Studying at the University of Verona

A.A. 2014/2015

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 sem. Oct 1, 2014 Jan 30, 2015
II sem. Mar 2, 2015 Jun 12, 2015
Exam sessions
Session From To
Sessione straordinaria appelli d'esame Feb 2, 2015 Feb 27, 2015
Sessione estiva appelli d'esame Jun 15, 2015 Jul 31, 2015
Sessione autunnale appelli d'esame Sep 1, 2015 Sep 30, 2015
Degree sessions
Session From To
Sessione autunnale appello di laurea 2014 Nov 26, 2014 Nov 26, 2014
Sessione invernale appello di laurea 2015 Mar 18, 2015 Mar 18, 2015
Sessione estiva appello di laurea 2015 Jul 14, 2015 Jul 14, 2015
Sessione autunnale appello di laurea 2015 Nov 25, 2015 Nov 25, 2015
Sessione invernale appello di laurea 2016 Mar 16, 2016 Mar 16, 2016
Holidays
Period From To
Vacanze di Natale Dec 22, 2014 Jan 6, 2015
Vacanze di Pasqua Apr 2, 2015 Apr 7, 2015
Ricorrenza del Santo Patrono May 21, 2015 May 21, 2015
Vacanze estive Aug 10, 2015 Aug 16, 2015

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 F G M P Q S T 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

Capiluppi Marta

marta.capiluppi@univr.it +39 045 802 7049

Carra Damiano

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

Combi Carlo

carlo.combi@univr.it 045 802 7985

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

Gobbi Bruno

bruno.gobbi@univr.it

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937
Valerio Guarnieri,  December 22, 2010

Guarnieri Valerio

valerio.guarnieri@univr.it +39 045 802 7085

Marzola Pasquina

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

Masini Andrea

andrea.masini@univr.it 045 802 7922

Mastroeni Isabella

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

Menegaz Gloria

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

Migliorini Sara

sara.migliorini@univr.it +39 045 802 7908

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

Tomazzoli Claudio

claudio.tomazzoli@univr.it

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
12
B
(INF/01)
6
C
(FIS/01)
6
B
(INF/01)
6
B
(ING-INF/05)
12
B
(ING-INF/05)
Un insegnamento a scelta tra i seguenti
TeachingsCreditsTAFSSD
12
B
(ING-INF/05)
Un insegnamento a scelta tra i seguenti
Prova finale
6
E
(-)

1° Anno

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

2° Anno

TeachingsCreditsTAFSSD
12
B
(INF/01)
6
C
(FIS/01)
6
B
(INF/01)
6
B
(ING-INF/05)
12
B
(ING-INF/05)
Un insegnamento a scelta tra i seguenti

3° Anno

TeachingsCreditsTAFSSD
12
B
(ING-INF/05)
Un insegnamento a scelta tra i seguenti
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 sem., I sem.

Academic staff

Nicola Bombieri

Laboratorio [Laboratorio II turno M-Z]

Credits

4

Period

II sem., I sem.

Academic staff

Vincenzo Bonnici

Laboratorio [Laboratorio I turno A-I]

Credits

4

Period

II sem., I sem.

Academic staff

Vincenzo Bonnici, Maurizio Boscaini

???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 C 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 note of each part is between 0 and 30. The final global note is the composition 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 programs, on paper and without the use of a computer. 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.