Course materials: Linear Algebra and Probability for Computer Science Applications

Ernest Davis

A.K. Peters / CRC Press, 2012


Taking a computer scientist's point of view, this classroom-tested text gives an introduction to linear algebra and probability theory, including some basic aspects of statistics. It discusses examples of applications from a wide range of areas of computer science, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing. It includes an extensive discussion of MATLAB, and includes numerous MATLAB exercises and programming assignments. xviii + 410 pages.

Book web site: CRC Press
Matlab Code
Additional Assignments

Solutions to some assignments are available for course instructors. For information please email Susie Carlisle