In 2025 - 2026 :

• ▹ Teaching assistant of Pierre-Loïc Méliot's course: Markov Chains.
  The aim of this course is to define Markov Chains, to study their basic properties and to give first results on ergodic theorems.


• ▹ Course on Electricity Markets :
  Lecture on the structure of electricity markets in Europe. We explain the different markets where electricity is traded and give examples of price modelling and asset management in front of a market.


• ▹ Course on Monte-Carlo methods in Finance :
  Monte Carlo methods are widely used in finance, this course gives examples of Monte Carlo estimations for the financial industry. This course focuses on practical implementation of those methods, Ahmed Kebaier gives the theoretical foundations.

• ▹ (2020 - 2022) Teaching assistant of Laurent Decreusefond's course: Introduction to probability.
  The aim of this course is to introduce modern probability theory: continous random variable, probability density function, independance, gaussian vectors, different notions of convergence, limit theorems.


• ▹ (2020 - 2022) Teaching assistant of Maxime Ossonce's course: Introduction to statistics.
  This introductory course of statistics gives classical properties of estimators, adresses their construction with the moment and maximum likelihood methods and introduces hypothesis testing.


• ▹ (2020 - 2022) Teaching assistant of Laure Giovangigli's course: Discrete Time Martingales.
  Introduction to martingale processes : definition, properties and convergence theorems.


• ▹ (2021) Teaching assistant of Wim Van Ackooij's course: Quadratic Optimization.
  Optimization of quadratic functions, theoretical results on existence on uniqueness, practical resolution with gradient algorithms.