COEN 166 / 266
Syllabus  Project Instructor Lecture Notes


Sample Midterm
Practice Midterm 2nd part
Sample Final

Artificial Intelligence

Course Description: Artificial intelligence viewed as knowledge engineering. Historical perspective. Problems of representation: AI as a problem in language definition and implementation. Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint propagation, constrained search, inheritance, and other problem-solving paradigms. Applications of identification trees, neural nets, genetic algorithms, and other learning paradigms. Speculations on the contributions of human vision and language systems to human intelligence. Prerequisites: COEN 019 or MATH 52.
Units: 4

© 2009 Thomas Schwarz, S.J., COEN, SCU SCU COEN T. Schwarz COEN 166