Related courses (36)
MATH-110(a): Advanced linear algebra I - vector spaces
L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire (pour les futurs mathématiciens) et de démontrer rigoureusement les résultats principaux de ce sujet.
PHYS-467: Machine learning for physicists
Machine 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
ME-428: Data-driven design & fabrication methods
There is an increasing need for data-driven methods for automated design and fabrication of complex mechanical systems. This course covers methods for encoding the design space, optimization and sear
PHYS-100: Advanced physics I (mechanics)
La Physique Générale I (avancée) couvre la mécanique du point et du solide indéformable. Apprendre la mécanique, c'est apprendre à mettre sous forme mathématique un phénomène physique, en modélisant l
ME-467: Turbulence
This course provides an introduction to the physical phenomenon of turbulence, its probabilistic description and modeling approaches including RANS and LES. Students are equipped with the basic knowle
ME-343: Compressible-fluid dynamics
Fluides compressibles, vitesse sonique, ondes de choc, détente.
MATH-504: Integer optimisation
The course aims to introduce the basic concepts and results of integer optimization with special emphasis on algorithmic problems on lattices that have proved to be important in theoretical computer s
ME-101: Mechanical construction I (for ME)
Le cours ME-101 vise à l'acquisition des règles et du langage normalisé de la communication technique, et des bases de la conception mécanique. Ce cours intègre des travaux pratiques d'initiation à la
ME-106: Mechanical construction I (for MT)
Le cours ME-106 vise à l'acquisition des règles et du langage normalisé de la communication technique, et des bases de la conception mécanique. Ce cours intègre des travaux pratiques d'initiation à la
MATH-413: Statistics for data science
Statistics lies at the foundation of data science, providing a unifying theoretical and methodological backbone for the diverse tasks enountered in this emerging field. This course rigorously develops

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.