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.

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 in Bioinformatica - 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.

1° Year

ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B1
6
E
-

2° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module to be chosen among the following

3° Year  activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
1 module to be chosen among the following
Other activities
3
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B1
6
E
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module to be chosen among the following
activated in the A.Y. 2020/2021
ModulesCreditsTAFSSD
1 module to be chosen among the following
Other activities
3
F
-
Final exam
3
E
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S003711

Credits

6

Coordinator

Davide Quaglia

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

4

Period

II semestre

Academic staff

Davide Quaglia

Laboratorio

Credits

2

Period

II semestre

Academic staff

Davide Quaglia

Learning outcomes

The course aims at providing the basics for the design, implementation, development, management and maintenance of hardware and software systems in biotechnological laboratories.
After profitably attending the course, the students will be able to develop, manage and maintain IT systems, with particular regard to the installation and administration of resources; to use network analysis software and IT tools to support biology and medicine laboratories.

Program

Theory
------

Communications among systems
- Networks
- Protocols
- Sensor networks
- Internet of Things
- Machine-to-machine communications (M2M)
Methods and devices for data acquisition, storage, and visualization
- Acquisition, calibration and errors
- Storage formats
- Storage devices
- Lab-on-chips
Methods for automatic traceability
- Application scenarios
- Identification methods: bar codes, RFID, Active wireless tags
- EPCGlobal
- Architecture of a system for automatic traceability

Laboratory
----------

- Tools for network analysis
- Network programming in Java
- Machine-to-machine communications through a middleware layer.
- Visualization tools
- Example of biotech process automation (E-Wine and E-Flour projects)
- Example of biotech lab automation
- Machine virtualization and Linux advanced management.

Must-have: Introduction to programming
Prerequisites: Database systems for bioinformatics

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria John L. Hennessy, David A. Patterson Computer Architecture - A Quantitative Approach (Edizione 5) Morgan Kaufmann 2011 012383872X
Teoria C. Hamacher, Z. Vranesic, S. Zaky, N. Manjikian Introduzione all'architettura dei calcolatori (Edizione 1) McGraw-Hill 2012 9788838667510
Teoria Andrew S. Tanenbaum Reti di calcolatori (Edizione 4) Pearson - Prentice Hall 2003 8871921828
Teoria Abraham Silberschatz, Peter Baer Galvin, Greg Gagne Sistemi operativi. Concetti ed esempi. (Edizione 9) Pearson 2014 9788865183717
Laboratorio John L. Hennessy, David A. Patterson Computer Architecture - A Quantitative Approach (Edizione 5) Morgan Kaufmann 2011 012383872X
Laboratorio C. Hamacher, Z. Vranesic, S. Zaky, N. Manjikian Introduzione all'architettura dei calcolatori (Edizione 1) McGraw-Hill 2012 9788838667510
Laboratorio Andrew S. Tanenbaum Reti di calcolatori (Edizione 4) Pearson - Prentice Hall 2003 8871921828
Laboratorio Abraham Silberschatz, Peter Baer Galvin, Greg Gagne Sistemi operativi. Concetti ed esempi. (Edizione 9) Pearson 2014 9788865183717

Examination Methods

The examination aims at verifying the comprehension of course contents. It consists of:

1) written test with 10 questions about the theory and laboratory; questions may also consist in short numerical exercises; a max amount of 3 points are given for each answer;
2) optional project as
- bibliographic research (max 2 points, team of max 2 people)
- experimental activity (max 3 points, team of max 3 people)

Students from Computer Science Degree cannot use this class as "crediti D".

For the project, synergies are possibles with other classes, stage and thesis.

The final result (over 30 points) is computed by summing up the result of both the written test and the project. Attribute "Laude" is given when 32-33 points are achieved.

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