ESI 4400
Optimization for Engineers: Data-Driven and Classical Approaches
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.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: ( STA 2023 or STA 3032 ) & ( COT 3502 or another numerical methods course) & ( COP 2273 or COP3502C).
Sources
- Course catalogue ↗2025-2026