STSCI 3740

Last Updated

  • Schedule of Classes - June 13, 2026 7:07PM EDT

STSCI 3740
Data Mining and Machine Learning

Course information provided by the 2026-2027 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 2026SP, 2025FA, 2025SP, 2024FA

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 14972 STSCI 3740   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Ning, Y

  • Instruction Mode: In Person

    Enrollment limited to: Statics and Biometry majors. 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/

  • 14973 STSCI 3740   PRJ 601

  •  
    • Aug 24 - Dec 7, 2026

    • Ning, Y

  • Instruction Mode: In Person