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ESI 6407

Optimization for Engineers: Data-Driven and Classical Approaches

3 Credits

Applied optimization with emphasis on rigorous problem formulation, theoretical foundations, and advanced algorithms. Data-driven optimization approaches integrating data and models for decision-making are examined in depth. Intended for graduate engineers and researchers, the course includes advanced exercises and applications in engineering.

Prerequisites & course information

Grading Scheme: Letter Grade Prerequisite: Calculus, linear algebra, statistics, numerical methods, and ability to code in python.

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