May 13, 2021  
2017-2018 Graduate Catalog 
    
2017-2018 Graduate Catalog [ARCHIVED CATALOG]

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MATH 725 - The Mathematics of Data and Networks I

Credits: 3

Develops the mathematical tools necessary for studying and handling large datasets 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.

Requisites:
Recommended prerequisite: Math 551, MATH 222.

Typically Offered
Fall


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