-corruption, and will build on the lessons learned and the needs of accountants and auditors in the region. It will highlight the importance of asset information for short- and long-term decision-making, e g. in the context of sustainable procurement. "]
["TH252","The European Regional Science Association (ERSA)","Population imbalances in Europe (konferencia)","Madrid, Španielsko",3,3,"2022-04-27","2022-04-29","0 EUR",null,"https://ersa.org/events/settle-international-congress/","The SETTLE International Congress is part of an ERASMUS+ project entitled: “Population imbalances in Europe: challenges of urban concentration versus rural depopulation” (SETTLE). It will be held on-site on 27th, 28th and 29th April 2022 at the University of Alcala (Spain); organized by the Jean Monnet Chair “Economic Policy and European Union” and the Institute for Economic and Social Analysis (IAES)."]
["TH253","The European Regional Science Association (ERSA)","Summer School: Circular economy & green growth: challenges for urban, regional and entrepreneurial ecosystems","Caen, Francúzsko",5,5,"2022-06-13","2022-06-17","0 EUR","2022-03-10","https://ersa.org/events/35th-ersa-summer-school/","The emergence of the circular economy as a new form of economic production raises questions about its integration into the strategies of companies as well as into the orientations of territorial development and territorial ecosystems. This summer school dedicated to the circular economy and green growth will allow to put forward and question reading grids and analytical methods in regional science through high-level conferences, thematic workshops, master class and field experience."]
["EU316","European Institute of Public Administration (EIPA)","Everything You Wanted to Know About the European Green Deal 2021–2027","online",5,5,"2022-03-21","2022-03-25","900 EUR","2022-03-07","https://www.eipa.eu/courses/everything-you-wanted-to-know-about-the-european-green-deal-2021-2027/","Part of the EIPA series on the Green Deal, this is an opportunity to get the ‘big picture’ on the Green Deal as well as a clear overview of its main components. Learn about the climate change objectives (‘Fit for 55’, carbon neutrality by 2050), energy union (energy efficiency and energy renewables), circular economy, biodiversity strategy, ‘farm to fork’ strategy and zero pollution objectives. Get updated on the latest legislative developments on all issues related to the Green Deal. Have a clear picture of the financing of the Green Deal and understand the allocation of EU funds to projects and initiatives which contribute to the objectives of the Green Deal."]
["EU317","European Institute of Public Administration (EIPA)","Quantification and Monetisation in the Context of Better Regulation (+ Introductory Module)","online",3,3,"2022-04-11","2022-04-13","700 EUR","2022-04-04","https://www.eipa.eu/courses/quantification-monetisation-better-regulation/","Learn how to incorporate tried and tested quantification and monetisation techniques in your impact assessments and evaluations. Understand the use of quantification and monetisation as a key aspect to ensure evidence-informed policymaking. Gain insights into mapping impacts, collecting data to analyse them and a variety of methods for analysing impacts. Gain a deeper understanding of the common methods of valuing impacts (both market and non-market methods)."]
["EU318","European Institute of Public Administration (EIPA)","Ex post Evaluations in the Context of Better Regulation: Where Do We Go? (+ Introductory module)","online",3,3,"2022-05-02","2022-05-04","700 EUR","2022-04-25","https://www.eipa.eu/courses/ex-post-evaluations-in-the-context-of-better-regulation-introductory-module/","Learn how to ensure high-quality ex post evaluations. First, gain a foundation of good practices in ex post evaluation through the lessons learned from implementation of the BR Guidelines and Toolbox. Building on this foundation, gain insight into the pillars of a sound evaluation design (the intervention logic, evaluation criteria, evaluation questions and the evaluation matrix). Moreover, learn practical skills for managing evaluation studies and stakeholder engagement. Finally, learn about the latest developments and innovations in evaluation to help keep your evaluations state-of-the-art."]
["EU319","European Institute of Public Administration (EIPA)","Strategic and Sustainable Public Procurement: Making it Work for Crisis Recovery","online",2,2,"2022-05-12","2022-05-13","700 EUR","2022-05-04","https://www.eipa.eu/courses/strategic-sustainable-public-procurement/","TBA"]
["EU320","European Institute of Public Administration (EIPA)","Designing and Assessing the Logic of Intervention in Policymaking and Implementation","online",2,2,"2022-05-19","2022-05-20","500 EUR","2022-05-12","https://www.eipa.eu/courses/logic-of-intervention/","Specifically, this course will enhance your ability to design and implement (including monitor and evaluate) your programmes/ policies. You will learn all this in line with the European Commission better regulation methodology as reflected in the recently revised guidelines and toolbox."]
["ES033","Eurostat","National Accounts - Introductory course","Helsinki, Fínsko",4,4,"2022-05-02","2022-05-05","0 EUR","2022-03-07","https://ec.europa.eu/eurostat/cros/content/national-accounts-introductory-course-2022_en","The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data."]
["ES034","Eurostat","Economic and social classifications: methodology and application","Haag, Holandsko",3,3,"2022-05-11","2022-05-13","0 EUR","2022-03-15","https://ec.europa.eu/eurostat/cros/content/economic-and-social-classifications-methodology-and-application-2022_en","The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use."]
["ES035","Eurostat"," Advanced topics on energy statistics","Luxembrug, Luxembursko",3,3,"2022-05-17","2022-05-19","0 EUR","2022-03-22","https://ec.europa.eu/eurostat/cros/content/advance-topics-energy-statistics-2022_en","The course will focus on advanced methodological and validation issues of energy statistics, aiming at improving the quality aspects of annual energy statistics: quality aspects in focus of this training will be coherence and comparability of data."]
["ES036","Eurostat","Equality and Diversity statistics with a focus on data dissemination","online",3,3,"2022-05-24","2022-05-26","0 EUR","2022-03-28","https://ec.europa.eu/eurostat/cros/content/equality-and-diversity-statistics-focus-data-dissemination-2022_en","The course will provide an insight about equality and diversity with a focus on the official statistics available at ESS level"]
["ES037","Eurostat","Introduction to statistics production with the use of geographical information systems (GIS)","Oslo, Nórsko",3,3,"2022-05-31","2022-06-02","0 EUR","2022-04-04","https://ec.europa.eu/eurostat/cros/content/introduction-statistics-production-use-geographical-information-systems-gis-no-2022_en","To provide the participants with basic understanding on how to produce statistics with the use of geocoded statistical registers and map databases. Emphasis is on the use of Vector data and Vector tools. Each participant will at course start need to choose whether they wish to follow the course in GIS-tools QGIS or ArcGIS Pro."]
["ES038","Eurostat","The Use of R in Official Statistics: model based estimates","Haag, Holandsko",5,5,"2022-06-20","2022-06-24","0 EUR","2022-04-25","https://ec.europa.eu/eurostat/cros/content/use-r-official-statistics-model-based-estimates-2022-0_en","The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys."]
["IE005","IEA","22nd Energy Statistics Course","online",3,3,"2022-03-15","2022-03-17","0 EUR","2022-03-01","https://www.iea.org/events/22nd-energy-statistics-course","This free course offers training in the internationally recognised IEA methodology and tools for collecting and organising national-level energy data by different fuels and sectors of the economy. It focuses on creating complete and accurate energy balances through the use of consistent definitions and units, in order to inform national energy policy and enable consistent international reporting."]
["JC207","Jacobs, Cordova and Associates","Online Applied Regulatory Impact Assessment (RIA) Training for Professionals","Online",10,10,"TBA","TBA","1500 EUR",null,"http://regulatoryreform.com/ria-training/"," This RIA course, by highly experienced public policy and RIA trainers, is expressly designed for policy officials and executives who use RIA to improve policy results, and private companies who wish to use RIA methods to communicate with government regulators. The course will benefit anyone using RIA in environmental, social and economic fields as well as stakeholders such as business associations, NGOs and consultants who want to understand better how to use RIA constructively.","2 hodiny denne"]
["MF030","International Monetary Fund","Inclusive Growth","Viedeň",10,12,"2022-05-30","2022-06-10","0 EUR","2022-03-06","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/JV/2022/IGJV22-21","This course, presented by the Institute for Capacity Development, is designed to increase participants’ understanding of the concepts of inclusive growth and give them analytical and operational tools to evaluate, measure, and monitor how macroeconomic policies can affect growth, climate change, poverty, inequality, and job creation. Lectures introduce the basic concepts of inclusive growth, with a special focus on long-term sustainability, and workshops offer participants an opportunity to apply the concepts and think about the design of inclusive growth strategies, drawing from country case studies."]
["MF031","International Monetary Fund","Vulnerability Diagnostics (VDS)","Viedeň",10,12,"2022-07-18","2022-07-29","0 EUR","2022-04-24","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/JV/2022/VDSJV22-25","This course, presented by the Institute for Capacity Development, complements the Macroeconomic Diagnostics (MDS) course by enhancing participants’ ability to assess fiscal, financial, and external vulnerabilities in an integrated fashion, using several diagnostic tools to capture tail risks."]
["MF032","International Monetary Fund","Exchange Rate Policy (ERP)","Viedeň",10,12,"2022-06-27","2022-07-08","0 EUR","2022-04-03","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/JV/2022/ERPJV22-23","This course, presented by the Institute for Capacity Development, gives a comprehensive overview of exchange rate analysis and policy. ","Participants are expected to have an advanced degree in economics or equivalent professional experience and be comfortable with Microsoft Excel and Excel-based applications. Before taking this course, it is recommended that applicants take either the Financial Programming and Policies (FPP) or the Macroeconomic Diagnostics (MDS) course. Participants are expected to also have a working knowledge of Word, Excel, PowerPoint, and EViews."]
["MF033","International Monetary Fund","Virtual : Fiscal Analysis and Forecasting (FAF)","online",10,12,"2022-06-20","2022-07-01","0 EUR","2022-03-25","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/ST/2022/FAFST22-01V","This course, presented by the Fiscal Affairs Department, offers participants a more extensive exposure to fiscal issues and the macroeconomic effects of fiscal policy than is possible in a standard course on Financial Programming and Policies. Separate lectures are devoted to fiscal accounts and analysis, fiscal forecasting, fiscal sustainability, how the fiscal sector relates to the rest of the economy, fiscal dimensions in financial programming, and governance and fiscal risk management issues. Workshops take up about half the course time. These cover fiscal accounting and analysis, fiscal forecasting and sustainability, and design of a fiscal baseline for a case study country."]
["MF034","International Monetary Fund","Virtual : Nowcasting","online",5,5,"2022-04-18","2022-04-22","0 EUR","2022-03-11","https://www.imf.org/en/Capacity-Development/Training/ICDTC/Schedule/AT/2022/MFA-NWCAT22-03V","The course will introduce participants to nowcasting methods and to the type of data and techniques that countries can use to develop high-frequency indicators (HFI) using a hands-on approach. The course will cover nowcasting and HFI data sources, two types of modeling approaches (factor models and machine learning), that enable the incorporation of mixed-frequency data indicators to the nowcasts and forecasts of GDP. Using applications to different countries, it will emphasize the following practical aspects: How to adapt to the data context? How to deal with mixed frequencies and delays in the release of data? How to evaluate (and combine) different nowcasting models?"]
["MC010","Metrika Consulting AB","Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals","Online",4,4,"2022-04-04","2022-04-07","950 USD","2022-03-28","https://www.stata.com/training/public/using-stata-effectively/","Become intimately familiar with three components of Stata: data management, analysis, and graphics. This course is aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata. Upon completion of the course, you will be able to use Stata efficiently for basic analyses and graphics. You will be able to do this in a reproducible manner, making collaborative changes and follow-up analyses much simpler. Finally, you will be able to make your datasets self-explanatory to your co-workers and yourself when using them in the future."]
["MC011","Metrika Consulting AB","Survival Analysis Using Stata","Online",4,4,"2022-04-11","2022-04-14","1295 USD","2022-04-04","https://www.stata.com/training/public/survival-analysis-using-stata/","Learn how to effectively analyze survival-time data using Stata. This training introduces the concepts of censoring, truncation, hazard rates, and survival functions. Participants will learn how to prepare data for survival analysis, compute descriptive statistics, create life tables, obtain Kaplan–Meier curves, and fit both semiparametric (Cox) regression and parametric regression models. Discover how to set the survival-time characteristics of your dataset just once and then use many of Stata's survival-time estimators and summary statistics commands with those data."]
["MC012","Metrika Consulting AB","Introduction to Bayesian Analysis Using Stata","Online",4,4,"2022-04-26","2022-04-29","1295 USD","2022-04-19","https://www.stata.com/training/public/bayesian-analysis-using-stata/","Learn to use Stata to perform basic Bayesian analysis. Bayesian analysis is a statistical paradigm that answers research questions about unknown parameters using probability statements. For example, what is the probability that a person accused of a crime is guilty? What is the probability that treatment A is more cost effective than treatment B for a specific healthcare provider? What is the probability that the odds ratio is between 0.3 and 0.5? And many more. Such probabilistic statements are natural to Bayesian analysis because of the underlying assumption that all parameters are random quantities. In Bayesian analysis, a parameter is summarized by an entire distribution of values instead of one fixed value as in classical frequentist analysis. Estimating this distribution, a posterior distribution of a parameter of interest, is at the heart of Bayesian analysis."]
["NS014","NATO School","NATO Movement and Transportation Course","Oberammergau",10,12,"2022-06-20","2022-07-01","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=15&TabId=155&keyword=&code=&startdate=3%2f7%2f2022&enddate=6%2f30%2f2022&exactdatematch=False&durationfrom=1&durationto=2&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","This one-week course is comprised of lectures and a syndicate exercise. Day 1 is combined with the M4-92 NATO Movement and Logistics Operational Planning Course and M4-94 NATO Logistics Course and is primarily focused on creating a baseline understanding of NATO Logistic fundamentals and the Joint Logistic Support Group (JLSG) within the strategic and operational environment. The Day 2 focus shifts to NATO movement structures, processes and doctrine, together with examination of logistic information systems tools and the role of specific NATO movement organisations including planning groups in civil emergency planning, a subject further expanded within the land, sea and air domains with a series of presentations on Day 3. A syndicate exercise is run during Day 4 in order to explore and practise movement planning fundamentals within a limited emergency relief scenario. Day 5 comprises a series of supplementary movement considerations, such as dangerous goods or lessons-learnt from a multinational perspective."]
["NS015","NATO School","NATO Geospatial Orientation Course","Oberammergau",5,5,"2022-04-04","2022-04-08","0 EUR",null,"https://www.natoschool.nato.int/Academics/Resident-Courses/Course-Catalogue/Course-description?ID=49&TabId=155&keyword=&code=&startdate=3%2f7%2f2022&enddate=6%2f30%2f2022&exactdatematch=False&durationfrom=1&durationto=2&residentcourse=True&onlinecourse=True&adlmodules=False&department=&language=en-US","Provide students with foundational knowledge of policies, concepts, principles, current practices, and interoperability issues related to geospatial support in preparation for application within NATO."]
["PT027","PTV Group","PTV Visum - Emissions from Road Traffic","Online",1,1,"2022-03-08","2022-03-08","535,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0124/","In this one-day course you will learn the basics of emissions in relation to noise and air. We will show you the possibilities to calculate pollutant emissions in passenger and freight traffic in PTV Visum, e.g. on the basis of the Handbook for Emission Factors (HBEFA) published by the German Federal Environment Agency."]
["PT028","PTV Group","PTV Visum Safety - Analysis of Accident Data","Online",1,1,"2022-03-09","2022-03-09","5353,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0601/","You will learn how to use PTV Visum Safety in combination with the strategic traffic planning software PTV Visum to design coordinated assessment and planning stages. This allows different organisations like police, municipal services and traffic planners to work together towards the goal of a safer mobility."]
["PT029","PTV Group","PTV Vissim - Realistic Pedestrian Simulation with Viswalk","Online",1,1,"2022-05-05","2022-05-05","535,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0203/","Do you want to integrate pedestrians into your PTV Vissim simulations and use PTV Viswalk, the tool for the realistic simulation of pedestrian flows? The purpose of this one-day course is to explain the theoretical details of pedestrian simulation and to show you how to develop a pedestrian flow model which allows you to carry out your projects efficiently and successfully."]
["PT030","PTV Group","PTV Vissim - Modelling Vehicle-Actuated Signal Programs with VisVAP","Online",1,1,"2022-03-22","2022-03-22","535,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0202/","Would you like to design and test green time prolongations in private transport or public transport prioritization? The purpose of this one-day course is to show you the different types of vehicle-actuated signal control and their implementation using VisVAP in PTV Vissim. Moreover, you will learn how to apply your VisVAP knowledge to other projects in a reasonable way."]
["PT031","PTV Group","PTV Vissim - Dynamic Assignment & Mesoscopic Simulation","Online",1,1,"2022-04-20","2022-04-20","535,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0206/","If you have to model larger networks, it might be time-consuming and sometimes even difficult to enter the routes because the route choice depends on the signal control and traffic situation. Moreover, it might vary from scenario to scenario. The purpose of this course is to show you how dynamic assignment can assist you in solving this task efficiently. In addition to network preparation and dynamic assignment, you will learn more about further fields of application based on examples."]
["PT032","PTV Group","PTV Vissim - Modelling Complex Parking Scenarios","Online",1,1,"2022-04-21","2022-04-21","535,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0209/","In this course we show you the options available in PTV Vissim to model complex parking situations and the related vehicle behaviour. We explore different parking techniques along with the interaction of parking vehicles as well as parking structures with public transport and other general traffic. In practice examples you will learn how to model multi-level parking and huge car parks."]
["PT033","PTV Group","PTV Vissim - Scenario Management, Evaluations, Visualization","Online",1,1,"2022-05-04","2022-05-04","535,5 EUR",null,"https://www.ptvgroup.com/en/training/courses/tr-t0207/","In this course, we pick up the topics that are briefly explained in our introduction course \"PTV Vissim – Introduction to Microscopic Traffic Flow Simulation\" (TR-T0201) and extend them with further theory and practical examples. We also cover the additional functions in PTV Vissim that are essential for professional traffic modelling."]
["PT034","PTV Group","PTV INNOVATION DAY (konferencia)","Lisabon, Portugalsko",1,1,"2022-03-31","2022-03-31","0 EUR",null,"https://discover.ptvgroup.com/Innovation_Day_Lisbon?_ga=2.177250533.1761779910.1643812477-1434281306.1643812477"]
["PT035","PTV Group","The Microlise Transport Conference","Coventry, Anglicko",1,1,"2022-05-18","2022-05-18","0 EUR",null,"https://www.microliseconference.com/","Increase your knowledge of the key topics of today and those of tomorrow. Learn from industry leaders and subject matter experts and acquire new insights into the future of the road transport industry. Meet with 1,200 of your fellow industry professionals and ensure you are armed with the information and knowledge you need to be successful now, and in the future"]
["SH019","Swiss School of Public Health","An Introduction to health economics: how should we finance and organize our health care systems","Online",1,1,"2022-08-26","2022-08-26","300 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_checon/","This day-long course shows how the tools of health economics can be used to understand the health and welfare implications of how our health care systems are funded and organized."]
["SH020","Swiss School of Public Health","Designing Health Care: Improving health care through Evidence-based Design","Online",1,1,"2022-08-27","2022-08-27","300 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cDHC/","In this one-day course, participants will gain an insight into evidence-based design in the healthcare sector and learn more about its processes and tools. In the first part, members of the interdisciplinary research group Health Care Communication Design HCCD of the Bern University of Applied Sciences BFH and the newly founded Swiss Center for Design and Health, will provide participants with some theoretical background. They use recent examples from the pandemic crisis and from their own work to show what effects design measures can have in the context of health care. In the second part, the course’s participants will take on a concrete case and work on it in groups. The goal is to develop an understanding of the respective context and to formulate appropriate solutions with the help of design methods. In a final round, the various approaches will be presented and discussed in plenary."]
["SH021","Swiss School of Public Health","Is Breathing killing us? Tackling Air Pollution using science for policies to protect health","Online",3,3,"2022-08-23","2022-08-25","300 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cAP/","Ambient air pollution is a leading cause of morbidities and premature death. The course provides basic insights into the measurement, modelling and monitoring of exposure to air pollution, it’s health effects and the overall impact and costs for public health. Clean air policy solutions will be introduced with success stories, “low hanging fruits” and global challenges for the implementation of these policies. Students will explore global examples of policy approaches and strength and limitations in their own countries. Group work of students will draft strategies to adopt at least one clean air policy."]
["SH022","Swiss School of Public Health","Making sense of troubled healthcare arenas","Online",2,3,"2022-08-26","2022-08-28","300 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cFHS/","This course intends to introduce participants to healthcare provision in crisis, with examples and lessons drawn from violent and impoverished settings, misruled states, migrant populations, divided societies, and degraded environments."]
["SH023","Swiss School of Public Health","Community-based participatory methods in public health","Online",3,3,"2022-08-23","2022-08-25","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cCBPM/","This course aims to provide participants with knowledge about the key principles, methods, concepts and techniques of community-based participatory methods and the practical application of CBPM in the context of public health. Participants will learn how CBPM can be applied in the design, implementation and evaluation of public health programmes (i.e. health promotion, prevention of disease and management of chronic illness). It will also facilitate a space of reflection to examine how CBPM can be used to support the response to the Covid-19 pandemic including vaccination efforts and interventions to tackle health inequalities."]
["SH024","Swiss School of Public Health","Applied Digital Health for Health Systems strengthening Foundations in Digital Health and Clinical Decision Support Systems","Online",3,3,"2022-08-23","2022-08-25","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cDigitalH/","Digital Health (the application of information and communication technology to health) has now a major role in strengthening health systems around the world, including in low and middle income countries. Governments, NGOs and donors are increasingly resorting to digital health interventions to improve access and quality of health information, enhance healthcare processes, achieve better quality of care and improve patient outcomes."]
["SH025","Swiss School of Public Health","NCD control in a global health perspective: Public health and systems strengthening approaches","Online",3,3,"2022-08-23","2022-08-25","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cNCD/","The course addresses public health strategies to curb NCDs, and changes needed in the health care system, with regards to the most cost-effective, affordable and scalable interventions (“best buys”) and health service strengthening approaches. The respective contributions of multisectoral public health interventions vs. changes needed within the health care system are identified and discussed. The focus is on discussing, exposing and contrasting the respective contributions of public health interventions targeting the whole population (relying largely on non-health actors) and measures to strengthen the health system (involving mainly health care actors and focusing on individuals at risk) toward NCD prevention and control."]
["SH026","Swiss School of Public Health","Harnessing systems modelling and simulation to guide strategic health investments and actions","Online",2,3,"2022-08-26","2022-08-28","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cSA/","The last half century has witnessed remarkable advances in computing power, machine intelligence, and emergence of novel means of measurement that have led to new and cheaper technologies, advances in science and industry, and more powerful tools to support the efficient functioning of societies. Private industry and public sectors alike have harnessed these advances in numerous ways, not least of which is to better understand complex systems, solve challenging problems, optimize the allocation of resources, and improve system efficiency, performance, and public safety."]
["SH027","Swiss School of Public Health","Policy Options on Mental Health","Online",2,3,"2022-08-26","2022-08-28","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cMHP/","Good mental health policy will help people, organizations, and governments deal with the novel coronavirus and meet the Sustainable Development Goals (SDGs). The mental health challenges we face are both immediately and long term, and mental health is now conceived as a public good, crucial to attain economic growth, social inclusion, and environmental protection. The prominence of social determinants of mental health and a shift from diagnosis to a dimensional approach provide unique opportunities for mental health promotion, and prevention. Now more than ever, it is imperative that mental health policies align with the SDGs, and implementation efforts embrace and promote multisectoral approaches and actively involve stakeholders."]
["SH028","Swiss School of Public Health","Generating Demand for better public health goods and services: A systems and consumer centered approach","Online",2,3,"2022-08-26","2022-08-28","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cDG/","Day 1 of this course provides an introduction to social marketing. Days 2 and 3 will take participants through the planning process and explore the key principles. Although delivered virtually, the 3-day workshop will be highly interactive with a lot of group activities and breakout sessions, live polls, Q&A time, and case examples used to illustrate key concepts. Participants will also get a chance to work in teams as well as applying the behaviour change tools to their own projects."]
["SH029","Swiss School of Public Health","Multisectoral approaches for health: Implications for Policy and Practice","Online",2,3,"2022-08-26","2022-08-28","800 CHF",null,"http://www.ssph-lugano-summerschool.ch/2021-programme/2021_cMSA/","This course provides an introductory perspective on determinants of health, equity and multisectoral approaches. Building on earlier debates on determinants of health it will discuss why multisectoral approaches and collaboration are needed to advance the Agenda 2030 health goal. Practical examples of multisectoral collaborations will be reviewed in form of group work and case studies to provide the participants with an understanding of different models of multisectoral collaboration, their implications as well as the challenges and ways to overcome them. Participants will be asked to identify and analyse incentives and opportunities for multisectoral action within their own local context."]
["TI344","Timberlake Consultants","Regression Models for Categorical and Limited Dependent Variables","Online",2,2,"2022-03-14","2022-03-15","450 GBP",null,"https://www.timberlake.co.uk/courses/regression-models-categorical-limited-dependent-variables-mar22.html#overview","This workshop is an introduction to regression analysis with categorical dependent variables using the Stata software. It will cover the most commonly used regression models for categorical outcomes: binary logit and probit, ordinal logit, and multinomial logit."]
["TI345","Timberlake Consultants","Regression Modelling using Stata","Online",2,2,"2022-03-25","2022-03-26","450 GBP",null,"https://www.timberlake.co.uk/courses/regression-modelling-using-stata-2022.html#overview","Regression modelling is a fundamental tool in the research box of every economist, econometrician or applied researcher in a variety of fields. Join Dr Malvina Marchese and learn the statistical theory behind linear and non-linear regression methods. These methods are taught with specially chosen datasets, using real examples from macroeconomic and finance research."]
["TI346","Timberlake Consultants","Difference-in-Differences Estimators with Panel Data in Stata","Online",2,2,"2022-03-29","2022-03-31","850 GBP",null,"https://www.timberlake.co.uk/courses/difference-in-differences-panel-data-stata-11nov-22512.html#prices","This course covers difference-in-differences and event study estimators for intervention analysis with panel data. The focus is on using and combining built-in Stata commands to allow simple estimation methods, robust inference, and flexibility in the pattern of treatment effects. We will see how the usual two-way fixed effects approach can be extended in the staggered intervention case to allow for heterogeneous treatment effects across cohort and time. In addition, we will show how to incorporate covariates into the analysis. Simple solutions to violation of the common trends assumption also will be covered. An introduction to event study methods with commonly encountered limited dependent variables – binary, fractional, nonnegative – rounds out the course."]
["TI347","Timberlake Consultants","EViews Modelling and Forecasting Bootcamp","Online",5,5,"2022-04-04","2022-04-08","480 GBP",null,"https://www.timberlake.co.uk/courses/economic-modelling-forecasting-eviews-jan22.html#overview","The Economic Modelling and Forecasting using EViews course consists of theory and practical applications. Each day will teach econometrics from an applied perspective and demonstrate techniques using EViews 12 software. This edition features many new econometric methodologies which have been introduced in EViews 12. Specifically: second-generation panel unit roots tests and machine learning methods for model selection."]
["TI348","Timberlake Consultants","Econometrics of Program Evaluation Using Stata","Online",2,2,"2022-04-11","2022-04-12","450 GBP",null,"https://www.timberlake.co.uk/courses/econometrics-program-evaluation-apr22.html#prices","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods."]
["TI349","Timberlake Consultants","Forecasting Commodity Markets with EViews + Programming","Online",3,3,"2022-04-28","2022-04-30","450 GBP",null,"https://www.timberlake.co.uk/courses/forecasting-commodity-markets-eviews-2022.html#overview","This course offers a comprehensive discussion of the state of the art econometrics in commodity markets. The course offers a theoretical discussion of the models and many practical applications to time series commodity data."]
["TI350","Timberlake Consultants","Reproducible reports from Stata for clinical trials and epidemiological studies","Online",2,2,"2022-05-10","2022-05-11","450 GBP",null,"https://www.timberlake.co.uk/courses/reproducible-reports-stata-may22.html#overview","Many data analysts have started to adopt principles of reproducible research. In essence, the researcher crafts a script, which software can execute to retrace all steps from data cleaning, through analysis, to reporting. This brings the advantage of a clear audit trail, along with time savings when analyses must be amended or run again on new data."]
["SM005","University of Southampton","QGIS: Introductory","Southampton, Veľká Británia",2,2,"2022-03-08","2022-03-09","425 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_IntroQGIS_ClassroombasedJan2022.pdf","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using a leading Open Source GIS software package, QGIS."]
["SM006","University of Southampton","QGIS: Advanced","Southampton, Veľká Británia",2,2,"2022-09-27","2022-09-28","425 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_AdvQGIS_Classroombased_Jan2022.pdf","This online course builds on the delegates existing knowledge of QGIS. It comprises a series of presentations, demos and computer practical sessions using FREE open source GIS software. The example datasets are taken from a variety of fields"]
["SM007","University of Southampton","ArcGIS (ArcMap) Introductory","Online",2,2,"2022-05-10","2022-05-11","550 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_IntroArcGIS.pdf","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using an industry standard GIS software package."]
["SM008","University of Southampton","Introduction to ArcGIS Pro","Online",2,2,"2022-05-24","2022-05-25","550 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_IntroArcGISPro.pdf","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using an industry standard GIS software package."]
["SM009","University of Southampton","ArcGIS Model Builder (ArcMap)","Southampton, Veľká Británia",1,1,"2022-08-31","2022-08-31","290 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_ModelBuilder.pdf"]
["SM010","University of Southampton","QGIS: Introductory","Online",2,2,"2022-06-07","2022-06-08","425 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_IntroQGIS_ClassroombasedJan2022.pdf","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using a leading Open Source GIS software package, QGIS."]
["SM011","University of Southampton","QGIS: Advanced","Online",2,2,"2022-06-21","2022-06-22","425 GBP + VAT",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_AdvQGIS_Classroombased_Jan2022.pdf","This online course builds on the delegates existing knowledge of QGIS. It comprises a series of presentations, demos and computer practical sessions using FREE open source GIS software. The example datasets are taken from a variety of fields"]
["UP001","University of Pisa","Governing climate resilient cities. Challenges, opportunities and best practices.","tbd",5,5,"2022-06-20","2022-06-24","250 EUR","2022-05-06","https://www.unipi.it/index.php/society-economics-and-law/item/13608-summer-school-governing-climate-resilient-cities","This Course is the result of a partnership of UN Habitat and the University of Pisa. It tackles the complex issue of governing climate resilient cities, assessing in a comparative fashion best practices and solutions. The Course targets primarily policy makers, public servants and practitioners, presenting theoretical and academic contents with a hands-on and practical approach."]
