Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
LEARNING OUTCOMES
Learning outcomes After successfully completing this course, the participants are able to:
- perform basic biosignal processing
- establish fundamental human-machine interfaces
- develop and compare a range of human in the loop robotic controllers
- identify requirements and challenges of developing human-robot interaction environments
- consider basic design needs for establishing robotic teleoperation and development of wearable robots
Credits: 5
Schedule: 18.01.2021 - 13.04.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Ville Kyrki, Ivan Vujaklija
Teacher in charge (applies in this implementation): Ville Kyrki, Ivan Vujaklija
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
The course content includes: Biosignal acquisition, Biosignal processing, Human in the loop controllers, Human-robot interaction
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
- Exercise reports (50%)
- Learning diary (30%)
- Article report (20%)
In case student is not able to complete the above tasks or is dissatisfied with the performance, there is an opportunity for a cumulative final exam at the end of the course which will discard the performance of the above three assessments and account for the full 100% of the grade. Student needs to inform the course instructor if they wish to take the exam the latest 3 weeks before the course end.
Workload
Valid 01.08.2020-31.07.2022:
Student’s view
Activity
Time allocation
Total [h]
Lectures
18
Exercises
67,5
Learning diary
36
Article report
13,5
135
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
Handouts, lecture and exercise material
Prerequisites
Valid 01.08.2020-31.07.2022:
Recommended: basic programming knowledge (MATLAB or Python), basic signal processing
SDG: Sustainable Development Goals
3 Good Health and Well-being
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
12 Responsible Production and Consumption