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that can renew the analysis and understanding of these situations. The department is interdisciplinary, drawing on and combining knowledge from cognitive sciences, information and communication sciences
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of these courses is to introduce students to the concepts, practices, and methods of analysis that will enable them to understand the crises, risks, and opportunities faced by companies and organizations in a
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management, combined "safety/security" approaches, risk analysis, and the optimization and certification of systems using artificial intelligence. Skills in the laboratory's application domains, particularly
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characterization methods (basic skills) Analysis of biological fluids and culture media (basic skills) Ability to work independently on new topics. Strong analytical and synthesis skills. Ability to write reports
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on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
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intelligence models applied to the analysis of post-genomic, metabolomic, and microbiota data originating from GEC projects and those of the Sorbonne University Alliance, including the Global Health Institute
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load-flow analysis with (multi-)objective optimization algorithms for EV charging and discharging. – Investigate challenges related to optimality, robustness, and reproducibility of the proposed methods