ESI 6407
Optimization for Engineers: Data-Driven and Classical Approaches
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.
Sources
- Course catalogue ↗2025-2026