At DTU I’m offering a special course on “Mobile and Wearable Sensing for Health”. This course is not (yet) in the course database, so here is a description of it (following the usual DTU template for course descriptions). If you are interested in participating in this course, send me an email and I will add you to our LEARN site.
The 1st edition of this course will run during the fall 2022 semester (starting Friday Sep. 2nd).
Title: Mobile and Wearable Sensing for Health
Schedule: Autumn E4B + E3B (Fridays, but only every second week)
Duration: 13 weeks
Location: Lyngby Campus
Scope and Form: Lectures, student presentations, practical exercises, and project work
Assessment: Project report with oral exam
Evaluation: 7 step scale, internal examiner
UX – one of the following
- 02808 [https://kurser.dtu.dk/course/2022-2023/02808], or
- 02266 [https://kurser.dtu.dk/course/02266], or
- 02809 [https://kurser.dtu.dk/course/02809]
Health Technology – one of the following
- 22055 [https://kurser.dtu.dk/course/2022-2023/22055], or
- 22056 [https://kurser.dtu.dk/course/2022-2023/22056]
- Software engineering – requirement engineering, modelling, architecture, testing, documentation
General course objectives
To enable students to design and implement mobile and wearable sensing technology and studies for health purposes. The course introduces a wide range of skills and is relevant as a preparation for doing a MSc Thesis project in digital health.
A student who has met the objectives of the course will be able to:
- Identify user’s and clinician’s needs for mobile sensing
- Review existing literature within digital health and mobile sensing
- Model and design a mobile sensing study
- Recruit and conduct a mobile sensing study and evaluate it
- Describe mobile sensing methodologies, approaches, and technology
- Implement mobile sensing software components
- Implement a simple mobile sensing application
- Analyse data collected in mobile sensing studies
The course is focused on an introduction to the notion of mobile and wearable sensing in health-related technologies and use cases.
The course introduces core cross-disciplinary skills like how to design technology for health purposes, how to do a literature review, how to ensure robust software architectures, how to run studies with human subjects, and how to analyse data. As such, this course is relevant as a preparation for doing a MSc Thesis project in digital health.
The course will provide lectures based on a sylabus of required reading (mostly scientific papers) which will be combined with student presentation of literature found and reviewed by students. The course will have a set of practical assignments (incl. study design, programming and data analysis) and a final project in the end.
Topics covered are:
- Mobile sensing
- Software Architecture
- Literature review
- (UX) Design for mobile sensing
- Data analysis (e.g., activity detection)
- A collection of book chapters and research papers.