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Summer 2021
Oct 22, 2021
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Information Select the desired Level or Schedule Type to find available classes for the course.

MATH 50024 - COMPUTATIONAL STATISTICS
(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 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
      Pure Mathematics

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