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Detailed Course Information


Spring 2023
Mar 21, 2023
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MATH 627 - Generalized Linear Models with Applications
Methods needed to analyze non-normal data. Topics include exponential family of distributions, an overview of generalized linear models. Models for continuous, discrete, and count data. Prerequisite or parallel: MATH 621 or DSCI 602 or permission of the department chairperson.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Immersive Learning, Study Abroad, Societal Issue/Global Chal

Mathematical Sciences Department

Must be enrolled in one of the following Levels:     

Graduate level MATH 621 Minimum Grade of D- or Graduate level DSCI 602 Minimum Grade of D-

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