Frédéric Kletz is a teacher-researcher at Mines Paris - PSL (Center for Scientific Management). Trained as an engineer, he has spent his entire career at the École des Mines de Paris, where he is responsible for several courses in management sciences (general accounting, analytical accounting, etc.). His research areas, which follow an intervention-research approach, cover a broad spectrum, ranging from public action in the cultural sector to the role of management tools in organizations, as well as research on hospital financing, change management and managerial innovations in hospitals, and occupational health.Frédéric Kletz is a teacher-researcher at Mines Paris - PSL (CeThe aim of the course is to enable students to learn how to interact effectively with accountants and financiers with whom they will sooner or later have to deal with, thanks to the transmission of a first introduction to the accounting and financial languages and expertise that are widely used, both within companies and in their relations with their environment (public administration, banks, financial analysts and shareholders, customers and suppliers, etc.). The aim is to understand the growing influence of this language, and the fact that the same management problem is likely to be formulated in different ways depending on the interlocutors involved, and that these formulations refer to very different models of the company.nter for Scientific Management). Trained as an engineer, he has spent his entire career at the École des Mines de Paris, where he is responsible for several courses in management sciences (general accounting, analytical accounting, etc.). His research areas, which follow an intervention-research approach, cover a broad spectrum, ranging from public action in the cultural sector to the role of management tools in organizations, as well as research on hospital financing, change management and managerial innovations in hospitals, and occupational health.

The aim of the course is to enable students to learn how to interact effectively with accountants and financiers with whom they will sooner or later have to deal with, thanks to the transmission of a first introduction to the accounting and financial languages and expertise that are widely used, both within companies and in their relations with their environment (public administration, banks, financial analysts and shareholders, customers and suppliers, etc.). The aim is to understand the growing influence of this language, and the fact that the same management problem is likely to be formulated in different ways depending on the interlocutors involved, and that these formulations refer to very different models of the company.

Eric Godelier is a university professor and holds an agrégation in management sciences. From 2004 to 2017, he served as the head of the Humanities and Social Sciences Department at École Polytechnique, where he was responsible for developing and coordinating courses on business and management. A graduate of the École Normale Supérieure de Cachan, he also holds a PhD in history from EHESS.He is the national delegate for the Conference of Grandes Écoles (CGE) for the humanities and social sciences (HSS) and a member of the Alliance Athéna national network, chaired by A. Petit, CEO of CNRS. Since 2016, he has been president of the French Association for Business History. Additionally, at the Business History Conference (BHC—the world's largest business history association, based in the U.S.), he served on the board from 2020 to 2023. Since 2021, he has been director of the BHC’s doctoral school. In 2024, he was elected to the board of the European Business History Association (EBHA).Furthermore, he has been a member of the Academic Council Bureau of the Institut Polytechnique de Paris since 2019.

While they are educated with the same scientific and technical disciplines, while they have to deal with the same kind of problems, do French and Chinese engineers think in the same way? How production patterns, innovation and Human management-models or tools are travelling between countries? This course provides an introduction to the understanding of issues of Human Resource Management as part of multicultural relations in the management of global firms. The purpose of this module is to make students aware of relativity and variability of knowledge and tools, be they managerial knowledge and tools or science and technology knowledge. Using case studies and texts, this course will use a very proven method to raise awareness of these issues： the study of socio-technical controversies. For engineering students, this perspective is especially important to make them able to act in a global world. If this is true for the technical matter, it is even more true for the management techniques. By mobilizing their knowledge of theories, research methods and concepts they have to bring French and foreign students to become aware of the "cultural" nature of objects apparently most objective and universal. This course will be based on a set of case studies. It was designed to educate students about the importance of multidisciplinary approaches and the combination of technical and managerial dimensions in multicultural relationship. 

Laurent Decreusefond, an alumnus of ENS Paris-Saclay, earned his agrégation in mathematics in 1989, followed by a PhD in 1994 and his habilitation in 2001. He currently serves as a mathematics professor at Télécom Paris in France, where he leads a research team within the computer sciences department. Additionally, he holds an associate professorship at University Mohamed VI Polytechnic in Morocco. His research focuses on probability theory and its applications, particularly in the area of stochastic calculus of variations in infinite dimensions. Notably, he is a trailblazer in the study of fractional Brownian motion. Additionally, part of his work involves applying these theoretical insights to enhance the performance analysis of mobile networks.

This course explores the probabilistic foundations of modern ML—Markov chains, Gaussian processes, and determinantal point processes—through their transformative applications (recommendation systems, optimization, diverse sampling). You’ll derive, implement, and adapt these tools for real problems, balancing mathematical rigor with hands-on projects in Python. Ideal for students who want to truly understand ML algorithms and push their boundaries.

Alain Chillès served as Professeur de Chaire Supérieure at Lycée du Parc, Lyon. From 2012 to 2023, he was the Coordinator of the Mathematics Group at SJTU Paris Elite Institute of Technology and has since been rehired as a visiting professor.With over 40 years of teaching experience in France’s elite classes préparatoires, he played a pivotal role as a founding member of the Sino-French Institute in 2012. His exceptional contributions to shaping the institute’s mathematics curriculum earned him the Shanghai Jiao Tong University Teaching Excellence Award in 2017. 

