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. 2026/2027 A.A. 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
IINF-05/A
12
B
IINF-05/A
Four modules among the following
6
B
IINF-05/A
6
B
IINF-05/A
6
B
IINF-05/A
6
B
IINF-05/A
6
B
IINF-05/A
6
B
IINF-05/A

2° Year   It will be activated in the A.Y. 2027/2028

ModulesCreditsTAFSSD
Final exam
24
E
-
It will be activated in the A.Y. 2027/2028
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Two modules among the following
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
6
B
INFO-01/A
Between the years: 1°- 2°
Three modules among the following
- A.A. 2026/2027 Automated software verification not delivered
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
ECON-08/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
6
C
INFO-01/A
Between the years: 1°- 2°
Further language skills (students who didn't take B2 ENG exam during bachelor's degree have to take it during master's degree. Who did take it during bachelor's can take: ENG (C1, C2), SPA (B1, B2, C1, C2), FRA (B1, B2, C1, C2), TED (B1, B2, C1, C2)
3
F
-
Between the years: 1°- 2°
Further activities
3
F
-
Between the years: 1°- 2°
12
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

Big data  (2026/2027)

Teaching code

4S008912

Teacher

Damiano Carra

Coordinator

Damiano Carra

Credits

6

Also offered in courses:

  • Big data of the course Master's degree in Computer Science and Engineering
  • AI & Cloud of the course Master's degree in Artificial intelligence

Language

Italian

Scientific Disciplinary Sector (SSD)

INFO-01/A - Informatics

Period

II semestre dal Mar 1, 2027 al Jun 11, 2027.

Courses Single

Authorized

Lessons timetable Seminars 0

Learning objectives

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 the different approaches. 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.

Prerequisites and basic notions

To take this course, it is highly recommended to have some medium knowledge of Python, as well as elements of Computer Architectures

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.

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures in the classroom

Learning assessment procedures

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.

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

Evaluation criteria

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.

Criteria for the composition of the final grade

The mark is given by the evaluation of both the material provided and the student's autonomy.

Exam language

Italiano o Inglese

Sustainable Development Goals - SDGs

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