CP468 ARTIFICIAL INTELLIGENCE, WINTER 2013, 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

Important Course Information

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. Research Projects Presentations

Class Schedule, Winter Semester Timetable

            |     Tue     |     Thu     |   
            | 13:00-14:20 | 13:00-14:20 | 
            | Room N1058  | Room N1058  | 
____________|_____________|_____________|______
            |             |             |
Week 1:     |  Jan 08     |    Jan 10   |   
Week 2:     |  Jan 15     |    Jan 17   |   
Week 3:     |  Jan 22     |    Jan 24   |   
Week 4:     |  Jan 29     |    Jan 31   |   
Week 5:     |  Feb 05     |    Feb 07   |   
Week 6:     |  Feb 12     |    Feb 14   |   
____________|_____________|_____________|______________

Reading Week   Feb 18 - Feb 22   N o  C o u r s e s
_______________________________________________________
            |             |             |
Week 7:     |  Feb 26     |   Feb 28    |   
Week 8:     |  Mar 05     |   Mar 07    |   
Week 9:     |  Mar 12     |   Mar 14    |   
Week 10:    |  Mar 19     |   Mar 21    |  
Week 11:    |  Mar 26     |   Mar 28    |  
Week 12:    |  Apr 02     |   Apr 04    |   
____________|_____________|_____________|______________
            |             |             |

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Course Requirements/Student Evaluation