INFS6720-A Data Mining (Spring 2017)
Course Details
Section will be taught totally online with no scheduled class meetings. Students must arrange for daily access to a computer and the Internet prior to the start of classes. Robert Morris labs are to be used only as a backup in special situations and may not be relied upon for extended periods of time. In addition to the Internet link, online classes have a large emphasis on email. All messages from the instructor and other information regarding online classes, including user ids, passwords, and login instructions will be sent to your Robert Morris University email account. Visit http://rmu.blackboard.com/ for more information.
Session, Dates: 4 (03/04/2017 - 04/29/2017)
Days: ONLINE
Time: -
Location: Internet/Online
Room:
Seats Available: 3 Seats
Credits: 3
Course Description
This course 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 iData Analyzer, MS-Excel, SPSS, and/or Cognos may be used with case problems to give the student hands-on experience."
Course Materials
Visit the Bookstore. Click for required materials for this course.About the Instructor(s)
Diane A. Igoche, Ph.D.
igoche@rmu.edu
412-397-3536 phone
412-397-6469 fax
Wheatley Center 142
Profile
Part-Time Faculty
Computer and Information Systems
igoche@rmu.edu
412-397-3536 phone
412-397-6469 fax
Wheatley Center 142
Profile