Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares approximations of...

This is a basic course, produced by Gilbert Strang of the Massachusetts Institute of Technology, on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including...

This is a math course, authored by Herbert Enderton of the University of California, Berkeley, aims at students with life science majors covering elementary probability, probability distributions, random variables, and...

Educational technologies continue to press onwards and upwards, and screencasts would seem to be one of the latest trends in this area. Screencasts basically combine narration with on-screen writing in order to...

This graduate-level course, created by Gilbert Strang of the Massachusetts Institute of Technology, is a continuation of Computational Science and Engineering I. Topics include numerical methods; initial-value problems;...