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Jennifer Leopold

Prof, asoc
Computer Science
325 Computer Science
Rolla, MO 65409

573-341-4491 | leopoldj@mst.edu

Comp Sci 5402: Introduction to Data Mining

The key objectives of this course are two-fold: (1) to teach the fundamental concepts of data mining and (2) to provide extensive hands-on experience in applying the concepts to real-world applications. The core topics to be covered in this course include classification, clustering, association analysis, data preprocessing, and outlier/novelty detection.

Time/Day: 01:00 PM - 01:50 PM MWF
Prerequisites: A grade of "C" or better in all of Comp Sci 2300, Comp Sci 2500, and one of Stat 3113, Stat 3115, Stat 3117 or Stat 5643.
Units: 3
Course Component(s): Lecture

Attention Distance Students

For live class lectures, you will log in using the Zoom UM System link in Canvas. For accessing class recordings, you will need to contact your instructor directly.

Enrollment Information
Campus Delivery Mode Class Status Class Nbr Section
Distance Education Online FULL 73242 102

Course Access Information
Learning Management System Canvas