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Confirmed courses - FINAL LIST

Updated 12 December 2018

If you are taking more than one course, do not book your travel and accommodation until all courses are confirmed.

Please note the software and hardware requirements in the course outline. Some courses require software to be pre-installed on your own laptop. To find out more, click on the course code number and read the outline, which also contains contact details for the Instructor.

If a course is fully booked email us to be added to a waiting list.

Confirmed Short courses

Course code Course title Friday Saturday
WA101 Philosophy and Methodology of the Social Sciences 13:00–18:00 09:00–17:30
WA102 Foundations of Set-Theoretic and Case-Oriented Thinking and Methodology 13:00–18:00 09:00–17:30
WA103 Tools for the Analysis of Complex Social Systems: An Introduction 13:00–18:00 09:00–17:30
WA104 Programming in LaTeX for Social Scientific Document Preparation 13:00–18:00 09:00–17:30
WA105 Automated Web Data Collection with R 13:00–18:00 09:00–17:30
WA106A Introduction to R (entry level) 13:00–18:00 09:00–17:30
WA106B Introduction to R (for participants with some prior knowledge in command-line programming) 13:00–18:00 09:00–17:30
WA107 Introduction to Stata 13:00–18:00 09:00–17:30
WA109 Regression Refresher (before you take a more advanced stats course) 13:00–18:00 09:00–17:30
WA110 Discourse Network Analysis (DNA) 13:00–18:00 09:00–17:30
WA112 Maximum Likelihood Estimation 13:00–18:00 09:00–17:30
WA114 Introduction to NVivo for Qualitative Data Analysis 13:00–18:00 09:00–17:30
WA115 Introduction to MAXQDA a Qualitative and Mixed Methods Data Analysis Software 13:00–18:00 09:00–17:30
WA116 Vignette Methods in Interpretive Research 13:00–18:00 09:00–17:30

Confirmed Main courses

Course code Course title Time
WB101 Working with Concepts in the Social Sciences 09:00–12:30
WB102 Comparative Research Designs 14:00–17:30
WB103 Comparative Historical Analysis 14:00–17:30
WB104 Introduction to Process Tracing 14:00–17:30
WB105 Introduction to Qualitative Interpretive Methods 09:00–12:30
WB107 Linear Regression with R/Stata: Estimation, Interpretation and Presentation 14:00–17:30
WB108 Introduction to Statistics for Political and Social Scientists Workshop All Day
WC101 Qualitative Interviewing Workshop All Day
WC103 Online Qualitative Methods and Virtual Ethnography 14:00–17:30
WC104 Survey Design 09:00–12:30
WC105 Python Programming for Social Sciences: Collecting, Analyzing and Presenting Social Media Data 09:00–12:30
WD101 Introduction to Quantitative Text Analysis 09:00–12:30
WD102 Introduction to Applied Social Network Analysis 14:00–17:30
WD103 Introduction to Qualitative Comparative Analysis (QCA) 09:00–12:30
WD201 Writing Ethnographic and Other Qualitative-interpretive Research: Learning by Reading 09:00–12:30
WD202 Advanced Qualitative Data Analysis 09:00–12:30
WD203 Advanced Process-tracing Workshop All Day
WD204 Advanced Topics in Set-Theoretic Methods and QCA 14:00–17:30
WD205 Advanced Multi-Method Research 09:00–12:30
WD206 Logistic Regression and General Linear Models 14:00–17:30
WD208 Inferential Network Analysis 09:00–12:30
WD209 Introduction to Bayesian Inference 09:00–12:30
WD210 Panel Data Analysis 14:00–17:30
WD211 Methods of Modern Causal Analysis Based on Observational Data 09:00–12:30
WD213 Multilevel Regression Modelling 14:00-17:30
WD214 Structural Equation Modelling (SEM) with R 09:00–12:30
WD215 Times Series Analysis 14:00-17:30
WD216 Advanced Sequence Analysis 09:00–12:30
WD217 Event History and Survival Analysis 09:00–12:30
WD218 Introduction to Machine Learning for the Social Sciences 14:00-17:30

"...the good of man must be the objective of the science of politics" - Aristotle

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