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. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010 A.A. 2005/2006

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
6
A
MAT/02
6
A
MAT/05
6
C
BIO/13
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
6
A
INF/01
12
A
INF/01
6
E
-

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

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
6
C
BIO/18
12
B
ING-INF/05
6
A
MAT/06

3° Year  activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
One course to be chosen among the following
6
C
FIS/07
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
6
C
MAT/08
2 courses to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
D
-
Other activitites
3
F
-
Prova finale
3
E
-
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
6
C
BIO/18
12
B
ING-INF/05
6
A
MAT/06
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
One course to be chosen among the following
6
C
FIS/07
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
6
C
MAT/08
2 courses to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
D
-
Other activitites
3
F
-
Prova finale
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.

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

Networks and Systems in Bioinformatics  (2017/2018)

Teaching code

4S003711

Teacher

Davide Quaglia

Coordinator

Davide Quaglia

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II sem. dal Mar 1, 2018 al Jun 15, 2018.

Lessons timetable MoodleMoodle Seminars 0

Learning outcomes

Knowledge and understanding: Students will acquire the basics for the design, implementation, development, management and maintenance of hardware and software systems in biotechnological laboratories.
 
Ability to apply knowledge and understanding: 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 computer architecture and operating systems, Introduction to programming
Prerequisites: Database systems for bioinformatics

Reference texts
Author Title Publishing house Year ISBN Notes
John L. Hennessy, David A. Patterson Computer Architecture - A Quantitative Approach (Edizione 5) Morgan Kaufmann 2011 012383872X
C. Hamacher, Z. Vranesic, S. Zaky, N. Manjikian Introduzione all'architettura dei calcolatori (Edizione 1) McGraw-Hill 2012 9788838667510
Andrew S. Tanenbaum Reti di calcolatori (Edizione 4) Pearson - Prentice Hall 2003 8871921828
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