Course Offerings

Here you will find our course offerings for the degree programs in which we are represented in the Faculty of Economic and Social Sciences.

The chair's research areas are reflected in the broad structure of the course offerings:

In the Bachelor’s program, the introductory courses “Introduction to Information Systems” (EWI, for BSc WI) and “Operational Information Systems” (BIM, for BSc DBM, WiWi, and WiPäd) serve as compulsory courses forming the foundation for further education in Information Systems. This is complemented by the compulsory course “Applied Artificial Intelligence” (AAI, for all the aforementioned degree programs).

In the field of software development, the courses "Introduction to Programming" (EIP—mandatory for the BSc in Busi­ness Informatics) and "Programming and Program Development" (PPE—an elective for the BSc in Digital Busi­ness Manage­ment and the BSc in Busi­ness Education) serve as an entry point. Both courses utilize the Python language. This foundation is complemented by "Introduction to Databases" (IDB), which covers the area of ​​databases, a particularly relevant aspect of software development. The focus here is on the design and implementation of relational and hierarchical databases.

The "Machine Learning" (ML) course provides an initial in-depth look at the field of artificial intelligence. Using real or realistic scenarios, the entire data analysis process is covered.

The field of classical business information systems, specifically corporate information and communication systems is the subject of the “Simulation Game Digital Negotiations” (PdV). Using inter-organizational negotiations as a case study, the simulation explores the requirements for and concepts behind corporate information and communication systems, examining them in greater depth through the example of the negotiation support system Negoisst.

The practical application of knowledge acquired in the fields of software development and artificial intelligence takes place within the "Project Information Systems" (PWI) and the "Software Development Project" (SEP). Both courses are strongly project-oriented and address current, changing topics, in some cases involving external clients.

To deepen their knowledge of artificial intelligence, the Master’s program offers two additional courses: "Predictive Analytics" (PDA) and "AI in Action" (AIiA). In the PDA module, students learn value-generating techniques for building predictive models, understand how these differ from descriptive and decision models, and learn which models are suitable for specific tasks. The AIiA module builds on PDA, guiding students through the entire project cycle of the knowledge discovery process, using selected AI methods (such as neural networks, deep learning, or generative AI), based on real-world business use cases.

Topics in classical information systems are covered in the Master's program through "Advanced Negotiation Manage­ment" (ANM), "Enterprise Content Manage­ment Systems" (ECMS), and "IS in Action" (ISiA).

As with the Bachelor’s program, the seminar components of the Master’s program are interdisciplinary in nature: The “Seminar Application Project” (SAP) is project-based. It typically focuses on analyzing business processes and designing and prototyping supporting information systems. The “Research Project in IS” ​​(RPIS) is also project-based, but the focus here is on a research project rather than system development. Consequently, the RPIS serves as excellent preparation for the Master’s thesis and a potential subsequent academic career. The “Specialization Seminar: Intelligent Information Systems” (SFS) is a literature-based seminar offered exclusively for the HMM program.