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Explores autonomy in technology, analyzing autonomous vehicles and historical theories of autonomy.
Explores determinism in technology and society, roles of designers and healthcare professionals, and the importance of diverse perspectives.
Explores the integration of machine learning into discrete choice models, emphasizing the importance of theory constraints and hybrid modeling approaches.
Delves into the history and evolution of EPFL, focusing on key milestones and achievements that have shaped its success over the years.
Introduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.
Covers the study of the Human Visual System, including anatomy, color perception, retina processing, and focus of attention models.
Explores the ethical implications of AI, emphasizing transparency and accountability in its applications.
Covers the Ethics and Law of AI, addressing relevant ethical and legal questions and providing insights on AI regulation.
