Description
This module builds upon the machine thinking in simulation and analysis with a focus on understanding the spatial dynamics that form the built environment around us. Having a well-defined methodology for the description and analysis of buildings and urban space, it introduces students to computational thinking and methods for exploring a broad range of theories and methods of spatial analysis. By investigating spatial morphology and its social implications the module extracts data (social and spatial) that are then used to computationally analyse and experiment with evolutionary spatial designs. The module will deliver the basics of computer scripting and the fundamentals of spatial computation and visual-agent simulation. It will equip students with an understanding of the principles underlying the computation, representation, measurement and analysis of spatial and architectural phenomena that are in the core of space syntax and architectural design. A series of lectures based on case-study examples will showcase how these methods have been utilised in today’s cutting edge spatial simulation and design.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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