Probability and Statistics for Data Science (Fall 2021)
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Applied Probability and Statistics (Fall 2020)
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Abstract Algebra (Fall 2020)
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Advanced Data Structures (Fall 2021)
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Intro to Data Structures and Algorithms (Fall 2020)
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Discrete Mathematics and FP in Coq (Fall 2020)
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Fuzzy Sets, Logic and Systems (Fall 2019)
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Computational Learning Theory (Fall 2021)
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Algorithms for Big Data (Fall 2020)
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Analysis 1 (Fall 2020)
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Further Topics in Probability (Spring 2021)
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Structural Graph Theory (Fall 2021)
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Time Series Analysis (Winter 2021)
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Applied Stochastic Processes (Fall 2016)
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Introduction to Category Theory (Fall 2020)
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Applied Numerical Algorithms (Fall 2023)
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Electromagnetic Field Theory (Spring 2021)
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Probabilistic Methods in Discrete Mathematics (Winter 2021)
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Nonlinear Optimization (Fall 2020)
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