The CdS in Artificial Intelligence aims to train experts in the theoretical foundations, techniques, methodologies, and methods of applying artificial intelligence. The course aims at providing graduates a cultural and professional profile clearly different from the one of computer science graduates, mainly for the interdisciplinary traits characterizing the most recent developments in artificial intelligence. Artificial Intelligence graduates will receive a solid training on the essential topics for artificial intelligence in the areas of mathematics, computer science, physics, and cognitive sciences. In particular, graduates will be able to use logical-mathematical tools with awareness, will possess a solid knowledge of the fundamental aspects of computer science and command of the topics, techniques and methodologies of artificial intelligence, including the extraction and representation of knowledge, automatic reasoning , machine learning, artificial vision, search and optimization algorithms, human-machine interaction, as well as application-based disciplines. Graduates in AI will also possess legal and ethical knowledge enabling them to make conscious use of the acquired knowledge and skills in decision-making and information processing processes. This knowledge is acquired through lectures and laboratory activities. The verification of the knowledge acquired in the various training activities is carried out in the most suitable forms for the specific types and characteristics of training activities. The verifications typically consist, for example, of written and/or oral exams, reports on the activities carried out and the knowledge acquired, intermediate tests, as well as the final test for obtaining the degree.
The laboratory and internship activities enable graduates to contribute, on the basis of constantly updated interdisciplinary knowledge and skills, to the design and implementation of innovative solutions based on AI techniques and models, both in the public and private sectors.
The educational activities aim both at understanding the fundamentals of AI and at experimenting its use in applications. The degree course is structured as follows:
- the first two years consist of training activities dedicated to the founding nucleus of training in artificial intelligence and are essential for defining the graduate's interdisciplinary profile.
- the third year is partially dedicated to the definition of specific methodological skills of artificial intelligence as well as to the use of artificial intelligence in application areas; in the third year, students can freely choose some courses according to their cultural interests and can complete the practical understanding of artificial intelligence, also in application areas, through laboratory activities or internships;
- the training course is completed at the end of the third year with the final exam.
