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The combination of computational design and computer-numerically-controlled (CNC) fabrication processes (including robotics) offers architects the possibility to regain a direct connection to materials and their manipulation.
This microcredential focuses on the most profound impact of this shift: that architects gain the ability to create adaptive design systems that respond to material and fabrication systems. As a participant in this microcredential, you will design and produce 1:1 prototypes using robotic rod-bending and adaptive digital design models.
Successfully completing the microcredential will equip participants with:
This microcredential aligns with the 3 credit point subject, Adaptive Robotic Fabrication for Building Design (80110) in the Master of Technology.
This microcredential may qualify for recognition of prior learning at this and other institutions.
This microcredential is suitable for professionals and academics who want to advance their knowledge of computational design methods, robotic fabrication systems and/or their potential impacts on the discipline and practice of architecture. Architects, engineers, industrial designers, computer scientists, roboticists and fabricators are all appropriate and very welcome participants.
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.
Over three days, you’ll learn to plan, carry out and process GIS large scale terrestrial data to generate rich GIS models. You will also get to know the fundamentals of open source and proprietary software packages as they relate to GIS data in small and large office and project management contexts and learn to integrate resulting data into AEC and other office software applications.
You will complete a half-day exercise in data retrieval, manipulation and integration into office projects; two sessions with lectures and practical examples of data implementation and analysis; and a range of activities aimed at demystifying GIS-related software packages.
The following topics will be covered during the course:
In between workshop sessions, you will also be encouraged to install and run the largely open source software on your own laptop. As well as giving you the chance to bring queries and issues to the second workshop session, this approach will maximise your face-to-face learning time and give you a dataset to share with your colleagues.
The course takes place in the UTS computer labs where you’ll process and apply the resulting data, specifically targeting individual participant project examples where possible.
Face-to-face learning through the use of digital tools.
You will start by exploring examples from the current state-of-the-art in robotic fabrication in architecture, engaging in discussions of the potential disciplinary shifts that these processes enable and foreshadow. Following an induction to the UTS DAB Advanced Fabrication Lab, you’ll investigate the robotic workcell, getting hands on with specific system elements and the various forms of robotic motion.
Next, you’ll observe the fabrication process, which will be demonstrated using rod-bend sub-assembly, illustrating each of the key process parameters. You will then use Rhino 3D, Python programming and/or Grasshopper 3D to develop your designs and produce the necessary instruction files to have them fabricated.
Starting with a simple parametric assembly, you’ll produce your first material prototype, working through an iterative process to evolve the design, your unique performance objectives, and a set of 1:1 prototypes. Finally, you’ll use photogrammetry to scan your prototype, enabling you to compare the as-built object with the initial digital model.
By the end of this course, you'll understand:
Assessment will be pass/fail.
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]