MATH-611: Scientific programming for EngineersThe students will acquire a solid knowledge on the processes necessary to design, write and use scientific software. Software design techniques will be used to program a multi-usage particles code, ai
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 & communicatio
MATH-207(d): Analysis IVThe course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems.
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.
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 practi
CS-453: Concurrent computingWith the advent of modern architectures, it becomes crucial to master the underlying algorithmics of concurrency. The objective of this course is to study the foundations of concurrent algorithms and
CS-112(g): Object oriented programmingCe cours approfondit les connaissances en programmation présentées dans le cours ICC du 1er semestre. L'accent est
mis sur l'approche «orientée objet» (en C++), la conception et la spécification de pr
CS-208: Computer architecture IThe course introduces the students to the basic notions
of computer architecture and, in particular, to the
choices of the Instruction Set Architecture and to the
memory hierarchy of modern systems.
CS-207: System oriented programmingCours de programmation en langage C se focalisant sur l'utilisation des ressources système, en particulier la gestion de la mémoire (pointeurs).
