Syllabus
Topics
| Week | Topics | Reading |
|---|---|---|
| 1 | Linear Systems of Equations | Ch. 1 |
| 2 | Matrix math | 1.3-1.4, 2.1-2.3 |
| 3 | Matrix math, continued | 2.3-2.5 |
| 4 | Factorization | 2.8 |
| 5 | Vector spaces? Least Squares | 3, 4.2 |
| 6 | Computer graphics, QR factorization | 4.2, 4.4 |
| 7 | Data compression, wavelets, discrete dynamical systems | 4.4, 5.3 |
| 8 | PCA, SVD | 5.4, 5.6 |
| 9 | Fourier Transform | 6.6 |
Course Info
Textbook:
Our textbook is Applied Linear Algebra and Matrix Analysis, 2nd Ed, by Thomas Shores. You can download this textbook for free from the Springer website.
Course components:
Weekly homework (problem sets)
These will be graded with a standard point scale.
Three “project packs”.
For each pack, you’ll choose 3 of 4 mini projects to complete. Projects are slightly longer and more open-ended than homework problems. Projects will be graded on an ESMU scale. (This stands for Excellent, Meets Expectations, Revision necessary, and Ungradeable.)
For each of the first two project packs, you’ll have the chance to revise and resubmit up to two projects, so long as they were initially graded with an M or R. For the third project pack, you won’t be able to revise and resubmit projects (because this will be due at the end of the quarter).
Final exam
There will be a final exam during exam week, in two parts. The first part will be similar to the problems in the problem sets. The second part will be a critical analysis of some applications. You’ll have to suggest directions that you might take in an analysis and look for potential weaknesses in a provided analysis. However, if you’ve gotten at least two Es on your project packs, you won’t have to take the second part of the final exam.
We will not have a midterm exam.
Grading Etc
Course grading
The final grade will be determined by the following weights:
- Problem sets: 20%
- First part of final exam: 15%
- Second part of final exam: 15% OR skipped.
- Project packs: 50% OR 65% if the second part of the final exam is skipped.