| 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 8 | Course overview |
(*.ra 7.4MB)
|
1.html | 1.mws (1.txt) | |
| 2. Jan 10 | Solution of linear equations |
(*.ra 7.4MB)
|
2.html | 2.mws (2.txt) | H §1.2; S §1.1, S §1.2, |
| 3. Jan 15 | Reduction to REF, Gaussian elimination |
(*.ra 7.8MB)
|
3.html | 3.mws (3.txt) |
H Appendix B; S §1.3, S §1.4 |
| 4. Jan 17 | Reduced REF, Gauss-Jordan elimination |
(*.ra 8MB)
|
4.html |
|
H §1.3 |
| Tuesday, Jan 22 | Martin Luther King holiday, no class | ||||
| 5. Jan 24 | Matrix algebra |
(*.ra 8.2MB), |
5.html | 5.mws (5.txt) | S §2.1, S §2.2, S §2.3, Part S §2.4; Mathematicians on paper money |
| 6. Jan 29 | Matrix multiplication |
(*.ra 8.5MB)
|
6.html | 6.mws (6.txt) | |
| 7. Jan 31 | Fibonacci numbers |
(*.ra 8.2MB)
|
7.html | 7.mws (7.txt) |
|
| 8. Feb 5 | Matrix inverse, transposition |
(*.ra 8.1MB)
|
8.html | 8.mws (8.txt) | S §2.4; H §1.5 |
| 9. Feb 7 | elementary matrices; matrix factorization |
(*.ra 8.3MB)
|
9.html | 9.mws (9.txt) |
S §2.8-10
|
| Tuesday, Feb 12 class time | First midterm exam, counts 17.5% | ||||
| 10. Feb 14 | Determinants |
(*.ra 7.5MB)
|
10.html | 10.mws (10.txt) | H §2.1-3; S §3 |
| 11. Feb 19 | Return of exam |
(*.ra 7MB)
|
11.html |
|
|
| Wednesday, Feb 20 | Last day to drop course without grade | ||||
| 12. Feb 21 | Minor (co-factor) expansion; cost of recursion |
(*.ra 8.5MB)
|
12.html | 12.mws (12.txt) | H §2.4; S §3.6-7 |
| 13. Feb 26 | Cramer's rule |
(*.ra 8.1MB)
|
13.html | ||
| 14. Feb 28 | Vector Spaces |
(*.ra 8.1MB)
|
14.html |
14.mws (14.txt)
|
H §3.1-3; S §4.1, |
| 15. Mar 5 | Subspace |
(*.ra 8.6MB)
|
15.html |
15.mws (15.txt)
|
H §3.4
S §6.1
|
| 16. Mar 7 | Lin independence, span, basis |
(*.ra 7.8MB)
|
16.html | H §3.5; S §6.6-7 H §3.6; S §6.12 | |
| Week Mar 11-15 | Spring break, no classes | ||||
| 17. Mar 19 | Nullspace, dimension |
(*.ra 8.2MB), |
17.html |
|
H §3.7; S §6.3-4 |
| 18. Mar 21 | Row and col space, rank |
(*.ra 8.2MB)
|
18.html |
|
H §3.7 |
| Tuesday, Mar 26, at class time | Second midterm exam, counts 17.5% | ||||
| Thursday Mar 28 | Holiday, no class | ||||
| 19. Apr 2 | Orthogonal vectors and complement spaces |
(*.ra 8.5MB)
|
19.html |
|
H §4.2; S §4.1, S §6.18 |
| 20. Apr 4 | Return of exam |
(*.ra 8.2MB)
|
20.html | ||
| 21. Apr 9 | Orthogonal projection, least squares |
(*.ra 8.5MB)
|
21.html |
|
H §4.2-3; S §6.28 |
| 22. Apr 11 | Application of least squares: curve fitting |
(*.ra 8.3MB)
|
22.html
|
22.mws (22.txt)
|
|
| 23. Apr 16 | Abstract inner product, norm; weighted least squares |
(*.ra 8.4MB)
|
23.html |
| H §4.4 |
| 24. Apr 18 | Curve fitting for algorithm analysis |
(*.ra 8.1MB)
|
24.html | 24a.mws (24a.txt); 24b.mws (24b.txt) |
|
| 25. Apr 23 | Gram-Schmidt process |
(*.ra 7.9MB
|
25.html | 25.mws (25.txt) | H §4.5-6; S §6.22 |
| 26. Apr 25 | Ortho proj by QR factorization |
(*.ra 8.0MB
|
26.html | 26.mws (26.txt) | |
| 27. Apr 30 | Linear transformations |
(*.ra 7.0MB)
|
27.html | 27.mws (27.txt); more Maple animation commands | H §4.1; S §5.1-4 |
| 28. May 2 | Eigenvalues |
|
28.html |
28a.mws (28a.txt) 28b.mws (28b.txt) | H §5.2-3, 5.6; S §6.36 |
| The cassette recorder did not work and we have no audio track. However, Lecture 28 of last year's class covered the same material. After you have listened to that class, you may wish to look at the transparencies and worksheets of this year's lecture to see what was done. | |||||
| Tuesday, May 7, 13h00-16h00, 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:
©2002 Erich Kaltofen. Permission to use provided that copyright notice is not removed.