STSCI 6520
Last Updated
- Schedule of Classes - July 3, 2024 8:11PM EDT
- Course Catalog - July 3, 2024 7:43PM EDT
Classes
STSCI 6520
Course Description
Course information provided by the Courses of Study 2024-2025.
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.
Outcomes
- Demonstrate knowledge of specialized statistical methods.
- Use modern statistical software and a programming language.
Regular Academic Session. Choose one lecture and one project.
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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
- MW Corson-Mudd A409
- Aug 26 - Dec 9, 2024
Instructors
Basu, S
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Additional Information
Instruction Mode: In Person
For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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