Numerical Analysis covers polynomial approximation, interpolation, splines, numerical integration, and methods for solving ordinary differential equations.
Offering recorded · Fall 2026
Reviewers describe the workload as manageable with relative homework, but note a large volume of material and a tough class environment requiring strong math preparation.
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.
Introduction to differential and integral calculus, plane analytic geometry, and transcendental functions with applications.
Offering recorded · Fall 2026
Joseph Miller's course involves minimal homework and exams that are considered manageable, though one student noted the lack of notecards. Chanwoo Kim's course is described as difficult, with grades heavily dependent on midterms and lectures deemed unhelpful.
Introduces linear algebra and differential equations, emphasizing the relationship between theory and numerical solution techniques.
Offering recorded · Fall 2026
The course features a sharp difficulty curve and strict grading with no rounding. Workload consists of minimal homework, with three exams comprising almost the entire grade.
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.
MATH 717 introduces computational methods using stochastic algorithms for random mathematical problems, covering Monte Carlo, Bayesian inference, and SDEs.