Healthy living is a hot topic in today’s world. Many of us want to be fitter, stronger, and healthier, especially students, despite the challenges posed by their particular situation. That makes students fascinating subject matter for health-related lifestyle research, so on this course you study yourself and your own habits to create a practical tool employing artificial intelligence to help you and your peers live healthier lives. In short, an “intelligent lifestyle support” app.
|Course level||Beginner Bachelor/Advanced Bachelor/Master, open to PhD staff and professionals|
|Session 2||14 July to 28 July 2018|
|Recommended course combination
||Session 1: Big Data in Society|
Session 3: Big Ideas in Computer Science
|Co-ordinating lecturer||Romy Blankendaal, Dr Stefan Schlobach|
|Other lecturers||Dr Tibor Bosse (Radboud University Nijmegen), Dr Michel Klein (VU Amsterdam) and others|
|Form(s) of tuition||Lectures, practicals, discussions, group work, excursion|
|Form(s) of assessment||Project, presentation, video|
Along the way you acquire both theoretical knowledge of human behaviour and the technical hands-on skills, including data-analysis and programming abilities, needed to convert what you have learned into a useable application.
Having defined a socially relevant issue within the thematic domain “healthy study”, you collect related data. Given the nature of the topic, this will most likely be information about you and your fellow students: your diet and drinking habits, or your sporting activities, exercise regime or social contacts. Using that material as input, you then develop an intervention model to address the issue by influencing behaviour using techniques drawn from AI. This forms the basis for your lifestyle support application. Having tested and evaluated this, at the end of the course you reveal your problem, process and product through a video and a final presentation.
At the end of this course you have:
Romy Blankendaal is a junior researcher and junior teacher at the Artificial Intelligence Section within the Department of Computer Science at the Vrije Universiteit Amsterdam (VU). She holds a MSc degree in Artificial Intelligence from the VU. Her current research is about the use of virtual aggression de-escalation training for public transport employees. Combining domain knowledge with technology is an important aspect in this research: technology only works if it fits the needs of the domain it is used in.
“This course teaches you a new way of thinking and a valuable skill: closing the gap between technology and domain knowledge, by combining both to create intelligent lifestyle support.”