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Artificial Intelligence Laboratory

MIS 480/580 "Knowledge Management"

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Knowledge Management (KM) is a discipline that promotes an integrated approach to identifying, capturing, sharing and evaluating an enterprise's information and knowledge assets. This course reviews and discusses existing enabling technologies in KM and new, emerging KM technologies and practices. Such technologies are presented in the context of emerging Internet, data mining, e-commerce, and enterprise computing applications. Graduate-level requirements for MIS 580 include an additional term paper.

Working on a project
Students use team work for a variety of class projects.

Syllabus and Important Materials (Spring 2009)

  1. MIS 480/580 Syllabus
  2. MIS480/580 Trends & Controversies
  3. MIS 480/580 Knowledge Management Reading List
  4. Hsinchun Chen, (2001), Knowledge Management Systems: A Text Mining Perspective
  5. Hsinchun Chen, (2002), Trailblazing a Path Towards Knowledge and Transformation
  6. Data Mining in Sports: A Research Overview (Osama Solieman)

Other Course-Related Materials

  1. Jim Collins, GOOD TO GREAT
  2. Jane C. Linder, Spiral Up...and Other Management Secrets Behind Wildly Successful Initiatives
  3. Sloan Management Review: Summer 2004 KM Articles (0.41M)
  4. Sloan Management Review: Putting Ideas to Work (knowlege management can make a difference-but it needs to be more pragmatic)
  5. Knowledge is playoff power, USA Today (Oct 3, 2006) (23.3M)
  6. Eight trends and eight hottest skills for '08
  7. Knowledge Mangement Lessons Learned (Chp 2)
  8. Xerox Tries to Go Beyond Copiers, The Wall Street Journal (Feb 24, 2009)
  9. Web 2.0: Introduction (Dr. Hsinchun Chen)
  10. Tim O'Reilly, (2005), What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software
  11. Web 2.0 (Wikipedia)
  12. Web 2.0 ... The Machine is Us/ing Us (YouTube).
  13. Public Sports Data Sets for Course Project
  14. Sports Data Sources and Data Extraction
  15. Hsinchun Chen and Mihail Roco (2008), Mapping Nanotechnology Innovations and Knowledge: Global and Longitudinal Patent and Literature Analysis (Chapter 2&3)
  16. An Integrated Approach to Mapping Worldwide Bioterrorism Research Capabilities
  17. USPTO Patent Data Source and Data Extraction
  18. Hsinchun Chen, et al., "Trends in Nanotechnology Patents," Nature Nanotechnology, Vol.3, March 2008
  19. Worldwide Nanotechnology Development: A Comparative Study of USPTO, EPO, and JPO Patents
  20. Knowledge Management, Social Network Analysis, and Knowledge Discovery for Homeland Security
  21. Hsinchun Chen, et al., (1994) "Expert Prediction, Symbolic Learning, and Neural Networks: An Experiment on Greyhound Racing," IEEE EXPERT, 9 (6), 21-27
  22. Lecture Notes: AI and Knowledge Representation
  23. Major Web Intelligent Tools
  24. Web Marketing Research (Dr. Hsinchun Chen)
  25. Virginia E. Barker, et.al., (1989)EXPERT SYSTEMS FOR CONFIGURATION AT DIGITAL: XCON AND BEYOND, Communications of the ACM

Slides

Sample Projects

 2008 Spring

Student Presentations

2009

  1. Web 2.0: Trends and Controversy in User Created Content and Social Networking, Clayton Badeaux and Pooja Bhandari.
  2. Web 2.0 as a KM Tool (how it can be leveraged for E-Government), Robert Jentoft-Valenzuela, Daniel Nordstrom, Travis Shirk.
  3. Knowledge Management and Politics 2.0, Adam Aronoff, Ben Gray, Preston Troy.
  4. E-Government and Knowledge Management, Noyan Ilk, Shaokun Fan, Xiao (Erin) Yao.
  5. Social Networking and KM, by Daniel Castro, Alvaro Mendizabal, Eric Villanueva.

