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  3. Spatial Information Programming
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Spatial Information Programming (GEOM90042) // Further information

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Further information

  • Texts

    Prescribed texts

    Recommended texts and other resources

    • Jennings, N., 2011. A Python Primer for ArcGIS. CreateSpace Independent Publishing Platform
    • Cogliati, J. 2005, Non-Programmer's Tutorial for Python
    • Downey, A.B., Elkner, J. and Meyers, C., 2008. Think Python: How to Think Like a Computer Scientist. O’Reilly Media
    • Mark Lutz: Learning Python (3rd ed.), O'Reilly Media
    • van Rossum, G. and Drake, F.L. Jr. (Editor), 2003. The Python Language Reference Manual, (Version 3.2) Network Theory Ltd
    • Beazley, D.M., 2006. Python Essential Reference (4th ed.), Addison-Wesley
  • Subject notes

    LEARNING AND TEACHING METHODS

    There will be lectures covering the addressed topics. Additionally, there will be computer labs, which will allow students to apply previously learnt concepts, methods and approaches. Students will also have time to work on the practical assignments. Labs start in week 1 and then run until the end of the semester.

    INDICATIVE KEY LEARNING RESOURCES

    • Jennings, N., 2011. A Python Primer for ArcGIS, CreateSpace Independent Publishing Platform
    • Cogliati, J., 2005, Non-Programmer's Tutorial for Python
    • Downey, A.B., Elkner, J. and Meyers, C., 2008. Think Python: How to Think Like a Computer Scientist. O’Reilly Media
    • Mark Lutz: Learning Python (3rd ed.). O'Reilly Media
    • van Rossum, G. and Drake, F.L. Jr.(Editor), 2003. The Python Language Reference Manual, (Version 3.2) Network Theory Ltd
    • Beazley, D.M., 2006. Python Essential Reference (4th ed.), Addison-Wesley

    CAREERS / INDUSTRY LINKS

    Spatial information services have grown into a major sector. Being able to combine a deep understanding of the fundamentals of spatial information with the ability to develop custom-made tools and analysis methods is a significant advantage in many areas of the spatial industry. Thus, successfully participating in this subject increases students’ attractiveness for employers and broadens their career opportunities.

  • Related Handbook entries

    This subject contributes to the following:

    TypeName
    CourseDoctor of Philosophy - Engineering
    CourseMaster of Spatial Information Science
    CourseMaster of Philosophy - Engineering
    CourseMaster of Geographic Information Technology
    CoursePh.D.- Engineering
    Specialisation (formal)Spatial
  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

    Additional information for this subject

    Subject coordinator approval required

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 3 November 2022