STSCI 4520
Last Updated
- Schedule of Classes - May 19, 2024 7:32PM EDT
- Course Catalog - May 19, 2024 7:07PM EDT
Classes
STSCI 4520
Course Description
Course information provided by the Courses of Study 2023-2024.
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.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: BTRY 3080 or MATH 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.
Distribution Category (SDS-AS)
- Students will be able to enter, manipulate and plot data and run basic statistical analyses in R.
- Students will be able to implement estimators for non-standard statistical problems in R.
- Students will be able to simulate random variables and random experiments in R.
- Students will be able to design and implement Monte Carlo methods to evaluate integrals and perform simulations.
- Students will be able to design and conduct appropriate resampling methods to estimate sampling variance for statistical estimates.
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 5520
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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 Phillips Hall 203
- Jan 22 - May 7, 2024
Instructors
Guinness, J
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3080 or Math 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.
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Class Number & Section Details
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Meeting Pattern
- F Hollister Hall B14
- Jan 22 - May 7, 2024
Instructors
Guinness, J
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Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
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