Knowledge Management And Business Intelligence

Catalog description

This course explores the theories, strategies, methods, and tools for managing organizational knowledge and making business decision more efficiently and effectively through utilizing intelligent Information Systems (IS) in a fast-paced, highly competitive, global environment. Topics include decision making process and modeling, decision support systems, expert systems, artificial intelligence, data mining, knowledge representation and reasoning, etc. Typically offered Fall Spring Summer. Prerequisite(s): MGMT 21100 FOR LEVEL UG WITH MIN. GRADE OF C- OR ISM 21100 FOR LEVEL UG WITH MIN. GRADE OF C- OR BIA 21100 FOR LEVEL UG WITH MIN. GRADE OF C- Course Learning Outcomes 1. Be able to describe the generic characteristics of DSSs. 2. Appreciate the difference between a decision support system and a management information system. 3. Recognize various special classes of DSSs. 4. Be clear about the distinction between a DSS and a DSS development tool. 5. Be conversant with basic DSS terminology including language system, knowledge system, presentation system, and problem processing system. 6. Have studied a variety of knowledge management techniques that can be used in decision support systems. View Class Schedule