Theory and Practice of Finite Element Methods (Spring 2021)
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Finite Element Methods (Spring 2021)
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Numerical Methods I (Spring 2020)
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Electromagnetic Field Theory (Spring 2021)
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Programming Language Theory (Fall 2021)
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Introduction to Representation Theory (Spring 2021)
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Algorithmic Game Theory (Winter 2021)
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Data Structures and Algorithms (Spring 2021)
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Introduction to Cognitive Science (Spring 2021)
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Information Theory (Spring 2021)
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Probabilistic Number Theory (Spring 2021)
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Probabilistic Methods in Discrete Mathematics (Winter 2021)
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C++ Programming (Summer 2021)
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Algorithmic Game Theory (Fall 2021)
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Applied Group Theory (Spring 2021)
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Machine Learning Theory (Spring 2021)
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Probabilistic Methods in PDE (Spring 2020)
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Algebra (Spring 2021)
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Advanced Field Theory (Spring 2021)
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Advanced Topics in the Theory of Machine Learning (Spring 2021)
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Stochastic Processes (Spring 2021)
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Graph Theory (Spring 2020)
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Category Theory - Bartosz Milewski
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Model Theory (Spring 2021)
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Statistical Methods: Likelihood, Bayes and Regression (Spring 2021)
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Numerical Analysis (Spring 2021)
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Introduction to Graph Theory (Fall 2020)
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Matrix Theory (Fall 2020)
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Algorithmic Spectral Graph Theory (Winter 2021)
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Introduction to PDEs (Spring 2021)
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Optimization in Machine Learning (Spring 2021)
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Algorithms for Data Science (Spring 2021)
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Monte Carlo Methods (Fall 2020)
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High Performance Computing (Spring 2021)
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Mathematics for Data Science 1 (Spring 2021)
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Introduction to Category Theory (Fall 2020)
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Optimization Algorithms (Spring 2020)
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Parallel Computing with GPUs (Spring 2021)
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Quantum Complexity Theory (Winter 2021)
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Statistical Signal Processing (Spring 2021)
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Nonlinear Dynamics and Chaos (Spring 2021)