Geometric and Probabilistic Methods in Computer Science

CS 530 (3)

Introduction to applied mathematics for computer scientists. Specific topics include discrete and continuous random variables (including transformation and sampling), information theory, Huffman coding, Markov processes, linear systems theory, Fourier transforms, principal component analysis, and wavelet transforms.

Prerequisite: STAT 345.