Explores the significance of leading digits and dominant balance in engineering approximations, showcasing historical methods like slide rules and their relevance in solving challenging problems.
Analyzes energy consumption in mechanical systems, comparing the effort of an Olympic cyclist to power a toaster and discussing mechanical principles and cable selection.
Introduces a course on modeling and optimizing energy systems, emphasizing the importance of informed decision-making and teamwork in addressing energy challenges.
Outlines the Master's program in Computational Science and Engineering at EPFL, detailing its structure, curriculum, and career opportunities for graduates.
