ProfessorJos Dornschneider-Elkink

Over the years, I have developed and taught the following modules:

Chinese Politics: Optional undergraduate module providing an introduction to the contemporary Chinese political system.

Political Networks: Optional undergraduate module discussing the nature and impact of networks in politics in a wide range of domains, including patronage networks, interlocking directorate networks, policy diffusion, and so forth.

Programming for Social Scientists: Masters level module providing an introduction to Python programming for social scientists, with inter alia an introduction to social simulation.

Data Analytics for the Social Sciences: Optional introduction to applied statistical analysis and data analytics for undergraduate students, combining linear models and the generalized linear model with more recent advances in data science. Focused on application and interpretation.

Introduction to Statistics: Introduction to statistics for masters students, from basic data management to the first steps in multiple regression analysis.

Introductory Quantitative Methods: PhD level introduction to statistics, from basic data management to the first steps in multiple regression analysis, using R.

Advanced Quantitative Methods: PhD level module containing an introduction to econometrics through the study of Ordinary Least Squares and extensions, as well as a basic introduction to Maximum Likelihood and limited dependent variable models.

Bayesian Inference: One day workshop on Bayesian statistical inference using Stan.

Foundations of Political Research: Core research methodology module for first year undergraduate students in politics and international relations, focusing on general concerns of research design, survey research, basic visualisation techniques, and an overview of common qualitative methodologies.

Approaches to Analysing Politics: Core research methodology module for undergraduate students in politics and international relations, including general concerns of research design, quantitative methodologies, and qualitative methods.

Methodology for the Social Sciences: PhD level module on research design, including theory formation, causal inference, and philosophy of social science.

Research Design: Masters level module on research design, including theory formation, causal inference, and a limited discussion of philosophy of social science.

Democratization: Masters level module in comparative democratization studies.

See http://www.joselkink.net/teaching.php for a detailed overview.