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. 2018/2019

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, 2018 Jan 31, 2019
II semestre Mar 4, 2019 Jun 14, 2019
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2019 Feb 28, 2019
Sessione estiva d'esame Jun 17, 2019 Jul 31, 2019
Sessione autunnale d'esame Sep 2, 2019 Sep 30, 2019
Degree sessions
Session From To
Sessione Estiva Jul 18, 2019 Jul 18, 2019
Sessione Autunnale Oct 17, 2019 Oct 17, 2019
Sessione Invernale Mar 18, 2020 Mar 18, 2020
Holidays
Period From To
Festa di Ognissanti Nov 1, 2018 Nov 1, 2018
Sospensione dell'attività didattica Nov 2, 2018 Nov 3, 2018
Festa dell’Immacolata Dec 8, 2018 Dec 8, 2018
Vacanze di Natale Dec 24, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 28, 2019
Festa della liberazione Apr 25, 2019 Apr 25, 2019
Festa del lavoro May 1, 2019 May 1, 2019
Festa del Santo Patrono May 21, 2019 May 21, 2019
Festa della Repubblica Jun 2, 2019 Jun 2, 2019
Vacanze estive Aug 5, 2019 Aug 18, 2019

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 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

Boscaini Maurizio

maurizio.boscaini@univr.it

Busato Federico

federico.busato@univr.it

Calanca Andrea

andrea.calanca@univr.it +39 045 802 7847

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

Daducci Alessandro

alessandro.daducci@univr.it +39 045 8027025

Dall'Alba Diego

diego.dallalba@univr.it +39 045 802 7074

Delledonne Massimo

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

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

Marcon Alessandro

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

Maris Bogdan Mihai

bogdan.maris@univr.it +39 045 802 7074

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.

ModulesCreditsTAFSSD
Final exam
24
E
-

2° Year

ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
English B2 level
4
F
-
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activities
2
F
-

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:

Biomedical and bioinformatic data management

Credits

6

Period

II semestre

Academic staff

Carlo Combi

Fundamentals of database systems Teoria

Credits

5

Period

I semestre

Academic staff

Alberto Belussi

Fundamentals of database systems Lab.

Credits

1

Period

I semestre

Academic staff

Alberto Belussi

Learning outcomes

Knowledge and understanding:
The goal of this course is to provide the student with the knowledge and understanding of the theoretical, methodological and technological main concepts related to database systems and their use for the management of biomedical and bioinformatics data and information.

Applying knowledge and understanding:
The student will be able to a) define through a formal model the structure and the features of complex data collections; b) specify queries on complex data through different query languages; c) understand the advanced requirements for the management of biomedical information.

Making judgements:
The student will acquire the capability of autonomously evaluate different design options for complex systems, and of autonomously propose effective solutions in the application domain related to biomedicine and bioinformatics.

Communication:
The student will be also able to interact with different stakeholders in multidisciplinary teams, having different skills and backgrounds in biomedicine and bioinformatics.

Lifelong learning skills:
The student will acquire the capability of learning new methodologies and technologies related to data management and applying them in the biomedical/bioinformatics domain.

Program

------------------------
MM: Biomedical and bioinformatic data management
------------------------
* Temporal databases: advanced topics * Temporal Clinical Databases * Querying biomedical XML data: Xpath and Xquery * Electronic Medical Record systems * Information retrieval techniques (a survey)
------------------------
MM: Fundamentals of database systems Teoria
------------------------
- 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, mapping towards SLQ 3. - Spatio-Temporal databases: basic concepts, data models, query languages (TSQL2, Simple Feature Specification for SQL OGC). - Big data systems: Hadoop
------------------------
MM: Fundamentals of database systems Lab.
------------------------
- training on SQL 3 with postgreSQL - training on spatio-temporal queries with PostGIS

Examination Methods

------------------------
MM: Biomedical and bioinformatic 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.
------------------------
MM: Fundamentals of database systems Teoria
------------------------
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.
------------------------
MM: Fundamentals of database systems Lab.
------------------------
See the description of the theory module

Bibliografia

Reference texts
Activity Author Title Publishing house Year ISBN Notes
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 Don Box, Aaron Skonnard, John Lam Essential XML: Oltre il Markup Addison Wesley 2001 8871921186
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
Fundamentals of database systems Teoria R. Elmasri, S. B. Navathe Fundamentals of Database Systems (Edizione 1) Addison-Wesley 1994 0805317481
Fundamentals of database systems Teoria M. N. DeMers Fundamentals of Geographic Information Systems (Edizione 1) Jhon Wiley & sons, Inc. 1997 0471142840
Fundamentals of database systems Teoria M. F. Worboys GIS: A Computing Perspective (Edizione 1) Taylor & Francis 1995 0748400656
Fundamentals of database systems Teoria J. D. Ullman Principles of Database and Knowledge-base Systems Computer Science Press  
Fundamentals of database systems Teoria P. Rigaux, M. Scholl and A. Voisard Spatial Databases with Application to GIS Morgan Kaufmann  
Fundamentals of database systems Teoria C. Combi, E. Keravnou-Papailiou, Y. Shahar Temporal Information Systems in Medicine (Edizione 1) Springer 2010 978-1-4419-6542-4
Fundamentals of database systems Teoria R. G. G. Cattell The Object Data Standard: ODMG 3.0 Morgan Kaufmann 2000 1-55860-64

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.