AMATH 352
SLN 1177, MWF 12:30-1:20, LOW 102
(Prerequisites: MATH 126 or MATH 136: recommended: CSE 142)

Applied Linear Algebra and Numerical Analysis


Instructor:


Professor Randall J. LeVeque
Guggenheim 408A
tel: 685-3037
rjl@amath.washington.edu
office hours:
   T,Th 9-10 at MSCC lab
    W 1:30-2:30 in office
             

Teaching Assistant:

Yiyi Shi
Guggenheim 416
tel: 685-8068
shiyiyi@amath.washington.edu
office hours at MSCC:
   W 2:30-3:30, Th 1:00-3:00

MSCC Lab Matlab Assistant:

Justine GunOg Seo
office hours at MSCC: Tu and Th: 11:00 - 1:00

Important announcements, corrections, etc.

Course Description

Development and application of numerical methods and algorithms to problems in the applied sciences and engineering. Applied linear algebra and introduction to numerical methods. Emphasis on use of conceptual methods in engineering, mathematics, and science.

Textbook

Available at the University Bookstore: There are numerous other books that cover similar material as our book. You might want to look for books about "numerical methods" or "numerical analysis" in the library. Often, a quick trip into another book might save some frustration.

One useful reference is Cleve Moler's book Numerical Computing with MATLAB, which is available on-line.

Learning Objectives and Instructor Expectations

The main goal of the course is to introduce approximate numerical methods for solving mathematical equations that cannot be solved exactly by hand. 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.

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.

Schedule and Homework

Follow links in the table below to obtain a copy of the homework in PostScript (.ps) or Adobe Acrobat (.pdf) format, and also for associated scripts or data files. For additional information regarding viewing and printing the homework and solution sets, click here.

Date Event Homework Problem Sets
Week 1 M, Jan. 3 First day of classes
Week 2 M, Jan. 10 Homework 1 due hw1    solutions
F, Jan. 14 Homework 2 due hw2    solutions
Week 3 M, Jan. 17 No class: M.L. King Day
F, Jan. 21 Homework 3 due hw3    solutions
Week 4 W, Jan. 26 Midterm #1 review sheet
Week 5 F, Feb. 4 Homework 4 due hw4    solutions
Week 6 F, Feb. 11 Homework 5 due hw5    solutions
Week 7 W, Feb. 16 Midterm #2 review sheet
Week 8 M, Feb. 21 No class: President's Day
F, Feb. 25 Homework 6 due hw6    solutions
Week 9 F, March 4 Homework 7 due hw7    solutions
Week 10 F, March 11 Homework 8 due hw8    solutions
Finals week Th, March 17 Final exam 8:30-10:20am review sheet

Grading

There will be 8 weekly homework assignments, normally due each Friday in lecture except midterm weeks. Late homeworks will not be accepted. (If you cannot get it in during class but can find the TA to turn it in Friday afternoon, it may still be accepted, but no guarantees!)

Each homework will be worth 25 points and the lowest homework score will be dropped, so 175 points are possible on homework.

There will be two midterms, each worth 50 points, and a final exam worth 75 points.

If you are not able to attend an exam because of an emergency, please contact me before the exam. Please note that the final exam is scheduled for 8:30 - 10:20 am on Thursday March 17. Students are expected to take the exam at that time.

You may view your homework and exam grades on-line.

Other links

<rjl@amath.washington.edu> Thu Jun 24 15:50:57 PDT 2004