Knowledge and understanding

• Understand the ideal standards of decision-making both in individual and interactive context
• Understand why people fail to cope with ideal standards
• Heuristics in decision-making and associated biases
• Prospect theory and associated formal modeling of decision making
• Understand how indirect suggestions can influence decisions (nudging)

Applying knowledge and understanding

• Determination of the optimal course of action in different contexts, with examples from clinical decision making and economic decisions
• Analysis of the typical decision course of individuals, with critical analysis of their limits
• Use of software for building and visualizing decision trees

Making judgements

The course presents various theoretical perspectives on each phenomenon discussed and highlights open questions related to cutting-edge knowledge domains. The examination methods encourage and stimulate critical thinking, informed independent judgement, design skills, problem-solving, and synthesis abilities. Through discussions and case studies, the course trains students in independent data evaluation, the construction of causal models, and inductive hypothesis testing. Group work and exercises on the theoretical content covered in lectures are proposed to foster independent judgement and critical reasoning.

Communication Skills

The course promotes the development of communication skills through in-class discussions of exercises and more theoretical aspects of the course. The exam includes open-ended questions that require the use of appropriate technical language and the ability to clearly and coherently convey the issues addressed.

Learning Skills

The course provides a solid theoretical and practical foundation that enables students to independently pursue further learning in related advanced topics. It encourages autonomous exploration and in-depth study of the topics covered, peer discussion, and active and critical learning.