MAT 500 - Selected Topics

Description
Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester. Class Notes: Course Description: This course covers the concepts, methods, and applications of regression analysis focusing on simple linear regression, multiple linear regression, and logistic regression models. Topics include parameter estimation and testing, prediction, regression diagnostics and model adequacy checking, variable selection and model building.PREREQ: MAT 331 and (MAT 222 or MAT 421 or MAT 525).
Credits
3
Recent Professors
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Recent Semesters
Spring 2020, Fall 2019, Fall 2018, Spring 2018
Offered
MW, TuTh
Avg. Class Size
24
Avg. Sections
1