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Updated 22 May 2019
If you are taking more than one course, do not book your travel and accommodation until all courses are confirmed.
Courses are confirmed when they reach a predetermined number of paid participants. The earlier you pay, the earlier a course is likely to be confirmed and listed here. If a course does not attract enough participants, it might be cancelled. If this happens, we will offer you a place on another course of your choice, or a full refund. We aimed to make a decision about all courses by the end of May, but the final decision will now be made 4 June.
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.
| Course code | Course title | Friday | Saturday |
|---|---|---|---|
|
R Basics |
13:00–18:00 | 09:00–17:30 | |
|
Python Programming for Social Scientists: Big Data, Web Scraping and Other Useful Programming Tricks |
13:00–18:00 | 09:00–17:30 | |
|
Introduction to Exploratory Network Analysis |
13:00-18:00 |
09:00-17:30 |
|
|
Introduction to NVivo for Qualitative Data Analysis |
13:00–18:00 | 09:00–17:30 | |
| Course code | Course title | Week | Time |
|---|---|---|---|
|
Multi-Method Research: Techniques and Applications |
First Week | 14:00–17:30 | |
|
Methods in Political Theory and Normative Analysis |
Second Week | 09:00-12:30 | |
|
Case Study Research: Method and Practice |
Two Week |
09:00-12:30 |
|
|
Introduction to Process Tracing Methodology |
First Week |
09:00-12:30 |
|
|
Qualitative Comparative Analysis and Fuzzy Sets |
Two Week |
14:00–17:30 |
|
|
Longitudinal Research Designs - Qualitative Approaches |
Second Week |
14:00–17:30 |
|
|
Causal Inference in the Social Sciences II: Difference in Difference, Regression Discontinuity and Instruments |
Second Week | 09:00-12:30 | |
|
Expert Interviews for Qualitative Data Generation |
Second Week | 09:00-16:30 | |
|
Ethnographic and Other Field Research Methods: Introduction |
First Week |
14:00–17:30 |
|
|
Ethnographic and Other Field Research Methods: Advanced |
Second Week |
14:00–17:30 |
|
|
Automated Collection of Web and Social Data |
First Week |
14:00–17:30 |
|
|
Introduction to Machine Learning for the Social Sciences |
Second Week |
14:00–17:30 |
|
|
Survey and Questionnaire Design |
Second Week | 09:00-12:30 | |
|
Introduction to Inferential Statistics: What you need to know before you take regression |
First Week |
09:00-12:30 |
|
|
Multiple Regression Analysis: Estimation, Diagnostics, and Modelling |
Second Week |
14:00–17:30 |
|
|
Qualitative Data Analysis: Concepts and Approaches AM |
First Week |
09:00-12:30 |
|
|
Qualitative Data Analysis: Concepts and Approaches PM |
First Week |
14:00–17:30 |
|
|
Analysing Political Discourse I: Theories, Concepts and Research Designs |
First Week |
09:00-12:30 |
|
|
Analysing Political Discourse II: Analyses and Applications |
Second Week |
09:00-12:30 |
|
|
Introduction to Quantitative Text Analysis |
First Week |
09:00-12:30 |
|
|
Introduction to Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes |
First Week |
09:00-12:30 |
|
|
Social Networks: Theoretically Informed Analysis with UCINET |
First Week | 09:00-12:30 | |
|
Intermediate R: Capacities for Analysis and Visualisation |
First Week | 14:00–17:30 | |
|
Advanced Quantitative Text Analysis |
Second Week |
09:00-12:30 |
|
|
Advanced Topics in Applied Regression |
Second Week |
14:00–17:30 |
|
|
Social Network Analysis and Visualization with R |
Second Week |
09:00-12:30 |
|
|
Panel Data Analysis |
First Week | 14:00–17:30 | |