Course Title: Integrate spatial datasets
Part A: Course Overview
Program: C5237 Diploma of Spatial Information Services
Course Title: Integrate spatial datasets
Portfolio: SEH Portfolio Office
Nominal Hours: 60
Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
ISYS5683C |
City Campus |
TAFE |
130T Vocational Engineering |
Face-to-Face |
Term1 2009, Term1 2010, Term1 2011 |
Course Contact: Program Manager
Course Contact Phone: +61 3 9925 4468
Course Contact Email: engineering-tafe@rmit.edu.au
Course Description
This unit of competency specifies the outcomes required to integrate spatial datasets including linking spatial, aspatial and attribute data for the purpose of providing spatially referenced information. It requires the ability to apply theoretical spatial concepts to a range of situations in order to correctly identify and integrate the appropriate information. Functions would be carried out within organisational guidelines.
Pre-requisite Courses and Assumed Knowledge and Capabilities
NONE
National Competency Codes and Titles
National Element Code & Title: |
CPPSIS5006A Integrate spatial datasets |
Elements: |
2 Obtain spatial and attribute data. 3 Create resultant spatial dataset. 4 Link spatial and attribute data. 5 Test and validate spatial datasets. 1 Confirm task |
Learning Outcomes
Refer to elements
Overview of Assessment
A person who demonstrates competency in this unit must be able to provide evidence of:
• accurate record keeping
• applying solutions to a range of problems
• devising and implementing a cost-effective, functional solution
• examining suitability of existing arrangements
• measuring outcomes against specifications
• operational knowledge in a broad range of areas relating to linking
datasets and knowledge management
• organising and prioritising activity
• performing a range of tasks where choice between a substantial
range of options is required
• taking responsibility for own outputs in work and learning.