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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.
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 | |
Introduction to STATA |
13:00-18:00 |
09:00-17:30 |
|
Refresher in Regression (before you take a more advanced stats class) |
13:00-18:00 |
09:00-17:30 |
|
Introduction to Case-Based Research and Set-Theoretic Thinking |
13:00-18:00 |
09:00-17:30 |
Course code | Course title | Week | Time |
---|---|---|---|
Introduction to Historical Methods |
Second Week |
09:00-12:30 |
|
Introduction to Interpretive Research Designs: From Research Question to Research Proposal |
First Week |
09:00-12:30 |
|
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 |
|
Process Tracing Methodology in Practice |
Second Week |
09:00-16:30 |
|
Qualitative Comparative Analysis and Fuzzy Sets |
Two Week |
14:00–17:30 |
|
Longitudinal Research Designs - Qualitative Approaches |
Second Week |
14:00–17:30 |
|
Experimental Research: Theory Development, Hypothesis Generation and Empirical Tests |
Second Week |
14:00–17:30 |
|
Causal Inference in the Social Sciences I: Randomised Controlled Trials and Matched Designs |
First Week |
09:00-12:30 |
|
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 | |
Visual Politics, Visual Organisations |
First Week |
09:00-12:30 |
|
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 FULLY BOOKED |
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 FULLY BOOKED |
First Week |
09:00-12:30 |
|
Multivariate Statistical Techniques for Comparing Countries |
Two 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 |
|
Applied Multilevel Regression Modelling |
Two Week |
09:00-12:30 |
|
Social Network Analysis and Visualization with R |
Second Week |
09:00-12:30 |
|
Introduction to Structural Equation Modelling |
Two Week |
09:00-12:30 |
|
Panel Data Analysis |
First Week | 14:00–17:30 | |
Multilevel Structural Equation Modelling |
Second Week |
09:00-12:30 |
|
Maths for Social Scientists |
First Week |
08:00-08:50 |
|
Knowing and the Known: The Philosophy and Methodology of the Social Sciences |
Second Week |
08:00-08:50 |