Cognitive Engineering

Due to the Covid-19 outbreak, this program has been cancelled for 2020. Please check our website for the new TU Berlin Summer University Online program.

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
Eileen Roesler

Target group

The target group includes current university students who have completed at least one year of their studies (Bachelor's, Master's or PhD level). Working professionals with equivalent work experience are also welcome to apply.

Course aim

The aim is to accomplish a holistic research process from the development of the research question to the presentation of the results. Thereby, the investigated technologies can vary broadly (e.g. humanoid robots, mobile applications, navigation devices, or websites).
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: The fee covers public transportation for the duration of the course, excursions, course materials, and a cultural program.