Applied Mathematics on Uncertainty Quantification

The school will focus on modern applications of mathematics in industry and society with emphasis on problems involving partial differential equations, probabilistic modelling, and stochastic processes. Topics include advanced methods in applied mathematics, fast algorithms for optimization and control, and applications of Stochastic Processes. These lectures aim to bring junior scientists and graduate students up to current development in the field.