Please note! Course description is confirmed for two academic years, 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: 16.01.2023 - 18.04.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ivan Vujaklija, Ville Kyrki

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:

    The course content includes: Biosignal acquisition, Biosignal processing, Human in the loop controllers, Human-robot interaction

Assessment Methods and Criteria
  • valid for whole curriculum period:

    • 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 for whole curriculum period:

    Student s view

    Activity

    Time allocation

    Total [h]

    Lectures

     

    18

    Exercises

     

    67,5

    Learning diary

     

DETAILS

Substitutes for Courses
Prerequisites
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

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III - IV
    2023-2024 Spring III - IV

    Enrollment :

    Registration for courses will take place on Sisu (sisu.aalto.fi)