Undergraduate Degrees, Majors and Concentrations

INFS4220 - Data Mining Applications
Summer 2019

Data Mining Applications offers the student an introduction to data mining and data warehousing concepts with emphasis placed on formulating and leveraging the de-normalized "star schema" data warehouse design. The statistical techniques behind the wide variety of data mining tools available are analyzed and applied. Students are introduced to the analytical principles and processes involved in data mining. Various software packages, such as XLMiner, NodeXL, and MS-Excel are used with case problems to give the student hands-on experience.
Prerequisite: ASCI2010 or STAT2110
3 Credits

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 M  Monday
 T  Tuesday
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 R  Thursday
 F  Friday
 S  Saturday
 U  Sunday

Schedule Book for All Active and Available Future Terms, Course starting with INFS4220
       
INFS4220-A Data Mining Applications
5 Seats     Credits: 3 Days: ONLINE
       Location: Internet/Online Room:
    Time: - Instructor: Stewart
    Session: 1 (05/07 - 06/28/19) Term: Summer 2019
            More Info!
      Prerequisite: ASCI2010 or STAT2110
      Course is taught Fully Online.  
 
INFS4220-A Data Mining Applications
12 Seats     Credits: 3 Days: R
       Location: Moon Room: Hale Center 304
    Time: 06:00-10:00 pm Instructor: Stewart
    Session: 3 (08/26 - 10/18/19) Term: Fall 2019
            More Info!
      Prerequisite: ASCI2010 or STAT2110
 
INFS4220-B Data Mining Applications
0/1     Credits: 3 Days: R
       Location: Moon Room: Hale Center 304
    Time: 06:00-10:00 pm Instructor: Davis
    Session: 5 (10/21 - 12/13/19) Term: Fall 2019
            More Info!
      Prerequisite: ASCI2010 or STAT2110
 
INFS4220-D Data Mining Applications
6 Seats     Credits: 3 Days: ONLINE
       Location: Internet/Online Room:
    Time: - Instructor: Stewart
    Session: 4 (10/19 - 12/13/19) Term: Fall 2019
            More Info!
      Prerequisite: ASCI2010 or STAT2110
      Course is taught Fully Online.