EGN 5447
Mathematical Foundations for Data Science for Engineers I
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.
Sources
- Course catalogue ↗2025-2026