ME-469: Nano-scale heat transferIn this course we study heat transfer (and energy conversion) from a microscopic perspective. First we focus on understanding why classical laws (i.e. Fourier Law) are what they are and what are their
ME-403: Applied mechanical designStudents will be exposed to hands-on design problems throughout the term. They will acquire methodologies to (1) address open ended engineering problems, (2) cultivate creativity, (3) support decision
DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple
AR-102: Studio BA2Le cours vise à l'acquisition des outils essentiels au projet et à une compréhension de l'architecture comme savoir-faire, pensée, et attitude qui interroge l'inscription des êtres vivants dans leur e
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
CIVIL-607: Communication for Research EngineersCommunication proficiency is one of the most important results of a good PhD and postdoc experience and it is valued
equally in academia and in industry. EPFL PhD students and postdocs are expected to
AR-201(m): Studio BA3 (Taillieu)A house is the simple topic of this studio. A matter of simple complexity. Starting as reference from an architect's drawing and a pavilion; constructing a "space to be". Then making two houses, "a pl
