Academic Teaching

Université de Montpellier

Master 2 Statistique et Science des Données: Lecture

I did a small (Oct. 2024) to introduce Recurrent Neural Network in Deep Learning. Here is the application notebook on Natural Language Processing with a Julia version of the min-char-rnn code with "À la recherche du temps perdu" (Marcel Proust) and all of Shakespeare.

Master 1 Statistique et Science des Données: Projects

Since 2023, I propose and supervised some small projects for the M1 SSD HAX817X. Previous projects were

• Compare statistics of observed weather time series and the one obtained by climate models on historical period. (twice)

• Weather extreme statistics close to nuclear power plants.

• Median of Mean estimator: Theoretical and Empirical properties.

Polytechnique

École Polytechnique – 2020-2022 – 63h total TD equivalent

• In charge of "Small Class" tutorials on the subject MAP530 : Probability Refresher intended for Engineer 3A and Master 1 students of the Master X / HEC Data Science for Business. There were 4 sessions of 3 hours both face-to-face and in distance for groups of around 20 students.

• Responsible for the MAA204 course: Introduction to Statistics intended for students of the second-year Bachelor cycle. I gave the 2-hour lectures to the 62 students and provided one of the three tutorials of 2 hours. Here are some notebooks using Julia that I used to illustrate my lectures. I was inspired by the great book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence.

  • Lecture_1.ipynb

  • Lecture_2.ipynb

  • Lecture_3.ipynb

  • Lecture_4.ipynb

  • Lecture_5.ipynb

  • Lecture_6.ipynb

  • Lecture_7.ipynb

• Tutorial for the subject MAP361 : Aléatoire (Random) intended for first-year engineering students. Here is a notebook for the students to illustrate the PC3 concepts.

  • PC3.ipynb

Polytech'Nice

Polytech'Nice in Sophia-Antipolis – 2014-2017 – 63h each year

As a Doctorant Contractuels Chargés d'Enseignement, I taught the practical work of student physics of integrated preparation from engineering school.

I supervised a dozen students for 3 hours on different physics labs: Stirling engine, diffraction, interference, capacitor charge discharge, optics, statistical physics.

Others

Lecturer at Spectral Methods for Complex Systems winter school

I participated as a lecturer to the online Winter School "Spectral Methods for Complex Systems" (January 2019) where I give an interlocutory talk (videos and slides are available) about spectral analysis in finite and infinite dimensional dynamical systems.