MIS 419 Knowledge Management and Data Mining

 

Course Information
Course Title	Knowledge Management and Data Mining
Course Code	MIS 419
Course Description	The course aims to introduce principles and concepts of Knowledge Management (KM) along with the challenges, solutions, technologies and application systems of KM. This course approaches KM from several perspectives: it covers electrical engineering, artificial intelligence, information systems, and business.  Furthermore, the course aims to introduce Data Mining (DM) techniques.  DM is about extracting useful patterns from big data aiming to find actionable knowledge in the raw of information. The rapid growth of data storage and the computing power available to analyze the data have creates valuable opportunities for data mining in business.
Prerequisite(s)	MIS 350
Course Type	Elective

 
 

Course Objectives
 

•  To understand the fundamental concepts in the study of knowledge and its creation, acquisition, representation, dissemination, use and re-use, and management.
• To appreciate the role and use of knowledge in organizations and institutions, and the typical obstacles that KM aims to overcome.
• To know the core concepts, methods, techniques, and tools for computer support of KM.
• To critically evaluate current trends of knowledge management in business and industry.
• To understand the fundamental concepts of data mining.
•  To develop an understanding of the strengths and limitations of popular data mining techniques.
•  To be able to identify promising business applications of data mining. 
•  To identify data mining techniques appropriate for particular classes of problem and apply them accordingly.
• To undertake a comparative evaluation of several data mining procedures.