Objectives of Programme's Learning Outcomes

• Imagine, implement and operate systems/solutions/software to deal with a complex problem in the field of electricity by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
• Identify complex problems to be solved and formulate the specifications by integrating client needs, contexts and issues (technical, economic, societal, ethical and environmental).
• On the basis of modelling and experimentation, design one or more systems / one or more solutions / one or more software and/or hardware implementations responding to the problem posed; evaluate them taking into account the various parameters of the specifications.
• Implement a chosen system/solution/software/circuit in the form of a diagram, flow chart, algorithm, plan, model, prototype, program, software and/or digital model.
• Evaluate the approach and results for their adaptation (tests, measurements, optimisation and quality).
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, using their expertise and adaptability.
• Master and mobilise knowledge, models, methods and techniques relating to the basics of electricity, electronics, automation, signal analysis and processing, telecommunications; modern electrical network engineering (production, transport, distribution); electric vehicles; advanced electronic systems; wired and wireless telecommunications; intelligent sensors; human-machine interfaces; mathematical modelling and analysis of dynamic systems; process control; image processing and processing; and the use of the Internet; advanced electronic systems; wired and wireless telecommunications; intelligent sensors; human-machine interfaces; mathematical modelling and analysis of dynamic systems; process control; image and sound processing and, more s
• Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
• Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
• Respect deadlines and timescales
• Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
• Argue to and persuade collaborators, clients, teachers and boards, both orally and in writing.
• Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
• Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.

Learning Outcomes of UE

This course studies dynamic discrete-event systems and more particularly the modeling and numerical simulation of systems related to the fields of health and life science (operational management of flows in a hospital, study of a packaging line for pharmaceutical products, etc.).
The course is based on the realization of a project using the numerical simulation software ExtendSim as well as the analysis of the system on the basis of Grafcet.
 

UE Content: description and pedagogical relevance

Time-driven vs. event-driven systems, examples of Discrete Event Systems (DES): automated manufacturing, traffic systems, the queueing system model.
Models of DES, Basic concepts in discrete event simulation, Monte-Carlo simulation, Input modeling and output analysis, model construction and applications, study of alternative system configurations.
Basic concepts of Agent-Based Models (ABM).
Grafcet Model and process design.
 

Prior Experience

Not applicable