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, 2015 Jan 29, 2016
II semestre Mar 1, 2016 Jun 10, 2016
Exam sessions
Session From To
Sessione straordinaria Appelli d'esame Feb 1, 2016 Feb 29, 2016
Sessione estiva Appelli d'esame Jun 13, 2016 Jul 29, 2016
Sessione autunnale Appelli d'esame Sep 1, 2016 Sep 30, 2016
Degree sessions
Session From To
Sess. autun. App. di Laurea Nov 25, 2015 Nov 25, 2015
Sess. invern. App. di Laurea Mar 16, 2016 Mar 16, 2016
Sess. estiva App. di Laurea Jul 12, 2016 Jul 12, 2016
Sess. autun 2016 App. di Laurea Nov 23, 2016 Nov 23, 2016
Sess. invern. 2017 App. di Laurea Mar 20, 2017 Mar 20, 2017
Holidays
Period From To
Festività dell'Immacolata Concezione Dec 8, 2015 Dec 8, 2015
Vacanze di Natale Dec 23, 2015 Jan 6, 2016
Vancanze di Pasqua Mar 24, 2016 Mar 29, 2016
Anniversario della Liberazione Apr 25, 2016 Apr 25, 2016
Festa del S. Patrono S. Zeno May 21, 2016 May 21, 2016
Festa della Repubblica Jun 2, 2016 Jun 2, 2016
Vacanze estive Aug 8, 2016 Aug 15, 2016

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

B C D F G M O P Q S T U V Z

Bicego Manuele

manuele.bicego@univr.it +39 045 802 7072
Foto,  February 9, 2017

Bloisi Domenico Daniele

domenico.bloisi@univr.it

Boscaini Maurizio

maurizio.boscaini@univr.it

Buffelli Mario Rosario

mario.buffelli@univr.it +39 0458027268

Busato Federico

federico.busato@univr.it

Calanca Andrea

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

Capaldi Stefano

stefano.capaldi@univr.it +39 045 802 7907

Castellini Alberto

alberto.castellini@univr.it +39 045 802 7908

Cicalese Ferdinando

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

Combi Carlo

carlo.combi@univr.it 045 802 7985

Daducci Alessandro

alessandro.daducci@univr.it +39 045 8027025

Delledonne Massimo

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

Dell'Orco Daniele

daniele.dellorco@univr.it +39 045 802 7637

Dominici Paola

paola.dominici@univr.it 045 802 7966; Lab: 045 802 7956-7086

D'Onofrio Mariapina

mariapina.donofrio@univr.it 045 802 7801

Drago Nicola

nicola.drago@univr.it 045 802 7081

Farinelli Alessandro

alessandro.farinelli@univr.it +39 045 802 7842

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Gobbi Bruno

bruno.gobbi@univr.it

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Manca Vincenzo

vincenzo.manca@univr.it 045 802 7981

Maris Bogdan Mihai

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

Menegaz Gloria

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

Migliorini Sara

sara.migliorini@univr.it +39 045 802 7908

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Piccinelli Fabio

fabio.piccinelli@univr.it +39 045 802 7097

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

Valenti Maria Teresa

mariateresa.valenti@univr.it +39 045 812 8450

Villa Tiziano

tiziano.villa@univr.it +39 045 802 7034

Zanatta Marco

marco.zanatta@univr.it +39 045 802 7093

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

4S00012

Credits

6

Coordinatore

Carlo Combi

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

3

Period

II sem.

Academic staff

Carlo Combi

Laboratorio

Credits

3

Period

II sem.

Academic staff

Roberto Posenato

Learning outcomes

------------------------
MM: Teoria
------------------------
After an introduction of the basic concepts of computer networks, the course will deal with methodologies and technologies for the design and implementation of data-centric web sites, with an emphasis on the storage and query of bioinformatics data.
------------------------
MM: Laboratorio
------------------------
The aim of this module is to provide the student with the necessary concepts and methods for working with a database management system and developing web applications exploiting databases. The main technologies considered during the course are based on Python language. Python will be introduced during the course. To attend the course in a productive way, students have to be confident with object-oriented programming.

Program

------------------------
MM: Teoria
------------------------
* The internal architecture of a database management system: the relevance of transactional systems. -- The ACID transaction properties. -- Physical data organisation: sequential data structures and indexes (B-trees and hashing). * Data centric web applications and bioinformatics. -- Basic concepts of computer networks. -- Semistructured data models; XML for bioinformatics. -- Interaction of web servers and data base management systems. -- Design methodologies for data-centric web applications. -- Design of data-centric web-based bioinformatics applications.
------------------------
MM: Laboratorio
------------------------
- Introduction to the relational database management system (RDBMS) PostgreSQL. - Introduction to the use of SQL in PostgreSQL. - Query Optimization. - Introduction to the transaction. - Introduction to Python Language. - Database access from applications written in Java/Python. - Introduction to Flask (Python) micro framework for developing simple database-based web applications. Teaching methods: Lecturing and practicing in a computer laboratory. Didactical material (slides) and further exercise texts are available on the eLearning platform. The teacher is available for individual meeting in office hours.

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
Laboratorio Autori Vari Flask (http://flask.pocoo.org/) Flask 2016
Laboratorio Autori Vari Manuale di Postgresql (https://www.postgresql.org/docs/) Postgresql  

Examination Methods

The exam is composed of two parts: theory and laboratory.

To pass the exam, the student must show that:
- they are able to describe the concepts in a clear and exhaustive way without digressions
- they are able to apply the acquired knowledge to solve application scenarios described by means of exercises, questions and projects.

Module of Theory
----------------------------------------------------------------
For this module the exam consists of a written test with a duration of 1 hour containing: some questions and exercises on the theory topics.

Module of Laboratorio
---------------------------------
The examination consists of a written test containing 5 exercises based on the module program.
A student who obtains less than 13/30 in a written exam, will also have to take an oral examination once it has passed the written exam obtaining 18/30 at least. The final grade will be the average of two grades.

The grade in this module is worth 1/2 of the grade in the course examination.

A selection of previous exam tests is published at http://profs.scienze.univr.it/~posenato/courses/labBD/raccoltaTemiEsameLaboratorioBasiDatiDal2016.pdf

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.

Graduation

List of theses and work experience proposals

Stage Research area
Correlated mutations Various topics

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