INTRODUCTION TO ARTIFICIAL INTELLIGENCE COURSE IDENTIFICATION AND APPLICATION INFORMATION
| Code |
Name of the Course Unit |
Semester |
In-Class Hours (T+P) |
Credit |
ECTS Credit |
| BIL313 |
INTRODUCTION TO ARTIFICIAL INTELLIGENCE |
5 |
3 |
3 |
6 |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
| Week |
Preparatory |
Topics(Subjects) |
Method |
| 1 |
- |
Fundamentals of Artificial Intelligence |
- |
| 2 |
- |
Intelligence Agents |
- |
| 3 |
- |
Problem Solving and Blind Search |
- |
| 4 |
- |
Heuristic Search |
- |
| 5 |
- |
Local Search |
- |
| 6 |
- |
Adversarial Search |
- |
| 7 |
- |
Game Theory |
- |
| 8 |
- |
MID-TERM EXAM |
- |
| 9 |
- |
Application Problems |
- |
| 10 |
- |
Knowledge Representation and Inference |
- |
| 11 |
- |
Expert Systems |
- |
| 12 |
- |
Machine Learning |
- |
| 13 |
- |
Artificial Neural Network |
- |
| 14 |
- |
Robot Science |
- |
| 15 |
- |
Overview of the Course |
- |
| 16 |
- |
FINAL EXAM |
- |
| 17 |
- |
FINAL EXAM |
- |