1.Student will demonstrate understanding of inference engines by hand-
computing their operations.
2.Student will demonstrate understanding of standard methods for
knowledge representation by constructing knowledge bases for appropriate
tasks.
3.Student will write critiques of classic expert systems and other examples
provided for analysis.
4.Student will complete a major project in small expert system development.
   a. Student will identify a domain, a problem, and at least one available
       expert.
   b. Student will interview expert(s) and organize data.
   c. Student will provide a study showing the feasibility
      of the project, including a conceptual analysis of the problem and the
      method of solution.
   d. Student will develop an expert system using an appropriate programing
       language or expert system shell.
   e. Student will write complete documentation for the system.
   f. Student will critique his/her own project, providing benchmarks,
      discussion of features present or absent, and a justification
      for the choice of techniques.

I. Inference Engines (Rule Production Systems, Logic Programming,
    EMYCIN, Non-monotonic systems)
II. Knowledge Representation (Clauses and Rules, Frames and Scripts,
    Defaults)
III. Classic Systems (MYCIN, DENDRAL, PROSPECTOR, etc.)
IV. Expert System Shells (Personal Consultant, ESP Advisor, APES, etc.)
V. Knowledge Acquisition
VI. Problem Analysis
VII. User Interfaces.