This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details o ...
Ce cours est une introduction au droit. Il a pour but de sensibiliser les étudiant-es des trois sections ENAC à
l'importance de cette discipline pour la pratique de leur métier respectif et, donc, pour la mise en commun de leurs savoirs afin de "projeter e ...
In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation.This course advances the students knowledge of computational complexity, and develop an understa ...
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. They analyze the implications of their models on resour ...
This course provides in-depth understanding of the most fundamental algorithms in statistical pattern recognition or machine learning (including Deep Learning) as well as concrete tools (as Python source code) to PhD students for their work. ...
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. ...
This course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems. ...
The objective of this course is to introduce a three-step methodology to support the iterative and incremental definition, exploration, and evaluation of alternative Business Models and System Archite