Teaching

Introduction and stress-strain concept, company organization, work organization, modeling and optimization of work processes, time structure analysis and experimental time determination methods, computational time determination methods, remuneration and motivation, occupational safety and safety-related work design, work environment factors, workplace design in production

Introduction and conceptual basics, technical basics, driver assistance, assistance in aviation, process monitoring, teleoperation support, human-robot collaboration, assistance systems in PC applications, mobile assistance systems, augmented reality, ambient assisted living, smart home

Technological-technical design, ergonomic design and anthropometry, human information processing and information technology design, controller-human model, cognitive engineering and human errors

User-oriented design process and context of use analysis, task analysis, systematic development using the example of human-robot interaction, boundary conditions for prototypical realization, design methods and tools for user interfaces, user interface design patterns, evaluation method overview as well as theory- and expert-based methods, user-based evaluation methods for objective evaluation, user-based evaluation methods for subjective evaluation, statistical methods, planning, implementation and evaluation of experimental studies

The "Smart Human-Machine Systems" project offers the opportunity to develop innovative solutions in the field of human-machine interaction at the interface between theory and practice. Students not only learn about digitalization and robotics in practice using specific use cases, but also test and evaluate their own developments. The range of projects offered by the Human-Machine Systems Engineering department is interdisciplinary and looks at interaction design from analysis to implementation and evaluation.

What our project participants can expect

• Project management: gain initial experience in agile project management and in the organization of development teams, get to know tools and processes that are widely used in practice
• Robotics and programming: take your first steps with beginner-friendly robots and graphical programming, go deeper with the support of the team and teachers and quickly achieve amazing results based on a comprehensive robot API with your own Python scripts
• Hands-on digital experience: get to know and try out innovative technologies such as human-robot collaboration, virtual and augmented reality, 3D scanning and printing in practice using real industrial examples and setups, carry out digital work system design with economic and ergonomic evaluation yourself, experience assembly and welding training
• Solve complex problems in an interdisciplinary team: Prepare, carry out and evaluate common experimental investigations in research and development projects, use simulation and measurement empirically for this purpose, evaluate results, optimize products and processes

Participants are expected to master the challenges of a development project in a team. They solve given tasks with several humanoid NAO robots. How these tasks are solved is left to their own creativity. The participants manage the development project themselves and present their results to the instructors. They can learn about robotics and programming without any prior knowledge. Participants take their first steps with beginner-friendly robots and graphical programming. With support from the team and teachers, they delve deeper and quickly achieve amazing results based on a comprehensive robot API with their own Python scripts. Students gain experience with project management and teamwork, deepen problem-oriented thinking and find an introduction to programming.

Participants immerse themselves in the world of modern production work. They work with current technologies in the lab and develop solutions for practical applications. For example, they evaluate for which processes the use of a collaborative robot is suitable and sensible. In digital work system design, modeling and simulation enable them to find, analyze and eliminate ergonomic and efficiency problems at workstations. With the help of augmented and virtual reality, new personnel can be trained more quickly, e.g. for assembly, and processes can be improved, which can be experienced in practice. The team works together to solve company-related problems, reflect on the results as lessons learned and develop digital skills in the process. This project also enables students to make decisions about the use and further development of the technologies experienced in the lab.

Participants first learn about different ways in which people perceive their environment and interact with technical devices. For objective assessments, various physiological measurement methods are used in experiments, the application of which is tested in practice. The acquired knowledge is then applied to plan an interdisciplinary research project and carry it out independently in parts. This not only offers the opportunity to gain practical study experience, but also to get to know and apply creative research approaches in interactive experiments and to learn how to evaluate empirical work and document results according to scientific standards.

Introduction to scientific work, changing selection of topics: You will receive further information in the course.

Introduction to scientific work, changing selection of topics: You will receive further information in the course

Introduction to scientific work, changing selection of topics: You will receive further information in the course.

• Written exam on Thursday, March 12, 2026, 10:30-12:00, lecture hall 6 (room 0504), Arnold-Bode 12
• Exam results from Friday, April 17, 2026, in HIS-POS and the showcase in front of the department entrance
• The exam inspection, which requires registration, will take place on Thursday, April 23, 2026, from 14:00 in room 3216. Prior registration via the Moodle course is required.

Oral examination on Friday, August 30, 2024, 4:00-5:00 p.m., Room 1612, Mönchebergstr. 7

• Written exam on Tuesday, February 24, 2026, 10:30-12:00, lecture hall 3 (room 0504), Diagonale 5
• Exam results from Friday, April 17, 2026, in HIS-POS and the showcase in front of the department entrance
• The exam inspection, which requires registration, will take place on Thursday, April 23, 2026, from 14:00 in room 3216. Prior registration via the Moodle course is required.

• Written exam on Friday, February 27, 2026, 10:30-12:00, lecture hall 0400, Mönchebergstr. 7
• Exam results from Friday, April 17, 2026, in HIS-POS and the showcase in front of the department entrance
• The exam inspection, which requires registration, is expected to take place on Thursday, April 23, 2026, from 14:00 in R. 3216. Prior registration via the Moodle course is required.

• Active participation and test protocols by Tuesday, February 10, 2026

• Active participation and final presentation on Monday, February 09, 2026

• Active participation until Monday, July 21, 2025

• Active participation and test protocols by Tuesday, February 10, 2026

• Lecture until Thursday, February 12, 2026

• Lecture until Thursday, February 12, 2026

• Lecture until Thursday, February 12, 2026