| Outline | People | Reading | Grading | Academics | Homepage |
Course Outline*Note: all underscored links are active; future links will be installed over the listed items as the class progresses. | |||||
| Lecture | Topic(s) | Audio | Slides | Maple ws | Notes/Book(s) |
|---|---|---|---|---|---|
| 1. Jan 11 | Course overview |
(*.ra 4.7MB),
(*.ra 3.6MB)
|
1.html | 1.mws (1.txt) | |
| 2. Jan 13 | Solution of linear equations |
(*.ra 4.9MB),
(*.ra 4.0MB)
|
2.html | 2.mws (2.txt) | H §1.2; S §1.1, S §1.2, |
| Tuesday, Jan 18 | Martin Luther King holiday, no class | ||||
| 3. Jan 20 | Reduction to REF, Gaussian elimination |
(*.ra 4.7MB),
(*.ra 3.7MB)
|
3.html | H Appendix B; S §1.3, S §1.4. | |
| Jan 25 & 27 | Winterstorm, no class | ||||
| 4. Feb 1 | Reduced REF, Gauss-Jordan elimination |
(*.ra 4.7MB),
(*.ra 3.8MB)
|
4.html | 4_1.mws (4_1.txt), 4_2.mws (4_2.txt) | H §1.3 |
| 5. Feb 3 | Matrix algebra |
(*.ra 5.0MB),
(*.ra 3.6MB)
|
5.html | 5.mws (5.txt) | S §2.1, S §2.2, S §2.3, Part S §2.4. |
| 6. Feb 8 | Fibonacci numbers |
(*.ra 4.9MB),
(*.ra 3.4MB)
|
6.html | 6.mws (6.txt) | |
| 7. Feb 10 | Matrix inverse, transposition |
(*.ra 5.2MB),
(*.ra 3.5MB)
|
7.html | 7.mws (7.txt) | S §2.4 |
| 8. Feb 15 | Elementary matrices |
(*.ra 4.8MB),
(*.ra 3.0MB)
|
8.html | 8.mws (8.txt) | H §1.5; S §2.8-10 |
| Thursday, Feb 17 class time | First midterm exam, counts 17.5% | ||||
| 9. Feb 22 | Matrix factorization |
(*.ra 4.9MB),
(*.ra 3.6MB)
|
9.html | 9.mws (9.txt) | |
| 10. Feb 24 | Determinants |
(*.ra 5.1MB),
(*.ra 3.4MB)
|
10.html | 10.mws (10.txt) | H §2.1-3; S §3 |
| 11. Feb 29 (one in 400 years!) | Return of exam |
(*.ra 4.4MB),
(*.ra 2.5MB)
|
11.html | 11.mws (11.txt) | |
| Tuesday, Feb 29 | Last day to drop course without grade | ||||
| 12. Mar 2 | Cramer's rule |
(*.ra 5.1MB),
(*.ra 3.4MB)
|
12.html | 12.mws (12.txt) | H §2.4; S §3.6-7 |
| 13. Mar 7 | The cost of minor expansion |
(*.ra 4.9MB),
(*.ra 2.9MB)
|
13.html | 13_1.mws (13_1.txt) 13_2.mws (13.txt) | |
| Warning: executing fibo(50); consumes all your memory | |||||
| 14. Mar 9 | Vector Spaces, Subspaces |
(*.ra 5.1MB),
(*.ra 3.2MB)
|
14.html | H §3.1-4; S §4.1, S §6.1 | |
| Week Mar 13-17 | Spring break, no classes | ||||
| 15. Mar 21 | Lin independence, span |
(*.ra 4.7MB),
(*.ra 3.9MB)
|
15.html | H §3.5; S §6.6-7 | |
| 16. Mar 23 | Nullspace, basis |
(*.ra 4.8MB),
(*.ra 3.4MB)
|
16.html | H §3.6; S §6.12 | |
| 17. Mar 28 | Dimension |
(*.ra 5.0MB),
(*.ra 3.3MB)
|
17.html | 17.mws (17.txt) | H §3.7; S §6.3-4 |
| The Maple worksheet shows how the example was synthesized | |||||
| Thursday, Mar 30, at class time | Second midterm exam, counts 17.5% | ||||
| 18. Apr 4 | Row and col space, rank |
(*.ra 4.9MB),
(*.ra 3.5MB)
|
18.html | 18.mws (18.txt) | H §3.7 |
| 19. Apr 6 | Orthogonal vectors and complement spaces |
(*.ra 4.8MB),
(*.ra 3.1MB)
|
19.html | H §4.2; S §4.1, S §6.18 | |
| 20. Apr 11 | Return of exam |
