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- >Geometric and Probabilistic Methods in Computer Science
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.
Elements of Mathematical Statistics and Probability Theory - STAT **345
MSC11 6325
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