Continuation of CMPS 356. This course is intended to teach about advances in artificial intelligence. It includes advanced topics on artificial neural networks such as distributed and synergistic neural network models, hybrid artificial intelligence techniques such as neuro-fuzzy models, advanced machine learning techniques and meta-heuristic evolutionary algorithms. Each week lecture meets for 200 minutes and lab meets for 150 minutes. Prerequisites: CMPS 356.

• Teacher: Alberto Cruz