INFS4220-A Data Mining Applications (Spring 2021)

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: 2 (01/09/2021 - 03/05/2021)
Days: ONLINE
Time: -
Location: Internet/Online
Room:
Seats Available: No Seats 4 Waiting
Credits: 3

Course Description

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

About the Instructor(s)

John C. Stewart, Ph.D.
Associate Professor of Computer and Information Systems
Computer and Information Systems

stewartj@rmu.edu
412-397-6442 phone
412-397-6469 fax
Wheatley Center 326
Profile