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+layout: post
+title: "Workshop: Advanced Computational Methods at Carnegie Mellon University"
+author: Matt McKay
+excerpt: "QuantEcon delivered a short course on advanced computational methods for economics at Carnegie Mellon University."
+tag: [workshop]
+---
+
+QuantEcon co-founder [John Stachurski](https://johnstachurski.net/) delivered a short course on **Advanced Computational Methods** at Carnegie Mellon University from April 13-17, 2026.
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+The course covered techniques for solving economic models more efficiently using modern algorithms and computational tools, including:
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+- high-performance Python with Numba and JAX
+- parallel computing, illustrated with Schelling's segregation model
+- artificial neural networks and deep learning applications
+- dynamic programming, decision-making under uncertainty, and reinforcement learning
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+Workshop materials are available on [GitHub](https://github.com/QuantEcon/cmu_2026).
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