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, and clinical labs. Starting from actual case studies, the main related topics are highlighted; then, each of them is addresses in detail from a theoretical and practical perspective. Finally, workshops with external speakers allow to meet companies and institutions which use this knowledge.
32 hours on the following topics:
Communications among systems
- Bar code
- Active wireless tags
Methods and devices for data acquisition and storage
- Acquisition, calibration and errors
- Storage formats
- Storage devices
- Concurrent and sequential processes
- Concurrent models: pipeline and farm
- Temporal constraints
- Queue networks
- Job scheduling
High performance computing
- Parallel architectures
- Digital Signal Processors (DSP)
- Programming techniques
Management of laboratory hardware
- Supply chain management: inputs and outputs
- Overview of job risk management
4 practical experiences of 3 hours:
- Connection of services through a middleware layer.
- Machine virtualization.
- Parallelization of biotechnological algorithms.
- Linux setup.
The examination consists of:
1) written test with questions about the theory and practice part of the class
2) project and corresponding documentation (groups of max 2 people)
- Bibliographic research (max 2 points)
- Implementation (max 3 points)
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.