STSCI 5520
Last Updated
- Schedule of Classes - October 15, 2026 7:07PM EDT
Classes
STSCI 5520
Course Description
Course information provided by the 2026-2027 Catalog.
This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their application to statistical estimation, generating random variables, bootstrap, jackknife and permutation methods, Markov Chain Monte Carlo methods, Bayesian inference and computing with latent variables.
Prerequisites background equivalent to: STSCI 3080 or MATH 4710.
Corequisites MATH 2220 and MATH 2240; or equivalents.
Enrollment Information Recommended prerequisites: programming experience.
Last 4 Terms Offered 2026SP, 2025SP, 2024SP, 2023SP
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 4520
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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
- Jan 25 - May 11, 2027
Instructors
Kent, D
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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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