STSCI 5030
Last Updated
- Schedule of Classes - June 11, 2025 2:48PM EDT
Classes
STSCI 5030
Course Description
Course information provided by the 2025-2026 Catalog.
The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical predictors, residual diagnostics, anova decomposition, polynomial regression, model selection techniques, random effects and mixed models, maximum likelihood estimation and distributional theory assuming normal errors. Homework assignments will involve computation using the R statistical package.
Last 3 terms offered 2024FA, 2023FA, 2022FA
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 4030, STSCI 4030
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW
- Aug 25 - Dec 8, 2025
Instructors
Kowal, D
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
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Meeting Pattern
- M
- Aug 25 - Dec 8, 2025
Instructors
Kowal, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W
- Aug 25 - Dec 8, 2025
Instructors
Kowal, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 25 - Dec 8, 2025
Instructors
Kowal, D
-
Additional Information
Instruction Mode: In Person
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