Course Title: Collate and interpret spatial data
Part A: Course Overview
Program: C5237 Diploma of Spatial Information Services
Course Title: Collate and interpret spatial data
Portfolio: SEH Portfolio Office
Nominal Hours: 20
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) |
GEOM5102C |
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 collate and interpret spatial data to provide the dataset required for project deliverables, often in a supervisory capacity. It requires the ability to apply theoretical spatial concepts to a range of situations in order to identify and interpret the appropriate information, according to client requirements. 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: |
CPPSIS5010A Collate and interpret spatial data |
Elements: |
1 Access data 2 Query and interpret data. 3 Collate data 4 Test and validate collated spatial data. |
Learning Outcomes
Refer to elements
Overview of Assessment
A person who demonstrates competency in this unit must be able to provide evidence of:
• taking responsibility for own outputs in work and learning
• using relevant data by manipulating and analysing it to meet the client’s requirements, including:
• applying operational knowledge in a broad range of areas relating to linking datasets and knowledge management
• applying organisational skills and prioritising activity
• applying solutions to a range of problems
• devising and implementing a cost-effective functional solution
• examining suitability of existing arrangements
• keeping records accurately
• measuring outcomes against specifications
• performing a range of tasks where choice between a substantial range of options is required.