Cycle Ingénieur Civil (Mines Paris – PSL)

 

The CMA is involved in the Cycle Ingénieur Civil de Mines Paris – PSL and is responsible for the following courses:

  • ES Modélisation prospective : Principes et usages des modèles mathématiques pour l’évaluation des politiques de lutte contre le changement climatique
  • ES Optimisation mathématique pour la transition
  • UE 12 Informatique
  • MIG « Prospectus  »
  • Trimestre recherche « SOPH. IA DATA » (jointy responsible)
  • Optimisation stochastique (PSL Week)
  • Les modèles du Futur : approche prospective des enjeux climatiques (PSL Week)
  • Data, Optimisation & IA Générative (PSL Week)

Mastère Spécialisé© OSE (Mines Paris – PSL)

The Mastère Spécialisé© OSE (Advanced Master Degree in Energy System Optimization) is a course organised by the CMA Mines Paris – PSL in partnership with CREDEN of the Faculty of Economic Sciences of Montpellier I and EDHEC Business School which is run in close collaboration with industry. The CMA’s teacher-researchers and their doctoral students play a full part in the teaching provided in this course and also help to supervise the students on the course. Among the courses taught:

  • Political and environmental aspects of energy
  • Prospective modelling
  • Mathematical programming (linear programming, non-linear programming, integer programming, complexity)
  • Programmation dynamique et stochastique
  • Machine Learning, Heuristiques et Méta Heuristiques

MSc in Climate Change & Sustainable Finance (Mines Paris – PSL / EDHEC)

Le Master of Science in Climate Change & Sustainable Finance is a double-degree programme run by EDHEC Business School and Mines Paris – PSL via the CMA. The CMA’s teacher-researchers and their doctoral students play a full part in the teaching provided in this course and also help to supervise the students on the course. Among the courses taught:

  • Designing feasible low carbon transitions
  • The keys to understanding the energy transition
  • Energy chain & climate change
  • Prospective modelling principles & in practice
  • Externalities and life cycle thinking
  • Clean technologies and innovations

Courses taught by CMA teacher-researchers in other institutions

Prospective modelling

  • Prospective modelling course at the École des Mines de Nancy
  • Prospective modelling course at the Master EEET of Université Paris-Saclay
  • “Industry and energy transition” course as part of the Master 1 in Industrial Development organised by the Université Côte d’Azur (UniCA)
  • “Prospective prospective” as part of theMaster 2 Développement industriel organized byUniversité Côte d’Azur (UniCA)
  • “Modélisation pour la transition écologique” course as part of the “Mathématiques appliquées et modélisation” engineering degree organized byPolytech Sophia (UniCA)

Mathematical optimization

  • “Optimisation de la transition” course as part of the “Mathématiques appliquées et modélisation” engineering degree organized byPolytech Sophia (UniCA)
  • “Optimisation et apprentissage pour l’aide à la décision sur l’eau” course as part of the Hydroprotech Master degree (Management of hydrotechnological and environmental projects) organized byUniCA

Data and machine learning

  • “Introduction to Machine Learning” course as part of the Hydroprotech Master degree (Management of hydrotechnological and environmental projects) organized byUniCA