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, 2019 Jan 31, 2020
II semestre Mar 2, 2020 Jun 12, 2020
Exam sessions
Session From To
Sessione invernale d'esame Feb 3, 2020 Feb 28, 2020
Sessione estiva d'esame Jun 15, 2020 Jul 31, 2020
Sessione autunnale d'esame Sep 1, 2020 Sep 30, 2020
Degree sessions
Session From To
Sessione Estiva. Jul 16, 2020 Jul 16, 2020
Sessione Autunnale. Oct 15, 2020 Oct 15, 2020
Sessione Invernale. Mar 18, 2021 Mar 18, 2021
Holidays
Period From To
Festa di Ognissanti Nov 1, 2019 Nov 1, 2019
Festa dell'Immacolata Dec 8, 2019 Dec 8, 2019
Vacanze di Natale Dec 23, 2019 Jan 6, 2020
Vacanze di Pasqua Apr 10, 2020 Apr 14, 2020
Festa della Liberazione Apr 25, 2020 Apr 25, 2020
Festa del lavoro May 1, 2020 May 1, 2020
Festa del Santo Patrono May 21, 2020 May 21, 2020
Festa della Repubblica Jun 2, 2020 Jun 2, 2020
Vacanze estive Aug 10, 2020 Aug 23, 2020

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

Baruffi Maria Caterina

mariacaterina.baruffi@univr.it

Belussi Alberto

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

Bicego Manuele

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

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

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

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

Franco Giuditta

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

Giacobazzi Roberto

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

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.

Modules Credits TAF SSD
Between the years: 1°- 2°
English B2
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

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

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
------------------------
* Electronic Medical Record systems * Temporal Clinical Databases * Querying biomedical XML data: Xpath and Xquery * Information retrieval techniques: basic issues and application to biomedical data
------------------------
MM: Fundamentals of database systems Teoria
------------------------
- The relational data model: relational calculus, functional dependencies, normal forms and decompositions. - Conceptual data modeling in UML (modelling non relational data) - 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

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Fundamentals of database systems Teoria Paolo Atzeni, Stefano Ceri, Piero Fraternali, Stefano Paraboschi, Riccardo Torlone Basi di dati (Edizione 5) McGraw Hill 2018 9788838694455
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. 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 R. Elmasri, S.H. Navathe Sistemi di Basi di Dati: Fondamenti (Edizione 6) Pearson 2011 978-88-7192-628-5
Fundamentals of database systems Teoria P. Rigaux, M. Scholl and A. Voisard Spatial Databases with Application to GIS Morgan Kaufmann  
Fundamentals of database systems Lab. Autori Vari Manuale di Postgresql (https://www.postgresql.org/docs/) Postgresql  

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, a mid-term 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

Type D and Type F activities

1° periodo di lezioni From 9/30/19 To 12/14/19
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Not yet assigned
I semestre From 10/1/19 To 1/31/20
years Modules TAF Teacher
1° 2° Python programming language D Maurizio Boscaini (Coordinatore)
II semestre From 3/2/20 To 6/12/20
years Modules TAF Teacher
1° 2° CyberPhysical Laboratory D Andrea Calanca (Coordinatore)
1° 2° C++ Programming Language D Federico Busato (Coordinatore)
1° 2° Matlab-Simulink programming D Bogdan Mihai Maris (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Corso Europrogettazione D Not yet assigned
1° 2° The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Matteo Cristani

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.

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.


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.

Career management


Area riservata studenti