Note: This is an archived Handbook entry from 2015.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2015:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 48 hours, comprising of two hours of lectures, one hour of tutorials, and one hour of practicals per week (tutorials and practicals in a computer lab) |
Total Time Commitment:
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
Students cannot enrol in and gain credit for this subject and:
|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: http://services.unimelb.edu.au/disability
CoordinatorDr Nicole Ronald
Dr Nicole Ronald
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.
INTENDED LEARNING OUTCOMES (ILO)
Having completed this unit the student is expected to:
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
The following generic skills will be strengthened as a result of this course of study:
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
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.
Master of Geographic Information Technology |
Master of Information Systems
Master of Information Technology
Master of Philosophy - Engineering
Master of Spatial Information Science
MIS Professional Specialisation |
MIT Spatial Specialisation
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