Concept
Liaison double
Cours associés (23)
CH-110: Advanced general chemistry I
Le cours comporte deux parties. Les bases de la thermodynamique des équilibres et de la cinétique des réactions sont introduites dans l'une d'elles. Les premières notions de chimie quantique sur les é
BIO-110: Bio-organic chemistry
The aim of the course is to provide a chemical understanding and intuition to decipher and predict chemical processes in living systems.
MICRO-566: Large-area electronics: devices and materials
Introduction to the physical concepts involved in the description of optical and electronic transport properties of thin-film semiconductor materials found in many large-area applications (solar cells
MSE-486: Organic electronic materials
This course will introduce students to the field of organic electronic materials. The goal of this course is to discuss the origin of electronic properties in organic materials, charge transport mecha
CH-222: Coordination chemistry
Fundamental knowledge of coordination compounds.
MSE-101(a): Materials:from chemistry to properties
Ce cours permet l'acquisition des notions essentielles relatives à la structure de la matière, aux équilibres et à la réactivité chimique en liaison avec les propriétés mécaniques, thermiques, électri
CH-244: Quantum chemistry
Introduction to Quantum Mechanics with examples related to chemistry
MSE-211: Organic chemistry
This course provides a basic foundation in organic
chemistry and polymer chemistry, including chemical nomenclature of organic compounds and polymers, an understanding of chemical structures, chemical
CH-160(b): General chemistry
Cet enseignement vise l'acquisition des notions essentielles relatives à la structure de la matière, aux équilibres et à la réactivité chimiques. Le cours et les exercices fournissent la méthodologie
MSE-431: Physical chemistry of polymeric materials
The student has a basic understanding of the physical and physicochemical principles which result from the chainlike structure of synthetic macromolecules. The student can predict major characteristic