Teaching

SORBONNE UNIVERSITÉ

Bachelor’s Level (Years 1-2)

  • Year 1: Programming Fundamentals 1 (Tutorials)
  • Year 1: Programming Fundamentals 1 – 9 ECTS (Tutorials)
  • Year 1: Programming Fundamentals – Science Track (Digital Sciences and Computer Science) (Practical Work)
  • Year 2: Numerical Methods and Matlab (Tutorials, Practical Work)
  • Year 2: Introduction to C Programming (Tutorials, Practical Work)

Master’s Year 1

  • Scientific Computing, Signal and Data Processing (Practical Work)
  • Object-Oriented Programming in Python (Practical Work)
  • Object-Oriented Programming in C++ (Practical Work)
  • Linear Control Systems: AUTO1 (Tutorials, Practical Work)
  • M1 Robotics Internships, ISI track (Tutorials – supervision)
  • M1 Robotics Internships, SAR track (Tutorials – supervision)

Master’s Year 2

  • Social Robotics (Lectures, Tutorials, Practical Work)
  • AI for Robotics (Lectures, Tutorials, Practical Work)
  • Interaction Perception (Tutorials)
  • Machine Learning for Human-Machine Interaction (Master’s 2)

POLYTECH SORBONNE

  • Computer Science for Robotics (ROS2)
  • Systems Computer Science ROB (Practical Work)
  • Artificial Intelligence for Robotics (Lectures, Practical Work)
  • Object-Oriented Programming ROB (Python and C++)
  • Industrial Project 1 and 2 ROB

SCIENCES PO

Master’s Year 1

  • Introduction To Data Sciences For Public Policy (Lectures)
  • Data Science For Public Policies – Level 2 (Lectures)
  • Workshop Python (Lectures, Tutorials)
  • Tutorial Python (Optional) (Lectures, Tutorials)

ENSTA – Institut Polytechnique de Paris

Master’s Year 1

  • Explainability in Artificial Intelligence (Computer Science Project)