Visualizing Generative Design

  • by Danil
  • Course level: Beginner

Description

Because Generative Design is a new design approach, it requires new forms of visualization to communicate the logic of the generative model and visualize the behavior of the optimization algorithm as it finds the optimal designs. This session will review a variety of visualization approaches based on examples from industry. It will also demonstrate a set of standard visualization techniques including generational composites, time-based plots, parallel plots, scatter plots, and design animations.

This session will conclude with a discussion of current developments in Generative Design and a forecast of the near future of design automation based on recent developments in Machine Learning and AI.

Topics for this course

4 Lessons56m 15s

Visualizing Generative Design

Demo: Annotated scatter plots with Adobe Illustrator00:14:18
Demo: Animating the design space with Adobe AfterEffects00:19:41
Demo: Creating GIF’s with Adobe Photoshop00:09:45
Demo: Creating composites with Python00:12:31

About the instructors

Danil Nagy is a designer, developer, and entrepreneur focusing on applications of computational design and automation for the building industries. His expertise includes computational geometry, digital fabrication, simulation, optimization, machine learning, and data visualization. Danil teaches at the Graduate School of Architecture, Planning and Preservation (GSAPP) at Columbia University in New York, where his courses focus on architectural visualization, generative design, and applications of artificial intelligence. Danil was formerly a Principal Research Scientist at Autodesk Research. He is the founder of Colidescope, a consultancy focused on bringing digital transformation tools to the Architecture, Engineering, and Construction (AEC) industries.
4.67 (3 ratings)

16 Courses

132 students

Material Includes

  • An hour of on-demand video
  • Downloadable demo files to follow along with video tutorials

Requirements