ILRST 5080

Last Updated

  • Schedule of Classes - January 14, 2015 6:16PM EST
  • Course Catalog - January 14, 2015 6:21PM EST

ILRST 5080
Probability Models and Inference

Course information provided by the Courses of Study 2014-2015.

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 3010, Calculus II, 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, BTRY 5080, STSCI 3080, STSCI 5080

  • 4 Credits Stdnt Opt

  • 15090 ILRST 5080   LEC 001

  •  

  • Instruction Mode:
    Prerequisites: BTRY 3010, Calculus II, or the equivalent.

  • 15091 ILRST 5080   DIS 201

  •  

  • Instruction Mode:

  • 15098 ILRST 5080   DIS 202

  •  

  • Instruction Mode:

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 5080, STSCI 5080

  • 4 Credits Stdnt Opt

  • 18341 ILRST 5080   LEC 002

  •  

  • Instruction Mode:

  • 18342 ILRST 5080   DIS 203

  •  

  • Instruction Mode: