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Fall 2026

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10 courses

Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.

COMPSCI 682 is an individual study course for seniors completing honors theses in Computer Sciences, arranged with a faculty member.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2022 · limited sample

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 2026

MATH 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 2026

Introduction 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

Theory of Probability I introduces measure theoretic probability and stochastic processes.

Offering recorded · Fall 2026

Historical reviews of Hao Shen, Jun Yin: Jun Yin's materials were hard with a weird curve, while Hao Shen was very test-heavy and did not provide proper preparation for exams.

historical GPA · grades

Fall 2022–Fall 2025

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