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.
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 |
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2° Year activated in the A.Y. 2017/2018
Modules | Credits | TAF | SSD |
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One course to be chosen among the following
3° Year activated in the A.Y. 2018/2019
Modules | Credits | TAF | SSD |
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One course to be chosen among the following
One course to be chosen among the following
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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One course to be chosen among the following
Modules | Credits | TAF | SSD |
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One course to be chosen among the following
One course to be chosen among the following
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.
Documental Information Technology (i) (2018/2019)
Teaching code
4S02218
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
Sem. 2A, Sem. 2B
Learning outcomes
The aim of the course is to describe the principal notions about data bases, focusing on design methodologies and query languages.
More specifically, the course aims to introduce problems about data conservation and management, as a precious and central resource of any human activity.
Thanks to formal methods and a problem solving perspective, othe student will acquire the basic skills to deal with data management in specific work or research situations, as well as the basics for data design through ad hoc softwares.
Program
Basic Requirements: Basic Information Technology
1. Introduction to Data Bases.
2. Relational models: relations, keys and constraints.
3. Relational Algebra: selection, projection, join and set operators.
4. SQL language: data definition, data manipulation and queries.
5. E-R (Entity-Relationship) model: entities, relations, attributes.
6. Data Base design: conceptual design, logic design; E-R schema reorganization; translation from E-R schemas to relation models.
Course book:
P. Atzeni, S. Ceri, S. Paraboschi e R. Torlone. Basi di Dati: modelli e linguaggi di interrogazione. McGraw-Hill, 2018.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Paolo Atzeni, Stefano Ceri, Piero Fraternali, Stefano Paraboschi, Riccardo Torlone | Basi di dati (Edizione 5) | McGraw Hill | 2018 | 9788838694455 |
Examination Methods
Examination:
Written test. Twenty questions (both multiple choice and open answers).
Purposes:
to verify the student's theoretical knowledge on data base design and principles. In addition, to verify the student's pratical competences in solving exercises on data base design and queries.
It is possible to partecipate in every exam session as well as to refuse a positive evaluation (>18) and to partecipate in the next exam sessions (note: a refused positive evaluation will be considered irremediably lost)
Teaching materials e documents
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Altri esercizi SQL e AR (pdf, it, 86 KB, 2/25/19)
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Esercizi preparazione esame (pdf, it, 205 KB, 5/23/19)
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Riferimenti Libro di Testo (pdf, it, 81 KB, 5/23/19)