BTRY 6520

BTRY 6520

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.

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

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 6520

  • 4 Credits Stdnt Opt

  • 18162BTRY 6520  LEC 001

    • MWOnline Meeting
    • Feb 8 - May 14, 2021
    • Basu, S

  • Instruction Mode: Online