After successful completion of the course, students are able to...
๏ understand the concepts of Ubiquitous Computing describing the deployment and integration of computing technology into everyday objects and environments.
๏ understand and apply the relevant concepts and fundamental technologies (e.g. context-awareness, localization and sensing technologies, machine learning on the edge, microprocessor programming, design of ubicomp applications)
๏ to understand the specific topics of activity recognition, privacy concerns and preserving approaches, business applications, and related business models. ๏ apply your theoretical knowledge from the class to develop a specific ubicomp project.
* Introduction to Ubiquitous Computing, the vision of computing disappearing into the background and serving the user's needs proactively; this class will critically review this historic vision and put it into the context of today's developments.
* Notion of context-aware computing, the principle of integrating implicit input from user and environment for providing more meaningful services to the user
* Investigation of working principles of sensors and their application for context detection
* Review of location technologies, discussion of privacy-preserving approaches
* Relevant data models and standards for resource-constrained devices
* Review of systems & infrastructure
* Discussion of data analysis & activity recognition
* Overview of digital twin applications in industry
* Revisiting Design, Prototyping & Evaluation Methods
* Review of IoT business models
* Discussion of privacy-related implications
* State of the art of (physical) Fabrication technologies
* Outlook on emerging technologies
Technical knowledge and practical experience of:
- context-aware computing
- sensing technologies
- edge-computing
- sensor networks
- IoT business models
Cognitive skills:
- problem understanding, prototyping, presentation
Social competencies:
- group work, presentation skills, discussion, reflection
