DISC9110-A Business Intelligence (Fall 2018 Doctoral)
For additional course information, First Class requirements, syllabus, etc., check the About The Instructor(s) section for a link to a Faculty Website.
Course Details
Session, Dates: 1 (08/20/2018 - 12/14/2018)
Days: APPT
Time: -
Location: Moon Campus
Room:
Seats Available: APPT
Credits: 3
Course Description
This course provides a comprehensive introduction to the concepts, techniques and applications of business intelligence (BI). In this course, students are introduced to Data Warehousing architectures and the technical concerns involved: hardware and software issues, databases, data cubes, OLAP, ROLAP, and MOLAP. An overview of current analytics tools and concepts is also provided, including data/text/Web mining methods for trend and sentiment analysis, Big Data, Business Performance Management (BPM), and other analytical components and technologies used to develop intelligent systems for decision support.
Course Materials
About the Instructor(s)
Paul J. Kovacs, Ph.D.
kovacs@rmu.edu
412-397-6446 phone
412-397-6469 fax
Wheatley Center 302
Profile
Part-Time Faculty
Computer and Information Systems
kovacs@rmu.edu
412-397-6446 phone
412-397-6469 fax
Wheatley Center 302
Profile