STSCI 6520

Last Updated

  • Schedule of Classes - September 9, 2021 7:14PM EDT
  • Course Catalog - September 9, 2021 7:15PM EDT

STSCI 6520
Computationally Intensive Statistical Methods

Course information provided by the Courses of Study 2020-2021.

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.  Combined with: BTRY 6520

  • 4 Credits Stdnt Opt

  • 18161 STSCI 6520   LEC 001

  •  
    • MW Online Meeting
    • Feb 8 - May 14, 2021

    • Basu, S

  • Instruction Mode: Online
    Corequisites: ORIE 6700/Math 6730 (or equivalent) and at least one course in probability, or permission of instructor.