2024 - 2025 Undergraduate Catalog
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COMP 3800 - Mathematics for Data Science (3) This course introduces fundamentals of different mathematical theories and models required for understanding Data Science related algorithms and applications. The course includes selected topics from statistics,
hypothesis tests, probability distributions, Bayes’ theorem, linear algebra, matrix decomposition, graphs and trees. The course will briefly relate mathematical theories and models to Data Science applications to provide necessary foundation and preparation for higher level courses on Data Science and Machine Learning. Prerequisite(s): MATH 2050 or MATH 3100 or STAT 3110 or MATH 3610 or MATH 2010.
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