This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.

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 : Linear Algebra   (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)