ECPR Summer School
Central European University, Budapest
27 July - 12 August 2017




Confirmed Courses

Updated 25 May 2017

 

The course confirmation deadline was 25 May, however the Academic Convenors have decided to extend the decision for the following courses. We hope to have a decision within the next two-weeks.

 

Code Course Instructor
SA101 Philosophy and Methodology of the Social Sciences Patrick Jackson
SA105 Python Programming for Social Scientists: Big Data, Web Scraping and Other Useful Programming Tricks Brian Fabo
SA107 Introduction to Mplus Levente Littvay
SA108 Introduction to LaTeX Bruno Castanho e Silva
SA109 Gentle Introduction to Bayesian Statistics Juraj Medzihorsky
SA111 Effective Data Management with R Constantin Manuel Bosancianu
SB101 Introduction to Relational Social Science - Pragmatic Analytics Patrick Jackson
SD205 Time Series Analysis David Pupovac
SD302 Multilevel Structural Equation Modelling Bruno Castanho e Silva
SB103 Introduction to Interpretive Research Designs Peregrine Schwartz-Shea
SC102B Field Research II: Issues in Political, Policy, and Organizational Ethnography and Participant Observation Dvora Yanow
SD105 Intro to GLM: Binary, Ordered and Multinomial Logistic, and Count Regression Models Federico Vegetti
SD202 Network Visualisation in GEPHI Balázs Vedres
SD303 Advanced Structural Equation Modelling Levente Littvay
SD304 Gentle Introduction to Machine Learning for the Social Sciences Bruno Castanho e Silva
SD203 Introduction to Structural Equation Modelling Jochen Mayerl
SS01 Quantitative Methods Workshop

Tamas Rudas

 

 

 

 

 

 

 

 

The following courses have now been confirmed, subject to the minimum number of participants being maintained.

Participants with more than one course should wait until all their courses are confirmed before booking their travel and accommodation. When ready to do so, the Travel and Accommodation pages contain useful information for travelling to, and staying in Budapest.

Once course/s are confirmed please note the software and hardware requirements listed in the course outline; some courses require participants to attend with software pre-installed on their own laptop. For more information about course requirements please contact the Instructor (by clicking on the course code below you will be redirected to the course outline).

Refresher Courses

Code Course Instructor
SA102 R Basics Martin Mölder
SA104 Stats Refresher using SPSS Elena Cristina Mitrea
SA106 Introduction to STATA Oana Lup
SA110 Introduction to Exploratory Network Analysis Silvia Fierăscu
SA112 Introduction to NVivo for Qualitative Data Analysis Marie-Hélène Paré

 

Main Courses - First Week

Code Course Instructor
SB106 Program Evaluation and Impact Assessment Dániel Horn
SB109A Process Tracing Methodology I – Foundations and Guidelines Rasmus Brun Pedersen
SB110 Longitudinal Research Designs - Qualitative Approaches Erin Jenne
SB113 Introduction to Experimental Research in the Social Sciences Federico Vegetti
SB116 Introduction to GIS: Geospatial Technologies for the Social Sciences Viktor Lagutov
SC101 Expert Interviews for Qualitative Data Generation Alenka Jelen-Sanchez
SC102A Field Research I: Practical Introduction to Ethnographic Fieldwork Cai Wilkinson
SC103 Automated Collection of Web and Social Data Pablo Barberá
SD001A Introduction to Inferential Statistics: What you need to know before you take regression Levente Littvay
SD101A Qualitative Data Analysis: Concepts and Approaches - FULLY BOOKED - email methodsschool@ecpr.eu to be added to the waiting list Marie-Hélène Paré
SD103 Introduction to Manual and Computer-Assisted Content Analysis Kostas Gemenis
SD106 Theoretically Informed Network Analysis for Social Scientists Balázs Vedres
SD107 Intermediate R: Capacities for Analysis and Visualisation Martin Mölder
SD204 Advanced Topics in Applied Regression Constantin Manuel Bosancianu

 

Main Courses - Second Week

Code Course Instructor
SB104 Applied Mixed Methods Research Erin Jenne
SB105 Methods in Political Theory and Normative Analysis Andres Moles
SB109B Process Tracing Methodology II – Evidence and Empirical Testing in Practice Hilde Van Meegdenburg
SB112 Causal Inference in the Social Sciences Dániel Horn
SB114 Applied Experimental Research John Jost
SC104 Big Data Analysis in the Social Sciences Pablo Barberá
SD001B Multiple Regression Analysis: Estimation, Diagnostics, and Modelling Michael Dorsch
SD101B Qualitative Data Analysis: Concepts and Approaches Marie-Hélène Paré
SD206 Panel Data Analysis David Pupovac

 

Main Courses - Two Week

Code Course Instructor
SB108 Case Study Research: Method and Practice Ingo Rohlfing
SB111 Qualitative Comparative Analysis and Fuzzy Sets Patrick Mello and Carsten Schneider
SD104 Multivariate Statistical Analysis and Comparative Crossnational Surveys Data Bruno Cautres
SD201 Applied Multilevel Regression Modelling Zoltán Fazekas

 

 

"Those who would give up essential Liberty, to purchase a little temporary Safety, deserve neither Liberty nor Safety." - Benjamin Franklin


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