CS-112(i): Object oriented programmingL'objectif de ce cours est de développer des compétences de base en programmation. L'accent sera mis sur l'approche orientée-objet laquelle renforce la réutilisabilité, la maintenabilité et la fiabili
CS-450: Algorithms IIA first graduate course in algorithms, this course assumes minimal background, but moves rapidly. The objective is to learn the main techniques of algorithm analysis and design, while building a reper
MSE-471: Biomaterials (pour MX)The course introduces the main classes of biomaterials used in the biomedical field. The interactions with biological environment are discussed and challenges highlighted. State of the art examples pe
EE-490(j): Lab on cell-free synthetic biologyThe cell-free synthetic biology course introduces engineers to the most commonly used techniques required to conduct work in Biotechnology and Bioengineering. Additionally, this course is an experimen
EE-536: Physical models for micro and nanosystemsStudents will learn simple theoretical models, the theoretical background of finite element modeling as well as its application to modeling charge, mass and heat transport in electronic, fluidic and e
MSE-305: Introduction to atomic-scale modelingThis course provides an introduction to the modeling of matter at the atomic scale, using interactive Jupyter notebooks to see several of the core concepts of materials science in action.
ENG-366: Signals, instruments and systemsThe goal of this course is to transmit knowledge in sensing, computing, communicating, and actuating for programmable
field instruments and, more generally, embedded systems. The student will be able
BIO-373: Genetics and genomicsThe theoretical part of this course covers classical genetics and contemporary genomics. Because bioinformatics has become important for genomic research, the course also includes practical applicatio
