Teaching

Machine learning tutorial

Undergraduate tutorial (3rd year post-bac), ENAC, 2025

Two 2h tutorials on machine learning with Python for 1st year engineering school student at ENAC. This two 2h tutorials introduce neural network for classification and generation using Tensorflow and Keras.

GIT tutorial

Tutorial, ENAC, 2025

A 2h tutorial on git for ISESA student at ENAC introducing all the basics.

Statistics (2024)

Undergraduate course (3rd year post-bac), ENAC, 2024

A 30h course on statistics for 1st year engineering school student at ENAC. This maths course teaches about statistical models, estimation, sufficient statistics, Fisher Information, confidence intervals, test statistics and non-parametric tests. This course includes 6 hours of hands-on Python for statistical studies..

Measure Theory (2023)

Undergraduate course (3rd year post-bac), ENAC, 2023

A 17h introductory course on measure theory for 1st year engineering student at ENAC. This course teaches about measurable spaces, measure functions, measurable functions, Lebesgue integration, multiple variables integration, measure decomposition and \(L^p\) spaces.

Statistics (2023)

Undergraduate course (3rd year post-bac), ENAC, 2023

A 30h course on statistics for 1st year engineering school student at ENAC. This maths course teaches about statistical models, estimation, sufficient statistics, Fisher Information, confidence intervals, test statistics and non-parametric tests. This course includes 6 hours of hands-on Python for statistical studies.

Measure Theory (2022)

Undergraduate course (3rd year post-bac), ENAC, 2022

A 17h introductory course on measure theory for 1st year engineering student at ENAC. This course teaches about measurable spaces, measure functions, measurable functions, Lebesgue integration, multiple variables integration, measure decomposition and \(L^p\) spaces.

Measure Theory (2021)

Undergraduate course (3rd year post-bac), ENAC, 2021

A 17h introductory course on measure theory for 1st year engineering student at ENAC. This course teaches about measurable spaces, measure functions, measurable functions, Lebesgue integration, multiple variables integration, measure decomposition and \(L^p\) spaces.