Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
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I semestre | Oct 1, 2024 | Jan 31, 2025 |
II semestre | Mar 3, 2025 | Jun 13, 2025 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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Algebra e matematica di base
Mathematical analysis
2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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3° Year It will be activated in the A.Y. 2026/2027
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Algebra e matematica di base
Mathematical analysis
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Sistemi operativi e reti (It will be activated in the A.Y. 2025/2026)
Teaching code
4S001307
Credits
12
Scientific Disciplinary Sector (SSD)
-
Learning objectives
Computer networks: The course aims to provide the conceptual foundations and main techniques for designing computer networks, with particular attention to the concepts relating to the division of functionality into levels and the management of network resources. At the end of the course, the student will have to: Demonstrate knowledge and understanding of the functioning of network protocols at different levels; Know how to apply the knowledge acquired in order to understand communication between protocols to transfer information between computers; Be able to choose the appropriate type of network service to support specific applications; Know how to argue in a technical and precise way how the transmitted information is managed, including its processing and the choice of the path followed; Be able to continue the studies independently in learning the different protocols based on their functionality in the development of network applications. Operating Systems II: The course aims to provide a global vision of the solutions adopted in the operating systems for storing information either temporarily or permanently and to provide the theoretical-practical notions for the synchronization of processes and for their distribution across multiple processing units either local to the machine or separated by a communication network. At the end of the course, the student will have to: Demonstrate knowledge and understanding of the main strategies with which the operating system manages memory and computing resources also in terms of safety and security; Know how to apply the knowledge acquired in order to manage memory in an advanced manner, the synchronization between processes and their distribution across multiple processing units either local to the machine or separated by a communication network; Be able to independently evaluate the appropriate design choices within the services offered by an operating system for the management of memory, computing resources and communication between them; Know how to argue in a technical and precise way the functioning of an operating system in relation to the management of memory and communication and synchronization between processes; Be able to continue the studies independently or face the world of work also in the field of operating systems by addressing advanced topics relating to the scenarios of distributed, real-time and embedded systems.
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Graduation
List of thesis proposals
theses proposals | Research area |
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Analisi e percezione dei segnali biometrici per l'interazione con robot | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
Integrazione del simulatore del robot Nao con Oculus Rift | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
BS or MS theses in automated reasoning | Computing Methodologies - ARTIFICIAL INTELLIGENCE |
Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
Domain Adaptation | Computing methodologies - Machine learning |
Dati geografici | Information Systems - INFORMATION SYSTEMS APPLICATIONS |
Analisi e percezione dei segnali biometrici per l'interazione con robot | Robotics - Robotics |
Integrazione del simulatore del robot Nao con Oculus Rift | Robotics - Robotics |
BS or MS theses in automated reasoning | Theory of computation - Logic |
BS or MS theses in automated reasoning | Theory of computation - Semantics and reasoning |
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata | Various topics |
Proposte di Tesi/Stage/Progetto nell'ambito dell'analisi dei dati | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.