ERASMUS+ International PhD Summer School 2025 Mathematics and Machine Learning for image analysis

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).