Computer Science

First-semester classes

Academic Year 2026/2027
Students may obtain the 6 ECTS credits required for a Complementary Educational Activity (AFC) through one of the following options:

1. Choose an AFC offered by the Degree Programme
   Select one of the AFCs offered each year by the Degree Programme, which include both classroom teaching and individual work.
2. Carry out a structured activity proposed by a lecturer
   Undertake a structured activity proposed by a lecturer, involving individual work but no classroom teaching.
3. Agree on an individual project with a lecturer
   Agree with a lecturer on a topic for individual work, related either to a course taught by the lecturer or to their research activities.
4. Take an examination in an additional course
   Pass an examination for a course not included in the student's study plan, which may subsequently be officially recorded as an AFC.
5. Obtain recognition of an extracurricular activity
   Obtain recognition from the Committee for the Recognition of Extracurricular Activities for an activity carried out outside the University, to be validated as an AFC.

AFCs Offered for the Academic Year 2026/2027
The following Complementary Educational Activities are offered to students enrolled in the first semester of the second year for the academic year 2026/2027.
Type 1 AFC – Classroom Teaching and Individual Work
Instructors: Federica Mezzani, Virgil Sisoe – M74 Academy
Title: VFX Pipeline Engineering & AI Automation
Classroom/laboratory hours:
5 modules comprising:

• 10 hours of theory;
• 10–12 hours of practical sessions.

The activities will be delivered in a hybrid format, both remotely and in person at the M74 premises, Via della Lungara 34.
Type 2 AFC – Structured Activities Proposed by a Lecturer, with No Classroom Teaching
Instructors: Toni Mancini, Enrico Tronci
Title: AI for Design and Verification of Safety/Mission Critical Intelligent Systems
Course webpage: https://raise.uniroma1.it/teaching/ai-for-critical-systems/
Instructor: Emanuele Panizzi, with laboratory support from Francesco Lutrario
Title: Game and Gamification Design
Instructor: Marco Raoul Marini
Title: Artificial Intelligence and Extended Reality (XR)
Instructor: Danilo Avola
Title: Advanced AI for Visual, Neurophysiological and Wi-Fi Sensing

Please be informed that, starting today, class schedules and assigned classrooms will be uploaded and approved progressively.
Please note that this process will not be immediate and will require some time to be completed.
We therefore kindly ask all Degree Programmes, lecturers, and students to wait for the publication of the final timetable in PDF format, which will be available in the Featured Announcements section by the first week of September.

Please note that emails regarding class timetables will not be answered until the final publication of the schedules.