LEARNING OUTCOMES
- At the end of the Smart Wearables I course, students should be able to
- Describe the basic working mechanisms of textile-based sensors and energy harvesters.
- Implement simple prototypes of smart textiles, such as pressure sensors, using conductive materials and common fabrication techniques, and evaluate the performance of these prototypes.
- Write a software tool to collect signals of textile-based sensors/energy harvesters and apply basic machine learning techniques to process the signals into meaningful information.
Credits: 3 - 6
Schedule: 04.09.2023 - 08.12.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Yu Xiao
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
This course will cover basics of e-textiles and basic machine learning techniques (e.g., classification, regression, clustering) for processing signals of e-textile-based sensors/energy harvesters into meaningful information. Besides lectures, it will provide tutorials on basic circuit design, fabrication methods, and embedded programming, which would help students learn to build simple prototypes of e-textile-based smart wearables.
applies in this implementation
The course will be taught in English. It is open to students from all the schools of Aalto University. It is not required to have any prior knowledge in the fields of machine learning, textile design or electronic design. Previous programming experience (e.g., Python) would make it easier to complete the course, but it is not mandatory.
The course consists of 2 modules, including e-textiles (in Period I) and basics of machine learning (in Period II). It is possible to complete only one of these modules to get 3 credits. If you complete both modules, you will receive 6 credits.
Assessment Methods and Criteria
applies in this implementation
You will collect points by attending exercise sessions and completing individual assignments. The final grade (scale : 1- 5) will be calculated based on the amount of points each student has collected during the course.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period: