Studying at the University of Verona

A.A. 2015/2016

Academic calendar

Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.

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, 2015 Jan 29, 2016
II semestre Mar 1, 2016 Jun 10, 2016
Exam sessions
Session From To
Sessione straordinaria Appelli d'esame Feb 1, 2016 Feb 29, 2016
Sessione estiva Appelli d'esame Jun 13, 2016 Jul 29, 2016
Sessione autunnale Appelli d'esame Sep 1, 2016 Sep 30, 2016
Degree sessions
Session From To
Sess. autun. App. di Laurea Nov 25, 2015 Nov 25, 2015
Sess. invern. App. di Laurea Mar 16, 2016 Mar 16, 2016
Sess. estiva App. di Laurea Jul 12, 2016 Jul 12, 2016
Sess. autun 2016 App. di Laurea Nov 23, 2016 Nov 23, 2016
Sess. invern. 2017 App. di Laurea Mar 20, 2017 Mar 20, 2017
Holidays
Period From To
Festività dell'Immacolata Concezione Dec 8, 2015 Dec 8, 2015
Vacanze di Natale Dec 23, 2015 Jan 6, 2016
Vancanze di Pasqua Mar 24, 2016 Mar 29, 2016
Anniversario della Liberazione Apr 25, 2016 Apr 25, 2016
Festa del S. Patrono S. Zeno May 21, 2016 May 21, 2016
Festa della Repubblica Jun 2, 2016 Jun 2, 2016
Vacanze estive Aug 8, 2016 Aug 15, 2016

Exam calendar

The exam roll calls are centrally administered by the operational unit  Science and Engineering Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment sistema ESSE3. If you forget your password to the online services, please contact the technical office in your Faculty or to the service credential recovery.

Exam calendar

Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment

Academic staff

B C D F G L M O P Q S U

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Bonnici Vincenzo

vincenzo.bonnici@univr.it +39 045 802 7045

Boscaini Maurizio

maurizio.boscaini@univr.it

Carra Damiano

damiano.carra@univr.it +39 045 802 7059

Combi Carlo

carlo.combi@univr.it 045 802 7985

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

Daffara Claudia

claudia.daffara@univr.it +39 045 802 7942

Di Pierro Alessandra

alessandra.dipierro@univr.it +39 045 802 7971

Drago Nicola

nicola.drago@univr.it 045 802 7081

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Fummi Franco

franco.fummi@univr.it 045 802 7994

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Giacobazzi Roberto

roberto.giacobazzi@univr.it +39 045 802 7995

Gobbi Bruno

bruno.gobbi@univr.it

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Lora Michele

michele.lora@univr.it

Marzola Pasquina

pasquina.marzola@univr.it 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Mastroeni Isabella

isabella.mastroeni@univr.it +39 045 802 7089

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Pravadelli Graziano

graziano.pravadelli@univr.it +39 045 802 7081

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Segala Roberto

roberto.segala@univr.it 045 802 7997

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

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.

TeachingsCreditsTAFSSD
6
A
(MAT/02)
12
A
(ING-INF/05)
6
A
(FIS/01)
6
A
(INF/01)
12
A
(INF/01)
TeachingsCreditsTAFSSD
12
B
(INF/01)
6
C
(FIS/01)
One course to be chosen among the following
6
B
(ING-INF/05)
12
B
(ING-INF/05)
TeachingsCreditsTAFSSD
12
B
(ING-INF/05)
One course to be chosen among the following
6
B
(INF/01)
6
B
(INF/01)
Prova finale
6
E
(-)

1° Anno

TeachingsCreditsTAFSSD
6
A
(MAT/02)
12
A
(ING-INF/05)
6
A
(FIS/01)
6
A
(INF/01)
12
A
(INF/01)

2° Anno

TeachingsCreditsTAFSSD
12
B
(INF/01)
6
C
(FIS/01)
One course to be chosen among the following
6
B
(ING-INF/05)
12
B
(ING-INF/05)

3° Anno

TeachingsCreditsTAFSSD
12
B
(ING-INF/05)
One course to be chosen among the following
6
B
(INF/01)
6
B
(INF/01)
Prova finale
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S02723

Credits

12

Coordinatore

Nicola Bombieri

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Language of instruction

Italian

The teaching is organized as follows:

Teoria

Credits

8

Period

II semestre, I semestre

Academic staff

Nicola Bombieri

Laboratorio [II turno M-Z]

Credits

4

Period

II semestre, I semestre

Academic staff

Maurizio Boscaini

Laboratorio [I turno A-L]

Credits

4

Period

II semestre, I semestre

Academic staff

Vincenzo Bonnici

???OrarioLezioni???

Learning outcomes

This course provides students with the basic abilities needed to write simple programs in the C programming language. They will learn how to organize a program in that imperative structured language and how to use it to implement simple algorithms. The relationship between the programming language and the underlying machine is highlighted. The concept of recursion is put in evidence, as well as the implementation of simple data structures, both recursive and non-recursive.

Program

Von Neumann machines. Binary representation of numbers, characters, strings and commands. Binary, octal, hexadecimal numbers. Structure of a C program. Use of a C compiler. Expressions and commands. Structured programming. Assignments, conditionals and loops. Arrays. Pointers. Function calls. Activation stack. Call by value and call by reference. Structures. The C standard library. Recursion. Recursive data structures. Lists.

Examination Methods

The exam, unified with the Laboratory module, consists in two parts, that will take place around February and June. The final global note is the composition (average) of the notes 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. Exams (partial as well as total) verify the ability in writing simple program (on paper and without the use of a computer) and on theoretical questions. The important point is the ability to organize algorithms and data structures and translate them into the C language with no significant syntactical errors.

Bibliografia

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

Tipologia di Attività formativa D e F

Course not yet included

Career prospects


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Per la comunità studentesca

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Area riservata studenti


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

University Language Centre - CLA


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.