STSCI 5030

STSCI 5030

Course information provided by the 2026-2027 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 STSCI 2150 or STSCI 2200/BTRY 3010, BTRY 3080, MATH 1920, MATH 2210 or their equivalents, STSCI 3200/BTRY 3020 or BTRY 6020.

Last 4 Terms Offered 2025FA, 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

  • 10004 STSCI 5030   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • 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/

  • 10005 STSCI 5030   LAB 401

    • M
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 10006 STSCI 5030   LAB 402

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 10007 STSCI 5030   LAB 403

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 10008 STSCI 5030   LAB 404

    • R
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person