Linear Transformations and Matrices

Course Topics: Matrices, determinants, systems of linear equations, eigenvalues, eigenvectors, diagonalization of matrices, inner product spaces, orthogonal functions, Gram-Schmidt process, Fourier series, SVD decomposition and least-squares approximation. Prerequisite: MATH 241 or MATH 242.

Required Text: Steven Leon, Linear Algebra with Applications, 7th Edition, Pearson Prentice Hall, 2006.

Meeting time/place: Sections 34411/39120 meet T-TH in AH245, from 9:00-10:20, and Sections 34419/39121 meet meet T-TH in AH245, from 10:30-11:50. I'll aim to keep the same pace in both classes, hence you should feel free to attend either class. We'll cover most of the first six chapters. Here is the Syllabus.

Grading System & Tests: Your grade will be based on three in-class tests, Homework, and a final exam. Dates of tests are 9/18, 10/16, 11/13. Each in-class test will count for 20% of your grade, the homework for 10%, and the final examination will count for the remaining 30%. You may drop the lowest homework score; for this reason, late homework will not be accepted. Homework is due tuesday at the start of class and consists of the sections covered the previous week. Final grade cutoff (guaranteed) A = 90%, B=80%, etc. Final exam date/times are 12/10, 1:30-4:30 (9am class) and 12/13, 8:00-11:00 (1030am class).

Make-up Policy: My make up policy mirrors the policy on the webpage for CS 433 (Harrison, fall 2005). Basically, my make up exams are different (and harder, since there is more time to study) than the originals.

Academic Integrity: I encourage students to work on homework together; this does not mean that you should grab your buddy a half hour before class and copy the homework. The way you practice is the way you play, and although homework only makes up 10% of the final grade, it is an excellent predictor of test performance.