Mathematics 261 - Computational Linear Algebra

Computational Linear Algebra

Spring
2025
01
4.00
Becca Thomases

TU TH 9:25 AM - 10:40 AM

Smith College
MTH-261-01-202503
Seelye 212
bthomases@smith.edu
Linear algebra has become one of the most widely applied areas of mathematics. Fast matrix computation allows for the manipulation and analysis of large complex data sets which has enabled major advances in computation. Discussions include solving linear systems, matrices, determinants, matrix factorizations such as LU, and QR decompositions and singular value decomposition (SVD). Students will learn to use software to analyze large data sets, with applications in computer science, chemistry, engineering, and others. This course will be taught using the software MATLAB, but no knowledge of MATLAB is assumed. Prerequisite: MTH 211. Enrollment limited to 25. (E)

[CE] MTH 211

Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.

Must take Laboratory, Lecture

Permission is required for interchange registration during the add/drop period only.
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