Other educational components

The teachers of the Course periodically organizes integrative activities, seminars, and publicizes them with specific notices.

Criteria for the recognition of credits for language certifications

Credits can be recognised  for language skills based on the assessment of the level achieved according to the Common European Frameowrk of Reference for Languages (CEFR)

- English language, level equal to B2: 0 CFU
- English language, level equal to C1: 2 CFU
- English language, level equal to C2: 4 CFU

For languages other than English and the student's mother tongue, 2 CFU will be recognized in the presence of B2 level certification.
For languages other than English and the student's mother tongue, 4 CFU will be recognized in the presence of certification of a level equal to or higher than C1





29 April 2026

Seminar on Secure Software Development: From Requirements to DevSecOps

The seminar aims to provide students with the concepts, tools, practices, and frameworks needed to integrate security throughout the entire software development lifecycle (SDLC). It will take place over three afternoons, May 5, 12, and 19, from 3:00 PM to 7:00 PM. Participation is open to all interested students.

06 May 2024

Introduction to the "Hack The Box" Lab

An introductory seminar is organized on 14 May, from H14:15 to present the Hack the Box platform and the activities that allow getting credits

15 January 2024

Seminario di Deep Learning e Computer Vision con PyTorch

Sono aperte le iscrizioni al seminario Deep Learning e Computer Vision con PyTorch, che si svolgerà dal giorno 8 al 15 gennaio 2024. Il seminario fornirà una panoramica sulle tematiche del Deep Learning, focalizzato alle applicazioni di Computer Vision. La durata totale del corso è di 20 ore. Il seminario sarà tenuto dalla prof.ssa Maura Pintor interamente in lingua inglese.

15 January 2024

Seminario di Deep Learning e Computer Vision con PyTorch

Sono aperte le iscrizioni al seminario Deep Learning e Computer Vision con PyTorch, che si svolgerà dal giorno 19 al 23 gennaio 2026. Il seminario fornirà una panoramica sulle tematiche del Deep Learning, focalizzato alle applicazioni di Computer Vision. La durata totale del corso è di 20 ore. Il seminario sarà tenuto dalla prof.ssa Maura Pintor interamente in lingua inglese.

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