HNH-52306 Quantified Self: Monitoring Dietary Behaviour
Course coordinator and Examiner dr. G Camps
In this course, students will learn about state-of-the-art technologies and devices (e.g. smart watches, activity trackers) in the field of dietary behaviour, lifestyle and health. Students will evaluate existing apps and will critically reflect on e.g. their usability, the behavior change theories applied, and the data quality. Finally, students will design a prototype of an app which will be evaluated for nutritional, public health, communication and IT aspects.
After successful completion of this course students are expected to be able to:
- demonstrate knowledge on evidence-based best practice in the use of innovative technologies in monitoring dietary and other lifestyle behaviours for public health and research purposes;
- judge the potential and limitations of conventional and innovative technologies used by individual consumers and for research purposes;
- make design choices for the development of a tailored innovative technology (app) that addresses problems and opportunities in the life-science domain.
The final mark is based on a portfolio consisting of a combination of individual and group deliverables. Teachers can decide to give individual grades to members of a group for group deliverables if necessary. Some deliverables are graded as pass or fail. To pass the course, the grade for each deliverable should be at least 5.50 resp. a pass. The marks for the deliverables of this course will remain valid for 6 academic years.
BSc minor Quantified Self (WUQFS)
Innovative technical applications to support self-monitoring by individuals are emerging, e.g. smart watches, activity trackers. This multidisciplinary minor focuses on recent developments in information technology and communication sciences. These developments have the potential to revolutionize the collection of valid dietary and lifestyle data and to support consumers in adopting and maintaining a healthy diet and active lifestyle by using self-monitoring and feedback mechanisms.