Detailed Course Information |
Fall 2024
Nov 21, 2024 |
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| MATH 50024 - COMPUTATIONAL STATISTICS |
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(Slashed with MATH 40024) This course is about the use of computational tools to manage, explore, summarize and visualize data, as well as the computational underpinnings of fitting statistical models. It uses mostly the statistical computation language R, but also other languages like Python and Matlab. It also covers: simulation and random number generation, computationally intensive methods like the bootstrap and permutation tests, Expectation-Maximization and related algorithms and dimensionality reduction via matrix decomposition. Prerequisite: Applied Mathematics major or Data Science major or Pure Mathematics major; and graduate standing.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Graduate Must be enrolled in one of the following Majors: Applied Mathematics Data Science Pure Mathematics |
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