Teaching 💼

Archive of the classes I was involved in as as teaching assistant. I completed 392 hours of teaching in Université Paris-Saclay, and I co-designed and taught three courses from the interdisciplinary teaching project on AI in Culture and Arts, between Hochschule München University of Applied Sciences and the Hochschule für Musik und Theater München.

Master

Interactive Machine Learning

Overview of IML and related fields, project-based learning and introduction to the Marcelle library

Years taught: 2021
Course Webpage

Interdisciplinary

Lecture series on AI in culture and arts

Series of recorded lectures and talks from different experts about AI in culture and arts.

Years taught: 2024
Course Webpage

Project workshop AI in culture and arts

Interdisciplinary and project-based course on AI in culture and arts.

Years taught: 2023, 2024
Course Webpage

Tech crash course on AI in culture and arts

Technical course on AI in culture and arts, designed for students in music, theater, cultural management, design, and computer science.

Years taught: 2024
Course Webpage

Summer school on sustainability and AI

A two weeks summer school on the links between sustainability and AI, designed for students from any discipline.

Years taught: 2024
Course Webpage

Bachelor

Introduction to data bases

Theory and applications of data base concepts, data bases models, relational algebra, normal forms and SQL.

Years taught: 2022

Introduction to computer science

Basics of programming in python, shell, networks and web development

Years taught: 2020, 2021
Course Webpage

Introduction to statistical learning

Theoretical and applicative notions of machine learning, gradient descent, perceptron, Bayesian models, good practices, NLP etc.

Years taught: 2022

Introduction to Imperative Programming

Introduction to programming in C++

Years taught: 2018, 2019, 2020, 2021
Course Webpage

Modular programming

Structures, classes, operator overload, encapsulation, testing and separate compilation, project-based learning

Years taught: 2022
Course Webpage

Introduction to data science

Overview of the processing chain of a data science problem, concepts of statistics and computer vision, project-based learning.

Years taught: 2021, 2022
Course Webpage

Multidisciplinary projects

Project-based learning in math-info, basic python and SAGE

Years taught: 2019, 2020
Course Webpage