CP468 ARTIFICIAL INTELLIGENCE, FALL 2018, 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

Notes & Overheads


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 |
              |    BA208    |    BA208    |
______________|_____________|_____________|_
              |             |             |
Week 1:       |  Sep 10     |   Sep 12    |
Week 2:       |  Sep 17     |   Sep 19    |
Week 3:       |  Sep 24     |   Sep 26    |
Week 4:       |  Oct 01     |   Oct 03    |
---------------------------------------------
Fall Study Break, Oct 08 - 12 No Courses
---------------------------------------------
Week 5:       |  Oct 15     |   Oct 17    |
Week 6:       |  Oct 22     |   Oct 24    |
Week 7:       |  Oct 29 (M) |   Oct 31    |
Week 8:       |  Nov 05     |   Nov 07    |
Week 9:       |  Nov 12     |   Nov 14    |
Week 10:      |  Nov 19     |   Nov 21    |
Week 11:      |  Nov 26     |   Nov 28    |
Week 12:      |  Dec 03     |   Dec 05    |
______________|_____________|_____________|__
              |             |             |

Course Requirements/Student Evaluation