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.


Last 3 terms offered 2024FA, 2023FA, 2022FA

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  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