Complementary Educational Activity (AFC)#

The Complementary Educational Activity (AFC) is a 6-CFU activity in the Master’s Degree Programme in Computer Science. In Italian it is called Attività Formativa Complementare, which explains the acronym AFC used in Infostud and in the curriculum.

How to obtain the 6 CFU#

Students may complete the AFC requirement in one of the following ways:

1. choose one of the AFCs offered each year by the Degree Programme, combining classroom teaching and individual work;
2. carry out a structured activity proposed by a lecturer, involving individual work without classroom teaching;
3. agree with a lecturer on an individual-work topic connected with one of their courses or research activities;
4. pass an exam for a course outside the study plan and have it officially recorded as an AFC;
5. request recognition of an activity completed outside the University from the Committee for the Recognition of Extracurricular Activities.

Before starting an individual, external or extra-curricular activity, check the recognition and recording procedure with the lecturer or the competent committee. The activity must ultimately be recorded as the AFC included in your approved study plan.

AFCs offered in A.Y. 2026/27#

The activities below are intended for students in the first semester of the second year.

Type 1: classroom teaching and individual work#

VFX Pipeline Engineering & AI Automation#

• Instructors: Federica Mezzani and Virgil Sisoe — M74 Academy
• Format: five modules in hybrid mode
• Workload: 10 hours of theory and 10–12 hours of practical sessions
• Location: online and in person at M74 Academy, Via della Lungara 34

Type 2: structured activities without classroom teaching#

AI for Design and Verification of Safety/Mission Critical Intelligent Systems#

• Instructors: Toni Mancini and Enrico Tronci
• Course page: AI for Design and Verification of Safety/Mission Critical Intelligent Systems

Game and Gamification Design#

• Instructor: Emanuele Panizzi
• Laboratory support: Francesco Lutrario

Artificial Intelligence and Extended Reality (XR)#

• Instructor: Marco Raoul Marini

Advanced AI for Visual, Neurophysiological and Wi-Fi Sensing#

• Instructor: Danilo Avola

Official notice#

• Official English notice for A.Y. 2026/27 (PDF)
• Official Italian notice for A.Y. 2026/27 (PDF)

AFC offerings can change from one academic year to another. Use the notice for your academic year and verify any operational details with the Degree Programme or the lecturer responsible for the activity.