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. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

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

ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
9
B
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B
INF/01 ,ING-INF/06
6
B
ING-INF/05
Compulsory activities for Robotics Systems
6
B
INF/01
6
B
ING-INF/05
Compulsory activities for Embedded & Iot Systems
6
B/C
ING-INF/05
6
B/C
ING-INF/05

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
9
B
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B
INF/01 ,ING-INF/06
6
B
ING-INF/05
Compulsory activities for Robotics Systems
6
B
INF/01
6
B
ING-INF/05
Compulsory activities for Embedded & Iot Systems
6
B/C
ING-INF/05
6
B/C
ING-INF/05
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
3
F
-
Between the years: 1°- 2°
3 modules among the following (Computer vision and Human computer interaction 1st year only; Advanced computer architectures 2nd year only; the other courses both 1st and 2nd year. A.A. 2024/2025: Data visualization, Systems design laboratory and Electronic devices and sensors are not activated)
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
ING-INF/01
6
C
INF/01 ,ING-INF/06
6
C
INF/01
6
C
ING-IND/16
6
C
INF/01
6
C
INF/01 ,ING-INF/06
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Further activities. International students (ie students who do not have an Italian bachelor’s degree) must compulsorily gain 3 credits of Italian language skills
3
F
-

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

Advanced database & information systems  (2023/2024)

Teaching code

4S009020

Teacher

Alberto Belussi

Coordinator

Alberto Belussi

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Semester 2 dal Mar 4, 2024 al Jun 14, 2024.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

The aim of the course is to allow students to acquire in-depth knowledge of the methodologies and tools necessary to manage large amounts of data in new database systems not based on the relational model (we will therefore consider systems based on semi-structured, object-oriented models, NoSQL and models with extensions for including time and space dimension). In particular, the systems that allow to store data produced by sensors and mobile devices will be analyzed so that a correct integration of these new data sources with the business information system is possible. At the end of the course, the student will be able to design and query non-traditional databases with tools of the NoSQL approach.

Prerequisites and basic notions

Basic knowledge of linear algebra, logic and programming. Knowledge of the relational model, SQL-2 query language.

Program

The course aims to provide the theoretical basis for the management of heterogeneous and distributed data:
• Fundamentals: data modeling, query languages, access structures (index)
• Distributed systems: distributed and parallel architectures for data management, transactions in distributed systems.
• New technologies for data management. NoSQL systems: semi-structured and document-based model, data design with complex structure, UML for the design of complex data, time and space dimension in complex data.

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

Teaching methods: lectures, classroom exercises with the teacher, teaching material (slides) and further exercises available on the eLearning platform, reception at the times indicated on the teacher's web page.

Learning assessment procedures

Written exam on the entire program and optional project on a specific NoSQL technology. The written test and the presentation of the project can take place on different days and also in different sessions and without any preferential order.

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

To pass the exam, students will have to demonstrate that: - they have understood the concepts underlying the theory of relational databases and NoSQL of their design and implementation on real systems - be able to present their arguments in a precise and organic without digressions - knowing how to apply the knowledge acquired to solve application problems presented in the form of exercises, questions and projects.

Criteria for the composition of the final grade

The final grade is obtained from the arithmetic average between the project grade and the written grade. If the student does not present any project the grade of the written test can be registered as final grade.

Exam language

inglese, english