STSCI 3740

STSCI 3740

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

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced topics which may include - depending on the audience - Resampling Methods, Tree-based Methods, or Support Vector Machines. The statistics software R is introduced and used for applications.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.

Distribution Category (SDS-AS) (OPHLS-AG)

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  •  6895 STSCI 3740   LEC 001

  • Instruction Mode: In Person
    Formerly STSCI 4740. Course content and difficulty unchanged; still fulfills 4000-level STSCI/BTRY major requirements.
    For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 11396 STSCI 3740   PRJ 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ning, Y

  • Instruction Mode: In Person