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Evidence Guide: AHCNRM507 - Manipulate and analyse data within geographic information systems

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

AHCNRM507 - Manipulate and analyse data within geographic information systems

What evidence can you provide to prove your understanding of each of the following citeria?

Develop procedures for manipulation and analysis of data

  1. Specify desired data format based on job requirements
  2. Specify parameters for the manipulation of data sets
  3. Explain the procedure and rationale for development in new documented procedures
Specify desired data format based on job requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Specify parameters for the manipulation of data sets

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Explain the procedure and rationale for development in new documented procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Establish models required to provide outcome

  1. Evaluate applicability of existing tools, models, theories, applications and solutions
  2. Specify feasible parameters, equations and assumptions
  3. Establish models required to provide specified outcome
Evaluate applicability of existing tools, models, theories, applications and solutions

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Specify feasible parameters, equations and assumptions

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Establish models required to provide specified outcome

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Analyse data

  1. Specify steps to be undertaken and computer operating systems and applications to be used to analyse and manipulate data
  2. Consider restricting factors when selecting techniques for analysis
  3. Isolate and retrieve data from its source
  4. Interrogate data to ensure reliability
  5. Prepare data for presentation media
Specify steps to be undertaken and computer operating systems and applications to be used to analyse and manipulate data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Consider restricting factors when selecting techniques for analysis

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Isolate and retrieve data from its source

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Interrogate data to ensure reliability

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare data for presentation media

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

Element

Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Develop procedures for manipulation and analysis of data

1.1 Specify desired data format based on job requirements

1.2 Specify parameters for the manipulation of data sets

1.3 Explain the procedure and rationale for development in new documented procedures

2. Establish models required to provide outcome

2.1 Evaluate applicability of existing tools, models, theories, applications and solutions

2.2 Specify feasible parameters, equations and assumptions

2.3 Establish models required to provide specified outcome

3. Analyse data

3.1 Specify steps to be undertaken and computer operating systems and applications to be used to analyse and manipulate data

3.2 Consider restricting factors when selecting techniques for analysis

3.3 Isolate and retrieve data from its source

3.4 Interrogate data to ensure reliability

3.5 Prepare data for presentation media

Required Skills and Knowledge

Element

Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Develop procedures for manipulation and analysis of data

1.1 Specify desired data format based on job requirements

1.2 Specify parameters for the manipulation of data sets

1.3 Explain the procedure and rationale for development in new documented procedures

2. Establish models required to provide outcome

2.1 Evaluate applicability of existing tools, models, theories, applications and solutions

2.2 Specify feasible parameters, equations and assumptions

2.3 Establish models required to provide specified outcome

3. Analyse data

3.1 Specify steps to be undertaken and computer operating systems and applications to be used to analyse and manipulate data

3.2 Consider restricting factors when selecting techniques for analysis

3.3 Isolate and retrieve data from its source

3.4 Interrogate data to ensure reliability

3.5 Prepare data for presentation media

The candidate must be assessed on their ability to integrate and apply the performance requirements of this unit in a workplace setting. Performance must be demonstrated consistently over time and in a suitable range of contexts.

The candidate must demonstrate that they can extract, compare and manipulate data in response to customer requests.

The candidate must provide evidence that they can:

develop and document suitable procedures for data collection, manipulation and analysis

use or create appropriate models

use operating systems and computer applications for data analysis and report writing, according to organisational requirements

The candidate must demonstrate knowledge of:

database structures

scripting and commands

line instructions and programming

operating systems used by enterprise for data analysis and storage, including:

UNIX

DOS

Windows

NT

range of tools, models, theories, applications and solutions

data analysis and manipulation techniques

Range Statement