STSCI 6520
Last Updated
- Schedule of Classes - May 30, 2025 7:20PM EDT
- Course Catalog - May 30, 2025 7:07PM EDT
Classes
STSCI 6520
Course Description
Course information provided by the Courses of Study 2024-2025. The Catalog/Courses of Study 2025-2026 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.
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
- Aug 25 - Dec 8, 2025
Instructors
El Alaoui, A
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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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