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Faculty of Electrical Engineering and Information Technology
Teaching

MOT - Summer semester 2025

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A group of students are sitting in a lecture hall. © Felix Schmale​/​TU Dortmund
Join us on an exciting journey exploring the connection between statistical signal processing and modern machine learning methods! We will start with physics-based models for estimation and detection, featuring innovative approaches like trilateration and triangulation. Discover how statistical methods, particularly Bayesian approaches, provide not only maximum likelihood estimates but also insights into the reliability of results. Next, we dive into the realm of machine learning, comparing regression and classification with our earlier methods. Finally, we will illuminate how ChatGPT works and the challenges it faces. Come along on this fascinating adventure through theory and application!