Teaching

At the University of Virginia, I teach courses in statistics, research design, and American politics on both graduate and undergraduate level. Below are short descriptions for the courses. Syllabi are available upon request.

PLAD 8500: Introduction to Bayesian Analysis. Graduate. Introduces students to the theory and practice of Bayesian data analysis. It starts from the core principles of Bayesian statistics and then applies these principles to estimate the parameters of common statistical models.

PLAD 8310: Regression Analysis. Graduate. Covers foundations and implementation of regression analysis in political science. Starts from linear regression and the ordinary least-squares (OLS) estimator and then proceeds to maximum likelihood estimation (MLE) and generalized linear models (GLMs).

PLAD 7500: Statistical Measurement. Graduate. Focuses on challenges that political scientists face in measuring unobservable concepts and the ways to overcome them. It briefly introduces measurement theory and then reviews the recent advances in literature on measurement methods for political science.

PLAD 7100: Mathematics for Political Science. Graduate. Reviews mathematical concepts and techniques to prepare first-year graduate students for the core sequence in statistics. It starts from the review of high-school level mathematics and then introduces students to calculus and linear algebra.

PLAP 4500: Polarization in American Politics. Undergraduate. A course on political polarization in the United States. It covers the debate on mass and elite ideological polarization, the phenomenon of affective polarization, the process of partisan sorting, and its sources as well as consequences.

PLAD 2222: Research Design in Political Science. Undergraduate. An introduction to research methods and quantitative analysis for political science. It covers theory construction, posing proper research questions, hypotheses formulation, and issues related to causal inference

I also had appointments as a teaching assistant at the University of Michigan and HSE University (Russia).