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Oct 04, 2024
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MATH 726 - The Mathematics of Data and Networks II Credits: 3
II. Continuation of MATH 725. Develops the mathematical tools necessary for studying and handling large data-sets and networks. Includes matrix, graph, and probability theory, dimensionality reduction, clustering,maximum likelihood, Bayesian networks, sparsification, modularity,information theory, hidden Markov chains, branching processes, electrical networks, internet mathematics, random walks, random graphs, random matrices, and search algorithms.
Repeat for Credit N
Requisites: Recommended prerequisite: MATH 551, MATH 222.
Typically Offered Spring
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