Teaching
Course pages
Past teaching
2021-2022
- Apprentissage Statistique à grande échelle: 6h lessons, 3rd year students at ENSAI
- Réseaux de neurones (et réseaux avancés): 9h lessons, 3rd year students at ENSAI
- Systèmes de recommandation: 6h lessons, 3rd year students at ENSAI
- INFO2 (programmation orientée objet): 12h lessons & 12h practical session, 2nd year students at ENS Rennes (dep. Mathematics)
- Bandits Theory: 6h, Master Smart Data at ENSAI
- Recommender Systems: 3h, Master Smart Data at ENSAI
- Latex/LibreOffice Calc/Python notebooks: 9h practical session, 1st year students at ENSAI
2020-2021
- Programmation Orientée Objets en Java (en anglais): 6h of lessons, 2nd year students at ENSAI
- Apprentissage Statistique à grande échelle: 6h lessons & 3 x 9h practical session, 3rd year students at ENSAI
- Réseaux de neurones: 6h lessons, 3rd year students at ENSAI
- Systèmes de recommandation: 6h lessons, 3rd year students at ENSAI
- INFO2 (programmation orientée objet): 12h lessons & 12h practical session, 2nd year students at ENS Rennes (dep. Mathematics)
- Bandits Theory: 6h, Master Smart Data at ENSAI
2019-2020
- Réseaux de neurones: 6h lessons, 3rd year students at ENSAI
- Systèmes de recommandation: 6h lessons & 2 x 6h practical session, 3rd year students at ENSAI
- INFO2 (programmation orientée objet): 12h lessons & 12h practical session, 2nd year students at ENS Rennes (dep. Mathematics)
- Bandits Theory: 6h, Master Smart Data at ENSAI
- Projet Informatique 2A (software development): management, 2nd year students at ENSAI
2018-2019
- Panorama du Big Data (Machine Learning part): 9h of lessons, 2nd year students at ENSAI
- +3h of lessons on IT part
- Réseaux de neurones: 6h lessons, 3rd year students at ENSAI
- Réseaux de neurones: 6h lessons, 3rd year students at ENSAI (SV)
- INFO2 (programmation orientée objet): 12h lessons & 12h practical session, 2nd year students at ENS Rennes (dep. Mathematics)
- Optimisation: 2x6h of practical session, 1st year students at ENSAI
- Bandits Theory: 6h, Master Smart Data at ENSAI
- Bandits Theory: 3h, HKU students, at ENSAI
- Neural Networks: 3h, HKU students, at ENSAI
- Projet Informatique 2A (software development): management, 2nd year students at ENSAI
2017-2018
- Panorama du Big Data (Machine Learning part): 9h of lessons, 2nd year students at ENSAI
- Réseaux de neurones: 6h lessons & 2x12h practical session, 3rd year students at ENSAI
- Réseaux de neurones: 6h lessons, 3rd year students at ENSAI
- INFO2 (programmation orientée objet): 12h lessons & 12h practical session, 2nd year students at ENS Rennes (dep. Mathematics)
- Projet Informatique 2A (software development): 1.5h introduction & 6h practical sessions, 2nd year students at ENSAI
- Algorithmique et complexité: 12h of tutorial classes and practical sessions, 1st year students at ENSAI
- Optimisation: 6h of practical session, 1st year students at ENSAI
- Bandits Theory: 6h, Master Smart Data at ENSAI
- Bandits Theory: 3h, HKU students, at ENSAI
- Neural Networks: 3h, HKU students, at ENSAI
2010-2017
2009-2010
2008-2009
2007-2008
- Tutorial class (14h) / practical work (20h) about recursive algorithms and complexity in 2nd year of “École préparatoire”, IFIPS, Orsay
- Tutorial class (33h) about recursive algorithms and complexity in L3, Univ. Paris-Sud, Orsay
- Remedial lessons (10h) about recursive algorithms and complexity in L3, Univ. Paris-Sud, Orsay
2006-2007
- Tutorial class (16h) / practical work (24h) about recursive algorithms and complexity in 2nd year of “École préparatoire”, IFIPS, Orsay
- Remedial lessons (10h) about recursive algorithms and complexity in L3, Univ. Paris-Sud, Orsay