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The "Data Science & Industrial Processes" Chair renewed

During its first period of activity, the "Data Science & Industrial Processes" Chair notably allowed for the creation of a training course in data science for students at EMINES, Morocco. The positive outcome led to its renewal for five years in the summer of 2022.
The "Data Science & Industrial Processes" Chair renewed 3D concept of an automated production line. (iStock / Getty Images Plus - Gorodenkoff)
01 Sep. 2022
International, Chairs, Education, Research, Mathématiques Appliquées, IA et Science des données, CMAP

The "Data Science & Industrial Processes" Chair was launched in 2018 in partnership with Mohammed VI Polytechnic University (UM6P) and the École Polytechnique Foundation, supported by the OCP industrial group. During its first period of activity, the Chair held by Eric Moulines, researcher at the Center for Applied Mathematics (CMAP*), has enabled the implementation of a Data Science training course for students of UM6P School of Industrial Management (EMINES), based in Ben Guerir, Morocco.

Sixty-two students have benefited from this eight-week training course, given annually, during the first four years of the programme. An unusual course, both by its intensive format over a few weeks and by its focus on industrial processes with real-life applications. The programme also includes a training component for UM6P teaching faculty, in order to perpetuate the transmission of this knowledge.

On the strength of this success, the Chair has been renewed this summer for a period of five years. In addition to the teaching project, which is continuing and may be extended to include continuing education, the programme now includes a research component in "Data-centric Engineering and Smart Industry", featuring the co-supervision of four doctoral theses.

Data-centric engineering (DCE) is a discipline that combines mathematical models and machine learning approaches. The latter allows to enrich the models and help overcome their limitations, for instance in applications that require real-time decision-making. 'Smart industry' consists of designing future 'intelligent' industrial systems. Equipped with sensors and actuators connected in networks, they will be able to operate and make decisions autonomously thanks to the integration of statistical learning models.

To learn more about data science and artificial intelligence Chairs at École Polytechnique, click here

*CMAP: a joint research unit CNRS, Inria, École Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France