Teaching
Since September 2024, I have been providing a full teaching service (~200h/year) at
ISTIC, Université de Rennes. You can find below the list of disciplines I'm teaching
Master 2 IA, Université de Rennes, ISTIC, 2026
Artificial Intelligence based Computer Vision A set of lectures and practical work on Artificial Intelligence applied to computer vision :
- computer vision before AI
- Convolutional Neural Networks for computer vision
- Reference networks in computer vision
Master 1 IA, Université de Rennes, ISTIC, 2026
We set-up a collaborative project between the Master 1 “Artificial Intelligence” and a school of design from Rennes (DSAA - Diplôme Supérieur d’Arts Appliqués de Rennes). The students of the 2 schools are thus able to collaborate on projects at the interface between design and artificial intelligence using public data from the Rennes metropolitan area.
Licence 1 ISTN, Université de Rennes, ISTIC, 2025
Unplugged Artificial Intelligence. We collectively set-up this collection of practical work for 1st year student to discover Artificial Intelligence through Unplugged (without computer) activities. I personnaly conceived 2 modules with my colleague Myriam Bontonou :
- Planning & graphs paths
- Markov Fields
Licence 2 ISTN, Université de Rennes, ISTIC, 2025
Probabilities and Statistics for undergraduate students :
- Probabilities :
- random variables
- mean and variance
- discrete and continuous probability laws
- law of large numbers and central limit theorem
- Statistics :
- sampling
- estimation and confidence intervals
- hypothesis tests
Licence 1 ISTN, Université de Rennes, ISTIC, 2025
Information Theory for undergraduate students :
- number representation
- numbering system
- coding, compression (Shannon-Fano, Huffman)
- error correcting codes
School of of Transmissions, Digital and Cyber, Université de Rennes, ISTIC, 2025
Basic Python programming courses for military personnel undergoing retraining to become cybersecurity technicians. They are part of the School of of Transmissions, Digital and Cyber.
Licence 2 ISTN, Université de Rennes, ISTIC, 2025
Data Science for undergraduate students :
- Probabilities :
- random variables
- mean and variance
- discrete and continuous probability laws
- law of large numbers and central limit theorem
- Statistics :
- sampling
- estimation and confidence intervals
- hypothesis tests