AMATH 352
Autumn Quarter, 2008

AMATH 352: Applied Linear Algebra and Numerical Analysis

SLN 10210, MWF 12:30-1:20, ARC G070

Instructor:

Professor Randall J. LeVeque
Guggenheim 415C
Tel: 685-3037
Fax: 685-1440
E-mail the instructor, including anonymous feedback
Office hours: M, W 3-4pm, F 9-10am

Useful Links:

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.

Prerequisites: MATH 126 or MATH 136 and computing experience. Recommended: CSE 142.

Course notes

Please download the course notes (or read them on-line). These will be made available as the quarter progresses, hopefully in time to read the relevant sections before the corresponding lecture. Looking through the notes in advance should be helpful in understanding the lectures and asking relevant questions.

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.

Textbooks

The two books below will be used to supplement the course notes. They are freely available online:

Jim Hefferon, Linear Algebra. Alternatively, you can get this book, along with the LaTeX source that generated it, from Jim Hefferon's web page.
Cleve Moler, Numerical Computing with MATLAB (Cleve Moler is the original developer of MATLAB)

We will not cover either of these books fully and will jump around in topics relative to these books, but they cover some material that will not be in the notes and also give alternative explanations and examples of material that is in the notes.

Instead of buying a textbook, it is recommended that you purchase the Student Edition of Matlab.

Other references:

There are many other "linear algebra" or "numerical methods" books that cover similar material. If you are having trouble understanding a concept, look through some other books in the library.

Computing

We will use Matlab for computing in this course. See the computing page for more info.

Schedule and Homework

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.

Homework assignments, corrections, etc.

	Date	Event
Week 1	W, Sept. 24	First day of classes
Week 2	F, Oct. 3	Homework 1 due
Week 3	F, Oct. 10	Homework 2 due
Week 4	F, Oct. 17	Homework 3 due
Week 5	F, Oct. 24	First Midterm
Week 6	F, Oct. 31	Homework 4 due
Week 7	F, Nov. 7	Homework 5 due
Week 8	F, Nov. 14	Second Midterm
Week 9	F, Nov. 21	Homework 6 due
Week 10	F, Nov. 28	Thanksgiving vacation -- no class
Week 11	F, Dec. 5	Take-home final due

Grading

There will be 6 homework assignments. These will usually be due on Fridays in class.
Each homework will be worth 25 points, so 150 points are possible on homework.
There will be two midterms worth 50 points each and a take-home final exam worth 50 points.
A total of 300 points are possible in the course.

Homework and exam scores will be available online via your catalyst account