Course Title: Collect and manage data

Part A: Course Overview

Program: C5305 Diploma of Conservation and Land Management

Course Title: Collect and manage data

Portfolio: SEH Portfolio Office

Nominal Hours: 120

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)

MATH7058C

City Campus

TAFE

155T Vocational Health and Sciences

Face-to-Face or Internet

 Term1 2013,
Term1 2014,
Term1 2015,
Term1 2016

Course Contact: Namrita Kaul

Course Contact Phone: +61 3 9925 4309

Course Contact Email: namrita.kaul@rmit.edu.au



Course Description

This competency standard covers the process of collecting, analysing and managing data.
It requires the ability to determine the type and extent of data to be collected, access and collate data, evaluate data,
manage, analyse and retrieve data. Collecting and managing data requires knowledge of data collection techniques and procedures,
data recording and evaluation techniques, data analysis and data storage and retrieval methods.

Pre-requisite Courses and Assumed Knowledge and Capabilities

None



National Competency Codes and Titles

National Element Code & Title:

AHCWRK502A Collect and manage data

Elements:

1. Determine the type and extent of data to be collected

1. Determine the type and extent of data to be collected
 

2. Access and collate data

2. Access and collate data
 

3. Evaluate data

3. Evaluate data
 

4. Manage and retrieve data

4. Manage and retrieve data
 

5. Analyse and interpret data

5. Analyse and interpret data
 

Learning Outcomes

  • Data is researched using appropriate methods and technologies.
  • Data is collected from scientific sources and in the field.
  • Data collected is analysed for relevance and validity.
  • Data is stored by electronic means.
  • Data is assembled and provided to client as required to industry standard.
  • Data is analysed using appropriate statistical and analytical techniques.
  • Findings based on analysis and interpretation are reported.


Overview of Assessment

 

  • Collect data on vertebrate fauna and freshwater macroinvertebrate fauna.
  • Prepare reports for clients (2 assessments).
  • Analyse, evaluate and interpret data following field trips (2 assessments).