Optimization for Engineers: Data-Driven and Classical Approaches

Catalog description

Fundamentals of applied optimization with emphasis on problem formulation. Core algorithms and theoretical foundations are introduced alongside data-driven optimization approaches that integrate data and models for decision-making. Designed for engineers and researchers, the course includes hands-on exercises and applications in engineering areas such as process design, systems biology, and sustainability.