Course

ChE-606: AI in chemistry and beyond: Trends in the field

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MICRO-331: Microfabrication technologies

The student will learn process techniques and applications of modern micro- and nanofabrication, as practiced in a clean room, with a focus on silicon, but also multi-material microsystems and flexibl

MICRO-488: Project in photonics

The student applies the skills acquired in an academic or industrial research project in the domain of optics and photonics.

EE-201: Electromagnetics II : field computation

Ce cours traite de l'électromagnétisme dans le vide et dans les milieux continus. A partir des principes fondamentaux de l'électromagnétisme, on établit les méthodes de résolution des équations de Max

BIO-468: Scientific literature analysis in computational molecular biology

The goal of this course is to learn to analyze a scientific paper critically, asking whether the data presented support the conclusions that are drawn. The analysis is presented in the form of a summa

BIO-411: Life Sciences engineering: genome to function

Students will acquire fundamental knowledge regarding how genomes can be engineered, how their function can be deciphered, and how their dynamic outputs can be analyzed and modeled.

AR-341: Building technology VI

TdB VI utilise des descriptions détaillées de projets de bâtiments pour examiner la relation entre l'enveloppe, la structure et les conditions environnementales internes, avec pour toile de fond la pr

PHYS-751: Advanced concepts in particle accelerators

Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new id

PHYS-324: Classical electrodynamics

The goal of this course is the study of the physical and conceptual consequences of Maxwell equations.

CH-420: Understanding advanced molecular simulation

This course introduces advanced molecular simulation techniques such as Monte Carlo and Molecular dynamics in different ensembles, free energy calculations, rare events, Configurational-bias Monte Car

HUM-432: How people learn: Designing Learning Tools I

The students will understand the cognitive and social factors which affect learning - particularly in science and engineering. They will be able to use social research techniques as part of the design