Concept
Work motivation
Cours associés (26)
ENV-418: River eco-morphology
Le cours traite les interactions entre l'hydraulique, le transport solide par charriage et l'espace cours d'eau à l'origine de la morphologie et de la richesse des habitats. La théorie de régime est p
MATH-111(a): Linear Algebra
L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire et ses applications.
CS-411: Digital education
This course addresses the relationship between specific technological features and the learners' cognitive processes. It also covers the methods and results of empirical studies: do student actually l
ME-467: Turbulence
This course provides an introduction to the physical phenomenon of turbulence, its probabilistic description and modeling approaches including RANS and LES. Students are equipped with the basic knowle
CS-491: Introduction to IT consulting
This course is an introduction to the alignment of enterprise needs with the possibilities offered by Information Technology (IT). Using a simulated business case, we explore how to define the require
MGT-483: Optimal decision making
This course introduces the theory and applications of optimization. We develop tools and concepts of optimization and decision analysis that enable managers in manufacturing, service operations, marke
PHYS-403: Computer simulation of physical systems I
The two main topics covered by this course are classical molecular dynamics and the Monte Carlo method.
AR-365: Theory and architectural culture
Le cours offre un résumé de la théorie et la culture architecturales depuis 1789 dans le monde occidentale. Le but est de comprendre des textes dans lesquels l'architecture est définie comme une disci
AR-366: Theory and architectural culture: exercises
Le cours offre une méthode pour discerner et comprendre les idées, les théories et les valeurs culturelles dans des bâtiments et des projets d'architecture.
CS-433: Machine learning
Machine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and pr