2022 Spring School on Data-driven Model Learning for Dynamic Systems
Virtual Edition, 4-8 April 2022
Due to the coronavirus pandemic, the fifth edition of the doctoral school in data-based modeling (system identification) will be organized in a fully virtual fashion. This school consists of a series of lectures and of exercise sessions aiming at covering the fundamentals of data-driven modeling approaches as well as more advanced topics. The course is eligible for scientific doctoral modules. The school is thus mainly aimed at an audience of PhD students, but is also open to any other persons interested in the topic of data-based modeling.
The 2022-edition will have the honour to welcome Professor Hjalmarsson (KTH Stockholm) that will present a course entitled:
Dynamic Model Learning
More information on this doctoral school (registration fees, …) can be found at the following link:
https://spring-id-2022.sciencesconf.org/
The deadline for registration is 31 January 2022.
