Metropolitan State University

MIS 686 : Advanced Data Mining Tools

A. Course Description
Credits: 2
Lab Hours/ Weeks: Corequisites: None
Lecture Hours/ Week :  
MnTC Goals: None
 
The course gives students an opportunity to start with several Business Problems which require Data Mining techniques like classification, estimation, clustering. Students are supposed to research on Data Mining vendors/tools to find Strengths & Weaknesses for selected Data Mining tools Students are supposed to use 5 groups of Data Mining tools selection criteria: Hardware/OS/Networking, Data reparation/Manipulation, User Interface/Model Output, Algorithms & Manageability, Support/Documentation/Training. The course gives students an opportunity to exercise advanced Data Exploration and Mining software (developed by Synera Systems, Inc.) to analyze Retail Customer Behavior. Students are supposed to use a macro language to document Data Quality problems. Introduction to E-Customer Behavior is also a part of this course.
B. Course Effective Dates: 01/22/2003 - Present
C. Outline of Major Content Areas:
See Course Description for major content areas.
D. Learning Outcomes (General)
    None
E. Learning Outcomes (MN Transfer Curriculum)
This contains no goal areas.
G. Special Information
None