Spatial Information Programming

Subject GEOM90042 (2012)

Note: This is an archived Handbook entry from 2012.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2012:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 48 hours per semester (Lectures: 2 hours per week, Practicals: 2 hours per week)
Total Time Commitment: 120 hours
Prerequisites: Successful completion of the following subject is required, however it may be taken concurrently:
Study Period Commencement:
Credit Points:
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: Credit will not be given for the following subject:
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support:


Dr Kai-Florian Richter


Dr Lars Kulik

Subject Overview: Many application problems in spatial information cannot be solved with standard tools but require programming for fast and effective solutions. Using practical 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. Course projects involve many aspects of the software development life cycle, from algorithm design to software implementation and maintenance

On completion of this subject student should be able 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
  • One 2-hour exam, end of semester (60%)
  • Two written programs and the relevant documentation to support the program, mid-semester and end of semester (40%)

Hurdle requirement: To pass this subject, students must obtain at least 50% overall, and 25/60 in the exam

Prescribed Texts: None
Recommended Texts: None
Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
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
Related Course(s): Master of Geographic Information Technology
Master of Spatial Information Science

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