EDLF 8310
Generalized Linear Models
Course Description
Focus is on the generalized linear model (GLM) for cases when variables have specific non-normal conditional distributions, with emphasis on common data analytic challenges that arise in real world settings. Topics include nonlinear relationships, nominal and ordinal outcomes, discrepant data, and bootstrapping methods. Course materials are grounded in applied examples from the social and health sciences.
Instructors
Michael Hull
Spring 2026
mo 3:30pm - 6:00pm
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Rating
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Difficulty
3.94
GPA
Vivian Wong
Spring 2025
Mo 3:30pm - 6:00pm
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Rating
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Difficulty
3.83
GPA
Ji Ryoo
Fall 2016
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Rating
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Difficulty
3.85
GPA
Francis Huang
Spring 2013
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Rating
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Difficulty
3.74
GPA
Xitao Fan
Spring 2011
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Rating
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Difficulty
3.81
GPA
James Peugh
Spring 2011
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Rating
—
Difficulty
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GPA