Stochastic Modelling (Spring 2020)（部分）
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Stochastic Processes (Spring 2021)
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Optimization Algorithms (Spring 2020)
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Random Variables and Stochastic Processes (Spring 2021)
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Data Structures and Algorithms (Spring 2021)
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Mathematics of Data Science (Spring 2020)
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Stochastic Control with Applications to Finance (Winter 2018)
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Computational Topology (Spring 2021)
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Algebra (Spring 2021)
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Applied Stochastic Processes (Fall 2016)
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Algorithms for Data Science (Spring 2021)
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Introduction to PDEs (Spring 2021)
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Extremal Combinatorics (Spring 2020)
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Randomized Algorithms (Spring 2020)
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Analytical and Nonlinear Dynamics (Spring 2020)
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Introduction to Analysis (Summer 2020)
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Mathematics of Machine Learning (Spring 2021)（部分）
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Numerical Analysis (Spring 2021)
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AI and Graphics (Spring 2021)
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Introduction to Logic for Computer Science (Spring 2020)
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Lie Groups and Lie Algebras 2 (Spring 2020)
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Electromagnetic Field Theory (Spring 2021)
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Software Construction (Spring 2021)
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Parallel Computing with GPUs (Spring 2021)
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Parallel Computer Architecture and Programming (Spring 2018)
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Computational Methods in Engineering (Spring 2020)
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Database System Implementation (Spring 2020)
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Mathematical Tools for Data Science (Spring 2021)
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Probabilistic Number Theory (Spring 2021)
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Systems Programming (Spring 2021)
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Statistical Learning Theory (Spring 2021)
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Simulating Stochastic Systems (Fall 2020)
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Artificial Intelligence (Spring 2021)
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Statistical Signal Processing (Spring 2021)
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Graph Theory (Spring 2020)
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Bayesian Machine Learning and Information Processing (Fall 2020)
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Probabilistic Methods in PDE (Spring 2020)
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Mathematics for Data Science 2 (Fall 2020)
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Learning in Graphical Models (Spring 2021)
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Linear Optimization (Spring 2018)
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Further Topics in Probability (Spring 2021)