POLITSC 7552 – Quantitative Data Analysis II (with Cranmer):
“This course covers a full range of regression models with different types of outcome variables, inference, and prediction. The application is in R. Lectures are recorded in advance, so this course is ideal for people who are self-motivated and have confidence in learning on their own.”
POLITSC 7553 – Quantitative Data Analysis III (with Minozzi):
“This course covers experiments and statistical control to achieve causal inference as well as how machine learning can be used in this context. If you are interested in making claims in the counterfactual framework, this course serves as a foundation.”
POLITSC 7555 – Causal Mechanisms (with Braumoeller):
“This course covers a range of dynamic models that uncover the causal mechanisms of human behavior. Models include but are not limited to network models, system theory, feedback models, and spatial models. Uses R and Netlogo (ABM software).”
POLITSC 7702 – Survey and Questionnaire Design