Preceptor; Prof. Omar Wasow

Description: In a world awash in data, how can we identify signals amid the noise? This course focuses on developing an intuition for statistics and applying it through data analysis, regression models and a final project. We will wrestle with what makes a good research question, play with data to…

Preceptor, Guest Lecturer; Prof. Lauren Wright

Description: Topics to be covered include the origin, nature, uses and limits of presidential power; the presidential selection process; the relationship between the President and other significant political actors--Congress, the Press, executive branch agencies, and the public;…

Preceptor; Prof. Michael Guerzhoy

Description: Introduction to Data Science provides a practical introduction to the burgeoning field of data science. The course introduces students to the essential tools for conducting data-driven research, including the fundamentals of programming techniques and the essentials of statistics…

Quantlab Coordinator; Prof. Will Lowe

Description: “Visualizing Data" (POL 245) is a precept-based course in which students work together to consider ways to illustrate compelling stories hidden in a blizzard of data. Equal parts art, programming, and statistical reasoning, data visualization is a critical tool for anyone…

Participant; Prof. Sarah Schwarz

Description: Open to graduate students from all disciplines who have already taught (or will teach during the seminar semester) at Princeton. The course engages in critical discussions of current scholarship in the fields of learning and pedagogy, with opportunities to apply new pedagogical…

Preceptor; Prof. Marc Ratkovic.

Description: Would universal health insurance improve the health of the poor? Do patterns of arrests in US cities show evidence of racial profiling? What accounts for who votes and their choice of candidates? This course will teach students how to address these and other social science…