Outlines the Master's program in Computational Science and Engineering at EPFL, detailing its structure, curriculum, and career opportunities for graduates.
Outlines the Master in Computational Science and Engineering at EPFL, detailing its structure, admission criteria, and career opportunities for graduates.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.
Delves into the theory of material activation, proposing a unified mathematical framework to model how multiple stimuli can produce changes at the macroscopic level.
Addresses the challenges and strategies for engineering education in Switzerland, focusing on quality, student needs, and the evolving demands of the labor market.
