MATH 5001 — Accelerated Linear Algebra
2 semester hours Graduate Lecture
Offers an intensive exploration of linear algebra. Covers linear algebra concepts at an accelerated pace including vector spaces, linear transformations, matrix operations, eigenvalues and eigenspaces, inner product spaces, orthogonal basis, least squares, positive semidefinite matrices, and singular value decompositions. Includes applications to statistics, dynamical systems, and machine learning.
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Data updated Sep 2026 · page generated 2026-09-10.