STSCI 6520

STSCI 6520

Course information provided by the Courses of Study 2023-2024.

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.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • 11022 STSCI 6520   LEC 001

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

  • 19189 STSCI 6520   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Basu, S

  • Instruction Mode: In Person