Systems of interacting entities, modeled as graphs, are pervasive in biology and medicine. The class will cover advanced topics in signal processing and machine learning on graphs and networks, and will showcase applications of the tools in biomedicine. ...
Ce cours est une introduction pratique aux techniques de mesure classiques d'un laboratoire de physique ayant pour but de familiariser les étudiants avec l'acquisition de données, les capteurs, l'analyse des signaux, le vide et la cryogénie. ...
This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data. It covers ...
In an ever more complex world, adoption is a critical factor for innovation. Using creativity and a transdisciplinary approach, this course brings together user-centred design and a deep understanding of value to develop sustainable innovations that benefi ...
Internet analytics is the collection, modeling, and analysis of user data in large-scale online services, such as social networking, e-commerce, search, and advertisement. This class explores a number of the key functions of such online services that have ...
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. ...
This course introduces statistical field theory, and uses concepts related to phase transitions to discuss a variety of complex systems (random walks and polymers, disordered systems, combinatorial optimisation, information theory and error correcting cod ...