STSCI 6520
Last Updated
- Schedule of Classes - June 16, 2025 11:41AM EDT
- Course Catalog - September 10, 2024 9:48AM EDT
Classes
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STSCI 6520
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.
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.
Prerequisites/Corequisites Corequisite: ORIE 6700 or MATH 6730, or equivalent and at least one course in probability, or permission of instructor.
Last 4 Terms Offered (None)
Outcomes
- Demonstrate knowledge of specialized statistical methods.
- Use modern statistical software and a programming language.
When Offered Spring.
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 Malott Hall 406
- Aug 26 - Dec 9, 2024
Instructors
Basu, S
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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