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 sem. | Oct 2, 2017 | Jan 31, 2018 |
| II sem. | Mar 1, 2018 | Jun 15, 2018 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esami | Feb 1, 2018 | Feb 28, 2018 |
| Sessione estiva d'esame | Jun 18, 2018 | Jul 31, 2018 |
| Sessione autunnale d'esame | Sep 3, 2018 | Sep 28, 2018 |
| Session | From | To |
|---|---|---|
| Sessione Estiva Lauree Magistrali | Jul 19, 2018 | Jul 19, 2018 |
| Sessione Autunnale Lauree Magistrali | Oct 18, 2018 | Oct 18, 2018 |
| Sessione Invernale Lauree Magistrali | Mar 21, 2019 | Mar 21, 2019 |
| Period | From | To |
|---|---|---|
| Christmas break | Dec 22, 2017 | Jan 7, 2018 |
| Easter break | Mar 30, 2018 | Apr 3, 2018 |
| Patron Saint Day | May 21, 2018 | May 21, 2018 |
| Vacanze estive | Aug 6, 2018 | Aug 19, 2018 |
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 Enrolment FAQs
Academic staff
Bloisi Domenico Daniele
domenico.bloisi@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 enrolment year.
| Modules | Credits | TAF | SSD |
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1° Year
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2° Year
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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.
Biomedicine and bioinformatics databases (2017/2018)
Teaching code
4S004549
Credits
12
Also offered in courses
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
The teaching is organized as follows:
Biomedical and bioinformatic data management
Fundamentals of database systems
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 temporal and spatio-temporal 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
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The main aim of this course is introducing the students to manage biomedical and bioinformatics databases. In particular, object-oriented modeling techniques for clinical databases will be considered, together with the management of semistructured data (e.g., XML). Attention will be paid to information retrieval techniques.
Program
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MM: Fundamentals of database systems
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* 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.
* Temporal and 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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* Electronic Medical Record systems
* Temporal Clinical Databases
* Querying biomedical XML data: XML, DTD, XML Schema, Xpath and Xquery
* Information retrieval techniques (a survey)
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| 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 | 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 |
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
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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
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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.
Teaching materials
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Introduction & relational model
(en, 365 KB, 05/10/17)
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.
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.
