Lecture Summaries are indexed below; just follow the link. Reading them is not a substitute for class attendance. They do not include the examples worked out in class, which give a feel for actually dealing with the material. They do provide an outline of the topics covered.

Important Note: Not surprisingly, the lectures include notation in the"Symbol" font. Be sure that the preferences in your web browser are set so that fonts are read as "page-specified" (rather than having your own fonts override the page-specified ones).

Lecture	Date	Topics
1	1/22	Matrices and Vectors
2	1/27	Systems of Linear Equations
3	1/29	Gaussian Elimination
4	2/3	Span of a Set of Vectors
5	2/5	Linear Dependence and Linear Independence
6	2/10	Matrix Multiplication
7	2/12	Applications of Matrix Multiplication
8	2/17	Invertibility and Elementary Matrices
9	2/19	Inverse of a Matrix
10	2/24	LU Decomposition of a Matrix
11	2/26	Determinants; Cofactor Expansions
12	3/3	Midterm I: In Class
13	3/5	Properties of Determinants
14	3/10	Subspaces
15	3/12	Basis and Dimension
16	3/24	Column Space and Null Space of a Matrix
17	3/26	Eigenvalues and Eigenvectors
18	3/31	Characteristic Polynomial
19	4/2	Diagonalization of Matrices
20	4/7	Applications of Eigenvalues
21	4/9	Geometry of Vectors
22	4/14	Midterm II - In Class
23	4/16	Orthogonal Vectors; Gram-Schmidt Process
24	4/21	Orthogonal Complements
25	4/23	Orthogonal Projection and Least-Squares Approximations
26	4/28	Orthogonal Matrices
27	4/30	Symmetric Matrices and Quadratic Forms
28	5/5	Review
	5/13	Final Exam: NOON-3PM

250 Index