EE586 ARTIFICIAL INTELLIGENCE
| Course Code: | 5670586 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. AFŞAR SARANLI |
| Offered Semester: | Fall Semesters. |
Course Objectives
The purpose of this course is to teach the fundamentals of intelligent behavior and decision making by machines. By the end of this course, you will have gained an overall view of a fairly diverse range of methods and technologies for automated decision making as well as practical applications of these techniques in scientific, engineering and commercial problems. Hopefully, you will be at a point to use this knowledge to advance your research goals or to find more competitive engineering solutions in your work.
Course Content
Exploiting natural constraints. Problem solving; Description matching and goal reduction, finding solution paths, games. Logic. Knowledge representation. Natural Language understanding. Applications of AI.