["LO268","London School of Economics and Political Science (LSE)","Introductory Microeconomics","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC101","Microeconomics seeks to make sense of the behaviour of individuals, households and firms. It aims to answer questions such as: if incomes rise, how will individuals spend their surplus income, and on what? If the price of goods change, how will household spending habits shift? If the price of oil increases, how will firms react and what impact will this have on the price of goods and services?",null,null,"áno"]
["LO269","London School of Economics and Political Science (LSE)","Intermediate Microeconomics","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC201","Microeconomics aims to understand the behaviour of individuals and firms to interpret how they make decisions given the scarcity of resources. This is especially important for individuals, both in business and government, who have to allocate resources considering a range of factors including labour, supply and demand, economic utility, pricing and productivity.",null,null,"áno"]
["LO270","London School of Economics and Political Science (LSE)","Economics of European Integration","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC235","The economic and political integration of Europe has been one of the most important, impactful, controversial, and misunderstood processes of the past 100 years. European leaders such as Churchill, Adenauer, de Gaulle, and Schuman have seen integration as a means to achieve both peaceful unity and economic success. Their work developed into the European Union (EU) and the increased social, economic and political interdependence of member states. Yet others, including many populist politicians, claim that integration has increased bureaucracy, led to rent-seeking behaviour, and diverted attention from high growth markets elsewhere.",null,null,"áno"]
["LO271","London School of Economics and Political Science (LSE)","Alternative Investments","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM230","In an era of significant institutional and individual market turmoil, investors must look beyond traditional investment vehicles such as bonds and shares. A substantial increase in the price of gold is just one example of a successful alternative investment at work. From hedge funds and private equity, to venture capital funds, real estate and commodities, this course explores how alternative investments can be used as vehicles for growth.",null,null,"áno"]
["LO272","London School of Economics and Political Science (LSE)","Development in the International Political Economy","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR207","Why do some countries get rich but others remain poor? Will trade wars and climate change slow down economic growth? How can we build democracy and gender equality in poorer countries? These are some of the challenges faced by global leaders and explains why International Development studies is now a growing field of social sciences and a focus of public policy.",null,null,"áno"]
["LO273","London School of Economics and Political Science (LSE)","International Political Economy: States and Markets in the 21st Century","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR209","How has COVID-19 transformed the global political economy? Is globalisation responsible for the rise of populism in the West? How will the geopolitical rivalry between China and the United States shape global business? Why have governments failed to take sufficient action to prevent climate change? The study of International Political Economy (IPE) examines the interactions between markets and politics, and aims to answer some of these important questions.",null,null,"áno"]
["LO274","London School of Economics and Political Science (LSE)","Introduction to Statistics: Understanding the World through Data","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME116","This is an introductory course on statistics and how it can help us answer the kind of questions that arise when we want to better understand the world. We will use real-world examples from the social and natural sciences to establish the foundations of probability and distribution theory, and introduce important statistical skills, from descriptive statistics to sampling and inference. In addition to these examples, we will conduct interactive experiments in the classroom to demonstrate the use of key techniques.",null,null,"áno"]
["LO275","London School of Economics and Political Science (LSE)","Computational Methods in Financial Mathematics","Londýn, Veľká Británia ",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME200","Derivative pricing, investment decisions and financial risk management rely on stochastic models describing financial markets. In these models, quantities of interest such as the price of a financial product often need to be approximated using computational methods. This is a hands-on course in which such methods are introduced and implemented. A particular focus of the course is on Monte Carlo methods, i.e., simulation methods to approximate integrals and expectations of random variables.",null,null,"áno"]
["LO276","London School of Economics and Political Science (LSE)","Business Analysis and Valuation","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Accounting/AC215","Accurate business analysis and valuation is essential in determining the long-term health and future value of a firm. This information is critical for investors, senior managers, fund managers and private investors who need to make strategic decisions based on quantitative data and sound valuation methods.",null,null,"áno"]
["LO277","London School of Economics and Political Science (LSE)","Management Analytics in the Age of Big Data","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Business-and-Management/MG107","Big Data and the rise of AI technology have the potential to transform firms, markets and even entire societies. This poses significant questions: What will the managerial landscape look like as data-intensive technologies proliferate? How should managers approach data and statistical analysis in this age?",null,null,"áno"]
["LO278","London School of Economics and Political Science (LSE)","Business Strategy in International and Emerging Markets","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Business-and-Management/MG206","How do firms based in wealthy economies successfully interact with partners or competitors in low-income countries? How do companies in emerging markets penetrate in high-income markets? Does the institutional environment in emerging economies affect the optimal strategies of global firms? This course is an introduction to strategic management of global firms and aims to answer some of the important questions in international trade and sourcing, sustainable practices, strategic management and performance differences of firms. You will study the patterns of business globalisation and analyse the successful strategies of firms facing the challenges imposed by the international integration of markets and production processes.",null,null,"áno"]
["LO279","London School of Economics and Political Science (LSE)","Introductory Macroeconomics","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC102","This course takes both a short and a long-term view of the economy, and aims to help you understand recent developments in macroeconomics using graphic analysis and simple algebra.",null,null,"áno"]
["LO280","London School of Economics and Political Science (LSE)","Introduction to Behavioural Economics","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC200","This course will provide students with a clear introduction to the principles and methods of Behavioural Economics. Behavioural economics considers the ways that people are more social, more impulsive, less adept at using information, and more susceptible to psychological biases than the standard economic models assume.  We will explore key departures, and the consequences for individuals, firms, and policy.",null,null,"áno"]
["LO281","London School of Economics and Political Science (LSE)","Intermediate Macroeconomics","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC202","This course aims to bring you up to date with modern developments in macroeconomic theory and offer fresh perspectives on the macroeconomic challenges of the day. ",null,null,"áno"]
["LO282","London School of Economics and Political Science (LSE)","Environmental Economics & Sustainable Development","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC240","Environmental economics & Sustainable Development are at the cutting-edge of economic research and teaching dealing with some of the most pressing issues of our time, such as Climate Change.",null,null,"áno"]
["LO283","London School of Economics and Political Science (LSE)","The Political Economy of Public Policy","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC260","This course enhances a student’s understanding of the characteristics, determinants and consequences of public-policy making in liberal democracies. ",null,null,"áno"]
["LO284","London School of Economics and Political Science (LSE)","Public Finance","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC270","This course provides a broad, up-to-date introduction to the economic analysis of public policy issues.",null,null,"áno"]
["LO285","London School of Economics and Political Science (LSE)","Development Economics","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC307","In a world composed of similar people, why is it that we live in relative comfort while about 1.4 billion people live on less than $1 a day?  And, more importantly, what can be done about it?",null,null,"áno"]
["LO286","London School of Economics and Political Science (LSE)","Applied Econometrics and Big Data","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC320","This course will provide a solid grounding in recent developments in applied micro-econometrics, including state-of-the art methods of applied econometric analysis. Some of these methods are related to work by recent Nobel Prize in Economics winners J. Angrist, D. Card and G. Imbens. ",null,null,"áno"]
["LO287","London School of Economics and Political Science (LSE)","Analysis and Management of Financial Risk","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM202","Companies must take risks if they are to survive and prosper. The primary role of risk management is to understand and manage these risks.",null,null,"áno"]
["LO288","London School of Economics and Political Science (LSE)","Fixed Income Securities, Debt Markets and the Macro Economy","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM225","This course helps to develop the relevant knowledge and understanding of fixed income instruments and interest rate models for students aiming for a career in the fixed income field. ",null,null,"áno"]
["LO289","London School of Economics and Political Science (LSE)","Probability and Statistics for Economics and Econometrics","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME117","The course provides a precise and accurate treatment of probability, distribution theory and statistical inference.",null,null,"áno"]
["LO290","London School of Economics and Political Science (LSE)","Real Analysis","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME306","Real Analysis is an area of mathematics that was developed to formalise the study of numbers and functions and to investigate important concepts such as limits and continuity. These concepts underpin calculus and its applications. Real Analysis has become an indispensable tool in a number of application areas. In particular, many of its key concepts, such as convergence, compactness and convexity, have become central to economic theory.",null,null,"áno"]
["LO291","London School of Economics and Political Science (LSE)","Introduction to Data Science and Machine Learning","Londýn, Veľká Británia ",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME314","Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge and computer programming. Organisations are turning to customer data in order to innovate and respond quickly to shifts in the market. Meanwhile, Governments are using to data to help guide policy decisions, making this a prime area for social scientists with an interest in quantitative methods.",null,null,"áno"]
["LO292","London School of Economics and Political Science (LSE)","Introduction to Econometrics","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC212","Everyone agrees that evidence-based policy is likely to be more constructive and effective than that based on dogma or fancy.",null,null,"áno"]
["LO293","London School of Economics and Political Science (LSE)","Advanced Econometrics","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC312","This course will present an advanced treatment of econometric principles for cross-sectional, panel and time-series data sets.",null,null,"áno"]
["LO294","London School of Economics and Political Science (LSE)","Alternative Investments","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM230","In an era of significant institutional and individual market turmoil, investors must look beyond traditional investment vehicles such as bonds and shares. A substantial increase in the price of gold is just one example of a successful alternative investment at work. From hedge funds and private equity, to venture capital funds, real estate and commodities, this course explores how alternative investments can be used as vehicles for growth.",null,null,"áno"]
["LO295","London School of Economics and Political Science (LSE)","Finance","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM250","Corporate finance involves the structure of capital and funding sources that ultimately impact the financial health of a firm. Through the analysis of short and long-term financial objectives, companies need to create strong financial plans to ensure sustained growth. Having a comprehensive grounding in corporate finance will increase your ability to make robust business decisions based on sound financial principles.",null,null,"áno"]
["LO296","London School of Economics and Political Science (LSE)","International Migration, Social Conflict and Public Policy","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR204","The course will offer a multidisciplinary approach to the topical subject of international migration, its causes and consequences, and the challenges it presents to policy makers",null,null,"áno"]
["LO297","London School of Economics and Political Science (LSE)","Public Policy Analysis","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR214","How do politics and institutions shape public policy? How and why does policy change? How does bureaucracy work, and how might it be reformed? These are some of the important questions this course addresses using theories and methods of public policy analysis using a global lens.",null,null,"áno"]
["LO298","London School of Economics and Political Science (LSE)","Global Health: Science, Politics and Development","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR218","The course will provide an up-to-date and comprehensive introduction to global health and the politics of global health in low and middle-income countries. Linking policy and social theory with empirical evidence, the course is grounded in past and current events in global health. The course examines the main determinants of health as they relate to development and their principal consequences, policies and their politics to improve health and development; barriers to implementing those policies; and identifying ways of overcoming those barriers.",null,null,"áno"]
["LO299","London School of Economics and Political Science (LSE)","Qualitative Research Methods","Londýn, Veľká Británia ",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME305","The purpose of this course is to equip participants with the skills to be able to sensitively and critically design, carry out, report, read, and evaluate qualitative research projects.",null,null,"áno"]
["LO300","London School of Economics and Political Science (LSE)","Behavioural Economics and the Modern Economy","Londýn, Veľká Británia ",5,5,"2022-06-13","2022-06-18","6295 GBP","2022-06-06","https://www.lse.ac.uk/study-at-lse/executive-education/programmes/behavioural-economics-and-the-modern-economy","Behavioural Economics and the Modern Economy is an intensive, five-day learning experience that expertly integrates academic theory and hands-on, practical business application of the concepts and ideas explored. The programme brings together executives and decision-makers from diverse sectors, organisations and geographies at the LSE campus in central London. Together you will explore the concepts using contemporary case studies, group work discussion and highly interactive sessions with faculty. You also benefit from supported networking sessions each day to help you build out your global business connections. The programme is led by LSE faculty, world experts in behavioural economics, psychology and economics, public finance and health economics and behavioural game theory.",null,null,"áno"]
["OU022","University of Oxford","Data Manipulation and Processing with R","Online",2,2,"2022-04-12","2022-04-13","100 GBP",null,"https://www.conted.ox.ac.uk/courses/data-manipulation-and-processing-with-r?code=O21P268COJ","In this training course the theoretical and practical aspects of several key Excel and SQL-like processes are covered. The training makes sure the trainee is taught what a process does (i.e. its purpose and what results should look like) as well as how to do it in R (sometimes how to perform the same operation in different ways). "]
["OU023","University of Oxford","Macroeconomics: Keynes and the Monetarists","Oxford, Anglicko",5,8,"2022-07-09","2022-07-16","1485 GBP",null,"https://www.conted.ox.ac.uk/courses/macroeconomics-keynes-and-the-monetarists?code=O21I107SSR","Once students have completed this course, they will have a firm grasp of the Principles of Macroeconomics at 1st Year undergraduate level. Furthermore, students will have gained the knowledge to be able to evaluate the impact on national income of both demand side and supply side policies. The course will emphasise the role of Keynesian economic policies on the world economy in the post-war period as well as after the Global Credit Crunch of 2008. The Eurozone Crisis of 2011 will also be used as a case study to allow become familiar with the role of macroeconomic policies in a European context.","Uvedená cena zahŕňa samostatnú izbu a jedlo v cene, inak sa cena pohybuje od 850 do 1600 GBP","áno","áno - esej/prezentácia"]
["OU024","University of Oxford","Macroeconomics: Keynes and the Monetarists","Oxford, Anglicko",5,8,"2022-08-06","2022-08-13","1485 GBP",null,"https://www.conted.ox.ac.uk/courses/macroeconomics-keynes-and-the-monetarists?code=O21I107SSR","Once students have completed this course, they will have a firm grasp of the Principles of Macroeconomics at 1st Year undergraduate level. Furthermore, students will have gained the knowledge to be able to evaluate the impact on national income of both demand side and supply side policies. The course will emphasise the role of Keynesian economic policies on the world economy in the post-war period as well as after the Global Credit Crunch of 2008. The Eurozone Crisis of 2011 will also be used as a case study to allow become familiar with the role of macroeconomic policies in a European context.","Uvedená cena zahŕňa samostatnú izbu a jedlo v cene, inak sa cena pohybuje od 850 do 1600 GBP","áno","áno - esej/prezentácia"]
["OU025","University of Oxford","Introduction to Synthesising Qualitative Research","Oxford, Anglicko",5,5,"2022-06-27","2022-07-01","2570 GBP","2022-04-29","https://www.conted.ox.ac.uk/courses/introduction-to-synthesising-qualitative-research?code=O21C045B9Y","The course will explore key approaches to undertaking a qualitative synthesis (e.g. meta-ethnography and thematic synthesis); sessions will be delivered by researchers who can draw on their real-world experiences of conducting such a review and their applicability to clinical practice. We will discuss issues associated with qualitative synthesis, including debates around quality and rigour and patient involvement. We will also cover how best to locate qualitative research to include in a review, delivered by a librarian with expertise in this area.","kurz sa skladá okrem F2F aj s prípravného týždňa a 4 lekcíí naďialku","nie","áno - záverečná práca"]
["OU026","University of Oxford","Qualitative Research Methods","Oxford, Anglicko",5,5,"2022-06-27","2022-07-01","2570 GBP","2022-06-10","https://www.conted.ox.ac.uk/courses/qualitative-research-methods?code=O21C200B9Y","This module will provide an introductory overview of the principles and practice of qualitative research. Students will explore how people make sense of their lives, and recognise ways in which qualitative research bridges the gap between scientific evidence and clinical practice by examining the attitudes, beliefs, and preferences of both patients and practitioners. Participants will be introduced to the concepts underpinning qualitative research, learn to collect data using fundamental methods, including observation, interview and focus groups and become familiar with the techniques of thematic qualitative data analysis.",null,"nie","áno - záverečná práca"]
["CL039","University College London (UCL)","Data Science and Big Data Analytics (Level 2)","Londýn, Anglicko",15,19,"2022-07-04","2022-07-22","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/data-science1","Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world data and answer policy-relevant questions.","2 sessions = 4000 GBP","nie","áno"]
["CL040","University College London (UCL)","Data Science and Big Data Analytics (Level 2)","Londýn, Anglicko",15,19,"2022-07-25","2022-08-12","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/data-science","Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world data and answer policy-relevant questions.","2 sessions = 4000 GBP","nie","áno"]
["CL041","University College London (UCL)","Health Data Science and Data Analytics in Healthcare (Level 2)","Londýn, Anglicko",15,19,"2022-07-25","2022-08-12","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/health-data-science","Health Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming in the area of healthcare and biomedicine. One of the main challenges for businesses, research institutes, and policy makers when using big health data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world health data.\n\n","2 sessions = 4000 GBP","nie","áno"]
["CL042","University College London (UCL)","Statistics with R and RStudio\n","Londýn, Anglicko",15,19,"2022-07-25","2022-08-12","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/statistics-rstudio","We are exposed to statistical data on a daily basis in the form of opinion polls, economic forecasts, reports on the effect of diet and lifestyle on life expectancy and disease risk, debates over the evidence for climate change, among others. This module introduces statistics and the free software R/RStudio to students with no previous knowledge of mathematics beyond high school level. The module also assesses the uses, misuses and limitations of statistical methods. Topics range from basic descriptive statistics to more advanced topics including multivariate analysis, logistic regression, and model optimisation. As additional skills, students are introduced to professional-standard plotting resources, basic programming functions in R, and the user-friendly RStudio interface.","2 sessions = 4000 GBP","nie","áno"]
["CL043","University College London (UCL)","Principles of Microeconomics","Londýn, Anglicko",15,19,"2022-07-04","2022-07-22","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/principles-microeconomics","This module provides an introduction to the concepts that underlie modern economic analysis. The module will begin with the concept of opportunity cost, proceeding to optimal decision-making at the level of an individual consumer. Similar analysis will describe the optimal behaviour of an individual firm, distinguishing competitive and non-competitive market structures. The theoretical coverage will be supplemented with real-life examples, including a visit to one of the London's markets (e.g. London Metal Exchange) where students can observe a live application of the theoretical concepts.","2 sessions = 4000 GBP","nie","áno"]
["CL044","University College London (UCL)","Principles of Macroeconomics","Londýn, Anglicko",15,19,"2022-07-25","2022-08-12","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/principles-macroeconomics","This module in introductory macroeconomics enables further formal study. Students understand models and apply them to problems.","2 sessions = 4000 GBP","nie","áno"]
["CL045","University College London (UCL)","Urban Environmental Politics","Londýn, Anglicko",15,19,"2022-07-04","2022-07-22","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/urban-environmental-politics","As the planet’s land use and human population become increasingly urban, environmental problems and politics of cities are evermore critical for improving socio-environmental relationships and outcomes. Thus, this module will explore the urban political conflicts of environmental issues like climate change, air pollution, water quality/quantity, resource and energy use, waste disposal, and more. Using a range of case studies from around the world and beginning with some of the contested material flows of resources that both transform and comprise cities, the module then will move to address politicized ideas of nature, conservation, and habitats in the city while concluding with discussions of human agency and responses to the uneven social impacts of urban environmental problems.","2 sessions = 4000 GBP","nie","áno- esej"]
["CL046","University College London (UCL)","Health Data Science and Data Analytics in Healthcare (Level 2)","Londýn, Anglicko",15,19,"2022-07-25","2022-08-12","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/health-data-science","Health Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming in the area of healthcare and biomedicine. One of the main challenges for businesses, research institutes, and policy makers when using big health data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world health data.","2 sessions = 4000 GBP","nie","áno"]
["CL047","University College London (UCL)","Making Policy in International Development","Londýn, Anglicko",15,19,"2022-07-04","2022-07-22","2290 GBP",null,"https://www.ucl.ac.uk/prospective-students/summer-school/modules/making-policy-international-development","This module deals with the empirical reality, theory, and current governance problems of development, poverty, and inequality. Specifically, throughout the course we will investigate the influence of colonialism, state capacity, regime type, war and conflict, accountability, social structures, and corruption on development. This course engages with both economic theory regarding development and political science research that highlights the challenges to implementing the policies that would lead to economic development. We take these theories and use to them to then think about and develop research-informed policies that promote development.\n\n","2 sessions = 4000 GBP","nie","áno- esej"]
["CL048","University College London (UCL)","Analysing 2x2 Tables: Chi-Square Test and Beyond","Online",2,2,"2022-07-04","2022-07-05","125 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/analysing-2x2-tables-chi-square-test-and-beyond","When faced with exploring the relationship between two binary variables (e.g. comparing the percentage who test positive between two treatment groups, or between two subgroups such as males and females) it's common to display this as a 2x2 table and use a chi-square test to determine the statistical significance of any difference. Chi-square tests are commonly used to compare the percentage of individuals in two groups who share a trait.",null,null,"nie"]
["CL049","University College London (UCL)","ANOVA: General Linear Models (GLMs) with SPSS","Online",2,2,"2022-07-11","2022-07-12","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/anova-general-linear-models-glms-spss","This online short course on analysis of variance (ANOVA) takes a hands-on approach to learning. You'll learn how to choose, run, interpret and report a variety of ANOVA models available in SPSS within the general linear model (GLM) function.",null,null,"nie"]
["CL050","University College London (UCL)","Critical Appraisal","Online",2,2,"2022-05-06","2022-05-07","150 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/critical-appraisal","This short course aims to improve your ability to critically appraise published research - a key skill for anyone involved in using and/or undertaking research. You'll look at the importance of defining a meaningful research question, and the key factors involved in answering a research question in an efficient and valid way. The topics covered will help you design your own research study and/or evaluate existing published material.",null,null,"nie"]
["CL051","University College London (UCL)","Dealing with Missing Data in Research Studies: an Introduction","Online",3,3,"2022-06-14","2022-06-16","225 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/dealing-missing-data-research-studies-introduction","Missing data are very common in research studies, but ignoring these cases can lead to invalid and misleading conclusions being drawn. This workshop gives you guidance on how to deal with missing values and sets out the best ways of analysing an incomplete dataset.","3 deň dobrovoľný",null,"nie"]
["CL052","University College London (UCL)","Meta-analysis: an Introduction","Online",3,3,"2022-05-30","2022-06-01","225 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/meta-analysis-introduction","This short course provides an overview of meta-analysis from a statistician's point of view. By the end of the course you should be able to conduct a meta-analysis of your own and interpret the results of meta-analyses published in journal articles.","3 deň dobrovoľný",null,"nie"]
["CL053","University College London (UCL)","Logistic Regression: an Introduction","Online",2,2,"2022-06-09","2022-06-10","150 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/logistic-regression-introduction","This short course focuses on understanding the principles of logistic regression using the notions of odds, odds ratios and transformations. It includes discussion of how good the given model is, and ways of improving it.",null,null,"nie"]
["CL054","University College London (UCL)","R: an Introduction","Online",2,2,"2022-05-16","2022-05-17","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/r-introduction","This course is aimed at researchers who want to learn how to use the statistical software R. You'll be introduced to the R interface and the R language in order to conduct statistical analysis - from reading-in your datasets to performing all mainstream statistical tests.",null,null,"nie"]
["CL055","University College London (UCL)","R: Further Topics","Online",2,2,"2022-07-13","2022-07-14","200 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/r-further-topics","This course is for those familiar with the basics of the statistical software R and want to learn how to use R's advanced features. You should have basic knowledge of R programming and statistics (e.g. mean, median, confidence intervals).\n\n",null,null,"nie"]
["CL056","University College London (UCL)","Regression Analysis: an Introduction","Online",4,4,"2022-05-24","2022-05-27","275 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/regression-analysis-introduction","This introductory course gives you an overview of regression types and details the application of multiple linear regression. The main part of the course focuses on the theory behind regression analysis, in particular linear regression, and covers the formulation, interpretation and validation of linear regression models.","2 dni dobrovoľné",null,"nie"]
["CL057","University College London (UCL)","SPSS: an Introduction","Online",2,2,"2022-05-19","2022-05-20","200 GBP",null," https://www.ucl.ac.uk/short-courses/search-courses/spss-introduction","This course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs. It's suitable for those with little or no experience of SPSS, or those who want a refresher. A basic knowledge of statistics will be helpful",null,null,"nie"]
["CL058","University College London (UCL)","Sample-Size Estimation and Power Calculations","Online",2,2,"2022-06-06","2022-06-07","175 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/sample-size-estimation-and-power-calculations","This short course covers the basics of sample-size estimation, including both precision and power estimation approaches. It's likely to be useful to those embarking on a research project, or trying to complete ethics and grant application forms. You'll carry out practical workshop exercises using Excel sheets.",null,null,"nie"]
["CL059","University College London (UCL)","Survival Analysis (Time-to-Event Data): an Introduction","Online",2,2,"2022-06-27","2022-06-28","150 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/survival-analysis-time-event-data-introduction","Survival/time-to-event analysis is appropriate when the outcome of interest is an event and that event has not occurred for everyone in the dataset. The outcome can be something negative (e.g. death, recurrence of a tumour) or something positive (e.g. recovery, task completion). The simplest analysis is the log-rank test that assesses differences according to a single factor. Cox proportional hazards regression is appropriate to investigate the rate at which the event occurs according to several potential predictors. Both will be covered in this course.",null,null,"nie"]
["CL060","University College London (UCL)","Statistics and Research Methods: an Introduction","Online",5,5,"2022-05-09","2022-05-13","750 GBP",null,"https://www.ucl.ac.uk/short-courses/search-courses/statistics-and-research-methods-introduction","This five-day short course will give you a comprehensive introduction to the fundamental aspects of research methods and statistics. It's suitable for those new to quantitative research. You'll look at topics ranging from study design, data type and graphs through to choice and interpretation of statistical tests - with a particular focus on standard errors, confidence intervals and p-values.",null,null,"nie"]
["ET002","ETH Zurich","Risk Day 2022 ","Zurich, Švajčiarsko",1,1,"2022-09-16","2022-09-16",0,"júl/august","https://risklab.ethz.ch/news-and-events/risk-day.html","The Risk Day is a daylong conference that brings together researchers, practitioners, regulators and students with an interest in current topics of risk management in banking, investing and insurance.",null,"nie"]
["IL002","Imperial College London","Summer School: Machine Learning & Applied Statistics","Londýn, Anglicko",15,19,"2022-07-04","2022-07-22","2350 GBP",null,"https://www.imperial.ac.uk/business-school/programmes/summer-school/courses/machine-learning-and-applied-statistics/","Machine Learning & Applied Statistics Summer School will introduce you to a range of quantitative methods from mathematics, statistics and computing and will enable you to use these methods in applications in various fields including finance and bioimaging.","Early bird: 2115 GBP  pred 22.4.2022","nie","áno"]
["UN290","University of Copenhagen","Introduction to Social Data Science","Kodaň, Dánsko",17,22,"2022-08-01","2022-08-23","6000 DKR","2022-04-01","https://kurser.ku.dk/course/a%c3%98kk08216u/2021-2022","The objective of this course is to learn how to analyze, gather and work with quantitative social science data. Increasingly, social data that capture how people behave and interact with each other, is available online in new, challenging forms and formats. This opens up the possibility of gathering large amounts of interesting data, to investigate existing theories and new phenomena, provided that the analyst has sufficient computer literacy while at the same time being aware of the promises and pitfalls of working with various types of data.","Možné registrovať aj neskôr (1.6.) ak nebude naplnená kapacita","nie","áno - skupinový projekt"]
["UN291","University of Copenhagen","Behavioral and Experimental Economics","Kodaň, Dánsko",16,22,"2022-08-01","2022-08-22","6000 DKR","2022-04-01","https://kurser.ku.dk/course/a%c3%98ka08107u/2021-2022","Behavioral economics attempts to make economics a more relevant and powerful science of human behavior by integrating insights from psychology and the social sciences into economics. Experimental economics adapts methods developed in the natural sciences to study economic behavior. Experiments are valuable in testing to what extent the integration of insights from other disciplines into economics is necessary and fruitful. Behavioral and Experimental Economics is a vibrant field of research in economics and sheds new light on many old and important issues in economics. The field has received wide recognition in recent years, for example by the award of the Nobel Prize in Economics 2002 to Daniel Kahneman and Vernon Smith. The field is rapidly growing. This course can therefore not provide a comprehensive overview but concentrates on selected topics instead.","Možné registrovať aj neskôr (1.6.) ak nebude naplnená kapacita","nie","áno"]
["UN292","University of Copenhagen","Managing and Analyzing Data in Social Science","Kodaň, Dánsko",15,19,"2022-08-01","2022-08-19","6375 DKR","2022-04-01","https://kurser.ku.dk/course/nifk19006u/2021-2022","You will be introduced to concepts, terminology and methods relevant to handling data and spatial information in R and QGIS. At course end, you will have a toolbox of scripts enabling you to optimise data management procedures by looping through data and using vector oriented iterative processes. You will work in R studio writing and debugging code for merging datasets, data cleaning and coding of different types of variables as well as overlaying spatial layers.","Možné registrovať aj neskôr (1.6.) ak nebude naplnená kapacita","nie","áno"]
["UN293","University of Copenhagen","Qualification Course in Econometrics","Online",10,12,"2022-08-08","2022-08-19","6375 DKR","2022-04-01","https://kurser.ku.dk/course/nifb19000u/2021-2022","The course consists of a limited number of lectures, a larger number of teacher-made but self-organized exercises and a lot of independent work and self-study. Learning how to apply econometrics to interesting economic problems quite naturally entails working with economic data. Therefore, a large part of the course focuses on acquainting students with the R programming language, the success of which largely depends on the time and effort the students spend on it. The final learning outcome is therefore closely linked to the students’ ability to work independently and thoroughly with the supplied material.","Možné registrovať aj neskôr (1.6.) ak nebude naplnená kapacita",null,"áno - písomná práca"]
["UD001","University of Edinburg","Global Health Policy","Edinburg,Škótsko",19,25,"2022-07-04","2022-07-28","3710 GBP","2022-05-23","https://www.ed.ac.uk/lifelong-learning/our-programmes/summer-school-home/study/credit-courses/global-health-policy","Students will learn about the key processes governing global health policy and explore topics such as infectious diseases, epidemics and pandemics, humanitarian health, and the impact of climate change on population health.",null,"nie","áno- esej"]
["KC005","King's College London","Approaches to Policymaking","Online",19,25,"2022-05-10","2022-06-03","950 GBP","2022-04-19","https://www.kcl.ac.uk/short-courses/approaches-to-policymaking","Students will be introduced to the policy process: how public policies are decided upon and implemented. Making policy requires the agreement and participation of many actors, such as politicians, bureaucrats, agency heads and staff, interest groups representatives, journalists, judges, local government heads, and citizen groups as well as international actors. "]
["KC006","King's College London","Key Models in Public Management: A Comparative Analysis","Online",19,25,"2022-05-10","2022-06-03","950 GBP","2022-04-19","https://www.kcl.ac.uk/short-courses/key-models-in-public-management-a-comparative-analysis","Based on a rich range of international and UK examples, this module discusses and critiques a range of key academic models on public management. Using these models, we will consider their potential application in direct response to a variety of public problems."]
["MI001","University of Munich","Summer School - Financial Statement Analysis and Valuation (FAV)","Online/Mníchov",12,14,"2022-07-25","2022-08-12","850 EUR","2022-05-01","https://www.fav-misu.de/en/content/fav_home","This course aims at making you familiar with firms’ financial statements and financial statement analysis by enabling you to read and analyze them to your professional benefit. Hence, you will learn to consume, analyze and forecast financial statements. Adopting a user perspective, we move beyond the technical aspects of financial reporting and preparing accounts. Instead, based on these fundamentals, you are able to understand the firm’s past business activities through the lens of financial statements. The course seeks to enable you to forecast a firm’s future business activities and to conduct a sound fundamental equity valuation to challenge market prices of real-world companies.","350 EUR registračný poplatok, ubytovanie 450 EUR","nie","áno- písomá práca+prezentácia"]
["UT336","Utrecht University","Exploring Culture through Data: Digital methods & Data practices","Online",5,5,"2022-07-18","2022-07-22","1000 EUR","2022-07-08","https://utrechtsummerschool.nl/courses/humanities/exploring-culture-through-data-digital-methods-data-practices","This course will acquaint you with (methodological) fundamentals of data practices in the Digital humanities. These will include data collection, data preparation, data visualisation, critical data and algorithm studies and network analysis. You’ll get an introduction to Python and Tableau and you learn to apply a Critical Data Perspective. Don’t be scared. You don’t need prior skills in data methods. Do you have a strong willingness to learn? Perfect. You definitely will learn a lot. Besides training these skills, you will work in small teams on a hands-on case. To top it off, guest speakers from several fields will share their experiences with data practices."," ","nie","nie"]
["UT337","Utrecht University","Network Science","Utrecht, Holandsko",5,5,"2022-07-18","2022-07-22","720 EUR","2022-07-04","https://utrechtsummerschool.nl/courses/social-sciences/network-science","This course introduces concepts and tools in network science. The objective of the course is that participants acquire hands-on knowledge on how to analyze different types of networks. Participants will be able to understand when a network approach is useful, understand different types of networks, understand the differences and similarities between a Complex Networks and a Social Network Analysis approach, describe network characteristics, infer edges or node attributes, and explore dynamical processes in networks.","200 EUR bývanie","nie","nie"]
["UT338","Utrecht University","Data Science: Programming with Python","Utrecht, Holandsko",5,5,"2022-07-18","2022-07-22","720 EUR","2022-07-04","https://utrechtsummerschool.nl/courses/social-sciences/data-science-programming-with-python","programming is the process of designing and building an executable computer program for accomplishing a specific computational task. The course will introduce you to programming with Python, which is currently one of the most popular programming languages in (data) science. After familiarization with the basics (input and output, variables, data types, data structures, conditional branching, loops, functions, etc.) the course will address specific data science topics, such as statistical analyses with the pandas package and data visualization with matplotlib.","200 EUR bývanie","nie","nie"]
["UT339","Utrecht University","Survey Research: Statistical Analysis and Estimation","Utrecht, Holandsko",5,5,"2022-08-22","2022-08-26","720 EUR","2022-08-08","https://utrechtsummerschool.nl/courses/social-sciences/survey-research-statistical-analysis-and-estimation","Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey analysis and estimation and is organised by the Department of Methodology and Statistics (UU) in collaboration with Statistics Netherlands (CBS). Lectures, practical applications, and computer classes are alternated. The course is intended for advanced students and professionals in such fields as social and behavioral research, marketing, business, health sciences, and official statistics. The course aims at researchers who intend to design and analyse their own survey, but also at researchers who analyse secondary data sets, such as the European Social Survey (ESS) or the International Social Survey Program (ISSP).","200 EUR bývanie","nie","nie"]
["UT340","Utrecht University","Methodology in Health Economic Evaluation","Utrecht, Holandsko",5,5,"2022-06-20","2022-06-24","890 EUR",null,"https://www.uu.nl/en/professionals/programmes/methodology-in-health-economic-evaluation","Participants will be introduced to the main approaches to economic evaluation, the measurement of costs and effects, including quality of life measurements, economic modeling, and uncertainty analyses. Participants will also learn to assess economic evaluations as published in the literature."," ","nie","nie"]
["UT341","Utrecht University","Data Science: Statistical Programming with R","Utrecht, Holandsko",5,7,"2022-07-04","2022-07-08","720 EUR","2022-06-20","https://utrechtsummerschool.nl/courses/social-sciences/data-science-statistical-programming-with-r","R is a very popular and powerful platform for data manipulation, visualization, and analysis and has a number of advantages over other statistical software packages. A wide community of users contribute to R, resulting in broad coverage of statistical procedures, including many that are not available in any other statistical program. However, R lacks standard GUI menus from which to choose what statistical test to perform or which graph to create. Consequently, R is more challenging to master. This course will help flatten the learning curve for those who wish to begin working with R by offering an elaborate introduction to statistical programming in R.","200 EUR bývanie","nie ","nie"]
["UT342","Utrecht University","Hands-on GIS for Earth Scientists","Utrecht, Holandsko",10,12,"2022-07-04","2022-07-15","560 EUR","2022-06-16","https://utrechtsummerschool.nl/courses/science/hands-on-gis-for-earth-scientists","In this 'hands on' course the emphasis lays on working with GIS and existing spatial datasets (national and global) together with a theoretical embedding. The software used is ESRI ArcGIS Pro, PCRaster. ERDAS/IMAGINE, Lastools, Agisoft.","350 EUR bývanie","nie","nie"]
["UT343","Utrecht University","Introduction to Structural Equation Modeling using Mplus","Utrecht, Holandsko",5,7,"2022-07-04","2022-07-08","720 EUR","2022-06-20","https://utrechtsummerschool.nl/courses/social-sciences/introduction-to-structural-equation-modeling-using-mplus","The course starts with an introduction on how to use Mplus to perform regression analysis and how to ‘communicate’ with Mplus (e.g., how to specify a model, and how to deal with error messages). In the following days basic models relevant for social scientists will be discussed, including multiple group models, confirmatory factor analysis, and cross-lagged panel models, and important topics such as moderation, mediation and testing for measurement invariance are covered. On the last day participants can meet with Mplus experts for individual consultation, and work on their own data. On the other days, the morning session consists of lectures, and the afternoon session of a computer lab where participants practice with Mplus.","200 EUR bývanie","nie","nie"]
["UT344","Utrecht University","Introduction to Multilevel Analysis","Utrecht, Holandsko",3,3,"2022-07-06","2022-07-08","510 EUR","2022-06-22","https://utrechtsummerschool.nl/courses/social-sciences/introduction-to-multilevel-analysis","This course will teach you the theoretical basics of multilevel modelling and some important methodological and statistical issues. You will also learn how to analyse multilevel data sets with the HLM, Mplus and R programmes, to interpret the output and to report the results. The benefits of multilevel analysis are discussed both in theory as with empirical examples. This course restricts to a quantitative (i.e. continuous) outcome variable. Categorical outcomes are part of the course Advanced Multilevel.","200 EUR bývanie","nie","nie"]
["UT345","Utrecht University","Advanced Multilevel Analysis","Utrecht, Holandsko",3,3,"2022-07-11","2022-07-13","510 EUR","2022-06-26","https://utrechtsummerschool.nl/courses/social-sciences/advanced-multilevel-analysis","This three-day course will teach you advanced topics in multilevel modelling. It  builds upon the contents of the other summer school course “Introduction to multilevel analysis”. It consists of three days with lectures in the morning and computer labs in the afternoon. After taking this course, you should be able to analyse more complex multilevel models and to interpret and report the results.","200 EUR bývanie","nie","nie"]
["UT346","Utrecht University","Contemporary Conflict Analysis: Actors, Issues & Technologies of 21st Century Warfare","Utrecht, Holandsko",10,12,"2022-07-11","2022-07-22","860 EUR","2022-06-01","https://utrechtsummerschool.nl/courses/social-sciences/contemporary-conflict-analysis-actors-issues-technologies-of-21st-century","Throughout the course we will address pressing questions in contemporary warfare like: How are terrorist organisations able to mobilize people towards violent action? Why do states outsource violence to paramilitaries, private military companies and drones? What does it mean when algorithms define who is worthy of elimination and protection in violent conflict? What is the relationship between civilian harm and new cycles of violence? What are the consequences of Europe’s securitization of people displaced by violence? How do academics, practitioners and war journalists conduct research and report on these issues?  ","350 EUR","nie","nie"]
["UT347","Utrecht University","Data Science: Multiple Imputation in Practice","Utrecht, Holandsko",4,4,"2022-07-11","2022-07-14","615 EUR","2022-06-27","https://utrechtsummerschool.nl/courses/social-sciences/data-science-multiple-imputation-in-practice","This course will explain a modern and flexible imputation technique that is able to preserve important features in the data. The aim of this course is to enhance participants’ knowledge in imputation methodology and to provide a flexible solution to their incomplete data problems using R. The course will explain the principles of missing data theory, outline a step-by-step approach toward creating high quality imputations, and provide guidelines how the results can be reported. The course will use the authors' MICE package in R.","200 EUR bývanie","nie","nie"]
["UT348","Utrecht University","Sense making of GPS Data in a GIS environment","Utrecht, Holandsko",5,5,"2022-07-11","2022-07-15","300 EUR","2022-06-01","https://utrechtsummerschool.nl/courses/social-sciences/sense-making-of-gps-data-in-a-gis-environment","This course focuses on the application of GIS Tools to analyse outdoor movements of people or animals. The objective is to provide students with insight in the principles of sense making of GPS Data in a GIS environment. Collection of travel/movement data is nowadays made easy through the use of GPS-loggers and Smartphones. This course focusses to how to collect, clean and enrich these datasets with GIS by combining locational data with existing land use and transport datasets.","200 EUR bývanie","nie","nie"]
["UT349","Utrecht University","Data Science: Data Analysis","Utrecht, Holandsko",5,5,"2022-07-18","2022-07-22","720 EUR","2022-07-04","https://utrechtsummerschool.nl/courses/social-sciences/data-science-data-analysis","The course Data science: Data Analysis offers a range of techniques and algorithms from statistics, machine learning and data mining to make predictions about future events and to uncover hidden structures in data. The course has a strong practical focus: participants actively learn how to apply these techniques to real data and how to interpret their results. The course covers both classical and modern topics in data analysis.","200 EUR bývanie","nie","nie"]
["UT350","Utrecht University","Modeling the Dynamics of Intensive Longitudinal Data","Utrecht, Holandsko",4,4,"2022-08-15","2022-08-18","615 EUR","2022-08-01","https://utrechtsummerschool.nl/courses/social-sciences/modeling-the-dynamics-of-intensive-longitudinal-data","This is a four-day course on how to study dynamics in intensive longitudinal data, such as ambulatory assessments (AA), experience sampling method (ESM) data, ecological momentary assessments (EMA), real time data capture, observational data or electronic daily diaries. We provide a tour of diverse modeling approaches for such data and the philosophies behind them, as well as practical experience with these modeling techniques using different software packages (including R and Mplus).","200 EUR bývanie","nie","nie"]
["UT351","Utrecht University","Survey Research: Design, Implementation and Data Processing","Utrecht, Holandsko",5,5,"2022-08-15","2022-08-19","720 EUR","2022-08-01","https://utrechtsummerschool.nl/courses/social-sciences/survey-research-design-implementation-and-data-processing","This course covers the essentials of modern survey methodology and analysis and is organized by the Department of Methodology and Statistics in collaboration with Statistics Netherlands (CBS). Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, and measurement error, including questionnaire and mode effects), while balancing logistics and survey costs. Topics include state of the art survey design, questionnaire construction and testing, modes of and devices for data collection, data processing and survey analysis techniques, such as nonresponse analysis and scale and index construction and the use of administrative data. Best practice guidelines for phases of the survey from design to implementation, analysis and reporting will be discussed. International comparative and longitudinal surveys are included.","200 EUR bývanie","nie","nie"]
["UT352","Utrecht University","A Gentle Introduction to Bayesian Statistics","Utrecht, Holandsko",5,5,"2022-08-22","2022-08-26","720 EUR","2022-08-08","https://utrechtsummerschool.nl/courses/social-sciences/a-gentle-introduction-to-bayesian-statistics","The popularity of Bayesian statistics has increased over the years; however, Bayesian methods are not a part of the statistics curricula in most graduate programs internationally. The Bayesian framework can handle some commonly encountered problems in classical statistics, such as the lack of power in small sample research and convergence issues in complex models. Furthermore, some researchers prefer the Bayesian framework because it sequentially updates knowledge with new data instead of requiring that each new study tests the null hypothesis that there is no effect in the population. The main focus of the course is on conceptually understanding Bayesian statistics and applying Bayesian methods in R (brms, blavaan, rjags, rstan, rstanarm, bayesreg, bain, restriktor). If you are not familiar with R, we will send you some exercises to be completed before starting the course.","200 EUR bývanie","nie ","nie"]
["UT353","Utrecht University","Advanced Survey Design","Utrecht, Holandsko",5,5,"2022-08-29","2022-09-02","720 EUR","2022-08-15","https://utrechtsummerschool.nl/courses/social-sciences/advanced-survey-design","This course in ‘advanced survey design’ takes students beyond the introductory courses and will discuss the state of the art in both the design and the analysis of survey data. We discuss new ways to analyse modern surveys, including non-probability survey designs, and surveys conducted via apps. Course participants must be proficient working with the statistical software package R at the level of at least knowing Tidy and multivariate regression in R.",null,"nie","nie"]
