MATH-5524: Matrix Theory
Description: Determinants, rank, linear systems, eigenvalues, diagonalization, Gram-Schmidt process, Hermitian and unitary matrices, Jordan canonical form, variational principles, perturbation theory, Courant minimax theorem, Weyls inequality, numerical methods for solving linear systems and for determining eigenvalues. science or engineering.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 3.53 (rounds to A-)
Strict A Rate (No A-) : 47.43%
Average Withdrawal Rate: 0.00%
| Martin Klaus | 2021 | 75.3% | 24.6% | 0.0% | 0.0% | 0.0% | 0.0% | 3.69 | 2 |
| Sturler Eric De | 2023 | 80.0% | 20.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.77 | 1 |
| Christopher A Beattie | 2024 | 40.0% | 60.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.40 | 1 |
| Michael Renardy | 2019 | 36.4% | 36.4% | 18.2% | 0.0% | 9.1% | 0.0% | 2.94 | 1 |
| Myungsuk Chung | 2022 | 83.3% | 8.3% | 8.3% | 0.0% | 0.0% | 0.0% | 3.72 | 1 |