ILRST 3080

Last Updated

  • Schedule of Classes - June 19, 2018 12:09PM EDT
  • Course Catalog - March 23, 2018 2:31PM EDT

ILRST 3080
Probability Models and Inference

Course information provided by the Courses of Study 2017-2018.

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.

When Offered Fall, spring.

Prerequisites/Corequisites Prerequisite: BTRY 3080, Calculus II, Multivariable calculus, or the equivalent.

Outcomes
  • Students will be able to manipulate random variables and their distributions using differential and integral calculus.
  • Students will be able to derive properties of standard probability.
  • Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080, STSCI 3080

  • 4 Credits Stdnt Opt

  • 17860 ILRST 3080   LEC 001

  •  

  • 17861 ILRST 3080   DIS 201

  •  

  • 17862 ILRST 3080   DIS 202

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