["UZ006","University of Zürich","Introduction to R","Zurich, Švajčiarsko",2,2,"2022-06-16","2022-06-17","800 CHF","2022-06-15","https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=901","The course gives an introduction to working with R efficiently. Among other topics, data import, basic data manipulation and data visualization are discussed. In addition, the course shows how to conduct and interpret commonly used statistical methods (especially linear regression) in an example-driven way. When possible, brief insights into specialized packages (e.g., knitr, ggplot2, etc.) will be included.",null,"nie","nie"]
["UZ007","University of Zürich","R4All: An introduction to the basics of R","Zurich, Švajčiarsko",2,2,"2022-05-12","2022-05-13","800 CHF","2022-05-10","https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=1523","This course gives an easy and comfortable boost up what is often thought to be a steep initial learning curve. R4All has been providing this course to researchers across the globe for over ten years, giving the time and experience to design and finesse the course structure and content. We use and teach a modern approach to working in R, which focuses on simple, intuitive, and coherent tools (centred on the “tidyverse”).",null,"nie","nie"]
["UZ008","University of Zürich","Questionnaires: from Creation to Evaluation","Zurich, Švajčiarsko",2,2,"2022-05-19","2022-05-20","800 CHF","2022-05-17","https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=1540"," This course explains the basics of scientific questionnaire construction on the basis of three rules for good design practice: Every question and every answer option must be understood by the researcher and the interviewees in the exact same way (Rule of uniform interpretation); respondents must neither purposefully nor unwittingly be directed to a ‘correct’ response by priming, answer formatting, or other cues and information supplied prior or during the interview (Rule of no prompting); and the burden for the interviewee should beto retrieve the truest response, not to try understand the questions and procedure for responding, or to try to hold out through the interview (Rule of minimizing burden). ",null,"nie","nie"]
["UZ009","University of Zürich","Standard and Advanced Methods for Meta-Analysis with R","Zurich, Švajčiarsko",2,2,"2022-09-08","2022-09-09","800 CHF","2022-09-06","https://www.weiterbildung.uzh.ch/programme/detail.php?angebnr=1828","Meta-analysis encompasses an array of statistical methods for aggregating and comparing the results from related studies in a systematic manner. The focus of this workshop is on standard and some advanced methods for analyzing meta analytic data. We will start by looking at methods for quantifying the results from individual studies included in a meta-analysis in terms of various effect size or outcome measures (e.g., standardized mean differences, risk/odds ratios, correlation coefficients). We will then delve into methods for combining the observed outcomes (i.e., via equal- and random-effects models) and for examining whether the outcomes depend on the characteristics of the studies from which they were derived (i.e., via meta-regression and subgrouping).",null,"nie","nie"]
["UZ010","University of Zürich","Climate Change Finance","Zurich, Švajčiarsko/online",2,2,"2022-09-26","2022-09-27","2300 CHF","2022-09-01","https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/climate-change-finance.html","The relevance of climate change for the financial sector is becoming increasingly visible. This course gives participants an overview of the mechanisms of climate change models and metrics and discusses how climate risks can translate into financial risks and how the financial sector can react to these challenges. In addition the course includes a fully online case that is related to climate change finance where Clean Energy Funds are investigated. The necessary background information to evaluate the chances and risks of some investment products are provided. Furthermore, you have the opportunity to work on your programming skills with a gentle introduction to python.",null,"nie","nie"]
["UZ011","University of Zürich","Microfinance - Introduction","Zurich, Švajčiarsko/online",1,1,"2022-06-13","2022-06-13","800 CHF","2022-05-13","https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/microfinance-introduction.html","This seminar introduces the pioneering field of impact investments, investing in microfinance, and the financial inclusion of underbanked populations in developing economies, along the entire investment value chain.",null,"nie ","áno"]
["UZ012","University of Zürich","Microfinance - State of the Art","Zurich, Švajčiarsko/online",2,2,"2022-06-14","2022-06-15","1700 CHF","2022-05-14","https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/microfinance-state-of-the-art.html","Building on the course “Microfinance—Introduction”, this seminar conveys the skills necessary for analyzing investment opportunities and understanding investment strategies, risk mitigation, and new developments in investments in financial inclusion.",null,"nie","nie"]
["AR001","Aarhus University","Designing Survey Research","Aarhus, Dánsko",15,19,"2022-07-04","2022-07-22","691 EUR","2022-03-21","https://international.au.dk/education/admissions/summeruniversity/course/designingsurveyresearch","The course objectives are to: introduce the purposes and applications of survey research in economics, business, and other social sciences; and to explore the entire process of implementing survey research, including research design, question and instrument design, mediums of implementation, and planning for data analysis and reporting.",null,"nie","áno - písomná práca"]
["AR002","Aarhus University","Energy and Environmental Sustainability in Economic Policy","Aarhus, Dánsko",15,19,"2022-07-25","2022-08-05","346 EUR","2022-03-21","https://international.au.dk/education/admissions/summeruniversity/course/EnergyandEnvironmentalSustainability","This course focuses on policies to manage energy resources in a world constrained by finite natural resources and global climate change. It equips students with basic knowledge of sustainable energy and environmental topics and calculation methods, so that students can combine this knowledge with their skills in economics in order to address environmental sustainability issues at different scales – firm, national and global level. ",null,"nie","áno"]
["AR003","Aarhus University","Financial Analytics in R","Aarhus, Dánsko",15,19,"2022-07-25","2022-08-05","346 EUR",null,"https://international.au.dk/education/admissions/summeruniversity/course/financialanalyticsinr","The course will focus on developing statistical models and using simulations to better understand financial data using R, one of the most popular free computer software environments. Upon a successful completion of the course, students will be aware of major financial models related to investments and corporate finance and will be able to write simple code in R to implement the models in real-world scenarios as well as to visualize and analyze financial data.",null,"nie","áno"]
["AR004","Aarhus University","Financial Statement Analysis, Using a Data Analytics Lens","Aarhus, Dánsko",10,12,"2022-07-04","2022-07-15","346 EUR",null,"https://international.au.dk/education/admissions/summeruniversity/course/FinancialStatementAnalysis","This course provides a framework for understanding the intersection between business strategy, accounting, economics, and finance.  Using historical financial statements as the primary information input, you will employ tools that enable you to better understand the drivers of current performance and risk, forecast future performance, and construct an equity value estimate.  These tools can be applied in a number of contexts including equity valuation, project selection, and managerial evaluation.",null,"nie","áno"]
["AR005","Aarhus University","Making Sense of Data: Handling, Processing, Visualising, Spatial Mapping, Estimating, and Analysing Data in R","Aarhus, Dánsko",15,19,"2022-07-18","2022-08-05","691 EUR",null,"https://international.au.dk/education/admissions/summeruniversity/course/makingsenseofdata","The students will develop skills to conduct their own data management and analysis. They will be introduced to relevant concepts, terminology, and methods for handling data and spatial information in R and QGIS. At the end of the course, students will have a toolbox of scripts enabling them to optimise data management procedures by looping through data and using vector-oriented iterative processes. They will work in R studio, writing and debugging code for merging datasets, data cleaning and coding of different types of variables, as well as overlaying spatial data. ",null,"nie","áno - písomná práca"]
["BL001","University of Basel","Applied Statistics using R: Analysing Medical Data","Bazilej, Švajčiarsko",10,14,"2022-05-04","2022-05-18","1500 CHF",null,"https://advancedstudies.unibas.ch/courses/course/applied-statistics-using-r-analysing-medical-data-25200","In this course, you will learn the programming techniques to make the most of this powerful tool for processing, analysing and presenting your data. Please note that basic statistical knowledge is required. You will analyse data by writing functions and scripts to get reproducible and well documented results. You will learn how to create excellent graphics and how to adapt them to your needs. ",null,"nie","nie"]
["RU006","Radboud Universiteit Nijmegen","An Introduction to Visualisation and Modelling of Spatial data (in R)","Nijmegene, Holandsko",5,5,"2022-08-15","2022-08-19","600 EUR","2022-07-01","https://www.ru.nl/radboudsummerschool/courses/2022/introduction-visualisation-modelling-spatial-data/","Spatial data are common in many fields like environmental monitoring and public health, however communicating spatial data is difficult. In this course we will show how statistics is used to model, interpret and visualise spatial data","Early bird: 540 EUR pred 1.4.","nie","nie"]
["RU007","Radboud Universiteit Nijmegen","Complexity Methods for Behavioural Science: A Toolbox for Studying Change","Nijmegene, Holandsko",5,5,"2022-07-11","2022-07-15","600 EUR","2022-06-01","https://www.ru.nl/radboudsummerschool/courses/2022/complexity-methods-behavioural-science-toolbox/","This course will discuss techniques that allow for the study of human behaviour from the perspective of the Complexity Sciences, specifically, Complex Adaptive Systems. Contrary to what the term “complex” might suggest, complexity research is often about finding simple models/explanations that are able to describe a wide range of qualitatively different behavioural phenomena. “Complex” generally refers to the object of study: Complex systems are composed of many constituent parts that interact with one another across many different temporal and spatial scales to generate behaviour at the level of the system as a whole, in complex systems “everything is interacting with everything”. The idea behind many methods for studying the dynamics of complex systems is to exploit this fact and quantify the degree of interdependence, periodicity, nonlinearity, context sensitivity or resistance to perturbation (resilience) of system behaviour.","Early bird: 540 EUR pred 1.4.","nie","nie"]
["RU008","Radboud Universiteit Nijmegen","Experiments in Behavioural Economics: Methodology and Applications","Nijmegene, Holandsko",5,5,"2022-08-08","2022-08-12","600 EUR","2022-07-01","https://www.ru.nl/radboudsummerschool/courses/2022/experiments-behavioural-economics-methodology/","During the suggested course we will reconcile theory and practice: we will see how mental and emotional filters shape the choice people make personally and as a group within experimental setup and via social networks. This will be done in a form of game lab experiments and analysis of experimental results. You will be given appropriate methodology and in the end of the course you will design your own experiment aimed at suggestions in public policy or business strategy.","Early bird: 540 EUR pred 1.4.","nie","nie"]
["RU009","Radboud Universiteit Nijmegen","Introduction to Data Science with R and Rstudio for the Social Sciences","Nijmegene, Holandsko",5,5,"2022-07-04","2022-07-08","500 EUR","2022-06-01","https://www.ru.nl/radboudsummerschool/courses/2022/introduction-data-science-rstudio-social-sciences/","To be able to understand quantitative data we need tools of high quality and, if possible, for free. R and Rstudio are open source, free and multi-platform software applications for descriptive analysis, predictive, and causal analysis, and are increasingly adopted software tools for Data Science in academics, and businesses (e.g. Microsoft, Google). R also provides numerous tools for publication-ready visualizations and publications of research results. As such, R and Rstudio are very versatile","Early bird 450 EUR pred 1.4.","nie","nie"]
["RU010","Radboud Universiteit Nijmegen","Quantifying Uncertainty: Prediction and Inverse Problems","Nijmegene, Holandsko",5,5,"2022-08-08","2022-08-12","325 EUR","2022-07-01","https://www.ru.nl/radboudsummerschool/courses/2022/quantifying-uncertainty-prediction-inverse/","This course will first provide an introduction to uncertainty quantification and then it will address some advanced techniques. It will be divided in two parts. In the first three days, we will look at methods to study the effect of uncertainties on some quantities of interest in a physical system, the so-called propagation of uncertainty.","Early bird: 293 EUR pred 1.4.","nie","nie"]
["RU011","Radboud Universiteit Nijmegen","Social Research Methods: Advanced Applied Qualitative Comparative Analysis (QCA)","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-advanced-applied/","The central aim of the course is to enable participants to put in practice state-of-the-art QCA empirical research. Apart from learning how to apply QCA in the best possible way, discussions in class will address from a set-theoretic point of view general methodological issues, such as robustness tests, theory evaluation, case selection strategies, or the role of time and temporality in descriptive and causal inference.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU012","Radboud Universiteit Nijmegen","Social Research Methods: Advanced Qualitative Data Analysis","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-advanced-qualitative-data/","Amongst the methods available to analyse qualitative data qualitatively, the methods of qualitative content analysis, thematic analysis, cross-case analysis and grounded theory have been widely used in the social sciences. Their procedures to carry out analysis are straightforward, which makes the analytic journey transparent, traceable, and auditable. Each method is also unique in its own right, in that each one suits a particular type of research questions; responds to specific objectives; requires a distinct sampling strategy; implements specific coding and analytical procedures; and generates concrete findings. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU013","Radboud Universiteit Nijmegen","Social Research Methods: Applied Social Network Analysis","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-applied-social-network/","In this class, you will learn about the power and limitations of a scientific research framework to, quite literally, change the world. It will be an intense intellectual challenge that starts before this course and hopefully lasts a long time after. Through the assigned readings, you will be challenged to rethink how the world works and connect the previously known dots in a different way. You will struggle through the process of working with imperfect data and software. And, most importantly, you will be challenged to put your research into perspective – to think about ways in which you can make it better, more visible, and actionable.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU014","Radboud Universiteit Nijmegen","Social Research Methods: Causal Inference in the Social Sciences","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-causal-inference-social/","Estimating causal effects is important in quantitative empirical analyses in social sciences, but at the same time notoriously difficult. As a social scientist, you often lack the clean laboratory-type experimental data to identify a causal relationship. The aim of this course is to learn how to think about causality when conducting research and how to apply the tools for causal identification. We will do this by first discussing the fundamental problem of causal inference and trying to develop your intuition behind these problems. After that, you will then start to apply and evaluate the techniques that can help with signifying a causal relationship in your research.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU015","Radboud Universiteit Nijmegen","Social Research Methods: Comparative Research Designs","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-comparative-research/","The purpose of this course is to provide training on all aspects that enable a researcher to build and implement the most appropriate comparative research design – the latter broadly defined as any research enterprise that comprises at least two ‘cases’ or observations.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU016","Radboud Universiteit Nijmegen","Social Research Methods: Digital Technologies in Qualitative Data Collection","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-digital-technologies/","This course focuses on the use of digital technologies for qualitative data collection, from a conceptual and applied perspective. Its goal is to acquaint you with the basics of online qualitative research methods, to cover methodological and practical aspects of online focus groups, online in-depth interviews and virtual ethnography (online fieldwork), as well as ethical and technological issues when collecting data online.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU017","Radboud Universiteit Nijmegen","Social Research Methods: Discourse Network Analysis","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-discourse-network-analysis/","Discourse Network Analysis is a methodological toolbox for measuring and analyzing policy debates and their development over time. At its core, the software Discourse Network Analyzer (DNA) allows researchers to manually code actors’ opinions about policies in text data. In a way similar to other qualitative content analysis tools, the user annotates statements of political actors about their preferred or rejected concepts, policy instruments, frames, or beliefs. Useful text sources can be newspaper articles, parliamentary testimony, press agencies, or social media. DNA then allows the researcher to export various kinds of network data based on what the user coded.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU018","Radboud Universiteit Nijmegen","Social Research Methods: Doing Intersectional Quantitative Research","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-doing-intersectional/","Building on an emerging consensus, this course makes clear why adding an interaction term to your regression model is neither sufficient, not necessary for doing intersectionality research. Having that said, we do focus on which statistical tools are suitable for doing intersectional research and how they can be applied.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU019","Radboud Universiteit Nijmegen","Social Research Methods: Inferential Network Analysis","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-inferential-network/","Inferential Network Analysis introduces statistical methods for analysing networks. Networks, or graphs, are sets of nodes and their connecting ties. Networks are used to model a wide range of complex political phenomena, such as policy networks among political actors around the design of new regulation; lobbying ties of interest groups to policy makers or lobbying coalitions; recruitment of experts into international organizations; patronage relationships; multilevel or collaborative governance systems; international relations, including conflict, alliances, trade, and migration; financial deals between organizations; political debates among actors about policies; or the diffusion of policies among states.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU020","Radboud Universiteit Nijmegen","Social Research Methods: Interpretive Research Methods","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-interpretive-research/","This course introduces approaches from narrative methods to discourse analysis and the typical steps of the research process - from how to formulate interpretive research questions to how to present and document them.","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU021","Radboud Universiteit Nijmegen","Social Research Methods: Introduction to Inferential Statistics: the class you need before regression","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-introduction-inferential/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU022","Radboud Universiteit Nijmegen","Social Research Methods: Introduction to Machine Learning for Social Sciences","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-introduction-machine/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU023","Radboud Universiteit Nijmegen","Social Research Methods: Introduction to Quantitative Text Analysis","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-introduction-quantitative/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU024","Radboud Universiteit Nijmegen","Social Research Methods: Introduction to R","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-introduction/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU025","Radboud Universiteit Nijmegen","Social Research Methods: Multi-Level Regression Analysis of Cross-Sectional and Panel Data with R","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-06-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-multi-level-regression/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU026","Radboud Universiteit Nijmegen","Social Research Methods: Multi-Method in Pactice: Pluralist Case Study Designs","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-multi-method-pactice/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU027","Radboud Universiteit Nijmegen","Social Research Methods: Multi-Method Research: Techniques and Applications","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-multi-method-research/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU028","Radboud Universiteit Nijmegen","Social Research Methods: Panel Data Analysis","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-panel-data-analysis/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU029","Radboud Universiteit Nijmegen","Social Research Methods: Process Tracing Methods in Practice","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-process-tracing-methods/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU030","Radboud Universiteit Nijmegen","Social Research Methods: Qualitative Data Analysis","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-qualitative-data-analysis/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU031","Radboud Universiteit Nijmegen","Social Research Methods: Regression 1: Linear Regression","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-regression-1-linear/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU032","Radboud Universiteit Nijmegen","Social Research Methods: Regression 2: Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-regression-2-logistic/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU033","Radboud Universiteit Nijmegen","Social Research Methods: Structural Equation Modeling","Nijmegene, Holandsko",5,5,"2022-06-27","2022-07-01","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-structural-equation/","This course was designed for people who do not have much prior experience with statistics or they are not totally comfortable with basic statistical concepts like hypothesis testing, p-values, standard errors, distributions, correlation, and etc.  It provides a solid foundation for people who are starting from practically 0 and would like to work up to understanding the basics including regression (which is the most commonly used statistical technique in the social sciences).","Early bird 518 EUR pred 1.4.","nie","nie"]
["RU034","Radboud Universiteit Nijmegen","Social Research Methods: Survey and Questionnaire Design","Nijmegene, Holandsko",5,5,"2022-06-20","2022-06-24","575 EUR","2022-05-01","https://www.ru.nl/radboudsummerschool/courses/2022/social-research-methods-survey-questionnaire/","From customer-recommendation systems to policy design and implementation, machine learning algorithms are becoming ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today. The goal is that at the end participants will be able to identify what kind of technique is more suitable for their question and data, and how to design, test and interpret their models. ","Early bird 518 EUR pred 1.4.","nie","nie"]
["UA004","University of Amsterdam","Comprehensive Introduction to Research Methodology and Design","Online",20,26,"2022-07-04","2022-07-29","1200 EUR","2022-05-01","https://summerschool.uva.nl/content/summer-courses/introduction-to-research-methodology-and-design/introduction-to-research-methodology-and-design.html?origin=PtN3uwswQquDlGtnNX3fZg#Programme-description","This course aims to lay a solid, diverse and integrated foundation of knowledge and skills for conducting first-rate qualitative and quantitative research, and for embedding it in effective and feasible mixed-method research designs. At the end of this intensive course, students should have acquired a good understanding of the most important principles and practices of social science research. They should also be able to improve their knowledge and skills independently after the course, and thus pursue their substantive research interests without methodological hindrance.",null,"nie ","nie"]
["UA005","University of Amsterdam","Epidemics and Social Science: a Holistic Approach","Online",10,12,"2022-07-04","2022-07-15","800 EUR","2022-05-01","https://summerschool.uva.nl/content/summer-courses/epidemics-and-the-social-sciences-a-holistic-approach/epidemics-and-the-social-sciences-a-holistic-approach.html?origin=PtN3uwswQquDlGtnNX3fZg#Programme-description","The COVID-19 pandemic continues to impact our societies in multiple ways. While we witness rapid developments in biomedicine, it is undeniable that an in-depth understanding of societies, culture, and practices within various contexts of the epidemic is vital to its prevention and control. Meanwhile, in today’s pandemic response, there is an increase in funding for social science research. This increase builds on years of work on various epidemics from Ebola and cholera, to HIV/AIDS. Still, evidence-based emergency decision making with social science knowledge and data remains limited in the COVID-19 response at the local, national and international levels. Why is this so? And how can social science knowledge and understanding be effectively integrated into preparedness, response, and recovery? ",null,"nie","nie"]
["BR001","University of Birmingham","Mathematical Finance & Financial Time Series Analysis","Birmingham, Anglicko",15,21,"2022-07-17","2022-08-06","2750 GBP","2022-04-12","https://www.birmingham.ac.uk/international/birmingham-international-summer-school/programmes/mathematical-finance.aspx?utm_medium=cpc&utm_source=google&utm_content=search&utm_campaign=crunch-17082-2021-international-biss#CourseDetailsTab","The programme covers the fundamental knowledge in financial engineering, which is a highly specialised and rapidly growing area. You will be able to explore the computational skills as well as the underlying mathematical and statistical theory to prepare for a career on the computational end of quantitative finance. The programme is both technical and pragmatic. In Mathematical Finance, you will first learn to examine the financial derivatives using a continuous-time approach, then analyse a range of discrete time financial models and investment models. In the 3rd week of the program, you will start the econometric modelling of financial time series. You will learn various methods of fitting linear and non-linear models to time series data, statistical validation and their use such as forecasting and simulation using the statistical package R.",null,"áno","áno"]
["GT001","University of Gothenburg","Praxis symposium IV: Higher education in post-pandemic times – (re)orienting transformation through praxis","Göteborg, Švédsko",3,3,"2022-05-16","2022-05-18",null,"2022-04-01","https://www.gu.se/en/education-special-education/our-research/praxis-symposium-iv-higher-education-in-post-pandemic-times-reorienting-transformation-through-praxis","On May 16-18 2022 the University of Gothenburg will host Praxis Symposium IV. The event, previously organized and held at the university of Borås, is now in its fourth edition. The Praxis symposium has become an important meeting for academics and other professionals that are interested in higher education and the challenges and contradictions that characterize academic work and responsibility in turbulent times. The symposium is organized in collaboration with the University of Borås and will take place at the Faculty of Education, University of Gothenburg, but will also be offered as a hybrid event.",null,"nie","nie"]
["UL001","University of Lausanne","Bayesian Methods in Health Economics","Lausanne, Švajčiarsko",5,5,"2022-06-20","2022-06-24","1500 CHF","2022-05-01","https://wp.unil.ch/summerschools/courses/health-economics/","The course aims at providing an introduction to Bayesian analysis and Markov Chain Monte Carlo (MCMC) methods using R and MCMC sampling software (such as OpenBUGS and JAGS), as applied to cost-effectiveness analysis and typical models used in health economic evaluations. We will also focus on more recent methods for Probabilistic Sensitivity Analysis including Value of Information calculations. As such, it is intended for health economists, statisticians, and decision modellers interested in the practice of Bayesian modelling and will be based on a mixture of lectures and computer practicals. The emphasis will be on examples of applied analysis: software and code to carry out the analyses will be provided.",null,"nie","nie"]
["UW001","University of Warwick ","Behavioural Economics","Warwick, Anglicko",15,21,"2022-07-17","2022-08-06","3100 GBP","2022-05-31","https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/behavioural/#syllabus","In this course, we will consider the traditional theories and models of economics and analyse how behavioural economics begins to move away from these models, by relaxing traditional assumptions. By doing this, behavioural economics looks to explain how agents actually behave in practice and what factors can sometimes explain seemingly irrational behaviour.\n\n","Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP","nie","áno - dobrovoľná"]
["UW002","University of Warwick ","Game Theory and Competitive Strategy","Warwick, Anglicko",15,21,"2022-07-17","2022-08-06","3100 GBP","2022-05-31","https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/game-theory/#syllabus","This course is designed for students with a background in microeconomic theory and will be taught at the intermediate level. The topic of this course, Game Theory, is an essential tool for analyzing strategic interactions between economic agents. It can help us explain anything from why farmers overgraze a common piece of land to the price at which a buyer and seller agree to trade. This course equips students with the skills to use game theory to model real world scenarios and apply game theoretic methods to solve these models.","Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP","nie","áno - dobrovoľná"]
["UW003","University of Warwick ","Introduction to Economics","Warwick, Anglicko",15,21,"2022-07-17","2022-08-06","3100 GBP","2022-05-31","https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/introduction-to-economics/#syllabus","The course will begin by exploring the fundamental economic question. We live in a world with scarce resources, including oil, money, time, energy and goods and services. However, we have unlimited wants. Therefore, we consider how these scarce resources are allocated and in doing so, we will explore the importance of choice. The course will then develop many fundamental concepts, ideas and models that economists use to study all the questions that result from this fundamental economic problem.","Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP","nie","áno - dobrovoľná"]
["UW004","University of Warwick ","Data Science: Foundations of Data Analytics","Warwick, Anglicko",15,21,"2022-07-17","2022-08-06","3100 GBP","2022-05-31","https://warwick.ac.uk/study/summer-with-warwick/warwick-summer-school/courses/data-science/","Data Science is concerned with how to gain knowledge from the vast volumes of data generated daily in modern life, from social networks to scientific research and finance, and proposes sophisticated computing techniques for processing this deluge of information. This courses addresses fundamental aspects of Data Science, e.g. analytical models to represent and understand the data, efficient algorithms to manipulate and extract relevant knowledge.","Early bird 2790 GBP do 30.4.; ubytovanie - 780- 14242 GBP","nie","áno - dobrovoľná"]
["VA008","Vrije Universiteit Amsterdam","The Economics of Urbanisation","Amsterdam, Holandsko",5,8,"2022-07-17","2022-07-24","650 EUR","2022-05-01","https://vu.nl/en/education/summerschool/the-economics-of-urbanisation/curriculum","In this course, you will learn about the economic forces that underpin urbanisation and shape cities. Along the way, you will be equipped with knowledge and skills that help answer questions such as: Why are firms and people moving to cities? How do we measure the performance of cities? What factors explain why some cities thrive, while others struggle? What can policy makers do to improve the economic, social, and environmental performance of cities? To gain insight into these questions, students will participate in lectures, self-directed work, and field visits.",null,"nie","áno - prezentácia+ esej"]
["VA009","Vrije Universiteit Amsterdam","Big Data Management and Analysis in the Linux Environment","Amsterdam, Holandsko",10,15,"2022-07-02","2022-07-16","1150 EUR","2022-05-01","https://vu.nl/en/education/summerschool/big-data-management-and-analysis-in-the-linux-environment/curriculum","The growing availability of extremely large datasets requires scientists and analysts to use powerful supercomputers or computer clusters to store, manage, and analyse these data. These servers typically use Linux as their operating system, and some programming skills and insights into suitable software packages are needed to work on them. This course will introduce you to common UNIX command line utilities, teach you how to manage very large datasets (e.g. using sed, awk, and grep commands) and create simple shell scripts to analyse your data (e.g. using a UNIX version of the freely available statistics program R). You will also learn how to present your data and results in customized plots and figures. These skills are extremely valuable for scientists from all disciplines as well as for business practitioners (e.g. consultants or financial analysts) who are planning to work with big data.",null,"nie","nie"]
["LO301","London School of Economics and Political Science (LSE)","Introductory Microeconomics","Londýn, Anglicko",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC101","This course seeks to introduce microeconomic analysis as a way of understanding the world. You will be exposed to important topics like consumer choice theory, the theory of production and costs, the economics of time, and the impact of market failure and government intervention. You will be exposed to standard microeconomic theory to develop your economic intuition, whilst also gaining economic tools that support this intuition along the way.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO302","London School of Economics and Political Science (LSE)","Intermediate Microeconomics","Londýn, Anglicko",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC201","This course aims to give students the conceptual basis and the necessary tools for understanding modern microeconomics at an intermediate level. During the course you will learn about the application of consumer theory, the theory of the firm, general equilibrium and welfare, game theory, oligopolistic markets and information economics. By applying these theoretical frameworks you will tackle important questions such as how firms respond to market stimuli, both in the short and the long run, as well as how game theory can be used to study strategic interactions between decision makers.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO303","London School of Economics and Political Science (LSE)","Economics of European Integration","Londýn, Anglicko",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC235","This course introduces the main economic aspects of the current development of the EU and its policies. Covering the process of European Integration and its economic impacts on individuals, firms and regions you will analyse the economic opportunities and challenges generated by EU integration. Engaging in discussion with leading faculty, you will assess current EU policies and their ability to support the process of economic integration as well as their ability to mitigate potential economic side-effects.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO304","London School of Economics and Political Science (LSE)","Alternative Investments","Londýn, Anglicko",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM230","Through a combination of theory, guest lectures and application through empirical exercises, this course allows you to gain practical experience in alternative investments. You will learn to identify what the return-risk characteristics of alternative investments are, what drives their appeal, how to understand related technical publications, and how to construct a portfolio using them.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO305","London School of Economics and Political Science (LSE)","Introduction to Statistics: Understanding the World through Data","Londýn, Anglicko",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME116","This is an introductory course on statistics and how it can help us answer the kind of questions that arise when we want to better understand the world. We will use real-world examples from the social and natural sciences to establish the foundations of probability and distribution theory, and introduce important statistical skills, from descriptive statistics to sampling and inference. In addition to these examples, we will conduct interactive experiments in the classroom to demonstrate the use of key techniques.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO306","London School of Economics and Political Science (LSE)","Computational Methods in Financial Mathematics","Londýn, Anglicko",15,19,"2022-06-20","2022-07-08","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME200","Derivative pricing, investment decisions and financial risk management rely on stochastic models describing financial markets. In these models, quantities of interest such as the price of a financial product often need to be approximated using computational methods. This is a hands-on course in which such methods are introduced and implemented. A particular focus of the course is on Monte Carlo methods, i.e., simulation methods to approximate integrals and expectations of random variables.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO307","London School of Economics and Political Science (LSE)","Management Analytics in the Age of Big Data","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Business-and-Management/MG107","This course offers students an overview of the economic potential of Big Data and AI. It begins by describing the rise of Big Data and the burgeoning field of AI, and proceeds to consider the implications of these new technologies for managers and for society as a whole.","50 GBP registračný poplatok, viac kurzov = zľava","nie","TBA"]
["LO308","London School of Economics and Political Science (LSE)","Introductory Macroeconomics","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC102","This course takes both a short and a long-term view of the economy, and aims to help you understand recent developments in macroeconomics using graphic analysis and simple algebra.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO309","London School of Economics and Political Science (LSE)","Introduction to Behavioural Economics","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC200","This course will provide students with a clear introduction to the principles and methods of Behavioural Economics. Behavioural economics considers the ways that people are more social, more impulsive, less adept at using information, and more susceptible to psychological biases than the standard economic models assume.  We will explore key departures, and the consequences for individuals, firms, and policy.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO310","London School of Economics and Political Science (LSE)","Intermediate Macroeconomics","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC202","This course aims to bring you up to date with modern developments in macroeconomic theory and offer fresh perspectives on the macroeconomic challenges of the day. ","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO311","London School of Economics and Political Science (LSE)","Environmental Economics & Sustainable Development","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC240","In successfully applying standard microeconomic analysis to the field of the natural environment and sustainable development, economists have challenged many erroneous, but strongly held preconceptions of policy makers and environmentalists alike. For example, the course will show that the efficient level of environmental pollution is, in general, not zero and that there is no risk of running out of fossil fuel non-renewable resources any time soon.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO312","London School of Economics and Political Science (LSE)","The Political Economy of Public Policy","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC260","This course enhances a student’s understanding of the characteristics, determinants and consequences of public-policy making in liberal democracies. ","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO313","London School of Economics and Political Science (LSE)","Public Finance","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC270","This course provides a broad, up-to-date introduction to the economic analysis of public policy issues.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO314","London School of Economics and Political Science (LSE)","Applied Econometrics and Big Data","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC320","The course will combine both analytical and computer-based (data) material to enable students to gain practical experience in analysing a wide variety of econometric problems. It will also discuss how modern data science approaches can be used to answer important economic questions. Students will be reading various applied economic papers which apply the techniques being taught. Applications that will be considered include labour, development, industrial organisation and finance.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO315","London School of Economics and Political Science (LSE)","Analysis and Management of Financial Risk","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM202","This course helps to develop relevant knowledge and understanding of risk management practices, for students aiming to advance their careers in the competitive world of global finance, in fields such as asset management, hedge funds, investment analysis or risk management.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO316","London School of Economics and Political Science (LSE)","Fixed Income Securities, Debt Markets and the Macro Economy","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Finance/FM225","This course helps to develop the relevant knowledge and understanding of fixed income instruments and interest rate models for students aiming for a career in the fixed income field. ","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO317","London School of Economics and Political Science (LSE)","Probability and Statistics for Economics and Econometrics","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME117","The course provides a precise and accurate treatment of probability, distribution theory and statistical inference.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO318","London School of Economics and Political Science (LSE)","Real Analysis","Londýn, Anglicko",15,19,"2022-07-11","2022-07-29","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME306","This course covers the main aspects of real analysis: convergence of sequences and series and key concepts, including completeness, compactness and continuity, from the particular settings of real numbers and Euclidean spaces to the much more general context of metric spaces.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO319","London School of Economics and Political Science (LSE)","Introduction to Econometrics","Londýn, Anglicko",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC212","The problem, for those concerned with social or economic policy, is that we seldom have the luxury of being able to undertake controlled experiments of the type conducted by natural scientists. Instead, we have to draw our inferences from the analysis of non-experimental data, and that is the function of econometrics.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["LO320","London School of Economics and Political Science (LSE)","Advanced Econometrics","Londýn, Anglicko",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Economics/EC312","While concentrating on linear models, some non-linear cases will also be discussed, notably limited dependent variable models and generalised methods of moments. The course focuses on modern econometric techniques, addressing both technical derivations and practical applications. Applications in the areas of microeconomics, macroeconomics and finance will be considered.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO321","London School of Economics and Political Science (LSE)","Public Policy Analysis","Londýn, Anglicko",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/International-Relations-Government-and-Society/IR214","How do politics and institutions shape public policy? How and why does policy change? How does bureaucracy work, and how might it be reformed? These are some of the important questions this course addresses using theories and methods of public policy analysis using a global lens.","50 GBP registračný poplatok, viac kurzov = zľava","nie","áno"]
["LO322","London School of Economics and Political Science (LSE)","Qualitative Research Methods","Londýn, Anglicko",15,19,"2022-08-01","2022-08-19","3500 GBP",null,"https://www.lse.ac.uk/study-at-lse/summer-schools/Summer-School/Courses/Secure/Research-Methods-Data-Science-and-Mathematics/ME305","The purpose of this course is to equip participants with the skills to be able to sensitively and critically design, carry out, report, read, and evaluate qualitative research projects.","50 GBP registračný poplatok, viac kurzov = zľava","nie","nie"]
["UB002","University of Barcelona","BEHAVIORAL AND EXPERIMENTAL ECONOMICS","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","710 EUR","2022-05-25","https://www.ub.edu/school-economics/summer-school/","The course will combine theory and practice. It is well known that microeconomic theories usually depend on individual preferences, which cannot be observed in natural environments. To overcome this drawback, it will be shown that experiments in the laboratory help to check whether the assumptions made about individuals are descriptive of their behavior. Such experiments involve both studies of individual choice and of the interactive behavior that is the concern of the theory of games. Also, following the recent trends, the implementation of field experiments and natural experiments, which take place outside the lab, will be considered.",null,"nie","nie"]
["BA241","Barcelona School of Economics (BSE)","Firm Dynamics in Macro-Finance: Tools and Applications","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","The objective of this course is to present analytical and empirical applications on the relationship between financial frictions, firm dynamics, and their macroeconomic implications. We will place emphasis on the analytical tools necessary to solve and analyze firm dynamics models with frictions and misallocation, and on the empirical tools to test their predictions.\nSelected tools and applications (both simulating the models as well as some empirical applications) will be illustrated in detail during the practical sessions. ","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 700 EUR"]
["BA242","Barcelona School of Economics (BSE)","Macroeconomic Policy in the Global Economy","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1100 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","TThis course introduces state-of-the-art models and empirical methods to analyze key macroeconomic policy challenges confronting the world economy. We will consider monetary and fiscal policy in open economies, capital flows and international financial crises, macroprudential policies and capital controls, exchange rate policy, financial globalization and international macroeconomic dependence. Substantial attention will be devoted to current policy debates, such as global imbalances and the 2008 global financial crisis, the past and future of the euro area, secular stagnation, the emergence of China as a global player and the global productivity slowdown.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"]
["BA243","Barcelona School of Economics (BSE)","Numerical Methods for Fiscal and Monetary Policy Analysis","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","This course will cover state-of-the-art techniques to solve and simulate modern macroeconomic models, with specific applications to models used for fiscal and monetary policy analysis. The applications will be illustrated in detail during the practical sessions.\n\nSelected Topics\n\nIntroduction to local and global solution methods\nSolution of fiscal and monetary policy models (e.g. with zero-lower bound, financial constraints, heterogeneous agents)\nSolution of optimal fiscal and monetary policy problems","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 700 EUR"]
["BA244","Barcelona School of Economics (BSE)","Sovereign Debt Crises: Theory, Evidence and Policy","Barcelona, Španielsko",5,5,"2022-07-11","2022-07-15","1100 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","This course provides an overview of sovereign debt crises from theoretical, empirical and policy points of view. It covers both traditional and new theories that emphasize the interplay between international and domestic financial markets, and the relevant empirical evidence. It discusses the distinction between liquidity and solvency crises and the appropriate policy responses. The last part of the course is devoted to an analysis of the European crisis.\n\nSelected Topics\n\nWhat are the costs of sovereign default? Reputation and sanctions\nMarket structure and defaults: Secondary markets and collateral damage\nRollover crises: Lender of last resort and moral hazard\nSolvency crises: Debt overhang, buybacks and restructuring\nLessons from Europe","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"]
["BA245","Barcelona School of Economics (BSE)","Spatial Equilibrium and the Economics of Cities","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1100 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","Spatial equilibrium in a city: transportation, residential location and the monocentric city model\nSpatial equilibrium in a system of cities: hedonics and the measurement of amenities and productivity\nAgglomeration economies: pooling, matching and knowledge spillovers\nCities and public policy: local public goods and sorting, place-based policies","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"]
["BA246","Barcelona School of Economics (BSE)","The Economics of Immigration: Card vs. Borjas, time horizons, and spatial equilibrium","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1100 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","What is the effect of immigration on labor markets? The course is motivated by the seemingly contradictory evidence in the existing empirical literature. On the one hand, pioneering research by recent Nobel prize recipient David Card seems to suggest that immigration has no effect on the labor market. On the other hand, Harvard economist and one of the leading scholars in the field, George Borjas, seems to reach the opposite conclusion. Motivated by this long-standing debate, the course brings together elements of labor demand and labor supply theory in combination with many of the insights of the spatial equilibrium literature to explore why each of these two prominent authors arrives to a different conclusion. The aim of the course is to make sense of this contradictory evidence by exploring the interaction of local and national labor markets. Time horizons and spatial equilibrium are going to be the key concepts of the course.\n\nSelected topics\n\nA review of the effect of immigration on the labor market\nHow to move from local labor markets to the national market\nThe local and aggregate effects of immigration: time horizons and aggregate consequences","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"]
["BA247","Barcelona School of Economics (BSE)","The Rise of Dominant Firms in the Digital Age","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1100 EUR","2022-06-06","https://bse.eu/study/summer-school/crei-macroeconomics","There is a sharp rise in market power by dominant firms in the aggregate economy since 1980. Dominant firms face limited competition which allows them to charge high prices and generate extraordinary profits. We analyze the evolution of market power using different methods. We then evaluate the consequences of market power on the macroeconomy: a decline in the labor share, wage stagnation, declining labor mobility, the decline of startups, and the rise of superstar firms. Next, we investigate the causes, with a focus on technological change and the digital revolution as well as antitrust enforcement. We identify the causes of market power in a macro model and evaluate the model qualitatively. We measure the welfare cost of market power and propose policy measures.\n\nSelected Topics:\n\nMeasurement of market power\nCauses: technological change and lax antitrust enforcement\nThe macroeconomic consequences\nThe welfare cost and policies to remedy market power","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 600 EUR"]
