How and When to Enroll
The information required to enroll in the course is provided in the notice that outlines the admission procedures.
- Read the notice (PDF)
- Read the notice (PDF)
MINR/MARR III–IV–V Exam Sessions, Academic Year 2025/2026:
https://docs.google.com/spreadsheets/d/1BufmdmJWk5TJ70NXsuFcMHh-rvUihgQy...
At the following link you can find the Semester II timetable for the academic year 2025–2026, along with links to the web pages of the individual courses:
The main reference sheet is EngCS & ECSAI.
For the following elective courses:
Robotics II, Computer Vision, Interactive Graphics, Multilingual Natural Language Processing,
please refer to the AIRO (Artificial Intelligence and Robotics) sheet.
For other elective courses not listed in the sheets please refer to the page providing the detailed timetable or to the timetable and/or information that you can find on the web pages of the following degrees:
Data Science for Graph Mining and Applications
Management Engineering for Innovation Management and Project Management (second year sheet BIA)
Cybersecurity for Secure Computation
Telecomunication Engineering for Laboratory of Network Design and Configuration
Second-year students who have Deep Learning in their study plan should refer to the timetable of the Generative AI course.
Note: The semester indication for elective courses on the Study Plan page is not correct (the issue is currently being resolved). For the correct semester in which a course is offered, please refer to the Courses page in the section Attending.
First-year classes will begin on September 22, 2025, with the following exceptions:
Second-year classes will begin on September 24, 2025, with the following exceptions:
Notice: For the Big Data Computing course, please refer to the Data Mining course schedule.
Contact the instructors if you have this course in your study plan.
Classes are mainly held at the San Pietro in Vincoli campus, Via Eudossiana 18, and at DIAG, Via Ariosto 25.
Some second-year classes take place at the SASS School, Viale Regina Elena 295, at the Via del Castro Laurenziano 7-9 campus, at the Caglioti building (Città Universitaria), and at the Paolo Ercoli Laboratories, Via Tiburtina 205.
The information required to enroll in the course is provided in the notice that outlines the admission procedures.