About this course
Topics covered include:
- Coding: basic concepts, practical training, testing
- Foundations of sensor technologies
- Foundations of Bluetooth communication
- Usage of advanced programming interfaces (APIs)
- Analysis of time series data
- Introduction to machine learning techniques
Learning outcomes
Main Goal of this lab course is to enable students to plan, execute and analyse experiments using wearable sensors. To this end, students will learn the basics of the hardware and communication of the sensors, basics of time-series data, algorithmic approaches for data analysis, and foundations of machine learning techniques. Students will learn how a research question can be answered by capturing and analysing data.
Prerequisites for participation
45 ECTS, scripting or coding experiences are desirable (Python, Matlab, C++)
Necessary language skill
English
Semester(s) in which the module takes place
Winter Semester
Course type
Practical + Seminar
Course level
Masters
Course start date
28 Oct 2024
Course end date
20 Dec 2024
Involvement period
8 weeks
Teaching mode
Local
Local attendance
Required
Workload in ECTS
15
Graded
Yes
Person in charge of module
Prof. Dr. Björn Krüger
Local module ID
WPP 57