Introduction to Quantitative Methods (graduate)
• Fall (2019, 2020, 2021, 2025)
This is the first course in the quantitative methods sequence for Ph.D. students in Political Science at Notre Dame. It provides a foundation of knowledge to draw from as students continue the methods sequence, take specialized and advanced courses or want to apply or self-learn new methods. The material is designed to make students more comfortable speaking the “language” of quantitative research and to be conversant with research using formal theory. The bulk of the learning takes place outside of the classroom by reading, coding, analyzing data, completing assignments and exams. The first part of the course provides a hands-on introduction to quantitative data analysis using R. The second part of the course takes a step back to build up some mathematical foundation for engaging with cutting edge political science. We cover calculus, optimization, and linear algebra (and, while we are at it, will try to learn some more R). The third and last part of the course focuses on probability theory and statistical inference, closing with a regression primer.