Quantum Complexity Theory (Winter 2021)
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Introductory Quantum Computing
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Mathematical Aspects of Quantum Mechanics (Winter 2021)
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Data Structures and Algorithms (Spring 2021)
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Optimization Methods (Winter 2021)
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Electromagnetic Field Theory (Spring 2021)
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Probabilistic Methods in Discrete Mathematics (Winter 2021)
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Introduction to Lie Theory
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Quantum Channels (Spring 2021)
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Algebra 2
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Theory of Molecular Computation (Winter 2021)
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Probability and Measure (Winter 2022)
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Computation and Optimization for Statistics (Spring 2021)
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Stochastic Processes (Spring 2021)
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Algorithms for Data Science (Spring 2021)
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Algorithmic Game Theory (Fall 2021)
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Graduate Real Analysis 1 (Fall 2023)
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Measure Theory (Fall 2020)
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Algorithms and Uncertainty (Summer 2021)
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Bandit Algorithms and Online Learning (Fall 2021)
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Advanced Formal Language Theory (Spring 2022)
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Category theory for JavaScript programmers
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Introduction to Category Theory (Fall 2020)
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Differential Galois Theory (Summer 2020)
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Foundations of Reinforcement Learning (Fall 2021)
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Advanced Topics in Quantum Information Theory (Spring 2021)
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Computational Commutative Algebra
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Advanced Field Theory (Spring 2021)
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Statistical Inference (Spring 2021)
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Introduction to PDEs (Spring 2021)
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Mathematical Engineering of Deep Learning (Spring 2021)
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Advanced Topics in Quantum Information Theory (Spring 2020)
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Learning in Graphical Models (Spring 2021)
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Combinatorial Mathematics (Winter 2021)
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Course on the Statistical Learning Theory (Fall 2020)
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Category Theory
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Introduction to Representation Theory (Spring 2021)
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Theory and Practice of Finite Element Methods (Spring 2021)
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Advanced Quantum Theory 2020
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Information Theory (Spring 2021)