Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
Introduction to stochastic processes covering Markov chains, point processes, and renewal theory with applications to queueing and branching models.
Offering recorded · Fall 2026
Seppalainen assigns challenging homework that is harder than exams, while Valko uses a grading scheme based on multiple weighted components rather than heavy testing.
historical GPA · grades
Spring 2022–Spring 2026MATH 535 teaches mathematical methods for data science, including matrix factorizations, optimization, and probabilistic models.
Offering recorded · Fall 2026
Historical reviews of Hanbaek Lyu, Sebastien Roch: Reviewers describe the homework and exams as challenging, with some noting that the course feels like a proof-heavy extension of linear algebra rather than a data science course.
historical GPA · grades
Spring 2022–Spring 2026Introduction to the theory of probability covering axioms, distributions, and limit theorems
Offering recorded · Fall 2026
Historical reviews of Benedek Valko, Erik Bates: Workload varies by instructor; one review cites an extremely challenging final, while another notes fair homework and adjusted exam weights to reward improvement.
historical GPA · grades
Spring 2022–Spring 2026