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

This course provides students in all areas of engineering and computer science with a solid understanding of human factors relevant in the design and engineering of complex systems for human use. Students learn how to design systems that increase productivity and that are safe to operate and robust to human error. They learn basics of empirical research in this space, including evaluation of systems and accident analysis.

Credits: 5

Schedule: 25.04.2023 - 07.06.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Antti Oulasvirta

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:

    Course contents cover theories and models of human factors engineering and human performance. Updated yearly. Focus is on assignments. One guest lecture from industry.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Exam, assignments

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    See course homepage in MyCourses for more information.

    Teaching Language : English

    Teaching Period : 2022-2023 Spring V
    2023-2024 Spring V