Topic outline

  • General

    Important note: In 2024, this course will be held in an in-person intensive course at the end of the period. Students have to pass a pre-exam in May to attend the course. See SISU and the "Exam" page for more information. 


    tesla

    The course introduces human factors engineering. It provides students in all areas of engineering and computing a solid understanding main approaches to the design and engineering of complex systems for human use. Students learn the principles of designing systems and technologies that increase productivity and that are safe to operate and robust to human error. They learn the basics of empirical research in human factors engineering, including theoretical models and methods for evaluation of systems and accident analysis. We discuss basics of human perception, motor control, and thinking. Application areas discussed in the course include computing, automation, transportation, energy, manufacturing, networks, electronics, and health technology.

    Teachers

    Prof. Antti Oulasvirta (cbl.aalto.fi) / School of Electrical Engineering / Aalto University

    Teaching assistant: TBD

    Eligibility and Prerequisites

    Bachelor and Master’s level students in all engineering and computer science programs at Aalto University. Some familiarity with the Python language is preferable but not mandatory. Passing the pre-exam is a mandatory requirement for taking part in the intensive lecture week in June.

    Course book

    Kasper Hornbæk, Per-Ola Kristensson, and Antti Oulasvirta. Introduction to Human-computer Interaction. Oxford University Press. 

    Format

    Lectures, assignments, entry exam, small project works

    1 absence is allowed

    Grading

    Pre-exam 40%
    Participation during the intensive week 20%
    Deliverables from the intensive week 40%