- Schedule of Classes - May 13, 2021 7:15PM EDT
- Course Catalog - May 13, 2021 7:16PM EDT
Course information provided by the Courses of Study 2020-2021.
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. Combined with: BTRY 6520
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- MWOnline Meeting
- Feb 8 - May 14, 2021
Instruction Mode: Online
Corequisites: ORIE 6700/Math 6730 (or equivalent) and at least one course in probability, or permission of instructor.
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