STSCI 5520

STSCI 5520

Course information provided by the Courses of Study 2021-2022.

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their application to statistical estimation, generating random variables, bootstrap, jackknife and permutation methods, Markov Chain Monte Carlo methods, Bayesian inference and computing with latent variables.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: BTRY 3080 or MATH 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 4520

  • 4 Credits Stdnt Opt

  • 20277 STSCI 5520   LEC 001

  • Instruction Mode: In Person
    Prerequisite: BTRY 3080 or Math 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.

  • 20278 STSCI 5520   LAB 401

  • Instruction Mode: In Person

  • 20279 STSCI 5520   LAB 402

  • Instruction Mode: In Person