Artificial Intelligence
A.Y. 2026/2027
Learning objectives
Students will acquire in-depth knowledge and skills in the history of science, with particular focus on the evolution of Artificial Intelligence within Information Technology and its intersection with other sciences.
Expected learning outcomes
Students will acquire the ability to:
- evaluate critically the source of information and the reliability of data in the field of intelligent artificial systems' training and the responses provided by such systems;
- apply reasoning skills in diverse scientific contexts that characterise the developments of Artificial Intelligence and its applications across various sectors;
- use relational, communicative and organisational skills also in highly complex contexts and in the management of group work;
- transmit the skills obtained also in non-specialist contexts;
- reflect on their own skills and evaluations;
- independently investigate a philosophical position or theoretical thesis.
- evaluate critically the source of information and the reliability of data in the field of intelligent artificial systems' training and the responses provided by such systems;
- apply reasoning skills in diverse scientific contexts that characterise the developments of Artificial Intelligence and its applications across various sectors;
- use relational, communicative and organisational skills also in highly complex contexts and in the management of group work;
- transmit the skills obtained also in non-specialist contexts;
- reflect on their own skills and evaluations;
- independently investigate a philosophical position or theoretical thesis.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Modules or teaching units
Parte A e B
INFO-01/A - Informatics - University credits: 6
Lessons: 40 hours
Parte C
INFO-01/A - Informatics - University credits: 3
Lessons: 20 hours
Professor(s)
Reception:
Wednesday 11 am, also via Skype or Teams (contact me via e-mail)
Via Teams, Skype or in Via Festa del Perdono 7, Dipartimento di Filosofia, cortile Ghiacciaia, secondo piano (please, take an appointment via e-mail)