Dissertation topics suggested by the teacher.
I regularly supervise bachelor (Laurea), master (Laurea Magistrale), and PhD theses in numerical analysis and scientific computing.
At the bachelor level, proposed topics typically build on core courses in numerical analysis, including subjects such as approximation theory, numerical methods for ordinary differential equations, and the discretization of simple models arising from applications.
Master and PhD theses focus on more advanced themes, in particular the numerical approximation of partial differential equations, with applications to problems in materials science and engineering. These projects may involve both theoretical and computational aspects, depending on the student's interests and background.
I welcome motivated students interested in these areas to get in touch to discuss possible projects.
Recent dissertations supervised by the teacher.
First cycle degree programmes dissertations
- Analisi numerica dell’equazione del calore con dati stocastici
- Approssimazione di funzioni: un confronto tra metodi classici e metodi basati sul machine learning
- Approssimazione di zeri, sistemi dinamici discreti e frattali.
- Elementi finiti per l'equazione di Helmholtz
- Il problema agli autovalori del laplaciano e la sua approssimazione con il metodo degli elementi finiti
- Metodi numerici per equazioni differenziali: confronto tra elementi finiti e metodi basati sul machine learning
- Metodi numerici per problemi di quantificazione dell'incertezza
