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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I sem. Oct 2, 2017 Jan 31, 2018
II sem. Mar 1, 2018 Jun 15, 2018
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2018 Feb 28, 2018
Sessione estiva d'esame Jun 18, 2018 Jul 31, 2018
Sessione autunnale d'esame Sep 3, 2018 Sep 28, 2018
Degree sessions
Session From To
Sessione di laurea estiva Jul 18, 2018 Jul 18, 2018
Sessione di laurea autunnale Nov 22, 2018 Nov 22, 2018
Sessione di laurea invernale Mar 20, 2019 Mar 20, 2019
Period From To
Christmas break Dec 22, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Patron Saint Day May 21, 2018 May 21, 2018
Vacanze estive Aug 6, 2018 Aug 19, 2018

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.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff


Belussi Alberto +39 045 802 7980
Foto,  February 9, 2017

Bloisi Domenico Daniele

Bombieri Nicola +39 045 802 7094

Bonacina Maria Paola +39 045 802 7046

Bonnici Vincenzo +39 045 802 7045

Boscaini Maurizio

Busato Federico

Calanca Andrea +39 045 802 7847

Carra Damiano +39 045 802 7059

Combi Carlo 045 802 7985

Daffara Claudia +39 045 802 7942

Dalla Preda Mila

Danese Alessandro 045 802 7048

Di Pierro Alessandra +39 045 802 7971

Fiorini Paolo 045 802 7963

Fummi Franco 045 802 7994

Geretti Luca +39 045 802 7850

Giachetti Andrea +39 045 8027998

Giacobazzi Roberto +39 045 802 7995

Gobbi Bruno

Gregorio Enrico 045 802 7937

Lora Michele

Maris Bogdan Mihai +39 045 802 7074

Marzola Pasquina 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Mastroeni Isabella +39 045 802 7089

Menegaz Gloria +39 045 802 7024

Mogavero Fabio

Oliboni Barbara +39 045 802 7077

Posenato Roberto +39 045 802 7967

Pravadelli Graziano +39 045 802 7081

Quaglia Davide +39 045 802 7811

Segala Roberto 045 802 7997

Setti Francesco +39 045 802 7804

Spoto Nicola Fausto +39 045 8027940

Tomazzoli Claudio

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.

One course to be chosen among the following
Final exam

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.

SPlacements in companies, public or private institutions and professional associations

Teaching code






Scientific Disciplinary Sector (SSD)


The teaching is organized as follows:





II sem., I sem.

Academic staff

Nicola Bombieri





II sem., I sem.

Academic staff

Maurizio Boscaini

Learning outcomes

This course provides students with the basic ability needed to write programs in an imperative language of procedural nature (e.g., C), with particular emphasis on the relationship between the programming language and the underlying hardware machine, on the concept of recursion, and on the implementation of simple data structures, both recursive and non-recursive.
At the end of the course, the student will have to demonstrate to own knowledge and comprehension ability on the concepts at the basis of programming through an imperative language of procedural nature; organization ability, implementation and translation on that language, and analysis through debugging of algorithms and of the corresponding data structures starting from specifications; to be able to develop know-how necessary to continue the study autonomously in the field of programming and Software development.


• Introduction.
• Fundamental concepts: programming, high-level languages, operating systems, program compiling.
• Compiling and execution of the first program: first program compiling, first program execution, first program description, variable visualization, comments.
• Variables, data types and arithmetic expressions: operating with variables, data types and constants, operating with arithmetic expressions, combining operations with assignment – assignment operators.
• Iteration: for instruction, while instruction, do instruction.
• Taking decisions: if instruction, switch instruction, Boolean variables, conditional statement.
• Statements with arrays: array definition, array initialization, arrays of chars, multidimensional arrays.
• Functions: function definition, arguments and local variables, returning results of a function, functions that call functions that calling functions…, top-down programming, functions and arrays, global variables, automatic and static variables, recursive functions.
• Structures: a structure for data storing, functions and structures, structure initialization, array of structures, structures containing structures, structures containing arrays, variants of structures.
• Strings of chars: arrays of chars, strings of chars of variable length, escape sequences, other information of constant strings, char strings, structures and arrays, operations with chars.
• Pointers: pointer definition, using pointers in expressions, pointers and structures, pointers and functions, pointers and arrays, operations on pointers, pointers and memory addresses.
• The preprocessing: #define directive, #include directive, conditional compiling.
• Input/Output operations: I/O of chars – getchar and putchar, printf and scanf
• Advanced characteristics: comma operator, dynamic memory allocation.

• Introduction, file system, bash, editor.
• Practical programming in lab by applying all the arguments explained in the theory part: examples, exercises.
• Code debugging: gdb, ddd, and CodeBlocks.


Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria Stephen G. Kochan Programmare in C (Edizione 3) Pearson 2011 9788871926605
Laboratorio Stephen G. Kochan Programmare in C (Edizione 3) Pearson 2011 9788871926605

Examination Methods

The exam, unified with the Laboratory module, consists in two parts, that will take place around February (first part) and June (second part). The final global mark will be the composition (average) of the marks of the two parts. Students who do not pass these partial exams can try again in the normal 4 examinations scattered around the year, starting from June. Those exams are on the total program of the course.
The exams (partial as well as total) verify the ability in writing simple programs to the computer, in lab.
To pass the exam, the students have to show:
- they have understood the principles related to the programming in C language
- they are able to develop C code and to analyze its correctness and problems through debugging
- they are able to apply the acquired knowledge to implement algorithms in C code by starting from specifications given as exercises.
The emphasis in the evaluation will be given to the ability to organize algorithms and data structures and to translate them into the C language with no significant syntactical errors.

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.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.


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


As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Career management

Area riservata studenti