Course List
Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.
Doctoral program in computer and communication sciences
Teachers: Frossard Pascal, Cevher Volkan, Faltings Boi, Bosselut Antoine, West Robert, Flammarion Nicolas Henri Bernard
Language: english
Academic term: 2024-2025
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.
Doctoral Program in Electrical Engineering
Teachers: Thanou Ntorina
Language: english
Academic term: 2024-2025
Fundamentals, methods, algorithms and applications of network machine learning and graph neural networks
Doctoral Program in Computational and Quantitative Biology
Teachers: Frossard Pascal, Thanou Ntorina
Language: english
Academic term: 2024-2025
In this course, we introduce the main methods in signal processing.
Section of Electrical and Electronical Engineering
Teachers: Frossard Pascal, Thiran Jean-Philippe
Language: french
Academic term: 2024-2025
Student Project Proposals
- List of student project proposals, in the area of signal processing and multimedia communications (feel free to contact group members if your dream project is not in that list)