ISE 201 - Math Foundations for Decision and Data Sciences
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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