Course home page
UPDATE: Due to COVID-19, the course will take place remotely via Zoom and MyCourses. Participation instructions given on page "Remote Participation Instruction". You must be logged in as a student to access the page.
This course provides students in all areas of technology 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. Students learn basics of empirical research in human factors engineering, including theoretical models and methods for evaluation of systems and accident analysis. Application areas discussed in the course include computing, automation, transportation, energy, manufacturing, networks, electronics, and health technology.
Teachers
Prof. Antti Oulasvirta (user interfaces) / School of Electrical Engineering / Aalto University
Teaching assistant Asutosh Hota
Visiting lecturers
Eligibility and Prerequisites
Bachelor and Master’s level students in all engineering and computer science programs at Aalto University. Familiarity with the Python language is preferable but not mandatory.
Course book
Selected parts from Wickens, C.D., Hollands, J.G., Banbury, S., and Parasuraman, R. Engineering Psychology and Human Performance (4th Edition)
Format
Lectures, assignments, readings (selected sections from the book), exam. Maximum 3 absences from lectures are allowed.
Note that assignments are handled via MyCourses. Assignment meetings are not held this year.
Grading
Scale 1-5, grading based on assignments (60%) and exam (40%).