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 |
---|---|---|
Primo semestre | Oct 4, 2021 | Jan 28, 2022 |
Secondo semestre | Mar 7, 2022 | Jun 10, 2022 |
Session | From | To |
---|---|---|
Sessione invernale d'esame | Jan 31, 2022 | Mar 4, 2022 |
Sessione estiva d'esame | Jun 13, 2022 | Jul 29, 2022 |
Sessione autunnale d'esame | Sep 1, 2022 | Sep 30, 2022 |
Session | From | To |
---|---|---|
Sessione Estiva | Jul 12, 2022 | Jul 12, 2022 |
Sessione Autunnale | Oct 18, 2022 | Oct 18, 2022 |
Sessione Autunnale Dicembre | Dec 6, 2022 | Dec 6, 2022 |
Sessione Invernale | Mar 13, 2023 | Mar 13, 2023 |
Period | From | To |
---|---|---|
Festa di Tutti i Santi | Nov 1, 2021 | Nov 1, 2021 |
Festa dell'Immacolata Concezione | Dec 8, 2021 | Dec 8, 2021 |
Festività natalizie | Dec 24, 2021 | Jan 2, 2022 |
Festa dell'Epifania | Jan 6, 2022 | Jan 7, 2022 |
Festività pasquali | Apr 15, 2022 | Apr 19, 2022 |
Festa della Liberazione | Apr 25, 2022 | Apr 25, 2022 |
Festività Santo Patrono di Verona | May 21, 2022 | May 21, 2022 |
Festa della Repubblica | Jun 2, 2022 | Jun 2, 2022 |
Chiusura estiva | Aug 15, 2022 | Aug 20, 2022 |
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.
Academic staff

Maris Bogdan Mihai
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 enrolment year.
Modules | Credits | TAF | SSD |
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Mathematical analysis 1
Computer Architecture
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1° Year
Modules | Credits | TAF | SSD |
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Mathematical analysis 1
Computer Architecture
2° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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3° Year It will be activated in the A.Y. 2023/2024
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.
Computer Networks (2022/2023)
Teaching code
4S00049
Teacher
Coordinatore
Credits
6
Also offered in courses:
- Introduction to operating systems and networks - ELEMENTI DI RETI of the course Bachelor's degree in Bioinformatics
Language
Italian
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
Semester 1 dal Oct 3, 2022 al Jan 27, 2023.
Learning objectives
The course aims to provide the principles and the main planning techniques of computer networks, with particular emphasis on the concepts related to the division of functions into levels and the man- agement of network resources. At the end of the course the student must demonstrate knowledge and understanding of network and concurrent protocols; have the ability to apply the acquired knowledge and understanding skills to choose the type of appropriate network service to support specific applications, combined with an application analysis capability to determine the features useful in the design phase; have the ability to explain the transformation of information and the path followed by it from source to destination; know how to develop the skills necessary to continue learning the different protocols based on their functionality in the development of network applications.
Prerequisites and basic notions
In order to understand some concepts of the course, it is advisable to have already followed and understood the following courses: "Programming I" and "Operating Systems"
Program
* General concepts:
-- Classification: WAN, MAN, LAN;
-- Circuit-switched and packet-switched networks;
-- Reference models: ISO-OSI and TCP/IP.
* The Application Level:
-- The client/server model;
-- World Wide Web (HTTP);
-- File Transfer Protocol (FTP);
-- Electronic mail (SMTP, POP3 e IMAP);
-- Domain Name Service (DNS).
* The Transport Level:
-- Aims and services;
-- TCP (3-way handshaking, flow control, retransmission, congestion control);
-- UDP;
* The Network Level:
-- The IP protocol:
---- Packet format;
---- Address format and use, netmask, ARP and RARP;
---- Class-less inter-domain routing (CIDR);
-- Dynamic host configuration protocol (DHCP);
-- Internet control management protocol (ICMP);
-- Routing protocols (distance vector, link state routing);
-- IPv6;
-- Network Address Translation (NAT).
* The Data-Link Level:
-- Framing;
-- Multple access;
-- The MAC sub-layer: Aloha, CSMA, CSMA/CD, CSMA/CA;
-- Bridge, switch and LAN;
-- Wireless LAN.
Bibliography
Didactic methods
Lessons in the classroom.
Learning assessment procedures
The examination aims at verifying the comprehension of course contents and the capability to apply these contents in the resolution of some exercises.
Examination consists of a written test with three questions about the theory and three numerical exercises.
