AMATH 352
SLN 10207, MWF 12:30-1:20, AND 008
Instructor: |
Professor Randall J. LeVeque Condon 732 tel: 685-3037 fax: 685-1440 rjl@amath.washington.edu office hours at MSCC lab, CMU B022: T 9-10am and 3:45-4:30pm office hours in Condon 732: W 1:30 - 3:00pm or by appointment |
Teaching Assistant: |
Mingyuan Zhong email: zhongmy@amath.washington.edu |
MSCC Lab Assistant: |
Justine G. O. Seo MSCC B022 email: justine@amath.washington.edu hours: M,T 10am - 12pm
Also Dave Kaplan, when working at MSCC desk, can help with MATLAB |
Course notes
will also be available to complement the book.
If you are trying to access these from off campus, you will
need a username and password. See the info sheet passed out in the first
class for these.
See the syllabus for an outline of the class.
The main goal of the course is to introduce approximate numerical methods for solving mathematical equations that cannot be solved exactly by analytical techniques. Such problems arise constantly in science, engineering, finance, computer graphics, and elsewhere. We will study several basic numerical algorithms, how to implement them, and how to analyze their behavior mathematically.
We will also study basic concepts in linear algebra, including matrix-vector manipulations, solving linear systems, least squares problems, and a bit about eigenvalue problems. The emphasis will be on practical aspects of linear algebra and numerical methods for solving these problems. Math 308 (Linear Algebra) is not a prerequisite for this class. This class and that one should complement one another and can be taken in either order.
You should also become adept at using the MATLAB language for numerical problem solving. MATLAB has many built-in functions for solving particular problems and you will learn how to use these. You should also gain an understanding of how they work, why they sometimes don't work, and how to use them intellegently.
Follow links in the table below to obtain a copy of the homework in Adobe Acrobat (.pdf) or postscript (.ps) format, and also for associated scripts or data files. For additional information regarding viewing and printing the homework and solution sets, click here.
If you are trying to access the homework pages from off campus, you will need a username and password. See the info sheet passed out in the first class for these.
| Date | Event | Homework Problem Sets | ||
| Week 1 | W, Sept. 27 | First day of classes | ||
| Week 2 | W, Oct. 4 | Homework 1 due | hw1 Now due 10/6 | |
| Week 3 | W, Oct. 11 | Homework 2 due | hw2 | |
| Week 4 | W, Oct. 18 | Homework 3 due | hw3 | |
| Week 5 | W, Oct. 25 | Homework 4 due | hw4 | |
| Week 6 | W, Nov. 1 | Homework 5 due | hw5 | |
| Week 7 | M, Nov. 6 | Midterm | Review sheet | |
| W, Nov. 8 | No homework due this week | Midterm solutions | ||
| F, Nov. 10 | Veteran's Day -- no class | |||
| Week 8 | W, Nov. 15 | Homework 6 due | hw6 | |
| Week 9 | W, Nov. 22 | Homework 7 due | hw7 | |
| F, Nov. 24 | Thanksgiving vacation -- no class | |||
| Week 10 | W, Nov. 29 | Homework 8 due | hw8 | |
| Week 11 | W, Dec. 6 | Homework 9 due | hw9 | |
| W, Dec. 6 | Last class | |||
| F, Dec. 8 | No class | |||
| Exam week | Th, Dec. 14 | Final Exam, 8:30 - 10:20am | Review material |
There will be 9 homework assignments. These will be due on
Wednesdays
in class.
Each homework will be worth 25 points and the
lowest homework score will be dropped, so 200 points are possible on
homework.
There will be one midterm worth 80 points and a final exam worth 120 points.
A total of 400 points are possible in the course.
Some other links of interest...
| <rjl@amath.washington.edu> | Fri Sep 8 17:13:32 PDT 2006 |