Mathematics for Computer Science

This course covers topics in advanced calculus and statistics which are needed in many application domains in computer science. The approach is to use examples in fitting statistical models to data as alaunching pad for considering aspects of vector calculus and statistical testing. Such numerical statistical models come up in computer vision, artificial intelligence, computer security, network analysis, distributed computing and many other applications. The course will develop required methods in calculus such as multiple integrations, directional derivatives, and Lagrange multipliers. Basic statistical models and fitting via regression will be developed as well as basic numerical optimization. The course will conclude with group projects demonstrating mastery of the material.

033323