Goals and Audience

The goal of the IDEA league doctoral school on Engineering Complex Systems with Big data and information Technology (ECS-BIT’18) is to survey fundamental and applied aspects of engineering complex system using big data and information technology (IT), as well as to identify novel opportunities and research directions with a multidisciplinary perspective through a series of lectures by international experts. The school will provide attendees with a great opportunity to meet distinguished scholars and to establish contacts that may lead to research collaborations in the future, offering the opportunity of meeting researchers in four universities during the doctoral school. Participants will be given the opportunity of exploring multidisciplinarity dimensions through group work. The intended audience are postgraduate students, PhD students, and young researchers from universities and industrial labs around the world.

Ph.D. students with a strong interest in complex data management issues are welcome from different disciplines. However, students attending the course are expected to have a basic academic knowledge background in computer science, data science, or closely related subjects



  • 3 credits for participation in the school
  • 5 credits for participation and group work final report delivery, with final evaluation (pass/fail)

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