Teaching

Science des données 3 (2024-2025)

Licence 3, Département MIAp - Mathématiques et informatique appliquées, 2024

The goal of this course was to train data analysts capable of interpreting large volumes of data, with a particular focus on climate change. The students got familiar with some of the most important Python libraries to model and process problems linked to mathematics and IT (i.e., NumPy, Matplotlib, Pandas, seaborn, and GeoPandas). At the end of the course, they acquired:

• a solid general scientific culture
• the mastery of processing, modeling, and interpreting tools
• analytical thinking, initiative, and teamwork skills

Science des données 3 (2023-2024)

Licence 3, Département MIAp - Mathématiques et informatique appliquées, 2023

The goal of this course was to train data analysts capable of interpreting large volumes of data, with a particular focus on climate change. The students got familiar with some of the most important Python libraries to model and process problems linked to mathematics and IT (i.e., NumPy, Matplotlib, Pandas, seaborn, and GeoPandas). At the end of the course, they acquired:

• a solid general scientific culture
• the mastery of processing, modeling, and interpreting tools
• analytical thinking, initiative, and teamwork skills

Other teachings

In addition to the main teachings, I also had the opportunity to teach a lot of students with different backgrounds.
Here is a list of some of my experiences:

• intensive preparatory courses to train students for enrolment in one of the grandes écoles (e.g., École Polytechnique and École Normale Supérieure)
• accompanying students with difficult backgrounds and/or disabilities and preventing them from dropping out of the educational system (volunteer work)
• helping collège and lycée students with homeworks and revisions so they keep up with their classes and obtain their diplomas (i.e., brevet and baccalauréat)
• replacing my colleagues and/or supervisors when they are not available to teach their own university classes (e.g., Object-oriented programming)
• participating in an association at my graduate school of engineering to help students struggling with certain courses (in particular in mathematics and physics)