Artificial Intelligence (AI)-Based Business Information Systems
Artificial intelligence (AI) offers significant opportunities while also creating new challenges for businesses. In light of these dynamics, this course focuses on the design, management, use, and impact of AI-based business information systems. It is not a technical course, but rather takes a managerial/organizational perspective on the use of AI in businesses. Topics covered will include:
- Theoretical and conceptual foundations of AI-based business information systems
- Business capabilities enabled by AI-based information systems: automation, engagement, insights & decisions, and innovation
- Challenges in and strategies for designing and managing AI-based information systems
- Exercises and case studies on selected AI-based information systems (e.g., robotic process automation, conversational AI, explainable AI, generative AI)
Learning Objectives
After successful participation in this course, students will be able to:
- Explain what AI-based business information systems are and how they enable important business capabilities
- Describe the theoretical and conceptual foundations that guide the design and management of different AI-based business information systems
- Identify key challenges in designing and managing different types of AI-based business information systems and develop strategies for addressing these challenges
In addition, students will gain some hands-on experience with explainable AI techniques and human-centered design approaches.
Course Details
Course number (Stud.IP) | 35006 |
ECTS | 5 |
Hours per week (SWS) | 4 (Lecture 2 + Exercise 2) |
Module applicability | Wirtschaftsinformatik / Information Systems (Master Wirtschaftsinformatik & Master Business Administration: Wirtschaftsinformatik Vertiefung) |
Examination | Portfolio: Group work and presentations during the course (40%); final exam (60%) |
Requirements | Basic skills in data analysis and/or programming (e.g., Python, R) are highly recommended. |
Language | English |