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Daniel Precioso, PhD
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Split PDE modules in syllabus
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syllabus.qmd

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## Program
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This site is organized around **eight core modules** plus one extra Lorenz attractor module.
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This site is organized around **nine core modules** plus one extra Lorenz attractor module.
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The sidebar navigation is the ground-truth order for the material, and this page follows the same structure.
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Represent systems as graphs with `networkx`. You measure connectivity and centrality, generate standard graph models, and simulate SIS and SIR spreading on synthetic and real networks.
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### Partial Differential Equations
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### PDEs in 1D
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Discretize reaction-diffusion systems in one and two spatial dimensions. You build Laplacians with finite differences, study Turing instability, and simulate Gierer-Meinhardt and Gray-Scott pattern formation.
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Discretize reaction-diffusion systems on an interval. You build finite-difference Laplacians, apply boundary conditions, study Turing instability, and use the linearized mode picture to predict which spatial patterns should grow.
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### PDEs in 2D
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Extend the same workflow to rectangular grids. You reuse the vectorized solver structure in two spatial dimensions, compare boundary conditions, and simulate Gierer-Meinhardt and Gray-Scott pattern formation.
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### Cellular Automata
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