AI in Action - Shaping Society and the Economy (CS)
| Degree programme | Computer Science |
| Subject area | Engineering Technology |
| Type of degree | Master full-time |
| Type of course unit (compulsory, optional) | Elective |
| Course unit code | 800101012120 |
| Teaching units | 30 |
| Year of study | 2026 |
| Name of lecturer(s) | Florian BÜHLER |
No prerequisites.
Time slot: Thursday, 30.04.2026 from 6 pm and intensive training week 18.05.-20.05.2026
Preparation in blended learning mode (4 teaching units) and attendance during the intensive training week
Course language: English
Course occupancy: Minimum 9 persons / Maximum 21 persons
Course costs: none
Sustainability: SDG 9 - industry, innovation and infrastructure
FHV Future Skills: Foster Critical Thinking, Promote Academic Creativity
Registration: From 15-25 November 2025 in A5 under ‘Course selection’. If a late booking is required, please contact sabine.frick@fhv.at
Introduction to artificial intelligence
- Examples of AI in everyday life, business and society
Humans and AI
- Perception and acceptance of AI
- Psychological reactions, trust and control
Effects of AI on society and the economy
- Changes in the world of work, education, consumption, sustainability
- New business models and innovations through AI
Practical relevance
- Excursion to an AI-related company / organisation
- Analysis and reflection of real application examples
- Discussion with experts
Team projects: Developing ideas with AI
- Problem identification and ideation in small groups
- Development of AI-supported solutions
- Presentation of project ideas with a focus on impact and implementation
After completing the course, students will be able to:
- Critically reflect on the social and economic impact of AI, particularly with regard to opportunities, risks, ethical issues and social inequalities.
- Analyse human reactions to AI and explain how trust, acceptance or rejection of AI arise.
- Assess real AI applications by examining specific practical examples as part of an excursion and discussing their challenges and success factors.
- Develop innovative ideas for AI applications in interdisciplinary teams that address social or economic problems and enable new solutions through the creative use of current technologies.
- Clearly present and argue their own project ideas, taking into account feasibility, impact and social relevance.
Project-based teaching. Students are encouraged to develop their own solutions.
Final presentation
For further questions please contact: florian.buehler@fhv.at
None
Classroom teaching and self-study, blended learning components.