Loading course details…
Loading course details…
Rose-Hulman Institute of Technology · 4 credits · UGRD

Section information text: Similar to MA373, but with an emphasis on the theory behind matrices and vector spaces. Systems of linear equations, Gaussian elimination, and the LU decomposition of a matrix. Projections, least squares approximations, and the Gram-Schmidt process. Eigenvalues and eigenvectors of a matrix. The diagonalization theorem. The singular value decomposition of a matrix. Introduction to vector spaces. Some proof writing will be required. Those interested in applications of matrices and vector spaces should take MA373. A student cannot take both MA 371 and MA 373 for credit.
Fall 2026 · 1 section
Sep 3 – Nov 19
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 01Class #1392 | Mo Tu Th Fr · 11:00 – 11:50 AM | Crapo Hall G313 | Carlisle, Sylvia |
| 01 notes: Instructional method: Lecture | |||