BTRY 3080
Last Updated
- Schedule of Classes - February 6, 2017 7:14PM EST
- Course Catalog - February 6, 2017 7:15PM EST
Classes
BTRY 3080
Course Description
Course information provided by the Courses of Study 2016-2017.
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.
When Offered Fall, spring.
Prerequisites/Corequisites Prerequisite: BTRY 3010, Calculus II, or the equivalent.
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.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 3080, STSCI 3080
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Malott Hall 228-Bache Aud
Instructors
Bunea, F
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Additional Information
Prerequisites: BTRY 3010, Calculus II, or the equivalent.
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Class Number & Section Details
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Meeting Pattern
- F Phillips Hall 219
Instructors
Staff
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Class Number & Section Details
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Meeting Pattern
- M Phillips Hall 101
Instructors
Staff
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