STSCI 3740

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM EDT

STSCI 3740
Data Mining and Machine Learning

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.

Forbidden Overlaps CS 3780, CS 5780, ECE 3200, ECE 5420, ORIE 3741, ORIE 5741, STSCI 3740, STSCI 5740

Distribution Requirements (DLG-AG, OPHLS-AG), (SDS-AS)

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Opt NoAud

  •  5437 STSCI 3740   LEC 001

  •  
    • TR
    • Jan 20 - May 5, 2026

    • Ning, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5920 STSCI 3740   PRJ 601

  •  
    • Jan 20 - May 5, 2026

    • Ning, Y

  • Instruction Mode: In Person