|Study location||Germany, Berlin|
|Type||On Campus, full-time|
|Nominal duration||2 weeks|
|Tuition fee||€890 per programme
The program price consists of the course/tuition fee (student or working professional, see details below) plus the registration fee (€60).
Student course/tuition fee: €890
This course/tuition fee covers the course, course materials and a cultural program.
|Registration fee||€60 one-time
The registration fee is in addition to the course/tuition fee and covers the processing of your application. It is payable upon registration. Please note that the registration fee is non-refundable.
All applicants are required to upload a document or certificate to demonstrate their proficiency in English language. If you are a non-native English speaker, you must prove you have a score equivalent to the level B2 or above in the European system (the Common European Framework of Reference for Languages, or CEFR), or provide evidence that you’ve undertaken an equivalent degree/studies in English.
More details: www.tu-berlin.de/menue/summer_university/requirements/
If you are a native English speaker, please select this during registration. You will then be exempt from having to upload proof of English level.
Specific requirements for Non-EU applicants:
Please upload your insurance waiver in English (all pages).
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 sociotechnical systems. Afterwards, participants team up to put the theoretical foundation into the real world, examining typical challenges in human-automation interaction. 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