The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.
Explore some of this Open Access research from the Departments of Architecture.
Dawid, Rafael and McMillan, David and Revie, Matthew; Daigle, Matthew J. and Bregon, Anibal, eds. (2015) Review of Markov models for maintenance optimization in the context of offshore wind. In: Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015. PHM Society, USA, pp. 269-279. ISBN 9781936263202
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