Programme Focus:
The BIP offers a hands-on learning experience centered on real-world problem solving. Key topics include:
Applied Data Science and Artificial Intelligence
Real-time computer vision and visual data processing
LLM-guided systems for interpretation, reasoning, and decision support
Hardware-aware AI (e.g., Raspberry Pi, cameras, sensors, edge/IoT setups)
International team-based project work
Participants will collaborate in mixed international teams on short challenge-based projects covering visual data acquisition, exploratory analysis, lightweight AI/ML or LLM-supported prototyping, and final demonstrations.
Programme Structure:
Virtual Preparatory Phase
26–29 May 2026
Online kick-off, team formation, and introduction to tools, datasets, and challenges
Physical On-Site Phase — Heidelberg
15–19 June 2026
Workshops, labs, mentoring sessions, intensive project work, and final presentations
Assessment: Group project deliverables and final presentation
Credits: 5 ECTS (covering both virtual and physical components)
Learning Agreement:
This BIP is an Incoming BIP. Participating students should submit their home university’s Learning Agreement templates to SRH University Heidelberg for signature. We will sign and return the documents to support ECTS recognition.
Certificate of Attendance:
At the end of the on-site phase, all participants will receive an official Certificate of Attendance issued by SRH University Heidelberg for Erasmus+ documentation and credit recognition purposes.