A.Y. 2026/2027

The current offering of ad-hoc PhD courses for the academic year 26/27 includes the following, with their respective CFUs and total teaching hours: 

Course Title CFUs Total Teaching Hours Teacher
Development of Complex Software Systems by Reusing Third-Party Open Source Components 1 6 
Davide Di Ruscio
Collective Decision Making and Swarm Robotics 2 12 
Giulia De Masi
Ethics of AI and Information and Communication Technology 2 12 
Donatella Donati
Introduction to Robotics in the Medical Context 2 12 
Daniela D’Auria
Research Projects: From Proposal Writing to Management 0.7 4 
Antinisca Di Marco
Quantum Computing 2.5 14 
Leonardo Guidoni
Research Methodology4 24 Phuong Nguyen
Digital System-on-Chip Design 2.5 15 
Guido Di Patrizio Stanchieri
Engineering Gamified Systems 2 12
Antonio Bucchiarone
Advanced Model-Driven Engineering Techniques: Foundations, evolution, and research-grade modeling with Jjodel 2 12 Alfonso Pierantonio
Wireless Sensor and Vehicular Networks Security 4.6 28 
Marco Pugliese
Data Science and Artificial Intelligence in the EU regulatory framework 2 12 
Lisandra Suárez Fernández
Graph Machine Learning212Francesco Gullo
Software Fairness212Antinisca Di Marco; Giordano D’Aloisio
Answer Set Programming212Stefania Costantini
Generative AI for Software Engineering212Henry Muccini; Roberta Capuano
Systematic Literature Reviews in ICT Research: Methodological Approaches and Best Practices212Federica Caruso
Learning Based Control1.6710Daniele Masti
Multi-Agent Systems: Path Planning and Coordination212Alessia Di Fonso

If not explicitly specified, the courses will be online via MS Teams. You can join the Team “PHD ICT – Seminars and Courses” by using the code 9kkf5ny

Details of the courses above are available at PhD Courses_Syllabus_26_27 and at PhD ad-hoc Courses Calendar

In addition to the courses listed above, PhD students may also attend courses offered by other PhD programs, provided that this is agreed in advance with their (co-)supervisor. The supervisor must confirm that the selected course offers a clear scientific and cultural benefit for the student’s research activities, as these external courses can then be recognized within the individual training plan.

Other external schools and doctoral programs may also be considered, as long as the training is coherent with the student’s research direction and approved by the supervisor.