STSCI 5030

STSCI 5030

Course information provided by the Courses of Study 2024-2025.

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, BTRY 3080, MATH 1920, MATH 2210 or their equivalents, STSCI 3200/BTRY 3020 or BTRY 6020.

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  7020 STSCI 5030   LEC 001

    • MW Olin Hall 255
    • Aug 26 - Dec 9, 2024
    • Yang, 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/

  •  7021 STSCI 5030   LAB 401

  • Instruction Mode: In Person

  •  7022 STSCI 5030   LAB 402

  • Instruction Mode: In Person

  •  7090 STSCI 5030   LAB 403

    • W Upson Hall 222
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: In Person

  •  7091 STSCI 5030   LAB 404

    • R Warren Hall 101
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: In Person