MSE-422: Advanced metallurgyThis course covers the metallurgy, processing and properties of modern high-performance metals and alloys (e.g. advanced steels, Ni-base, Ti-base, High Entropy Alloys etc.). In addition, the principles of computational alloy design as well as approaches fo ...
PREPA-094: Informatique et calcul scientifique (pour MAN)Une introduction à la programmation Python est donnée en parallèle de l'algorithmique (recherche, tri, graphes) et de l'analyse numérique (équations non linéaires, intégration numérique). Les méthodes sont analysées, implémentées et comparées.
CS-101: Advanced information, computation, communication IDiscrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics as diverse as mathematical reasoning, combinatorics, disc ...
CS-308: Introduction to quantum computationThe course introduces the paradigm of quantum computating in an axiomatic way. We introduce the notions of quantum bits, gates, and circuits. We introduce themost important quantum algorithms. We also touch upon error-correcting codes. This course is indep ...
ChE-320: Bioreactor modeling and simulationThe course of Bioreactor modeling and simulation focuses on the principles of algorithmic design and analysis of
biochemical reactors. The application of these designed reactors would be in the production line of the of
pharmaceutical, biotech and chemical ...
ME-474: Numerical flow simulationThis course provides practical experience in the numerical simulation of fluid flows. Numerical methods are presented in the framework of the finite volume method. A simple solver is developed with Matlab, and a commercial software is used for more complex ...
URB-404: Computational methods in urban studiesCMUS will focus on acquiring insights into, engaging with, and modeling the processes of spatial transformation in contemporary societies. It will integrate statistical techniques and critical urban theory in order to promote socially and environmentally f ...
CS-411: Digital educationThis course addresses the relationship between specific technological features and the learners' cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? In fall 2025, P. Dillenbourg w ...
CS-433: Machine learningMachine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. ...
CH-630: Drug DiscoveryThe course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, i ...
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...
BIO-603(PA): Practical - Persat LabThe student will learn how to:
- perform high resolution microscopy of single bacterial cells
- perform a motility assay
- operate high resolution microscope
- analyze image data ...
MATH-805: Summer School on RNLAA diverse group of lecturers delivers lectures that span foundational concepts as well as advanced topic in randomized numerical linear algebra, including techniques for matrix factorizations, eigenvalue computations, and the solution of linear systems.
ME-427: Networked control systemsThis course offers an introduction to control systems using communication networks for interfacing sensors, actuators, controllers, and processes. Challenges due to network non-idealities and opportunities offered by communication will be analyzed. ...
CS-119(h): Information, calcul, communicationL'objectif de ce cours est d'initier les étudiants à la pensée algorithmique, de les familiariser avec les fondamentaux de l'informatique et des communications et de développer une première compétence en programmation avec le langage Python. ...
COM-490: Large-scale data science for real-world dataThis hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...
DH-405: Foundations of digital humanitiesThis course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their proc ...
