STSCI 6520

STSCI 6520

Course information provided by the Courses of Study 2022-2023.

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.

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 18269 STSCI 6520   LEC 001

    • MW Olin Hall 145
    • Aug 22 - Dec 5, 2022
    • Basu, S

  • Instruction Mode: In Person
    Prerequisite: BTRY 3080, BTRY 4030 and BTRY 4090 (or equivalent). Previous programming experience in R is required.