Information on individual educational components (ECTS-Course descriptions) per semester

  
Degree programme:Contextual Studies
Type of degree:Intern
 Special-Time
 Summer Semester 2026
  

Course unit titleAI in Action - Shaping Society and the Economy
Course unit code800101012120
Language of instructionEnglish
Type of course unit (compulsory, optional)Elective
Semester when the course unit is deliveredSummer Semester 2026
Teaching hours per week2
Year of study2026
Level of course unit (e.g. first, second or third cycle)First Cycle (Bachelor)
Number of ECTS credits allocated3
Name of lecturer(s)Florian BÜHLER


Prerequisites and co-requisites

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 learning units) and attendance during the intensive training week (26 teaching units)

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.

Course content

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
Learning outcomes

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.
Planned learning activities and teaching methods

Project-based teaching. Students are encouraged to develop their own solutions.

Assessment methods and criteria

Final presentation

Comment

For further questions please contact florian.buehler@fhv.at.

Recommended or required reading

None

Mode of delivery (face-to-face, distance learning)

Classroom teaching and self-study, blended learning components.

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