Courses taught at the graduate level
Political Research Methods II
This seminar is an intermediate course on statistical analysis to make evidence-based claims in political science issues. The course is bookended by an introduction and review of research design, with a topical focus on the promises and perils of multivariate regression and generalized linear models.
Research Seminar I
This is the first quarter of a two-quarter research seminar designed to give students experience in the production of a research paper, with a focus on designing theoretically-informed, empirically-tested projects. The seminar is taught in a workshop format focusing on the individual research projects of each student. While not a formal prerequisite, each student is expected to have at least the beginning of a research proposal idea before starting the course.
Comparative Politics and Policy of Energy
This seminar is an introduction to the politics and policy of oil, gas, and other fuels in an international context, with a particular focus on countries in Africa, Asia, Latin America, the Middle East, and the former Soviet Union. Course topics include the fundamentals of oil and gas production and markets, the political and economic consequences of petroleum wealth (commonly referred to as the "resource curse"), resource nationalism and OPEC, and energy-related corruption.
Regression Methods for Policy Analysis
This class is the second course in a three-course quantitative methods sequence, with a focus on OLS multivariate regression and non-linear models with binary outcomes. Topics include research design, hypothesis testing, omitted variable bias, measurement error, missing data, diagnostics and issues related to model specification.
Courses taught at the undergraduate level
Introduction to Research in Political Science
This lecture is an introduction to research methods in political science. The goal of the course is to understand the processes that political scientists and social scientists in general use to test theories and discover patterns in data.