AI for Business and Economics 2400-ZEWW976
This course provides a comprehensive introduction to the application of Artificial Intelligence in business and economics. It blends theoretical foundations with real-world practice through lectures, case studies, and academic readings. Students will explore how AI transforms value creation, operations, and decision-making. Emphasis is placed on AI strategy, data governance, ethical implications, and the practical use of AI technologies such as NLP, machine learning, and predictive analytics. The course equips students with both conceptual tools and practical approaches to drive responsible AI adoption in organizational settings. Student participation and discussion of case materials are essential for meeting the learning goals.
Topics include:
AI technologies and applications in business and economics
Data Strategy for AI
Machine Learning and NLP in economic decision-making
Business value creation through AI
Ethical Considerations and AI Governance
AI in Business Operations and Strategic Management
AI Supervision and Prompt Engineering
Type of course
Course coordinators
Learning outcomes
By the end of the course, students will be able to:
Analyze how AI affects value creation in business and economic systems
Develop effective AI-driven business strategies
Manage AI implementation in organizational settings
Apply key techniques such as NLP, machine learning, and analytics in economic analysis
Evaluate ethical and governance challenges in AI design and deployment
Integrate AI into strategic planning, operations, and decision-making
Understand and mitigate risks such as AI bias and hallucinations through prompt engineering and supervision
Assessment criteria
Group Project (40%): case study analysis
Final Exam (40%): Essay-based questions on AI in Business and Economics related questions
Participation (20%): Peer evaluations, in-class debates, and policy simulations
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: