Advanced Simulation

The objective of this course is to provide its participants with a selection of state-of-the-art simulation topics. The course focuses on the theoretical foundation of (potentially large-scale) data-driven simulation and the corresponding methods and techniques. The course provides a set of lectures, in-class discussions in combination with lab exercises and group assignments. The participants must individually prepare the classes with reading assignments according to the announcements on BrightSpace. In parallel, groups of students carry out lab exercises for the topics that have been studied. The lab exercises will be discussed with the teachers and marked. Key topics covered in the course include Data quality, Data-driven modelling and simulation, and Large-scale modelling and simulation.