Artificial Intelligence
A.Y. 2024/2025
Learning objectives
The course presents the theoretical foundations, the methodologies and the technologies of artificial intelligence for information and knowledge processing, with specific reference to neural networks, fuzzy systems, and evolutionary computing.
Expected learning outcomes
Understanding of the theoretical foundation, the methodologies, and the technologies of artificial intelligence, with specific reference to neural networks, fuzzy systems, and evolutionary computing.
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
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Genovese Angelo
Shifts:
Turno
Professor:
Genovese AngeloProfessor(s)