Mathematics of Data Science (Spring 2020)
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Data Science and Machine Learning (Spring 2021)
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Mathematics for Data Science 1 (Spring 2021)
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Introduction to Cognitive Science (Spring 2021)
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Mathematics for Data Science 2 (Fall 2020)
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Algorithms for Data Science (Spring 2021)
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Mathematical Tools for Data Science (Spring 2021)
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Advanced Microcontroller Design (Fall 2020)
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Cloud Computing and Big Data (Fall 2020)
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Graduate Data Structures (Spring 2021)
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Domain-Specific Languages of Mathematics (Spring 2022)
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Statics and Mechanics of Materials (Spring 2020)
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Optimization Algorithms (Spring 2020)
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Artificial Intelligence (Spring 2021)
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Classical Mechanics (Fall 2020)
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Mathematical Data Science (Summer 2020)
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Extremal Combinatorics (Spring 2020)
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Statistical Signal Processing (Spring 2021)
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Nonlinear Dynamics and Chaos (Spring 2021)
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Intro to Topology (Spring 2021)
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Numerical Analysis (Spring 2021)
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Computational Methods in Engineering (Spring 2020)
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Data Science and Engineering (Spring 2021)
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Combinatorics (Spring 2021)
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Mathematical Logic (Fall 2020)
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Topology (Fall 2020)
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Linear Algebra for Data Science (Fall 2020)
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Functional Analysis (Spring 2021)
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Algebra (Spring 2021)
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4D Topology (Spring 2021)
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Computational Topology (Spring 2021)
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Linear Optimization (Spring 2018)
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Tensor Computations (Fall 2020)
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Mathematical Engineering of Deep Learning (Spring 2021)
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Matrix Theory (Fall 2020)
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Graph Theory (Spring 2020)
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Analysis 1 (Fall 2020)
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Topics in Real Analysis (Fall 2020)
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Signals and Systems (Spring 2021)
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History of Analytic Philosophy (Spring 2021)
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Introduction to Analysis (Summer 2020)