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Nov 24, 2024
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MATH154 PO - Computational StatisticsWhen Offered: Each fall.
Instructor(s): G. Chandler; J. Hardin
Credit: 1
An introduction to computationally intensive statistical techniques. Topics may include: random variable generation, Markov Chain Monte Carlo, tree based methods (CART, random forests), kernel based techniques (support vector machines), optimization, other classification, clustering & network analysis, the bootstrap, dimension reduction techniques, LASSO and the analysis of large data sets. Theory and applications are both highlighted. Algorithms will be implemented using statistical software. Prerequisites: MATH 031 PO or MATH 032 PO ; and MATH 058 PO .
Satisfies the following General Education Requirement(s), subject to conditions explained in the Degree Requirements section of this Catalog:
Area 5
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