STSCI 6520

Last Updated

  • Schedule of Classes - March 17, 2025 8:55AM EDT

STSCI 6520
Statistical Computing I

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.


Prerequisites REF-FA25/Corequisites REF-FA25 Prerequisites: None. ORIE 6700 or MATH 6730, or equivalent and at least one course in probability, or permission of instructor.

Last 4 terms offered (None)

Outcomes REF-FA25

  • Demonstrate knowledge of specialized statistical methods.
  • Use modern statistical software and a programming language.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Opt NoAud

  •  6234 STSCI 6520   LEC 001

  •  
    • MW
    • Aug 25 - Dec 8, 2025

    • El Alaoui, A

  • Instruction Mode: In Person

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

  •  7165 STSCI 6520   PRJ 601

  •  
    • TBA
    • Aug 25 - Dec 8, 2025

    • El Alaoui, A

  • Instruction Mode: In Person