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Academic Courses at the Chair of Human-Machine-Systems

Students from engineering sciences and Human Factors [1] should be given an overview about problems and results when designing, analyzing and rating human-machine systems. Insight into this interdisciplinary field is provided through exercises, internships and case scenarios.

Based on a system-oriented approach, instructional as well as factual knowledge are taught in courses like “Human-Machine-Systems” or “Systems Engineering" which consist of lecture parts, student projects, and exercises. 

The course „Human-Machine Systems“ [2] deals with basic concepts from human sciences and design-rules for human-machine systems for engineering, modeling and simulation, multimodal user interfaces, technical error and human reliability, assistance systems, and evaluation of technical systems.

During the course „Systems Engineering“, methods of engineering systems, basic concepts and approaches as well as topics like project management, teamwork, problem solving, decision making, goal development, benefit analysis and technology assessment are taught. Lectures are combined with interdisciplinary student projects [3] for groups of 8 to 16 students. Within these projects the student groups are responsible for preparation, implementation and evaluation oft a project with an industrial partner under guidance of a scientific employee. 

The course „Modeling and Simulation in Human-Machine Systems“ provides knowledge about options and constraints of modeling and simulating human information processing while working in dynamic and complex human-machine-systems. 

The course „Engineering science for psychologists“ [4] aims to provide insight into engineering thinking for students with a first degree in psychology as well as further interested parties. A lecture, an experimental exercise, and student project provide most important fundamentals of engineering science which are necessary for the further study process.

Within the course „Brain-Computer-Interfaces“, structure and benefit of a brain-computer-interface (BCI) based on a electroencepalograph (eeg) as well as its use within the field of human-machine-systems are demonstrated.

Within the course “Technical Documentation” [5] students can get an overview about psychological, technical, legal, and economic aspects which are important e.g. for designing instructional, installation, and transportation manuals.

Lecture Human-Machine-Systems
Lupe [6]
Experimental Exercise Human-Machine-Systems
Lupe [7]
At the PC-Pool
Lupe [8]
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