Catalog Entries |
Summer 2021
Apr 20, 2024 |
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| MATH 40024 - COMPUTATIONAL STATISTICS |
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(Slashed with MATH 50024) 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. Students with statistics courses from other disciplines should consult with the Department of Mathematical Sciences for possible prerequisite overrides. Prerequisites: (MATH 21001 with a minimum C grade OR MATH 21002 with a minimum C grade) AND (MATH 12022 with a minimum B grade OR MATH 20011 with a minimum C grade OR MATH 30011 with a minimum B grade OR MATH 40012 with a minimum C grade).
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
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