(*.ra 4.9MB),
(*.ra 2.5MB)
|
20.html | ||
| 21. Apr 13 | Orthogonal projection, least squares |
(*.ra 4.7MB),
(*.ra 3.7MB)
|
21.html | 21.mws (21.txt) | H §4.2-3; S §6.28 |
| 22. Apr 18 | Application of least squares: curve fitting |
(*.ra 4.5MB),
(*.ra 3.8MB)
|
22.html QSORT run trace |
22a.mws (22a.txt); 22b.mws (22b.txt); 22c.mws (22c.txt) | incsolve. mpl (used in 22a.*) |
| 23. | Missed due to snowstrom; material merged into previous classes | ||||
| 24. Apr 20 | Make-up class, no holiday | ||||
| Abstract inner product, norm; weighted least squares |
(*.ra 5.1MB),
(*.ra 3.7MB)
|
24.html; More QSORT tests | 24.mws (24.txt) | H §4.4 | |
| The QSORT tests were recreated as I had difficulty saving the script :-(as you can hear on the audio). During the Maple demo, I compared the weighted least squares solution with old data. I have recomputed the unweighted solution in the worksheet that is posted (it is now much worse than the weighted one:-). | |||||
| 25. Apr 25 | Gram-Schmidt process |
(*.ra 5.2MB,
(*.ra 2.9MB)
|
25.html | 25.mws (25.txt) | H §4.5-6; S §6.22 |
| 26. Apr 27 | Ortho proj by QR factorization |
(*.ra 5.0MB
(*.ra 1.0MB)
|
26.html | 26.mws (26.txt) | |
| The first example in 26.mws is from the Spring 1997 final exam. | |||||
| 27. May 2 | Linear transformations |
(*.ra 5.2MB),
(*.ra 3.2MB)
|
27.html | 27.mws (27.txt); more Maple animations | H §4.1; S §5.1-4 |
| 28. May 4 | Eigenvalues |
(*.ra 5.4MB),
(*.ra 3.1MB)
|
28.html |
28_1.mws (28_1.txt) 28_2.mws (28_2.txt) | H §5.2-3, 5.6; S §6.36 |
| Tuesday, May 16, 1pm-3, in class room | Final exam, counts 25% | ||||
On-line information: All information on courses that I teach (except individual grades) is now accessible via html browsers, which includes this syllabus. My courses' directory is at
There will be five or six homework assignments of approximately equal weight, some to be done on computers using the Maple systems, two mid-semester examinations during the semester and a final examination during examination week. Class attendance will not be monitored in any way. If you need assistance in any way, please let me know (see also the University's policy).
| Grade split up | |
| Accumulated homework grade | 40% |
| Final examination | 25% |
| First mid-semester exam | 17.5% |
| Second mid-semester exam | 17.5% |
| Course grade | 100% |
Collaboration on homeworks: I expect every student to be his/her own writer/Maple programmer. Therefore the only thing you can discuss with anyone is how you might go about solving a particular problem. You may use freely information that you retrieve from public (electronic) libraries or texts, but you must properly reference your source.
Late submissions: All homeworks must be submitted on time. The following penalties are given for (unexcused) late submissions:
©2000 Erich Kaltofen. Permission to use provided that copyright notice is not removed.