1. Handbook
  2. Subjects
  3. Flexible Urban Modelling

Flexible Urban Modelling (ABPL90304)

Graduate courseworkPoints: 12.5On Campus (Parkville)

You’re viewing the 2024 Handbook:
Or view archived Handbooks

Overview

Availability(Quotas apply)
Semester 2
FeesLook up fees

This elective focuses on integration of geospatial data into iterative, procedural, rapid, large-scale design modelling, using a range of emerging tools including GIS, 3D modelling, CIM (Civil Information Models) and associated scripts and plugins. In this subject you will develop methods to model and interact with complex built form, difficult terrains and integrate social, environmental, and ecological data into your design decision-making.

This subject offers an opportunity to build upon prior skills and interest in areas such as biomorphic form making, 3D printing, photogrammetry, agent-based simulation, particle systems, material networks, online mapping, GIS analysis, motion graphics and performance-based design. It is recommended for students of urban design, landscape architecture, and architecture.

Prescribed software programs with no cost
Autodesk Civil 3D
Autodesk 3Ds Max
QGIS (Opensource)
Prescribed software programs with a cost
Chaos Group Vray
Prescribed software tools
Layout software

Details of software availability and pricing are captured at: https://msd.unimelb.edu.au/current-students/student-experience/it-support

Intended learning outcomes

On completion of the subject, students should be able to:

  • Understand the strengths and limitations of working between GIS based data and cartesian modelling environments.
  • Understand a range of possibilities for spatial data to inform design decisions and design modelling.
  • Engage with and apply a variety of emerging spatial modelling technologies to address design objectives in both complex existing conditions and to future climate, density and transport projections.
  • Develop practical, rapid and refined, knowledge capture and presentation techniques for design communication and design modelling, including visualising data in online map platforms.

Generic skills

  • Develop complex file management protocols and data transition techniques between a range of software platforms.
  • Develop familiarity with online platforms for urban and ecological data acquisition.
  • Develop and apply computational thinking skills to address spatial design problems.
  • Develop and apply time-saving modelling techniques.

Last updated: 31 January 2024