| ÖÇ1 | Explains the fundamental principles of artificial intelligence and machine learning, and their role in health informatics. |
| ÖÇ2 | Applies basic machine learning algorithms (regression, classification) on health data and interprets the results. |
| ÖÇ3 | Evaluates the benefits and limitations of AI and machine learning applications in healthcare (disease prediction, image analysis). |
| ÖÇ4 | Uses appropriate metrics to assess the performance of machine learning models. |
| ÖÇ5 | Analyzes data privacy, ethical, and legal issues arising from the use of AI in healthcare and proposes solutions. |
| ÖÇ6 | Understands the importance of multidisciplinary teamwork in AI healthcare projects and identifies the requirements for participating in such teams. |