
| Course Code | : RTS370 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The aim of this course is to introduce the fundamental principles of artificial intelligence and provide students with an understanding of key components such as algorithms, machine learning, data processing, and decision-making systems. The course also aims to raise general awareness of AI applications across various domains.
This course covers the basic concepts, historical development, and current application areas of artificial intelligence. Students will gain foundational knowledge in problem-solving, knowledge representation, learning algorithms, machine learning, natural language processing, expert systems, and ethical considerations. The course also includes case studies of AI applications in sectors such as healthcare, transportation, media, and finance.