Artificial Intelligence (MECE 441) Course Details

Course Name: Artificial Intelligence
Code: MECE 441
Pre-requisite Course(s): None
Objective: The primary objective of this course is to provide an introduction to the basic principles, techniques, and applications of Artificial Intelligence. Throughout this course, besides the techniques to develop intelligence, the difficulties encountered in design of intelligent mechatronic products and proposed solution strategies are also studied.
Content: Introduction to artificial intelligence, State Space Search; Uninformed (Blind) Search Techniques, Informed (Heuristic) Search Techniques, Logical Reasoning: Propositional Logic, Predicate Calculus, Probabilistic Resoning, Bayes Rule, Reasoning under uncertainty, Knowledge-Based Systems: Rule-based Expert Systems, Introduction to Machine Learning, Belief networks, Supervised learning methods, Semantic Nets, Reinforcement learning, Evolutionary methods.
Term: Spring
Theory: 3
Application: 0
Laboratory: 0
Credit: 3
Web:
ECTS Course File: Course File
Course File:
ECTS: 5