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Dec 15, 2025
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University General Course Catalog 2021-2022 ARCHIVED CATALOG: LINKS AND CONTENT ARE OUT OF DATE. CHECK WITH YOUR ADVISOR.
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STAT 745 - Computational Methods in Statistics (3 units)
Computing using statistical software. Resampling and simulation: bootstrap, Monte Carlo, and Markov chain methods. Numerical inference for non-standard models. Bayesian inference. Advanced graphics.
Prerequisite(s): STAT 667 or STAT 726 or STAT 754 . Recommended Preparation: MATH 330 ; STAT 645.
Grading Basis: Graded
Units of Lecture: 3
Offered: Every Spring
Student Learning Outcomes
Upon completion of this course, students will be able to:
1. organize and present information in graphical and numerical forms to support concise, comprehensible, and scientifically defensible written conclusions/knowledge to research problems.
2. create computational solutions to answer statistical questions for traditional and non-standard models using a high-level programming language.
3. organize computational research findings in a professional report suitable for presentation to a variety of audiences
Click here for course scheduling information. | Check course textbook information
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