Course Catalog

INFS4220 - Data Mining Applications

Spring 2017

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: STAT2110
3 Credits

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

Schedule Book for All Active and Available Future Terms, Course starting with INFS4220
Page 1 of 1
Credits: 3
Days: W
Location: Moon
Room: Hale Center 306
Time: 06:00-08:50 pm
Instructor: Tu
Session: 1 (01/16/2024 - 05/03/2024)
Term: Spring 2024

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room: Hale Center 209
Time: -
Instructor: Stewart
Session: 4 (06/29/2024 - 08/23/2024)
Term: Summer 2024
Course is taught Fully Online.

Credits: 3
Days: R
Location: Moon
Room: Hale Center 306
Time: 06:00-08:50 pm
Instructor: ** Staff **
Session: 1 (08/26/2024 - 12/13/2024)
Term: Fall 2024

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: ** Staff **
Session: 4 (10/19/2024 - 12/13/2024)
Term: Fall 2024
Course is taught Fully Online.