STSCI 6520
Last Updated
- Schedule of Classes - June 11, 2025 2:48PM EDT
Classes
STSCI 6520
Course Description
Course information provided by the 2025-2026 Catalog.
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.
Last 3 terms offered 2024FA, 2023FA, 2022FA
Learning Outcomes REF-FA25
- 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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