In public administration, the level of digitisation is still comparatively low, but in some cases, there are very large databases, the use of which promises particular potential through artificial intelligence methods. In the Public Management bachelor's programme at HAW Hamburg, the necessary application-related knowledge and skills of graduates are sustainably improved through new course formats. The strong interdisciplinarity of the applications and the students' subsequent professional field requires that the teaching is also interdisciplinary. For this reason, the programme involves expert faculty members from computer science, psychology, law, economics and ethics.
 

The lecture provides practical knowledge about machine and deep learning methods for audio data. The course content is taught through live coding sessions in Python with Jupyter Notebook, using widely available ML libraries such as Scikit-Learn and TensorFlow. Students work in groups on a thematically relevant project, which results in a code repository, project report in the form of a paper and short presentation. The blended learning format of the course allows new content to be flexibly integrated into the curriculum in order to do justice to the rapidly changing field of research.

The qualification profile of mechanical engineers is developing in line with technical progress. Already today, software to support processes in the product lifecycle and the product itself accounts for the lion's share of value creation. The application possibilities of machine learning methods are likely to increase this importance in all phases of the lifecycle. Analogous to the education in engineering informatics, which does not aim to train software developers but enable students to work together with the corresponding subject domains on an equal footing, the fellowship project strives to establish a corresponding practice-oriented introduction in the compulsory area of undergraduate mechanical engineering courses. The courses in engineering informatics are already organised according to the principle of the inverted classroom model, so that the courses of the AI Campus can be well integrated here. 

Technology meets design – a connection that plays a central role in the communication of digital content and in the contact between users and digital applications: Technology creates new possibilities and spaces for action, design creates the interface to people, conveys content and interaction. In this joint project of Heilbronn and Pforzheim universities, students of computer science ("Software Engineering" and "Applied Computer Science") at Heilbronn University and students of "Visual Communication" at Pforzheim University will deal with AI technology, its applications, possibilities and future potential in a project. They will work together on the basics and in the end each interdisciplinary group will present an aspect of AI in a digital communication medium/exhibition. The choice of the AI topic, the concrete application and the implementation in a concrete art object is left to the students. The computer scientists provide the technological core –the programming with a chosen framework for a concrete use case – while the "Visual Communication" students contribute the design of the exhibit.

The project takes place within the framework of the "Laboratory for Software Projects and Project Skills", the learning stage for professional software development in the "Software Engineering” bachelor's degree programme. Using innovative learning concepts, students here can develop a deeper understanding of the meaning, functions and implications of human-machine interaction in the context of software product development. The goal is to sensitise and enable students to design high-quality digital products with a focus on the interfaces between users and technical artefacts. This should both increase the quality of the products and ensure an improved experience of the users in their diversity and their needs. At the same time, ethical aspects in the handling of data and in the development of algorithmic systems should be taken into account.