Explores how music communicates emotions through various features and syntactic structures, impacting listeners' responses and performers' expressions.
Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.
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 in Computational Science and Engineering at EPFL, detailing its structure, admission criteria, and career opportunities for graduates.
