STSCI 5520

STSCI 5520

Course information provided by the 2025-2026 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 BTRY 3080 or MATH 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  5347 STSCI 5520   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • 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/

  •  5348 STSCI 5520   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person