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Oct 04, 2024
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STSCI 3080 - Probability Models and Inference(crosslisted) (also BTRY 3080 , ILRST 3080 ) (MQR) Fall, spring. 4 credits.
Forbidden Overlap: Students may receive credit for only one course in the following group: BTRY 3080 /ILRST 3080 /STSCI 3080, ECON 3110 /ILRST 3110 /STSCI 3110 , ECON 3125 (formerly 3210) , ECON 3130 (formerly 3190) , MATH 4710 . 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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