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
Prerequisites / Corequisites
Elements of Mathematical Statistics and Probability Theory - STAT **345
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