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.

A.A. 2016/2017

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 sem. Oct 3, 2016 Jan 31, 2017
II sem. Mar 1, 2017 Jun 9, 2017
Exam sessions
Session From To
Sessione invernale Appelli d'esame Feb 1, 2017 Feb 28, 2017
Sessione estiva Appelli d'esame Jun 12, 2017 Jul 31, 2017
Sessione autunnale Appelli d'esame Sep 1, 2017 Sep 29, 2017
Degree sessions
Session From To
Sessione estiva Appelli di Laurea Jul 19, 2017 Jul 19, 2017
Sessione autunnale Appelli di laurea Oct 18, 2017 Oct 18, 2017
Sessione invernale Appelli di laurea Mar 21, 2018 Mar 21, 2018
Holidays
Period From To
Festa di Ognissanti Nov 1, 2016 Nov 1, 2016
Festa dell'Immacolata Concezione Dec 8, 2016 Dec 8, 2016
Vacanze di Natale Dec 23, 2016 Jan 8, 2017
Vacanze di Pasqua Apr 14, 2017 Apr 18, 2017
Anniversario della Liberazione Apr 25, 2017 Apr 25, 2017
Festa del Lavoro May 1, 2017 May 1, 2017
Festa della Repubblica Jun 2, 2017 Jun 2, 2017
Vacanze estive Aug 8, 2017 Aug 20, 2017

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 Enrolment FAQs

Academic staff

A B C D F G L M P S

Accordini Simone

simone.accordini@univr.it +39 045 8027657

Belussi Alberto

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

Bicego Manuele

manuele.bicego@univr.it +39 045 802 7072

Bombieri Cristina

cristina.bombieri@univr.it 045-8027209

Bombieri Nicola

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

Cicalese Ferdinando

ferdinando.cicalese@univr.it +39 045 802 7969

Combi Carlo

carlo.combi@univr.it 045 802 7985

Constantin Gabriela

gabriela.constantin@univr.it 045-8027102

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

Daducci Alessandro

alessandro.daducci@univr.it +39 045 8027025

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Franco Giuditta

giuditta.franco@univr.it +39 045 802 7045

Giugno Rosalba

rosalba.giugno@univr.it 0458027066

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Liptak Zsuzsanna

zsuzsanna.liptak@univr.it +39 045 802 7032

Malerba Giovanni

giovanni.malerba@univr.it 045/8027685

Manca Vincenzo

vincenzo.manca@univr.it 045 802 7981

Marcon Alessandro

alessandro.marcon@univr.it +39 045 802 7668

Menegaz Gloria

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

Perduca Massimiliano

massimiliano.perduca@univr.it +39 045 802 7984

Sala Pietro

pietro.sala@univr.it 0458027850

Salvagno Gian Luca

gianluca.salvagno@univr.it 045 8124308-0456449264

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.

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

4S004549

Credits

12

Coordinatore

Carlo Combi

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Language

English

The teaching is organized as follows:

Fundamentals of database systems

Credits

6

Period

I sem.

Academic staff

Alberto Belussi

Biomedical and bioinformatic data management

Credits

6

Period

II sem.

Academic staff

Carlo Combi

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Learning outcomes

This course provides students with the knowledge about the basic concepts of database systems and their application in the modeling and management of biomedical data and information. Students will be able to understand the needs related to the management of biomedical information and will be able to autonomously propose suitable solutions for these complex biomedical domains. Students will be able to interact with different stakeholders, within a multidisciplinary community. He will also be able to acquire and use knowledge about all the future advances both in methodologies and technologies for the management of data and their application in the biomedical domain.
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MM: Fundamentals of database systems
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This module of the course provides the student with the main theoretical concepts of the relational data model, of object and object-relational data models, and of the semistructured and XML data models. Related query languages will be introduced and some related technical issues will be discussed.
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MM: Biomedical and bioinformatic data management
------------------------
The main aim of this course is introducing the students to manage biomedical and bioinformatics databases. In particular, object-oriented modeling techniques will be considered, together with the management of semistructured data. Attention will be paid to information retrieval techniques.

Program

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MM: Fundamentals of database systems
------------------------
* The relational data model: relational calculus, functional dependencies, normal forms and decompositions.
* Conceptual data modeling in UML
* Object and object-relational databases: data model and query language of SQL 3, UML for modeling object oriented databases.
* Semistructured databases: basic concepts, XML, XML Schema, UML for modeling semistructured datasets.
* Spatio-Temporal databases: basic concepts, data models, query languages (TSQL2, Simple Feature Specification for SQL OGC).
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MM: Biomedical and bioinformatics data management
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* Temporal databases: advanced topics
* Temporal Clinical Databases
* Querying biomedical XML data: Xpath and Xquery
* Electronic Medical Record systems
* Information retrieval techniques (a survey)

Examination Methods

The final score of the exam is the average of the scores obtained in the exams related to the modules.
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MM: Fundamentals of database systems
------------------------
The exam for this module consists of a written test of about 2.5 hours containing: (i) some exercises requiring the specification of queries and database design using one of the database models included in the program and (ii) open questions about the theory. During the semester, in a date to be decided with the students, an intermediate test will be proposed on the part of the program regarding: the relational calculus, the functional dependencies and the normalization.
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MM: Biomedical and bioinformatics data management
------------------------
The exam consists of an oral examinations with exercises and questions related to the different parts of the module, with the goal of verifying whether the student is aware of the theoretical content of the module and is able to apply it in real-world contexts.

Bibliografia

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Fundamentals of database systems R. Elmasri, S. B. Navathe Fundamentals of Database Systems (Edizione 1) Addison-Wesley 1994 0805317481
Fundamentals of database systems J. D. Ullman Principles of Database and Knowledge-base Systems Computer Science Press  
Biomedical and bioinformatic data management S. Abiteboul, P. Buneman, D. Suciu Data on the Web: from relations to semistructured data and XML (Edizione 1) Morgan Kaufmann 1999 155860622X
Biomedical and bioinformatic data management C. Combi, E. Keravnou-Papailiou, Y. Shahar Temporal Information Systems in Medicine (Edizione 1) Springer 2010 978-1-4419-6542-4

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.

Gestione carriere


Graduation


Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

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.