Proseminar Enterprise Computing (SS 2025)

Enterprise computing is one of the applied computer sciences. It is characterized by its interdisciplinary nature, as it combines elements of business administration, computer science, engineering and behavioural sciences.

The subject of enterprise computing or Wirtschaftsinformatik (WI) is information systems, often also referred to as information and communication systems, in business, public administration and private households. Information systems comprise human and machine components (subsystems). The term "information" makes it clear that the most important purpose of information systems is to provide information to users, be they people or machines, and to control operational activities with the help of information.

The focus is on the design, development, introduction, use and maintenance of application systems as well as the general management of information as a production factor. Enterprise computing performs an interface function between the often technically oriented core informatics and the application-oriented business administration. Its interdisciplinary character is reinforced by the inclusion of aspects of ergonomics, psychology, sociology and mathematics and technology.

This semester's topics will focus on the following areas of enterprise computing, for example:

1. Application potentials of affective computing for the Industrial Internet of Things (supervisor: Maximilian Nebel)
2. Design principles for a co-pilot to support the human-in-the-loop in the IIoT (supervisor: Maximilian Nebel)
3. Process patterns for managing workload and stress in the workplace (Supervisor: Maximilian Nebel)
4. AI Governance: From the EU AI Act to ISO/IEC 42001 and Beyond (Supervisor: Christian Janiesch)
5. MLOps: A Survey of Current Approaches (Supervisor: Christian Janiesch)
6. AI Maturity Models: Foundations, Current Approaches and the Road Ahead (Supervisor: Christian Janiesch)
7. Autonomous Agents in Logistics Optimization (Supervisor: Seyyid A. Ciftci)
8. Human-Machine Interaction in Autonomous Systems (Supervisor: Seyyid A. Ciftci)
9. Challenges of collective behavior in multi-agent systems (Supervisor: Seyyid A. Ciftci)
10. Democratic control over AI systems - Going beyond individual accountability (Supervisor: Alexander van der Staay)
11. The Impact of Resource Allocation on the Machine Learning Life Cycle (Supervisor: Alexander van der Staay)
12. Algorithmic pluralism: A structural approach to equal opportunity (Supervisor: Alexander van der Staay)
13. Machine learning methods for the improvement of decision systems (Supervisor: Pauline Speckmann)
14. Global explanations for machine learning methods (Supervisor: Pauline Speckmann)
15. Bias and other problems in recommender systems (Supervisor: Pauline Speckmann)
16. and others

It is generally advisable to take the Business Information Systems and/or Business Process Management modules beforehand or in parallel. This makes it easier to familiarize yourself with many topics.

Learning objectives

In this seminar, you will acquire both specialist skills and key qualifications:

1. You will recognize the importance of socio-technical ways of thinking for the organization of operational information systems in companies.
2. You will learn about various topics of enterprise computing in order to be able to design enterprise computing yourself.
3. They learn to research and work scientifically and to put their thoughts precisely on paper.
4. They improve their communication skills in order to exchange and constructively discuss their scientifically based knowledge.

Procedure & structure

Please note the following information about the course:

• The course includes apresentation course.

• Topics will be assigned promptly (Zoom): at short notice via Zoom after assignment
• Binding registration for participation in the seminar: 1 week after topic allocation
• Standard deadline for submitting the papers before the presentation: probably week 24
• Presentations will take place in a block in presence: probably week 26

Permitted aids

You may use text generators such as ChatGPT in this seminar. However, you must mark these areas. Finally, the overall impression of your work will be assessed, regardless of how many lines you have written personally. Furthermore, you must, of course, pay attention to correct and precise source work.

Examination performance

You must complete the following tasks by the deadline:

1. 15 (text) pages of elaboration excluding bibliography and appendix
2. Presentation of 20 minutes + approx. 10 minutes discussion

Deviations from these requirements by more than 10% (2 pages) should be discussed in advance. You will find a format template and instructions for editing in the Moodle room after the assignment. They will be based on our guidelines for final theses.

The grade is made up of ⅔ elaboration and ⅓ presentation. Active participation in the discussion of other presentations regularly has a positive influence on the composition of the final grade.