undamentals of artificial intelligence
- Ethics and deontology in artificial intelligence
- Logic and symbolic artificial intelligence
- Statistics
- Probabilistic graphical models
- Basics of statistical learning
Learning and optimisation for AI
- Deep learning
- Large-scale statistical learning
- Reinforcement learning
- Learning for robotics
- GPGPU programming for learning
Artificial intelligence in interaction
- Automatic language processing
- Learning for the image and recognition of objects
- Computer vision
Real case studies
- Personal and technical development of internship research
- Common thread project
- Scientific and industrial seminars
