**Summer 2017**

**R Camp: MTWThF 9am-noon**

R Camp is a week-long introduction to R. R Camp takes students from having no knowledge of R to, by the end of the week, being able to input and manage data, produce summary statistics and basic data visualizations, run ordinary least squares (OLS) linear models and diagnostics, implement basic linear algebra, and understand some of the fundamentals of programming, including for loops and conditional statements. More concisely: by the end of one week, students should be able to reproduce most if not all of the work they did in their first year of graduate school using R. R Camp is intended for graduate students and faculty with little to no experience in R or computer programming, although those with more advanced knowledge are welcome. The schedule for the class is available here. R script, data, and other course materials are available here.

**Spring 2017**

**POL 4010: Advanced Political Data Analysis (Lecture: MW 9:45-11:15, Lab: M 12:20-1:10)**

POL 4010 will teach students how to use statistical methods to answer a wide variety of questions related to political science. This class picks up where POL 3085 leaves off -- while POL 3085 focuses on research design and covers linear regression, many of the phenomena we seek to explain in political science are not continuous variables and thus are not suited to linear regression. Accordingly, this class focuses on how to test hypotheses where the dependent variable is dichotomous (Does civil war break out or not?), ordered categories (How do people feel about free trade? Strongly support? Support? Strongly oppose?), unordered categories (Which party do citizens affiliate with?), counts (How many deaths result in war?), and more. As statistical literacy and communication are increasingly sought-after skills in the workplace, assignments in the class focus on how to convey statistical results in many different ways, ranging from technical reports to blog posts to personal communication. Additionally, throughout the course, students will learn and improve their skills in the R statistical software package. Prior knowledge of R is not required. This class is especially recommended for students completing an undergraduate thesis with a quantitative component as well as students who want to pursue graduate studies in political science.

**POL 3833: The United States and the Global Economy (Lecture: TTh 8:15-9:30)**

Globalization has been a defining force driving markets - and, hence, shaping politics - over the past 20 years. Global financial flows and imbalances are implicated in financial crises both recent and past, and the mobility of firms and migrants across international borders has important distributional and regulatory consequences. Yet, the impact of the U.S. on the global economy is not exclusive to purely financial phenomena: conflict and peace, technological innovation, natural resources, and economic development are all affected as rising levels of trade create new "winners" and "losers." This class examines some of the broad themes that characterize globalization with a focus on - but not only on - the U.S. and the ways in which its policy responses shape and are being shaped by globalization.

Fall 2016

POL 3085H: Quantitative Analysis in Political Science

**POL 8160: Maximum Likelihood Estimation**

**Math Camp 2016**

Resources

From Counting to Multivariate Calculus in Five Minutes (video)

Understanding Derivatives (in R)

Mean Value Theorem and Rolle's Theorem (in R)

Visualizing Definite Integrals as Limit of a Riemann Sum: A Tool for People Who Can't Draw (in R)

**Resources**

LaTeX problem set template

**For all classes**Helpful books

Naked Statistics: Stripping the Dread from the Data by Charles Wheelan

How Not To Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg

Political Analysis Using R by James E. Monogan III (for MLE)

Supplementary Materials

Central Limit Theorem: A Brief Tutorial (in R)

Some basic R help for using the distribution functions and base graphics (link to download .R file)

Visualizing Definite Integrals as Limit of a Riemann Sum: A Tool for People Who Can't Draw (in R) (interactive)

Exploring the Logic Behind the Delta-Epsilon Proof (in R) (interactive)

The Intuition Behind the Mean Value Theorem (in R)

Sequences and Convergence