Learning objectives
Knowledge and understanding:
Basic knowledge on health and wellbeing technologies. Participatory design skills.
Applying knowledge and understanding: being able to develop autonomously the basic design of a digital system for health and wellbeing applications.
Making judgements: evaluating different design options and making choices based on functional and performance specification.
Communication skills: being able to communicate in effective and concise fashion one’s own design activity, also in a team-working environment.
Prerequisites
Course unit content
Application of Information Technologies to health management, wellbeing and independent life
Full programme
Introduction and motivation (2 h)
Telemedicine, e-health and m-health (2h)
Biosignals: classification and main features (4h)
Signal acquisition: sensors and acquisition architectures (2h)
Activity and behavioral monitoring (2h)
Data analytics: classification, statistical techniques, machine learning techniques (4 h)
Data protection and interoperability: concepts and main standards.(2h)
Healthcare systems organization (2h)
Topical seminars (research, industry). (4h)
Laboratory: teamwork, aimed at multidisciplinary, user-centered design in health and Active and Healthy Ageing use-cases (supported by IBM Research). (24 h)
Bibliography
Lecture notes, scientific literature.
Teaching methods
The course includes:
- Oral lessons
- Lab work, aimed at mastering advanced analytics techniques for health and wellbeing data
- seminars and expert contributions
Assessment methods and criteria
The final examination consists of two parts: oral examination and lab work discussion (group presentation, if needed).
Oral examination is carried out individually and is related to theoretical topics included in the program. Both parts have similar weight in the final marks assessment.
Other information
Course material at http://elly.dia.unipr.it/
2030 agenda goals for sustainable development
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