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

2° Year  activated in the A.Y. 2015/2016

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

3° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
Un insegnamento a scelta
6
C
BIO/04
6
C
BIO/11
6
C
FIS/07
6
C
MAT/05
6
C
BIO/09
6
C
ING-IND/25
6
C
BIO/19
6
C
BIO/10
6
C
BIO/11
6
C
MAT/08
6
C
CHIM/02
12
C
BIO/10 ,BIO/11
12
B
INF/01
Due insegnamenti a scelta
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
ING-INF/05
6
B
INF/01
12
D
-
Altre attivita' formative
3
F
-
Prova finale
3
E
-
activated in the A.Y. 2015/2016
ModulesCreditsTAFSSD
12
B
INF/01
12
C
BIO/10
12
B
ING-INF/05
6
C
BIO/18
6
A
MAT/06
12
B
INF/01

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

System Architecture for Biotechnology  (2016/2017)

Teaching code

4S01910

Academic staff

Davide Quaglia, Riccardo Muradore

Coordinator

Davide Quaglia

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

II sem. dal Mar 1, 2017 al Jun 9, 2017.

MoodleMoodle Seminars 0

Learning outcomes

This class aims at providing the fundamental knowledge for the design, implementation, development, management, and maintenance of hardware and software systems in biotechnological labs, both for research and production, as well as clinical labs. Starting from actual case studies, the main related topics are highlighted; then, each of them is addressed in detail from both theoretical and practical perspectives. Finally, presentations with external speakers allow to meet companies and institutions which use this knowledge.

Program

Theory
------

Communications among systems
- Networks
- Protocols
- Sensor networks
- Machine-to-machine communications (M2M)
Methods and devices for data acquisition, storage, and visualization
- Acquisition, calibration and errors
- Lab-on-chips
- Storage formats
- Storage devices
- Data visualization
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
- Communications through 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 setup.

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

Examination Methods

The examination consists of:

1) written test with questions about the theory and practice part of the class
2) optional project
- Bibliographic research (max 2 points, max 2 people)
- Experimental activity (max 3 points, max 3 people)

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

Updated list of titles on the teacher's web page.

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

The final result (over 30 points) is computed by summing the result of both the written test and the project.

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