Objectives of Programme's Learning Outcomes

• 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.
• Master technical English in the field of electrical engineering.
• Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as an essential measurement and control vector in modern society by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
• Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
• Implement a chosen system/solution in the form of a schema, a flowchart, an algorithm, a prototype, software and/or digital model.
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on signals and systems, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, hardware and software instrumentation, mathematical modelling and analysis of dynamic systems, control methods, more specific applications related to signal processing, and control of biomedical and biological systems.
• Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
• Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
• 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.
• Master technical English in the field of electrical engineering.

Learning Outcomes of UE

discover nonlinear dynamic models in ecology and biotechnology;
implement numerical simulators of dynamic systems;
review system modeling and parameter identification techniques, with the concern of taking several sources of uncertainties into account;
use neural networks to build black-box and hybrid models of biological systems;
learn how to use asymptotic observers;
discover nonlinear feedback control techniques, either based on a dynamic model, or on the contrary model free.

Content of UE

introduction to population models; macroscopic models of bioprocesses; numerical simulation of dynamic systems; parameter identification (linear and nonlinear problems, least squares and maximum likelihood); introduction to neural networks for modeling and monitoring; state estimation by asymptotic observers; introduction to control of bioreactors (linearizing feedback control, extremum seeking); exercises.

Prior Experience

state space equations, observers

Type of Assessment for UE in Q1

• Oral examination

Q1 UE Assessment Comments

oral exam

Type of Assessment for UE in Q3

• Oral examination

Q3 UE Assessment Comments

oral exam

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable