Pratical works : 

• Structure de données (Data structure) [Engineering school]

Learn to manage data in lists, stacks, queues... in C with pointers.

• Numerical method application [Bachelor University]

Apply basic numerical method : solve a linear system, inverse a matrix, polynomial interpretation, linear regression.

• Probabilties and Statistics [Bachelor University]

Studies of the principal laws of probabilities, continuous and discrete. Application of linear regression methods.

Lesson :

• Calcul différentiel (Differential Calculus) [Engineering school]

Integration on curves and surfaces & Polynomial interpolation, numerical integration, numerical solution of differential equations.

End-of-study internship (master 2) : 

• A new performance Measure for Clustering with Mahalanobis distance

Development of a new measure to evaluate the quality of a score taking into account the Mahalanobis distance. 

Engineering school project (licence 3) :

• Démonstration d’active learning sur une variante de k-means

To improve the performance of a variant of k-means (CECM), we used constraint pairs allowing semi-supervised learning. The added constraints specify the area of uncertainty that has been previously delimited.

Handitutorat 

Sopra Steria's project to help young people with disabilities obtain their baccalaureate by support from engineering school students. I had the chance to be accompanied in high school and then I had the opportunity in engineering school to participate in my turn.