Course Title: Collect and manage data

Part B: Course Detail

Teaching Period: Term1 2017

Course Code: MATH7077C

Course Title: Collect and manage data

School: 174T School of VE Engineering, Health & Science

Campus: City Campus

Program: C5367 - Diploma of Conservation and Land Management

Course Contact: namrita Kaul

Course Contact Phone: +61 3 9925 4309

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Dr Anna Moodie

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.

Pre-requisites and Co-requisites


Course Description

This unit of competency describes the skills and knowledge required to collect, analyse and manage data.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

AHCWRK502 Collect and manage data


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

Performance Criteria:

1.1 Define data requirements and communicate to all staff involved in data collection
1.2 Identify relevant data sources
1.3 Define the type and extent of data required 1.4 Identify work health and safety hazards associated with data collecting
1.5 Define data collection methods and techniques relative to data requirements


2. Access and collate data

Performance Criteria:

2.1 Format data collection sheets to assist collection
2.2 esearch or collect data from field source
2.3 Collate data by appropriate electronic means 2.4 Monitor appropriateness of data and record during collection
2.5 Research information using appropriate methods and technologies
2.6 Review sources of information regularly for usefulness, validity, reliability and cost
2.7 Use channels and sources of information effectively
2.8 Take opportunities to establish and maintain contacts with those who may provide useful information
2.9 Follow appropriate work health and safety requirements and work practices


3. Evaluate data

Performance Criteria:

3.1 Collect data that is relevant, valid and sufficient
3.2 Seek clarification and assistance where data is unclear or difficult to interpret
3.3 Obtain additional data where data is inadequate
3.4 Analyse information for its validity and reliability


4. Manage and retrieve data

Performance Criteria:

4.1 Store data by appropriate electronic means 4.2 Present data using appropriate graphical aids and techniques
4.3 Assemble data and provide to the manager or client as required
4.4 Retrieve data as required
4.5 Suggest and introduce new methods of recording and storing data as needed


5. Analyse and interpret data

Performance Criteria:

5.1 Analyse data using appropriate statistical and analytical techniques
5.2 Interpret data to determine its significance, validity and reliability
5.3 Report findings based on the analysis and interpretation of the data
5.4 Organise data into a suitable report format to aid decision making
5.5 Ensure conclusions drawn are based on reasoned argument and appropriate evidence

Learning Outcomes

Details of Learning Activities

Learning activities include face to face classes, field trips, online research and group discussions.

Within this course students will receive a training in how data is collected, recorded, managed and reported. It includes different methodologies of collection and evaluation, including two key examples of data collection. 
All learning activities will provide opportunities for students to learn accepted procedures for collecting and managing data and to evaluate the effectiveness of those procedures.

Teaching Schedule

Week No.


Learning activity




No class





Class introductions

Introduction to Data Collection

Why survey? What is a hypothesis?




Types of data

What are variables?

Preparation for Assessment 1:

What techniques are to be used? Data collection sheet











Statistical terms - Simple Data analysis

Preparation for Assessment 1 – check of Data collection sheet

Use of excel introduction


Thursday: Collecting tree data – practical at Royal Park gardens







Field trip



Enter Data - collation of Assessment task 1

Use of excel; graphs in excel






Results for assessment task one

Graphs in excel




What is validity? Sufficiency? Reliability? Relevant?

Assessment task 1 due



Macroinvertebrates and Waterwatch

Planning Data Collection for Macroinvertebrates Data statistics

Community Data collection




Tuesday 4th: Field trip preparation


Thursday 6th: Field trip waterwatch to collect data



Field trip



Macroinvertebrate data collation





Mid Semester Break, no classes Thursday 13th April – Wednesday 19th April




No class – ANZAC Day


Assessment task 2 due



No class – work on assignments (Anna on second year camp)




Data collection problems

Assessment task 3 due



Field trip prep


Thursday: field trip to be confirmed

Field trip



Interpreting results




Creating maps and graphs




Mid year break No Classes between 6 June and 2 July


Semester 2 schedule to be advised

Learning Resources

Prescribed Texts


Other Resources

Overview of Assessment

Assessment for this competency may include collection, analysis, evaluation and interpretation of data following field trips, written reports and group work

Assessment Tasks


Assessments demonstrating competence


Due Date


% Mark

1 Tree Study 

Tree Study




2 Macroinvertebrate Survey scope

Define and discuss the Waterwatch project




3 Macroinvertebrate Survey Data Collection

Collect macroinvertebrate data using Waterwatch technique




Second semester assessments – more information at the start of semester 2



Assessment Matrix

Other Information

Assessment information

This course is graded in accordance with competency-based assessment, but which also utilises graded assessment
CHD Competent with High Distinction (80 – 100%)
CDI Competent with Distinction (60 – 79%)
CC Competent with Credit (50 – 59%)
CAG Competency Achieved – Graded (0 – 49%)
NYC Not Yet Competent
DNS Did Not Submit for assessment

To pass the course you need to pass, on average, each type of assessment (reports, assignments etc.)

  • Late work that is submitted without an application for an extension (see below) will not be corrected.
  • APPLICATION FOR EXTENSION OF TIME FOR SUBMISSION OF ASSESSABLE WORK - A student may apply for an extension of up to 7 days from the original due date. They must lodge the application form (available online at least 24 hours before the due date. The application is lodged with the School Admin Office on Level 6, Bdg 51. Students requiring longer extensions must apply for SPECIAL CONSIDERATION.
  • For missed assessments such as tests and field trips- you (& your doctor if you are sick) must fill out a special consideration form. This form must be lodged online with supporting evidence prior to, or within, 48 hours of the scheduled time of the assessment

Plagiarism is the presentation of the work, idea or creation of another person as though it is your own. It is a form of cheating and is a very serious academic offence that may lead to expulsion from the University. Plagiarised material can be drawn from, and presented in, written, graphic and visual form, including electronic data and oral presentation. Plagiarism occurs when the origin of the material used is not appropriately cited. It also occurs through enabling plagiarism, which is the act of assisting or allowing another person to plagiarise or to copy your own work. Please make sure you consider this carefully in completing all your work and assessments in this course and if you are unsure about whether you might have plagiarised, seek help from your teacher. 

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