Catalogue Description:
MATH 660. Computational Linear Algebra. Techniques in matrix computation; elimination methods, matrix decomposition, generalized inverses, orthogonalization and least-squares, eigenvalue problems and singular value decomposition, iterative methods and error analysis. Prerequisites: MATH 417 or equivalent or CPSC 442 or equivalent. Cross-listed with CPSC 660.Required Text: Gene H. Golub and Charles F. Van Loan, Matrix Computations, 3rd Edition, Johns Hopkins University Press, Baltimore, MD, 1996.
| Month | AUG | SEPT | OCT | NOV | DEC | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Week | 29 | 5 | 12 | 19 | 26 | 3 | 10 | 17 | 24 | 31 | 7 | 14 | 21 | 28 | 5 |
| TU | 1.1 | 2.1 | 2.5 | 3.1, 3.2 | 3.4 | 4.1, 4.2 | Review | 5.1 | 5.2 | 5.5, 7.1 | 7.2, 8.1 | 8.2, 8.3 | 10.1 | 10.2 | Review |
| TH | 1.2, 1.3 | 2.2- 2.4 | 2.6, 2.7 | 3.2, 3.3 | 3.4, 3.5 | 4.2, 4.3 | Midterm | 5.2 | 5.3, 5.4 | 7.1 | 8.1 | 8.3 | 11.1 | ||
Grading. Your grade will be based on homework, a midterm test, and a final exam. The homework will count for 30% of your grade, the midterm for 35%, and the final exam will count for the remaining 35%. Your letter grade will be assigned this way: 90-100%, A; 80-89%, B; 70-79%, C; 60-69%, D; 59% or less, F.
Make-up Policy: I will give make-ups (or satisfactory equivalents) only in cases authorized under TAMU Regulations. In borderline cases, I will decide whether or not the excuse is authorized. Also, if you miss a test, contact me as soon as possible.
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