京东 11.11 红包
Introduction to Algebraic Geometry and Commutative Algebra
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Algebraic Combinatorics (Spring 2021)
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Computational Commutative Algebra
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Introduction to Haskell
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Introduction To Metric Spaces (IAP 2023)
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Introduction to Lie Theory
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Abstract Linear Algebra (Fall 2021)
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Probabilistic Methods in Discrete Mathematics (Winter 2021)
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Applied Probability and Statistics
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Introduction to Embedded System Design
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Advanced Partial Differential Equations
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Linear Algebra for Data Science (Fall 2020)
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Mathematical Aspects of Quantum Mechanics (Winter 2021)
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The Haskell Unfolder
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Introduction to Quantum Information Science (Fall 2020)
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AI and Graphics (Spring 2021)
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Database Implementation
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Functional Analysis
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Combinatorial Optimization (Fall 2020)
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Statistical Modeling (Spring 2021)
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Foundations of Quantum Mechanics (Winter 2021)
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Probability and Statistics for Data Science
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Kernel and Emulator
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Category Theory
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Intro to Film and Film Theory
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Algorithms (Winter 2020)
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Classical Mechanics (Fall 2020)
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Introduction to the metatheory of type theory
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System Design of a Search Engine (Winter 2021)
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Analysis 1 (Fall 2020)
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Mathematics of Data Science (Spring 2020)
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Numerical Computation
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Geometry of Data (Fall 2023)
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Database System Implementation (Spring 2020)
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An introduction to system programming and C
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Math for DS&ML
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Classical Mechanics 2 (Winter 2010)
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Time Series Analysis (Winter 2021)
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Introduction to Quantum Information Processing (Fall 2020)
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Algebraic and Geometric Optimization (Summer 2013)
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Course on the Statistical Learning Theory (Fall 2020)