
| Course Code | : MTK637 |
| Course Type | : Area Elective |
| Couse Group | : Third Cycle (Doctorate Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The purpose of this course is to introduce and to understand the significance of artificial intelligence in computer science, and the course aims to gain the ability of researching using modern approaches in this field in both theoretically and practically.
Introduction to Artificial Intelligence, Knowledge representation, Production rules, inclusion hierarchies, prepositional and predicate calculus, Knowledge representation, Rules of inference, frames, semantic networks, constraints and syntactic approaches, Searching Algorithms, Learning Algorithms, Decision trees, Neural networks, Genetic algorithms, Expert systems, robotics, computer vision, natural language processing, speech recognition.