Studying at the University of Verona

A.A. 2009/2010

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
1st Semester Oct 1, 2009 Jan 31, 2010
2nd Semester Mar 1, 2010 Jun 15, 2010
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2010 Feb 28, 2010
Sessione estiva Jun 16, 2010 Jul 31, 2010
Sessione autunnale Sep 1, 2010 Sep 30, 2010
Degree sessions
Session From To
Sessione autunnale Sep 29, 2009 Sep 29, 2009
Sessione straordinaria Dec 10, 2009 Dec 10, 2009
Sessione invernale Mar 17, 2010 Mar 17, 2010
Sessione estiva Jul 19, 2010 Jul 19, 2010
Holidays
Period From To
Festa di Ognissanti Nov 1, 2009 Nov 1, 2009
Festa dell'Immacolata Concezione Dec 8, 2009 Dec 8, 2009
Vacanze Natalizie Dec 21, 2009 Jan 6, 2010
Vacanze Pasquali Apr 2, 2010 Apr 6, 2010
Festa della Liberazione Apr 25, 2010 Apr 25, 2010
Festa del Lavoro May 1, 2010 May 1, 2010
Festa del Santo Patrono May 21, 2010 May 21, 2010
Festa della Repubblica Jun 2, 2010 Jun 2, 2010
Vacanze Estive Aug 9, 2010 Aug 15, 2010

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 S T V

Belussi Alberto

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

Bombieri Nicola

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

Bos Leonard Peter

leonardpeter.bos@univr.it +39 045 802 7987

Carra Damiano

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

Fummi Franco

franco.fummi@univr.it 045 802 7994

Giacobazzi Roberto

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

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Mariotto Gino

gino.mariotto@univr.it +39 045 8027031

Masini Andrea

andrea.masini@univr.it 045 802 7922

Mastrogiacomo Elisa

Menegaz Gloria

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

Merro Massimo

massimo.merro@univr.it 045 802 7992

Monti Francesca

francesca.monti@univr.it 045 802 7910

Pravadelli Graziano

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

Segala Roberto

roberto.segala@univr.it 045 802 7997

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

Todorov Velitchko

velitchko.todorov@univr.it

Vigano' Luca

luca.vigano@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.

CURRICULUM TIPO:
TeachingsCreditsTAFSSD
6
A
(MAT/02)
12
A
(ING-INF/05)
6
A
(FIS/01)
12
A
(INF/01)
6
C
(MAT/02)
TeachingsCreditsTAFSSD
12
B
(INF/01)
6
B
(INF/01)
6
B
(ING-INF/05)
12
B
(ING-INF/05)

1° Anno

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

2° Anno

TeachingsCreditsTAFSSD
12
B
(INF/01)
6
B
(INF/01)
6
B
(ING-INF/05)
12
B
(ING-INF/05)

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

4S00037

Credits

12

Coordinatore

Alberto Belussi

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Language of instruction

Italian

The teaching is organized as follows:

Teoria

Credits

9

Period

1st Semester, 2nd Semester

Academic staff

Alberto Belussi

Laboratorio

Credits

3

Period

2nd Semester

Academic staff

Alberto Belussi

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Learning outcomes

Theory I
-------
The first part of the course, called “Databases Theory”, has the aim to provide the student with the necessary concepts and methods for the design of a database and its applications. In particular, it will be focused on the methodologies for the conceptual and logical design of a database and for the successive database implementation on database systems. Moreover, some general techniques for the implementation of database systems will be presented and the fundamental characteristics of the query language SQL and of the relational algebra will be illustrated.


Theory II
-------
The second part of the course, called “Web and multimedia Applications”, has the aim to provide the student with the necessary concepts and methods for the design of data-intensive web applications. In particular, this module will be focused on a methodology for the logical design of a web application that interacts with a database system (DBMS).
Moreover, the approach Model-View-Controller (MVC-2 servlet centric) will be illustrated and applied to some examples. Finally, the main issues concerning the treatment of multimedia datasets in a DBMS will be presented.

LAB
-------
The “Lab” ("Laboratorio" in italian) of the course “Databases and WEB” has the aim to provide the student with the necessary concepts and methods for the implementation of a database and its applications. In particular, this module will be focused on the usage of a specific DBMS for the creation, management and manipulation of a database by means of SQL commands. Moreover, some general techniques for the implementation of web applications will be presented. In particular a MVC-2 architecture based on the Servlet and the Java Server Pages (JSP) technologies will be illustrated and used to show the implementation of some practical examples.

