| Outline | People | Reading | Grading | Academics | Homepage |
Course Outline* | |||||
| Lecture | Topic(s) | Audio | Slides | Maple ws | Notes/Book(s) |
|---|---|---|---|---|---|
| 1. Jan 6 | Course overview |
(*.ra 5.7MB),
(*.ra 2.9MB)
|
1.html | 1.mws (1.txt) | |
| 2. Jan 8 | Solution of linear equations |
(*.ra 5.7MB),
(*.ra 2.9MB)
|
2.html | 2.mws (2.txt) | H §1.2; S §1.1, S §1.2, |
| 3. Jan 13 | Reduction to REF, Gaussian elimination |
(*.ra 5.7MB),
(*.ra 3.0MB)
|
3.html | 3.mws (3.txt) | H Appendix B; S §1.3, S §1.4. |
| 4. Jan 15 | Reduced REF, Gauss-Jordan elimination |
(*.ra 5.7MB),
(*.ra 1.7MB)
|
4.html | 4.mws (4.txt) | H §1.3 |
| Tuesday, Jan 20 | Martin Luther King holiday, no class | ||||
| 5. Jan 22 | Matrix algebra |
(*.ra 5.7MB),
(*.ra 2.2MB)
|
5.html | 5.mws (5.txt) | S §2.1, S §2.2, S §2.3, Part S §2.4. |
| 6. Jan 27 | Fibonacci numbers |
(*.ra 5.9MB),
(*.ra 2.4MB)
|
6.html | 6.mws (6.txt) | |
| 7. Jan 29 | Matrix inverse, transposition |
(*.ra 5.7MB),
(*.ra 2.9MB)
|
7.html | 7.mws (7.txt) | S §2.4 |
| 8. Feb 3 | Elementary matrices | Cassette recorder broken. No audio. Sorry. We do have notes. | 8.html | 8.mws (8.txt) | H §1.5; S §2.8-10 |
| 9. Feb 5 | Matrix factorization |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
9.html | 9.mws (9.txt) | |
| Tuesday, Feb 10, at class time | First midterm exam, counts 17.5% | ||||
| 10. Feb 12 | Determinants |
(*.ra 5.86MB),
(*.ra 2.0MB)
|
10.html | 10.mws (10.txt) | H §2.1-3; S §3 |
| 11. Feb 17 | Return of exam |
(*.ra 5.5MB)
|
11.html | 11.mws (11.txt) | |
| Wednesday, Feb 18 | Last day to drop course without grade | ||||
| 12. Feb 19 | Cramer's rule |
(*.ra 6.8MB),
(*.ra 2.0MB)
|
12.html | 12.mws (12.txt) | H §2.4; S §3.6-7 |
| 13. Feb 24 | Vector spaces |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
13.html | 13.mws (13.txt) | H §3.1-4; S §4.1 |
| 14. Feb 26 | Subspaces |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
14.html | S §6.1 | |
| 15. Mar 3 | Lin independence, span |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
15.html | H §3.5; S §6.6-7 | |
| 16. Mar 5 | Basis, dimension |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
16.html | 16.mws (16.txt) | H §3.6; S §6.12 |
| Week Mar 9-13 | Spring break, no classes | ||||
| 17. Mar 17 | Null space |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
17.html | 17.mws (17.txt) | H §3.7; S §6.3-4 |
| 18. Mar 19 | Row and col space, rank |
(*.ra 6.8MB),
(*.ra 1.9MB)
|
18.html | 18.mws (18.txt) | H §3.7 |
| Tuesday, Mar 24, at class time | Second midterm exam, counts 17.5% | ||||
| 19. Mar 26 | Orthogonal vectors and complement spaces |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
19.html | H §4.2; S §4.1, S §6.18 | |
| 20. Mar 31 | Return of exam |
(*.ra 5.4MB),
(*.ra 1.4MB)
|
20.html | ||
| 21. Apr 2 | Orthogonal projection, least squares |
(*.ra 6.8MB),
(*.ra 2.0MB)
|
21.html | 21.mws (21.txt) | H §4.2-3; S §6.28 |
| 22. Apr 7 | Application of least squares: curve fitting |
(*.ra 6.8MB),
(*.ra 1.0MB)
|
22.html | 22a.mws (22a.txt); 22b.mws (22b.txt); 22c.mws (22c.txt); 22d.mws (22d.txt) | |
| Thursday, Apr 9 | Easter, no classes | ||||
| 23. Apr 14 | Estimating the run time of a program |
(*.ra 6.8MB),
(*.ra 1.0MB)
|
23.html; QSORT run trace |
23a.mws (23a.txt); 23b.mws (23b.txt) | |
| 24. Apr 16 | Abstract inner product, norm; weighted least squares |
(*.ra 6.7MB),
(*.ra 1.7MB)
|
24.html | 24a.mws (24a.txt); 24b.mws (24b.txt) | H §4.4 |
| 25. Apr 21 | Gram-Schmidt process |
(*.ra 6.7MB,
(*.ra 1.7MB)
|
25.html | 25.mws (25.txt) | H §4.5-6; S §6.22 |
| 26. Apr 23 | Ortho proj by QR factorization |
(*.ra 6.7MB |
26.html | 26.mws (26.txt) | |
| 27. Apr 28 | Linear transformations |
(*.ra 6.8MB),
(*.ra 1.7MB)
|
27.html | 27.mws (27.txt); more Maple animations | H §4.1; S §5.1-4 |
| 28. Apr 30 | I left out the batteries from the recorder, so there is no audio for the make-up class. Therefore, I post last semester's class on eigenvalues (same topic, same lecture). All "new..." is from the make-up class. | ||||
| Eigenvalues |
(*.ra 5.2MB),
(*.ra 2.6MB)
|
28.html new28.html |
28.mws (28.txt); new28.mws (new28.txt) | H §5.2-3, 5.6; S §6.36 | |
| Thursday, May 7, 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 seven or eight 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.
| 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:
©1997 Erich Kaltofen. Permission to use provided that copyright notice is not removed.