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Dec 26, 2024
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ISE 201 - Math Foundations for Decision and Data Sciences 3 units 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: Graded
Class Schedule | Syllabus Information | University Bookstore
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