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

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
ING-INF/05
12
B
INF/01
12
B
ING-INF/05
6
C
INF/01
6
B
ING-INF/05
6
B
ING-INF/05

2° Year   activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Altre attivita' formative (taf f)
4
F
-
24
E
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
ING-INF/05
12
B
INF/01
12
B
ING-INF/05
6
C
INF/01
6
B
ING-INF/05
6
B
ING-INF/05
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Altre attivita' formative (taf f)
4
F
-
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Due insegnamenti a scelta
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
6
C
INF/01
6
C
FIS/01
Between the years: 1°- 2°
8
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Data-intensive computing systems  (2016/2017)

Teaching code

4S001412

Teacher

Damiano Carra

Coordinator

Damiano Carra

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I sem. dal Oct 3, 2016 al Jan 31, 2017.

Seminars 0

Learning outcomes

This course provides a broad introduction to the fundamentals in large-scale parallel computing systems that deals with very large data sets.
At the end of the course, the student will have to show to know and understand how data-intensive analysis systems work, including the evaluation of the benefits and the limitations of the different solutions.

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.

Reference texts
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.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents