MA-305 Linear Algebra and Matrices Fall 1997

Harrelson 201, TH 4:05 pm-5:20

Instructor:

Teaching Assistant: Text:

General Information

Grading will be done with plus/minus refinement.

There will be homework assignments, some to be done on computers using the Maple systems, two mid-semester examinations during the semester and a final examination during examination week. The final will count 25% of the grade, the midterm exams will count 17.5%. Homeworks will count 40%. Class attendance will not be monitored in any way.

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

You can also find information on courses that I have taught in the past, and examinations that I have given. The linear algebra courses have been moved to the Project25 server.

Course Standards

Examinations:All three examinations will be "closed book-closed notes." However, you will be able to bring a single sheet of paper with pertinent information to the examinations. The examinations will require your physical presence on campus.

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 penalities are given for (unexcused) late submissions:

Alleged cheating on homeworks: I will not decide any penalty myself, but refer all such cases to the proper judiciary procedures.

Course Outline*
Relative Date Calendar Date Topic(s) Reading (for online book, click on the individual lectures)
Lect. 1 Aug 19 Course overview
Lect. 2, 3 Aug 21, 26 Reduction to REF, Gaussian elimination, Reduced REF, Gauss-Jordan eliminationH §1.2, Appendix B
Lect. 4 Aug 28 Matrix algebra H §1.3
Sep 1 Labor Day, no office hours
Lect. 5 Sep 2 Matrix algebra continued
Lect. 6, 7 Sep 4, 9 Elementary matrices and applications H §1.4
Lect. 8, 9 Sep 11, 16 Matrix factorization H §1.5
Thursday, Sep 18 First Midterm Exam, counts 17.5%
Lect. 10Sep 23 Return of exam; determinants H §2.1-3
Lect. 11, 12 Sep 28, 30 Cramer's rule H §2.4
Tuesday, Sep 30 Last day to drop the course
Lect. 13, 14Oct 2, 7 Vector spaces, subspaces H §3.1-4
Lect. 15Oct 9 Lin independence, spanH §3.5
Oct 13-14 Fall break, no classes
Lect. 16Oct 16 Basis, dimension H §3.6
Lect. 17Oct 21 Solution by CEF; null space H §3.7
Lect. 18Oct 23 Row and col space, rank H §3.7
Tuesday Oct 28 Second Midterm Exam, counts 17.5%
Lect. 19Oct 30 Return of exam; catch-up
Lect. 20, 21 Nov 4, 6 Ortho complement space H §4.2, class notes
Lect. 22, 23Nov 11, 13 Least squares, ortho proj H §4.2-3
Lect. 24, 25Nov 18, 20 Inner product, norm; Gram-Schmidt process H §4.4
Lect. 26Nov 25 QR factorization, application to least squares H §4.5-6
Nov 27-28 Thanksgiving Holidays
Lect. 27, 28 Dec 2, 4 Lin Trafos, EigenvaluesH §4.1; 5.2-3, 5.6
Tuesday, Dec 9, 1pm-4 Final examination during exam week, counts 25%
* This is a projected list and subject to amendment.

Welcome back!
Good luck for this semester!


©1997 Erich Kaltofen. Permission to use provided that copyright notice is not removed.