STAT 4255 Introduction to Statistical Learning

This course covers the classical statistical methods such as linear and logistic regressions as well as modern methods such as generalized additive models, decision trees, boosting, bagging, support vector machines, and neural networks (deep learning).

STAT 4525/5525 Sampling Theory

This course teaches mathematical and statistical reasoning behind sampling, aspects of inference from surveys, and the interplay with observational studies.