Seminar Enterprise Computing (DLI) (WS 2024)

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 business informatics (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 users, whether humans or machines, with information 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.

The following enterprise computing topics are available this semester:

1. AI Governance: From the EU AI Act to ISO/IEC 42001 and Beyond (Christian Janiesch)
2. AI Ethics: Current and Future Challenges (Christian Janiesch)
3. MLOps: A Survey of Current Approaches (Christian Janiesch)
4. AI Maturity Models: Foundations, Current Approaches and the Road Ahead (Christian Janiesch)
5. Innovations in deep learning for multi-class classifications in unbalanced datasets (Philip Stahmann)
6. Status Quo of the Investigation of Medical Recommendations by LLMs (Philip Stahmann)
7. Status quo of the use of deep and especially reinforcement learning for the control of driverless vehicles (Philip Stahmann)
8. Design principles for a co-pilot to support the human-in-the-loop in IIoT (Maximilian Nebel)
9. Affective Computing for DSS: a systematic literature review (Maximilian Nebel)
10. Automated detection of workload and stress in the workplace (Maximilian Nebel)
11. Autonomous agents in logistics optimization (Seyyid A. Ciftci)
12. Human-machine interaction in autonomous systems (Seyyid A. Ciftci)
13. Challenges of collective behavior in multi-agent systems (Seyyid A. Ciftci)
14. Democratic control over AI systems - Going beyond individual responsibility (Alexander van der Staay)
15. The Impact of Resource Allocation on the Machine Learning Lifecycle (Alexander van der Staay)
16. Algorithmic pluralism: A structural approach to promote equal opportunities (Alexander van der Staay)
17. Filter models for music recommendation systems (Pauline Speckmann)
18. Machine learning methods to improve decision-making systems (Pauline Speckmann)
19. Content-based recommendation systems in mobile app markets (Pauline Speckmann)

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 on the process:

• You can apply for a topic at any time by e-mail, please write to Maximilian Nebel
• Kick-off with topic assignment on 16.10. at 04:15 p.m.
• Zoom link
• Binding registration for participation in the seminar: With the topic assignment
• Moodle course
• Standard deadline for submitting the papers before the presentation: 23.12.2024
• Presentations will take place in blocked attendance: presumably 27.01.2025

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 ensure that you use correct and precise sources. Please follow the instructions in the kickoff.

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.