Optimization Algorithms (Spring 2020)
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Numerical Methods I (Spring 2020)
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Optimization for AI (Fall 2020)
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Advanced Numerical Algorithms (Spring 2024)
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Algebra (Spring 2021)
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Systems Software (Spring 2024)
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Algorithms in Machine Learning (Fall 2020)
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Optimization in Machine Learning
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Randomized Algorithms (Spring 2020)
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Nonlinear Optimization (Fall 2020)
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AI and Graphics (Spring 2021)
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Computational Methods in Engineering (Spring 2020)
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Mathematical Optimization (Winter 2021)
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Software Construction (Spring 2021)
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Introduction to Optimization (Fall 2020)
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Linear Optimization (Spring 2018)
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Theory and Practice of Finite Element Methods (Spring 2021)
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Combinatorial Algorithms (Spring 2021)
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Graph Algorithms (Winter 2021)
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Computation and Optimization for Statistics (Spring 2021)
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Systems Programming (Spring 2021)
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Advanced Algorithms (Fall 2021)
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Electromagnetic Field Theory (Spring 2021)
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Random Variables and Stochastic Processes (Spring 2021)
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Parallel Computing with GPUs (Spring 2021)
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Computational Topology (Spring 2021)
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Integer Optimization (Spring 2019)
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Intro to Data Structures and Algorithms (Fall 2020)
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Classical Mechanics (Fall 2020)
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Matrix Theory (Fall 2020)
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Introduction to Analysis (Summer 2020)
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Mathematics for Data Science 1 (Spring 2021)
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Mathematics of Data Science (Spring 2020)
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Introduction to Graph Theory (Fall 2020)
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Algorithms (Winter 2020)
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Network Optimization (Fall 2018)
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Introduction to Category Theory (Fall 2020)
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Cloud Computing and Big Data (Fall 2020)
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Advanced Topics in the Theory of Machine Learning (Spring 2021)
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Stochastic Calculus (Fall 2020)
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Unsupervised Learning (Spring 2024)