Randall J. LeVeque
rjl at amath.washington.edu
office hours in Gugg 415C: W, F 1:30-2:30
office hours in AS Lab B022: T, W 9:00-10:00
ship at amath.washington.edu
office hours in AS Lab B027:
M 10:30-11:30, T 11:30 - 12:30
Matlab Help Desk in AS Lab:
jallenf at amath.washington.edu
hours: M 8:30-11:00, T 12:00-2:00,
Th 8:30-10:30, 12:00-3:00, F 8:30-11:00
Schedule and homework assignments
If you are trying to access these notes 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.
You may use the computers in the College of Arts and Sciences Instructional Computing Lab (AS LAB, previously known as MSCC), located in Communications B022. See the AS Lab webpage for hours of operation and other information. Most other computer labs on campus do not have Matlab.
You can buy the student edition of Matlab at the bookstore for Windows, Mac, or Linux.
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. 26||First day of classes|
|Week 2||F, Oct. 5||Homework 1 due||hw1|
|Week 3||W, Oct. 10||Homework 2 due||hw2|
|Week 4||W, Oct. 17||Homework 3 due||hw3|
|Week 5||W, Oct. 24||Homework 4 due||hw4|
|Week 6||W, Oct. 31||Homework 5 due||hw5|
|Week 7||W, Nov. 7||Midterm||Review sheet|
|W, Nov. 7||No homework due this week|
|Week 8||M, Nov. 12||Veteran's Day -- no class|
|F, Nov. 16||Homework 6 due||hw6|
|Week 9||W, Nov. 21||Homework 7 due||hw7|
|F, Nov. 23||Thanksgiving vacation -- no class|
|Week 10||F, Nov. 30||Homework 8 due||hw8|
|Week 11||W, Dec. 5||Last class|
|F, Dec. 7||No class|
|F, Dec. 7||Homework 9 due||hw9|
|Exam week||Th, Dec. 13||Final Exam, 8:30 - 10:20am||Review material|
There will be 9 homework assignments. These will usually be due on
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 75 points and a final exam worth 100 points.
A total of 375 points are possible in the course.
You may view your homework and exam grades on-line.
Some other links of interest...