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May 22, 2026
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SNR 610 - Data Modeling and Visualization Using R3 Credit Hours
Provides graduate students with a theoretical framework for data modeling (linear models, additive models and multivariate models), data visualization, data management, and data interpretation. Will also aim to teach a practical use of program R for data management, analysis and visualization. Topics include an overview of data management principles, followed by methods in R for data wrangling, linear models, polynomial regression, generalized linear models, generalized additive models, and multivariate models, particularly ordination methods.
Credit Restriction: Students may not receive credit for both SNR 610 and FWF 690 taken during Fall 2024.
Recommended Background: A 500-level or higher statistics course is recommended prior to taking this course.
Registration Restriction(s): Minimun student level - graduate.
Registration Permission: Instructor permission.
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