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Opening speech
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Part I: Coherent Structures
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Lecture 1 - Analysis, Modeling and Control of the Cylinder Wake
Prof. Bernd R. Noack, Harbin Institute of Technology, Shenzhen, China and TU Berlin, Germany
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Lecture 2 - Coherent Structures in Turbulent Flows
Prof. Javier Jiménez, Universidad Politecnica de Madrid, Spain
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Lecture 3 - The Proper Orthogonal Decomposition
Prof. Scott T.M. Dawson, Illinois Institute of Technology, USA
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Lecture 4 - The Dynamic Mode Decomposition: From Koopman Theory to Applications
Prof. Peter J. Schmid, Imperial College London, UK
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Part II: Mathematical Analysis
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Lecture 5 - Mathematical Tools, Part I: Continuous and Discrete LTI Systems
Prof. Miguel A. Mendez, von Karman Institute for Fluid Dynamics, Belgium
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Lecture 6 - Mathematical Tools, Part II: Time-Frequency Analysis
Prof. Stefano Discetti, Universidad Carlos III de Madrid, Spain
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Lecture 7- Generalized and Multiscale Data-Driven Modal Analysis
Prof. Miguel A. Mendez, von Karman Institute for Fluid Dynamics, Belgium
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Lecture 8 - Applications and Good Practice
Prof. Andrea Ianiro, Universidad Carlos III de Madrid, Spain
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Part III: Dynamical Systems
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Lecture 9 - Modern Tools for the Stability Analysis of Fluid Flows
Prof. P.J. Schmid, Imperial College London, UK
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Lecture 10 - Linear Dynamical Systems and Control
Prof. Scott T.M. Dawson, Illinois Institute of Technology, USA
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Lecture 11 - Nonlinear Dynamical Systems
Prof. Steven L. Brunton, University of Washington, USA
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Lecture 12 - Methods for System Identification
Prof. Steven L. Brunton, University of Washington, USA
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Part IV: Reduced Order Modeling
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Lecture 13 - Introduction to Machine Learning Methods
Prof. Steven L. Brunton, University of Washington, USA
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Lecture 14 - Machine Learning in Fluids: Pairing Methods with Problems
Prof. Steven L. Brunton, University of Washington, USA
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Lecture 15 - Machine Learning for Reduced-Order Modeling
Prof. Bernd R. Noack, Harbin Institute of Technology, Shenzhen, China and TU Berlin, Germany
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Lecture 16 - Advancing Reacting Flow Simulations with Data-Driven Models: Chemistry Accelerations and Reduced-Order Modelling
Prof. Alessandro Parente, Université Libre de Bruxelles, Belgium
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Part V: Control, Closures and Perspectives
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Lecture 17 - Reduced-Order Modeling for Aerodynamic Applications and MDO
Dr. Stefan Görtz, German Aerospace Center (DLR), Germany
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Lecture 18 - Machine Learning for Turbulence Control
Prof. Bernd R. Noack, Harbin Institute of Technology, Shenzhen, China and TU Berlin, Germany
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Lecture 19 - The Computer as Turbulence Researcher
Prof. Javier Jiménez, Universidad Politecnica de Madrid, Spain
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Round Table
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