MATH 5250 — Numerical Analysis and Differential Equations
General Information
Introduction to the fundamentals of numerical analysis: error analysis, approximation, interpolation, and numerical integration. In the second half of the course, we use these to build approximate solvers for ordinary and partial differential equations. Strong emphasis is placed on understanding the advantages, disadvantages, and limits of applicability for all the covered techniques. Computer programming is required to test the theoretical concepts throughout the course. Students will be expected to be comfortable writing proofs and have knowledge of programming.
Full Cornell course description (FA26)
Credits: 4
Prerequisites and Enrollment
Prerequisites: background equivalent to: MATH 2210 or MATH 2310 or MATH 2230-MATH 2240.
Enrollment: Enrollment limited to: graduate and professional students.
Recorded Offerings
| Semester | Listed instructors | Course details |
|---|---|---|
| Fall 2026 | Alexander Vladimirsky | Roster / syllabus |
Workload and General Advice
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Course information checked against Cornell’s Spring and Fall 2026 rosters on September 18, 2026. The listed semesters are verified examples, not a complete offering history.