Machine 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. ...
Ce cours présente des clés d'analyse des sciences humaines pour réfléchir aux infrastructures, de leur planification à leur gouvernance. Il abordera les enjeux d'écologie, d'accessibilité, de contestation, des risques, ou encore de citoyenneté à partir de ...
This course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, population growth. Although grounded in economics, it takes up elements from many other disciplines. ...
"To be useful, helpful, of assistance to someone:" The "In Service of: Berre" studio
reflects on the architectural and territorial project as a form of public service. It explores how architecture and design tools can engage in spatial struggles in the con ...
Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both ways) in a multi-disciplinary environment, coordination ...
Vivons-nous dans une "société du risque" ?
Nous reviendrons sur les différents processus sociaux (de l'essor de la quantification au secteur de l'assurance, des politiques de sécurisation aux mobilisations de victimes) qui participent de l'émergence et de ...
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 implement methods to analyze diverse data types, such as imag ...