BTRY 3080
Last Updated
- Schedule of Classes - January 8, 2020 7:14PM EST
- Course Catalog - January 8, 2020 7:15PM EST
Classes
BTRY 3080
Course Description
Course information provided by the Courses of Study 2019-2020.
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: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or 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 Kimball Hall B11
Instructors
Bunea, F
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Additional Information
Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.
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Class Number & Section Details
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Meeting Pattern
- F Thurston Hall 203
Instructors
Bunea, F
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Class Number & Section Details
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Meeting Pattern
- M Ives Hall 305
Instructors
Bunea, F
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