Program

Theory I
-------
* Introduction to database managemente systems (DBMS): architectures and functionalities of a DBMS. Phisical and logical data independence. Data models. Concepts of model, schema and instance of a database. Languages for database systems. DBMS vs. file system.
* Conceptual database design: conceptual data models. The Entity-Relationship model (ER). Elements of the ER model: entities, attributes, relationships, ISA hierarchies and cardinality constraints.
* Logical database design: logical data models, the relational data model. Elements of the relational data models: relations and integrity constraints. Mapping between conceptual schemas in ER model and logical schema in the relational model. Languages for data definition: SQL as DDL. Table creation and integrity constraints definition in SQL.
* Interacting with a database system: languages for the definition, querying and update of a database. The relational algebra. SQL: select-from-where statement, join in SQL, the GROUP BY and ORDER BY clauses, using subqueries. SQL for update: INSERT, DELETE and UPDATE statements. Views.
* The internal architecture of a DBMS. Transactions. Transactions properties. The concurrency control: schedules, view and conflict equivalence, the two-phase locking. Access methods (indexes): primary and secondary indexes, B-+tree, hashing based access methods.

Theory II
-------
The module is organized in 16 hours of lessons and exercises carried out during the second semester. The module will focuses on the logical design of a data-intensive web application and its implementation using: Postgresql, Servlet and Java Server Pages (JSP) technologies. Moreover, the issues concerning the treatment of multimedia datasets in a DBMS will be presented.
In particolar, the following arguments will be illustrated:
* Web Server: basic internet, basic HTML (form), basic HTTP.
* Information systems on the Web: techniques for the interaction between a DBMS and a HTTP server (CGI, Servlet, JSP); JDBC library and Java data beans; the architecture proposed by the MVC-2 approach.
* a methodology for the logical design of a data-intesive web application.
* XML
* features of multimedia data: compression techniques and indexing

LAB
-------
1. Introduction to DBMS PostgreSQL: connection to a database, table creation, insert, update and alter table.
2. PostgreSQL: integrity constraints, reactions to contraints violations.
3. PostgreSQL: simple SQL queries.
4. PostgreSQL: complex SQL queries.
5. HTML: structure of an HTML document, main tags, tables.
6. HTML: form.
7. Servlet Engine on an application server. Examples of simple servlets.
8. Servlet and JDBC. Connection to a DBMS PostgreSQL. Simple servlet of the interaction with a DBMS.
9. Java bean e servlet.
10. Java Server Pages (JSP)
11. JSP and servlet: a software architecture base on the Model View Controller approach.
12. Servlet/JSP and multimedia datasets.

Examination Methods

Module:
-------

Bibliografia

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria P. Atzeni, S. Ceri, P. Fraternali, S. Paraboschi, R. Torlone Basi di dati. Architetture e linee di evoluzione McGraw-Hill 2003 88-386-603
Teoria P. ATZENI, S. CERI, S. PARABOSCHI, R. TORLONE Basi di dati- Modelli e linguaggi di interrogazione (Edizione 3) McGraw-Hill 2009 9788838666001
Teoria E. Baralis, A. Belussi, G. Psaila Basi di dati - Temi d'esame svolti (Edizione 1) Progetto Leonardo Società Editrice Esculapio Bologna 1999 B135655713

Teaching materials

Tipologia di Attività formativa D e F

Academic year

Course not yet included

Career prospects


Avvisi degli insegnamenti e del corso di studio

Per la comunità studentesca

Se sei già iscritta/o a un corso di studio, puoi consultare tutti gli avvisi relativi al tuo corso di studi nella tua area riservata MyUnivr.
In questo portale potrai visualizzare informazioni, risorse e servizi utili che riguardano la tua carriera universitaria (libretto online, gestione della carriera Esse3, corsi e-learning, email istituzionale, modulistica di segreteria, procedure amministrative, ecc.).
Entra in MyUnivr con le tue credenziali GIA.

University Language Centre - CLA

Allegati


Area riservata studenti


Tutorato per gli studenti

I docenti dei singoli Corsi di Studio erogano un servizio di tutorato volto a orientare e assistere gli studenti del triennio, in particolare le matricole, per renderli partecipi dell’intero processo formativo, con l’obiettivo di prevenire la dispersione e il ritardo negli studi, oltre che promuovere una proficua partecipazione attiva alla vita universitaria in tutte le sue forme.

TUTORATO PER GLI STUDENTI DELL’AREA DI SCIENZE E INGEGNERIA
Tutorato finalizzato a offrire loro un’attività di orientamento che possa essere di supporto per gli aspetti organizzativi e amministrativi della vita universitaria.
Le tutor attualemente di riferimento sono:
  • Dott.ssa Luana Uda, luana.uda@univr.it
  • Dott.ssa Roberta RIgaglia, roberta.rigaglia@univr.it

Tirocini e stage

Le attività di stage sono finalizzate a far acquisire allo studente una conoscenza diretta in settori di particolare attività per l’inserimento nel mondo del lavoro e per l’acquisizione di abilità specifiche di interesse professionale.
Le attività di stage sono svolte sotto la diretta responsabilità di un singolo docente presso studi professionali, enti della pubblica amministrazione, aziende accreditate dall’Ateneo veronese.
I crediti maturati in seguito ad attività di stage saranno attribuiti secondo quanto disposto nel dettaglio dal “Regolamento d’Ateneo per il riconoscimento dei crediti maturati negli stage universitari” vigente.

Tutte le informazioni in merito agli stage sono reperibili al link https://www.univr.it/it/i-nostri-servizi/stage-e-tirocini.
 

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

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.