Teaching activities

I teach mostly programming, optimisation and machine learning technique.
I regularly visit ISAE SUPAERO (Toulouse campus) and ENSTA Paris (Palaiseau campus).

Programming

• Python programming: advanced and idiomatic programming practices.

  • an 10h seminar designed for three sessions, with a fair share of self-training;
  • a 7 full-day course, more oriented on data analysis and Geographical Information Systems.

• Algorithms and programming, with a focus on data structures, algorithms and their implementations using the C language.

Data and decision science

• Optimisation topics:

  I am in charge of two courses:

  • Optimisation for Artificial Intelligence: a 4 full-day illustrated course;
  • Constraint Programming: theory, hands-on session and project on realistic examples;

  I also tutor classes around:

  • Linear and Mixed-Integer Linear Programming;
  • Optimisation in graphs;

• Data Science & Machine Learning: supervised and unsupervised approaches

• Applied study cases focused on transportation and energy.