Key Lectures for Data & Design & Computation

 

Key Lectures

Class A - Data & Design(Long) (Short)
Keywords: design, research, development projects, 

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Class B - Visual Computation for Design 
Keywords: Vector, Raster, data structures

Class C - Visual AI(ML) for Design 
Keywords: AI & Machine learning-aided design

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Class D - Introduction to Computation and Design [Book]
Keywords: Computational Thinking, Design process

 

Class E - Introduction to Data(AI) and Design(Research) [Book]

Keywords: AI, ML, Visualization, Data process, Design process

 

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Key Workshops

Course 1 Numerical Description as Design Tools

Introduction to Computational Design

Keywords: Python, Typescript, C#, Grasshopper, Geometry, Primitive data

 

Course 2 Algorithm & Data Structure for Design & Research

Introduction to Advanced Computation for Design & Research

Keywords: Spatial Data and Structure, Geometry, Custom data 

 

Course 3 Data(AI) & Design(Research)

Data-driven design research

Keywords: GIS for design, Urban data, Vector data, Raster data, Geometry

 

Course 4 Thesis: Design Research

Independent research: 

Keywords: Architecture, Landscape Architecture, Urban Design, Product Design, UI UX ...

 

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