ME290M Expert Systems in Mechanical Engineering Spring 1999, T-Th 12:30-2:00 pm 1165 Etcheverry Hall, Course Control No. 56369 http://best.me.berkeley.edu/~aagogino/me290m/s99

Introduction to expert systems, artificial intelligence and decision analysis in mechanical engineering. Fundamentals of logical inference, predicate calculus, multivariate logic, probability theory, diagnostic reasoning, risk assessment, qualitative reasoning, and analytical design. Applications to expert systems in automated manufacturing, mechanical engineering design, real time monitoring and supervisory control, and failure diagnostics. Use of automated influence diagrams/Bayes' networks to codify expert knowledge, perform probabilistic inference, and to evaluate optimal control or design decisions. All theory will be presented with engineering applications.

FINAL TERM PROJECTS: Project serves as a take-home final exam. Due on either last day of class or scheduled day of final exam (exam group 14; May 19), depending on class preference.

REQUIRED TEXTS: Joseph Giarratano and Gary Riley, Expert Systems: Principles and Programming, 3^rd Edition, PWS Publishing, 1998.

HOMEWORK: One homework set every 3 weeks and one individual project. Late homework will not be accepted. Solution sets will be provided on the due dates.

EXAMS: One midterm; individual project in lieu of final examination.