Didier Auroux is full professor in applied mathematics at Université Côte d’Azur. Former deputy director of the mathematics lab (Laboratoire J.A. Dieudonné) and former director of Applied Mathematics and Modeling department at Polytech, he is now director of the Master of Science in applied mathematics and computer science for financial analysis.
His research interests are in computational methods and their applications to data assimilation, geophysics, image processing, and more generally optimal control, scientific computing, and inverse problems. In the field of image processing, he studied and developed several fast algorithms based on the topological asymptotic analysis. In the field of data assimilation, for instance for weather forecast, he developed smart and efficient algorithms based on observers, filtering and control theories that are now well known and used in the international community but also in several start-ups.
Applied Mathematics for Data Science
What will students take away from your course?
Basic concepts and tools for simple calculations and properties of functions and datasets.
Why do you believe it is important to include this course in the programme?
The aim of this course is to provide basic knowledge of applied mathematics and necessary mathematical background for further study at DSTI. Half of data science foundations (with statistics on the other half)!