Nell’ambito dell’offerta formativa trasversale per i dottorati di ricerca è stato attivato il corso comune di Ateneo, tenuto dal prof. Alessandro Bria:
Understanding Artificial Intelligence
7 incontri, dal 26.09.2025 al 21.11.2025
ore 14:30-17:30, Aula 2.2 (Campus Ingegneria, Palazzina A)
Codice Classroom: 4esvnlg
Il corso verrà erogato in lingua inglese.
Calendario del corso:
- Friday, September 26, from 2:30 p.m. to 5:30 p.m.
- Friday, October 17, from 2:30 p.m. to 5:30 p.m.
- Friday, October 24, from 2:30 p.m. to 5:30 p.m.
- Friday, October 31, from 2:30 p.m. to 5:30 p.m.
- Friday, November 7, from 2:30 p.m. to 5:30 p.m.
- Friday, November 14, from 2:30 p.m. to 5:30 p.m.
- Friday, November 21, from 2:30 p.m. to 5:30 p.m.
Programma del corso:
• History of AI: a historical overview from rule-based systems to modern technologies;
• Understanding Machine and Deep Learning: how machines learn from data;
• Understanding Generative AI: Generative Adversarial Networks, Large Language Models,
Diffusion models;
• AI across disciplines: AI in science and engineering, AI in humanities and social sciences, AI in economics, and more.
Si ricorda che la frequenza del corso è obbligatoria per i dottorandi del 40° ciclo, mentre per i dottorandi del 38° e 39° ciclo è facoltativa.
Within the framework of the University’s cross-disciplinary training offer for PhD programmes, the following common course has been activated:
Understanding Artificial Intelligence
Lecturer: Prof. Alessandro Bria
7 lessons, from 26 September 2025 to 21 November 2025
2:30–5:30 p.m. | Room 2.2 (Engineering Campus, Building A)
Google Classroom code: 4esvnlg
The course will be delivered in English.
Course schedule:
- Friday, September 26, from 2:30 p.m. to 5:30 p.m.
- Friday, October 17, from 2:30 p.m. to 5:30 p.m.
- Friday, October 24, from 2:30 p.m. to 5:30 p.m.
- Friday, October 31, from 2:30 p.m. to 5:30 p.m.
- Friday, November 7, from 2:30 p.m. to 5:30 p.m.
- Friday, November 14, from 2:30 p.m. to 5:30 p.m.
- Friday, November 21, from 2:30 p.m. to 5:30 p.m.
Course program:
• History of AI: a historical overview from rule-based systems to modern technologies;
• Understanding Machine and Deep Learning: how machines learn from data;
• Understanding Generative AI: Generative Adversarial Networks, Large Language Models, Diffusion models;
• AI across disciplines: AI in science and engineering, AI in humanities and social sciences, AI in economics, and more.
Please note that attendance is optional for PhD students enrolled in the 38th and 39th cycles. For PhD students of the 40th cycle, the course is mandatory.
18/09/2025