ISE 201 - Math Foundations for Decision and Data Sciences

3 unit(s)
Linear algebra and matrix operations in statistics, optimization and artificial intelligence. Statistical concepts and techniques important for decision and data sciences, with motivation by real-world examples. Basic optimization techniques useful for statistics, classification and neural networks.

Prerequisite(s): Graduate Standing in Engineering.
Grading: Letter Graded

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