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A broad canon of subjects allows the students to acquire fundamental knowledge and practical skills. The basis consists of necessary interdisciplinary basics from physics (electricity, magnetism, mechanics, thermodynamics and kinematics), mathematics (linear algebra, analysis, stochastics and statistics), electrical engineering (digital circuits and circuit technology), computer science (operating systems, object-oriented programming, software engineering, networks), control engineering (systems theory and control engineering) and artificial intelligence (logics, symbolic AI, machine learning). This is complemented by subject-specific knowledge in robotics and the applications of artificial intelligence in robotics.
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