Concept
Topic and comment
Cours associés (32)
ME-469: Nano-scale heat transfer
In 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
MSE-424: Fracture of materials
This course covers elementary fracture mechanics and its application to the fracture of engineering materials.
ME-341: Heat and mass transfer
This course covers fundamentals of heat transfer and applications to practical problems. Emphasis will be on developing a physical and analytical understanding of conductive, convective, and radiative
CH-221: Chemistry of elements s and p
Introduction to the chemistry of the s & p elements of the periodic table.
HUM-317: Cooperation and environmental psychology
Cet enseignement abordera la formation, la modification et le maintien des comportements comportements individuels et collectifs pro-environnementaux, tels qu'étudiés par la psychologie sociale de l'
CH-450: Solid state chemistry and energy applications
You will learn about the bonding and structure of several important families of solid state materials. You will gain insight into common synthetic and characterization methods and learn about the appl
ME-213: Programmation pour ingénieur
Mettre en pratique les bases de la programmation vues au semestre précédent. Développer un logiciel structuré. Méthode de debug d'un logiciel. Introduction à la programmation scientifique. Introductio
MICRO-631: Selected topics in advanced manufacturing
The course aims at providing a comprehensive overview of ongoing advanced manufacturing research topics and an opportunity for students to investigate current research trends in one particular topic o
CH-629: Frontiers in Sustainable Chemical Synthesis
The students will become familiar with the most recent progress in sustainable synthetic chemistry, covering a broad rang of topics such as catalysis, heterocyclic chemistry, stereoselective synthesis
DH-406: Machine learning for DH
This 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