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Oct 07, 2024
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STSCI 3080 - Probability Models and Inference (crosslisted) BTRY 3080 , ILRST 3080 (MQR-AS, SDS-AS) Fall, Spring. 4 credits. Student option grading.
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. Prerequisite: STSCI 2150 or STSCI 2200 /BTRY 3010 or equivalent, MATH 2130 or equivalent.
F. Bunea.
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.
Outcome 1: Students will be able to manipulate random variables and their distributions using differential and integral calculus.
Outcome 2: Students will be able to derive properties of standard probability.
Outcome 3: Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.
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