Simulating occupancy

  • by Danil
  • Course level: Expert


This session provides an introduction to occupancy simulation using a custom set of tools developed for Grasshopper. Students will learn how to simulate behavior in space by modeling a system of possible walking paths in their model, and then calculating shortest paths between pairs of locations. They will also get a theoretical background in network analysis and how it can be used in performance-driven design.

Topics for this course

2 Lessons01h 33m 19s

Simulating occupancy

Demo: Introduction to graph theory00:25:44
Demo: Simulating shortest paths with NetworkX01:07:35

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

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