Evaluation criteria
The total score that can be obtained from the questions about the theory is 12 points. The student must obtain at least 7 points int his part, otherwise the examination fails and the exercises are not evaluated.
The total score that can be obtained from the exercises is 21 points.
Criteria for the composition of the final grade
The final score is the sum the points obtained from the questions and from the exercises. If the final score is less than 17 points, the examination fails. If it is equal to 17 points, the student must sustain an oral exam. If the final score is equal to or greater than 18 points, the exam is passed, unless the examiner asks for a compulsory additional oral exam. If the exam is passed, the student may ask for an additional oral exam. The oral exam consists of at least three questions about the theory. The final score is given by the mean of the scores obtained in the written and oral exams.
Exam language
italiano
Type D and Type F activities
Le attività formative di tipologia D sono a scelta dello studente, quelle di tipologia F sono ulteriori conoscenze utili all’inserimento nel mondo del lavoro (tirocini, competenze trasversali, project works, ecc.). In base al Regolamento Didattico del Corso, alcune attività possono essere scelte e inserite autonomamente a libretto, altre devono essere approvate da apposita commissione per verificarne la coerenza con il piano di studio. Le attività formative di tipologia D o F possono essere ricoperte dalle seguenti attività.
1. Insegnamenti impartiti presso l'Università di Verona
Comprendono gli insegnamenti sotto riportati e/o nel Catalogo degli insegnamenti (che può essere filtrato anche per lingua di erogazione tramite la Ricerca avanzata).
Modalità di inserimento a libretto: se l'insegnamento è compreso tra quelli sottoelencati, lo studente può inserirlo autonomamente durante il periodo in cui il piano di studi è aperto; in caso contrario, lo studente deve fare richiesta alla Segreteria, inviando a carriere.scienze@ateneo.univr.it il modulo nel periodo indicato.
2. Attestato o equipollenza linguistica CLA
Oltre a quelle richieste dal piano di studi, per gli immatricolati dall'A.A. 2021/2022 vengono riconosciute:
- Lingua inglese: vengono riconosciuti 3 CFU per ogni livello di competenza superiore a quello richiesto dal corso di studio (se non già riconosciuto nel ciclo di studi precedente).
- Altre lingue e italiano per stranieri: vengono riconosciuti 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).
Tali cfu saranno riconosciuti, fino ad un massimo di 6 cfu complessivi, di tipologia F se il piano didattico lo consente, oppure di tipologia D. Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.
Gli immatricolati fino all'A.A. 2020/2021 devono consultare le informazioni che si trovano qui.
Modalità di inserimento a libretto: richiedere l’attestato o l'equipollenza al CLA e inviarlo alla Segreteria Studenti - Carriere per l’inserimento dell’esame in carriera, tramite mail: carriere.scienze@ateneo.univr.it
3. Competenze trasversali
Scopri i percorsi formativi promossi dal TALC - Teaching and learning center dell'Ateneo, destinati agli studenti regolarmente iscritti all'anno accademico di erogazione del corso https://talc.univr.it/it/competenze-trasversali
Modalità di inserimento a libretto: non è previsto l'inserimento dell'insegnamento nel piano di studi. Solo in seguito all'ottenimento dell'Open Badge verranno automaticamente convalidati i CFU a libretto. La registrazione dei CFU in carriera non è istantanea, ma ci saranno da attendere dei tempi tecnici.
4. Periodo di stage/tirocinio
Oltre ai CFU previsti dal piano di studi (verificare attentamente quanto indicato sul Regolamento Didattico): qui informazioni su come attivare lo stage.
Insegnamenti e altre attività che si possono inserire autonomamente a libretto
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | Introduction to Robotics to students of scientific courses. | D |
Paolo Fiorini
(Coordinatore)
|
2° 3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinatore)
|
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | Introduction to Robotics to students of scientific courses. | D |
Paolo Fiorini
(Coordinatore)
|
2° 3° | Introduction to 3D printing | D |
Franco Fummi
(Coordinatore)
|
2° 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinatore)
|
2° 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinatore)
|
2° 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinatore)
|
2° 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinatore)
|
years | Modules | TAF | Teacher | |
---|---|---|---|---|
1° | Subject requirements: mathematics | D |
Franco Zivcovich
|
|
2° 3° | Python programming language | D |
Giulio Mazzi
(Coordinatore)
|
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.
Erasmus+ and other experiences abroad
Graduation
List of theses and work experience proposals
theses proposals | Research area |
---|---|
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 delle basi di dati/sistemi informativi | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.