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		<title>EECI-IGSC 2025 (M18): Control and Machine Learning</title>
		<link>https://dcn.nat.fau.eu/events/eeci-igsc-2025/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Tue, 22 Oct 2024 11:19:27 +0000</pubDate>
				<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[EECIIGSC2022]]></category>
		<category><![CDATA[M20]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[ML]]></category>
		<category><![CDATA[optimization]]></category>
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					<description><![CDATA[<img width="1200" height="627" src="https://dcn.nat.fau.eu/wp-content/uploads/EECIIGSC2025_EZuazua_MLazar_junJul2025_feb2025.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" fetchpriority="high" srcset="https://dcn.nat.fau.eu/wp-content/uploads/EECIIGSC2025_EZuazua_MLazar_junJul2025_feb2025.png 1200w, https://dcn.nat.fau.eu/wp-content/uploads/EECIIGSC2025_EZuazua_MLazar_junJul2025_feb2025-300x157.png 300w, https://dcn.nat.fau.eu/wp-content/uploads/EECIIGSC2025_EZuazua_MLazar_junJul2025_feb2025-1024x535.png 1024w, https://dcn.nat.fau.eu/wp-content/uploads/EECIIGSC2025_EZuazua_MLazar_junJul2025_feb2025-768x401.png 768w" sizes="(max-width: 1200px) 100vw, 1200px" /> Date: June 30 to July 4, 2025 Event: IEECI-IGSC 2025: International Graduate School on Control 2025 Module Control and Machine Learning (M18 DUBROVNIK) Speakers: • Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg • Prof. Martin Lazar. University of Dubrovnik Outline • Historical preliminaries • Control of linear finite-dimensional systems • The universal approximation theorem • Control [&#8230;]]]></description>
		
		
		
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		<title>Tutorial lecture series on &#8220;Advanced Topics Systems Control&#8221;</title>
		<link>https://dcn.nat.fau.eu/events/tutorial-lecture-series-on-advanced-topics-systems-control/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Tue, 21 Nov 2023 04:09:54 +0000</pubDate>
				<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[EECIIGSC2022]]></category>
		<category><![CDATA[M20]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[ML]]></category>
		<category><![CDATA[optimization]]></category>
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					<description><![CDATA[<img width="1200" height="627" src="https://dcn.nat.fau.eu/wp-content/uploads/tutorialSysCntrl_EZuazua_nov2023.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" srcset="https://dcn.nat.fau.eu/wp-content/uploads/tutorialSysCntrl_EZuazua_nov2023.png 1200w, https://dcn.nat.fau.eu/wp-content/uploads/tutorialSysCntrl_EZuazua_nov2023-300x157.png 300w, https://dcn.nat.fau.eu/wp-content/uploads/tutorialSysCntrl_EZuazua_nov2023-1024x535.png 1024w, https://dcn.nat.fau.eu/wp-content/uploads/tutorialSysCntrl_EZuazua_nov2023-768x401.png 768w" sizes="(max-width: 1200px) 100vw, 1200px" /> On November 23 &#8211; 27, our Head Prof. Enrique Zuazua is giving a historical introduction to Control and Machine Learning and then talking on control of finite dimensional systems and Supervised Learning by Control Methods at the Tutorial lecture series on &#8220;Advanced Topics Systems Control&#8221; organized (online) from November 23 to December 29 with the [&#8230;]]]></description>
		
		
		
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		<title>EECI-IGSC 2024: Control and Machine Learning</title>
		<link>https://dcn.nat.fau.eu/events/eeci-igsc-2024/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 04 Oct 2023 08:36:54 +0000</pubDate>
				<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[EECIIGSC2022]]></category>
		<category><![CDATA[M20]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[ML]]></category>
		<category><![CDATA[optimization]]></category>
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					<description><![CDATA[<img width="1200" height="627" src="https://dcn.nat.fau.eu/wp-content/uploads/eeciIgsc2024_eZuazua_mLazar.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" srcset="https://dcn.nat.fau.eu/wp-content/uploads/eeciIgsc2024_eZuazua_mLazar.png 1200w, https://dcn.nat.fau.eu/wp-content/uploads/eeciIgsc2024_eZuazua_mLazar-300x157.png 300w, https://dcn.nat.fau.eu/wp-content/uploads/eeciIgsc2024_eZuazua_mLazar-1024x535.png 1024w, https://dcn.nat.fau.eu/wp-content/uploads/eeciIgsc2024_eZuazua_mLazar-768x401.png 768w" sizes="(max-width: 1200px) 100vw, 1200px" /> Next year, Prof. Enrique Zuazua (FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Martin Lazar (University of Dubrovnik) will talk on &#8220;Control and Machine Learning&#8221; (M18 DUBROVNIK module) on July 1-5, 2024 at the IEECI-IGSC 2024: International Graduate School on Control 2024 organized by EECI – European Embedded Control Institute and IEEE CSS and IFAC &#8211; International [&#8230;]]]></description>
		
		
		
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		<title>Math Crash Course</title>
		<link>https://dcn.nat.fau.eu/math-crash-course/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 01 Jun 2023 07:58:38 +0000</pubDate>
				<category><![CDATA[2023-resources]]></category>
		<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Michael Schuster]]></category>
		<category><![CDATA[Course]]></category>
		<category><![CDATA[Resources]]></category>
		<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[mathematics]]></category>
		<category><![CDATA[Maths]]></category>
		<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[Modeling]]></category>
		<category><![CDATA[neural networks]]></category>
		<category><![CDATA[optimization]]></category>
		<category><![CDATA[simulation]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=26947</guid>

