1. Intelligent Decision Support Systems: A Summary

2. Programming project Applications to IDSS:  Analysis Tasks  Help-desk systems  Classification  Diagnosis  Tutoring  Synthesis Tasks  KBPP  E-commerce  Knowledge Management AI  Introduction  Overview IDT  Attribute-Value Rep.  Decision Trees  Induction CBR  Introduction  Representation  Similarity  Retrieval  Adaptation Rule-based Inference  Rule-based Systems  Expert Systems Summary Synthesis Tasks  Planning  Configuration Uncertainty (MDP, Utility, Fuzzy logic)

3. Uncertainty Degree of beliefs Degree of truth One decisionSequence of decision Decision theory = Probability + Utility Fuzzy Logic MDPs

4. Design Projects JeffReuse of design patterns in BlueJ OsafoReuse of templates in MS Visual C++. Detailed functionality TimReuse of web design derivational traces in Dreamweaver KiranIntelligent query re-writing for improving query answering. Scope TedEmacs environment to correct programming errors. Abstract cases ReddyGoing beyond statistics to assist (CBR) planning of a cricket game. KeExtending MS Outlook to schedule a plan of the activities. Example Shreer am Personalized navigation of web browsers. ChrisPersonalized web searches (Googleplex)