MAT 167 Syllabus Page (Spring, 1999)

Course: MAT 167-002
CRN: 57651 
Title: Linear Algebra and Applications
Class: MWF 12:10pm-1:00pm, Olson 223 

Instructor: Naoki Saito 
Office: 675 Kerr 
Phone: 754-2121 
Email: saito@math.ucdavis.edu 
Office Hours: MW 2:00pm-3:30pm or by appointment via email 

Teaching Assistant: Sam Chan 
Office: 462 Kerr 
Email: schan@math.ucdavis.edu 
Office Hours: TTh 3:00pm-4:00pm

• To understand the importance of linear algebra through applications
• To learn how the linear equations and eigenvalue problems appear in the practical applications
• To gain an insight of numerical solutions of linear equations and computation of eigenvalues and eigenvectors
• To learn how to solve linear equations and eigenvalue problems through Matlab-based projects

• Jack L. Goldberg, "Matrix Theory with Applications," McGraw-Hill, Inc., 1991; this is a required textbook.
• We will cover the following sections of this book: Chap.3 with 2.4 and 2.5, Chap.4, Chap.5 (5.1-5.7), Chap.6 (6.1-6.3), 7.3, and additional notes on Jordan Canonical Form.

• All students enrolled in Math 167 must have passed 22A with a grade of D or better.
• Some experience in Matlab is preferable, but not required.
• Matlab primer can be downloaded from here in Postscript format and PDF format.
• Another Matlab primer is also available as a Postscript file and a PDF file.
• To view PDF format, you need acroread from Adobe Systems Inc.

• Regular attendance to the lectures is strongly advised.
• Neither eating nor disturbing the lectures/the other students is allowed.
• Two hour time (3pm-5pm Wednesdays) of The Instructional Computing Laboratory located in 451 Kerr Hall has been allocated for our class so that you can work on Matlab-based experiments and projects. You can come to the lab during these two hours without any schedule conflict with the other class. If you cannot come on 3pm-5pm on Wednesdays, don't worry. You can come to the lab at any time between 9am to 5pm on MTWThF as long as there's no conflict with the other classes. Please check computing lab page for the schedule of other classes.
• Visit my "How to Use Matlab in Instructional Computing Lab" page to see what you have to do. Note that you have to activate your account before you come to the lab for the first time.

I will maintain the  Web pages for this course (one of which you are looking at now).  All homework assignments and important announcements will be posted on these pages.  Please check these pages regularly.
You can access the 167 home page at https://www.math.ucdavis.edu/~saito/courses/167/  from which you can access to this syllabus page and the homework page.

• 15% Homework
• 20% Computer-based Projects
• 25% Midterm
• 40% Final Exam
• Overall grade will be based on the distribution of the weighted sum of these scores.

Tentatively, Midterm exam is scheduled on Friday, May 14th in class (12:10pm-1:00pm).

The final exam will be held on Wednesday, June 16 from 1:30pm to 3:30pm at the same room 223 Olson.

There will be NO MAKE-UP EXAMS for Midterm and Final. If you miss exams due to unavoidable circumstances such as serious illness of yourself or death in your family, you must provide me with a written proof and document. Then I will adjust the weights to the exams you actually took to make the sum of the weights 100%.

I will assign homework every Monday. Its due date is the following Monday. In principle, I will collect the homework at the beginning of the Monday lecture.  LATE HOMEWORK WILL NOT BE ACCEPTED. A subset of these problems will be graded. The graded homework will be returned to the homework boxes located in the basement of Wellman Hall by the following Monday. The solution to each homework should be available at "Classical Notes" in Memorial Union on every Monday after the class or the following Monday in the worst case.
Click here to go to homework page.

I will assign two computer projects using Matlab.
The first one will cover the various algorithms of linear equation solvers, and will be given around April 12 (Mon) and due May 19 (Mon).
The second one will cover the algorithms of eigenvalue problems, and will be given around May 10 (Mon) and due June 7 (Mon).
Everyone will get an account on the computers of the Math Department so that one can work on projects using Matlab. You can work either at the Instructional Computing Lab (451 Kerr) or from any other lab or even from your home PC by remotely connecting to the departmental servers [line,plane].ucdavis.edu.