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Introduction to probability theory, moments and deviation, tail inequalities, probabilistic method, Markov Chains and Random Walks, dynamic graph algorithms, data stream algorithms, and parallel and distributed algorithms.
Prerequisite: 500 and 530 and 561
Introduction to the Theory of Computation - CS 500
Geometric and Probabilistic Methods in Computer Science - CS 530
Algorithms/Data Structure - CS 561
MSC 11 6325
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