ChE-601: Hands-on with Research Data Management in ChemistryPhD students in Chemistry will learn hands-on Research Data Management (RDM) skills transferable to their research practices. They will
contextualize their research into RDM best practices (day 1), discover appropriate tools (day 2) and work on a project ( ...
EE-411: Fundamentals of inference and learningThis is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternate, between mathematical theoretical foundations and prac ...
PHYS-202: Mécanique analytique (pour SPH)Ce cours propose une introduction à la mécanique analytique. Il introduit les formalismes lagrangien et hamiltonien, en insistant sur leur capacité à simplifier la description des systèmes contraints, des symétries et des lois de conservation. Il présente ...
MSE-464: Assembly techniquesIntroduction to the assembly of materials by homogeneous or heterogeneous joints (welding, bonding, mechanical assembly). Mechanical and environmental resistance of joints. ...
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. ...
MSE-101(b): 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, magnétiques et optiques des matériaux. ...
MATH-341: Linear modelsRegression modelling is a fundamental tool of statistics, because it describes how the law of a random variable of interest may depend on other variables. This course aims to familiarize students with linear models and some of their extensions, which lie a ...
AR-686: Bad BooksThis is a methodological PhD course focused on the history and close reading of a book that has been important in the history of architecture. The course is the second episode of a cycle of lectures and seminars on the studies of Microhistory. ...
NX-422: Neural interfacesNeural interfaces (NI) are bioelectronic systems that interface the nervous system to digital technologies. This course presents their main building blocks (transducers, instrumentation & communication), reviews current and upcoming materials and technolog ...
PHYS-432: Quantum field theory IIThe goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions such as Quantum Electrodynamics. ...
AR-481: Architecture in the age of accelerationThis course proposes to investigate six strategies for architecture in the age of acceleration: Acceleration, Regionalism, Participation, Transformation, Commonality and Resilience. Anchoring these strategies in recent architectural history, it will explor ...
ME-629: Fundamentals of Fracture with Fundamental PapersThe principles of fracture mechanics, from the energy balance approach of Griffith through modern computational approaches, will be introduced using key papers. Phase-field modeling and atomistic processes in fracture, as well as experimental developments, ...
ME-623: Advances in Contact MechanicsThis reading class will meet every Friday afternoon to discuss the book of Christopher Scholz (one chapter every two weeks). Class discussions will emphasize a mechanistic understanding of geophysical phenomena, with in depth discussions of fracture mechan ...
