Teaching code

4S003711

Credits

6

Coordinatore

Davide Quaglia

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Moodle Seminars

The teaching is organized as follows:

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 programming
Prerequisites: Database systems for bioinformatics

Bibliography

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.