- Schedule of Classes - June 30, 2022 7:27PM EDT
- Course Catalog - June 30, 2022 7:14PM EDT
Course information provided by the Courses of Study 2022-2023.
Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization and finding zeros (likelihood and related techniques), random number generation and Monte Carlo methods, bootstrap and subsampling, dimension reduction, nonlinear predictive modeling and parallel computing. Programming will be done in R.
When Offered Spring.
Prerequisites/Corequisites Corequisite: ORIE 6700 or MATH 6730, or equivalent and at least one course in probability, or permission of instructor.
- Demonstrate knowledge of specialized statistical methods.
- Use modern statistical software and a programming language.
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- MW To Be Assigned
- Aug 22 - Dec 5, 2022
Instruction Mode: In Person
Prerequisite: BTRY 3080, BTRY 4030 and BTRY 4090 (or equivalent). Previous programming experience in R is required.
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