MATH 156 | Last taught Fall 2021
MATH 156 is designed for students with a solid background in linear algebra and multivariable calculus who want to understand the mathematics that underlies data analysis. In analyzing several real-world datasets each week, it puts equal emphasis on classical statistical techniques, which rely on the central limit theorem and related mathematical results, and on modern resampling techniques such as permutation tests and bootstrapping, that achieve similar results by brute-force computation using the R scripting language. Because the course is devoted entirely to the goals of the QRD, students will have enough time to become expert in writing data analysis software that can run on any operating system and browser, while also becoming able to prove all the theorems on which their analysis relies.