2008

  1. Working knowldge CH 1-4, Nick Drewanz, Shanthan Garlapati, Tracy Teeter
  2. Working knowldge CH 5-9, Diana Anderson, Chin ho Chung, Alisher Yuldashev, Nelly Zapata
  3. HBR on KM CH 1-3, Luis Barreda, D. Sean McBride, Deepika Nim, Jagadish Ramamurthy, James Sanford
  4. HBR on KM CH 4-6, Gabe Hazlewood, Josh Hottenstein, James Chen
  5. HBR on KM CH 7-8, Mikhail Averbukh, Scott Brown, Brian Chase
  6. KM Most-Cited 1-3, Shilpa Govada, Rachana Pejaver, Shirish Kandekar, John Wahlman
  7. KM Most-Cited 4-6, Harsha Gunnam, Hetal Mehta, Nargis Memon, Manish Wadhwa
  8. KM Most-Cited 7-9, Abhijit Kumar, Kaijia Bao, Vishal Rupani
  9. KM Most-Cited 10-12, not available

2007

  1. Working knowldge CH 1-4, Presentation: Rahul Sharma; Discussion: Casey Tealdi
  2. Working knowldge CH 5-9, Presentation: Casey Tealdi; Discussion: Francisco Gonzalez
  3. HBR on KM CH 1-3, Presentation: An Yan; Discussion: Harry Xenophontos
  4. HBR on KM CH 4-6, Presentation: Harihur Dsilva; Discussion: Rahul Sharma
  5. HBR on KM CH 7-8, Presentation: Harry Xenophontos; Discussion: Harihur Dsilva
  6. KM Most-Cited 1-3, Presentation: Francisco Gonzalez; Discussion: An Yan
  7. KM Most-Cited 4-6, Presentation: Hsin-Min Lu
  8. KM Most-Cited 7-9, not available
  9. KM Most-Cited 10-12, not available

2005

  1. Working knowldge CH 1-4, Presentation: D'Mello, Elridge; Discussion: Haidar, Laila
  2. Working knowldge CH 5-9, Presentation: Sage, Jonathan; Discussion: Gaekwad, Karthi
  3. HBR on KM CH 1-3, Presentation: Solieman, Osama; Discussion: Salem, Arab
  4. HBR on KM CH 4-6, Presentation: Haidar, Laila; Discussion: Solieman, Osama
  5. HBR on KM CH 7-8, Presentation: Moguieu Fezeu, Laure; Discussion: D'Mello, Elridge
  6. KM Most-Cited 1-3, Presentation: Abu-shaheen, Lana; Discussion: Sage, Jonathan
  7. KM Most-Cited 4-6, Presentation: Ho, Anh Tuan; Discussion: Thoms, Sven
  8. KM Most-Cited 7-9, Presentation: Salem, Arab; Discussion: Moguieu Fezeu, Laure [not available]
  9. KM Most-Cited 10-12, Presentation: Gaekwad, Karthik; Discussion: Abu-shaheen, Lana
  10. KM Most-Cited 13-15, Presentation: Thoms, Sven; Discussion: Loveland, Shawn
  11. KM Most-Cited 16-18, Presentation: Loveland, Shawn; Discussion: Ho, Anh Tuan

2004

  1. Working knowldge CH 1-4, Presentation: Popat, Rimal & Sadagopan, Madhusudhana; Discussion: Vaze, Jaideep & Yang, Pei-ju
  2. Working knowldge CH 5-9, Presentation: Jatoi, Mansoor & Iype, Nithin; Discussion: Raghuram, Bharadwaj & Muehlbauer, William
  3. HBR on KM CH 1-3, Presentation: Coolidge, Carolyn & Debono, Joseph; Discussion: Visipkov, Vladimir & Kim, Yun
  4. HBR on KM CH 4-6, Presentation: Suakkaphong, Nichalin; Discussion: Coolidge, Carolyn & Debono, Joseph
  5. HBR on KM CH 7-8, Presentation: Raghuram, Bharadwaj & Muehlbauer, William; Discussion: Fry, Michael & Fu, Yih-jong
  6. KM Most-Cited 1-3, Presentation: Vaze, Jaideep & Yang, Pei-ju; Discussion: Popat, Rimal & Sadagopan, Madhusudhana
  7. KM Most-Cited 4-6, Presentation: Fry, Michael & Fu, Yih-jong; Discussion: Martinez, Manuel & Lee, Yi-hsuan
  8. KM Most-Cited 7-9, Presentation: Vladimir Visipkov & Yun Kim; Discussion: Jatoi, Mansoor & Iype, Nithin
  9. KM Most-Cited 10-12, Presentation: Manny Martinez & Yi-Hsuan Lee; Discussion: Nichalin Suakkaphong

 

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