["BA248","Barcelona School of Economics (BSE)","Coding Bootcamp in Python and R","Barcelona, Španielsko",1,1,"2022-06-26","2022-06-26","525 EUR","2022-06-06","https://bse.eu/study/summer-school/data-science","The course provides basic training in programming with Python and R for data analysis and machine learning. This is an intensive 8-hour course based on a hands-on approach using Jupyter notebooks.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA249","Barcelona School of Economics (BSE)","Deep Learning and Applications","Barcelona, Španielsko",5,5,"2022-07-11","2022-07-15","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/data-science","In this course, we will introduce several aspects of modern machine learning, deep learning, and its applications. The learning objectives are:\n\nTo understand the basic techniques of deep learning at an analytical and programming level.\nTo be able to use some of these techniques in popular application domains.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA250","Barcelona School of Economics (BSE)","Foundations of Data Science","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/data-science","This is an intensive 20-hour hands-on course in the foundations of data science. The course provides basic training in data analysis and machine learning with Python and R. The material covered is motivated by specific data analysis questions, and each unit concludes with a project to be done by the students.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA251","Barcelona School of Economics (BSE)","Using Text as Data: Methods and Applications","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/data-science","An ever-increasing share of human communication is recorded as digital text. Analyzing and making sense of this vast amount of data is increasingly important for research in the social sciences.\n\nThis course provides an accelerated introduction to the theory and practice of text analysis by surveying methods for systematically extracting quantitative information from text, from classical content analysis and dictionary-based methods, to classification methods, scaling methods, and topic models. The course introduces the theoretical foundations for text analysis but mainly takes a practical approach, illustrating the methods through state-of-the-art applications to research questions in economics, political science, and finance.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA252","Barcelona School of Economics (BSE)","Geospatial Tools for Development: Data and Inference","Online",5,5,"2022-06-20","2022-06-24","1000 EUR","2022-06-06","https://bse.eu/study/summer-school/development-economics","The objectives of this course are threefold: First, we will learn about the different types and formats of geospatial data and introduce a set of basic tools that can be employed for extraction and modification of this data. Second, we will review selected pieces of economic research that use geospatial data in the field of development economics. Third, through continuous hands-on exercises using specific computer programs, we will learn the necessary skills to replicate these approaches and harness the benefits of geospatial data for applied research in development.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 550 EUR"]
["BA253","Barcelona School of Economics (BSE)","Randomized Control Trials (RCTs) in Development Economics: Design and Data Analysis","Online",5,5,"2022-06-20","2022-06-24","1000 EUR","2022-06-06","https://bse.eu/study/summer-school/development-economics","We organize the course around randomized design methods, a widely used identification strategy in development research. The main purpose of this course is to provide a deep dive into the design and then data analysis from RCTs. We cover development topics as examples of such strategy (e.g. microfinance, secondary schooling, and women's labor force participation) and discuss other methods as we compare RCT results to quasi-experimental results within topical case studies. This course provides students with tangible skills that they can take away.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 550 EUR"]
["BA254","Barcelona School of Economics (BSE)","Complex Network Analysis: Tools for Economic Development","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1325 EUR","2022-06-06","https://bse.eu/study/summer-school/development-economics","ou will learn how to model and predict social behavior at a large scale, without compromising the detailed interaction structures that are increasingly observed in growing datasets. Understanding these complex systems is crucial to construct effective policies that promote economic development in poor and developing regions.\n\nMore specifically, we will analyze how social and economic outcomes rely on the shape and structure of networks, and we will design policy recommendations that feed on rich network data to describe the best course of action. Complex Network analysis can be applied to study military alliances, the evolution of pandemics, sexual behaviour among adolescents, insurance transfers within villages, road networks and congestion, or Facebook networks of (mis)information, among many other examples that pertain to the field of development economics.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 750 EUR"]
["BA255","Barcelona School of Economics (BSE)","Empirical Methods for the Analysis of the Energy Transition","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/energy-economics","The objective of this course is to introduce the participants to key challenges in the energy sector as we decarbonize our economies. The class will be centered on quantitative tools that can assist us in modeling the rapid transformation of the energy sector, with a main focus on electricity markets. We will cover tools of mixed integer programming and machine learning that can assist the quantitative modeling of these complex systems. Each lecture will be paired with a practical application with data and coding exercises.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA256","Barcelona School of Economics (BSE)","Labor Market Outcomes","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1150 EUR","2022-06-06","https://bse.eu/study/summer-school/labor-economics","This course explores the determination of labor market outcomes, with a particular focus on the determination of the unemployment rate and the flow of workers between employment and unemployment.  Throughout the course we will use economic theory to motivate a careful analysis of relevant data sources.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\nBSE Alumni - 625 EUR"]
["BA257","Barcelona School of Economics (BSE)","Bayesian Time Series Methods I: Introductory","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","This is a course in introductory Bayesian econometrics with a focus on models used in empirical macroeconomics. It begins with a brief introduction to Bayesian econometrics, describing the main concepts underlying Bayesian theory and seeing how Bayesian methods work in the familiar context of the regression model. Computational methods are of great importance in modern Bayesian econometrics, and these are discussed in detail.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA258","Barcelona School of Economics (BSE)","Bayesian Time Series Methods II: Advanced","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","Introduced to econometrics by Nobel laureate Chris Sims and his students, Bayesian VAR methods have recently become the workhorse models for forecasting macroeconomic variables and are routinely used by central banks to inform policy decisions.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA259","Barcelona School of Economics (BSE)","Bayesian Time Series Methods III: DSGE Models Estimation","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","The objective of the course is to teach student how to use state of the art Bayesian methods to estimate and analyze modern macroeconomic models. The course will cover the most popular methods to construct posterior estimates of structural model parameters and probability intervals for arbitrary model outputs (such as impulse response functions and variance decompositions). Special attention will be given to recent advances in empirically analyzing the role of news, noise and imperfect information in business cycle models. The course aim to give students a good understanding of both advantages and limitations of the current generation of DSGE models.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA260","Barcelona School of Economics (BSE)","High-Dimensional Time Series Models I: Factor Models","Barcelona, Španielsko",5,5,"2022-07-11","2022-07-15","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","This course deals with factor models for large cross-sections of time-series (large N environment). We build the argument in steps, starting from the simplest multivariate technique, principal components.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA261","Barcelona School of Economics (BSE)","High-Dimensional Time Series Models II: Big Data and Machine Learning","Barcelona, Španielsko",5,5,"2022-07-11","2022-07-15","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","The course provides an introduction to the state-of-the-art econometric and statistical techniques used for the analysis of large panels of economic and ﬁnancial time series.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA262","Barcelona School of Economics (BSE)","Introduction to Time Series Analysis","Online",5,5,"2022-06-20","2022-06-24","725 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","The course is an introduction to time series analysis. The goal of the course is to provide students with the foundational concepts of time series econometrics and the knowledge of some popular time series models. The course, open to anyone, can be especially useful to participants of the Barcelona Macroeconometrics Summer School who want to acquire the necessary knowledge or strengthen their skills in this field, before starting the more specialized courses.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 425 EUR"]
["BA263","Barcelona School of Economics (BSE)","Time Series Methods for Macroeconomic Analysis I","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","The objective of this first course is twofold. First, to present some of the most popular time series models designed to analyze the propagation mechanisms and measure the effects of economic shocks. In particular we will cover in details Structural Vector Autoregressive models with a special focus on several identification schemes used in the literature. We also present several extensions like and FAVARs and Time-Varying Coefficients VAR. The second objective is to discuss some recent applications of these models in economics. The focus will be on monetary and fiscal policy shocks, news shocks, technology shocks and stock market bubbles. Matlab programs to implement the theoretical methods and replicate the applications studied in class will be made available to students.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA264","Barcelona School of Economics (BSE)","Time Series Methods for Macroeconomic Analysis II","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1400 EUR","2022-06-06","https://bse.eu/study/summer-school/macroeconometrics","After covering the most popular linear time series models designed to analyze the propagation mechanisms of policy measures and the dynamic effects of economic shocks, we open, in the second part of the course, to the possibility of non-linearities. This is a necessary complement to the lessons learnt on the first part of the course, because building on the previous knowledge, we allow for the fact that the same measures or the same shocks might have different, non-proportional, impact on the main macroeconomic variables, depending on the size, moment and sign of the measures and shocks, Understanding these features imply the need to properly infer the state of the economy in real time, in order to provide timely valuable information to rapidly design and implement the necessary policy responses. This is especially important in the deep COVID-19 recession that we are currently experiencing.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch; \nBSE Alumni - 800 EUR"]
["BA265","Barcelona School of Economics (BSE)","Dynamic and Non-linear Panel Data Models","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/microeconometrics","This course provides up-to-date coverage of dynamic panel data models, discrete choice panel data models as well as censored panel data models and the estimation of dynamic panel data models subject to selection. Apart from a review of relevant theory, the focus of the course is on the practical application of these models to various data contexts: small T – large N, unbalanced panels, rotating panels and pseudo panels constructed from cohort data. Some background in Econometrics is strongly recommended.","Some background in Econometrics is strongly recommended.\nEarly bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"]
["BA266","Barcelona School of Economics (BSE)","Dynamic Structural Models for Policy Evaluation","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/microeconometrics","This course deals with methods and applications of dynamic discrete choice structural models in Economics. The methods that we will discuss are often used by researchers with interests in Labor Economics, Industrial Organization, Quantitative Macro, Development Economics and many other fields in Applied Micro. The course focuses on the estimation of dynamic discrete choice structural models that allow for modelling the behavior of forward looking agents making discrete decisions. These models constitute a useful tool for policy evaluation and an interesting complement to reduced form approaches. In particular, they have the advantage of allowing for ex-ante policy evaluation, and of providing external validity for the inference, subject to the model assumptions. They also have the benefit of providing a close link between economic theory and empirics, and the possibility of making inference about the predictions of a model.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"]
["BA267","Barcelona School of Economics (BSE)","Econometrics of Cross-section Data with Applications","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/microeconometrics","The use of survey data is becoming a common practice among economists and social scientists both at academic and professional level. The main characteristic of this data is that it contains qualitative information, making the use of the regression model not suitable when we deal with models where the dependent variable is either a choice (having or not a private health insurance) or a status (being or not unemployed), or where the dependent variable only takes non negative values and a significant percentage of the observations are zeroes (expenditure on some particular goods like tobacco).On the other hand, the use of information with a panel data structure is also becoming frequent because it allows to deal with some limitations of the estimation of models with cross-section data.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"]
["BA268","Barcelona School of Economics (BSE)","Quantitative Methods for Public Policy Evaluation","Barcelona, Španielsko",5,5,"2022-07-04","2022-07-08","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/microeconometrics","The main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations, natural experiments, the regression discontinuity design, selection on observables, difference-in-differences, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the morning sessions, each approach will be presented and illustrated with specific examples in the areas of labor economics, health economics, and the economics of education. In the afternoon sessions, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"]
["BA269","Barcelona School of Economics (BSE)","Panel Data Linear Analysis","Barcelona, Španielsko",5,5,"2022-06-27","2022-07-01","1250 EUR","2022-06-06","https://bse.eu/study/summer-school/microeconometrics","This course considers methodological and substantive issues concerning the analysis of panel data. It starts by reviewing basic panel data models emphasizing the benefits and limitations of panel data over time series or cross-section data. Basic estimation and testing methods for random and fixed effects models are reviewed and illustrated using empirical applications using Stata and EViews. Next, problems of endogeneity in panel models are studied and panel instrumental variable estimation methods as well as Hausman type tests are reviewed and applied using an empirical application. The course also covers an introduction to dynamic panel data models. Finally, for large macro panels with a large number of countries observed over a long time series, we study issues of non-stationarity.","Early bird: 4.4.2022, 10% zľava;\n15% zľava pri 2 kurzoch, 25% zľava pri 3 kurzoch;\n BSE Alumni - 700 EUR"]
["UN306","University of Essex - Essex summer school","Introduction to R Programming for the Social Sciences","Online",5,5,"2022-07-04","2022-07-08","550 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/0a-introduction-to-r-programming-for-the-social-sciences/","The course will introduce participants to the open-source statistical software R. R is a highly versatile software environment suitable for introductory and advanced quantitative social science and data analysis. The course offers participants a near-complete foundation to use R in other courses at ESS.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN307","University of Essex - Essex summer school","Introduction to R","Online",1,1,"2022-07-10","2022-07-10","75 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1x-2x-3x-introduction-to-r-course/","The course is designed to prepare students for the programming components of subsequent coursework in your ESS session. It is intended for students without previous experience with or only basic knowledge of R.\n\nThis course provides a basic introduction to the R open-source software environment for statistical computing and graphics, with a focus on skills relevant to social science data analysis. Students will become familiar with the structure of R programming for a variety of applications. Students will learn to import and manage data sets, create objects, install and use packages, conduct basic statistical analyses, and produce basic graphics.","Tento kurz je ponúkaný ako doplnkový kurz k ďalšiemu, 17,5 alebo 35 hodinovému kurzu letnej školy. Je ponúkaný v 3 dátumoch:\n10.7.2022, 24.7.2022 a 7.8.2022"]
["UN308","University of Essex - Essex summer school","Introduction to Quantitative Text Analysis","Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1b/","With the massive availability of text data on the web, social scientists increasingly recognize automated text analysis (or “text as data”) as a promising approach for analyzing various kinds of social and political phenomena. This module introduces participants to a variety of its methods and tools. We discuss the underlying theoretical assumptions, substantive applications of these methods, and their implementation in the R statistical programming language. The meetings – which combine lectures and coding sessions in the RStudio Cloud platform – will be hands-on, dealing with practical issues in each step of the research process.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN309","University of Essex - Essex summer school","Introduction to Regression","Colchester, Veľká Británia",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1c-applying-regression/","This course covers regression analysis, both with continuous, ordinal, and categorical dependent variables. The focus will be on applied regression analysis, yet we will also deal with related topic like data treatment in Stata, interpretations, and how to test regression assumptions. The course includes ordinary least squares regression, logistic, ordinal, and multinomial regression, how to model and interpret non-linear effects as well as different types of statistical interactions. We will also focus on how to deal with breaches of assumptions.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN310","University of Essex - Essex summer school","Introduction to Social Network Analysis","Colchester, Veľká Británia/Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1d/","This course will provide a practical, but comprehensive introduction to the analysis of social networks. Social network analysis takes the view that social research should not solely focus on the individual unit of analysis, but rather emphasises that researchers should also incorporate the social relations (networks) that connect these individual units (actors). For example, we might be interested in friendship among schoolchildren, trust among employees, collaboration among NGOs, exchanges of resources among companies, or conflict among nations.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN311","University of Essex - Essex summer school","Statistical Modelling for Multilevel and Complex Data","Colchester, Veľká Británia",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1e/","Statistical models are important tools for analysing quantitative social science datasets such as large-scale social surveys. Nevertheless, ‘real life’ social science datasets are rarely simple and straightforward, such as involving a small number of measures from a simple random sample of cases. For this reason, in order to use statistical models effectively in applied research, we often have to add small extensions or adjustments that are designed to respond to complex aspects of our data.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN312","University of Essex - Essex summer school","Introduction to Statistics For Survey Data Analysis","Colchester, Veľká Británia",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1f/","This course provides an introduction to statistics for social science data analysis. We begin with key concepts – means, deviations, distributions, confidence intervals, and so on – and then move on to the core statistical methods, covering crosstabulation, t-tests, analysis of variance, correlation, and various forms of regression. There is a particular emphasis on analysis of survey data, including survey experiments – however, this remains primarily a course in statistical analysis rather than issues in survey methodology (like sampling or questionnaire design). The methods covered will be demonstrated using the computer package SPSS and a variety of example datasets.  However, students are welcome to use other software and they can also bring their own datasets on which to practise the different methods.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN313","University of Essex - Essex summer school","Longitudinal Data Analysis","Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1g/","Longitudinal data are an essential tool for researchers as they can help answer questions about change in time, causal relationships and the timing of events. They come in many shapes, from traditional panel surveys to social media and sensor data. Because of their additional complexity, specialized statistical models are needed to analyse them.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN314","University of Essex - Essex summer school","Qualitative Data Analysis: From Content to Discourse","Colchester, Veľká Británia",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1h/","This is a course centred mainly on the analysis of textual data in an interpretive spirit. The main emphasis is on exploring various approaches to qualitative data analysis and interpretation, from thematic analysis and the logic of formalized “coding”, to interpretative approaches such as discourse and narrative analysis. We will discuss how each of these methods reveals different aspects of the data and is grounded in different research perspectives. We will review the nature, strengths and limits of various approaches and get acquainted with their practicalities through a series of practical exercises. We will also explore the implications of various types of analysis on the data generation stage, for qualitative interviewing in particular, and reflect upon issues such as appropriate topic guides, interviewing techniques and transcription practices. (This is not a full course on interviewing though, only the aspects directly connected to the data analysis stage will be discussed).","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN315","University of Essex - Essex summer school","Qualitative Interviewing","Colchester, Veľká Británia",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1i/","This course aims to introduce participants to the most widely used qualitative research technique in the social sciences – the interview. The course is intended to systematically guide participants through the research process specific to a qualitative interview project, from research design through to conducting interviews, analysing them and writing up the findings. The course will focus on different types of qualitative interview – including in-depth interviews, psycho-social/sensitive interviews, expert interviews and focus group interviews. We reflect on the different techniques at an interviewer’s disposal to encourage participants to share their stories and reflexively discuss how interactions between interviewer and interviewee shape the data that is generated. This is a practical course and participants will gain first-hand experience of conducting and analysing qualitative interviews of different types, as well as critically reflecting upon their own interviewing practice (assumptions and techniques). There will be space for participants to bring their questions about interviews to the course for group discussion.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN316","University of Essex - Essex summer school","Beyond OLS: Categorical, Choice, and Count Models","Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1j/","This course offers an application-oriented introduction to maximum likelihood (ML) based models for categorical, discrete choice, and count data. We begin with the basics of ML estimation and a discussion of the theoretical foundations of categorical, discrete choice, and count-data models. We then focus on exploring logistic and probit regression models and learn how to apply them in the statistical software package Stata. Afterwards, we cover interpretation and hypothesis for testing these kinds of models. Against this background, we will consider more complicated estimation strategies, including ordered logit and probit regression models, multinomial logits, count models, or discrete duration models. The course concludes with an overview of advanced techniques of models for time-series cross-section (TSCS) categorical, discrete choice, and count data.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN317","University of Essex - Essex summer school","Introduction to Applied Bayesian Statistics","Colchester, Veľká Británia/Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1k/","This course introduces the basic theoretical and applied principles of Bayesian statistical analysis. The Bayesian paradigm is particularly well-suited for the types of data that social scientists encounter given its recognition of the mobility of population parameters, its ability to incorporate information from prior research, and its ability to update estimates as new data are observed. The course begins with a discussion of the strengths and weaknesses of the Bayesian approach and the philosophical differences between the Bayesian and frequentist approaches. Most of the course content will focus on estimating and interpreting a variety of models (linear, dichotomous and polytomous choice, poisson, missing data, latent variable, and multilevel) from an applied Bayesian perspective.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN318","University of Essex - Essex summer school","Web Scraping and Data Management for Social Scientists","Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1l/","This course will cover automated data collection from a variety of internet-accessible data sources including a wide range of web sites and Application Programming Interfaces. Students will learn to write software to automate the data-collection process. Data collected automatically over the Internet is generally unstructured, so students will further learn to write software to clean, structure, and visualize their data in preparation for analysis.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN319","University of Essex - Essex summer school","Introduction to Quantitative Methods in R","Online",10,12,"2022-07-11","2022-07-22","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1m-introduction-to-quantitative-methods-in-r/","The course will cover how to analyze quantitative data in the free, open-source software R.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN320","University of Essex - Essex summer school","Introduction to GIS, Geospatial Data and Spatial Analysis","Online",5,5,"2022-07-11","2022-07-15","550 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1p-introduction-to-gis-geospatial-data-and-spatial-analysis/","This course will provide the student with an in-depth knowledge of spatial data, and how it can be used in a variety of social science applications. They will learn how spatial data is structured, how and where it can be used and how and where it cannot be used. By the end of the course they will be able to apply the skills they have learnt in their own area of study, and there will be time during the course provided to start this will the instructor available to help."]
["UN321","University of Essex - Essex summer school","Quantitative methods for surveying hard-to-reach populations","Colchester, Veľká Británia/Online",5,5,"2022-07-11","2022-07-15","550 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/1s-surveying-hard-to-reach/","The course presents quantitative research methods to conduct research on rare, marginal, hidden, and elusive populations (also called hard-to-reach populations), such as, for example, sex workers, illegal immigrants, victims of trafficking, and drug users. After introducing and defining hard-to-reach populations, the course describes a wide range of methods: techniques to estimate the size of hard-to-reach populations (capture-recapture), sampling strategies (Respondent Driven Sampling, RDS), and data collection methods to ask questions about sensitive topics, including indirect questioning techniques (e.g. the Item Count Technique, the Randomised Response Technique, etc). Ethical issues arising when investigating hard-to-reach populations will be discussed. The course is applied in nature and includes examples from empirical research."]
["UN322","University of Essex - Essex summer school","Advanced Survey Data Analysis and Survey Experiments","Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2c-advanced-survey-data-analysis-and-survey-experiments/","This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analysing and enriching survey data, including question-wording, measurement and treatment validity, measurement of reported behaviour as well as social network studies. The course will also focus on designing and analysing survey experiments and current debates about the use of varying samples in these experiments. In addition, the course will consider various types of available samples, and the trade-offs in using certain sample types.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN323","University of Essex - Essex summer school","Case Study Methods","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2d-case-study-methods/","We will begin by discussing what a case study is and what it is good for. We will then look at research design, confronting the practical problems of crafting theory-driven and policy-relevant case studies. In the following sessions, we will address the critical issue of case selection and evaluate techniques for choosing cases. After that, we will deal with methods of data collection, including tools for combining qualitative and quantitative sources (e.g. triangulation). The reminder of the course will be dedicated to reviewing approaches for establishing causality (e.g. process tracing, counterfactuals, social experiments) and maximising the leverage of small-n comparisons (e.g. increasing observations, nested analysis, analytic narratives). During this course, students will engage with state-of-the-art applications of case studies drawn from a variety of disciplines and discuss the potential contributions of case study methods to their own research projects.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN324","University of Essex - Essex summer school","Multilevel Models: Practical Applications","Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2e-multilevel-models-practical-applications/","This course is an applied introduction to multilevel modelling that aims to give you deep understanding of the standard model. It does not presume any prior knowledge in multilevel modelling but does require you to be very familiar with multiple regression analysis.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN325","University of Essex - Essex summer school","Quantitative Text Analysis","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2f/","This course is designed to provide social science researchers an entry point to computational text analysis. Participants will gain hands-on experience designing and implementing a quantitative text analysis research project and will learn to discuss, evaluate and interpret the results. Each class consists of a 2-hours lecture followed by a 1.5 hours lab in which participants apply the methods covered in the lecture in R.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN326","University of Essex - Essex summer school","Panel Data Analysis for Comparative Research","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2g-panel-data-analysis-for-comparative-research/","This course provides a survey of regression models for time series (TS) and time series cross-section (TSCS) data, with an emphasis on modeling dynamics and panel structures.  After a review of the theory and estimation of linear regression and maximum likelihood, we will cover the following topics: modeling time series dynamics using trends, ARIMA models, lagged dependent variables, and seasonality; cointegration and error correction models; modeling cross-sectional variation using fixed and random effects in with either many or few time periods; coping with panel heteroskedasticity; and presentation and interpretation of TS and TSCS models.  Time permitting, we will cover advanced topics included in-sample simulation for panel data, multiple imputation for missing data in panel data, and linkages between panel data and hierarchical linear models.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN327","University of Essex - Essex summer school","Mixed Methods Research","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2h-mixed-methods/","Can combinations of different methods improve causal inference and related social-science tasks (theory-building, concept formation, description and measurement)? This course will explore mixed-method research designs that strengthen projects relying on many different methodological traditions: various kinds of qualitative research, regression-type statistical studies, experiments, and a range of machine-learning options. We will consider methodological arguments about efficient and less efficient approaches to mixed-method research for each of these combinations, including optimal case selection, assumptions, and other design considerations that maximize the synergy across methods.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN328","University of Essex - Essex summer school","Quantitative Data Analysis and Statistical Graphics with R","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2b/","The course introduces to quantitative social science data analysis using R. It focuses on the practical aspects of data analysis, including the management of social science data. It also shows how patterns within data can be visualised and how statistical models can be illustrated using appropriate diagrams. Consequently, the course cannot introduce basic or advanced statistical concepts, but such concepts are reviewed as appropriate.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN329","University of Essex - Essex summer school","Advanced Survey Data Analysis and Survey Experiments","Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2c-advanced-survey-data-analysis-and-survey-experiments/","This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analysing and enriching survey data, including question-wording, measurement and treatment validity, measurement of reported behaviour as well as social network studies. The course will also focus on designing and analysing survey experiments and current debates about the use of varying samples in these experiments. In addition, the course will consider various types of available samples, and the trade-offs in using certain sample types.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN330","University of Essex - Essex summer school","Machine Learning for Social Scientists","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/machine-learning/","This course introduces methods of machine learning for social scientists. The broad objective of machine learning is to uncover patterns in data, either as an exploratory device or to make predictions. The course covers a variety of topics, including supervised, unsupervised, and ensemble learning. We discuss how the general principles of machine learning, as well as specific algorithms. ","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN331","University of Essex - Essex summer school","Causal Inference and Experiments in the Social Sciences","Colchester, Veľká Británia/Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2k/","Do campaign messages actually affect public opinion? Does a refugee’s religion affect support for her asylum application? Do legislators respond when made aware of district preferences? This course develops a framework and a set of tools centred around answering causal questions such as these.  We lay foundations in the potential outcomes model, allowing us to identify causal inferences. We discuss why we might conduct field, survey, and laboratory experiments, best practices for designing and registering experiments, how to overcome common problems, and how to analyse experimental data.  We will also address special topics such as interference and mediation.  Using experiments as a foundation, we will examine and apply methods for causal inference from observational data, such as matching, regression adjustment, instruments, and discontinuity designs.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN332","University of Essex - Essex summer school","Spatial Econometrics","Colchester, Veľká Británia/Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2l/","Spatial dependencies are a universal feature in the social sciences. Phenomena as diverse as the occurrence and outcomes of violent mass protests, policy learning and position taking in party competition, or the competitive setting of tax rates to attract foreign direct investment across neighboring jurisdictions, all share a similar feature: actions taken by one actor are shaped in a theoretically meaningful way by the actions of one or more other actors. Spatial econometrics allows us to detect, model and estimate such interdependencies, and to work towards a causal interpretation of such relationships. The theoretical substance lies in the nature of interconnectedness between units, which can be geographic, economic, cultural, strategic etc., thus covering a wide ground of social science applications. This course begins with a data-oriented view of spatial patterns and dependencies in the data, then introduces a theory guided approach to building, estimating, and evaluating spatial and spatiotemporal regression models, and ends with a critical evaluation of the spatial approaches in the context of causal analysis.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN334","University of Essex - Essex summer school","Introduction to Probability Theory for MLE, Bayesian Inference and Machine Learning Using R","Colchester, Veľká Británia/Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2m-introduction-to-probability-theory-for-mle-bayesian-inference-and-machine-learning-using-r/","Students will gain a solid understanding of probability theory in the first week by learning the basics concepts and rules of probability theory. Based on that, students will learn in the second week how probability theory is used to make inferences in different contexts. More specifically, the course will introduce maximum likelihood, Bayesian inference, Markov Chain Monte Carlo techniques and Bayesian networks in their very basic forms. More extensive discussion will be provided by the other corresponding advanced courses in the ESS program.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN335","University of Essex - Essex summer school","Confirmatory Factor Analysis and Structural Equation Modelling","Colchester, Veľká Británia",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2n/","The course shows how theoretical assumptions concerning measurement models and substantive models can be translated into a structural equation model, and how the model can be estimated and tested with the Mplus 8 computer program. In the first part, we deal with confirmatory factor analysis (CFA), which relates multiple indicators to one (CFA) or several latent variables (Simultaneous Confirmatory Factor Analysis, Bifactor Models and second order confirmatory factor analysis) and multiple-group confirmatory factor analysis. Different specifications of measurement models are tested via confirmatory factor analysis (CFA) as a special case of a structural equation model (SEM) and we will discuss scale building procedures, measurement invariance testing and adequate reliability and validity estimates.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN336","University of Essex - Essex summer school","Introduction to Statistics for Social Science Research with SPSS","Online",10,12,"2022-07-25","2022-08-05","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2s/","The ability to understand quantitative data and to conduct analysis by using a statistical software is increasingly important in academic research as well as in the job market. This course will provide a gentle introduction to quantitative analysis for social science research and to the statistical software SPSS. ","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN337","University of Essex - Essex summer school","Advanced Social Network Analysis – Statistical Analysis for Cross-sectional and Longitudinal Social Network Analysis","Colchester, Veľká Británia/Online",5,5,"2022-07-25","2022-07-29","550 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/2r/","This module covers advanced statistical methods for analyzing social network data, focusing on testing hypotheses about network structure (e.g. reciprocity, transitivity, and closure), and the formation of ties based on attributes (e.g. homophily). The first three days provide an in depth discussion of exponential random graph models (also known as ERGM or p* models). We then introduce longitudinal models such as RSiena models (SAOMs) and relational event models.\nSoftware used includes: MPNet and R packages RSiena."]
["UN338","University of Essex - Essex summer school","Advanced Methods for Social Media & Textual Data","Colchester, Veľká Británia",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3b-advanced-methods-for-social-media-textual-data/","This course focuses on the research design and data analysis tools used to explore and understand social media and text data. The fundamentals of research design are the same throughout the social sciences, however the topical focus of this class is on computationally intensive data generating processes and the research designs used to understand and manipulate such data at scale.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN339","University of Essex - Essex summer school","Computational Methods for Social Data Science: Exploring Society through Visualization and Modelling","Colchester, Veľká Británia/Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3d-social-data-science/","Increasingly in modern data analysis, graphics and computational statistics are used together to explore and identify complex patterns in data and to make and communicate claims under uncertainty. This course will go beyond traditional ideas of charts, graphs, maps (and also statistics!) to equip you with the critical analysis, design and technical skills to analyse and communicate with data.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN340","University of Essex - Essex summer school","Special Topics in Network Analysis","Colchester, Veľká Británia/Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3e-special-topics-in-network-analysis/","This advanced course in social network analysis builds on prior training that students have had in this area, including some prior attention to both descriptive and inferential network analysis.  Topics include missing data, relational event models, community detection, and latent space models.  All students are expected to work (with the guidance and assistance of the instructor) on an empirical research project related to networks, either based on data collected by another scholar (e.g., replication materials from an article or book) or which the student collects themself.  The course culminates with 15-minute, conference-style presentations of research by each student on the final day.","Každý ďalší 35 hodinový kurz za 900 GBP","15 minútová prezentácia na konci školenia"]
["UN341","University of Essex - Essex summer school","Bayesian Analysis for the Social and Behavioural Sciences","Colchester, Veľká Británia/Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3f-bayesian-analysis/","In recent decades, there has been an explosion of interest in Bayesian methodologies in the sciences. There are several reasons for this recent interest: first, Bayesian methods often yield easier-to-interpret answers to statistical questions than classical methods; and second, Bayesian methods are applicable in situations where classical methods are difficult or impossible to implement. In this course, you will learn the basics of practical Bayesian data analysis.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN342","University of Essex - Essex summer school","Quantitative Methods for Causal Inference and Policy Evaluation","Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3g-methods-for-policy-analysis-and-evaluation/","Courses\nCourse Schedule\nCourse Description\nCourse Outline\nFees\nFAQ\nGeneral Info\nPlease note: This course will be taught online only. In person study is not available for this course. \n\nAdam Zelizer\n\nAdam Zelizer is an Assistant Professor at the University of Chicago’s Harris School of Public Policy. He studies legislative politics, with a focus on causal inference. His research has been supported by the National Science Foundation, Russell Sage Foundation, Cato Institute, Open Society Foundations, and Abdul Latif Jameel Poverty Action Lab, and his research has been published in the American Political Science Review, Quarterly Journal of Political Science, Legislative Studies Quarterly, and the Journal of Experimental Political Science. He received his Ph.D. in Political Science from Columbia University.\n\nCourse Content\n\nIn this course, students will learn the logic and methods of policy evaluation. We will focus on good research designs that answer important causal questions in public policy. In doing so, we will review the technical skills necessary to conduct credible empirical research such as field experiments, differences-in-differences, instrumental variables, and regression discontinuity designs. More importantly, we will practice the thinking necessary to develop and evaluate good research designs.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN343","University of Essex - Essex summer school","Advanced Quantitative Methods","Colchester, Veľká Británia",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3j-advanced-quantitative-data-analysis/","Building on students’ knowledge in simple linear regression, this course introduces more\nadvanced statistical methods. We will focus on the following topics:\n1) Sub classification, matching, and propensity score weighting as fundamental strategies to reduce confounding;\n2) Common interpretations of the OLS estimator;\n3) Robust inference with cluster robust standard errors as well as bootstrap estimators;\n4) Classical exposition of omitted variable bias and introduction to causal graphs to select control variables;\n5) Instrumental variable estimation with two-stage least-squares;\n6) Two-way fixed effects and the difference in-difference estimator with panel and cross-sectional data;\n7) Mediation and moderation\nanalysis. The course combines a theoretical introduction to each topic with lab sessions in\nwhich students perform replications of published work in Economics and Political Science.\nStudents are encouraged to bring their own data sets and present their research projects and\nempirical analyses.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN344","University of Essex - Essex summer school","Time Series and Panel Models for Dynamic and Heterogeneous Processes","Colchester, Veľká Británia/Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3k/","This course is designed for students who already have training in basic statistics and\nknowledge of linear regression analysis. The course deals with problems arising from dynamics and combining the time and space dimension in statistical data analysis. In particular, we will work with aggregated time-series data first and then aggregated time-series cross-sectional data e.g. geographic/administrative units over time. This data structure has the advantage of allowing for testing highly general theories with a wide scope but renders data analysis more complicated because one has to consider the time-series aspects (dynamics) and cross-sectional aspects (spatial correlation/unit heterogeneity) at the same time. The course confronts the problems arising from this complex data structure and also provides techniques to control and account for specific complications.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN345","University of Essex - Essex summer school","Scaling Methods and Ideal Point Estimation for Surveys and Behaviour","Colchester, Veľká Británia/Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3l-ideal-point-estimation-item-response-theory-and-scaling-methods/","This course focuses on methods to discover, understand and visualize latent patterns in data and is especially suited to students with projects using survey data and other forms of relational data used in political science, sociology, economics, business, marketing, and psychology. The course introduces students to measurement theory and methods of scaling techniques, integrating Multidimensional Scaling, Item Response Theory, and Ideal Point Estimation. ","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN346","University of Essex - Essex summer school","Advanced Methods for Text as Data: Natural Language Processing","Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3m-advanced-methods-for-text-as-data-natural-language-processing/","With the recent explosion in the availability of digitized text and the expanded access computing power, social scientists are increasingly leveraging  advanced computational tools for the analysis of text as data. In this course, students will explore the application of many advanced approaches for text-as-data research in the social sciences. ","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN347","University of Essex - Essex summer school","Advanced Machine Learning For Social Scientists","Online",10,12,"2022-08-08","2022-08-19","1100 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3n-advanced-machine-learning-for-social-scientists/","Machine learning refers to the automated detection of meaningful patterns in data. Not only are machine learning techniques ubiquitous today in that they are behind many of the technologies we use in our daily lives, but they have also become an important part of the social scientist’s toolkit, especially since more and more social science data are now available in electronic form. A common feature of all applications of machine learning is the use of computer algorithms that can “learn” and adapt. The goal of this course is to introduce participants to a variety of widely used supervised and unsupervised machine learning methods.","Každý ďalší 35 hodinový kurz za 900 GBP"]
["UN348","University of Essex - Essex summer school","Introduction to Programming in Python for Social Scientists","Colchester, Veľká Británia/Online",5,5,"2022-08-08","2022-08-12","550 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3h-introduction-to-programming-in-python-for-social-scientists/","This course is intended to provide knowledge of Python to social science students who already have some experience in quantitative analysis. Nowadays, knowledge of Python is indispensable for social scientists interested in data science-related fields. This is because the statistical languages traditionally and widely used in the social sciences are sometimes not fit for the various situations that occur frequently in social science research."]
["UN349","University of Essex - Essex summer school","Agent-Based Models","Colchester, Veľká Británia/Online",5,5,"2022-08-08","2022-08-12","550 GBP",null,"https://essexsummerschool.com/summer-school-facts/courses/ess-2022-course-list/3p/","By the end of this course, students will learn to turn a rough idea about a social science phenomenon into an account of the agents, behaviors, environments, and their interactions that can then be modeled in NetLogo. In addition to learning about modeling, students will be capable of using concepts and code from existing models, of turning their concepts into code, and of analyzing and evaluating the models that they create. NetLogo is designed as a low threshold framework that is easy to begin working with and has a high ceiling with extensive capabilities for sophisticated modeling."]
["EC328","European Consortium for Political Research (ECPR)","Working with Concepts","Online",5,5,"2022-08-01","2022-08-05","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11955","This course will teach you about the presuppositions, aims, and tools of positivist reconstruction and interpretivist elucidation.\n\nWith regard to reconstruction, you will learn how to how to construct concepts by defining and organising properties; how to situate the concept on a ladder of generality; how to build more complex ladders of generality that include diminished subtypes; and how to assess the goodness of a concept using the criteria of external differentiation, internal coherence, explanatory utility, and content validity.\n\nWith regard to elucidation, you will learn basic elucidative strategies derived from ordinary language philosophy and Foucauldian genealogy and how to assess the goodness of social-science concepts by recognising problems of one-sidedness, universalism, and objectivism."]
["EC329","European Consortium for Political Research (ECPR)","Machine Learning with Big Data for Social Scientists","Online",5,5,"2022-08-01","2022-08-05","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11962","The course has two core topics:\nconstructing and managing large datasets in R\nmachine learning, with specific focus on providing analytics from large datasets. \nFor the first topic, big data, we start by asking: What is big data? Why it is difficult to work with? We then learn the best solutions in R for working with big data depending on the size of data, from locally stored data objects to databases hosted on the cloud. \n\nFor the second topic, machine learning, we will learn basic concepts such as:\n\nproblem definitions\nobjective function\nbias-variance trade-offs\nparameter tuning. \nSocial scientists have traditionally emphasised the explanation as the primary purpose of statistical analysis. Machine learning has an overlapping but evidently different orientation.\n\nBy contrasting the inference-based approach and prediction-focused approach, you get to understand the fundamental ideas of machine learning.\n\nAfter theoretical discussions, we will apply machine learning techniques to various analytical tasks in social sciences."]
