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Abstract

Cities are complex human-made objects. They consist of thousands of elements and need to satisfy numerous human needs. The definition of urban form (street network, plots, buildings) is a crucial step in the planning of cities because it has the longest lasting effect on their social, economic and ecological performance. Thus, this step needs to be undertaken with the greatest care. In this course, we will deal with computational analysis methods to support this process. You will learn methods for the quantitative analysis of urban space (such as density, accessibility, visibility) and examine in how far these quantities relate to real-life phenomena such as the distribution of uses in a city, movement patterns of urban users or individual spatial experience.

Learning objectives

The theories and methods you learn in this class provide the basic theoretical and technological framework for urban design.

The knowledge provided through online seminars will be deepened in consultations and documented in several lectures and exercises.

Requirements

The software we will use is McNeel Rhinoceros3D and Grasshopper. No prior knowledge regarding urban design or the use of the software is required.

Course Content

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Introduction & Basics
Parametric Urban Analysis
Learning from Data
Module Content
0% Complete 0/1 Steps

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3 thoughts on “Computational Urban Analysis :: CUA 20.1”

  1. hi. how can i access to this course?
    I need to learn about parametric urban design and have almost a month to learn about it. These courses look wonderful. is it possible if I can have access to related courses?

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