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 2016-2017 Catalog.
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.
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.
When Offered Fall, spring.
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
Instruction Mode: In Person
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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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Phillips Hall 101
Instructors
Staff
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Additional Information
Instruction Mode: In Person
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