On 17 June 2026, as part of the ACTI-K² Summer School 2026, supported by the German Academic Exchange Service (DAAD), with funding from the German Federal Ministry of Research, Technology and Space (BMFTR), and jointly organised by Kherson State Agrarian and Economic University (KSAEU) and Kiel University (CAU), participants attended a lecture delivered by Prof. Dr. Sören Christensen, Professor of Stochastics at the Faculty of Mathematics and Natural Sciences at CAU, dedicated to the topic Introduction to Deep Learning.
Understanding Deep Learning
During the lecture, participants were introduced to the fundamental concepts of deep learning and its growing role in modern data science. Prof. Dr. Sören Christensen explained how deep learning methods enable computers to identify patterns in large amounts of data, make predictions and support decision-making processes across various fields.
The session provided an overview of how artificial intelligence and machine learning technologies are applied to solve complex real-world problems, from image recognition and language processing to scientific research and business analytics.
Deep Learning in Practice
Through examples and discussion, participants gained insights into the practical applications of deep learning and its importance in today’s data-driven world. The lecture highlighted both the opportunities and challenges associated with developing intelligent systems and demonstrated how statistical thinking remains an essential foundation for modern artificial intelligence.
We sincerely thank Prof. Dr. Sören Christensen for his engaging and insightful lecture. His presentation provided participants with a valuable introduction to deep learning and offered a deeper understanding of one of the most rapidly developing areas of contemporary data science.
