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Fall 2026

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7 courses

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

COMPSCI/MATH 714

Methods of Computational Mathematics I

3 credits

Methods of Computational Mathematics I covers finite difference and volume methods for PDEs, analyzing accuracy and stability, and solving linear systems.

Offering recorded · Fall 2026

One historical review describes the load as not heavy, while others do not specify workload intensity.

Yue Sun

historical GPA · grades

Fall 2022–Fall 2025
MATH 234

Calculus--functions of Several Variables

4 credits

Introduction to calculus of functions of several variables, covering parameterized curves, derivatives, multiple integrals, and vector calculus.

Offering recorded · Fall 2026

Historical reviews of Alexander Hanhart, Joel Robbin, Mikhail Feldman: Alexander Hanhart assigns time-consuming homework, while Mikhail Feldman's quizzes are comically hard despite exams matching the textbook. Joel Robbin also gives long assignments.

Cassie WilliamsMaurice Fabien+20 more

historical GPA · grades

Spring 2022–Spring 2026
MATH 535

Mathematical Methods in Data Science

3 credits

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.

Thu Le

historical GPA · grades

Spring 2022–Spring 2026
MATH 699

Directed Study

1–6 credits

MATH 699 offers directed study projects arranged with a faculty member.

Offering recorded · Fall 2026

Thierry LaurensMaurice Fabien+3 more

historical GPA · grades

Spring 2022–Spring 2022 · limited sample
MATH 717

Stochastic Computational Methods

3 credits

MATH 717 introduces computational methods using stochastic algorithms for random mathematical problems, covering Monte Carlo, Bayesian inference, and SDEs.

Offering recorded · Fall 2026

Nan Chen

historical GPA · grades

Fall 2022–Fall 2025

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