| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Artificial Intelligence Systems | MEM388 | 6. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Assoc. Prof. Dr. Ferzan KATIRCIOĞLU |
| Instructors | |
| Assistants | |
| Goals | This is your lesson, but to educate students about the various lower branches of artificial intelligence. |
| Course Content | Artificial intelligence and expert systems, Artificial intelligence programming languages: Prolog, Artificial intelligence programming languages: Lisp, Game programming, Artificial neural networks, Artificial neural network applications: image processing, Artificial neural network applications: robot, Artificial neural network applications: system and character fuzzy logic, fuzzy logic applications: fuzzy-pid, ant colony optimization, CKO applications, Genetic Optimization, GO applications. |
| Learning Outcomes |
- Having basic knowledge about artificial intelligence. - Problem solving with artificial intelligence methods. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Artificial intelligence and expert systems. | Verbal Expression |
| 2. Week | Artificial intelligence and expert systems. | Verbal Expression |
| 3. Week | Artificial intelligence programming languages: Prolog, Lisp | Verbal Expression |
| 4. Week | Artificial intelligence programming languages: Prolog, Lisp | Verbal Expression |
| 5. Week | Artificial intelligence programming languages: Prolog, Lisp | Verbal Expression |
| 6. Week | Game programming | Verbal Expression |
| 7. Week | Artificial neural networks. | Verbal Expression |
| 8. Week | Artificial Neural Networks | |
| 9. Week | Artificial neural network applications: image processing | Verbal Expression |
| 10. Week | Artificial neural network applications: robot | Verbal Expression |
| 11. Week | Artificial neural network applications: system and character recognition | Verbal Expression |
| 12. Week | Fuzzy logic, fuzzy logic applications: fuzzy-pid, ant column optimization | Verbal Expression |
| 13. Week | Genetic Optimization | Verbal Expression |
| 14. Week | Genetic Optimization | Verbal Expression |
| Steven L.Tanimoto, The Elements of Artificial Intelligence: An Introduction Using LISP, Computer Science Press. |
| James A.Freeman, David M.Skapura, Neural Networks, Algorithms, Applications and Programming Techniques, Addison Wesley, 1991. |
| Chin-Teng Lin, C.S.G. Lee, Neural Fuzzy Systems, Prentice Hall, 1996. |
| Program Requirements | Contribution Level | DK1 | DK2 | Measurement Method |
|---|---|---|---|---|
| PY3 | 5 | 5 | 5 | 40,60 |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Midterm 1 | 50 | 1 | 50 |
| Final | 77.5 | 1 | 77.5 |
| Total Workload | 127.5 | ||
| ECTS Credit of the Course | 5.0 | ||
