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

FURTHER INFORMATION

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