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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I semestre | Oct 1, 2013 | Jan 31, 2014 |
| II semestre | Mar 3, 2014 | Jun 13, 2014 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 3, 2014 | Feb 28, 2014 |
| Sessione estiva | Jun 16, 2014 | Jul 31, 2014 |
| Sessione autunnale | Sep 1, 2014 | Sep 30, 2014 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Oct 16, 2013 | Oct 16, 2013 |
| Sessione straordinaria | Dec 10, 2013 | Dec 10, 2013 |
| Sessione invernale | Mar 19, 2014 | Mar 19, 2014 |
| Sessione estiva | Jul 14, 2014 | Jul 14, 2014 |
| Period | From | To |
|---|---|---|
| Vacanze Natalizie | Dec 22, 2013 | Jan 6, 2014 |
| Vacanze di Pasqua | Apr 17, 2014 | Apr 22, 2014 |
| Festa del S. Patrono S. Zeno | May 21, 2014 | May 21, 2014 |
| Vacanze Estive | Aug 11, 2014 | Aug 15, 2014 |
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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
045 802 7823
rosanna.laking@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.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2014/2015
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2015/2016
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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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.
Database systems for bioinformatics (2014/2015)
Teaching code
4S02712
Credits
12
Language
Italian
Also offered in courses:
- Databases - Teoria of the course Bachelor's degree in Computer Science
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Tecnologie per le basi di dati
Learning outcomes
This course provides the student with the required knowledge for the design and implementation of databases and related applications.
In particular, attention will be paid on methodologies for conceptual and logical database design, on the implementation of databases through widely known (relational) database management systems. Both theoretical and "practical" query languages will be introduced, as relational algebra and SQL.
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.
Program
* Introduction of data base management systems. Architecture and functionalities of a database system.
* Data models for database systems. The relational data model.
* Interacting with a database: languages for the definition, manipulation, and query of a database. Relational algebra. The SQL language.
* Database design. The methodology. The Entity-Relationship (ER) data model. Logical database design: the logical schema of a database. Translating conceptual schemata in relational schemata.
* 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. The MVC model. Design of data-centric web-based bioinformatics applications.
Bibliography
| 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 |
Examination Methods
The exam consists of a written examination with exercises on the different topics of the course (theory) lasting about 2 and a half hours. A project on a web system dealing with bioinformatics data is assigned for the lab part of the course.
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
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
