ILRST 3080

Probability Models and Inference

Course Description

Course information provided by the 2025-2026 Catalog.

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.

Prerequisites STSCI 2150 or STSCI 2200, MATH 1120 and MATH 2220 or their equivalents.

Forbidden Overlaps BTRY 3080, ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110

Distribution Requirements (DLS-AG, OPHLS-AG), (SDS-AS), (ICE-IL)

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP

Learning 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.

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