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		<title>Course: Introduction to Control and Machine Learning</title>
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		<pubDate>Tue, 10 Mar 2026 22:55:33 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[Akademy Martin Hernandez]]></category>
		<category><![CDATA[Akademy Yongcun Song]]></category>
		<category><![CDATA[Akademy Zhenping Ji]]></category>
		<category><![CDATA[Akademy Ziqi Wang]]></category>
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					<description><![CDATA[Introduction to Control and Machine Learning Master Course – FAU, Friedrich-Alexander-Universität Erlangen–Nürnberg This course explores the deep connections between control theory, dynamical systems, and modern machine learning, highlighting how mathematical tools developed for the analysis of differential equations can help understand and design modern AI systems. Course Overview The course introduces the mathematical foundations of [&#8230;]]]></description>
		
		
		
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