After taking the course, the students will be familiar with the historical evolution, techniques, and key concepts of modern artificial intelligence and machine learning, with particular emphasis on neural networks and deep learning, and on the crucial role these technologies are playing in the development of generative artificial intelligence.
None.
Frontal lectures with some guided laboratory activities.
The exam consists in a written test which includes both open-ended and closed-ended questions concerning theoretical topics and applications of the methods presented in the course.
The students are required to consult the e-learning page of the course on a weekly basis to obtain the support materials for the lectures and/or any additional resources the instructor will provide.
The course's program is the same for both not-attending and attending students.
