Introduction to mathematical statistical inference, focusing on likelihood, estimation, and hypothesis testing.
Offering recorded · Fall 2026
The course is described as difficult and intense, with long homeworks, high-stakes exams, and a significant gap between lecture content and test material.
Applied Regression Analysis covers linear regression for prediction and interpretation, including feature selection, assumption checking, and extensions like mixed and generalized linear models using R.
Offering recorded · Fall 2026
Weekly homework is described as long and unrelated to lectures, while the final project is considered very important and strictly graded. Students report dealing with shifting deadlines and vague test questions that rely on the professor's interpretation.
Turns statistics concepts into practice through data science practicums inspired by realistic projects.
Offering recorded · Fall 2026
Historical reviews of Hyunseung Kang: The class is a lot of work, with grades heavily dependent on randomly assigned group projects and unclear grading criteria.
STAT 992 is a graduate-level seminar covering special topics in statistics, with subject matter varying by offering.
Offering recorded · Fall 2026
Historical reviews of Joshua Cape: The review does not specify workload or difficulty, only noting the material is delivered in an easy-to-understand way.