Autumn School on AI


Welcome/Willkommen (de)/اهلا وسهلا (ar) to the AI Autumn School, one of the measures of our project on affordablE collaborativE learning for global Digital heAlth (EEDA – ايدا), a platform where academia meets innovation, and global collaboration sparks intellectual excellence. Through the partnership of Albarqouni Lab at the University Hospital Bonn, University of Bonn and Helmholtz Munich in Germany and the Faculty of Health Sciences at Beirut Arab University in Lebanon, we offer an enriching educational experience that marries cutting-edge AI advancements with multi-discplines through lectures, hands-on labs, and real-world hackathon led by faculty and skilled tutors.

EEDA’s Mission

Our mission revolves around three core pillars

  • Innovative Teaching Modules: We are dedicated to crafting teaching course modules that are not only informed by the latest AI developments but also finely tuned to the specific needs and resource limitations of low-income countries in the MENA region. The modules equip participants with essential AI skills to address healthcare challenges effectively.
  • Knowledge Transfer and Research Excellence: With participation from diverse academic backgrounds, we foster knowledge transfer and collaborative learning among approximately 100 students and graduates. Additionally, we facilitate research stays for both students and university staff between partner institutions, facilitating the exchange of expertise and practical experience.
  • Interdisciplinary AI Research: We ignite innovation through interdisciplinary research projects, focusing on Medical Imaging and Food Safety. By bringing together experts from diverse fields, we aim to develop pioneering AI solutions that address specific challenges within these domains. These projects leverage collaborative federated learning principles for decentralized healthcare data utilization.

Set Your Expectations

Python

Participants will acquire proficiency in Python, a widely used programming language in the field of artificial intelligence and machine learning

Math. & Statistics

Participants will develop a strong foundation in statistics and mathematics, which are essential for understanding and working with AI and machine learning algorithms

Analytical Thinking

The Autumn School will enhance participants’ analytical thinking skills, which are crucial for problem-solving in AI and machine learning

Acknowledgement

The AI Autumn School, which is part of EEDA, is funded by the DAAD with funds from the Federal Foreign Office.

Partners: University of Bonn, University Hospital Bonn, and Helmholtz Munich in Germany and Beirut Arab University in Lebanon

Endorsed by the Arab-German Young Academy of Sciences and Humanities