京东 11.11 红包
Introduction to Quantum Information Science (Fall 2020)
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Introduction to Quantum Information Processing (Fall 2020)
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Advanced Topics in Quantum Information Theory (Fall 2020)
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Bayesian Machine Learning and Information Processing (Fall 2020)
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Graduate Introduction to Cognitive Science (Fall 2020)
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Introduction to Logic for Computer Science (Spring 2020)
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General Topology (Fall 2020)
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Introduction to Optimization (Fall 2020)
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Measure Theory (Fall 2020)
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General Field Theory (Fall 2020)
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Matrix Theory (Fall 2020)
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Software Design (Fall 2020)
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Calculus on Manifolds (Fall 2020)
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Introduction to Operating Systems (Summer 2020)
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History of Industrial Design (Fall 2020)
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Advanced Algorithms (Fall 2021)
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Mathematics of Signal Processing (Fall 2020)
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Mathematical Computer Graphics (Fall 2020)
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Analysis 1 (Fall 2020)
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Computer Networks (Fall 2020)
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Art History (Fall 2020)
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Quantum Physics for Non-Physicists (Fall 2020)
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Probability and Info Theory in Machine Learning (Fall 2020)
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Introduction to Algebraic Geometry and Commutative Algebra
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Algorithms for Data Science (Spring 2021)
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Monte Carlo Methods (Fall 2020)
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Combinatorial Optimization (Fall 2020)
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Introduction to Lie Theory
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Information Theory (Spring 2021)
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Mathematics of Data Science (Spring 2020)
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Introduction to Haskell
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Fuzzy Sets, Logic and Systems (Fall 2019)
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Introduction to Quantum Physics (Summer 2020)
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Symmetry in Physics (Fall 2020)
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Introduction to Graph Theory (Fall 2020)
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Concurrent Programming (Fall 2020)
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Network Optimization (Fall 2018)
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Introduction to Category Theory (Fall 2020)
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Mathematics for Data Science 2 (Fall 2020)
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Autonomous Vehicle System Engineering (Fall 2020)
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Randomized Algorithms (Fall 2022)