STSCI 3080
Last Updated
- Schedule of Classes - June 15, 2016 6:14PM EDT
- Course Catalog - June 9, 2016 6:15PM EDT
Classes
STSCI 3080
Course Description
Course information provided by the 2015-2016 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 Prerequisites: BTRY 3010, Calculus II, or the equivalent.
Forbidden Overlaps Forbidden Overlap: Students may receive credit for only one course in the following group: BTRY 3080/ILRST 3080/STSCI 3080, ECON 3110/ILRST 3110/STSCI 3110, ECON 3130, MATH 4710.
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.
Distribution Category (MQR)
When Offered Fall, spring.
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 3080
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Caldwell Hall 100
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 3010 , Calculus II, or the equivalent.
-
Class Number & Section Details
-
Meeting Pattern
- T Thurston Hall 205
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
Share
Disabled for this roster.