Business intelligence provides the highest level of information support to aid the manager in the decision-making process. This course provides the skills necessary to conceptualize, build, and implement systems utilizing business intelligence in organizations.
Athena Title
Business Intelligence
Equivalent Courses
Not open to students with credit in MIST 5620E
Prerequisite
MIST 4610 or MIST 4610E
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Student Learning Outcomes
The major objectives of the course are for the student to develop an understanding of the role of computers in direct support of managerial decision making based on business intelligence and to apply this understanding, as well as prerequisite programming skills, to the design of typical systems for managerial decision support.
Specifically, each student should be able to:
1. Understand how systems utilize business intelligence to support managerial
decision making.
2. Understand the concepts of decision support systems, executive information systems, knowledge management systems, data warehousing and data mining systems, knowledge management systems, collaborative technologies, artificial neural networks, and expert systems and the principles of their design.
3. Analyze typical decision situations to determine whether it is practical to support them with computer technology and, if so, how.
4. Design and implement a decision support system.
5. Understand emerging technologies and issues in the context of business intelligence as well as the management of information technology.
6. Understand decision support, expert, and group decision support system use, development, and evolution.
7. Gain an appreciation of working on systems development projects in a team environment and obtain experience with project management.
Topical Outline
An overview of Business Intelligence and Management Support Systems
Fundamentals of the Decision Making Process
Decision Making and Information Technology (IT) Support
An Overview of Decision Support Systems (DSS)
Data Warehousing
OLAP
Data Mining
Data Visualization
Customer Relationship Management (CRM)
Modeling and Analysis
Revenue Management
Group Support Systems (GSS) and other Collaborative Technologies
DSS Development and DSS Implementation
Executive Information Systems
Enterprise Information Portals and Enterprise Resource Planning Systems (ERP)
Supply Chain Management
Knowledge Management Systems
An Overview of Artificial Intelligence
Expert System Fundamentals
Knowledge Acquisition and Knowledge Representation
