Prof, ast
Computer Science
Computer Science Building
Rolla, MO 65409
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: 02:00 PM - 03:15 PM TR 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 |
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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 | OPEN | 73043 | 102 |
Course Access Information | ||||
Learning Management System | Canvas |