This course is dedicated to modelization and simulation of Stochastic models. The theoretical part contains some usual aspects like random walks, Brownian motion, stochastic integrals and stochastic differential equations. But, the principal goal is to apply these models to Physic, Chemistry, Finance, Networks, etc. And to learn how to get informations using these kind of models.

Enzo Tartaglione is a Full Professor at Télécom Paris, where he leads the Multimedia group. He is a member of the ELLIS society, a Senior Member of IEEE, and serves as Associate Editor for several journals, including IEEE Transactions on Neural Networks and Learning Systems. He holds three Master's degrees earned in 2015—two from Italian institutions (Politecnico di Torino and Politecnico di Milano) and one from the University of Illinois at Chicago—all awarded with top honors. He received his PhD in Physics from Politecnico di Torino in 2019, with a thesis on statistical physics and algorithms in deep neural systems. An Area Chair at top AI conferences and a three-time nominee for outstanding reviewer, he is also a keynote speaker at PCS 2025 and a finalist for the 2025 Multimedia Rising Star Award. His research focuses on deep learning, including compression, sparsification, pruning, computer vision, debiasing, and regularization.

In this course the students will recap and deepen the knowledge of Deep Learning spanning between basic concepts like activation functions, optimizers, loss functions and initialization methods. Afterwards, a study on more recent architectures like Transformers and on learning methods like contrastive learning will be presented, completed by advanced methods including Diffusion Models, Multimodal Large Language Models (MLLMs), Neural Radiance Fields and Gaussian Splatting. 

François Cauneau is currently professor at Franco-Chinese Institute SPEIT in Shanghai JiaoTong Technological University, and at École des Mines de Paris – Université de Paris-Sciences et Lettres. Actually retired from his main position, he was before the Deputy Director of Mines Paris Sophia Antipolis, the largest Resarch site of Ecole des Mines de Paris with 400 personals, 5 Research Centers and 5 International Master formations. He teaches in fluid dynamics, wind turbines aerodynamics and engines technology at Mines Paris and SPEIT-SJTU. Retired, he is still as Professor Emeritus in the Center for Energy and Process in Mines-Paris, he has developed since 1992 several advanced methods in the domain of radar remote sensing for Geophysical flows studies in Meteorology and Oceanography. He is specialised in visualisation techniques and modelling of geophysical and industrial flows, with a special emphasis on decision support systems regarding risk and environmental problems, and has published more than 40 papers in scientific journals and conferences, last publication in 2024 being in Nature. He has leaded task forces in several international projects for UNEP, IMO and EU, and has participated to the design of the first Numerical Information Systems integrating spatial oceanographic observations for environmental plans. He is working today on adapting the numerical modelling tools of Fluid Mechanics for project management integrating Renewable Energies.

Curriculum positioning: This course proposes an introduction to energies without fossil fuels to students of EPE Y4 or Y5, before students will have technical details mainly in the future semesters。

Teaching objective: Enable students to master the basic knowledge of new energy and have a preliminary understanding of energy issues.

Main teaching content: The course will teach their production as well as their storage

(1). Introduction the students of theory of nuclear energy, includes the fission physics, reactors and fuel cycle. Together with problem in the generation of nuclear power - waste Issues, nuclear safety and security; The future of nuclear energy will also be discussed on the class.

(2). The general context of solar energy will be presented, including economical and regional policy issues and ground-based and satellite measurement of the solar irradiance will be used to quantify the solar energy potential of a local or regional area.

(3). This course aims at providing the main aspects of biomass production and energetic conversion. We will focus all the aspects of the biomass field, just above described.

(4). The goal of this course is to provide students with a global understanding of hydro and wind energy resource, conversion and use. The general context of these energies will be presented, including economic, environmental and regional policy issues (in particular in China and Europe).

Antoine Sellier is a Professor of Fluid Mechanics at École Polytechnique, where he teaches compressible flows in the third-year Engineering program and fundamental fluid mechanics concepts in the first-year Master's program. His research, conducted at the LadHyX laboratory, focuses on small-scale flows in Microhydrodynamics. His work includes asymptotic analysis, boundary integral equation methods, and Stokes flows applied to suspensions—such as sedimentation and effective viscosity in Poiseuille or Couette flows. He also investigates magnetohydrodynamics (e.g., impurity removal in suspension flows), creeping free surface flows and bubbles, as well as boundary conditions for complex surfaces, including the Navier slip and Beaver–Joseph conditions.

Combustion represents today 90% of energy production in the world (electricity, thrust, power, heat). Fossil fuels (gasoline, diesel, jet fuels) and fossil combustibles (natural gas, coal) are preeminent today. International Energy Agency (IEA) predicts that this situation will hold at last the next 15 years and perhaps more.  This course aims at providing the main fundamental aspects of Combustion. We will focus all the aspects of this field.