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README.md

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@@ -34,7 +34,7 @@ This student-led course explores modern techniques for controlling — and learn
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| 7 | 10/03/2025 | Lecture | Essentials of PDEs for control engineers; weak forms; FEM/FDM review | |
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| 8 | 10/10/2025 | **External seminar 2** TBD (speaker to be confirmed) | Topology **optimization** | |
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| 9 | 10/17/2025 | **External seminar 3 — François Pacaud** | GPU-accelerated optimal control | |
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|10 | 10/24/2025 | Lecture | Physics-Informed Neural Networks (PINNs): formulation & pitfalls | |
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|10 | 10/24/2025 | Lecture - Michael Klamkin | Physics-Informed Neural Networks (PINNs): formulation & pitfalls | |
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|11 | 10/31/2025 | **External seminar 4** - Chris Rackauckas | Neural Differential Equations: PINNs + classical solvers | |
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|12 | 11/07/2025 | Lecture | Neural operators (FNO, Galerkin Transformer); large-scale surrogates | |
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|13 | 11/14/2025 | **External seminar 5** - Charlelie Laurent | Scalable PINNs / neural operators; CFD & weather applications | |

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