This course covers topics of expert systems methodology including knowledge engineering, knowledge representation, inference, languages, and tools. By the conclusion of the course, students should understand the architecture of expert systems and be able to design and develop a prototype expert system. Students are expected to attend all classes unless prevented by illness or other unforeseen situations. Projects are to be turned in at the beginning of the class period on which they are due.
Every student is required to attend exams according to the scheduled time.
Any exceptions must be made in advance. Cheating during tests or Plagiarizing somebody s intellectual properties in your papers is a serious violation. Penalties include no credit, disciplinary probation, suspension, or dismissal from the class, program or the university. Design and Development , Prentice Hall, NJ, 1994. Efraim Turban, Expert Systems and Artificial Intelligence , MacMillan, NY, 1992.