STSCI 6520

Last Updated

  • Schedule of Classes - November 21, 2024 7:58PM EST
  • Course Catalog - November 21, 2024 7:07PM EST

STSCI 6520
Statistical Computing I

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Spring.

Prerequisites/Corequisites Corequisite: ORIE 6700 or MATH 6730, or equivalent and at least one course in probability, or permission of instructor.

Outcomes
  • 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 Stdnt Opt

  •  9418 STSCI 6520   LEC 001

  •  
    • MW Malott Hall 406
    • Aug 26 - Dec 9, 2024

    • Basu, S

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

  • 11395 STSCI 6520   PRJ 601

  •  
    • TBA
    • Aug 26 - Dec 9, 2024

    • Basu, S

  • Instruction Mode: In Person