["EC330","European Consortium for Political Research (ECPR)","Case Study Research: Method and Practice","Online",5,5,"2022-07-18","2022-07-22","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11949","The course organisation follows the research process. \nWe will cover each of the following topics, step by step.\n\nDay 1\nLearn about the landscape of case study designs and identify the design that fits your research question. Starting with a brief discussion of concepts, we also briefly discuss the role and importance of populations. \n\nDay 2\nExplore the menu of case types available for analysis (typical, most-likely, etc) and learn how to choose the case you need to achieve your research goal. \n\nDay 3\nWe introduce different types of comparisons. You'll learn how they relate to the types of cases and their choice, and the benefits – and limits – of informed comparisons. \n\nDay 4\nWe introduce process tracing and learn how it can be used to study mechanisms. We'll discuss the pros and cons of different types of sources, and their organisation in the research process. \n\nDay 5\nWe arrange all elements in a broader picture and discuss the generalisation challenge in small-n research."]
["EC331","European Consortium for Political Research (ECPR)","Case Study Research: Method and Practice","Online",5,5,"2022-07-25","2022-07-29","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11986","This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn\n\nthe conceptual basis of a strong qualitative research design\ndifferent approaches to code qualitative data\ntechniques to seek patterns across themes and cases\nstrategies to present qualitative findings convincingly\ntips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis in week three."]
["EC332","European Consortium for Political Research (ECPR)","Qualitative Data Analysis","Online",5,5,"2022-07-18","2022-07-22","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11945","This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn\n\nthe conceptual basis of a strong qualitative research design\ndifferent approaches to code qualitative data\ntechniques to seek patterns across themes and cases\nstrategies to present qualitative findings convincingly\ntips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis in week three."]
["EC333","European Consortium for Political Research (ECPR)","Qualitative Data Analysis","Online",5,5,"2022-07-25","2022-07-29","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11957","This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn\n\nthe conceptual basis of a strong qualitative research design\ndifferent approaches to code qualitative data\ntechniques to seek patterns across themes and cases\nstrategies to present qualitative findings convincingly\ntips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis in week three."]
["EC334","European Consortium for Political Research (ECPR)","Online Qualitative Data Collection: Methods, Technology and Ethics","Online",5,5,"2022-08-01","2022-08-05","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11948","Purpose of the course\nThis course focuses on the use of digital technologies for qualitative data collection, from a conceptual to an applied perspective, including logistical, technical and ethical issues.\n\nIt provides hands-on training in online qualitative data collection methods, covering methodological and practical aspects of online focus groups, online interviewing and virtual ethnography (online fieldwork). \n\nBy the end of this course, you will be able to:\n\nunderstand concepts and assumptions of social science methodology using digital technologies\ndesign research with online qualitative data collection\ncollect qualitative data online\naddress technological and ethical issues using digital technologies."]
["EC335","European Consortium for Political Research (ECPR)","Critical Discourse Analysis","Online",5,5,"2022-07-25","2022-07-29","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11950","This course offers a comprehensive introduction to Critical Discourse Analysis (CDA) – and its central, Discourse-Historical Approach – as the key critical, qualitative approaches to analysing discourse within and beyond the field of contemporary politics. \n\nThe course highlights how deploying CDA/DHA can help to critically and systematically analyse and deconstruct discursive dynamics and the recontextualisation of discursive strategies in traditional and online (including social) media and across other modes of political, policy and institutional communication."]
["EC336","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Online",5,5,"2022-07-18","2022-07-22","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11951","You will learn how to use NVivo for conducting four methods of qualitative analysis that are very popular, and widely used, in the social sciences:\n\nqualitative content analysis\nthematic analysis\ncross-case analysis\ngrounded theory\nOn the last day we look at method integration, that is, the possibility to integrate components of the four methods in a single study.\n\nBy the end of this course, you will be able to:\n\nDescribe the aim, objectives, and expected outcomes of the above four methods\nDemonstrate how each method suits a given research question\nImplement each method’s coding and analysis procedures in NVivo\nGenerate graphic displays that match each method’s style\nAppraise the quality of qualitative studies that used the four methods\nPropose situations where methods integration is feasible."]
["EC337","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Online",5,5,"2022-07-25","2022-07-29","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11958","You will learn how to use NVivo for conducting four methods of qualitative analysis that are very popular, and widely used, in the social sciences:\n\nqualitative content analysis\nthematic analysis\ncross-case analysis\ngrounded theory\nOn the last day we look at method integration, that is, the possibility to integrate components of the four methods in a single study.\n\nBy the end of this course, you will be able to:\n\nDescribe the aim, objectives, and expected outcomes of the above four methods\nDemonstrate how each method suits a given research question\nImplement each method’s coding and analysis procedures in NVivo\nGenerate graphic displays that match each method’s style\nAppraise the quality of qualitative studies that used the four methods\nPropose situations where methods integration is feasible."]
["EC338","European Consortium for Political Research (ECPR)","Introduction to NVivo","Online",5,5,"2022-07-18","2022-07-25","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11942","This course teaches the basic and advanced features of NVivo for qualitative data analysis. You will learn to\n\nset up an NVivo project\norganise a qualitative dataset\nmanage your literature review\nautocode data and code data inductively\nseek patterns and identify relationships across themes and cases\npresent qualitative findings using visualisations.\nThe course uses the latest version of NVivo (version R1) for Mac and Windows. NVivo for Mac does not currently have all the features of NVivo for Windows. If you are a Mac user and want to learn all the features taught on this course, you must attend using a PC. Download the 14-day free trial of NVivo for Mac or Windows."]
["EC339","European Consortium for Political Research (ECPR)","Introduction to R","Online",5,5,"2022-07-18","2022-07-22","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11943","The goal is to provide an accessible entry into the world of R. The course will enable you to approach the most common analysis tasks in R with confidence. \n\nWe will cover data cleaning, exploratory data analysis, creating visualisations, and writing entire academic papers using RMarkdown. \n\nR has an unfortunate reputation as a steep learning curve, but the aim is to dispel this myth and show how a range of recent developments make R not just powerful, but accessible to newcomers."]
["EC340","European Consortium for Political Research (ECPR)","Introduction to Inferential Statistics","Online",5,5,"2022-07-25","2022-07-29","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11956","Quantitative data is becoming increasingly available, and publications are making the use of it more prevalent in political science. This course offers you the necessary tools to engage in and become an informed consumer of quantitative research. Its goal is to teach you the basic inferential statistical techniques used in political science research, allowing you to progress to more advanced techniques."]
["EC341","European Consortium for Political Research (ECPR)","Survey Design","Online",5,5,"2022-08-01","2022-08-05","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11954","Everyone nowadays can run a survey, especially with the help of online platforms. However, not everyone can conduct one that complies with best practice and standards in the field to ensure high quality data is collected. This course teaches you how to design surveys for various outcomes, target groups and constructs, by drawing on the Total Survey Error (TSE) framework."]
["EC342","European Consortium for Political Research (ECPR)","Applied Regression Analysis: Estimation, Diagnostics, and Modelling","Online",5,5,"2022-08-01","2022-08-05","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11964","This course offers an introduction to regression analysis using R. You will learn the classical theory of Ordinary Least Squares (OLS) regression, as well as non-linear regression techniques. We will use a variety of data and models to show when and how regression can be useful in policy analysis as well as in other contexts."]
["EC344","European Consortium for Political Research (ECPR)","Multivariate Statistical Techniques for Comparing Countries","Online",5,5,"2022-08-01","2022-08-05","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11959","This course offers an introduction to the main statistical techniques used to analyse cross-national comparative surveys data. \n\nIts main goal is to teach you how different statistical methods treat the ‘country effect’: how statistical models (linear regression, logit models, loglinear models, multilevel regression models), scaling techniques (from simple methods to complex factorial techniques) or data reduction methods (factor and PCA analysis) test for the ‘invariance’ of the relationship between variables across countries. "]
["EC345","European Consortium for Political Research (ECPR)","Panel Data Analysis","Online",5,5,"2022-07-25","2022-07-29","930 GBP","2022-06-15","https://ecpr.eu/Events/Event/PanelDetails/11941","This course focuses on panel data models estimated with OLS; namely, linear models for dependent variables that are continuous or can be reasonably assumed to be continuous.\n\nAlthough the basic concepts and ideas also apply to models designed for binary or ordinal dependent variables such as probit or logit, these models are complicated by maximum likelihood estimation (MLE) and require a different set of foundations.\n\nLimited course hours and the complexity of MLE means we won't cover panel data models for dependent variables that are non-continuous, such as fixed effect logit and 2SLS (IV) probit models."]
["GE278","GESIS – Leibniz Institute for Social Sciences","Using Directed Acyclic Graphs for Causal & Statistical Inference","Online",3,3,"2022-08-03","2022-08-05","300 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x4D047CCB5ED943D981A6A2493C252CA3","This online short course uses causal graphs (or “directed acyclic graphs”, DAGs) as a remarkably simple, yet general and powerful framework to describe and discuss a large set of problems that empirical social scientists need to tackle. Is my question of interest descriptive or causal? How can I communicate my assumptions effectively to others, and can I test them? How can I tell correlation from causation? How do I choose control variables for my regression models? After discussing how DAGs can be used to answer these foundational questions, the course also covers basics of causal interaction and effect heterogeneity, causal mediation, nonresponse/selection bias (and adjustments for it) and, if time permits, instrumental variables and panel data analysis from a DAG perspective."]
["GE279","GESIS – Leibniz Institute for Social Sciences","Introduction to Stata for Data Management and Analysis","Online",3,3,"2022-08-03","2022-08-05","300 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xE8D34483D4BA475D867D86A95079A018","This online short course will give a thorough introduction to the software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills. The course will not cover basic statistical methods and their underlying mathematics but will focus on their practical application using electoral research data in Stata.\n \nIn the first part of the course, we will cover the program's interface and introduce its syntax structure and basic rules for writing clean and reproducible Stata code. Subsequently, we will provide you with skills in hands-on data management, common data analyses, and the visualization of results. Depending on the participants' prior knowledge, we might provide further insight into the automatization of data wrangling and analysis procedures and the export of publication-ready results. Additionally, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems."]
["GE280","GESIS – Leibniz Institute for Social Sciences","Introduction to Survey Design","Kolín nad Rýnom, Nemecko",5,5,"2022-08-08","2022-08-12","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xA42CBA98711C4733A333D8C830B6F8FD","This course gives an introductory overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing data quality at each step of the process against associated costs.\nThis class is mainly targeted at master and Ph.D. Students that plan on conducting their own surveys."]
["GE281","GESIS – Leibniz Institute for Social Sciences","Designing, Implementing, and Analyzing Longitudinal Surveys","Kolín nad Rýnom, Nemecko",5,5,"2022-08-08","2022-08-12","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x0307AB49332B4494B1DBAD90A178609E","The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:\na review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put;\nkey aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes;\nimportant aspects of designing a questionnaire and measurement for a longitudinal study, particularly for capturing micro-level change;\nthe impact of non-response and attrition in a panel, and adjustments such as weighting and imputation given that missing data patterns differ between waves;\nan introduction to important analysis considerations and methods when using a longitudinal survey design:\nin addition, each day there will be time used for practical applications of lectures and methods taught and provide an opportunity for more interaction with the instructors."]
["GE282","GESIS – Leibniz Institute for Social Sciences","Data Science Techniques for Survey Researchers","Online",5,5,"2022-08-08","2022-08-12","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xA64ADE3C323446758ADE2D3365ACFB08","A variety of digital data sources are providing new avenues for empirical social science research. To effectively utilize these data for answering substantive research questions, a modern methodological toolkit paired with a critical perspective on data quality is needed. Organized and offered in collaboration with BERD@NFDI, this course introduces state-of-the-art data science techniques that are suited for collecting and analyzing digital behavioral data, so-called \"big data\", and traditional survey data. In addition, aspects of data quality and error frameworks for digital (big) data sources are discussed."]
["GE283","GESIS – Leibniz Institute for Social Sciences","(Non-)Probability Samples in the Social Sciences","Online",5,5,"2022-08-08","2022-08-12","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xD6020B2872F1457BA8AF6B7292B7D5F7","The main objective of the course is to provide students with a full overview of the history, theoretical foundations, critical arguments, and accumulated empirical evidence surrounding the debate about probability and nonprobability sample surveys. A focus will be on real-world examples of why and how the choice of sample type matters, including topics such as election polling debacles, mispredictions during the pandemic (e.g., willingness to get vaccinated), and the role that surveys can have in supporting versus debunking fake news."]
["GE284","GESIS – Leibniz Institute for Social Sciences","Questionnaire Design","Kolín nad Rýnom, Nemecko",5,5,"2022-08-15","2022-08-19","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x70FBAD5791C34DEFAD9CAB02BE5E59EA","Based on these two pillars of knowledge the course aims to educate participants in their professional reasoning when designing survey questions and questionnaires. Based on the theoretical concepts and experiments discussed in the lectures, participants will be guided and supported in designing and testing topical survey questions during practical sessions and by means of assignments.\nThe examples discussed in the course will mainly be taken from surveys of individuals and households; the business survey will not be covered. The course is not restricted to a specific survey mode; examples will be taken from face-to-face surveys, telephone surveys, web surveys, and mail surveys. Coverage issues, sampling, weighting, nonresponse, and other aspects of survey design will not be covered."]
["GE285","GESIS – Leibniz Institute for Social Sciences","Introduction to R for Data Analysis","Online",5,5,"2022-08-15","2022-08-19","600 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xBD2E46766CBB4427BB57DB7E0B2F5C6A","The open-source software package R is free of charge and offers a variety of standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting."]
["GE286","GESIS – Leibniz Institute for Social Sciences","Factorial Survey Design","Kolín nad Rýnom, Nemecko",5,5,"2022-08-15","2022-08-19","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x441C415B4204486A97782EFECC9F03C9","This course provides a theoretical and practical overview of factorial survey methods. Participants will gain practical insights into all the single steps necessary to design a factorial survey experiment: (1) construction of vignettes, (2) selection of an experimental design, (3) drafting and programming of questionnaires (for online surveys as well as paper and pencil surveys), (4) data management, and (5) data analysis techniques (e.g., multilevel analyses, willingness to pay estimates). The course is structured as follows: Instructors will provide an overview on factorial survey experiments and explain practical tasks. Participants work on the tasks in individual “hands on” exercises. For the practical exercises, participants may choose a research question related to their own research (e.g., PhD project)."]
["GE287","GESIS – Leibniz Institute for Social Sciences","Design and Implementation of Web Surveys","Online",5,5,"2022-08-15","2022-08-19","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xC7D057E751D34AF48BC1538385E69384","This online course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users' (respondents') experience while interacting with the web-based instrument. Students will also develop basic plans for data collection. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class."]
["GE288","GESIS – Leibniz Institute for Social Sciences","Applied Multiple Imputation","Kolín nad Rýnom, Nemecko",5,5,"2022-08-22","2022-08-26","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0x848BB799B3CE4C9482F9B58AC87CBADF","The goals of the course are to introduce participants to the basic concepts and statistical foundations of missing data analysis and MI, and to enable them to use MI in their own work. The course puts heavy emphasis on the practical application of MI and on the complex decisions and challenges that researchers are facing in its course. The focus is on MI using iterated chained equations (aka “fully conditional specification”) and its implementation in the software package Stata. Participants should have a good working knowledge of Stata to follow the applied parts of the course and to successfully master the exercises. Participants who are not familiar with Stata may still benefit from the course but will likely find the exercises quite challenging."]
["GE289","GESIS – Leibniz Institute for Social Sciences","Collecting and Analyzing Longitudinal Social Network Data","Kolín nad Rýnom, Nemecko",5,5,"2022-08-22","2022-08-26","750 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xC6CAE41A047F45079A3DC5DD37DD367D","Many social scientists are interested in understanding how social networks emerge and/or how they shape individual behavior. These questions of network formation (“selection”) and network effects (“influence”) concern both human individuals and organizational units. Examples for selection are the emergence of friendship between people or cooperation between firms; examples for influence are adolescents start smoking because of their friends or firms copying other firms' strategies. Selection and influence are inherently dynamic processes, but few social scientists have been trained in collecting, processing, and analyzing longitudinal social network data.\n \nThis course guides participants who intend to collect and/or analyze longitudinal social network data. For this purpose, we rely on a mix of interactive lectures, guided examples, and practical exercises. We use R for all guided examples and exercises, and we use and provide exemplary school-based friendship network data."]
["GE290","GESIS – Leibniz Institute for Social Sciences","Sampling and Weighting in Survey Statistics","Online",2,2,"2022-08-22","2022-08-23","300 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xAF85B7C396C64B71A550B7FAEC8195BC","Methods to analyze data taught in introductory statistics and econometric courses often rely on the assumption that the data are collected in a simple random sampling process. However, in practice rather complex sampling techniques are often used, such as stratification or clustering. In these cases, a weight has to be assigned to the sampled units to account for the sampling design. The course will cover methods to select random samples and weight the sampled units to infer from the single sample to the population. We will discuss the several steps in a weighting process including 1) obtaining the design weights to account for the random sample selection, 2) adjusting the design weights to compensate for nonresponse, and 3) adjusting the weights such that the sample estimates agree with known population totals. The focus of the course is on the intuition of the underlying theory and the statistical methods so that the participants can assess the appropriateness of the methods in their application by themselves. For the course, no prior knowledge on survey statistics is required, but the participants are expected to be comfortable with statistics and to have some experience with data analysis. We will do exercises in R that apply the techniques learned in the lecture. Participants will get the most out of the class if they have prior experience with R."]
["GE291","GESIS – Leibniz Institute for Social Sciences","Mixed-Mode Surveys","Online",3,3,"2022-08-24","2022-08-26","300 EUR",null,"https://training.gesis.org/?site=pDetails&child=full&pID=0xA4F16924DCCD439BA3E8A8C51B04179B&subID=0xF372F2468FDC4FF88C53C6641E4D13DB","In this short course, we provide an overview of empirical evidence related to the benefits and drawbacks of using multiple modes for data collection and outline some recommendations for the implementation of mixed-mode surveys. Specifically, we will cover topics such as mixed-mode-specific questionnaire design considerations, experimental evidence on comparing mixed-mode surveys with single-mode surveys, and optimal strategies of how to implement them. The practical part of the course provides an introduction on statistical methods for testing measurement equivalence of multi-item scales for mixed-mode and mixed-device survey data employing confirmatory factor analysis with multiple groups representing different modes. Furthermore, we demonstrate its use with prepared examples using the programs R-lavaan, Mplus Automation, and Mplus."]
["IP055","ictPRO","PYTHON - ZÁKLADY PROGRAMOVÁNÍ","Online/Brno, Česko",3,3,"2022-06-15","2022-06-17","14 278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP056","ictPRO","PYTHON - ZÁKLADY PROGRAMOVÁNÍ","Online/Brno, Česko",3,3,"2022-08-10","2022-08-12","14 278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP057","ictPRO","PYTHON - POKROČILÉ PROGRAMOVÁNÍ","Online/Brno, Česko",3,3,"2022-07-13","2022-07-15","16 093 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-pokrocile-programovani-PYTH2.aspx","Už umíte psát jednoduché programy v Pythonu a chcete svoji dovednost upevnit a získat dobré programátorské návyky? Python je objektově orientovaný programovací jazyk, který se velmi dobře integruje s dalšími nástroji. Python můžete použít k tvorbě všechno od drobné automatizace a skriptů až po rozsáhlé systémy.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP058","ictPRO","PYTHON - POKROČILÉ PROGRAMOVÁNÍ","Online/Brno, Česko",3,3,"2022-09-07","2022-09-09","16 093 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-pokrocile-programovani-PYTH2.aspx","Už umíte psát jednoduché programy v Pythonu a chcete svoji dovednost upevnit a získat dobré programátorské návyky? Python je objektově orientovaný programovací jazyk, který se velmi dobře integruje s dalšími nástroji. Python můžete použít k tvorbě všechno od drobné automatizace a skriptů až po rozsáhlé systémy.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP059","ictPRO","DATOVÁ ANALÝZA V PYTHONU","Online/Brno, Česko",3,3,"2022-08-25","2022-08-26","11 858 CZK",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx","Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech..","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP060","ictPRO","DATOVÁ ANALÝZA V PYTHONU","Online/Brno, Česko",3,3,"2022-10-20","2022-10-21","11 858 CZK",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx","Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech..","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP061","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ A MANIPULACE S DATY V SQL SERVERU (SQL1)","Online/Brno, Česko",3,3,"2022-06-08","2022-06-10","13 189 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-a-manipulace-s-daty-v-SQL-Serveru-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek. Součástí kurzu jsou příkazy jazyka SQL, které slouží pro manipulaci s daty, tvorbu tabulek, vkládání, úpravu a odstraňování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP062","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ A MANIPULACE S DATY V SQL SERVERU (SQL1)","Online/Brno, Česko",3,3,"2022-08-03","2022-08-05","13 189 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-a-manipulace-s-daty-v-SQL-Serveru-SQL1.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek. Součástí kurzu jsou příkazy jazyka SQL, které slouží pro manipulaci s daty, tvorbu tabulek, vkládání, úpravu a odstraňování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP063","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ V SQL SERVERU (SQL1A)","Online/Brno, Česko",2,2,"2022-06-08","2022-06-09","8 954 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-v-SQL-Serveru-SQL1A.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP064","ictPRO","JAZYK SQL – ZÁKLADY DOTAZOVÁNÍ V SQL SERVERU (SQL1A)","Online/Brno, Česko",2,2,"2022-08-03","2022-08-04","8 954 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-dotazovani-v-SQL-Serveru-SQL1A.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí orientovat v prostředí programu SQL Server Management Studio (SSMS), používat jazyk T-SQL (Transact-SQL) pro zápis výběrových dotazů a jejich omezujících kritérií. Seznámí se s jednotlivými typy relačních vazeb mezi tabulkami a naučí se propojovat záznamy z více tabulek.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP065","ictPRO","JAZYK SQL – ZÁKLADY MANIPULACE S DATY V SQL SERVERU (SQL1B)","Online/Brno, Česko",1,1,"2022-06-10","2022-06-10","4 719 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-manipulace-s-daty-v-SQL-Serveru-SQL1B.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí manipulovat s daty v prostředí programu SQL Server Management Studio (SSMS). Seznámí se s příkazy Transact-SQL (T-SQL) pro tvorbu tabulek, vkládání, úpravu a odstraňování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP066","ictPRO","JAZYK SQL – ZÁKLADY MANIPULACE S DATY V SQL SERVERU (SQL1B)","Online/Brno, Česko",1,1,"2022-08-05","2022-08-05","4 719 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-zaklady-manipulace-s-daty-v-SQL-Serveru-SQL1B.aspx","Kurz je určen pro analytiky, manažery a vývojáře, kteří potřebují získávat a analyzovat data z SQL Serveru. Účastníci se naučí manipulovat s daty v prostředí programu SQL Server Management Studio (SSMS). Seznámí se s příkazy Transact-SQL (T-SQL) pro tvorbu tabulek, vkládání, úpravu a odstraňování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP067","ictPRO","JAZYK SQL - POKROČILÉ TECHNIKY A PROGRAMOVÁNÍ V SQL SERVERU (SQL2)","Online/Brno, Česko",2,2,"2022-06-23","2022-06-24","9 559 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-pokrocile-techniky-a-programovani-v-SQL-Serveru-SQL2.aspx","Cílem kurzu je rozšíření znalostí o pokročilou programovatelnost SQL Serveru. Účastníci se naučí vytvářet a pracovat s pohledy, zapsat a používat vlastní uživatelské funkce, seznámí se s pokročilejšími možnostmi práce s daty jako jsou skórování dat, triggery a stored procedury, CTE a rekurzivní dotazy. Dozví se jak využít transakce pro vyšší bezpečnost a spolehlivost zpracování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP068","ictPRO","JAZYK SQL - POKROČILÉ TECHNIKY A PROGRAMOVÁNÍ V SQL SERVERU (SQL2)","Online/Brno, Česko",2,2,"2022-08-18","2022-08-19","9 559 CZK",null,"https://www.skoleni-ict.cz/kurz/Jazyk-SQL-pokrocile-techniky-a-programovani-v-SQL-Serveru-SQL2.aspx","Cílem kurzu je rozšíření znalostí o pokročilou programovatelnost SQL Serveru. Účastníci se naučí vytvářet a pracovat s pohledy, zapsat a používat vlastní uživatelské funkce, seznámí se s pokročilejšími možnostmi práce s daty jako jsou skórování dat, triggery a stored procedury, CTE a rekurzivní dotazy. Dozví se jak využít transakce pro vyšší bezpečnost a spolehlivost zpracování dat.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP069","ictPRO","PRINCE2® FOUNDATION","Online/Brno, Česko",3,3,"2022-05-30","2022-06-01","22 869 CZK",null,"https://www.skoleni-ict.cz/kurz/PRINCE2-Foundation-PRNC1.aspx","Účelem tohoto certifikačního školení PRINCE2 Foundation je seznámit stávající či budoucí projektové manažery či jiné zájemce s flexibilní a snadno použitelnou metodikou projektového řízení pomocí PRINCE2. Kurz seznámí účastníky jak se základy této metodiky PRINCE2, tak i s jejími klíčovými principy.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["IP070","ictPRO","PRINCE2® FOUNDATION","Online/Brno, Česko",3,3,"2022-07-25","2022-07-27","22 869 CZK",null,"https://www.skoleni-ict.cz/kurz/PRINCE2-Foundation-PRNC1.aspx","Účelem tohoto certifikačního školení PRINCE2 Foundation je seznámit stávající či budoucí projektové manažery či jiné zájemce s flexibilní a snadno použitelnou metodikou projektového řízení pomocí PRINCE2. Kurz seznámí účastníky jak se základy této metodiky PRINCE2, tak i s jejími klíčovými principy.","Kurz je možné absolvovať aj v iných dátumoch v Prahe."]
["BE010","Bank of England","Advanced analytics: new methods and applications for macroeconomic policy 2022 (Konferencia)","Londýn",2,2,"2022-07-21","2022-07-22",null,null,"https://www.bankofengland.co.uk/events/2022/july/advanced-analytics-new-methods-and-applications-for-macroeconomic-policy","The conference aims to connect leading researchers in academia and policy institutions to present and discuss the latest advances in the interdisciplinary field of advanced analytics. For example, how do these techniques best address pressing policy questions, and how do the resulting answers compare with conventional approaches? Could these novel approaches become the norm and how?"]
["BU153","Budapest School for Central Bank Studies","The Economy as a Complex Production Network: Supply chain disruptions and economic dynamics","Online",5,5,"2022-07-25","2022-07-29","1 200 EUR","2022-07-11","https://www.mnb.hu/en/research/budapest-school-for-central-bank-studies/courses","Topics covered: \nIntroduction to Production Networks: Lingo and a Baseline G.E. Framework. Application: Introduction to network data manipulation and visualization, IO Tables as a Network; Comovement Across Sectors;\nAggregation in Linear and Nonlinear Economies. Application: COVID-19 Impact\nNetworked Propagation: Micro Evidence. Application: Aggregate Consequences of Natural Disasters as Supply Chain Disruptions\nMulti-Sector DSGE Models OR Policy as Network Targeting. Application: Selection from applied use cases in the literature (trade, spatial, financial frictions, misallocation, industrial policy)"]
["CM017","Cemmap","Remote Policy Evaluation Methods course","Online",3,3,"2022-06-28","2022-06-30","924 GBP",null,"https://www.cemmap.ac.uk/event/remote-policy-evaluation-methods-course-6/","The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).","6.6.-27.6. self-paced study, práca v  STATA/R"]
["CU028","Cranfield University","Military Operational Analysis Appreciation","Shrivenham, Spojené kráľovstvo",5,5,"2022-05-16","2022-05-20","1 750 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/military-operational-analysis-appreciation","This course provides an introduction to defence analysis and operational analysis.",null,"nie"]
["EM039","EcoMod Network","Practical General Equilibrium Modeling with GAMS","Praha, Česko",5,5,"2022-06-27","2022-07-01","4 145 USD",null,"https://ecomod.net/node/7","Intensive course at the introductory level. For those who have little or no experience in modeling and in GAMS. The course will introduce all the basic tools for constructing and implementing large-scale applied general equilibrium models for policy analysis.","early bird - discount 500 USD (11.5.2022)","nie"]
["EM040","EcoMod Network","Energy and Environmental CGE Modeling with GAMS","Praha, Česko",5,5,"2022-06-27","2022-07-01","4 145 USD",null,"https://ecomod.net/modeling-school/list-of-courses/energy-and-environmental-cge-modeling-with-gams","Intensive course at the advanced level. The course will focus on modeling energy and greenhouse gas emissions. This course is only accessible to those who have some experience in general equilibrium modeling and to the alumni of the EcoMod School.","early bird - discount 500 USD (11.5.2022)","nie"]
["EM041","EcoMod Network","Macroeconometric Modeling using EViews","Praha, Česko",5,5,"2022-06-27","2022-07-01","4 145 USD",null,"https://ecomod.net/modeling-school/list-of-courses/macroeconometric-modeling-using-eviews","Intensive course at the introductory level. This course is tailored for staff developing or using small or medium size macro models and staff involved in forecasting and policy analysis in the central banks, ministries and international institutions.The course will introduce all the basic tools for constructing and implementing medium-scale macroeconometric models for policy analysis.","early bird - discount 500 USD (11.5.2022)","nie"]
["EM042","EcoMod Network","Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step","Praha, Česko",5,5,"2022-06-27","2022-07-01","4 145 USD",null,"https://ecomod.net/modeling-school/list-of-courses/dynamic-stochastic-general-equilibrium-dsge-modeling-step-by-step","This course is tailored for professionals involved in economic forecasting and policy analysis in the central banks, ministries, research organizations, and international institutions.The course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.","early bird - discount 500 USD (11.5.2022)","nie"]
["EE001","Environment Europe","Ecological Economics, Governance and Environmental Sustainability: Business Transformation, ESG Investment and New Sustainable Business Models.","Oxford, Veľká Británia",5,6,"2022-08-22","2022-08-27","4 275 GBP","2022-07-01","https://environmenteurope.eu/oxford-spring-2022","The School will address key elements of the new economy transformation, exploring the cutting edge methods, models and policy and business applications in ecological economics. With a clear sustainable development focus, it will draw on the expertise of a range of disciplines: economics, ecology, physics, environmental sciences, sociology, psychology, complex systems theory, etc. to address the current challenges: climate change, biodiversity loss, resource depletion, water shortages, social cohesion and achieving sustainability. The course will be composed of a theoretical and applied modules and will address multiple elements of the new economy transformation: a systemic vision of sustainability, multiple criteria methods supporting decision making and new tools for measuring progress. Particular emphasis this year will be on the role of business: sustainability transformation, ESG investment and new sustainable business models.","early bird - 3975 GBP (1.5.2022)","áno - skupinový projekt"]
["PT036","PTV Group","PTV Visum - Introduction to Macroscopic Network Modelling","Online",3,3,"2022-06-07","2022-06-09","1 350 GBP",null,"https://www.ptvgroup.com/en/training/courses/tr-t0101/","You will learn how to handle the network objects and the processing of demand matrices. Moreover, operating various graphical analyses and evaluations is in the focus. We will acquaint you with the description of procedure sequences including the procedures for private transport assignment as well as a common procedure for public transport assignment. We will use the PTV Visum Scenario manager to illustrate how to construct a base scenario and multiple planning scenarios and how to work with these scenarios.\n\nThis course serves as the basis for any PTV Visum application and further training courses. Participation in this training course is required for future use of the Technical PTV Visum support service due to the maintenance contract."]
["SH030","Swiss School of Public Health","Community-based participatory methods in public health","Online",3,3,"2022-08-22","2022-08-24","1 200 CHF",null,"https://www.ssph-lugano-summerschool.ch/courses/community-based-participatory-methods-in-public-health","This course aims to provide participants with knowledge about the key principles, methods, concepts and techniques of community-based participatory methods and the practical application ofCBPM in the context of public health. Participants will learn how CBPM can be applied in the design, implementation and evaluation of public health programmes (i.e. health promotion, prevention of disease and management of chronic illness). It will also facilitate a space of reflection to examine howCBPM can be used to support the response to the Covid-19 pandemic including vaccination efforts and interventions to tackle health inequalities. "]
["SH031","Swiss School of Public Health","Strategic public health policy and planning in times of uncertainty: Using systems modelling for evidence-based decision making","Hybrid",3,3,"2022-08-22","2022-08-24","1 200 CHF",null,"https://www.ssph-lugano-summerschool.ch/courses/strategic-public-health-policy-and-planning-decisions-in-times-of-uncertainty-using-system-modelling-for-evidence-based-decision-making","This 3-daycourse will expose students to:\n\nThe ‘what and why’ of systems modelling and simulation\nReal-world applications that informed policy and planning through the participatory development of decision support tools\nExposure to different systems modelling methods including their practical application\nA hands-on approach to building simple- and intermediate-level prototype models with interactive user interfaces"]
["TC018","Tayllorcox","PRINCE2® Foundation","Online/Praha, Česko",3,3,"2022-06-06","2022-06-08","24 563 CZK",null,"https://www.tx.cz/prince2/prince2-foundation","Nevyžaduje praxi. Přesto vás naučí principy projektového řízení, v celém životním cyklu projektu. Metodiku PRINCE2® lze aplikovat na velké i malé projekty, napříč obory. Tento interaktivní kurz obsahuje vše: příručku, šablony, 2x cvičné testy a oficiální test PRINCE2® 5th edition (v češtině, nebo PRINCE2® 6th edition (anglická verze).\n\n3500+\nAbsolventů\n"]
["TS029","Tstat","A VISUAL ANALYSIS OF SPATIAL DATA – MAPPING IN STATA","Online",1,1,"2022-07-08","2022-07-08","550 EUR","2022-06-28","https://www.tstattraining.eu/training/visual_analysis_spatial_data_mapping_stata_ol/","This course offers an introduction to the visual analysis of spatial data using the statistical software Stata. The course opens with an overview of the peculiar characteristics of spatial data and the implications of such for the analysis of spatial data, before moving on to discuss the concept of spatial proximity and the centrality of this particular concept to spatial data analysis. In the final session the focus turns, with the help of series of official and user written commands specifically developed for the visualization of spatial data in Stata, to the main mapping techniques implemented for the visual analysis of spatial data in Stata."]
["TS030","Tstat","INTRODUCTION TO SPATIAL ANALYSIS USING STATA","Online",5,5,"2022-09-26","2022-10-04","2 160 EUR","2022-09-16","https://www.tstattraining.eu/training/intro-spatial-analysis-stata-ol/","Our “Introduction to Spatial Analysis using Stata” course offers researchers a unique opportunity to acquire the necessary toolset to conduct exploratory spatial data analysis. The course begins by providing an overview of Stata’s sp suite of commands for spatial analysis and then discusses both how to manage different kind of spatial data and how to prepare spatial data for empirical analysis. The course moves on to focus on spatial data visualization, how to define proximity using spatial weights matrices and how to detect spatial autocorrelation. In the closing sessions participants are introduced to spatial autoregressive models, more specifically on the concepts of estimation, testing and model selection. Special emphasis is given to the computation and interpretation of average direct and indirect marginal effects and to the treatment of special cases such as multiple spatial interactions and more endogenous covariates.v","Kurz sa koná v dátumoch 26.9.-27.9.-28.9. a 3.-4.10.2022"]
["TS031","Tstat","NON-LINEAR PANEL DATA MODELS IN STATA","Online",2,2,"2022-06-23","2022-06-24","873 EUR","2022-06-13","https://www.tstattraining.eu/training/nonlinear-panel-data-models-stata-ol/","This course follows on from our Linear Panel Data Models in Stata course to offer the necessary theoretical background and the applied skills to enable participants to: i) independently employ non-linear micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. The focus is therefore on non-linear estimation techniques (more specifically Poisson, Probit, Logit and Tobit panel data models) and issues of sample selection and attrition."]
["TS032","Tstat","DYNAMIC PANEL DATA ANALYSIS","Online",5,5,"2022-09-21","2022-09-30","2 160 EUR","2022-09-11","https://www.tstattraining.eu/training/dynamic-panel-data-analysis-ol/","This course offers a rigorous overview of existing dynamic panel data analysis techniques, thus providing participants with the opportunity to acquire the more advanced technical capabilities currently available for panel data analysis. In the opening session, participants are given, through a series of illustrative examples, a theoretical and applied overview of Instrumental variable analysis (IV) and Generalized methods of moments (GMM), both of which being an important class of estimators for the estimation of dynamic linear panel data models. The course then turns to address more recent issues in dynamic panel data analysis, such as weak instruments with persistent data; instrument proliferation; gaps in the data; estimation with serially correlated errors; robust inference with multiway clustering and the finite-sample performance of estimators and tests.","Kurz sa koná v dátumoch 21.-23.9.2022 a 29.9. a 30.9.2022,"]
["TS033","Tstat","INTRODUCTION TO SPATIAL PANEL DATA MODELS USING STATA","Online",5,5,"2022-10-17","2022-10-25","2 160 EUR","2022-10-07","https://www.tstattraining.eu/training/intro-spatial-panel-data-models-stata-ol/","Our “Introduction to Spatial Panel Data analysis using Stata” course offers participants the opportunity to acquire the necessary theoretical and empirical toolset for modelling data which are correlated in time and space using both official and community written Stata spatial estimation commands. The opening session reviews Stata’s inbuilt sp command suite and illustrates how one prepares data for a spatial longitudinal analysis, before moving on to discuss different estimation techniques for both spatial fixed- and random-effects “static” models and for dynamic models with additive and/or interactive fixed-effects.","Kurz sa koná v dátumoch 17.-19.10.2022 a 24.-25.10.2022"]
["UN294","University of Copenhagen","Applied Machine Learning and Big Data Analysis","Kodaň, Dánsko",5,5,"2022-08-15","2022-08-19","2 755 EUR + VAT","2022-05-31","https://lifelong.ku.dk/copenhagensummeruniversity/courses/applied-machine-learning-and-big-data-analysis/","Machine Learning is entering essentially all data-based fields, and Big Data is omnipresent from private industries to governmental organizations. It is a new approach to problem solving, and while the potential is often exaggerated, Machine Learning does indeed introduce new opportunities, but it also poses some very real challenges. The ability to analyze and combine large amounts of data from different sources has obvious applications. However, the lack of quality in the data combined with a high variance means that conventional analysis often fails, while Machine Learning algorithms are less affected, if trained and used correctly. \n\nThis course will bring you to the forefront of the field of applied machine learning by introducing you to the newest tools and methods in large-scale data analysis based on cutting-edge research and the extensive experience."]
