84-700 IPS Quantitative Methods Master's Bootcamp

6 units, Carnegie Mellon University

This course will cover the fundamentals of research design, math, probability and statistics, and programming necessary to be successful in the Regression Analysis in Political Science I and II courses offered in the Institute for Politics and Strategy. It will offer an introduction to the major issues of causal inference and research design in the social sciences, as well as the fundamental mathematics which underpin statistical modeling such as calculus, linear algebra, and probability theory. To facilitate students ability to use programming to analyze data, the course will also introduce programming and data management basics in R. The class will use a combination of lecture, inclass exercises, and homework to facilitate engagement and learning in these areas. Students who complete the course will have a strengthened baseline and familiarity with these ideas, allowing them to excel in subsequent quantitative coursework in the department.

Prerequisites: none listed

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