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, 2012 Jan 31, 2013
II semestre Mar 4, 2013 Jun 14, 2013
Exam sessions
Session From To
Sessione straordinaria Feb 4, 2013 Feb 28, 2013
Sessione estiva Jun 17, 2013 Jul 31, 2013
Sessione autunnale Sep 2, 2013 Sep 30, 2013
Degree sessions
Session From To
Sessione autunnale Oct 17, 2012 Oct 17, 2012
Sessione straordinaria Dec 11, 2012 Dec 11, 2012
Sesisone invernale Mar 20, 2013 Mar 20, 2013
Sessione estiva Jul 15, 2013 Jul 15, 2013
Holidays
Period From To
Festa di Ognissanti Nov 1, 2012 Nov 1, 2012
Festa dell'Immacolata Concezione Dec 8, 2012 Dec 8, 2012
Vacanze di Natale Dec 21, 2012 Jan 6, 2013
Vacanze di Pasqua Mar 29, 2013 Apr 2, 2013
Festa della Liberazione Apr 25, 2013 Apr 25, 2013
Festa del Lavoro May 1, 2013 May 1, 2013
Festa del Santo Patrono di Verona - San Zeno May 21, 2013 May 21, 2013
Festa della Repubblica Jun 2, 2013 Jun 2, 2013
Vacanze estive Aug 9, 2013 Aug 16, 2013

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 F G M O P Q R S T U

Belussi Alberto

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

Bertelle Roberto

Bombieri Nicola

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

Bonnici Vincenzo

symbol email vincenzo.bonnici@univr.it symbol phone-number +39 045 802 7045

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Capiluppi Marta

symbol email marta.capiluppi@univr.it symbol phone-number +39 045 802 7049

Carra Damiano

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

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Fummi Franco

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

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Gobbi Bruno

symbol email bruno.gobbi@univr.it

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937
Valerio Guarnieri,  December 22, 2010

Guarnieri Valerio

symbol email valerio.guarnieri@univr.it symbol phone-number +39 045 802 7085

Marzola Pasquina

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

Masini Andrea

symbol email andrea.masini@univr.it symbol phone-number 045 802 7922

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +390458027089

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908

Oliva Immacolata

symbol email immacolata.oliva@univr.it symbol phone-number +39 0458028768

Pravadelli Graziano

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

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811
Foto,  January 27, 2015

Residori Stefania

symbol email stefania.residori@univr.it

Segala Roberto

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

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 8027940

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it
UgoliniSimone

Ugolini Simone

symbol email simone.ugolini@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 enrollment year.

2° Year  activated in the A.Y. 2013/2014

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti:

3° Year  activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
6
E
-
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti:
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
12
B
INF/01
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.




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

Teaching code

4S00037

Credits

12

Coordinator

Alberto Belussi

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria
The activity is given by Database systems for bioinformatics - Teoria of the course: Bachelor's degree in Bioinformatics

Credits

6

Period

I sem.

Academic staff

Carlo Combi

Laboratorio

Credits

3

Period

II sem.

Academic staff

Sara Migliorini

Tecnologie per le basi di dati

Credits

3

Period

II sem.

Academic staff

Alberto Belussi

Learning outcomes

Module: Database theory
-----------------------------
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.

Module: Database technology
----------------------------------
The second part of the course 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 this course 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 several technologies will be illustrated and used to show the implementation of some practical examples.

Program

Module: Database theory
------------------------------
* 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.

Module: Database technology
----------------------------------
* 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.
* 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. Web application development in Java context and in other platforms
10. The Model View Controller approach for Web applications
12. multimedia datasets in web applications, css and javascript.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria P. Atzeni, S. Ceri, P. Fraternali, S. Paraboschi, R. Torlone Basi di dati (Edizione 4) McGraw-Hill 2014 978-88-386-6587-5
Teoria R. Elmasri, S.H. Navathe Sistemi di Basi di Dati: Fondamenti (Edizione 6) Pearson 2011 978-88-7192-628-5
Laboratorio D. Geary, C. Horstmann Core JavaServer Faces (Edizione 3) Prentice Hall 2010 978-0-13-701289-3

Examination Methods

Written test for every module. The final grade is obtained by computing the weighted average of the grade obtained in the Theory modules (3/4) and the grade obtained in the Lab module (1/4).

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 soon 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 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 dell'analisi dei dati Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
 


Career management


Student login and resources


Erasmus+ and other experiences abroad