Cognitive Engineering

online course

In this course, students gain skills and expertise in the field of human factors. First the theoretical groundwork (human perception and performance, design principles, and trust in automation) is laid and participants gain first practical insights in complex socio-technical systems.

Afterwards, participants team up to put the theoretical foundation into the real world, examining typical challenges in human-automation interaction.

Course leader

Tobias Rieger and Eileen Roesler are lecturers and researchers at the Chair of Work, Engineering, and Organizational Psychology at the TU Berlin. In both teaching and research, the lecturers engage in the field of human-automation-interaction.

Target group

This course is designed for current university students, working professionals and any individuals wanting to learn about typical challenges in human-automation interaction.

Participants from all fields and disciplines are welcome.

Course aim

Learning Goals:

Fundamental knowledge about human information processing and action selection as well as accompanying limitations
Ability and common methods to analyze and optimize typical human factors problems
Understanding and applying evaluation methods for human- machine-interaction in the context of user-centered design

Credits info

3 EC
3 ECTS (European Credit Transfer System) for the academic course.

Fee info

EUR 950: Fee for students.
The fee covers the course, course materials, and a digital cultural program.
EUR 1120: Fee for working professionals/ non- students.
The fee covers the course, course materials, and a digital cultural program.