Courses of Study 2019-2020 
    
    Dec 14, 2019  
Courses of Study 2019-2020
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STSCI 3080 - Probability Models and Inference

(crosslisted) BTRY 3080 , ILRST 3080  
(MQR-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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