Digital Transformation & Artificial Intelligence 3: Business, Governance & Policy in the Digital Age
Niveau
1st study cycle, Bachelor
Learning outcomes of the courses/module
The participants:
• understand key concepts of digital transformation and AI.
• can work on practice-oriented case studies and formulate their own solution approaches for digital business models.
• recognize the challenges of digital transformation and AI in practice.
• understand key concepts of digital transformation and AI.
• can work on practice-oriented case studies and formulate their own solution approaches for digital business models.
• recognize the challenges of digital transformation and AI in practice.
Prerequisites for the course
None
Course content
• Fundamentals of digital transformation and artificial intelligence
• Overview of regulatory aspects relating to digital business models and AI
• Effects of digital transformation and AI on companies, the economy, and governance structures
• Overview of regulatory and ethical challenges
• Introduction to key digital initiatives and strategies of the European Union
• Overview of regulatory aspects relating to digital business models and AI
• Effects of digital transformation and AI on companies, the economy, and governance structures
• Overview of regulatory and ethical challenges
• Introduction to key digital initiatives and strategies of the European Union
Recommended specialist literature
• Laudon, K.C., & Laudon, J.P.: Management Information Systems: Managing the Digital Firm, Pearson (latest edition)
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Blended learning
Semester/trimester in which the course/module is offered
5