COM-309: Introduction to quantum information processingInformation is processed in physical devices. In the quantum regime the concept of classical bit is replaced by the quantum bit. We introduce quantum principles, and then quantum communications, key distribution, quantum entropy, and spin dynamics. No prio ...
PHYS-114: Physique générale : électromagnétismeLe cours traite des concepts de l'électromagnétisme, avec le support d'expériences. Les sujets traités inclus l'électrostatique, le courant électrique et circuits, la magnétostatique, l'induction électromagnétique, les équations de Maxwell, et les ondes él ...
MICRO-330: CapteursPrincipes physiques et électronique utilisés dans les capteurs. Applications des capteurs. ...
PHYS-476: Advanced superconducting magnet technologiesThe course will focus on the technologies related to the practical use of superconductors, from the manufacturing to their exploitation. The course also provides some examples of the use of superconductivity for relevant applications and the main technolog ...
MICRO-435: Quantum and nanocomputingThe course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular au ...
PHYS-407: Frontiers in nanosciencesThe course covers relevant experimental and theoretical concepts in nanoscale science, from fundamental aspects like quantum tunneling and quantum size effects, to hot topics like quantum transport and nanoscale magnetism. ...
MSE-101(a): Matériaux: de la chimie aux propriétésCe 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. ...
PHYS-325: Introduction à la physique des plasmasIntroduction à la physique des plasmas destinée à donner une vue globale des propriétés essentielles et uniques d'un plasma et à présenter les approches couramment utilisées pour modéliser son comportement. Application à la fusion thermonucléaire ainsi qu' ...
PHYS-770: CIBM translational MR neuroimaging & spectroscopyMagnetic resonance imaging (MRI) and spectroscopy (MRS) will be addressed in detail, along with experimental design, data gathering and processing on MRS, structural and functional MRI in humans and rodents, and hands-on experience with MRI scanners. ...
MSE-431: Physical chemistry of polymeric materialsThe 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 characteristics of a polymer from its chemical structure and molecular ...
CH-450: Solid state chemistry and energy applicationsYou 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 applicability of several classes of materials in energy rele ...
MICRO-530: NanotechnologyThis course gives the basics for understanding nanotechnology from an engineer's perspective: physical background, materials aspects and scaling laws, fabrication and imaging of nanoscale devices. ...
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. ...
PHYS-491: Magnetism in materialsThe lectures will provide an introduction to magnetism in materials, covering fundamentals of spin and orbital degrees of freedom, interactions between moments and some typical ordering patterns. Selected experimental techniques and their application in cu ...
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. ...
