STSCI 5030
Last Updated
- Schedule of Classes - May 16, 2024 7:30PM EDT
- Course Catalog - May 16, 2024 7:07PM EDT
Classes
STSCI 5030
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2024-2025 is scheduled to publish mid-June.
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.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, BTRY 3080 or equivalent, MATH 1920 or MATH 2130 or equivalent, MATH 2210 or equivalent, STSCI 3200/BTRY 3020 or BTRY 6020.
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 To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
-
Meeting Pattern
- M To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Yang, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Yang, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Yang, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Yang, D
-
Additional Information
Instruction Mode: In Person
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