Teaching

In the School of Engineering, I am involved in three BsC : Energy & Environment Engineering, Computer science and communication systems and Life Sciences Engineering.

Teaching with small classes enables enhanced interactivity and project-based learning, allowing students to go from theory to practice.

• Energy & Environment Engineering :

  • Traitement et gestion des données BsC1 4ECTS : Basics of manipulations and graphics in Excel and Python, SqL, TimeSerie Database, Raspberry and connected sensors, Grafana

  • Traitement et gestion des données BsC2 2ECTS : Statistical bases, correlation and regression, ANOVA and classification, learning principles and neural networks, well-posed problems and overfitting, time series: analysis and prediction. Python, scikit learn

  • Optimisation des aménagements hydroélectriques BsC3 2ECTS : under development

• Computer Science and communication systems :

  • Algorithmics BsC2 1st part 2ECTS : complexity, dichotomy, sorting algorithms, introduction to profiling (measuring time execution), backtracking, branch & bound

  • Optimization for Machine Learning BsC3 1.2ECTS : learning principles, well-posed problems and overfitting, regularization

• Life Sciences Engineering :

  • Data Sciences BsC2 2ECTS : Statistical bases, correlation and regression, ANOVA and classification, learning principles and neural networks, kNN, well-posed problems and overfitting. Python, scikit learn