STSCI 5030

Last Updated

  • Schedule of Classes - April 13, 2026 10:10AM EDT

STSCI 5030
Linear Models with Matrices

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, STSCI 3080, MATH 1920, MATH 2210 or their equivalents, STSCI 3200 or STSCI 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: STSCI 4030

  • 4 Credits Stdnt Opt

  • 15012 STSCI 5030   LEC 001

  •  
    • MW
    • Aug 24 - Dec 7, 2026

    • Kowal, D

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students. All others should add themselves to the waitlist during add/drop.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 15013 STSCI 5030   LAB 401

  •  
    • M
    • Aug 24 - Dec 7, 2026

    • Kowal, D

  • Instruction Mode: In Person

  • 15014 STSCI 5030   LAB 402

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Kowal, D

  • Instruction Mode: In Person

  • 15015 STSCI 5030   LAB 403

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Kowal, D

  • Instruction Mode: In Person

  • 15016 STSCI 5030   LAB 404

  •  
    • R
    • Aug 24 - Dec 7, 2026

    • Kowal, D

  • Instruction Mode: In Person