Theory and practice of causal inference in political science research and policy impact evaluation. Students master how to test hypotheses and evaluate the substantive impacts of policy treatments using regression, experimental and survey techniques. Also develop skills in software applications such as Stata and R. Assigned texts assist learning of both the quantitative methods and how they are applied in practice and assignments emphasize practical applications. Prerequisites: Statistics 101 or higher; first semester of calculus (Mathematics 21, 111L or 121).
Political Science