MIS 419
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Department |
Management Information Systems |
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Course Code |
MIS 419 |
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Knowledge Management and Data Mining |
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Course Credit |
3 |
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Prerequisite Course |
MIS 350 |
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Course Level |
4 |
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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. |
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Course Material |
Name of the book Irma Becerra-Fernandez, Avelino Gonzalez, Rajiv Sabherwal (2004). Knowledge Management Challenges, Solutions, and Technologies (edition with accompanying CD). Prentice Hall. ISBN: 0-13-109931-0. |
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Reading Recommendation |
Pang-Ning Tan, Michael Steinbach, Vipin Kumar (2005). Introduction to Data Mining. Addison-Wesley. ISBN-10: 0321321367. |
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Course Language |
English |
