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 semestre Oct 1, 2018 Jan 31, 2019
II semestre Mar 4, 2019 Jun 14, 2019
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2019 Feb 28, 2019
Sessione estiva d'esame Jun 17, 2019 Jul 31, 2019
Sessione autunnale d'esame Sep 2, 2019 Sep 30, 2019
Degree sessions
Session From To
Sessione Estiva Jul 17, 2019 Jul 17, 2019
Sessione Autunnale Nov 20, 2019 Nov 20, 2019
Sessione Invernale Mar 17, 2020 Mar 17, 2020
Holidays
Period From To
Sospensione dell'attività didattica Nov 2, 2018 Nov 3, 2018
Vacanze di Natale Dec 24, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 28, 2019
Festa del Santo Patrono May 21, 2019 May 21, 2019
Vacanze estive Aug 5, 2019 Aug 18, 2019

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 Enrollment FAQs

Academic staff

B C D F G M O P Q S T U Z

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Bonacina Maria Paola

symbol email mariapaola.bonacina@univr.it symbol phone-number +39 045 802 7046

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Busato Federico

symbol email federico.busato@univr.it

Calanca Andrea

symbol email andrea.calanca@univr.it symbol phone-number +39 045 802 7847

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059

Castellini Alberto

symbol email alberto.castellini@univr.it symbol phone-number +39 045 802 7908

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +39 045 802 7985

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number +39 045 802 7983

Cristani Marco

symbol email marco.cristani@univr.it symbol phone-number +39 045 802 7841

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Dall'Alba Diego

symbol email diego.dallalba@univr.it symbol phone-number +39 045 802 7074

Danese Alessandro

symbol email alessandro.danese@univr.it symbol phone-number 045 802 7048

Di Pierro Alessandra

symbol email alessandra.dipierro@univr.it symbol phone-number +39 045 802 7971

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Geretti Luca

symbol email luca.geretti@univr.it symbol phone-number +39 045 802 7850

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number +39 045 802 7937

Maris Bogdan Mihai

symbol email bogdan.maris@univr.it symbol phone-number +39 045 802 7074

Marzola Pasquina

symbol email pasquina.marzola@univr.it symbol phone-number 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +39 045 802 7089

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Quintarelli Elisa

symbol email elisa.quintarelli@univr.it symbol phone-number +39 045 802 7852

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number +39 045 802 7997

Setti Francesco

symbol email francesco.setti@univr.it symbol phone-number +39 045 802 7804

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 802 7940

Storti Silvia Francesca

symbol email silviafrancesca.storti@univr.it symbol phone-number +39 045 802 7850

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it
UgoliniSimone

Ugolini Simone

symbol email simone.ugolini@univr.it
Zoppello,  May 3, 2019

Zoppello Marta

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.

2° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05

3° Year  activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
12
B
ING-INF/05
1 module to be chosen among the following
6
B
INF/01
Training
6
F
-
Final exam
6
E
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2020/2021
ModulesCreditsTAFSSD
12
B
ING-INF/05
1 module to be chosen among the following
6
B
INF/01
Training
6
F
-
Final exam
6
E
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02723

Credits

12

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

8

Period

I semestre, II semestre

Academic staff

Elisa Quintarelli

Laboratorio

Credits

4

Period

I semestre, II semestre

Academic staff

Elisa Quintarelli

Learning outcomes

This course provides students with the basic ability needed to write programs in an imperative lan- guage of procedural nature (e.g., C), with particular emphasis on the relationship between the pro- gramming 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 de bugging 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.

Program

Theory:
------------
• 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.

Laboratory:
-----------------
• 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.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria 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 coding simple programs to the computer or a written exam.
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.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

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 also via the Univr app.

Graduation

For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

List of thesis 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 dell'analisi dei dati Various topics

Attendance modes and venues

As stated in the Teaching Regulations, attendance at the course of study is not mandatory.

Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.

The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus. 
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.

 


Career management


Student login and resources


Tutoring faculty members


Erasmus+ and other experiences abroad