["UN295","University of Copenhagen","Behavior Change - Applied Behavioral Economics","Kodaň, Dánsko",5,5,"2022-08-22","2022-08-26","2 755 EUR + VAT","2022-05-31","https://lifelong.ku.dk/copenhagensummeruniversity/courses/behavior-change/","This course will give you a hands-on approach on behavioral change by learning and applying the methods of behavioral economics to policy. We will review research on human decision making from psychology, political science, organizational behavior and economics and we will look for easy‐to‐implement solutions. At the end of this course, you will be able to identify human biases and creatively design behavioral interventions, policies or products that help people make better decisions."]
["PA254","Paris School of Economics","EXPERIMENTAL ECONOMICS - Empirical tools and methods to investigate economic behavior","Online/Paríž, Francúzsko",5,5,"2022-06-20","2022-06-24","2 000 EUR","2022-06-01","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/experimental-economics/","The objective of the Experimental Economics program is to offer young scholars a crash course in empirical methods aimed at understanding economic behavior: how to design, implement and analyze an experiment so to answer a research question. The summer school is methodological in nature, although typical results from behavioral economics will be introduced as examples and illustrations on how protocols are designed to overcome observation/measurement/identification issues. Participants will be trained in the aim of being able to soundly rely on experiments in their future research projects.","A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"]
["PA255","Paris School of Economics","MACROECONOMICS - Understanding macroeconomic fluctuations","Online/Paríž, Francúzsko",5,5,"2022-06-20","2022-06-24","2 000 EUR","2022-06-01","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/macroeconomics/","The aim of the programme is to provide the essential tool box of macroeconomics. Emphasis is put on introducing tools and developing deep understanding. All courses review core, standard models that are useful for understanding crises and recessions, and the role of policy therein. We then introduce recent research at the frontie","A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"]
["PA256","Paris School of Economics","MICROECONOMETRICS AND POLICY EVALUATION - Modern Estimation Methods and Machine Learning","Online/Paríž, Francúzsko",5,5,"2022-06-27","2022-07-01","2 000 EUR","2022-06-01","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/microeconometrics/","The Microeconometrics and Policy Evaluation program presents recent developments in the microeconomic analysis of impact evaluation, with courses taught by experts in their fields. Providing a credible estimation of a causal effect has become a standard in economic analysis, both in research papers and policy reports. But it is also equally important to integrate the estimated effects into economic models, in order to improve the design of policies. The programme therefore proposes a comprehensive approach of policy analysis.\nThe course “Methods of policy evaluation” introduces the main methods currently used for program evaluation, while the course “Machine learning for policy evaluation” presents recent advances in machine learning techniques for policy analysis. Students will also attend practice classes in STATA, according to their level of proficiency (intermediate vs. advanced).\nThe courses are designed for graduate students wishing to gain additional skills in applied microeconometrics for policy evaluation, as well as for researchers and professionals in public and private institutions who work on impact evaluation.\nThis course aims at providing theoretical insights on methods for public policy evaluation, as well as experience in data manipulation and Stata software.","A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"]
["PA257","Paris School of Economics","MIGRATION ECONOMICS - Development impacts of migration and challenges in global labor markets","Online/Paríž, Francúzsko",5,5,"2022-06-20","2022-06-24","2 000 EUR","2022-06-01","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/migration-economics/","Migration is a major aspect of globalization and is increasingly at the center of the public and policy debate. What are the microeconomic impacts of migration and how to address the challenge of identifying them? What is the relationship between migration, other dimensions of globalization, and development? What are the public finance and demographic effect of immigration for the host countries? What are the effects of immigration on the labor market? How do host societies adapt to increasingly diverse population?\nThe program combines theoretical modeling in the migration literature with the most recent and rigorous empirical evidence.","A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"]
["PA258","Paris School of Economics","CLIMATE CHANGE - Impacts, adaptation and political constraints","Online/Paríž, Francúzsko",5,5,"2022-06-13","2022-06-17","2 000 EUR","2022-06-01","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/climate-change/","The impact of climate change on the economy (for example, agriculture, income, migration, etc.) and appropriate regulation of « the greatest externality the world has ever seen », as the Stern Review puts it, are increasingly at the center of the policy and scientific debate.\nHow do we measure the impacts of climate change on economic outcomes? What are the relevant economic instruments to combat climate change in a globalized world? How do we transition toward a greener energy system? How do lobbying and citizens’ assemblies influence the actual climate policies? How can trade help regions mitigate the impacts of climate change? How do we use geocoded data in empirical projects?\nThe Climate Change program introduces participants to the cutting-edge research on the topic and familiarizes them with the relevant methods of analysis (econometric analysis, dynamic modelling).","A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"]
["PA259","Paris School of Economics","DEVELOPMENT : Inequality, social interactions and institutional dynamics","Online/Paríž, Francúzsko",5,5,"2022-06-20","2022-06-24","2 000 EUR","2022-06-01","https://www.parisschoolofeconomics.eu/en/teaching/pse-summer-school/development/","This program gets you up to speed with the existing academic literature and current debates. It presents leading theories, different research methods, and takes stock of the empirical evidence on inequality and institutional development. On that basis, it identifies the research frontier on this topic and delineates policy challenges.\nInstitutions and social frictions (associated with inequalities, political conflicts, corruption, and cultural polarization) have emerged as central themes in development economics. This course takes stock of existing research and moves on to draw the outline of the current research frontier. How do institutions shape the development process? How do understudied informal institutions, such as identities and customs, interact with formal institutions? How do we interpret recent trends in inequality within low- and middle-income countries?\nOur program approaches these questions by drawing on formal theory and rigorous empirical research in two core modules: “Inequality and development” and “Models of Cultural Dynamics and Social Identity”. In addition, two shorter modules develop empirical applications of the core course themes. These modules cover the role of civil conflict, corruption, and media in economic development. The objective of the program is to equip you with the background and tools you need as a researcher to contribute to this dynamic field.","A 10% discount is offered to:\nGroup of 4 people or more.\nTo benefit from this discount: summer-school psemail.eu\nPSE Students & Alumni (Masters, PhD and Summer school)"]
["AC325","ACREA CR","Analýza a predikce časových řád","Praha/Online",3,3,"2022-12-05","2022-12-07","540 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-a-predikce-casovych-rad/","Časová řada je posloupnost číselných hodnot zaznamenaných v čase. Časové řady vznikají v téměř každém oboru lidské činnosti. Při jejich analýze se snažíme vysvětlit a modelovat principy, které vývoj řady určují, a využít tyto poznatky pro předpověď budoucího chování řady.","cena kurzu je bez DPH","nie","áno"]
["AC326","ACREA CR","Analýza Kategorizovaných Dát 1- dvourozměrné kontigenční tabulky četností ","Praha/Online",1,1,"2023-01-16","2023-01-16","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi","cena kurzu je bez DPH","nie","áno"]
["AC327","ACREA CR","Analýza Kategorizovaných Dát 2- dvourozměrné kontigenční tabulky četností ","Praha/Online",1,1,"2023-01-17","2023-01-17","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi","cena kurzu je bez DPH","nie","áno"]
["AC324","ACREA CR","Analýza Kategorizovaných Dát 3- dvourozměrné kontigenční tabulky četností ","Praha/Online",1,1,"2023-01-18","2023-01-18","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi","cena kurzu je bez DPH","nie","áno"]
["AC304","ACREA CR","Analýza Rozptylu: Přístupy k odhalováni příčin vlivů","Praha/Online",2,2,"2022-10-10","2022-10-11","430 EUR ",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-rozptylu/","Analýza rozptylu (analýza variance, ANOVA) je jednou ze základních statistických metod, která nachází uplatnění ve všech oblastech aplikované statistiky a analýzy dat. Umožňuje odhalit faktory, které ovlivňují chování dané číselné veličiny a posoudit míru jejich vlivu, provést detailní porovnání skupin nebo očistit zkoumaný vztah od vlivu jiné proměnné.","cena kurzu je bez DPH","nie","nie "]
["AC305","ACREA CR","Bayesovské strukturní modelovaní","Praha/Online",1,1,"2022-11-28","2022-11-28","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/bayesovske-strukturni-modelovani/","Bayesovská statistika je dnes plnohodnotnou alternativou k běžně užívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Používá se pro různé základní postupy (analogie t-testů, analýzy rozptylu a regresní analýzy), o nichž se lze více dozvědět v kurzu Úvod do bayesovské analýzy dat.\nKromě toho proniká i do složitějších postupů jako je strukturní modelování. Základní představení strukturních modelů je obsahem kurzu Modelování statistických vztahů (IBM SPSS Amos). Software IBM SPSS Amos umožňuje kromě klasického (frekvenčního) výpočtu používat i bayesovské strukturní modely. Kurz představí jednak základní logiku bayesovské analýzy dat, jednak praktické aplikace v prostředí IBM SPSS Amos.\n\n","cena kurzu je bez DPH","nie","nie "]
["AC329","ACREA CR","Diskriminační Analýza","Praha/Online",1,1,"2022-12-12","2022-12-12","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/diskriminacni-analyza/","Diskriminační analýza je technika klasifikace případů do dvou nebo více skupin pomocí souboru číselných proměnných a z nich odvozených syntetických kritérií. Model poskytuje výstupy pro klasifikaci/rozhodování mezi třídami nominální proměnné, studium závislostí mezi proměnnými a pro komparační analýzu skupin","cena kurzu je bez DPH","nie","áno"]
["AC306","ACREA CR","Korelační Analýza","Praha/Online",1,1,"2022-10-17","2022-10-17","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/korelacni-analyza/","Korelace patří k nejzákladnějším pojmům statistické analýzy dat. Má své přímé aplikace a současně je nutnou podmínkou pro další analytické postupy (regresní a faktorová analýza, hierarchické modely, teorie měření a další). Její předností je jednoduchá aplikace, přehlednost a názornost korelačních měr a intuitivní význam výsledků. Naproti tomu ale mohou jednotlivé míry zkreslit informaci vyjadřovanou daty, nejsou-li uplatňovány korektně podle jejich významu a vlastností.","cena kurzu je bez DPH, CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n13 440 Kč / 480 € + DPH za 3 kurzy\nKorelační analýza + Regresní analýza I + Regresní analýza II ","nie","nie "]
["AC307","ACREA CR","Logické Regrese","Praha/Online",1,1,"2022-11-21","2022-11-21","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/logisticka-regrese/","Logistická regrese je predikčním modelem pro kategorizované veličiny. Nezávislé proměnné mohou být jak číselné, tak i kategorizované. Na základě nalezeného modelu lze provádět predikce pro neznámé případy včetně odhadu pravděpodobnosti výskytu jednotlivých cílových kategorií. Metoda se užívá v bankovnictví, medicíně, marketingu, ekonomii a v technických nebo přírodních vědách.","cena kurzu je bez DPH","nie","nie "]
["AC330","ACREA CR","Příprava dat pro analýzu","Praha/Online",1,1,"2022-12-13","2022-12-13","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/priprava-dat-pro-analyzu/","Příprava dat je základním předpokladem kvalitní analýzy. V dnešní době se setkáváme s velkým množstvím datových zdrojů, nicméně tato data bývají často ve špatné kvalitě nebo v nevhodné podobě pro následné zpracování. Analytik si proto musí data nejprve připravit, což v praxi obvykle zabere více času než samotná analýza. V tomto kurzu se zaměříme na obecné postupy a základní problémy přípravy dat od načítání dat z různých formátů a spojování datových souborů přes čištění dat a přípravu datové matice až po transformace proměnných a datové operace jako agregace či restrukturalizace.","cena kurzu je bez DPH","nie","áno"]
["AC308","ACREA CR","Regresní Analýza I","Praha/Online",1,1,"2022-10-18","2022-10-18","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-i/","Regresní analýza je metoda statistické analýzy vztahů. Slouží k popisu, vysvětlení a k predikci. Kurz zahrnuje modely jednorozměrné a vícerozměrné lineární regresní analýzy pro číselné proměnné. Důraz je kladen na význam a konstrukci základního modelu, testy hypotéz o jeho parametrech a na výběr vhodných prediktorů pomocí automatických postupů","cena kurzu je bez DPH, CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n13 440 Kč / 480 € + DPH za 3 kurzy\nKorelační analýza + Regresní analýza I + Regresní analýza II ","nie","nie "]
["AC309","ACREA CR","Reportování a Vizualizace Statických Dat","Praha/Online",2,2,"2022-09-29","2022-09-30","388 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/reportovani-a-vizualizace-statistickych-dat/","Statistické reportování patří mezi základní úkoly mnoha analytiků. Naučte se, jak správně vytvářet statistické tabulky, grafy a zprávy tak, aby byly přehledné a srozumitelným způsobem vyjadřovaly podstatnou informaci","cena kurzu je bez DPH","nie ","nie "]
["AC310","ACREA CR","Seskupovací (Klastrová) Analýza","Praha/Online",1,1,"2022-11-23","2022-11-23","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/seskupovaci-analyza/","Seskupovací analýza umožňuje roztřídit pozorované jednotky (zákazníky, výrobky, regiony apod.) do několika skupin tak, aby si případy ve stejné skupině byly co nejvíce podobné a naopak, případy z různých skupin se co nejvíce odlišovaly.","cena kurzu je bez DPH, CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n8 960 Kč / 320 € + DPH za 2 kurzy\nFaktorová analýza + Seskupovací analýza","nie ","nie "]
["AC311","ACREA CR","Stanovení velikosti výzkumného souboru","Praha/Online",1,1,"2022-10-24","2022-10-24","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/velikost-vyzkumneho-souboru/","Kurz seznámí účastníky s postupy, které lze uplatnit při plánování velikosti výběrů. Na počátku budou vymezeny základní pojmy z teorie výběrových šetření a poté rozebrány základní možnosti výběrových souborů (zejména odlišeny náhodné a nenáhodné). Dále budou představeny základní možnosti pro stanovení velikosti výběrového souboru, od nejjednodušších (vypočtených na základě předpokládané variability proměnné) až po komplikovanější založené na koncepci síly testu a intervalu spolehlivosti.","cena kurzu je bez DPH","nie ","nie "]
["AC312","ACREA CR","Úvod do Bayesovké analýzy dát","Praha/Online",1,1,"2022-11-14","2022-11-14","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/uvod-do-bayesovske-analyzy-dat/","Bayesovská statistika je plnohodnotnou alternativou k běžně využívané frekvenční statistice (tj. statistice založené zejména na testování statistických hypotéz a bodovém a intervalovém odhadu parametrů). Na rozdíl od frekvenční statistiky nevycházejí odhady bayesovské statistiky pouze z výběrového souboru, ale ovlivňují je i naše předchozí znalosti (apriorní informace). Výsledek (aposteriorní odhad) je tak kombinací našich dat a dříve získaných poznatků. Bayesovské přístupy jsou vhodné zejména tam, kde dochází k replikaci studií a zároveň tam, kde jsou výběrové soubory poměrně malé. Jejich velkou předností je také možnost flexibilní práce s různými typy proměnných (nespojité) a možnost odhadů (imputací) chybějících hodnot.  V rámci kurzu se zaměříme především na analogii t-testů, analýzy rozptylu a regresní analýzy za pomoci programu IBM SPSS Statistics ve spojení s R.","cena kurzu je bez DPH","nie ","nie "]
["AC313","ACREA CR","\nREPORTOVÁNÍ A VIZUALIZACE STATISTICKÝCH DAT","Praha/Online",2,2,"2022-09-29","2022-09-30","388 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/reportovani-a-vizualizace-statistickych-dat/","Cílem kurzu je seznámit účastníky se základními principy statistického reportování se zaměřením na tabulkovou a grafickou analýzu. Projdeme si nejčastěji užívané typy tabulek a grafů a naučíme se rozeznat, ve kterých případech je použít. Ukážeme si různé způsoby, jak vizuálně usnadnit čtení informace. Shrneme základní pravidla a doporučení pro vytváření statických tabulek, grafů i zpráv. Vše si ukážeme na praktických příkladech v IBM SPSS Statistics.","cena kurzu je bez DPH","nie ","nie "]
["AC331","ACREA CR","\nKORELAČNÍ ANALÝZA V JAZYCE R","Praha/Online",1,1,"2022-12-14","2022-12-14","200 EUR",null,"https://kurzystatistiky.cz/kurzy/kurzy-softwaru-ibm-spss/korelacni-analyza-v-jazyce-r/","Seznámit posluchače s korelačními měrami pro číselná data a s jejich aplikačním využitím v různých praktických situacích. Látka je ilustrována a procvičována na reálných datech z analytické praxe. Tyto příklady budou účastníkům prezentovány v jazyce R, konkrétně ve volně dostupném programu RStudio.","cena kurzu je bez DPH","nie ","áno"]
["AC316","ACREA CR","\nTEXT MINING","Praha/Online",1,1,"2022-11-29","2022-11-29","245 EUR",null,"https://kurzystatistiky.cz/kurzy/data-mining/text-mining/","Textminingový kurz seznámí účastníky s metodami extrakce klíčových vlastností z textu a s jejich využitím při predikčním modelování. Pro extrakci vlastností z textu budeme používat metody statistického zpracování přirozených jazyků (NLP). Ty umožní detekovat koncepty a skrytá témata, která lze díky variabilitě a bohaté slovní zásobě přirozených jazyků vyjádřit mnoha způsoby. V kurzu budou probírány extrakce příznaků na různých úrovních: od písmenných skupin zvaných n-gramy přes termíny až po komplexní sémantická témata a jejich vlastností. Příkladem extrakce komplexních vzorů z textu může být analýza sentimentu, kdy rozeznáváme kladné a záporné postoje autora. Metody statistického zpracování přirozených jazyků musí být nezbytně podporovány mnoha lingvistickými zdroji ve formátu slovníků a pravidel. Účastníci se seznámí i s touto jazykovou oporou, aby byli schopni vhodně vybrat a případně modifikovat lingvistické zdroje pro konkrétní úlohu.","cena kurzu je bez DPH","nie ","nie "]
["AC320","ACREA CR","REGRESNÍ ANALÝZA V JAZYCE R","Praha",1,1,"2023-01-11","2023-01-11","200 EUR",null,"https://kurzystatistiky.cz/kurzy/kurzy-softwaru-ibm-spss/regresni-analyza-v-jazyce-r/","Cílem jednodenního kurzu je porozumět základnímu principu a významu regresní analýzy a aplikacím těchto modelů v jazyce R.","cena kurzu je bez DPH","nie ","áno"]
["AC318","ACREA CR","\nREGRESNÍ ANALÝZA II","Praha/Online",1,1,"2022-10-19","2022-10-19","200 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/regresni-analyza-ii/","Samostatný jednodenní kurz navazuje na látku kurzu Regresní analýza I. Pojednává o ověřování správnosti a vhodnosti lineárního regresního modelu. Rozšiřuje modelové možnosti pro zpřesnění popisu vztahů a nabízí aparát diagnosticko-predikčního charakteru. Pojednává o kategorizovaných prediktorech a analýze jejich vlivu na závislou proměnnou, o nelineárních a interakčních členech v rovnici. Postupy hodnocení modelu pomocí reziduí a charakteristik vlivu jednotlivých pozorování. Predikční role regresních rovnic a ocenění jejich predikční síly tak, aby výsledné rovnice maximálně odpovídaly datové realitě.","cena kurzu je bez DPH, CENOVĚ VÝHODNÝ BALÍČEK KURZŮ - 20% SLEVA\n13 440 Kč / 480 € + DPH za 3 kurzy\nKorelační analýza + Regresní analýza I + Regresní analýza II ","nie ","nie "]
["AC319","ACREA CR","Základy Statistiky pro analýzu dat","Praha/Online",3,3,"2022-11-07","2022-11-09","480 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/zaklady-statistiky-pro-analyzu-dat/","Úvodní statistický kurz je uspořádán tak, aby zahrnoval základní témata a nejčastěji užívané metody statistické analýzy dat (popisná statistika, testy hypotéz, korelační a regresní analýza).","cena kurzu je bez DPH","nie ","nie "]
["AE036","AdeptEvents","TACKLING DATA QUALITY PROBLEMS","Online",1,1,"2022-12-08","2022-12-08","280 EUR","2022-09-30","https://adeptevents.nl/event/tackling-data-quality-problems?lang=en","In our digital age many organisations seek to become data driven and are investing heavily in new technologies to make it happen. But this investment will not deliver its promised riches unless the data itself on which it depends is fit for purpose and of the required quality. Having accurate, complete and reliable data is a ‘must have’ for any digital business or organisation.","nie ","nie ","nie "]
["AE028","AdeptEvents","CLOUD DATA WAREHOUSING","Van der Valk Hotel, Utrecht",1,1,"2022-10-13","2022-10-13","695 EUR",null,"https://adeptevents.nl/event/cloud-datawarehousing?lang=en","As we stand, engineers have been building cloud tech based data warehouses in The Netherlands since 2015. But how do we actually design a cloud based data warehouse that really leverages the new technological capabilities the cloud brings? How does it differ from the classical, on premise data warehousing approach? And how can we go about implementing such a cloud based data warehouse technically?","nie ","nie ","nie "]
["AE029","AdeptEvents","THE DATA-PROCESS CONNECTION","Online",1,1,"2022-10-31","2022-10-31","280 EUR",null,"https://adeptevents.nl/event/data-process-connection?lang=en","Whether you call it a conceptual data model, a domain map, a business object model, or even a “thing model,” a concept model is invaluable to process and architecture initiatives. Why? Because processes, capabilities, and solutions act on “things” – Settle Claim, Register Unit, Resolve Service Issue, and so on. Those things are usually “entities” or “objects” in the concept model, and clarity on “what is one of these things?” contributes immensely to clarity on what the corresponding processes are.","ZĽAVA-EARLY BIRD\nThe Early Bird rate of € 252,00 expires (*) after 30 September 2022. Register now and receive discount!","nie ","nie "]
["AE030","AdeptEvents","AGILE DATA WAREHOUSE DESIGN & DIMENSIONAL MODELING","Van der Valk Hotel, Utrecht",3,3,"2022-11-07","2022-11-09","1990 EUR",null,"https://adeptevents.nl/event/agile-data-warehouse-design?lang=en","Agile Data Warehouse Design covers step-by-step techniques for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders.","ZĽAVA- EARLY BIRD\nThe Early Bird rate of € 1.791,00 expires (*) after 8 October 2022. Register now and receive discount!","nie ","nie "]
["AE032","AdeptEvents","BUSINESS-ORIENTED DATA MODELLING MASTERCLASS","Van der Valk Hotel, Utrech",3,3,"2022-11-14","2022-11-16","1990 EUR",null,"https://adeptevents.nl/event/datamodelling?lang=en","This three-day interactive workshop combines the core content from two popular data modelling offerings by Alec Sharp – Business Oriented Data Modelling and Advanced Data Modelling. Suitable for both new and experienced modellers, this course first explores unique techniques for rapidly developing high-quality models while maintaining the involvement of business professionals.","ZĽAVA- EARLY BIRD\nThe Early Bird rate of € 1.791,00 expires (*) after 15 October 2022. Register now and receive discount!","nie ","nie "]
["TI351","Timberlake Consultants","Introduction to Linear Mixed Models using Stata","Online",2,1,"2022-09-20","2022-09-21","450 GPB",null,"https://www.timberlake.co.uk/courses/introduction-linear-mixed-models-stata-sep22.html","Mixed models are a modern powerful data analysis tool to analyse clustered data, typically arising in studies where the levels of a factor are a random selection from a wider pool, or in the presence of a multi-level nested structure with different levels of variability.\nPotential benefits of mixed models are greater generalisability of results and accommodation of missing values. In particular, mixed models have been used in clinical trials to analyse repeated measures, where measurements taken over time naturally cluster according to patient.","nie ","nie ","nie "]
["TI352","Timberlake Consultants","Econometrics of Program Evaluation Using Stata","Online",2,1,"2022-10-24","2022-10-25","450 GPB",null,"https://www.timberlake.co.uk/courses/econometrics-program-evaluation-oct22.html#overview","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.","nie ","nie ","nie "]
["TS035","Tstat","INTRODUCTION TO SPATIAL ANALYSIS USING STATA","Online",2,1,"26.9.2022/3.10.2022","27.9.2022/4.11.2022","1770 EUR",null,"https://www.tstattraining.eu/training/intro-spatial-analysis-stata-ol/","Many phenomena in the fields of economics, medical and social science, such as unemployment, crime rates or infectious diseases tend to be spatially correlated. Spatial econometrics has developed to include techniques and methods to model the spatial characteristics of such data, by taking into account both spillover effects and spatial heterogeneit","nie ","nie ","nie "]
["TS036","Tstat","LINEAR PANEL DATA MODELS IN STATA","Online",2,1,"3.11.2022/10.11.2022","4.11.2022/11.11.2022","1420 EUR","2022-10-24","https://www.tstattraining.eu/training/linear-panel-data-models-stata-a-ol/","Panel data analysis is increasingly used in econometrics, financial analysis, public health, political and social sciences, since it enable researchers to allow for different types of latent heterogeneity between observations. Allowing researchers for example, to control for variables that cannot be directly observed or measured, such as cultural factors or differences in business practices across companies. The use of Panel Data in empirical studies also tends to result in a considerable improvement in the accuracy of the obtained estimates, since panel data sets usually contain more sample variability and higher degrees of freedom. Finally, panel data allows for the estimation of dynamic models, with causal relationships which may not arise instantaneously, but over a period of time.","nie ","nie ","nie "]
["TS037","Tstat","DYNAMIC PANEL DATA ANALYSIS","Online",3,1,"5.12.2022/12.12.2022","7.12.2022/13.12.2022","1775 EUR","2022-11-25","https://www.tstattraining.eu/training/dynamic-panel-data-analysis-ol/","Dynamic panel data analysis has become increasingly popular in a wide range of fields, due to its ability to take into account both: i) short and long term effects and; ii)unobserved heterogeneity between economic agents in the estimation of the parameter estimates.","nie ","nie ","nie "]
["EP001","European Statistical Training Programme","Big Data tools for advanced users","Hague",3,3,"2022-11-15","2022-11-17",null,"2022-09-19","https://ec.europa.eu/eurostat/cros/content/big-data-tools-advanced-users-2nd-edition-2022_en","IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.","nie ","nie ","áno"]
["CM018","Cemmap","Remote Program Evaluation Methods Course","Online",3,3,"2022-11-28","2022-11-30","924 GBP",null,"https://www.cemmap.ac.uk/event/remote-program-evaluation-methods-course/","The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).\n\nThe lectures present the material at different levels to cater for different backgrounds (e.g. intuition, optional formal derivations, in-depth discussion, examples), while the live classes, after a quick summary of each topic, are devoted to answering questions, as well as to implementing each evaluation method hands-on on real data in guided practicals.","nie ","nie ","áno"]
["CM019","Cemmap","Remote Program Evaluation Methods Course","Online",3,2,"2023-01-30","2023-02-01",null,null,"https://www.cemmap.ac.uk/event/remote-program-evaluation-methods-course-2/","The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).\n\nThe lectures present the material at different levels to cater for different backgrounds (e.g. intuition, optional formal derivations, in-depth discussion, examples), while the live classes, after a quick summary of each topic, are devoted to answering questions, as well as to implementing each evaluation method hands-on on real data in guided practicals.","nie ","nie ","nie "]
["EC346","European Consortium for Political Research (ECPR)","Winter School","Belgicko",6,5,"2023-02-06","2023-02-11","1127 EUR",null,"https://ecpr.eu/WinterSchool","After a successful virtual instalment in 2022, we hope to bring together students and early-career scholars face-to-face again for a jam-packed week of expertly delivered methods training, held in association with KU Leuven. \n\nWhat we offer\nExpertly delivered courses\nYour very own digital learning environment\nOpportunities to discuss your project with your Instructor\nPre-recorded content\nCredits and certification","nie ","nie ","nie "]
["ED010","European Security and Defence College","ESDC- Pentester Tools-Basic Course","Warsaw",2,3,"2022-10-18","2022-10-20",null,null,"https://esdc.europa.eu/enlistapi/Invitation%20Letter%20Pentester%20Tools%20Basic%20Course%20final%20CST%20CoE(1).pdf","The Cyber Security Training Centre of Excellence (CST CoE) under the auspices of the European Security and Defence College (ESDC) is organising the residential course, specialized at tactical-technical levels, from 18 to 20 October 2022 in Warsaw, Poland. Newly emerged, rapidly developing and massively striking cyber threats have impacted all the business areas and domains having theirs processes supported by Information and Communication Technologies (ICTs). Vulnerabilities of IT solutions leaves the gates of  organizations widely open for cyber criminals who are looking forward to get an access to the IT resources, seize sensitive information, disrupt services or obtain unauthorised rights. Consequently, due to high risk and considerable damages, cyber security and its assurance has been recognized as a pivotal objective and one of the corner stones for modern world stability. ","nie ","nie ","nie "]
["CO001","Collaboration in Research and Methodology for Official Statistics","10th International Conference on the Use of R in Official Statistics","Online",3,2,"2022-12-06","2022-12-08",null,null,"https://ec.europa.eu/eurostat/cros/content/10th-international-conference-use-r-official-statistics_en","Statistics Canada is pleased to announce that it will host the 10th International Conference on the Use of R in Official Statistics – uRos2022 December 6 to 8, 2022. In partnership with the Romanian National Institute Statistics, Statistics Netherlands and Statistics Austria, this virtual scientific conference will provide a forum for researchers and analysts from across academia and national statistical offices to present their work, exchange ideas and participate in discussions and tutorials on the use of R in official statistics.","nie ","nie ","nie "]
["ES039","Eurostat","Global Conference on Macroenomic Statistics for the Future","Brussels",2,1,"2022-11-10","2022-11-11",null,null,"https://www.statistics4future.eu/","Eurostat and the United Nations Statistics Division are organizing a global conference on “Macroeconomic Statistics for the Future”, which will take place on 10-11 November 2022 at the Palais d’Egmont in Brussels.\n\nThe event is held on the occasion of the ongoing update of the 2008 SNA and BPM6, and their planned adoption in 2025. Priority areas of discussion will be:\nSustainability and Beyond GDP, Digitalisation, Globalisation and Communication.\n\nThe conference is expected to bring together around 250 high-profile participants from all the regions of the world, including politicians, public officials working in policy development, national accounts compilers and academics.","nie ","nie ","nie "]
["IP071","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","ONLINE/BRNO",3,2,"2022-10-05","2022-10-07","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","nie ","nie ","nie "]
["IP072","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","ONLINE/BRNO",3,2,"2022-11-30","2022-12-02","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","nie ","nie ","nie "]
["IP075","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","ONLINE/BRNO",3,3,"2022-01-25","2022-01-27","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","nie ","nie ","nie "]
["IP073","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","ONLINE/Praha",3,2,"2022-11-14","2022-11-16","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","nie ","nie ","nie "]
["IP074","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","ONLINE/Praha",3,2,"2022-11-21","2022-11-23","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","nie ","nie ","nie "]
["IP076","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","ONLINE/Praha",3,2,"2022-12-14","2022-12-16","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat.\n\nPřihlaste se na praktický workshop, ve kterém si vyzkoušíte práci s tímto programovacím jazykem v příkazové řádce i v textovém editoru. Naučte se psát přehledný a srozumitelný kód. Připravte si vlastní dotazy a témata.","nie ","nie ","nie "]
["IE006","IEA","23rd Energy Statistics Course","Paris",3,3,"2022-10-25","2022-10-27",null,null,"https://www.iea.org/events/23rd-energy-statistics-course","The 23rd Energy Statistics Course from the IEA, will take place in a virtual format on 25-27 March 2022.\n\nThe registration for this course will take place by invitation only. Deadline for applications is October 10, 2022.\n\nThis free course offers training in the internationally recognised IEA methodology and tools for collecting and organising national-level energy data by different fuels and sectors of the economy. It focuses on creating complete and accurate energy balances through the use of consistent definitions and units, in order to inform national energy policy and enable consistent international reporting.","nie ","nie ","nie "]
["JC208","Jacobs, Cordova and Associates","Online Applied Regulatory Impact Assessment (RIA) Training for Professionals","Onine/self-paced",10,10,"Self-paced","Self-paced","1500 EUR",null,"https://regulatoryreform.com/ria-training/","n 2022,JC&A will offer our popular Applied Regulatory Impact Assessment (RIA) course online for the first time, in partnership with LUISS University in Rome. This Applied RIA course includes 20 hours of class time and the certificate of completion from LUISS University. This online course replaces the one-week course we have taught for 16 years with LUISS and the College of Europe.  JC&A has taught more RIA courses in more countries than anyone else. We teach applied RIA – RIA in the kitchen – as professionals actually do it. We use cases, interactive sessions, and exams to be sure that participants understand concepts and practice. Our current RIA courses are offered in ENGLISH with LUISS University. We also offer customized courses that are presented in your location for individual agencies or governments. Get more information and register below.","nie ","nie ","nie "]
["TI353","Timberlake Consultants","Risk Modelling Workshop with Eviews","Online",2,1,"2022-10-13","2022-10-14","450 GBP",null,"https://www.timberlake.co.uk/courses/risk-modelling-workshop-eviews.html#prices","Risk modelling is about modelling and quantification of risk. For the financial industry, the cases of credit risk quantifying potential losses due, e.g., to the bankruptcy of debtors, or market risks quantifying potential losses due to negative fluctuations of a portfolio's market value are of particular relevance.\n\nThe aim of this course is to offer a comprehensive introduction to risk modelling and forecasting with EViews 13. The course offers one introductory day on risk modelling and forecasting via parametric methods and then builds on it to discuss the econometrics methods for stress testing, Value at Risk and fundamental measures of risk.\n\nThe course targets researchers, practitioners and policymakers who are interested in gaining an in-depth knowledge of risk modelling and forecasting techniques and learning how to use them in their current research.\n\nEach session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. The sessions are hands-on with many practical examples of risk models and evaluation tools. Specific attention is dedicated to risk forecasting.\n\nBy the end of the two-day online course, participants should be able to model and forecast risk with EViews 13 proficiently.","nie ","nie ","nie "]
["TI354","Timberlake Consultants","Econometrics of Program Evaluation Using Stata","Online",2,1,"2022-10-24","2022-10-25","450 GBP",null,"https://www.timberlake.co.uk/courses/econometrics-program-evaluation-oct22.html#overview","This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.\n\nAfter attending the course, the participant will be able to set up and manage a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labour market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc. Although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets.","nie ","nie ","nie "]
["TS038","Tstat","PARAMETRIC AND NONPARAMETRIC PRODUCTION FRONTIER MODELS IN STATA","Online ",2,1,"2022-11-17","2022-11-18","1420 EUR",null,"https://www.tstattraining.eu/training/parametric-nonparametric-frontier-models-stata-ol/","Production frontier models have over the years become an indispensable tool of analysis for both scholars and practitioners interested in the measurement of performances through efficiency scores, in academia, business and government. This course provides participants with both the knowledge and requisite applied toolset for applying frontier methods to crosssection and panel data in Stata.\n\nThe course begins by focusing on stochastic frontier models – parametric models implemented in Stata using the frontier and xtfrontier commands for cross section and panel data respectively. Participants are also introduced to the user-written commands sfkk (Karakaplan, 2017), sfcross and sfpanel (Belotti et al., 2013).\n\nThe remaining sessions focus on the non-parametric approach to frontier models, referred to in the literature as data envelopment analysis (DEA). Session 2 centers on radial and non-radial efficiency measures, along with the derived concepts of scale efficiency and the Malmquist productivity index (Färe et al., 1994), using the user written commands teradial and tenonradial (Badunenko and Mozharovskyi, 2016). Session 3 illustrates the concept of bootstrap inference for radial measures as developed by Simar and Wilson (1998) and (2000), along with bootstrap tests of independence (Wilson 2003) and returns to scale (Simar and Wilson, 2002). These procedures are implemented in Stata by nptestind, nptestrts and teradialbc (Badunenko and Mozharovskyi, 2016). The course closes with a discussion of the user written command simarwilson, a procedure which implements the Simar and Wilson (2007) approach to identify the impact of external factors on DEA efficiency scores (Badunenko and Tauchmann, 2019).\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an extensive applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.\n\nAt the end of the course, participants are expected to be able to: i) autonomously implement (with the help of the Stata routine templates specifically developed for the course) the appropriate methodology, given both the nature of their data and the analysis in hand, and ii) to have mastered the concepts of: stochastic, parametric and non-parametric frontier model analysis.","nie ","nie ","nie "]
["TS039","Tstat","PARAMETRIC AND NONPARAMETRIC PRODUCTION FRONTIER MODELS IN STATA","Online ",2,1,"2022-11-24","2022-11-25","1420 EUR",null,"https://www.tstattraining.eu/training/parametric-nonparametric-frontier-models-stata-ol/","Production frontier models have over the years become an indispensable tool of analysis for both scholars and practitioners interested in the measurement of performances through efficiency scores, in academia, business and government. This course provides participants with both the knowledge and requisite applied toolset for applying frontier methods to crosssection and panel data in Stata.\n\nThe course begins by focusing on stochastic frontier models – parametric models implemented in Stata using the frontier and xtfrontier commands for cross section and panel data respectively. Participants are also introduced to the user-written commands sfkk (Karakaplan, 2017), sfcross and sfpanel (Belotti et al., 2013).\n\nThe remaining sessions focus on the non-parametric approach to frontier models, referred to in the literature as data envelopment analysis (DEA). Session 2 centers on radial and non-radial efficiency measures, along with the derived concepts of scale efficiency and the Malmquist productivity index (Färe et al., 1994), using the user written commands teradial and tenonradial (Badunenko and Mozharovskyi, 2016). Session 3 illustrates the concept of bootstrap inference for radial measures as developed by Simar and Wilson (1998) and (2000), along with bootstrap tests of independence (Wilson 2003) and returns to scale (Simar and Wilson, 2002). These procedures are implemented in Stata by nptestind, nptestrts and teradialbc (Badunenko and Mozharovskyi, 2016). The course closes with a discussion of the user written command simarwilson, a procedure which implements the Simar and Wilson (2007) approach to identify the impact of external factors on DEA efficiency scores (Badunenko and Tauchmann, 2019).\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an extensive applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.\n\nAt the end of the course, participants are expected to be able to: i) autonomously implement (with the help of the Stata routine templates specifically developed for the course) the appropriate methodology, given both the nature of their data and the analysis in hand, and ii) to have mastered the concepts of: stochastic, parametric and non-parametric frontier model analysis.","nie ","nie ","nie "]
["TS040","Tstat","ANALYSING MICRO DATA IN STATA","Online ",2,1,"2022-10-10","2022-10-12","2125 EUR",null,"https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, data which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health.\n\nTStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding session focuses on the Control Function approach for the estimation of non-linear models with endogenous continuous variables.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course.","nie ","nie ","nie "]
["TS041","Tstat","ANALYSING MICRO DATA IN STATA","Online ",2,1,"2022-11-17","2022-11-19","2125 EUR",null,"https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","TStat’s Analysing Micro Data in Stata course offers participants a comprehensive introduction to the principle methodologies used in the analysis of micro data. Micro data, data which contains information at the level of a specific unit (such as individuals, firms or entities), has by its very nature become an increasingly important source of information offering researchers and policy makers an effective tool with which to obtain a more in-depth understanding of an array of political, socio-economic and public health phenomena. As such the collection and subsequent analysis of micro data over recent years has proved to be the key to policy formulation, the targeting of interventions and the subsequent monitoring and measurement of the impact of such interventions and policies. Whilst these techniques have been traditionally more applied in the field of economics, the increasing availability of micro data has over recent years resulted in a steady increase in the analysis of micro data by researchers working in Political and Social Sciences, Biostatistics, Epidemiology and Public health.\n\nTStat’s introduction to micro data analysis course focuses from both a theoretical and applied point of view, on the following methodologies: count models, binary dependent variable models, multinomial models, Tobit and Interval Regression models, models with treatment variables and models with Sample Selection. The concluding session focuses on the Control Function approach for the estimation of non-linear models with endogenous continuous variables.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course.","nie ","nie ","nie "]
["TS043","Tstat","LINEAR PANEL DATA MODELS IN STATA","Online ",2,1,"2022-11-03","2022-11-04","1420 EUR",null,"https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","Panel data analysis is increasingly used in econometrics, financial analysis, public health, political and social sciences, since it enable researchers to allow for different types of latent heterogeneity between observations. Allowing researchers for example, to control for variables that cannot be directly observed or measured, such as cultural factors or differences in business practices across companies. The use of Panel Data in empirical studies also tends to result in a considerable improvement in the accuracy of the obtained estimates, since panel data sets usually contain more sample variability and higher degrees of freedom. Finally, panel data allows for the estimation of dynamic models, with causal relationships which may not arise instantaneously, but over a period of time.\n\nThis introductory course offers participants the opportunity to acquire the necessary theoretical background and the applied skills to enable them to: i) independently employ micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature.\n\nThis course focuses on the linear model techniques adopted for the analysis of a typical micro panel-data set with a large number of individuals and a small number of time periods. Such techniques include: fixed and random effects models; robust inference and instrumental-variables estimators.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course.","nie ","nie ","nie "]
["TS044","Tstat","LINEAR PANEL DATA MODELS IN STATA","Online ",2,1,"2022-11-10","2022-11-11","1420 EUR",null,"https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","Panel data analysis is increasingly used in econometrics, financial analysis, public health, political and social sciences, since it enable researchers to allow for different types of latent heterogeneity between observations. Allowing researchers for example, to control for variables that cannot be directly observed or measured, such as cultural factors or differences in business practices across companies. The use of Panel Data in empirical studies also tends to result in a considerable improvement in the accuracy of the obtained estimates, since panel data sets usually contain more sample variability and higher degrees of freedom. Finally, panel data allows for the estimation of dynamic models, with causal relationships which may not arise instantaneously, but over a period of time.\n\nThis introductory course offers participants the opportunity to acquire the necessary theoretical background and the applied skills to enable them to: i) independently employ micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature.\n\nThis course focuses on the linear model techniques adopted for the analysis of a typical micro panel-data set with a large number of individuals and a small number of time periods. Such techniques include: fixed and random effects models; robust inference and instrumental-variables estimators.\n\nIn common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course.","nie ","nie ","nie "]
