BTRY 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.

Forbidden Overlaps REF-FA25 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 3 terms offered 2025SP, 2024FA, 2024SP

Learning Outcomes REF-FA25

• 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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