Class Meetings: Tuesdays 4:30 - 7:10 pm, Fine Arts Building B106, Fairfax Campus.
Pre-requisite: INFS 622 or permission of instructor
Course Description: This course addresses the issues involved in creating, curating, managing and using knowledge in e-business applications.
Topics covered in the course include
The knowledge management life cycle model;
Leadership in dynamic e-business environments;
E-business models and networks;
E-business modeling, ontologies and business rules
E-business security and reliability;
E-business middleware, integration and protocols;
XML, e-business processes, web services and semantic web services.
Grading Policy:
Your grade in the course will be determined by grades obtained in individual assignments; class participation (in-class attendance, discussion and Blackboard participation); case study discussions focused on Knowledge Management and E-Business issues; a group research project and presentation; and a Final Exam.
The breakdown of percentages is as follows:
Grade Component |
Percentage |
|---|---|
Individual and Group Assignments |
30 |
Class Attendance and Participation |
5 |
Blackboard Discussion Participation |
5 |
Group Project Contribution |
20 |
Group Project Presentation |
15 |
Final Exam |
25 |
Textbooks:
Required reading:
E-Business: Organizational and Technical Foundations, M. Papazoglou and P.M.A. Ribbers, John Wiley and Son, 2006, ISBN 0-470-84376-4.
Knowledge Management: Classic and Contemporary Works, edited by Daryl Morey, Mark Maybury and Bhavani Thuraisingham, MIT Press, ISBN 0-262-133384-9
Recommended reading:
The Semantic Web: A Guide to the Future of XML, Web Services and Knowledge Management, M. C. Daconta, L. J. Obrst, and K. T. Smith, Wiley Publishing, Inc., 2003, ISBN 0-471-43257-1
The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation, Ikujiro Nonaka, Hirotaka Takeuchi, and Hiro Takeuch, ISBN 0-19-509269-4
Working Knowledge: How Organizations Manage What They Know, Thomas H. Davenport and Laurence Prusak, Project Management Institute, 1997, p. 224, ISBN 0875846556
Data Model Patterns: A Metadata Map, David C. Hay, Morgan Kaufmann, 2006, ISBN-13: 978-0-12-088798-9; ISBN-10: 0-12-088798-3.