Artificial Intelligence: Methods and Applications

The teaching aims to introduce the fundamental concepts concerning Artificial Intelligence, illustrating the main methods and applications.
It also intends to provide the student with the philosophical and sociotechnical bases of the concept of Artificial Intelligence, with particular attention to the role played by the same in the development of Cognitive Sciences.
Secondly, the course intends to develop critical knowledge on the psychological and social factors related to the implementation of Artificial Intelligence in the real world.
The knowledge of the methods used by Artificial Intelligence in the various fields of application is considered of utmost importance, deepening the algorithmic aspects of each topic.
In the presentation of the course contents, particular attention will be paid to methods and applications relevant to data analysis, in order to provide the student with an understanding of the use of Artificial Intelligence as a powerful knowledge discovery tool.

The student will have to fully learn the methods underlying the different types of AI applications, knowing how to critically compare the different algorithmic solutions of the same problem.
Furthermore, the student must be able to deal with real AI management cases in an application context.
The communication of the knowledge learned must take place through a formally correct lexicon.