					<description><![CDATA[Math Crash Course FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: 2023 _ The math final exams are coming up and you&#8217;re still unsure? Don&#8217;t worry, with our Math Abi Crash Course, we can support you in mastering the Math Abi! In this course, we will work together on past year&#8217;s exam tasks with a focus [&#8230;]]]></description>
		
		
		
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		<title>Course: Wave Phenomena</title>
		<link>https://dcn.nat.fau.eu/course-wave-phenomena/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 13 Apr 2023 11:13:50 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
		<category><![CDATA[EZuazua Events]]></category>
		<category><![CDATA[applied mathematics]]></category>
		<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[E. Zuazua]]></category>
		<category><![CDATA[Enrique Zuazua]]></category>
		<category><![CDATA[fau]]></category>
		<category><![CDATA[FAU DCN-AvH]]></category>
		<category><![CDATA[Master degree]]></category>
		<category><![CDATA[N. De Nitti]]></category>
		<category><![CDATA[Nicola De Nitti]]></category>
		<category><![CDATA[Numerics]]></category>
		<category><![CDATA[wave]]></category>
		<category><![CDATA[Wave phenomena]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=28248</guid>

					<description><![CDATA[Course: Wave Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 summer semester Date: April &#8211; July 2023 Location: FAU. Master&#8217;s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: &#8211;]]></description>
		
		
		
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		<title>Course: Scalar Conservation Laws</title>
		<link>https://dcn.nat.fau.eu/course-scalar-conservation-laws-2023/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 13 Apr 2023 11:13:29 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
		<category><![CDATA[EZuazua Events]]></category>
		<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[E. Zuazua]]></category>
		<category><![CDATA[Enrique Zuazua]]></category>
		<category><![CDATA[fau]]></category>
		<category><![CDATA[FAU DCN-AvH]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Master degree]]></category>
		<category><![CDATA[ML]]></category>
		<category><![CDATA[Numerics]]></category>
		<category><![CDATA[Y. Song]]></category>
		<category><![CDATA[Yongcun Song]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=28245</guid>

					<description><![CDATA[Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, , Nicola De Nitti Period: 2022/2023 summer semester Date: April &#8211; July 2023 Location: FAU. Master&#8217;s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: &#8211;]]></description>
		
		
		
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		<item>
		<title>Course: Mathematical Modeling in the Life Sciences</title>
		<link>https://dcn.nat.fau.eu/course-mathematical-modeling-in-the-life-sciences-2022/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 13 Oct 2022 11:13:59 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
		<category><![CDATA[EZuazua Events]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[E. Zuazua]]></category>
		<category><![CDATA[Enrique Zuazua]]></category>
		<category><![CDATA[fau]]></category>
		<category><![CDATA[FAU DCN-AvH]]></category>
		<category><![CDATA[life sciences]]></category>
		<category><![CDATA[Master degree]]></category>
		<category><![CDATA[mathematics]]></category>
		<category><![CDATA[N. De Nitti]]></category>
		<category><![CDATA[Nicola De Nitti]]></category>
		<category><![CDATA[Numerics]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=28255</guid>

					<description><![CDATA[Course: Mathematical Modeling in the Life Sciences Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 &#8211; March 2023 Location: FAU. Master&#8217;s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: &#8211;]]></description>
		
		
		
			</item>
		<item>
		<title>Course: Transport Phenomena</title>
		<link>https://dcn.nat.fau.eu/course-transport-phenomena-2022/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 13 Oct 2022 11:13:08 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
		<category><![CDATA[EZuazua Events]]></category>
		<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[E. Zuazua]]></category>
		<category><![CDATA[Enrique Zuazua]]></category>
		<category><![CDATA[fau]]></category>
		<category><![CDATA[FAU DCN-AvH]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Master degree]]></category>
		<category><![CDATA[ML]]></category>
		<category><![CDATA[Numerics]]></category>
		<category><![CDATA[Y. Song]]></category>
		<category><![CDATA[Yongcun Song]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=28252</guid>

					<description><![CDATA[Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 &#8211; March 2023 Location: FAU. Master&#8217;s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: &#8211;]]></description>
		
		
		
			</item>
		<item>
		<title>Course: A Practical Introduction to Control, Numerics, and Machine Learning (IFAC CPDE 2022)</title>
		<link>https://dcn.nat.fau.eu/course-a-practical-introduction-to-control-numerics-and-machine-learning-ifac-cpde-2022/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 07 Sep 2022 14:48:17 +0000</pubDate>
				<category><![CDATA[2022-resources]]></category>
		<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Daniël Veldman]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[Course]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
		<category><![CDATA[Resources]]></category>
		<category><![CDATA[Control]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[mathematics]]></category>
		<category><![CDATA[Maths]]></category>
		<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[Modeling]]></category>
		<category><![CDATA[neural networks]]></category>
		<category><![CDATA[optimization]]></category>
		<category><![CDATA[simulation]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=22073</guid>

					<description><![CDATA[Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is a general introduction to important [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Practical course: Modeling, simulation, optimization</title>
		<link>https://dcn.nat.fau.eu/practical-course-modeling-simulation-optimization/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Mon, 13 Jun 2022 19:44:45 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Daniël Veldman]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[mathematics]]></category>
		<category><![CDATA[Maths]]></category>
		<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[Modeling]]></category>
		<category><![CDATA[optimization]]></category>
		<category><![CDATA[simulation]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=19760</guid>

					<description><![CDATA[Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course provides a practical introduction to some of the most commonly used discretization methods for PDEs (finite differences and finite elements) and their implementation in MATLAB. It also covers some of the basics of gradient-based optimization focused on the [&#8230;]]]></description>
		
		
		
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