ILRST 3080
Last Updated
- Schedule of Classes - May 19, 2024 7:32PM EDT
- Course Catalog - May 19, 2024 7:07PM EDT
Classes
ILRST 3080
Course Description
Course information provided by the Courses of Study 2023-2024.
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: BTRY 3080, STSCI 3080, STSCI 5080
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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
- MW Phillips Hall 101
- Jan 22 - May 7, 2024
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- T Phillips Hall 219
- Jan 22 - May 7, 2024
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Hollister Hall 110
- Jan 22 - May 7, 2024
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
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