Statistical Computing (STAT*4000)
Code and section: STAT*4000*01
Term: Fall
Details
The topics in this course will include pseudorandom number generation, numerical optimization as used in statistics, simulation study design, Monte Carlo integration and variance reduction, and bootstrapping. Other topics may include permutation tests, visualization of multivariate data, and big data.
Syllabus
Attachment | Size |
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Course Outline (Fall 2018) | 205.31 KB |
Course Outline (Fall 2020) | 161.98 KB |
Course Outline (Fall 2021) | 245.16 KB |
Course Outline (Fall 2022) | 240.2 KB |
Course Outline (Fall 2023) | 262.86 KB |