The summer school consists of four teaching blocks, each focusing on a specific topic and taught by a different lecturer and a preliminary teaching block (3 hours) on Tuesday 3th of June for a short introduction on machine learning, an alignment abacus to allow students to follow subsequent advanced courses. This will be in blended format, the lecturer in presence at the Department of Mathematics. Each of the other 4 blocks (6 hours each) is complemented by a lab session (2 hours) and/or exercise session (2 hours).

→ Topics

In addition to this teaching units, the following activities will be organized:

• Scientific seminars given by experts working in industrial sectors working on topics such as biomedical imaging, cultural heritage, HPC, medical imaging.
  → Seminars

• Computing imaging lab activities.
  Instructors: MIVA-UMI Staff.