System Architecture for Biotechnology (2016/2017)

Course code
4S01910
Name of lecturers
Davide Quaglia, Riccardo Muradore
Coordinator
Davide Quaglia
Number of ECTS credits allocated
6
Academic sector
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Language of instruction
Italian
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.

Lesson timetable

II sem.
Day Time Type Place Note
Tuesday 3:30 PM - 6:30 PM lesson Lecture Hall B from Mar 7, 2017  to Jun 9, 2017
Thursday 11:30 AM - 2:30 PM laboratorio Laboratory Laboratorio Ciberfisico from Mar 9, 2017  to Jun 9, 2017

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.

Syllabus

Theory
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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
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- 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 books
Author Title Publisher Year ISBN Note
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

Assessment methods and criteria

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.

Teaching aids

Documents

STUDENT MODULE EVALUATION - 2016/2017