October–November, 2026
➤ Intended for: bachelor and master level EU students
➤ ECTS credits: 3
➤ Contact email: anne.uukkivi@tktk.ee
Online sessions:
19 October 2026
21 October 2026
23 October 2026
Intensive week in Tallinn:
2–6 November 2026
Location:
TTK University of Applied Sciences, Tallinn, Estonia
Each partner university is expected to send 5–6 students. This BIP is intended for bachelor and master level students from different study fields who are interested in generative AI, problem-solving, innovation, teamwork, and real-world challenges.
We welcome students from different backgrounds and disciplines. Students will work in multidisciplinary and international teams.
By the end of the BIP, participants will be able to:
Explain the principles behind generative AI systems, and in what ways the tools can be used for different roles and purposes.
Apply critical and design thinking theories and mental models to solving problems with generative AI tools.
Evaluate and justify the use of AI tools from ethical and effective learning perspectives.
The BIP is organised as a design sprint focused on real-world challenges provided by universities and companies.
Students will work in international and multidisciplinary teams to explore how generative AI can support problem-solving in different contexts.
The programme combines:
AI tools and experimentation,
design thinking,
teamwork,
university-business collaboration,
ethical and responsible AI use.
Students are expected to consider technical, ethical, social, sustainability, and trust-related aspects while developing their solutions.
The schedule is subject to changes.
19 October 2026
Introduction to the BIP
Introduction to generative AI
Team building and group formation
Introduction to challenges
21 October 2026
AI tools and workflows
Responsible and ethical AI use
Introduction to company challenges
First group assignment
23 October 2026
Reflection on challenges
Mapping tools and knowledge
Preparation for the intensive week
Understanding the challenge
Problem framing
Stakeholders and ethics
Group presentations
AI workshops
Experimenting with AI tools
Opportunity mapping
Working on the challenge
Company collaboration
Interim presentations
Refining solutions
Ethical and sustainability considerations
Documentation and reflection
Final presentations
Feedback and reflection
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NB! Please contact the Erasmus coordinator of your home university to discuss details for funding before you register.
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