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Overview

In this course students will critique discourse, policies, case studies of regional and global computational urbanism and apply computational thinking and methods including a wide range of geospatial data, formats, and modelling to analyse urban sites. At the end of the course students will be able to create digital tools and workflows for the management of urban data by applying proficient skills in programming to address interoperability challenges for urban data management.

Study Level

Undergraduate

Offering Terms

Term 2

Campus

Kensington

Indicative contact hours

6

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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