The course will be conducted in a seminar style to develop students' analytical abilities in the area of KM and knowledge management systems. Topics included: Overview of Knowledge Management; The Nature of Knowledge; Knowledge Management Solutions; Organizational Impacts of Knowledge Management; Factors Influencing Knowledge Management; Knowledge Management Assessment of an Organization; Technologies to Manage Knowledge ( Artificial Intelligence, Digital Libraries, Repositories, etc); Preserving and Applying Human Expertise: Knowledge-Based Systems; Using Past History Explicitly as Knowledge ( Case-Based Systems); Knowledge Elicitation (Converting Tacit Knowledge to Explicit); Discovering New Knowledge ( Data Mining); Systems (Knowledge Discovery, Systems that Create Knowledge; Knowledge Capture Systems; Systems that Preserve and Formalize Knowledge; Concept Maps, Process Modeling, RSS, Wikis, Delphi Method; Knowledge Sharing Systems: Systems that Organize and Distribute Knowledge; Ontology Development Systems, Categorization and Classification Tools, XML-Based Tools). Class time will be divided into lecture, discussions, and student presentations.
