MTH 4374 creditsPrereq: Pre-Requisite: CSE 115 or MTH 337 and MTH 241 and MTH 306 and MTH 309 .
MTH 437: Introduction to Numerical Analysis I
6 public student ratings, updated Oct 2026 · no written reviews yet
Undergrad registration for Spring 2027 at UB opens Mon, Nov 2. Registrar dates
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What we know
- From the catalog
- A first course on the design and implementation of numerical methods to solve the most common types of problem arising in science and engineering. Most such problems cannot be solved in terms of a closed analytical formula, but many can be handled with numerical methods learned in this course. Topics for the two semesters include: how a computer does arithmetic, solving systems of simultaneous linear or nonlinear equations, finding eigenvalues and eigenvectors of (large) matrices, minimizing a function of many variables, fitting smooth functions to data points (interpolation and regression), computing integrals, solving ordinary differential equations (initial and boundary value problems), and solving partial differential equations of elliptic, parabolic, and hyperbolic types. We study how and why numerical methods work, and also their errors and limitations. Students gain practical experience through course projects that entail writing computer programs.
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- 4.3 out of 5 stars4.3from 6 ratings
- Department
- Mathematics
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Professors who have taught MTH 437
- Dane Taylor
- Jae Hun Jung
- John Ringland
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