In this lecture series, we focus on the fundamental concepts from mathematics and computer science that are essential for computational generative design. The aim of the series is not to traditionally teach all there is to a subject but to pass an intuition and trigger an interest for learning more from other resources. The slides, lecture notes, or the workshop notes of these lectures are to be shared as open-access learning materials here.
Overview of the playlist
|Participatory Generative Design Methodology in Architecture||In this lecture we discusses the aim, theoretical underpinnings, and the practice of the scientific method in systematic exploration/itemization and/or systematic deduction/derivation in [architectural] design given measurable functional or performance objectives and physical constraints.||Watch||Notes|
|Preliminaries of Geometry & Topology for Computational Design||In this lecture, we talk about the essentials of geometry and topology for computational design.||Watch||Notes|
|Preliminaries of Linear Algebra for Computational Design||In this lecture, we talk about the essentials of linear algebra and computer graphics for computational design||Watch||Notes|
|Graphs & Scalar Fields||In this lecture, we talk about graphs and fields as mathematical representation of shapes and their application in Generative Design.||Watch||Notes|
|A Topological Way of Designing Buildings||In this lecture, we talk about configurative design methodology for ensuring an effective network structure in buildings.||Watch||Notes|