Contributed by: Guillaume Mercère, guillaume.mercere@univ-poitiers.fr
2021 Spring School on Data-driven Model Learning for Dynamic Systems
Virtual Edition, 6-9 April 2021
Due to the coronavirus pandemic, the fourth edition of the doctoral school in data-based modeling (system identification) will be organized in a fully virtual fashion. This school (sponsored by the GDR MACS) 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 2021-edition will have the honour to welcome Professor Van den Hof (TU Eindhoven, Pays-Bas) that will present a one-day course entitled: Dynamic Network Identification.
More information on this doctoral school (registration fees, . . . ) can be found at the following link: https://spring-id-2021.sciencesconf.org/
The deadline for registration is 31 January 2021.
