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EGN 5447

Mathematical Foundations for Data Science for Engineers I

3 Credits

The first of a two-part series designed to equip students with the essential mathematical skills required in the rapidly evolving field of data science. This course lays a solid groundwork in the fundamentals of linear algebra, probability, and information theory, with a particular emphasis on their relevance and practical applications in data science.

Prerequisites & course information

Grading Scheme: Letter Grade Prerequisite: Undergraduate level statistics, linear algebra, and calculus.

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