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> RESOURCES > MOOC

MOOC : on-line courses at the Ecole Normale Supérieure

Massive on-line open courses (MOOCs) are rapidly changing the transmission of knowledge.

The ENS hopes to contribute through its participation in this pedagogical experiment to an ongoing commitment to the democratization of knowledge in higher education but also to cultural and scientific sharing.

For more information click here on Coursera’s ENS page

MOOC: Massive On-Line Open Courses
FLOT: Formation en Ligne Ouverte à Tous, a MOOC given in French

 

Cartographie thématique

Apprendre à réaliser des cartes ? C’est ce que propose ce cours grâce à des vidéos, des exercices, un forum. A la fin de la formation, vous maîtriserez les principes de la sémiologie graphique, et vous saurez les mettre en œuvre pour construire des cartes thématiques simples et de qualité.

Professeurs

Alexis Gonin, Anne Le Fur

Approximation Algorithms Part I

How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum.
Professeur
Claire Mathieu

Droit international et droit comparé: regards croisés

An Introduction to the contemporary problematics about international law and comparative law.
Professeurs
Jean-Louis Halpérin, Florian Couveinhes-Matsumoto

Introduction to Galois Theory

This course is an introduction to the Galois theory of polynomial equations and to arithmetical methods of computing the associated groups.
Professors
Olivier Debarre, Yves Laszlo

Politics and Metaphysical Problems, 1943-1969

This course examines the relationship between the political positioning and theories of twentieth-century French philosophers and their metaphysical philosophical orientations.
Professors
Marc Crépon, Frédéric Worms

Statistical Mechanics: Algorithms and Computations

This MOOC discusses the computational approach in modern physics (classical and quantum) in a clear yet accessible way.
Professor
Werner Krauth

 

 

 

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