STSCI 6520
Last Updated
- Schedule of Classes - June 18, 2017 7:14PM EDT
- Course Catalog - June 14, 2017 7:15PM EDT
Classes
STSCI 6520
Course Description
Course information provided by the Courses of Study 2016-2017.
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
Regular Academic Session. Combined with: BTRY 6520
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Corson-Mudd A106
Instructors
Basu, S
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Additional Information
Corequisites: ORIE 6700/Math 6730 (or equivalent) and at least one course in probability, or permission of instructor.
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