→ 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)
UNIVERSITA' DEGLI STUDI ROMA "TOR VERGATA"












