I mainly give courses on Algorithms, Machine learning and Information retrieval. My current teaching activities comprise (teaching material available on moodle and caseine):

• Foundations of Data Science (Master 1 MOSIG)
• Introduction à l'IA et la science des données (Master 1 informatique)
• TP : Introduction à python
• TP : Introduction à SkLearn
• TP : Réseaux neuronaux
• Cours : Introduction à l'IA
• Cours : k-PlusProchesVoisins
• Advanced machine learning: applications to vision, audio and text (Master 2 MOSIG)
• Similarities and retrieval in large scale text collections (slides of the course)
• Fundamental concepts of supervised machine learning (slides of the course)
• PageRank: importance of a node in a graph, random walks and Markov chains (slides of the course)
• Course on Transformers
• Learning, Probabilities and Causality (Master 2 MSIAM)
• Causal representation learning
• Lab: Simpson paradox

I also supervise pratical courses on Calculabilité et Complexité (Master 1 informatique).

The book Recherche d'information: applications, modèles et algorithmes, co-written with M.-R. Amini, contains some material (course and exercices) I use for my courses on information access and retreival.

In the past, I gave courses on:

• C programming (L1), Ada programming (L2), Java programming (L3)
• Data mining (M1 MIAGE), Information retrieval and machine learning (2Y and 3Y, Polytech Grenoble), Information access and retrieval (Master 2), Information access: from the web of data to the semantic web (Mastere Big Data)

Lastly, I have had the following teaching responsibilites:

• Co-responsible of the option AIW (Artificial Intelligence and the Web) in MOSIG (2011-2015)
• Co-responsible of the Mathematics and Computer Science Master of Univ. J. Fourier (2008-2011)
• Responsible of the Computer Science Magistère of Univ. J. Fourier (2006-2008)

asilay