This course is designed to prepare incoming Politics Ph.D. students for POL 502 (Mathematics for Political Scientists) and other coursework in Formal & Quantitative Methods. It covers the fundamentals of calculus, probability theory, linear algebra, and real analysis.

The course consists of two parts. The summer…

Over the last decade, both the variety and amount of data available to social scientists have expanded. These new data sources include administrative records e.g., voter files, campaign finance and lobbying records, geo-referenced data e.g., satellite maps, geocoded event data, and texts e.g., speeches, court rulings,…

The Advanced Statistical Programming Camp builds on the Introductory Camp by expanding the computing toolsets of researchers beyond base R.  The camp provides tools which can help analyze big datasets, e.g. voter files across many states, micro-level international trade data, large federal personnel databases, and employ…

This camp will prepare students for POL 572 and other quantitative analysis courses offered in the Politics department and elsewhere. Although participation in this camp is completely voluntary, the materials covered in this camp are a pre-requisite for POL 572. Students will learn the basics of statistical programming using…