The objective of this course is to introduce the students to current intelligent system concepts. An overview of different learning schemes will be provided, including: Decision Tree, Bayesian, Inductive, Analytical and Rule-based Learning. The main focus of the course will be on Neural Nets, Genetic Algorithms and Reinforcement Learning. [Offered: W] Prereq: One of SYDE 223, MTE 140, ECE 250, CS 240 and Systems Design Engineering or level at least 4A Mechatronics Engineering or Mechatronics Option or Computer Engineering Option. Antireq: ECE 457A
