STSCI 3740

Last Updated

  • Schedule of Classes - March 17, 2025 8:55AM 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 REF-FA25/Corequisites REF-FA25 CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710. Corequisites: None.

Forbidden Overlaps REF-FA25 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 (None)

View Enrollment Information

Syllabi: none

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

  • 4 Credits Opt NoAud

  •  4731 STSCI 3740   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Bettache, N

  • Instruction Mode: In Person

    Formerly STSCI 4740. Course content and difficulty unchanged; still fulfills 4000-level STSCI/BTRY major requirements.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7166 STSCI 3740   PRJ 601

  •  
    • TBA
    • Aug 25 - Dec 8, 2025

    • Bettache, N

  • Instruction Mode: In Person