Mobile and Wearable Sensing for Health – DTU Special Course

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

Health Technology – one of the following

Software Engineering

  • Programming – Python | Java | Kotlin | Dart | JavaScript
  • 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.

Learning objectives

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.