Teaching code

4S003711

Teacher

Davide Quaglia

Coordinatore

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 Moodle Seminars

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
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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
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- 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

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.

Bibliography

Teaching materials

•   00.Calendario del corso   (pdf, it, 31 KB, 07/06/18)
•   01.Introduzione al corso   (pdf, it, 3103 KB, 06/03/18)
•   02.Comunicazione tra sistemi   (pdf, it, 9497 KB, 06/03/18)
•   03.Acquisizione e memorizzazione dell'informazione   (pdf, it, 7596 KB, 06/03/18)
•   04.Tracciabilità automatica   (pdf, it, 3714 KB, 07/06/18)
•   05.Esercitazione su analisi di rete   (zip, it, 5979 KB, 28/03/18)
•   06.Esercitazione su programmazione di rete   (zip, it, 11485 KB, 02/05/18)
•   07.Esercitazione su automatizzazione ricerca biotech   (zip, it, 3559 KB, 23/05/18)
•   08.Esercitazione su vitualizzazione, Linux e Apache   (pdf, it, 1529 KB, 30/05/18)
•   09.Esercitazione su tracciabilità   (pdf, it, 114 KB, 07/06/18)
•   A.Esempio di tracciabilità in Ospedale Verona   (pdf, it, 99 KB, 06/03/18)
•   B.Esempi di sensori innovativi   (zip, en, 2292 KB, 07/06/18)
•   C.Esempi di domande di esame   (pdf, it, 64 KB, 12/06/18)