Math & Stats for Poli Sci
6:10pm–7:25pm
PUPIN LABORATORIES PUP 425
Morningside
Seat data provenance: Directory as of September 29, 2026 at 4:00 AM
Description
This course presents basic mathematical and statistical concepts that are essential for formal and quantitative analysis in political science research. It prepares students for the graduate-level sequence on formal models and quantitative political methodology offered in the department. The first half of the course will cover basic mathematics, such as calculus and linear algebra. The second half of the course will focus on probability theory and statistics. We will rigorously cover the topics that are directly relevant to formal and quantitative analysis in political science such that students can build both intuitions and technical skills. There is no prerequisite since this course is ordinarily taken by Ph.D. students in their first semester. The course is aimed for both students with little exposure to mathematics and those who have taken some courses but wish to gain a more solid foundation. NOTE: This course does not satisfy the Political Science Major/Concentration research methods requirement
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Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 4 credits
Reported workload
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