The course called Cyber-Physical Social System (CPS2) should belong to the IT Master’s of the University of Lyon.
The objective of CPS2 is to train high level computer scientists who will be able to understand the behavior of systems resulting from the combination of the physical, social and digital dimensions of our environments. Industry 4.0, smart cities or intelligent transport systems are instances of Cyber-Physical Social Systems which are rapidly evolving in our modern societies. Throughout their careers, these specialists will be able to master issues related to each one of these dimensions as well as the interaction between them. They will be qualified to propose and to apply suitable, innovative solutions.
In this context, the CPS2 course aims to train people in charge of IT domains, architects for cyber-physical systems, engineers for the development of cyber-physical systems, experts in socio-technical systems, functional consultants, project managers for transport, energy, health applications, etc.
Our courses aim to train high level professionals who get a triple expertise:
- Technological: expertise related to the design and implementation of digital applications involving physical features (communication, perception, action, etc.) and social features (privacy, trust, community, etc.).
- Functional: expertise related to problems and issues linked to digital applications located at the joining of the dimensions of these new complex environments.
- Scientific: The expertise about the models which are needed to take into account all the interaction between the dimensions of the Cyber-Physical Social Systems.
The curriculum comprises courses ensuring:
- A theoretical background: artificial intelligence, multi-agent systems, operational research and graph theory, Complexity and calculability, semantic web.
- A technical background: network, middleware, integrated project, trust and privacy, security.
- A functional coloration: ambient intelligence, smart cities (smart grid, intelligent transportation system), industry 4.0
This general description of the course will be completed with optional courses ensuring a different aspects of the curriculum:
- Social aspect: Knowledge representation and reasoning, human-computer interaction, Machine learning, Intelligent data analysis and data mining are courses which could complete the initial course. (http://www.fib.upc.edu/en/masters/mai.html, http://www.fib.upc.edu/en/masters/mai/syllabus.html).
- Technical aspect: Wireless Computer Networks, Distributed Systems and Computing, are courses which could complete the initial formation (https://www.fit.cvut.cz/en/prospective-students/master).