TeachingConvex optimization @Computation and Modelling summer school,WUST 2022
ResourcesMy colleague Pierre Ablin and I have created a repository with some Python advice for our students: https://github.com/pierreablin/python-sessions. Classes taughtSince 2019, I teach the Python for datascience class (42 h per year) in the X/HEC “Datascience for business” Master, using live coding inspired by the Software Carpentry workshops. I designed the course from scratch, collaborating with Joan Massich in 2019, Quentin Bertrand in 2020, and Hicham Janati in 2021. Since 2020 I teach and handle practical sessions and data camps in Ecole Polytechnique's Executive education (70 h). Topics involved dimension reduction, clustering, scaling computations, visualization and datacamp. I designed 2 full python labs with Erwan Le Pennec on these topics. From 2017 to 2019, my main teaching activity was the Optimization for datascience class of the Datascience Master, totalling 2*40 h including 4 h as lecturer. Amongst others, this involved refactoring of the practical sessions, tutoring of students during office hours, and partaking in the design of the final exam. In 2016-2017, I was a TA at Télécom Paris, for
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