**Courses Taught**

__At the University of Notre Dame__

**POLS 30003 - After the Election: The First 100 Days (Undergraduate)**

It's the beginning of 2017 and a new president is getting ready to take office. This means staffing the administration, getting ready to send nominations for cabinet and other high-ranking positions (perhaps including a Supreme Court justice) to the Senate for possible confirmation, presenting his or her agenda to Congress, the bureaucracy, the American people, and the world during the inaugural address, and so much more. In this class, we will use the backdrop of the first hundred days of the new administration to examine the most powerful single office in the country. However, rather than viewing the presidency as a sequence of names and biographies, this course will analyze the American presidency as a political institution embedded in a network of often rival actors such as Congress, the courts, the bureaucracy, the electorate, and others. Students will not only be expected to acquire knowledge of substantive terms and concepts, but will also be expected to master analytical concepts and successfully apply them to applications in the realm of U.S. executive branch politics.

**POLS 30005 - The United States Congress (Undergraduate)**

This course is an introduction to the political and legislative process of the United States Congress. The course will focus on a semester-long legislative simulation in which students will play the role of United States Senators. Students will organize the legislature, form parties and caucuses, select their own leaders, draft their own bills, debate, and vote on legislation. The first part of the course will consist of traditional lectures to familiarize students with how Congress works; the rest of the semester will be primarily devoted to the legislative simulation.

**POLS 60810 - Quantitative Methods I (Graduate)**

This course provides an introduction to quantitative research methods in political science. After a brief discussion of the basics of statistical analysis and hypothesis testing, the first part of the course will focus on ordinary least squares (OLS) regression, its assumptions, and its extensions. In the second part of the course, we will focus on widely‐used methods that are appropriate when the assumptions of OLS are violated, and especially on limited dependent variable models. We will try to strike a balance between theory and mathematics on the one hand and the practical application and interpretation of statistics on the other hand. We will discuss the theoretical rationale behind and mathematical underpinnings of various statistical methods, how to apply those methods to real political questions, and how to conduct and interpret analyses using a standard statistical package.

**POLS 60833 - Math for Political Scientists (Graduate)**

In order to understand quantitative and game theoretic work in political science, it is necessary to have a basic understanding of a few mathematical concepts. Topics covered in this course include probability, set theory, logic, matrix algebra, logarithms, exponents, calculus, and frequently used distributions. Learning math is like learning a language, so this course emphasizes short problem sets for each class as well as larger projects designed to pull together disparate skill sets.

**POLS 60837 - Maximum Likelihood Estimation and Limited Dependent Variables (Graduate)**

This course presents an overview of some regression-based methods widely used in political science today. The emphasis of the course is on models where the traditional assumptions of ordinary least-squares regression are violated, primarily in a cross-sectional context and because the dependent variable is non-continuous. The course will focus on maximum likelihood estimation of models of various kinds of limited-dependent and qualitative response variables. Specific topics covered will include binary response models, ordered response models, multinomial response models, event count models, duration models, censored/truncated regression models, and selection models. Throughout, we will focus on understanding the theoretical underpinnings of the various models and developing and evaluating applications of them to substantive problems in political science. Students will be asked to do data analysis exercises, to evaluate published research relying on quantitative techniques, and to do a research project on a topic of their own choosing.

**POLS 60880 - Applied Game Theory (Graduate)**

This course will introduce you to the systematic study of social, political and economic interactions, where the optimal course of one person's action, depends on the options and preferences of other people involved in the interaction. You we will learn how to model strategic situations in the language of mathematics, and how to make equilibrium predictions. We will cover several basic equilibrium concepts, including Nash, Subgame Perfect Nash, and Perfect Bayesian.

__At the University of Georgia__

**PADP 6950 - Foundations of Policy Analysis (Graduate)**

This is a course in microeconomic analysis that provides broad exposure to the fundamental economic tools of policy analysis. While competitive markets are often efficient, there are many barriers to perfectly functioning markets that lead to the need for public policy. Ultimately, the goal of the course is to lead students to appreciate the economic method of thought—assuming rational agents respond predictably to incentives in order to allocate the scarce resources at their disposal as seems “best” to them—and how this method can be a widely useful tool for assessing the need for, and likely impact of, public policy.

**PADP 8120 - Data Analysis and Statistics (Graduate)**

This course provides students an opportunity to develop quantitative analysis skills that can be applied to social science research questions. We will discuss the methods used to collect quantitative evidence and to analyze quantitative data. Topics will include sampling, descriptive statistics, probability distributions, confidence intervals, hypothesis testing, comparison of means, ordinary least squares, dealing with violations of the underlying assumptions of multiple regression, and dichotomous choice models. I will also provide an introduction to the R software for statistical analysis.

**PADP 8130 - Linear Models (Graduate)**

This course is an introduction to the theory and application of linear modeling to economic and policy problems. The focus of this class will be to provide you with the theoretical and practical skills necessary to conduct your own empirical research. Topics will include ordinary least squares, hypothesis testing, dealing with violations of the underlying assumptions of multiple regression, instrumental variables estimation, simultaneous equations, and panel data techniques. I will also provide an introduction to the R software package for statistical analysis.