["BS003","Behörden Spiegel","WEBINAR: Design Thinking in Behörden – Grundlagen, Einführung und Vertiefung mit Praxisanteil","Online ",2,2,"2022-10-19","2022-10-20","799 EUR",null,"https://www.fuehrungskraefte-forum.de/detail.jsp?v_id=8934","Design Thinking ist eine neue Methode, die bereits von vielen Unternehmen angewandt wird, um bei komplexen Problemen schnell zu innovativen Lösungen zu kommen, und zwar spielerisch, lösungsoffen, adressatenorientiert. In der öffentlichen Verwaltung kann Design Thinking z.B. bei der Strategieentwicklung, der Weiterentwicklung von Dienstleistungen oder zur Einführung von Organisationsentwicklungsprozessen eingesetzt werden. Die Methode ermöglicht die aktive Einbindung aller Beteiligten und damit einhergehend eine hohe Umsetzungsorientierung und Akzeptanz für Neuerungen. Design Thinking Prozesse richten sich eng an den Bedürfnissen späterer Nutzer, wissenschaftlicher Expertise sowie dem aktuellen Stand der Informationstechnik aus, um erfolgreiche Innovationen zu entwickeln.","Kurz prebieha v nemčine.","nie ","nie "]
["BS005","Behörden Spiegel","RÄSENZ: Strategische Haushaltskonsolidierung – mehr als nur Sparen","Berlin",2,1,"2022-11-23","2022-11-24","990 EUR",null,"https://www.fuehrungskraefte-forum.de/detail.jsp?v_id=7927","Nach einer Dekade die oft durch Spielräume gekennzeichnet war zeigen sich die Folgen der Pandemie in den Haushalten. Das Auseinanderdriften von besser ausgestatteten und ärmeren Körperschaften, deren Entschuldung sowie das Risiko einer Zinswende stellen drängende Fragen.\nIm Seminar wird die Haushaltskonsolidierung als grundsätzliche, langfristige Führungsaufgabe der Verwaltung und Politik verstanden. Das Seminar wendet sich an Mitarbeiter:innen und Verantwortliche, unabhängig der föderalen Ebene.\nDie Veranstaltung ist als „Flipped learning\" organisiert (Studium und Anwendung bereits vor Seminar), was es ermöglicht, im Seminar viel Raum für Austausch zu geben, weshalb die Anzahl der Teilnehmer auf zehn begrenzt ist: Ziel ist ein intensiver Austausch und eine Reflexion der Ansätze vor dem Hintergrund der Rahmenbedingungen vor Ort.","Kurz prebieha v nemčine.","nie ","nie "]
["BS006","Behörden Spiegel","WEBINAR: Digitalisierungsstrategien für Behörden","Berlin",1,1,"2023-02-06","2023-02-06","198 EUR",null,"https://www.fuehrungskraefte-forum.de/detail.jsp?v_id=9268","Die Notwendigkeit der Digitalisierung ist nun allen klar! Digitalisierung soll nun schnell, nachhaltig und sozialverträglich umgesetzt werden, und natürlich koordiniert und den individuellen Anforderungen entsprechend für die jeweilige Verwaltung! Jedoch wissen die wenigsten, wie sie das Thema strategisch angehen können. Eine \"Fehlende übergeordnete Digitalisierungsstrategie\" ist der zweithäufigste Grund für das Scheitern von Digitalisierungsprojekten.\nIm Webinar lernen die Teilnehmenden wie sie mit einer ganzheitlichen übergeordneten Strategie zur erfolgreichen gesamtorganisatorischen Umsetzung der Digitalisierung in ihrer Organisation/Institution beitragen können. Neben Anforderungen zeigt die Fortbildung Tipps und Tools, aber auch Stolperfallen auf. Mit Praxisbeispielen wird die Thematik greifbar und die Motivation für die Umsetzung steigt. Die Teilnehmenden werden sehen, dass Digitalisierung neben Prozessänderungen auch ein gemeinsames Digitales-Mindset benötigt und wie dies entstehen wird.","Kurz prebieha v nemčine.","nie ","nie "]
["CM020","Cemmap","Remote Program Evaluation Methods Course","Online",3,2,"2022-11-28","2022-11-30","924 GBP",null,"https://www.cemmap.ac.uk/event/remote-program-evaluation-methods-course/","The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).\n\nThe lectures present the material at different levels to cater for different backgrounds (e.g. intuition, optional formal derivations, in-depth discussion, examples), while the live classes, after a quick summary of each topic, are devoted to answering questions, as well as to implementing each evaluation method hands-on on real data in guided practicals.","nie ","nie ","nie "]
["ED012","European Security and Defence College","European Armaments Co-operation (EAC) Course\nEAC Awareness Level\n","Brussels",3,2,"2022-10-24","2022-10-26",null,null,"https://esdc.europa.eu/enlistapi/Invitation%20Letter_EACC%202022_EXP_(14%20July%202022).pdf","The aim of the European Armament Cooperation (EAC) Course is to enhance mutual\nunderstanding in armament cooperation by critical analysis of the armaments sector; identifying\nthe frameworks, stakeholder’s tools and processes, understanding the challenges at stake and\nbenefits at EU level. The Course will deliver commonly educated EAC managers who are able to\nparticipate efficiently in international armament cooperation projects, predominantly in the CSDPcontext.\nThe course is aimed at personnel working in related posts to national and international armament\ncooperation, who need to gain knowledge and experience in multilateral project management and\nacquisition processes. In addition, the course supports experts, able to perform in future\nleadership positions in the wider defence area.","nie ","nie","nie "]
["CD012","European Security and Defence College","EAC Expert Level ","Amsterdam and Den Helder",null,null,"2022-11-21","2022-11-25",null,null,"https://esdc.europa.eu/enlistapi/Invitation%20Letter_EACC%202022_EXP_(14%20July%202022).pdf","The aim of the European Armament Cooperation (EAC) Course is to enhance mutual understanding in armament cooperation by critical analysis of the armaments sector; identifying the frameworks, stakeholder’s tools and processes, understanding the challenges at stake and benefits at EU level. The Course will deliver commonly educated EAC managers who are able to participate efficiently in international armament cooperation projects, predominantly in the CSDPcontext. The course is aimed at personnel working in related posts to national and international armament cooperation, who need to gain knowledge and experience in multilateral project management and acquisition processes. In addition, the course supports experts, able to perform in future leadership positions in the wider defence area.","nie ","nie","nie "]
["ES001","European Statistical Advisory Committee (ESAC), EUROSTAT, European Central Bank (ECB), Federation of European National Statistical Societies (FENStatS).","Conference of European Statistics Stakeholders","Rím",2,1,"2022-10-20","2022-10-21",null,"2022-09-30","https://cess2022.dss.uniroma1.it/event/3/registrations/1/","The scope of the Conference is to enhance the dialogue between European methodologists, producers, and users of European Statistics identifying the requirements of the users (ESAC), the best practices of the production (EUROSTAT, ECB, ISTAT, Banca d’Italia), with innovative ways of official statistics production based on Statistics, Data Science and Artificial Intelligence, and based on new methodological ideas for collecting and analysing data (Accademia via FENStatS).","nie ","nie","nie "]
["ES040","Eurostat","Big Data tools for advanced users","The Hague",3,2,"2022-11-15","2022-11-17",null,"2022-09-19","https://ec.europa.eu/eurostat/cros/content/big-data-tools-advanced-users-2nd-edition-2022_en","Participants will have a broad overview of modern state of the art techniques for managing and analyzing big data, its tools and infrastructure.","nie ","nie","nie "]
["ES041","Eurostat","Privately Held Data – Tools and Techniques","Kolín/ Nemecko",5,4,"2022-11-21","2022-11-25",null,"2022-09-26","https://ec.europa.eu/eurostat/cros/content/privately-held-data-%E2%80%93-tools-and-techniques-2nd-edition-2022_en","The participants will understand the current data landscape and undertakings of the European data and digital strategies. They will know the techniques and tools involved in the stages of a data processing pipeline, from privately held data access to data valorization. Participants will have witnessed how artificial intelligence, blockchain and storage infrastructure benefit data management and have acquired hands-on experience (either through active coding or passive understanding of the provided solutions) with privately held data on the Twitter and Airbnb platforms, via APIs and webscraping techniques.","nie ","nie ","nie "]
["ES042","Eurostat","From annual to quarterly to monthly data: introduction to temporal disaggregation and benchmarking",null,3,2,"2022-12-05","2022-12-07",null,"2022-10-10","https://ec.europa.eu/eurostat/cros/content/annual-quarterly-monthly-data-introduction-temporal-disaggregation-and-benchmarking-2022_en","Expected outcome: Being able to produced high frequency data (quarterly/monthly) consistent with the respective low frequency data (annual/quarterly).\nContents:\nFlow, index and stock series\nDeriving high frequency data with and without proxies\nTemporal and Accounting constraints\nTheory and practice of temporal disaggregation and data reconciliation:\nThe univariate case (main field of application: Quarterly National Accounts)\nbenchmarking and temporal disaggregation by related series of a temporally constrained time series;\ntwo-step adjustment and optimal regression based techniques: Denton's benchmarking, Chow-Lin, Fernández, Litterman.\nThe statistical reconciliation of systems of time series (main field of application: Quarterly National Accounts, Labour Force, Industrial Production Indices)\npractice using JDemetra+ plug-ins.","nie ","nie ","nie "]
["ES043","Eurostat","Basics for the use of Python in Official Statistics","Kolín/ Nemecko",5,4,"2022-12-12","2022-12-16",null,"2022-10-17","https://ec.europa.eu/eurostat/cros/content/basics-use-python-official-statistics-%E2%80%93-3rd-edition-2022_en","The participants should have a good understanding of Python language basics and its ecosystem in order to proficiently use it for Official Statistics purposes.\n\nFamiliarity with the syntax of Python\n\nKnowledge about the individual aspects of a data processing pipeline: reading a file, processing data,  modelling, aggregation, visualization and saving results.\n\nExperience with creation, manipulation and conversion of common data structures\n\nExperience with writing functions and using (pre-existent) functions\n\nBasic knowledge of important packages like Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Geopandas","nie ","nie ","nie "]
["SA001","Stata","Writing Your Own Stata Commands","Online","5 týždňov","5 týždňov","2022-09-30","2022-11-18","195 USD",null,"https://www.stata.com/netcourse/schedules/","Learn how to create and debug your own commands that are indistinguishable from the commands in Stata. You will be able to parse both standard and nonstandard Stata syntax using the intuitive syntax command, to manage and process saved results, to post your own saved results, to process by-groups, to create data management commands, to program your own maximum-likelihood estimator, and more. In short, learn to create commands that act just like the commands that ship with Stata.\n\n","nie ","nie ","nie "]
["SA002","Stata"," Univariate Time Series with Stata","Online","7 týždňov","7 týždňov","2022-09-30","2022-11-18","295 USD",null,"https://www.stata.com/netcourse/schedules/#nc471","Learn about univariate time-series analysis with an emphasis on the practical aspects most needed by practitioners and applied researchers. Written for a broad array of users, including economists, forecasters, financial analysts, managers, and anyone who wants to analyze time-series data. Become expert in handling date and date–time data, time-series operators, time-series graphics, basic forecasting methods, ARIMA, ARMAX, and seasonal models.\n\nWe provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.","nie ","nie ","nie "]
["SA003","Stata","Introduction to Panel Data Using Stata","Online","6 týždňov","6 týždňov","2022-09-30","2022-11-11","295 USD",null,"https://www.stata.com/netcourse/schedules/","Learn about univariate time-series analysis with an emphasis on the practical aspects most needed by practitioners and applied researchers. Written for a broad array of users, including economists, forecasters, financial analysts, managers, and anyone who wants to analyze time-series data. Become expert in handling date and date–time data, time-series operators, time-series graphics, basic forecasting methods, ARIMA, ARMAX, and seasonal models.\n\nWe provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.","nie ","nie ","nie "]
["SA004","Stata"," Introduction to Survival Analysis Using Stata","Online","7 týždňov","7 týždňov","2022-09-30","2022-11-18","295 USD",null,"https://www.stata.com/netcourse/schedules/#nc631","Course content of NetCourse 101 or equivalent knowledge.\nFamiliarity with basic cross-sectional summary statistics and linear regression.\nInternet web browser, installed and working.","nie ","nie ","nie "]
["TI355","Timberlake Consultants","An Introduction to Machine Learning using Stata - Co-Developed with Lancaster University","Online",2,1,"2022-11-17","2022-11-18","450 GBP",null,"https://www.timberlake.co.uk/courses/introduction-machine-learning-stata-22.html#prices","Recent years have witnessed an unprecedented availability of information on social, economic, and health-related phenomena. Researchers, practitioners, and policymakers now have access to huge datasets (so-called “Big Data”) on people, companies and institutions, web and mobile devices, satellites, etc., at increasing speed and detail.\n\nMachine learning is a relatively new approach to data analytics, which places itself in the intersection between statistics, computer science, and artificial intelligence. Its primary objective is to turn information into knowledge and value by “letting the data speak”. Machine learning limits prior assumptions on data structure, and relies on a model-free philosophy supporting algorithm development, computational procedures, and graphical inspection more than tight assumptions, algebraic development and analytical solutions. Computationally unfeasible a few years ago, machine learning is a product of the computer’s era, of today machines’.\n\nToday, various machine learning packages are available within Stata, but some of these are not known to all Stata users. This course fills this gap by making participants familiar with Stata's potential to draw knowledge and value from rows of large and possibly noisy data. The teaching approach will be based on graphical language and intuition more than on algebra. The sessions will make use of instructional as well as real-world examples and will balance theory and practical sessions evenly.\n\nAfter the course, participants are expected to have an improved understanding of Stata's potential to perform machine learning, becoming able to master research tasks including, among others:\n\nfactor-importance detection,\nsignal-from-noise extraction,\ncorrect model specification,\nmodel-free classification, both from a data-mining and a causal perspective.\nThis course is a primer to any more advanced machine learning courses within Stata.","nie ","nie ","nie "]
["TI356","Timberlake Consultants","Advanced Machine Learning using Stata - Co-Developed with Lancaster University","Online",2,1,"2022-11-28","2022-11-29","450 GBP",null,"https://www.timberlake.co.uk/courses/advanced-machine-learning-stata-2022.html#prices","No prior knowledge of machine learning techniques is required to attend this course, as the first session will start from scratch with a fresh introduction to the subject. This course will focus on three specific techniques not covered in the first part of the course, that is: regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions).\n\nThe teaching approach will be based mainly on graphical language and intuition more than on algebra. The training will use instructional and real-world examples and will evenly balance theory and practical sessions.\n\nAfter the course, participants are expected to have an improved understanding of Stata's potential to perform some of the most used machine learning techniques, thus becoming able to master research tasks including:\n\n(i) factor-importance detection,\n(ii) signal-from-noise extraction,\n(iii) model-free regression and classification, both from a data-mining and a causal perspective.\nThe course is open to people from all scientific fields, but it is mainly targeted at researchers working in the medical, epidemiological and socio-economic sciences.","nie ","nie ","nie "]
["TS045","Tstat","TIME SERIES MODELLING AND FORECASTING USING STATA","Online ",2,1,"2022-12-19","2022-12-20","670 EUR","2022-12-09","https://www.tstattraining.eu/training/analysing-micro-data-stata-a-ol/","Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of our is therefore to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the programm has been developed to offers an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series.\n\nIn common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises with Stata. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. At the end of the course, participants are expected to be able to autonomously implement the methods discussed in the course.","nie ","nie ","nie "]
["TS046","Tstat","MAXIMISING THE POTENTIAL OF STATA’S NEW PYTHON CAPABILITIES","Online ",2,1,"2022-11-07","2022-11-08","630 EUR","2022-10-28","https://www.tstattraining.eu/training/maximising_potential_stata_python-ol/","TStat’s “Maximising the Potential of Stata’s New Python Capabilities” course offers participants an excellent opportunity to acquire the introductory programming skills required to integrate Python’s capability into Stata 17. The course opens with an introductory session focusing on the Python programming basics required by users wishing to exploit the Stata – Python connectivity, before moving on to illustrate how to use Python in a Stata environment and the vice versa. In the closing session a series of practical applications will be discussed in order to highlight WHEN and HOW one should exploit the connectivity between Python and Stata for one’s research.\n\nAt the end of the course, participants are expected to be able, with the aid of the Stata routines implemented during the sessions, to independently implement the methodologies and techniques illustrated during the course by adopting the Stata routines to their own particular research needs.\n\nIn common with TStat’s training philosophy, each session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained) and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced using applied case studies, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques.","nie ","nie ","nie "]
["TS047","Tstat","AUTOMATING YOUR RESEARCH IN STATA: “A LITTLE BIT OF PROGRAMMING GOES AN AWFULLY LONG WAY!”","Online ",3,2,"2023-02-03","2023-02-07","1400 EUR",null,"https://www.tstattraining.eu/training/automating-your-research-stata-ol/","This course aims to provide participants with the fundamental Stata programming toolkit in order to facilitate, automate, replicate and personalize both data analysis, management and presentation. As such, session 1 reviews some general Stata commands, illustrating how they can be combined with some powerful Stata programming constructs for looping and branching. The course then moves on to focus on how the programming concepts of Macros, Loops, and Branching, can be implemented to effectively write, modify and develop do files (user written Stata programs).\n\nIn common with TStat’s course philosophy, each session is composed of both a theoretical component (in which the programming techniques are fully explained via a series of course specific developed examples), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques under the watchful eye of the course tutor.\n\nAt the end of the course, it is expected that participants are able to personalize existing Stata commands and develop their own do files in order to organize their workload in a more automated, efficient, flexible and reproducible manner.","nie ","nie ","nie "]
["CE190","Center of Excellence in Finance","Monetary Policy Implementation in the Eurosystem","Online ",1,1,"2022-09-27","2022-09-27",null,"2022-09-26","https://www.cef-see.org/22-cb08","This initiative aims to bring closer the Eurosystem's monetary policy operational framework. We will talk about the use of different monetary policy instruments, standard and non-standard measures and their effects on the central bank's balance sheet and liquidity conditions. This webinar will provide an opportunity to share the experience of selected national central banks in their local implementations.\n\nThe webinar will place the monetary policy operations in the context of broader monetary policy strategy, emphasizing the link between the policy formulation and its implementation. It will focus on the monetary policy instruments. Particular attention will be devoted to the current measure and the ECB assessing the appropriate monetary policy stance. The core of the webinar will be a discussion around actual challenges that may have an implication on the monetary policy.\n\nThe participants will be able to learn and discuss about the following:\n\nOverview of  Eurosystem monetary policy implementation,\nStrategy review,\nStandard and non-standard monetary policy instruments,\nCounterparty & Collateral frameworks,\nEurosystem's balance sheet and liquidity conditions,\nLessons learned in recent years and\nFuture challenges (climate change risk, risk of higher inflation, etc.).","kurz je 3.2.;6.2.;7.2.","nie ","nie "]
["LO323","London School of Economics and Political Science (LSE)","Data Science: Text Analysis Using R","Online ","8 týždňov","8 týždňov","2022-10-12",null,"2075 EUR","2022-10-04","https://www.getsmarter.com/products/lse-data-science-text-analysis-using-r-online-certificate-course","This is a technical course using R programming language, best suited to individuals with data or analytical proficiency. The skills and insights available to participants will have broad applicability and appeal across a range of industries and sectors. Existing data science and analytics professionals, including data analysts, software engineers, application developers, and computer scientists, will enhance their understanding of text mining, validate their skills in R, and gain the knowledge to stay ahead of the latest innovations in this field. Businesses, systems, and research analysts who work with reviews, transcripts, reports, articles, and social media on a daily basis will improve the efficiency and accuracy of their data analysis. IT technicians and systems analysts will expand their ability to effectively work with large volumes of organisational data in relation to information databases. Additionally, data-driven managers of teams in areas such as marketing, sales, operations, and project management will benefit from an improved understanding of text analysis.","úlohy","nie ","nie "]
["LO324","London School of Economics and Political Science (LSE)","Data Analysis for Management Online Certificate Course","Online ","8 týždňov","8 týždňov","2022-10-12",null,"1729 EUR","2022-10-04","https://www.getsmarter.com/products/lse-data-analysis-for-management-online-certificate-course","This LSE course will equip managers and analysts in a variety of industries with the skills to make data-driven decisions. Marketing and sales analysts will gain the ability to extract and interpret key business insights for competitive advantage. Similarly, finance, HR, and business analysts will develop data analysis skills that can be directly applied in their role and organisation. There are no formal prerequisites for this course, but some numerical literacy is advantageous, as well as a basic working knowledge of Microsoft Excel. ","úlohy","nie ","nie "]
["DB001","Deutsche Bundesbank Eurosystem","Data sharing","Online ",5,4,"2022-10-10","2022-10-14",null,"2022-09-23","https://www.bundesbank.de/en/bundesbank/international-central-bank-dialogue/international-central-banking-courses-/data-sharing-767924","This course is aimed at economists and statisticians who work in the area of micro data or intend to start working with micro data or want to open their micro data to external researchers. There are no prerequisites for participation except for a basic academic knowledge of statistics and economics. After completing this course, participants are allowed to attend the Big Data at central banks expert panel.\n\n","úlohy","nie ","nie "]
["DB002","Deutsche Bundesbank Eurosystem","Machine learning, artificial intelligence and big data – the perspective of central banks","Online ",3,2,"2022-11-08","2022-11-10",null,"2022-09-23","https://www.bundesbank.de/en/bundesbank/international-central-bank-dialogue/international-central-banking-courses-/machine-learning-artificial-intelligence-and-big-data-the-perspective-of-central-banks-890546","The expert panel is aimed at central bankers as well as regulators and supervisors with an interest in helping develop best practices in big data mining and management. Participants will be expected to make an active contribution to the discussions and will be invited to present and discuss current issues in machine learning, artificial intelligence and big data in their own jurisdiction.","nie ","nie ","nie "]
["DB003","Deutsche Bundesbank Eurosystem","Analytical tools for monetary policy","Online ",3,2,"2022-11-22","2022-11-24",null,"2022-10-07","https://www.bundesbank.de/en/bundesbank/international-central-bank-dialogue/international-central-banking-courses-/analytical-tools-for-monetary-policy-890496","Monetary policy decision-making calls for thorough analysis of economic, monetary and financial developments. Central banks assess these developments using a variety of analytical tools. The outcome of their analysis provides key input for well-informed monetary policy decisions which allow the central bank to fulfill its monetary policy mandate.This 3-day course provides an overview of different analytical tools which the staff of the Bundesbank use in the context of the monetary policy decision-making process in the monetary union. The focus of the course is on the analysis of monetary and financial developments, which represents an important part of the analytical approach adopted by the Eurosystem under the prevailing monetary policy strategy. Bundesbank experts will present key aspects of their regular analytical work. In particular, the course will illustrate specific analytical approaches in order to monitor and assess developments in the area of money and credit, in capital markets, in exchange rates and price competitiveness as well as in relation to the monetary transmission process.","nie ","nie ","nie "]
["TN001","Tallinn University ","Digital Innovation for Civic Engagement Projects (Online Edition)","Online ",10,9,"2023-01-10","2023-01-19","400 EUR",null,"https://winterschool.tlu.ee/digital-innovation-for-civic-engagement-projects/","Digital Innovation for Civic Engagement Projects is a programme for digital transformation in communities and civic initiatives to involve more people in the discussion and decision-making process by using technology. The aim is to experience what it means to be an active citizen, community member and leader in participatory democracy and to learn about what are the biggest challenges in civic engagement. Participants will also learn how to start the digital transformation in communities and civic initiatives to involve more people in the discussion and decision-making process, using technology for that.\nThis event will bring together representatives of the international community from Indonesia, India, Switzerland, Latvia, Poland, Estonia and other countries. In this programme, we will explore and share the possibilities and challenges that participatory and e-democracy face. The representatives will share their experiences from each country and learn from each other’s projects.\nThe programme aims to improve participatory leadership skills, to learn to design civic engagement projects using technology and to do it in a culturally diverse and startup-minded environment. In this hands-on training, participants will work with their own projects to learn to initiate digitally innovative engagement projects.\nWHY TAKE THIS ONLINE COURSE?\n• The course will help you to understand the meaning of civic engagement and participatory democracy.\n• You will learn how to start the digital transformation in communities and civic initiatives in order to involve more people in the discussion and decision-making process.\n","nie ","nie ","nie "]
["CR005","Cornel University","STSCI 2100 Introductory Statistics","Asynchronous distance learning",15,17,"2023-01-03","2023-01-20","6720 USD",null,"https://sce.cornell.edu/courses/roster/stsci-2100","Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. Students learn to use statistical software and simulation tools to discover fundamental results. They use computers regularly; the test includes both multimedia materials and a software package. This course does not focus on data from any particular discipline, but will use real-world examples from a wide variety of disciplines and current events.\n",null,"nie ","áno"]
["SM012","University of Southampton","ArcGIS (ArcMap): Introduction to Coastal and Marine GIS (Online)","Online",3,3,"2022-10-11","2022-10-13","695 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","Delivering sustainable development in the\nmarine environment requires a balance to be\nachieved between resource use and\nprotection of our seas. Spatial data is\nincreasingly important in such decision\nmaking being used for marine planning,\nconflict management and environmental\nmanagement.\nGeoData’s experienced GIS trainers have\nteamed up with ABPmer GIS Consultants,\nwho specialise in the coastal and marine\nsector, to create a course that will provide\nyou with the background and skills necessary\nto utilise these powerful tools and\ntechniques.\nThe course introduces GIS concepts and\ntechniques using ArcGIS 10. In addition, it\ndescribes available Coastal and Marine GIS\ndatasets, which also form the basis for the\ncourse exercises.\nA project showcase, drawn from ABPmer’s\nportfolio, illustrates how these datasets have\nbeen used within GIS to support coastal and\nmarine decision making. The course also\nconsiders common problems faced when\nmapping the coastal and offshore zones\n(including projections, vertical datums, etc.)\nand offers a GIS Clinic, where delegates have\nthe opportunity to discuss their own specific\nissues with the experts.","nie ","nie ","nie ",null,null,null,null,null,"*link na iný kurz + link ideálne nie na sylabus, ale na web, kde sú datumy a ceny"]
["SM013","University of Southampton","ArcGIS (ArcMap) Introductory Online","Online",2,2,"2022-11-15","2022-11-16","550 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","This course introduces the underlying principles and\nmethods of Geographical Information Systems (GIS).\nIt examines the processes involved in the capture,\nstorage, manipulation, analysis, presentation and\noutput of digital geographical data in a GIS and\nprovides opportunities for the development of\npractical skills in processing data using a leading Open\nSource GIS software package, QGIS.\nThe course comprises a series of presentations, demos\nand practical sessions using QGIS software with\nexample data sets taken from a variety of fields. The\nmain elements of the QGIS user interface are\nintroduced and topics covered include: data\nmanagement, data visualisation, analysis, data\npresentation and reporting.\nThis course is intended for those who have little or no\nGIS knowledge and who wish to use FREE software\ndeveloped by the Open Source community as opposed\nto a proprietary commercial package.\n  \n        \n     \n  \n   \n   \n     \n      \n    \n  \n  \n     \n        \n               \n            \n    \n \n \n     \n  \n       \n\n    \n       \n \n      \n                    \n  \n \n         \n          \n    \n \n         \n           \n     \n \n         \n       \n\n \n    \n     \n                     \n     \n       \n    \n          \n  \n           \n\n      \n \n \n      \n       \n    \n \n    \n  \n \n          \n       \n  !  \n\n\n          \n           \" # $  %     \n       \n    \n     \n \n  \n  \n      \n \n         \n      \n \n   \n   \n\n    \n\n \n \n      %      %  &   %  '      \n  \n %      !     \n     \n  \n\n   \n\n         \n \n\n     \n(\n   \n     \n \n  )\n             )\n   \n*        \n        ) \n  \n \n \n    )\n\n     \n \n         \n  \n       \n        \n     \n ","nie ","nie ","nie "]
["SM014","University of Southampton","Introduction to ArcGIS Pro (Online)","Online",2,2,"2022-11-22","2022-11-23","550 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","This course introduces the underlying principles and\nmethods of Geographical Information Systems (GIS).\nIt examines the processes involved in the capture,\nstorage, manipulation, analysis, presentation and\noutput of digital geographical data in a GIS and\nprovides opportunities for the development of\npractical skills in processing data using a leading Open\nSource GIS software package, QGIS.\nThe course comprises a series of presentations, demos\nand practical sessions using QGIS software with\nexample data sets taken from a variety of fields. The\nmain elements of the QGIS user interface are\nintroduced and topics covered include: data\nmanagement, data visualisation, analysis, data\npresentation and reporting.\nThis course is intended for those who have little or no\nGIS knowledge and who wish to use FREE software\ndeveloped by the Open Source community as opposed\nto a proprietary commercial package.","nie ","nie ","nie "]
["SM015","University of Southampton","QGIS: Introductory (Online)","Online",2,2,"2022-12-06","2022-12-07","425 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","This course introduces the underlying\nprinciples and methods of Geographical\nInformation Systems (GIS). It examines\nthe processes involved in the capture,\nstorage, manipulation, analysis,\npresentation and output of digital\ngeographical data in a GIS and provides\nopportunities for the development of\npractical skills in processing data using an\nindustry standard GIS software package.\nThe course comprises a series of\npresentations and computer-based practical\nsessions using ESRI’s ArcGIS software with\nexample date sets taken from a variety of\nfields. The three main elements of ArcGIS\n(ArcMap, ArcCatalog and\nArcToolbox/Geoprocessing) are introduced\nand topics covered include: data\nmanagement; data visualisation; data\nquality and analysis; georeferencing; data\npresentation and reporting.\nThis course is intended for those who have\nlittle or no GIS knowledge or who wish to\nundertake some formalized training in\nArcGIS having been largely self-taught in\nthe past. ","nie ","nie ","nie "]
["SM016","University of Southampton","QGIS: Advanced (Online)","Online",2,2,"2022-12-13","2022-12-14","425 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","This online course builds on the\ndelegates existing knowledge of QGIS. It\ncomprises a series of presentations,\ndemos and computer practical sessions\nusing FREE open source GIS software.\nThe example datasets are taken from a\nvariety of fields.\nDelegates are introduced to advanced\nanalysis techniques using both raster and\nvector data. The course includes a basic\nintroduction to the PostgresSQL/PostGIS\nenterprise database as well as the Python\nprogramming language. The course is\ndesigned for existing users of QGIS that\nwant to expand their knowledge and\ncarry out higher-level analysis.\nThis course is intended for those who\nhave either completed our Introduction\nto QGIS course or have equivalent\nknowledge and experience.\nThe course is run via a series of zoom\nvideo calls","nie ","nie ","nie "]
["VA010","Vrije Universiteit Amsterdam","Learn the in and outs of Data Analysis in R!","Online",5,5,"2023-01-09","2023-01-13","850 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/data-analysis-in-r","R is an open-source programming language that has become very important in data science because of its versatility in the field of statistics. R is usually used when the task requires special analysis of data for standalone or distributed computing. R is also perfect for data exploration. It can be used in any kind of analysis work, as it has many tools and is also very extensible.\n\nThis course focuses upon understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics.","Applications before October 15th get a 50 Euro disscount ","nie ","nie "]
["VA011","Vrije Universiteit Amsterdam","Learn about recent econometric methods to analyze network data","Online",3,3,"2023-01-09","2023-01-11","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/econometrics-of-networks","Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization. \n\nThe online course will combine online lectures with hands-on empirical and programming exercises.","Applications before October 15th get a 50 Euro disscount ","nie ","nie "]
["VA012","Vrije Universiteit Amsterdam","Learn all about gestures: analyse forms, meaning and functions","Online",5,5,"2023-01-11","2023-01-17","850 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/gestures-how-to-analyse-forms-meaning-and-functions","Research has shown that a person’s hand movements while talking can be the result of many different motivations, namely the individual’s thinking and speaking processes, the culture(s) the speaker is part of, and the local context of communication. \n\nHow can you analyse a speaker’s hand movements in video recordings? \n\nThis online course will provide a set of research skills for such analysis, which feeds into the study of language, communication, and interaction.","Applications before October 15th get a 50 Euro disscount ","nie ","nie "]
["UA006","University of Amsterdam","Political Economy","Online",10,12,"2023-01-16","2023-01-27","800 EUR","2022-12-12","https://www.uva.nl/en/programmes/winter-courses/political-economy/political-economy.html?origin=Mfr3HEr2STuBlDZU4MWRoA#Dates-tuition-and-deadlines&cb","To what extent does the economy determine the type of policies a government pursues? And how much sway over the economy does a government have? The fields of politics and economics are deeply intertwined: the study of political economy is extremely important in understanding key processes at work in the world today. It can offer insights and trigger inquiry into the dynamics of states and markets, voters and firms and subject such as income inequality, ‘growth’, Brexit or bilateral relations between the United States and China. Join our two-week online winter programme to learn more!","nie ","nie ","nie "]
["TS048","Tstat","Automating Your Research in Stata","Online",3,5,"2023-02-03","2023-02-07","1400 EUR","2023-01-23","https://www.summerschoolsineurope.eu/course/13135/automating-your-research-in-stata","This course aims to provide participants with the fundamental Stata programming toolkit in order to facilitate, automate, replicate and personalize both data analysis, management and presentation. As such, session 1 reviews some general Stata commands, illustrating how they can be combined with some powerful Stata programming constructs for looping and branching. The course then moves on to focus on how the programming concepts of Macros, Loops, and Branching, can be implemented to effectively write, modify and develop do files (user written Stata programs).\n\nIn common with TStat’s course philosophy, each session is composed of both a theoretical component (in which the programming techniques are fully explained via a series of course specific developed examples), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques under the watchful eye of the course tutor.\n\nAt the end of the course, it is expected that participants are able to personalize existing Stata commands and develop their own do files in order to organize their workload in a more automated, efficient, flexible and reproducible manner.","nie ","nie ","nie "]
["TB001","TU Berlin Summer and Winter University","Business Data Science with Python","Berlin",20,28,"2023-01-02","2023-01-27","2340 EUR","2022-12-05","https://www.summerschoolsineurope.eu/course/16553/business-data-science-with-python","The course of Business Data Science with Python contains the learning materials, practices and case studies to develop the knowledge and skills of the students in the field of data science and its application in the real business/work world.\nThe students will learn how to apply analytical techniques and scientific principles to extract valuable information from business data for decision-making, strategic planning.\nThis skills-based specialization is intended for learners who have a basic programming background and want to apply statistical, machine learning, information visualization, and data analysis techniques through python programming language and other tools.","nie ","nie ","nie "]
["AC321","ACREA CR","Analýza Kategorizovaných Dát 1- dvourozměrné kontigenční tabulky četností ","Praha/Online",1,1,"2023-01-16","2023-01-16","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-i/","Komparační a asociační kontingenční tabulky jsou prostředkem popisu a vysvětlení vztahů dvou kategorizovaných proměnných. Metody práce s kontingenční tabulkou zahrnují testy chí-kvadrát a míry asociace, identifikaci vlivu jednotlivých polí pomocí reziduální analýzy a znaménkového schématu, rozklad tabulky na homogenní části a grafické zobrazení vzájemných asociací mezi kategoriemi.","cena kurzu je bez DPH, MOŽNÉ KOMBINOVAŤ Analýza Kategorizovaných Dát 1, 2, 3 SPOLU ZA 3 DNI A 590 EUR+ DPH","nie ","nie "]
["AC322","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT II\n- vícerozměrné kontingenční tabulky četností","Praha/Online",1,1,"2023-01-17","2023-01-17","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-ii/","Komplexní analýzy několika proměnných představují snahu odhalit vícerozměrnou latentní datovou strukturu a nalézt interpretaci této struktury. Hledáme informaci, která je skryta v souboru dat za tříděním více než dvou kategorizovaných proměnných pomocí klasických Pearsonových testů hypotéz pro třídění vyšších stupňů, pomocí obdoby faktorové analýzy pro nominální proměnné (vícenásobná korespondenční analýza), a pomocí postupného vyhledávání interakcí (asociační stromy). Grafická i číselná analýza jsou podkladem pro interpretaci výsledků.","cena kurzu je bez DPH, MOŽNÉ KOMBINOVAŤ Analýza Kategorizovaných Dát 1, 2, 3 SPOLU ZA 3 DNI A 590 EUR+ DPH","nie ","nie "]
["AC323","ACREA CR","ANALÝZA KATEGORIZOVANÝCH DAT I \n- dvourozměrné kontingenční tabulky četností","Praha/Online",1,1,"2023-01-18","2023-01-18","245 EUR",null,"https://kurzystatistiky.cz/kurzy/statistika-a-analyza-dat/analyza-kategorizovanych-dat-iii/","Logaritmicko-lineární modely v kontingenčních tabulkách tvoří systém metod, kterými lze flexibilně formulovat a ověřovat různé hypotézy v tabulkách četností. Modelují se vzájemné souvislosti mezi kategoriemi i vztahy k jedné závislé proměnné. Přístup poskytuje také řešení pro nestandardní situace analýzy dat ve speciálních případech.","cena kurzu je bez DPH, MOŽNÉ KOMBINOVAŤ Analýza Kategorizovaných Dát 1, 2, 3 SPOLU ZA 3 DNI A 590 EUR+ DPH","nie ","nie "]
["AE035","AdeptEvents","TACKLING DATA QUALITY PROBLEMS","Online",1,1,"2022-11-24","2022-11-24","280 EUR",null,"https://adeptevents.nl/event/tackling-data-quality-problems?lang=en#general","We will send the course materials and meeting instructions well in advance as well as the invitation with hyperlink to join us online. The seminar will start at 9:00 and lasts until 13:00 CET. The online meeting will be available at least one half hour earlier so please log in timely in order to check your sound and video settings beforehand.\n\n \n\nCourse Description \n\nData Quality: Myths & Realities\nWhat is data quality and what is ‘fit for purpose’ data\nThe impact of poor data quality on organisations and individuals\nThe causes of poor data quality\nCommon data quality myths and misconceptions\nThe relationship of data quality to other data management disciplines\n \n\nHolistic Approaches to Data Quality Improvement\nWhy traditional approaches to data quality improvement have limited success\nThe need for a holistic approach encompassing people, process and technology\nAn overview of the A to E approach and its benefits\n \n\nA to E: Assess\nUnderstanding your organisation’s data quality needs – today and tomorrow\nIdentifying key data quality stakeholders\nEvaluating data quality ‘fitness for purpose’\nUncovering and capturing data quality problems\n \n\nA to E: Baseline\nMeasuring the quality of key data sources\nUnderstanding the 7 dimensions of data quality\nData profiling – how to baseline and quantify data quality\nAssessing the business impact of data quality problems\n \n\nA to E: Converge\nPrioritising data quality problems\nIdentifying pilot / proof of concept projects\nProducing data quality improvement business cases\nGaining business and IT commitment\n \n\nA to E: Develop\nCreating data quality improvement teams\nKey roles and responsibilities\nAnalysing root causes of data quality problems\nCreating and delivering a Data Improvement Plan (DIP)\n \n\nA to E: Evaluate\nManaging data quality improvement as a continuous process\nUseful tools and technologies\nData governance and sustaining the gains\nData quality monitoring and reporting\nSelling the benefits\n \n\nThe Future of Data Quality\nFuture data quality challenges\nHow to stay ahead of the challenges\nCourse conclusion and follow ups","ZľAVA NA KURZ-The Early Bird rate of € 252,00 expires (*) after 25 October 2022. Register now and receive discount!","nie ","nie "]
["TS049","Tstat","TIME SERIES MODELLING AND FORECASTING USING STATA","Online ",2,1,"2022-12-19","2022-12-20","675 EUR","2022-12-09","https://www.tstattraining.eu/training/time-series-modelling-and-forecasting-stata-ol/","Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of our is therefore to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the programm has been developed to offers an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. Module 1 provides an introduction to Stata’s basic commands before moving to the analysis of time series features and to univariate time series models. Module 2 covers multivariate time series models for stationary and non-stationary series.\n\nIn common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises with Stata. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. At the end of the course, participants are expected to be able to autonomously implement the methods discussed in the course.",null,"nie ","nie "]
["EC347","European Consortium for Political Research (ECPR)","Advanced Qualitative Data Analysis","Online",5,5,"2023-02-13","2023-02-17","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12417","Learn how to use NVivo for conducting four popular methods of qualitative analysis widely used in the social sciences:\n\nqualitative content analysis\nthematic analysis\ncross-case analysis\ngrounded theory\nOn the last day, we look at method integration; that is, integrating components of the four methods into a single study.\n\nBy the end of this course, you will be able to:\n\nDescribe the aim, objectives, and expected outcomes of the above four methods\nDemonstrate how each method suits a given research question\nImplement each method’s coding and analysis procedures in NVivo\nGenerate graphic displays that match each method’s style\nAppraise the quality of qualitative studies that used the four methods\nPropose situations where methods integration is feasible."]
