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ECPR

Install the app

Install this application on your home screen for quick and easy access when you’re on the go.

Just tap Share then “Add to Home Screen”

Confirmed Courses

Updated 06 June 2019

THIS IS THE FINAL LIST OF CONFIRMED COURSES.

Due to popularity, we are offering a second R Basics course. If you would like to take this course please email us.

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 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

SA101

R Basics

13:00–18:00 09:00–17:30

SA102

Python Programming for Social Scientists: Big Data, Web Scraping and Other Useful Programming Tricks

13:00–18:00 09:00–17:30

SA105

Introduction to Exploratory Network Analysis

13:00-18:00

09:00-17:30

SA106

Introduction to NVivo for Qualitative Data Analysis

13:00–18:00 09:00–17:30

SA103

Introduction to STATA

13:00-18:00

09:00-17:30

SA104

Refresher in Regression (before you take a more advanced stats class)

13:00-18:00

09:00-17:30

SA107

Introduction to Case-Based Research and Set-Theoretic Thinking

13:00-18:00

09:00-17:30

Confirmed Main courses

Course code Course title Week Time

SB101

Introduction to Historical Methods

Second Week

09:00-12:30

SB102

Introduction to Interpretive Research Designs: From Research Question to Research Proposal

First Week

09:00-12:30

SB103

Multi-Method Research: Techniques and Applications

First Week 14:00–17:30

SB104

Methods in Political Theory and Normative Analysis

Second Week 09:00-12:30

SB105

Case Study Research: Method and Practice

Two Week

09:00-12:30

SB106

Introduction to Process Tracing Methodology

First Week

09:00-12:30

SB107

Process Tracing Methodology in Practice

Second Week

09:00-16:30

SB108

Qualitative Comparative Analysis and Fuzzy Sets

Two Week

14:00–17:30

SB109

Longitudinal Research Designs - Qualitative Approaches

Second Week

14:00–17:30

SB111

Experimental Research: Theory Development, Hypothesis Generation and Empirical Tests

Second Week

14:00–17:30

SB112A

Causal Inference in the Social Sciences I: Randomised Controlled Trials and Matched Designs

First Week

09:00-12:30

SB112B

Causal Inference in the Social Sciences II: Difference in Difference, Regression Discontinuity and Instruments

Second Week 09:00-12:30

SC101

Expert Interviews for Qualitative Data Generation

Second Week 09:00-16:30

SC102

Visual Politics, Visual Organisations

First Week

09:00-12:30

SC103

Ethnographic and Other Field Research Methods: Introduction

First Week

14:00–17:30

SC104

Ethnographic and Other Field Research Methods: Advanced

Second Week

14:00–17:30

SC105

Automated Collection of Web and Social Data

First Week

14:00–17:30

SC106

Introduction to Machine Learning for the Social Sciences

Second Week

14:00–17:30

SC107

Survey and Questionnaire Design

Second Week 09:00-12:30

SD001

Introduction to Inferential Statistics: What you need to know before you take regression

First Week

09:00-12:30

SD002

Multiple Regression Analysis: Estimation, Diagnostics, and Modelling

Second Week

14:00–17:30

SD101A

Qualitative Data Analysis: Concepts and Approaches AM FULLY BOOKED

First Week

09:00-12:30

SD101B

Qualitative Data Analysis: Concepts and Approaches PM

First Week

14:00–17:30

SD102A

Analysing Political Discourse I: Theories, Concepts and Research Designs

First Week

09:00-12:30

SD102B

Analysing Political Discourse II: Analyses and Applications

Second Week

09:00-12:30

SD103

Introduction to Quantitative Text Analysis FULLY BOOKED

First Week

09:00-12:30

SD104

Multivariate Statistical Techniques for Comparing Countries

Two Week

09:00-12:30

SD105

Introduction to Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes

First Week

09:00-12:30

SD106

Social Networks: Theoretically Informed Analysis with UCINET

First Week 09:00-12:30

SD107

Intermediate R: Capacities for Analysis and Visualisation

First Week 14:00–17:30

SD201

Advanced Quantitative Text Analysis

Second Week

09:00-12:30

SD202

Advanced Topics in Applied Regression

Second Week

14:00–17:30

SD203

Applied Multilevel Regression Modelling

Two Week

09:00-12:30

SD204

Social Network Analysis and Visualization with R

Second Week

09:00-12:30

SD205

Introduction to Structural Equation Modelling

Two Week

09:00-12:30

SD206

Panel Data Analysis

First Week 14:00–17:30

SD302

Multilevel Structural Equation Modelling

Second Week

09:00-12:30

SE101

Maths for Social Scientists

First Week

08:00-08:50

SE102

Knowing and the Known: The Philosophy and Methodology of the Social Sciences

Second Week

08:00-08:50


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