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  3. Spatial Information Programming

Spatial Information Programming (GEOM90042)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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AIMS

Many application problems in spatial information cannot be solved with standard tools but require programming for fast and effective solutions. Using case studies, this subject will enable students to develop software programs that address specific spatial information problems, beginning with learning the syntax, program structure and data types of an object oriented programming language such as Python. Course projects involve many aspects of the software development life cycle, from algorithm design to software implementation. This subject assumes students are familiar with spatial information data and the varied ways it is used by various stakeholders. Students who successfully complete this subject may find work in specialist consulting practices, spatial information research organisations or as software developers for the spatial information industry.

INDICATIVE CONTENT

  • Variables and data types (including dictionaries)
  • Input and output
  • Selection and iteration
  • Scripting and geo-processing (customise a GIS)
  • Store and process spatial data
  • Manipulate spatial data
  • Visualise spatial data
  • Access dynamically changing data from the Web.

Intended learning outcomes

INTENDED LEARNING OUTCOMES (ILO)


On completion of this subject the student is expected to:



  • Design and generate an algorithmic solution to a specified spatial information problem
  • Use an object oriented programming language to design, implement and test solutions
  • Use dynamically changing web content in these solutions
  • Document and maintain software programs.

Generic skills

The following generic skills will be strengthened as a result of this course of study:

  • Ability to apply knowledge of science and engineering fundamentals
  • Ability to undertake problem identification, formulation, and solution
  • Ability to communicate effectively, with the engineering team and with the community at large
  • Ability to manage information and documentation
  • Understanding of professional and ethical responsibilities, and commitment to them
  • Capacity for lifelong learning and professional development.

Last updated: 3 November 2022