CP468 ARTIFICIAL INTELLIGENCE, FALL 2022, 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, Phone: 884-0710 ext. 2218, E-Mail: ikotsireATwlu.ca

Important Course Information

Office Hours

  1. Please e-mail me to book an individual appointment at my office or on skype/zoom.

For authentication/security purposes, please include your Laurier Student ID, and your first and last name, in all communcations regarding the course.

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 and Fall Semester Timetable

              |     Mon     |     Wed     |    
              | 17:30-18:50 | 17:30-18:50 |
              |    BA110    |    BA110    |
______________|_____________|_____________|___________
              |             |             |       
Week 1:       |  Sep 12     |    Sep 14   |   
Week 2:       |  Sep 19     |    Sep 21   |   
Week 3:       |  Sep 26     |    Sep 28   |   
Week 4:       |  Oct 03     |    Oct 05   |   
______________|_____________|_____________|____________
              |
Reading Week  |  Oct 10 - Oct 14  N o   C o u r s e s
______________|_______________________________________
              |             |             |        
Week 5:       |  Oct 17     |   Oct 19    |   
Week 6:       |  Oct 24     |   Oct 26  M |   
Week 7:       |  Oct 31     |   Nov 02    |   
Week 8:       |  Nov 07     |   Nov 09    |   
Week 9:       |  Nov 14     |   Nov 16    |   
Week 10:      |  Nov 21     |   Nov 23    |   
Week 11:      |  Nov 28     |   Nov 30    |   
Week 12:      |  Dec 05     |   Dec 07    |   
______________|_____________|_____________|___________
              |             |             |          

Course Requirements/Student Evaluation