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ESI 4400

Optimization for Engineers: Data-Driven and Classical Approaches

University of Florida 3 credits Chemical Engineering

Course 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. Prerequisite: (STA 2023 or STA 3032) & (COT 3502 or another numerical methods course) & (COP 2273 or COP3502C).

Code
ESI 4400
Credits
3
Subject
Chemical Engineering

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