Current Semester

Contents: Modeling of integrated information systems and process modeling; application of business administration concepts in an enterprise resource planning system (ERP system), such as SAP®, as well as multidimensional analysis of corporate data in management information systems.

Learning and qualification objectives: After successful participation, students are able to describe the possible applications of ERP systems in companies, explain and master the essential functionalities of ERP systems, describe and explain elements of modeling languages for representing business processes (e.g., EPC), interpret simple business process models, create them independently, and implement them in an ERP system.

Examination format: Written examination (100%) during the examination period

Further information

Contents:

• Fundamentals of modern web development: architecture of web applications, client–server communication, Python (server-side), JavaScript (client-side), HTML5/CSS3, responsive design.
• Practice of web application development: working with web frameworks (MVC, routing, forms, sessions), data modeling and database integration, development of a complete web application from idea to implementation.

Learning and qualification objectives: After successful participation, students are able to build websites. They understand the division of tasks between client and server and have basic knowledge of the programming languages Python and JavaScript.

Examination format: Individual completion of exercise assignments (approximately 30%), development and presentation of a web development project in groups (approximately 70%). Both components must be passed individually. The actual weighting of the components in the overall grade will be announced at the beginning of the module.

Further information

Contents: In this interdisciplinary module, the degree program or specialization does not matter. The only requirement is an interest in transferring one’s knowledge and commitment into companies.

Examination format: 40% final presentation, 60% project documentation

Further information

Contents: Work on selected research questions related to changing topics in the field of Business Informatics, particularly e-commerce; review of current research literature and, where applicable, implementation of (technical) solutions or conduct of empirical studies in small groups.

Learning and qualification objectives: After successful participation, students are able to:

• research, narrow down, understand, and analyze topic-related academic literature,
• structure their own findings in a meaningful way, present them in written form according to academic standards in a term paper, and present them orally,
• critically discuss academic research questions.

Examination format: Term paper (approx. 60%), presentation (approx. 30%), participation in discussions (approx. 10%); each component must be passed individually. The overall grade is calculated as the weighted sum of the individual grades. Due to the changing overarching seminar topics, components that have already been passed must be repeated if the seminar is retaken. Dates and the exact weighting of the components will be announced before the start of the course.

Further information

Contents: Disruptive technologies as drivers of digital transformation; business model innovations; digital platforms and their impact on traditional business models; platform strategy and governance mechanisms; the role of artificial intelligence and machine learning in business processes.

Learning and qualification objectives: After successful participation, students are able to

• identify disruptive technologies and assess their potential impact on existing business models and industry structures,
• analyze digital business models and transfer them to different industries based on their characteristics,
• understand the functioning and economic principles of digital platforms and evaluate their influence on traditional business models,
• develop strategies for the management and governance of digital platforms,
• recognize the relevance of artificial intelligence and machine learning for business processes and identify potential use cases.

Examination format: Project report and presentation in small groups (approx. 70%) and written examination during the examination period (approx. 30%). The exact weighting of the components in the overall grade will be announced at the beginning of the module. Both components must be passed individually. Participation in the written examination is therefore only possible if the project has been successfully completed. In the event of a possible retake of the written examination, the project performance will be credited.

Further information

Contents: Students are assigned practice-oriented projects, which may be carried out in cooperation with participating local companies in the digital economy. These may include, for example, the development of a knowledge database, the creation of a target group analysis, optimization of current-state processes, cost–benefit analyses, lead generation on social media, or similar tasks.

Learning and qualification objectives: After successful participation in this project module, students are trained to organize and plan a practical business intelligence project, implement prototypical solutions, critically discuss the results, and present the applied methods and achieved outcomes in a structured project report.

Examination format: Project report (approx. 60%), presentation (approx. 40%); the exact grading weights will be announced at the beginning of the course. Each component must be passed individually. The overall grade is calculated as the weighted sum of the individual grades. Due to the changing project topics, components that have already been passed must be repeated if the module is retaken.

Further information