NWNR100245 Digital assistance systems for wood technology processes

Type
course with non-continuous assessment
Semester hours
2
Lecturer (assistant)
Riegler, Martin
Organisation
Wood Technology and Renewable Materials
Offered in
Sommersemester 2026
Languages of instruction
Deutsch
Content

The course ‘Digital Assistance Systems for Wood Technology Processes’ covers modern digital assistance systems that are currently being introduced in the wood industry or show potential for introduction. The focus is on digital systems that support people in their work. This so-called collaboration between humans and machines is realised by means of sensor technology, actuator technology and/or AI-based algorithms.
Students learn about the latest developments in hardware (e.g. collaborative robots) and software (e.g. artificial intelligence algorithms) and can apply this knowledge to the context of the wood processing industry.
Current developments in assistance systems are also described in the fifth industrial revolution (Industry 5.0), in which digital assistance systems are combined with human intelligence, creativity and problem-solving skills. This allows optimal recommendations for action to be derived for wood technology processes.
Previous knowledge expected


Objective (expected results of study and acquired competences)

Students are able to evaluate the digital technologies introduced in the course for supporting employees in the respective application of woodworking and wood processing, with a focus on needs-based use. This enables students to identify appropriate technologies for the respective application.
Students are familiar with the possibilities and potential benefits of digital technologies in the context of Industry 5.0 and can thus derive innovative development concepts and assess the potential of investments in possible digital technologies. Potential interactions between humans and machines in the course of woodworking and processing can be assessed objectively and in a needs-oriented manner, and further scientific questions can be derived.
Potential digital technologies for human-machine interactions can be communicated confidently in a public environment. Learning about potential fields of application for digital technologies and methods opens up new opportunities for personal development.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.