This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.

1 : Introductory Probability and Statistics for Business   (Fletcher Ibser / Berkeley)
2 : Analytic Geometry and Calculus   (Thomas Scanlon / Berkeley)
3 : Introduction to Probability and Statistics   (Deborah NOLAN / Berkeley)
4 : Single Variable Calculus   (David Jerison / MIT)
5 : Multivariable Calculus   (Denis Auroux / MIT)
6 : Differential Equations   (Haynes Miller / MIT)
7 : Computational Science and Engineering I   (Gilbert Strang / MIT)
8 : Mathematical Methods for Engineers II   (Gilbert Strang / MIT)
9 : Multivariable Calculus   (Michael HUTCHINGS / Berkeley)
10 : Calculus I   (Richard Delaware / University of Missouri)
11 : College Algebra   (Richard Delaware / University of Missouri)
12 : Homework Help for Multivariable Calculus   (Multiple Instructors / MIT)
13 : Homework Help for Single Variable Calculus   (Multiple Instructors / MIT)
14 : Probability for Math Science   (Herbert Enderton / UCLA)
15 : Differential and Integral Calculus   (Steve Butler / UCLA)