BTRY 3080

Probability Models and Inference

Course Description

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

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

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 3080, ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3110, STSCI 3080.

Last 4 Terms Offered 2025SP, 2024FA, 2024SP, 2023FA

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.

Distribution Category (OPHLS-AG)

When Offered Fall, Spring.

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