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.

·	An overview of Business Intelligence and Management Support Systems
·	Fundamentals of the Decision Making Process
·	Decision Making & 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
·	DSS Implementation
·	Executive Information Systems
·	Enterprise Information Portals
·	Enterprise Resource Planning Systems (ERP)
·	Supply Chain Management 
·	Knowledge Management Systems
·	An Overview of Artificial Intelligence 
·	Expert System Fundamentals
·	Knowledge Acquisition 
·	Knowledge Representation
·	Inferencing and Validation
·	Artificial Neural Networks 
·	Genetic Algorithms 
·	Intelligent Agents
·	Fuzzy Logic

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