Course

AR-401(k): Studio MA1 (LDM)

Related courses (465)

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.

HUM-489: Comment enseigner la durabilité I

Impliquez-vous dans l'éducation à la durabilité grâce aux théories de l'apprentissage, au tutorat et à des approches qualitatives fondées sur des preuves empiriques. Développez vos compétences pour en

AR-302(as): Studio BA6 (Peris et Toral)

Habitat and comfort, architectures of the air, collective housing, climate as site, study trip: Mallorca

AR-402(as): Studio MA2 (Peris et Toral)

Habitat and comfort, architectures of the air, collective housing, climate as site, study trip: Mallorca

AR-301(ah): Studio BA5 (Malterre-Barthes)

"To be useful, helpful, of assistance to someone:" The "In Service of: Le Mirail" studio reflects on the architectural project as a form of public service. It explores how architecture and design tool

AR-401(ah): Studio MA1 (Malterre-Barthes)

PHYS-754: Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way.

ENV-501: Material flow analysis and resource management

This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases.

DH-406: Machine learning for DH

This course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple

PHYS-431: Quantum field theory I

The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions.

CS-330: Artificial intelligence

Introduction aux techniques de l'Intelligence Artificielle, complémentée par des exercices de programmation qui montrent les algorithmes et des exemples de leur application à des problèmes pratiques.