CP468 ARTIFICIAL INTELLIGENCE, FALL 2015, WLU

Course Description

The course covers concepts and techniques in artificial intelligence and machine learning.

Prerequisites

CP213 Introduction to Object-Oriented Programming

Instructor

Dr. Ilias S. Kotsireas
Office: N2076A, Office Hours: 24/7 and by appointment, Phone: 884-0710 ext. 2218, E-Mail: ikotsireATwlu.ca

Course Textbook

Artificial Intelligence: A Modern Approach (3rd Edition), S. Russell, P. Norvig, Prentice Hall

Textbook Support Website http://aima.cs.berkeley.edu


Lecture Topics (corresponding to the 12 weeks schedule)

  1. Introduction, Intelligent Agents
  2. Problem solving, searching
  3. Metaheuristics I: Local Search, Tabu Search, Hill Climbing
  4. Metaheuristics II: Simulated Annealing, Genetic Algorithms, Ant Colony Optimization
  5. Constraint Satisfaction Problems
  6. Automated Reasoning, Prolog
  7. Knowledge Representation
  8. Knowledge-based systems
  9. Machine Learning
  10. Neural Networks I: Architectures, Pattern Classification
  11. Neural Networks II: Single-layer, Multi-layer
  12. Term Projects Presentations

Class Schedule, Fall Semester Timetable

            |     Mon     |     Wed     |   
            | 17:30-18:50 | 17:30-18:50 | 
            | Room N1057  | Room N1057  | 
____________|_____________|_____________|______
            |             |             |
Week 1:     |  Sep 14     |    Sep 16   |   
Week 2:     |  Sep 21     |    Sep 23   |   
Week 3:     |  Sep 28     |    Sep 30   |   
Week 4:     |  Oct 05     |    Oct 07   |   
____________|_____________|_____________|______________

Reading Week   Oct 12 - Oct 16   N o  C o u r s e s
_______________________________________________________
            |             |            |
Week 5:     |  Oct 19     |   Oct 21   |
Week 6:     |  Oct 26     |   Oct 28   |
Week 7:     |  Nov 02     |   Nov 04   |   
Week 8:     |  Nov 09     |   Nov 11   |   
Week 9:     |  Nov 16     |   Nov 18   |   
Week 10:    |  Nov 23     |   Nov 25   |  
Week 11:    |  Nov 30     |   Dec 02   |  
Week 12:    |  Dec 07     |   Dec 09   |   
____________|_____________|____________|______________
            |             |             |

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Course Requirements/Student Evaluation