STSCI 5520

STSCI 5520

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4520

  • 4 Credits Stdnt Opt

  •  8808 STSCI 5520   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8809 STSCI 5520   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person