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'esame | 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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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year
| 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.
Data-intensive computing systems (2017/2018)
Teaching code
4S001412
Teacher
Coordinatore
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
I sem. dal Oct 2, 2017 al Jan 31, 2018.
Learning outcomes
The course aims to provide the fundamental concepts of distributed computing systems that deal with very large data sets, together with the programming paradigms adopted by these systems.
At the end of the course the student must demonstrate that he has acquired the necessary knowledge to evaluate the possible alternatives in the design of the analysis of large amounts of data, considering the benefits and limitations of possible alternatives.
This knowledge will allow the student to: i) configure parallel data processing systems; ii) design solutions to analyze large amounts of data; iii) evaluate the solutions for data analysis with parallel systems, considering the system resources necessary for the analysis; iv) continue the studies autonomously in the development of advanced analysis of large amounts of data.
Program
* Programming frameworks:
-- Distributed filesystems (HDFS);
-- Data and graph processing (MapReduce, Pregel);
-- SQL-like systems (Pig, Hive);
-- NoSQL systems (HBase, Cassandra).
* Algorithms:
-- Design of algorithms for text processing;
-- Indexing algorithms (inverted indexing);
-- Graph analysis (PageRank).
* Datacenter architectures:
-- Datacenter organization;
-- Datacenter networking;
-- Failure management.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Jimmy Lin, Chris Dyer | Data-Intensive Text Processing with MapReduce (Edizione 1) | Morgan & Claypool Publishers | 2010 | 978-1608453429 | |
| Tom White | Hadoop: The Definitive Guide (Edizione 3) | Oreilly & Associates Inc | 2012 | 978-1449311520 |
Examination Methods
Examination consists of a project and the corresponding documentation. The project aims at verifying the comprehension of course contents and the capability to apply these contents in the resolution of a problem. The project topic is agreed with the teacher and focus on specific case studies. The project includes the performance evaluation for different input sizes, and the evaluation of the implementation alternatives. After the evaluation of the project documentation, the student may give an oral exam where the details of the project are discussed.
Teaching materials
-
00 - Calendario
(html, it, 19 KB, 20/10/17)
-
Lab1 - instructions - full&ex1
(x-gzip, it, 424 KB, 20/10/17)
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
List of theses and work experience proposals
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.
