ILRST 3080

Probability Models and Inference

Course Description

Course information provided by the Courses of Study 2024-2025.

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, the method of moments, sampling distributions and confidence intervals.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200 or their equivalents. MATH 1120 or equivalent and MATH 2220 or equivalent. 

Distribution Category (OPHLS-AG)

• 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.

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