Artificial intelligence and decision making for health and medicine

The course aims to equip students with knowledge and tools to develop a critical understanding of artificial
intelligence techniques and decision-making processes in healthcare and medicine. Students will gain the capability
to discern the potential applications of these methods for both research and practical purposes.

At the conclusion of the course, students will attain the following learning outcomes:
· Gain insight into the methodological aspects associated with machine learning techniques.
· Establish connections between artificial intelligence and decision making.
· Show a thorough understanding of the differences between supervised and unsupervised learning
techniques.
· Grasping the applications of artificial intelligence and decision making in the domains of health and
medicine