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This microcredential investigates how advanced digital tools can be used to better understand, and consequently design, future cities so they are more robust in the face of an ever-changing climate. Using 3D software (Rhino 3D), parametric software (Grasshopper 3D) and generative and evolutionary software (Wallacei), you’ll explore the challenges associated with solving complex design problems that are inherent to the design of urban settlements.
To do it, you’ll use an approach that prioritises the process (i.e. how the design problem is formulated) rather than the end product (i.e. the actual design solution). This approach starts by exploring the processes of adaptation in biological systems in nature, where continual change is the norm. This allows us to reflect on the nature of the design problem in the city and its evolution.
Throughout the microcredential you will engage with varying computational methods to better understand what constitutes a ‘design problem’ and to identify the most efficient approach to formulate the problem in order to generate the most optimal results.
Successfully completing the microcredential will equip participants with:
This microcredential aligns with the 3 credit point subject, Advanced Digital Tools for City Design (80112), in the Master of Technology.
This microcredential may qualify for recognition of prior learning at this and other institutions.
The microcredential is for design professionals and academics in the built environment who want to advance their knowledge of computational methods and systems, as well as gain an understanding of the application of cutting edge computational algorithmic principles for the development of urban settlements.
Full price: $2,500.00 (GST-free)*
Special price: $1,500.00 (GST free)*
To help you build future-focused skills during COVID-19, this course is currently offered at a reduced rate of $1,500.00 (full price $2,500.00).
* Price subject to change. Please check price at time of purchase.
COVID-19 response
Using Rhino 3D and Grasshopper 3D, you’ll work with other students in the course to develop a parametric computational model of an urban block. You’ll also run your own evolutionary simulations using Wallacei to evolve a population of urban design solutions, which you’ll then analyse using both statistical and visual methods.
Course content is split across three learning outcomes:
Face-to-face learning through the use of digital tools
By the end of this microcredential, participants will:
Mandatory
Catering
Learn about the digital tools that facilitate the design of urban processes in the built environment. [16 days, avg 4 hrs/day]
Learn to represent and understand architectural design by producing a real-time visualisation model. [16 days, avg 4 hrs/day]
Use 1:1 prototyping to design feedback loops between computational design and robotic fabrication. [16 days, avg 4 hrs/day]
Combine imaging software and video with urban-sourced qualitative data to design future cities. [16 days, avg 4 hrs/day]
Learn fundamental principles and project applications of architectural lighting design. [16 days, avg 4 hrs/day]
Use digital modelling, structural analysis and robotic fabrication to explore complex geometries. [16 days, avg 4 hrs/day]
Access and manipulate open GIS data sources for architectural, engineering and construction projects. [16 days, avg 4 hrs/day]
Explore the practical applications and integration of drones in architecture projects. [16 days, avg 4 hrs/day]
Create and navigate virtual reality environments to provide new insights into architectural design. [16 days, avg 4 hrs/day]
Create parametric designs for environmental and structural optimisation of architectural form. [16 days, avg 4 hrs/day]
