GPA and percentages are weighted by recorded letter grades. UW
comparisons use the same terms. Cross-listed courses count once within
this department and once across UW; department totals should not be
added together. Grade counts are not unique students. Offering counts
reflect captured records, not a complete historical schedule.
Fall 2026
Recorded this term
7272courses with offerings
213213instructors recorded
Grades have not been recorded for this term. Historical results remain
in the overview above.
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72 courses
Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
Covers first and second semester calculus material while teaching math majors to write and understand proofs.
Offering recorded · Fall 2026
Some students report that homework and exams are difficult, requiring memorization of proofs from notes rather than independent thinking. They criticize the lack of introductory proof instruction and contradictory materials.
MATH 467 introduces proof writing techniques through classical topics in elementary number theory.
Offering recorded · Fall 2026
The course is rated as moderately difficult. Negative perceptions may stem from students encountering a hard math class for the first time rather than the instructor's teaching.
Analysis I covers real numbers, set theory, metric spaces, topology, and core calculus concepts like limits, continuity, and integration.
Offering recorded · Fall 2026
Historical reviews of Arun Ram, Betsy (Lindsay) Stovall: The course is difficult, with homework described as impossible to finish and lectures moving at a fast pace, requiring significant effort and careful note-taking.
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.
Linear Algebra II covers advanced linear transformations, Jordan forms, spectral theory, and multilinear algebra.
Offering recorded · Fall 2026
Historical reviews for Andrei Caldararu describe a lack of support materials, including missing homework solutions, absent practice tests, and unclear project grading rubrics.
Modern Algebra 2 covers field theory, polynomial roots, and linear algebra topics including canonical forms and determinants.
Offering recorded · Fall 2026
Historical reviews of Joshua Mundinger, Paul Apisa, Paul Terwilliger, Uri Andrews: Students report substantial weekly homework loads, sometimes exceeding 20 hours, and exams that cover extensive material, though some instructors offer flexibility or generous grading.
Covers topological spaces, connectedness, compactness, separation axioms, and metric spaces.
Offering recorded · Fall 2026
Historical reviews of Arun Ram, Mingzhong Cai: Workload varies significantly; Arun Ram assigned tons of homework causing late nights, while Mingzhong Cai’s take-home exams required over ten hours per midterm despite being difficult.
Rigorous introduction to the theoretical underpinnings and methods of modern PDE theory.
Offering recorded · Fall 2026
Historical reviews of Hung Tran: Reviewers report that the homework load is too high and the problems are super hard, requiring significant time investment.
MATH 681 is an individual study course for honors math majors to write a thesis in mathematics.
Offering recorded · Fall 2026
Historical reviews highlight Paul Milewski as a helpful and beneficial instructor for research opportunities, though his lecture effectiveness remains unverified by this single source.
Methods of Applied Mathematics 1 covers linear algebraic structures, boundary value problems, complex analysis techniques, and PDE solution methods.
Offering recorded · Fall 2026
Historical reviews of Georghe Craciun: Reviewers rated the difficulty as very low under Craciun, noting that his teaching style simplifies material that might otherwise require blind memorization.
MATH 717 introduces computational methods using stochastic algorithms for random mathematical problems, covering Monte Carlo, Bayesian inference, and SDEs.
A first course in real analysis covering measures, integration, differentiation, and Hilbert spaces.
Offering recorded · Fall 2026
Historical reviews of Alexandru Ionescu, Betsy (Lindsay) Stovall: Reviews consistently characterize the course as hard with difficult homework and exams. Students report learning significantly from the challenging assignments.
Introduction to algebraic geometry covering algebraic preliminaries, local rings, valuation theory, power series rings, and the geometry of algebraic varieties.