Parametric Design and Optimization

Description

Parametric Design and Optimization (CEE220C) provides a rigorous foundation in computational design methods that drive contemporary architecture, engineering, and digital fabrication. The course introduces learners to the principles of parametric thinking, contrasting it with traditional direct modeling, and builds proficiency in leading parametric platforms such as Revit/FormIt, Rhino, Dynamo, Grasshopper, and DesignScript. Through hands-on exploration, students learn how parameters, constraints, and rule-based systems can rapidly generate complex 3D geometries and support iterative design workflows.

Building on this modeling foundation, the course advances into single- and multi-dimensional optimization strategies used to evaluate design alternatives based on performance criteria. Students learn how to structure optimization problems, apply guidance strategies, automate design iterations, and integrate quantitative metrics into decision-making. Suitable for architects, engineers, and designers pursuing computational design fluency, the course equips learners with the analytical and technical skills required to design smarter, faster, and more sustainably using data-driven parametric workflows.