STSCI 3080
Last Updated
- Schedule of Classes - September 9, 2021 7:14PM EDT
- Course Catalog - September 9, 2021 7:15PM EDT
Classes
STSCI 3080
Course Description
Course information provided by the Courses of Study 2020-2021.
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.
Forbidden Overlaps 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.
Distribution Category (MQR-AS, SDS-AS)
- 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, ILRST 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
- MW Online Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
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Additional Information
Instruction Mode: Online
Prerequisites: BTRY 3010 , Calculus II, or the equivalent.
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Class Number & Section Details
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Meeting Pattern
- T Online Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
-
Additional Information
Instruction Mode: Online
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Class Number & Section Details
-
Meeting Pattern
- R Online Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
-
Additional Information
Instruction Mode: Online
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