ILRST 3080

Last Updated

  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:19AM EDT
Global toggle of class tabs

Links for textbooks and Cornell Store open in new tab.

ILRST 3080
Probability Models and Inference

Course information provided by the Courses of Study 2023-2024.

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: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or 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, STSCI 5080

  • 4 Credits Stdnt Opt

  • 10911 ILRST 3080   LEC 001

  •  

  • 10912 ILRST 3080   DIS 201

  •  

  • 10913 ILRST 3080   DIS 202

  •