["EC348","European Consortium for Political Research (ECPR)","Applied Regression Analysis: Estimation, Diagnostics, and Modelling","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12422","This course offers an introduction to regression analysis using R (one of the most versatile and popular programming languages). You will learn the classical theory of Ordinary Least Squares (OLS) regression, as well as non-linear regression techniques. You will use a variety of data and models to show when and how regression can be useful in policy analysis, and other contexts."]
["EC349","European Consortium for Political Research (ECPR)","Case Study Research: Method and Practice","Online",5,5,"2023-02-13","2023-02-17","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12419","This course covers key elements of qualitative case studies and process tracing for the purpose of making causal claims about effects or mechanisms. Before the course starts, for each of the sessions, you can watch a recording that sets the stage for the live online sessions.\n\nBy the end of this course, you will have learned about all elements of comparative case studies and process tracing, and be able to implement a sound case study."]
["EC350","European Consortium for Political Research (ECPR)","Critical Discourse Analysis","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12415","This course offers a comprehensive introduction to Critical Discourse Analysis (CDA) – and its central, Discourse-Historical Approach – as the key critical, qualitative approaches to analysing discourse within and beyond the field of contemporary politics. \n\nThe course highlights how deploying CDA/DHA can help to critically and systematically analyse and deconstruct discursive dynamics and the recontextualisation of discursive strategies in traditional and online (including social) media and across other modes of political, policy and institutional communication."]
["EC351","European Consortium for Political Research (ECPR)","Interpretive Research Methods","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12414","You will gain a practical understanding of the typical steps of an interpretive research process – from how to formulate an interpretive research question to how to present and document interpretive analyses. \n\nThe course introduces a broad spectrum of interpretive approaches, including narrative methods, discourse analysis, and deconstructive analytics. By understanding their logics and uses, you will be able to select a strategy that fits your own research question."]
["EC352","European Consortium for Political Research (ECPR)","Introduction to Bayesian Inference","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12531","Political scientists increasingly apply the Bayesian approach to diverse kinds of research topics. This course is designed to equip you with the knowledge and skills needed to use the approach effectively and efficiently.\n\nBy the end of this course, you will:\n\ngain a conceptual background for Bayesian analysis\nunderstand the literature using Bayesian statistics, and how to interpret the results\nlearn how to use specific tools for Bayesian analysis, using examples from political science."]
["EC353","European Consortium for Political Research (ECPR)","Introduction to Inferential Statistics","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12421","Quantitative data is becoming increasingly available and publications are making the use of it more prevalent in political science. This course gives you the tools to engage in and become an informed consumer of quantitative research. It will teach you the basic inferential statistical techniques used in political science research, allowing you to progress to more advanced techniques."]
["EC354","European Consortium for Political Research (ECPR)","Introduction to NVivo","Leuven, Belgicko",1,2,"2023-02-10","2023-02-11","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12412","This course teaches the basic and advanced features of NVivo for qualitative data analysis. You will learn to:\n\nset up an NVivo project\norganise data\nmanage your literature review\ncode data by themes \nseek patterns and relationships\npresent findings with visualisations.\nThis course does not teach how to use NVivo for specific qualitative methodologies such as thematic analysis, discourse analysis, content analysis, grounded theory, etc. For that, you need Advanced Qualitative Data Analysis.","Pre účasť na kurze odporúčajú absolvovať Advanced Qualitative Data Analysis."]
["EC355","European Consortium for Political Research (ECPR)","Introduction to R","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12413","By the end of this course, you will be able to approach the most common analysis tasks in R with confidence. The aim is to provide an accessible entry into the world of R and show how a range of recent developments make R not just powerful, but accessible to newcomers."]
["EC356","European Consortium for Political Research (ECPR)","Machine Learning with Big Data for Social Scientists","Online",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12420","The course has two core topics:\n\nconstructing and managing large datasets in R\nmachine learning, with specific focus on providing analytics from large datasets. \nFor the first topic, big data, we start by asking: What is big data? Why it is difficult to work with? We then learn the best solutions in R for working with big data depending on the size of data, from locally stored data objects to databases hosted on the cloud. \n\nFor the second topic, machine learning, we will learn basic concepts such as:\n\nproblem definitions\nobjective function\nbias-variance trade-offs\nparameter tuning. \nIn statistical analysis, social science traditionally has emphasised the explanation of some outcomes with some inputs. Machine learning has an overlapping but evidently different orientation.\n\nBy contrasting the inference-based approach with the prediction-focused approach, you get to understand the fundamental ideas of machine learning.\n\nAfter theoretical discussions, we will apply machine learning techniques to various analytical tasks in social sciences.\n\n"]
["EC357","European Consortium for Political Research (ECPR)","Multivariate Statistical Techniques for Comparing Countries","Leuven, Belgicko",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12423","This course offers an introduction to the main statistical techniques used to analyse cross-national comparative surveys data. \n\nBy the end, you will gain an understanding of how different statistical methods treat the ‘country effect’: how statistical models (linear regression, logit models, loglinear models, multilevel regression models), scaling techniques (from simple methods to complex factorial techniques) or data reduction methods (factor and PCA analysis) test for the ‘invariance’ of the relationship between variables across countries. \n\nDuring the course you will use R and/or Stata.","Na kurze sa používa R/Stata."]
["EC358","European Consortium for Political Research (ECPR)","Online Qualitative Data Collection: Methods, Technology and Ethics","Online",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12418","This course focuses on the use of digital technologies for qualitative data collection, from a conceptual and an applied perspective, including logistical, technical and ethical issues.\n\nIt provides hands-on training in online qualitative data collection methods, covering methodological and practical aspects of online focus groups, online interviewing, and virtual ethnography (online fieldwork). \n\nBy the end of this course, you will be able to:\n\nunderstand concepts and assumptions of social science methodology using digital technologies\ndesign research with online qualitative data collection\ncollect qualitative data online\naddress technological and ethical issues using digital technologies."]
["EC359","European Consortium for Political Research (ECPR)","Panel Data Analysis","Online",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12424","This course focuses on panel data models estimated with OLS; namely, linear models for dependent variables that are continuous or can be reasonably assumed to be continuous.\n\nAlthough the basic concepts and ideas also apply to models designed for binary or ordinal dependent variables such as probit or logit, these models are complicated by maximum likelihood estimation (MLE) and require a different set of foundations.\n\nLimited course hours and the complexity of MLE means we won't cover non-continuous panel data models for dependent variables, such as fixed-effect logit and 2SLS (IV) probit models."]
["EC360","European Consortium for Political Research (ECPR)","Qualitative Data Analysis","Online",5,5,"2023-02-13","2023-02-17","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12416","This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn\n\nthe conceptual basis of a strong qualitative research design\ndifferent approaches to code qualitative data\ntechniques to seek patterns across themes and cases\nstrategies to present qualitative findings convincingly\ntips to create a transparent audit trail of your analysis process.\nThe course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis."]
["EC361","European Consortium for Political Research (ECPR)","Survey Design","Online",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12409","Most people can run a survey, especially with the help of online platforms. However, not everyone can conduct one that complies with best practice and standards in the field to ensure high quality data is collected. This course teaches you how to design surveys for various outcomes, target groups and constructs, by drawing on the Total Survey Error (TSE) framework."]
["EC362","European Consortium for Political Research (ECPR)","Using Participatory Research Methods in Political Science Research","Online",5,5,"6.2.20223","2023-02-10","1127 EUR",null,"https://ecpr.eu/Events/Event/PanelDetails/12409","By the end of this course you will:\n\nunderstand how to use appropriate PR methods within a research process\nappreciate the ethical, political and practical challenges involved\nlearn the conceptual and practical tools necessary for designing and carrying out participatory research in your PhD or research project.\nThe interactive sessions allow you to share knowledge with other researchers, providing space to generate new ideas and solutions. The course will be delivered synchronously online. Between each session, we will set additional tasks for individuals and for groups.\n\nPrior to the course, you’ll be asked to think of a critical question you are addressing in your research project. Over the week, you will explore this question and practice designing your own participatory research process."]
["CN001","Cranfield university","Statistical Analysis and Trials","Cranfield University at Shrivenham, Veľká Británia",5,5,"2023-01-09","2023-01-13","1925 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/statistical-analysis-and-trials","This module covers the essential concepts of probability and statistics, including the design and analysis of trials. A range of popular statistical techniques are dealt with, ranging from classical tests based on the normal distribution to non-parametric methods. Emphasis is on the practical use of statistics to improve data analysis and enhance decision making."]
["CN002","Cranfield university","Data Modelling, Storage and Management","Cranfield University at Shrivenham, Veľká Británia",5,5,"2023-01-23","2023-01-27","1350 GBP",null,"https://www.cranfield.ac.uk/courses/short/defence-and-security/data-modelling-storage-and-management","Data Modelling, Storage and Management will lead the student through the different approaches to data modelling. The module will also consider the best practices for storage and retrieval of information and data using both traditional and innovative technologies","5 days face to face learning (with additional distance learning to be completed during 7 weeks)"]
["CD013","European Security and Defence College","Cybersecurity and Smart City","Brusel, Belgicko",3,3,"2022-12-14","2022-12-16",null,null,"https://esdc.europa.eu/enlistapi/22.23.275.1-%20Programme%20Cybersecurity%20and%20Smart%20City%20Course%20Brussels.pdf"]
["IP077","ictPro","DATOVÁ ANALÝZA V PYTHONU (PYDATA)","Praha, ČR",2,2,"2023-01-12","2023-01-13","11858 CZK",null,"https://www.skoleni-ict.cz/kurz/Datova-analyza-v-Pythonu-PYDATA.aspx","Chcete se dozvědět více informací z vašich dat? Už vám nestačí zpracovávat data pomocí Excelu a SQL a raději byste získali nad zpracováním dat plnou kontrolu? Rádi byste celý postup zpracování dat automatizovali, abyste se mohl vrhnout na další zajímavá data? Přihlaste se na praktický workshop, ve kterém si vyzkoušíte zpracování dat pomocí knihovny Pandas a kreslení grafů knihovnou Matplotlib. Napište si celý postup zpracování dat jako dokument v praktickém nástroji Jupyter Notebook prokládaný jednotlivými kroky, ve kterých data zpracováváte, vykreslujete a znázorňujete v grafech.."]
["IP078","ictPro","PYTHON - NÁVRHOVÉ VZORY (PYTH3)","Praha, ČR",3,3,"2023-01-18","2023-01-20","20328 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-navrhove-vzory-PYTH3.aspx","Programujete v Pythonu a rádi byste tvořili kvalitní a udržovatelný kód? Za dobu existence objektově orientovaných jazyků vzniklo mnoho zavedených postupů a zvyklostí. Mnohé z nich se dají přímo uplatnit v Pythonu, další lze pro Python adaptovat a některé se dokonce staly součástí jazyka. Přihlaste se na praktický workshop, ve kterém si vyzkoušíte přizpůsobení klasických návrhových vzorů (design patterns) pro Python. Návrhové vzory jsou demonstrovány na pečlivě vybraných ukázkách kódu. Vyzkoušejte si, kdy je vhodnější držet se klasických návrhových vzorů, a kdy v Pythonu raději sáhnout po přímočarém řešení."]
["IP079","ictPro","PYTHON - ZÁKLADY PROGRAMOVÁNÍ (PYTH1)","Brno, ČR",3,3,"2023-01-25","2023-01-27","14278 CZK",null,"https://www.skoleni-ict.cz/kurz/Python-zaklady-programovani-PYTH1.aspx","Chcete začít programovat nebo svůj repertoár rozšířit o jeden z nejoblíbenějších programovacích jazyků? Python je programovací jazyk vhodný pro začátečníky i programátorské veterány. Používá se ve všech oblastech vývoje software, automatizace a zpracování dat."]
["IP080","ictPro","POWER BI - EFEKTIVNÍ ANALÝZA DAT A REPORTING (PWBI1)","Praha, ČR",2,2,"2023-01-09","2023-01-10","10769 CZK",null,"https://www.skoleni-ict.cz/kurz/Power-BI-Efektivni-analyza-dat-a-reporting-PWBI1.aspx","Kurz je určen uživatelům, kteří s aplikací Power BI začínají. Na tomto kurzu vás seznámíme s architekturou Power BI, ukážeme vám možnosti importu a následné úpravy dat. Předvedeme si možnosti vizualizace dat, rozdělení reportů na více stránek, jejich sdílení s kolegy, klienty."]
["IP081","ictPro","MS EXCEL - ANALÝZA DAT POMOCÍ POWER PIVOT, POWER QUERY A POWER MAP (MSE6)","Brno, ČR",2,2,"2023-01-12","2023-01-13","9438CZK",null,"https://www.skoleni-ict.cz/kurz/MS-Excel-analyza-dat-pomoci-Power-Pivot-Power-Query-a-Power-Map-MSE6.aspx","Cílem tohoto kurzu je seznámit účastníky s doplňky tabulkového kalkulátoru, díky nimž nyní můžete velice rychle zpracovávat miliony řádků z různých databází současně. Kurz je určen těm, kdo zpracovává a analyzuje velké množství dat a potřebuje provádět nad nimi provádět efektivní a rychlé analýzy. Naučíte se spravovat datový model sešitu pomocí doplňku Power Pivot, vytvářet dotazy a transformovat data pomocí doplňku Power Query a tvořit atraktivní prohlídky protorových dat díky nástroji Power Map."]
["IP082","ictPro","UŽIVATELSKÁ MAKRA NEJEN V EXCELU (MSE4)","Praha, ČR",1,1,"2023-01-06","2023-01-06","4356 CZK",null,"https://www.skoleni-ict.cz/kurz/Uzivatelska-makra-nejen-v-Excelu-MSE4.aspx","Kurz je určen pokročilým uživatelům aplikací MS Office, kteří si chtějí práci zautomatizovat díky záznamům maker. Na kurzu se účastníci seznámí s uživatelským záznamem makra bez potřeby znalosti programovacího jazyka VBA. Užitečné praktické ukázky použití maker budou využity nejen v aplikaci MS Excel. Kurz je vhodný jako úvodní kurz před výukou programování ve VBA.B12"]
["IR002","IERI","IERI Autumn Academy 2022 - Population Modeling in Large-scale Assessments","Berlín, Nemecko",3,3,"2022-12-14","2022-12-16","500 EUR",null,"https://web.cvent.com/event/cd3bc318-b3fc-4134-a606-3a83bfd432f1/websitePage:f5f1940b-980e-4398-96f6-3b681ef5e4a3","The goal of the Academy is to familiarize participants with the topics related to assessment designs and IRT, and enable them to use commercially and freely available software to conduct appropriate IRT analysis and generate proficiency estimates or plausible values."]
["JV019","Joint Vienna Institute","Macroprudential Policy Implementation","Viedeň, Rakúsko",3,3,"2023-01-31","2023-02-02",null,"2023-12-02","https://www.jvi.org/courses/course-schedule-2023/course/23JV01.html","The objective of this three-day course is to present and discuss the implementation of macroprudential policy tools, focusing on the experience of the countries in Central, Eastern and South-Eastern Europe. Following a general introduction of the economic and institutional background of macroprudential policy, the course will first discuss the monitoring and assessment framework needed for macroprudential decision-making. This will be followed by sessions looking at the concrete implementation of key capital- and borrower-based macroprudential tools, such as the Counter-cyclical Capital Buffer (CCyB) and the Loan-to-Value Ratio (LTV). The course will also look at the links between macroprudential policy, microprudential supervision and monetary policy. Practical sessions to explore the implementation of macroprudential policy will be an important part of the course. In addition, participants may be invited to present the macroprudential experience of their countries."]
["MC013","Metrika Consulting AB","Introduction to Stata","Online",4,4,"2023-01-13","2023-02-24","125 GBP",null,"https://www.stata.com/netcourse/intro-nc101/","Learn how to use all of Stata's tools and become a sophisticated Stata user. You will understand the Stata environment, how to import and export data from different formats, how Stata's intuitive syntax works, data management in Stata, matching and merging, how to analyze subgroups of data, how to reproduce your work and document it for publication and review, how to interact with the Stata community online, and more."]
["MC014","Metrika Consulting AB","Statistical graphics using Stata","Online",4,4,"2023-01-13","2023-02-24","175 GBP",null,"https://www.stata.com/netcourse/graphics-intro-nc120/","Learn how to communicate your data with Stata's powerful graphics features. This course will introduce different kinds of graphs and demonstrate how to use them for exploratory data analysis. Topics include how to use graphs to check model assumptions; how to format, save, and export your graphs for publication using the Graph Editor; how to create custom graph schemes; how to create complex graphs by layering and combining multiple graphs; how to use margins and marginsplot; and more. Bonus material includes information on user-written graph commands and useful data management tools."]
["MC015","Metrika Consulting AB","Introduction to Stata programming","Online",4,4,"2023-01-13","2023-02-24","175 GBP",null,"https://www.stata.com/netcourse/programming-intro-nc151/","Become an expert in organizing your work in Stata. Make the most of Stata's scripting language to improve your workflow and create concretely reproducible analyses. Learn how branching, looping, flow of control, and accessing stored estimation results can speed up your work and lead to more complete analyses. Learn about bootstrapping and Monte Carlo simulations, too."]
["TI357","Timberlake Consultants","Introduction to Generalised Linear Mixed Models using Stata","Online",2,2,"2023-02-15","2023-02-16","450 GBP",null,"https://www.timberlake.co.uk/courses/introduction-generalised-linear-mixed-models-stata-feb23.html#overview","Mixed models have become increasingly popular, as they have many practical applications. However, the traditional linear mixed model with normally distributed errors may not always be appropriate for modelling discrete response variables, such as binary data and counts. Typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression."]
["TI358","Timberlake Consultants","2022 Stata Winter School, London","Londýn, Veľká Británia ",6,6,"2022-12-12","2022-12-17","480-2015 GBP",null,"https://www.timberlake.co.uk/courses/stata-winter-school-2022.html#overview","The Stata Winter School consists of a series of one and two-day courses which can be taken individually or as a whole as required. The School is aimed at students, academics and professionals who want to develop and strengthen their data processing, programming, graphics and statistical skills using Stata. All of the courses are taught interactively using a blend of theory, follow-along demonstrations and exercises.","cena podľa počtu dní"]
["VA013","Vrije Universiteit Amsterdam","Data Analysis in R","Online",5,5,"2023-01-09","2023-01-13","850 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/data-analysis-in-r","R is an open-source programming language that has become very important in data science because of its versatility in the field of statistics. R is usually used when the task requires special analysis of data for standalone or distributed computing. R is also perfect for data exploration. It can be used in any kind of analysis work, as it has many tools and is also very extensible."]
["VA014","Vrije Universiteit Amsterdam","Econometrics of Networks","Online",3,3,"2023-01-09","2023-01-11","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/econometrics-of-networks","Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization"]
["VA015","Vrije Universiteit Amsterdam","Inference in Structured High-Dimensional Models","Online",4,4,"2023-01-09","2023-01-12","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/inference-in-structured-high-dimensional-models","The course offers a general approach to draw inference in many high-dimensional models with various hidden structures. We develop a general framework for model+structure combinations and within this framework study various statistical problems such as estimation problem, posterior contraction problem, uncertainty quantification and structure recovery. The proposed general framework unifies a very broad class of high-dimensional models and structures, interesting and important in their own right."]
["VA016","Vrije Universiteit Amsterdam","Programming in Python - Beginner Level","Online",5,5,"2023-01-09","2023-01-13","850 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/programming-in-python-beginner-level","Python code is relatively easy to read and understand and has a vast number of practical applications, including everything from the sciences to the arts. Furthermore, the skills you’ll pick up in this course will be transferable to other programming languages."]
["VA017","Vrije Universiteit Amsterdam","Qualitative Analysis: from Interviews to Results","Online",5,5,"2023-01-16","2023-01-20","800 EUR",null,"https://vu.nl/en/education/professionals/courses-programmes/qualitative-analysis-from-interviews-to-results","This online course aims to equip you with the basic knowledge and practical know-how to conduct qualitative research. After an introduction to the various forms of qualitative research (e.g., ethnographic, semantic, content analysis) and a discussion of the pros and cons, we’ll explore the practical techniques for conducting qualitative analysis. We will provide a brief insight into the most crucial steps of qualitative analysis, after which students will take on their own data using what they’ve just learned to inform their work."]
["SM017","University of Southampton","QGIS: Advanced (Online)","Online",2,2,"2022-12-13","2022-12-14","425 GBP",null,"https://www.geodata.soton.ac.uk/geodata/training/GeoData_AdvQGIS_Online_Jan2022.pdf","This online course builds on the delegates existing knowledge of QGIS. It comprises a series of presentations, demos and computer practical sessions using FREE open source GIS software. The example datasets are taken from a variety of fields."]
["SM018","University of Southampton","ArcGIS (ArcMap): Introductory (Classroom based)","Southhampton, Veľká Británia",2,2,"2023-02-07","2023-02-08","550 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using an industry standard GIS software package."]
["SM019","University of Southampton","Introduction to ArcGIS Pro (Classroom based)","Southhampton, Veľká Británia",2,2,"2023-02-14","2023-02-15","550 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using an industry standard GIS software package."]
["SM020","University of Southampton","ArcGIS Modelbuilder (ArcGIS Pro) classroom","Southhampton, Veľká Británia",1,1,"2023-02-23","2023-02-23","290 GBP",null,"http://www.geodata.soton.ac.uk/geodata/training/Courses","GeoData hosts a regular series of professional GIS training courses using ArcGIS, MapInfo and Open Source QGIS software, ranging from introductory level to more advanced courses covering GIS in greater depth. "]
["SM021","University of Southampton","Evaluation and Monitoring","Southhampton, Veľká Británia",5,5,"2023-01-28","2023-02-01",null,null,"https://www.southampton.ac.uk/courses/modules/stat6089#syllabus","Alternative experimental and quasi-experimental designs for evaluation programmes and the principles underlying the choice between these designs\nData sources and research methods\nPerformance monitoring\nTheoretical framework\nRandomized controlled trials",null,null,"áno"]
["LO325","London School of Economics and Political Science (LSE)","Finance for Executives","Londýn, Veľká Británia ",5,5,"2023-02-20","2023-02-25","6295 GBP","2023-02-13","https://www.lse.ac.uk/study-at-lse/executive-education/programmes/finance-for-executives","Finance for Executives is an intensive and interactive five-day programme that accelerates your understanding and mastery of the core finance concepts, tools and frameworks you need to deliver game-changing impact within your organisation and ecosystem. The programme explores each issue through the use of real-world case studies, hands-on valuation exercises and open discussion with LSE faculty. You absorb knowledge and translate that knowledge directly into highly practical, actionable insights continuously - exchanging perspectives and experience with peers from a diversity of industries, sectors and geographies. The learning experience delivers transformational impact that is as immediate as it is enduring."]
["LO326","London School of Economics and Political Science (LSE)","Climate Change: Economics and Governance","Londýn, Veľká Británia ",5,5,"2023-02-20","2023-02-25","6295 GBP",null,"https://www.lse.ac.uk/study-at-lse/executive-education/programmes/climate-change-economics-and-governance","Your learning experience draws on a fully integrative, multi-disciplinary perspective on climate change leveraging LSE interdisciplinary expertise. Explore the scientific evidence, key controversies in this space, and the critical dimensions of economics and governance, including pricing carbon, market failure and imperfect shared resource systems such as the tragedy of the commons."]
["UZ013","University of Zürich","eFundamentals of Financial Mathematics","online","self-paced","self-paced","self-paced","self-paced","500 CHF",null,"https://www.finance-weiterbildung.uzh.ch/de/programs/single-courses/efundamentals-of-financial-mathematics.html","This course is addressed to those who want to acquire the necessary mathematical toolset needed in finance. The course covers topics such as compounding, linear algebra, calculus, optimization, and integration. These topics are prerequisites for participation in further courses in the field of risk management for banking and finance.","cca 20 hod"]
["UZ014","University of Zürich","Introduction to R","Zurich, Švajčiarsko",2,2,"2023-02-16","2023-02-17","600 CHF","2023-01-16","https://www.weiterbildung.uzh.ch/whp/programme/kurs/e/introduction-to-r--402","The course gives an introduction to efficiently work with R. Among other topics, data import, basic data manipulation, data visualization and reporting are discussed. In addition, the course shows how to conduct and interpret commonly used statistical methods (especially linear regression) in an example-driven way. When possible, brief insights into specialized packages such as knitr or ggplot2 will be included."]
["UT354","Utrecht University","Public Health Epidemiology","online",15,15,"2023-01-09","2023-01-30","890 EUR",null,"https://www.uu.nl/en/professionals/programmes/public-health-epidemiology","This course will enhance your understanding of public health epidemiology, the science upon which public health is based. Public health epidemiology involves describing and interpreting geographical and temporal patterns in population health, identifying prevention strategies, and estimating and evaluating the impact of risk factors and preventive measures on population health.","14 hod/týždeň"]
["UT355","Utrecht University","Survival Analysis","Online",25,25,"2023-01-09","2023-02-15","890 EUR",null,"https://www.uu.nl/en/professionals/programmes/survival-analysis","Survival data, or more generally, time-to-event data (where the “event” can be death,  disease, recovery, relapse or another outcome), is frequently encountered in epidemiologic studies. This course will give an introduction to survival analysis and cover many of the types of survival data and analysis techniques regularly encountered in epidemiologic research.","9hod/týždeň"]
["KC007","King's college London","International Conflict Analysis and Resolution","Online",20,20,"2023-01-10","2023-02-03","950 GBP",null,"https://www.kcl.ac.uk/short-courses/international-conflict-analysis-and-resolution","This module focuses on building the conceptual tools necessary for conflict analysis as well as providing insights into the process of conflict resolution and mediation. Through examining the causes, dynamics and options for resolution, you will be provided with a comprehensive overview of key themes in conflict analysis. These will be common themes, applicable in different contexts including political, corporate and public domains. By drawing on prominent recent and historical examples, we will illustrate these themes as they play out in real-world settings.","3 x 1-hour weekly webinars"]
["UD002","University of Edinburg","Saving Time, Money and Lives with Data","Online",1,1,"2022-12-06","2023-12-06",0,null,"https://www.eventbrite.co.uk/e/saving-time-money-and-lives-with-data-registration-408600764887","In this seminar, Roger Halliday will talk through examples of how public wellbeing can be improved through the use of data, and what's being done in Scotland to make this easier. This will include the steps being taken across Scottish public bodies to build new data science and data management skills, and what we know needs to happen to change lives by using data. He will also cover the establishment of Research Data Scotland that will improve researcher access to and linkage of Scottish data around a person, place or business.","13:00 – 14:00 GMT"]
["OU027","University of Oxford","R for Statistical Significance Tests","Online",0,1,"2023-01-14","2023-01-14","95 GBP",null,"https://www.conted.ox.ac.uk/courses/r-for-statistical-significance-tests?code=O22P124COJ","R is a great computer programming language that is not difficult to learn even for those who have no previous computer programming experience. It is a high-level language which means its instructions and commands are human-readable. It is known for its large world-wide community and its power in data and statistical analyses."]

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["TAGS","sviatky","skúsenosti","zoznam","FORMA","ANO_NIE"]
[" R ",{"$f":"DATE(2019,1,1)","v":"2019-01-01"},"s kurzom","schválený zoznam","školenie","áno"]
[" R.",{"$f":"DATE(2019,1,6)","v":"2019-01-06"},"s organizáciou","rozšírený zoznam","konferenica","nie"]
["analysis",{"$f":"DATE(2019,4,14)","v":"2019-04-14"},"nie"]
["API",{"$f":"DATE(2019,4,17)","v":"2019-04-17"}]
["asset",{"$f":"DATE(2019,5,1)","v":"2019-05-01"}]
["bank",{"$f":"DATE(2019,5,8)","v":"2019-05-08"}]
["banking",{"$f":"DATE(2019,7,5)","v":"2019-07-05"}]
["bayesian",{"$f":"DATE(2019,8,29)","v":"2019-08-29"}]
["behavior",{"$f":"DATE(2019,9,1)","v":"2019-09-01"}]
["benefit",{"$f":"DATE(2019,9,15)","v":"2019-09-15"}]
["biase",{"$f":"DATE(2019,11,1)","v":"2019-11-01"}]
["big data",{"$f":"DATE(2019,11,17)","v":"2019-11-17"}]
["bubble",{"$f":"DATE(2019,12,24)","v":"2019-12-24"}]
["budget",{"$f":"DATE(2019,12,25)","v":"2019-12-25"}]
["capital",{"$f":"DATE(2019,12,26)","v":"2019-12-26"}]
["categorical",{"$f":"DATE(2020,1,1)","v":"2020-01-01"}]
["CBA",{"$f":"DATE(2020,1,6)","v":"2020-01-06"}]
["choice",{"$f":"DATE(2020,4,14)","v":"2020-04-14"}]
["city",{"$f":"DATE(2020,4,17)","v":"2020-04-17"}]
["code",{"$f":"DATE(2020,5,1)","v":"2020-05-01"}]
["competition",{"$f":"DATE(2020,5,8)","v":"2020-05-08"}]
["competitive",{"$f":"DATE(2020,7,5)","v":"2020-07-05"}]
["corporate",{"$f":"DATE(2020,8,29)","v":"2020-08-29"}]
["correlation",{"$f":"DATE(2020,9,1)","v":"2020-09-01"}]
["cost",{"$f":"DATE(2020,9,15)","v":"2020-09-15"}]
["crises",{"$f":"DATE(2020,11,1)","v":"2020-11-01"}]
["cryptocurrencies",{"$f":"DATE(2020,11,17)","v":"2020-11-17"}]
["cycle",{"$f":"DATE(2020,12,24)","v":"2020-12-24"}]
["data",{"$f":"DATE(2020,12,25)","v":"2020-12-25"}]
["data model",{"$f":"DATE(2020,12,26)","v":"2020-12-26"}]
["database"]
["debt"]
["deep learning"]
["demand"]
["demographic"]
["develop"]
["discrete choice"]
["DSGE"]
["dynamic"]
["econometric"]
["economy"]
["education"]
["effect"]
["efficiency"]
["empirical"]
["employment"]
["equilibrium"]
["estimation"]
["europe"]
["evaluation"]
["evidence"]
["experiment"]
["FAVAR"]
["financial sector"]
["fiscal"]
["forecast"]
["gap"]
["gender"]
["Geography"]
["global"]
["globalization"]
["group"]
["growth"]
["hazard"]
["health"]
["healthcare"]
["household"]
["incentive"]
["income"]
["inequality"]
["inference"]
["Inflation"]
["Innovation"]
["institution"]
["international"]
["intervention"]
["investment"]
["Keynes"]
["labor"]
["large dataset"]
["learning"]
["machine learning"]
["macroeconomic"]
["macroprudential"]
["management"]
["market"]
["Matlab"]
["migrant"]
["monetary"]
["Mplus"]
["multivariate"]
["neural networks"]
["nonlinear"]
["outcome"]
["performance"]
["practical"]
["price"]
["pricing"]
["probability"]
["process"]
["productivity"]
["programming"]
["project"]
["property"]
["prudential"]
["public"]
["python"]
["quantitative"]
["recession"]
["regression"]
["regulation"]
["regulatory"]
["research"]
["revenue"]
["sample"]
["service"]
["shocks"]
["solvency"]
["sovereign"]
["spatial"]
["SPSS"]
["STATA"]
["statistical"]
["stocks"]
["structural"]
["supply"]
["survey"]
["tax"]
["technology"]
["text"]
["theory"]
["time series"]
["traffic"]
["transfer pricing"]
["transportation"]
["Unsupervised learning"]
["variable"]
["visualization"]
["wage"]
["workshop"]
["....."]