TY - CHAP A1 - Peuschke-Bischof, Tobias A1 - Kubica, Stefan ED - Carmo, Mafalda T1 - A Fictitious Vehicle Manufacturing Company at a University as Interdisciplinary Framework to Combine Study Programs T2 - Education and New Developments 2023 : Volume II N2 - Interdisciplinary thinking is becoming an increasingly important competence for meeting the challenges of our time, for example in the areas of sustainability or even digitalization. Successful value creation can only be achieved if all subject disciplines work together. Universities, too, must adapt to these needs and anchor the teaching of these competencies in their courses of study. In this context, interdisciplinary cooperation cannot be limited to the curricula, but must also bring together the teachers and the learners in a common context. Traditionally, universities have found it difficult to develop interdisciplinary scenarios. The teaching scenarios themselves must already provide interdisciplinary content and learning objectives. The challenge here is multi-level. First, it is a great challenge to connect the modules of a course of study in a thematically meaningful way. Second, it is the linking with other study programs that brings about the most sustainable interdisciplinary effects. One possible solution, which has been tested for several years, is to set up a fictitious company as a digital learning factory, which serves as a basis and reference for the interlinking of individual modules of the various courses of study. The scenarios that can be depicted here are extremely application-oriented, which means that not only can internal university modules be very easily aligned with them, but external partners, can also get a simple participation. Furthermore, the participating courses of study can continue to maintain their original core competencies while participating in the interdisciplinary scenarios via the modules that are aligned accordingly with the learning factory. A company from the vehicle construction sector was selected as the business model in order to be able to map another focus at the same time, autonomous driving. The individual departments of the company are linked professionally with the contents of the individual courses of study. Study programs, such as industrial engineering, form the design department, whereas technology-oriented study programs, such as business computing, represent technical development, in particular the area of driver assistance system development. In addition, the relevant departments also include economics and so on. The special feature, however, is the fact that real products in the form of vehicles on a scale of 1:14 are also created and continuously developed, which is an important success factor of the learning factory. The following article transfers the experiences made into a scheme of different levels of interdisciplinary forms of teaching within the framework of the learning factory and classifies and explains the existing scenarios accordingly. Furthermore, the teaching formats used, which have proven to be effective in imparting competences, are described. KW - higher education KW - science and technology education KW - educational environment KW - technology in teaching and learning KW - new learning and teaching models Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20213 SP - 429 EP - 433 PB - inScience Press CY - Lisbon ER - TY - GEN A1 - Kubica, Stefan A1 - Peuschke-Bischof, Tobias A1 - Müller, Belinda A1 - Avci, Robin T1 - Fahrmanöver für Geradeausfahrt N2 - This repository contains various short driving scenarios of our vehicle fleet in 1:14 scale. These are part of our digital learning factory "Wildauer Maschinen Werke" (www.th-wildau.de/wmw) and are used for the development of autonomous driving functions. The data is recorded in the form of Rosbags in the underlying robotic operating system (www.ros.org) and can be played in their own ROS server instances, whereby the recorded journeys of the vehicles can be simulated and used for their own developments. The scenarios contain short driving scenarios with so-called ROS topics. This includes engine and steering control and frontal distance measurements of an ultrasonic sensor. Videos are also provided for each scenario for a better overview. It is the 1st generation. Towards the end of 2020, data sets will follow that additionally contain camera data, GPS coordinates and speed as well as laser scanner data. Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-12649 ER -