Subjects – Block D – COMPUTATIONAL METHODS

→ Also for Engineering Sciences / Systems Engineering / Mechatronics, but with an emphasis on math and computing. It is conceived for eager students who are willing to expand their knowledge by acquiring advanced mathematical skills and computing capabilities.

D

Designed for eager students of Mechatronics Engineering from Engineering Sciences or Systems Engineering who are willing to deepen their knowledge by acquiring advanced mathematical and computational skills. (since a.y. 2025-26)

Besides a first advanced course in mathematical analysis addressing complements of complex variable theory and elements of distribution theory, the block provides a second course introducing the Python exosystem for scientific computing along with a third course on data analysis and signal processing techniques for model fitting and parametric estimates or non-linear solving of inverse problems (such as image denoising, source separation, and PSF decomposition).

The fourth course will finally provide a solid knowledge of the theoretical background behind the main Machine Learning (ML) algorithms, from Neural Networks to Reinforcement Learning, along with their application (using standard libraries in a Python environment) to open physical problems.

Block D aims to prepare professionals who can deal with complex design and management problems using advanced mathematical tools, yet with an engineering attitude.

Professional opportunities involve R&D divisions in manufacturing or engineering companies that deal with complex computational problems or need advanced mathematical tools.

SCHEDULE (Agendaweb)

BLOCK D – COMPUTATIONAL METHODS 24 cfu (specific subjects for curriculum D)
1 I NUMERICAL METHODS FOR ASTROPHYSICS 6 H. Bourdin FIS/05 PHYS-05/A D PHY
1 I MATHEMATICAL METHODS FOR PHYSICS 8 G. Dibitetto  FIS/02 PHYS-02/A  D PHY
2 I LABORATORY – CALCULUS 4 H. Speleers INF/01 INFO-01/A D PHY
opt D – One of the following 2 subjects:
2 II Machine Learning Methods for Physics 6 M. Buzzicotti  FIS/01 PHYS-01/A  D PHY
2 II Quantum Computing 6 A. Di Carlo, Sargeni, Salamon, Auf Der Maur    D ELECT

1st Year 1st Semester

1st Year 2nd Semester

2nd Year 1st Semester

2nd Year 2nd Semester

(optD)