Engineering

The course discusses topics including organization and tasks of project management; project teams and project responsibility; project structuring, phases of the project, and milestones; project planning,  tools for project planning (Gantt, etc.), and basics of network planning; project risk analysis; and project execution, and controlling and completion. The exercise on project management is oriented to training and deepening the methods of project planning and controlling presented in the lecture. More in-depth knowledge about those methods is acquired in a practical-case study. For this task, students learn to use specific project management tools.

This course examines 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 into complex socio-technical systems. Afterward, students team up to put the theoretical foundation into the real world, examining typical challenges in human-automation interaction. The course consists of 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). The course discusses topics including human information processing and action selection as well as accompanying limitations; common methods to analyze and optimize typical human factors problems; evaluation methods for human- machine-interaction in the context of user-centered design; fundamentals of Cognitive Engineering; human information processing and action selection; display design & usability; human-automation interaction; human-robot interaction; joint specification of the research technology and question; consolidation and application; and social and ethical issues in human-machine Interaction.