STSCI 5030

STSCI 5030

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.


Prerequisites REF-FA25/Corequisites REF-FA25 STSCI 2150 or STSCI 2200/BTRY 3010, BTRY 3080, MATH 1920, MATH 2210 or their equivalents, STSCI 3200/BTRY 3020 or BTRY 6020. Corequisites: None.

Last 4 terms offered (None)

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 4030STSCI 4030

  • 4 Credits Opt NoAud

  •  4842 STSCI 5030   LEC 001

    • MW
    • Aug 25 - Dec 8, 2025
    • Kowal, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  4843 STSCI 5030   LAB 401

    • M
    • Aug 25 - Dec 8, 2025
    • Kowal, D

  • Instruction Mode: In Person

  •  4844 STSCI 5030   LAB 402

    • W
    • Aug 25 - Dec 8, 2025
    • Kowal, D

  • Instruction Mode: In Person

  •  4898 STSCI 5030   LAB 403

    • W
    • Aug 25 - Dec 8, 2025
    • Kowal, D

  • Instruction Mode: In Person

  •  4899 STSCI 5030   LAB 404

    • R
    • Aug 25 - Dec 8, 2025
    • Kowal, D

  • Instruction Mode: In Person