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Apr 29, 2024
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2020-2022 Catalog Volume XXX Ver 3 [ARCHIVED CATALOG]
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MAT 5111 Probability and Statistics
Lecture: 5 Lab: 0 Practica: 0 Total Credits: 5
This course focuses on the mathematical foundations of probability theory and statistical data analysis. Students are instructed on how to perform statistical analysis for research and predictive probability for data management and optimization. Topics include zero-one laws, probability inequalities, weak and strong laws of large numbers, central limit theorems, rates of convergence, Bayesian probability modeling, hierarchical and mixture models, tree models, Gaussian processes, and nonparametric Bayesian strategies.
Prerequisite(s): Program Admission
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