EE-519: Bioelectronics and biomedical microelectronicsThe course covers the fundaments of bioelectronics and integrated microelectronics for biomedical and implantable systems. Issues and trade-offs at the circuit and systems levels of invasive microelectronic systems as well as their eluding designs, methods ...
EE-512: Applied biomedical signal processingThe goal of this course is twofold: (1) to introduce physiological basis, signal acquisition solutions (sensors) and state-of-the-art signal processing techniques, and (2) to propose concrete examples of applications for vital sign monitoring and diagnosis ...
MICRO-618: Soft Microsystems Processing and DevicesAmongst others, following topics will be covered during the course:
- Soft Microsystems and Electronics
- Electroactive polymers
- Printed electronics and microsystems
- Inkjet printing of polymers
- Stretchable electronics
- Mechanical reliability
- Stenc ...
EE-296: Electrical systems and electronics IILes concepts de base permettant de comprendre et d'analyser les systèmes électroniques dédiés à l'acquisition et au traitement des signaux (signaux physiologique, bio-capteurs) seront abordés en théorie et en pratique. Cela englobe l'amplification, le filt ...
MSE-433: Towards sustainable materialsThis course will address and model key sustainability issues through an engineering lens. It will examine emerging materials, hard to abate, and critical materials used to manufacture items in our economy during the transition to NetZero targets and their ...
ENV-167: Introduction to environmental engineeringKey themes in environmental science and engineering will be show-cased, with examples - from equator to the poles - including atmospheric processes and climate change, water quality, energy resources and urban development, with the amazing technologies use ...
MSE-485: TribologyThis introductory course in tribology (science of friction, lubrication and wear) has specific goals : to present the basic principles of tribology, to develop the attitude to analyse tribological and
MSE-101(a): Materials:from chemistry to propertiesCe 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, électriques et magnétiques des matériaux. ...
HUM-412: The ethics of engineering IThis course provides engineers entering the workforce with a hands-on approach to figuring out what to do in ethically challenging professional situations. ...
MSE-100: Introduction to materials scienceThis course relates the structural elements of materials to their mechanical, thermal, electric, magnetic, and optical properties. Hands-on laboratories and team projects offer insight into the profession of materials engineers. ...
ENG-644: Teaching STEM: a problem solving approachProblem solving is a core engineering skill. This course explores relevant heuristics, epistemologies, metacognitive skills and evidence-informed teaching strategies for developing problem solving skills that transfer from paper-based exercises to complex, ...
EE-600: Usability engineeringIntroduction to Human Factors/Usability Engineering theory and research methods.
Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behavior and ergonomics in design. The course focus on human systems integration and ...
BIOENG-399: ImmunoengineeringImmunoengineering is an emerging field where engineering principles are grounded in immunology. This course provides students a broad overview of how engineering approaches can be utilized to study immunology, model immune systems, modulate immune response ...
ENV-200: Environmental chemistryThis course provides students with an overview over the basics of environmental chemistry. This includes the chemistry of natural systems, as well as the fate of anthropogenic chemicals in natural systems. It enables students to apply general chemical conc ...
EE-626: Graph representations for biology and medicineSystems of interacting entities, modeled as graphs, are pervasive in biology and medicine. The class will cover advanced topics in signal processing and machine learning on graphs and networks, and will showcase applications of the tools in biomedicine. ...
