Course Title: Collect and manage data

Part B: Course Detail

Teaching Period: Term1 2022

Course Code: MATH7077C

Course Title: Collect and manage data

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities.

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption.

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:

Please read the Student website for additional requirements of in-person attendance:

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.

School: 530T Built Environment and Sustainability

Campus: City Campus

Program: C5418 - Diploma of Conservation and Ecosystem Management

Course Contact: Thierry Demathieu

Course Contact Phone: +61 3 9925 8359

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Nicole Fergusson

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

In this course you will develop the skills and knowledge required to collect, analyse and manage data.

This course applies to individuals who take personal responsibility and exercise autonomy in undertaking complex work. These individuals demonstrate deep knowledge in a specific technical area and analyse, design and communicate solutions to sometimes complex problems.

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

On successful completion of this course you will have developed and applied the skills and knowledge required to demonstrate competency in the above elements. 

Details of Learning Activities

Learning activities include online classes using Collaborate Ultra in Canvas, field trips, online research and group discussions.

Within this course students will receive 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

Teaching Schedule 2022

Week No



Teaching schedule


Week 1


Intro to Assessment Task 1


Week 2

Create a map

Create a data sheet


Week 3

Types of Data

Data Collection Methods


Week 4

Field Work Carlton Gardens


Week 5

Preparation for Assessment Task 1

Field Work Thursday Aug 6 - Royal Park

Week 6

Collate Tree Data

Using Excell for graphs


Week 7

Statistical Terminology


Week 8



Semester Break


Week 9

No Class Monday

Field Work Thursday September 10 - Dandenongs


Week 10

Issues of Data Collection


Week 11

No Class


Week 12

No Class


Week 13

Community Data Collection

Macroinvertebrate Sampling

Discussion of Assessment Task 3


Week 14

No class Monday

Thursday Field Trip Darebin Parklands Collect Data for Assessment Task 3


Week 15

Collate Data for Assessment Task 3

Discuss Assessment Task 3


Week 16

No Class

Learning Resources

Prescribed Texts


Other Resources

Overview of Assessment

Assessment for this course is ongoing throughout the semester. Your knowledge and understanding of course content is assessed through participation in class exercises, oral presentations and through the application of learned skills and insights to your written tasks. Full assessment briefs will be provided and can be found on CANVAS. 

Assessment Tasks

Date Details
Week 7
Assignment Analyse Data Report
due by 23:59
Week 11
Assignment Veggie Data Collection
due by 23:59
Week 16
Assignment Water Watch
due by 23:59

Assessment Matrix


Unit Title Collect and manage data

Date Competency Assessment Map completed/revised 16/01/2022

Position of the person/s who mapped assessments to the unit Assessor, Senior Assessment Writer

Approved by Thierry Demathieu

Other Information

Credit Transfer and/or Recognition of Prior Learning (RPL):
You may be eligible for credit towards courses in your program if you have already met the learning/competency outcomes through previous learning and/or industry experience. To be eligible for credit towards a course, you must demonstrate that you have already completed learning and/or gained industry experience that is:

  • Relevant
  • Current
  • Satisfies the learning/competency outcomes of the course

Please refer to to find more information about credit transfer and RPL.

Study Support: 

Study Support provides free learning and academic development advice to you. 
Services offered by Study Support to support your numeracy and literacy skills are: 

assignment writing, thesis writing and study skills advice 
maths and science developmental support and advice 
English language development 

Please Refer to find more information about Study and learning Support 

Equitable Learning Services (ELS):

If you are suffering from long-term medical condition or disability, you should contact Equitable Learning Services (ELS) to seek advice and support to complete your studies.
Please refer to to find more information about services offered by Equitable Learning Services (ELS).

Late submission: 

If you require an Extension of Submittable Work (assignments, reports or project work etc.) for 7 calendar days or less (from the original due date) and have valid reasons, you must complete and lodge an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager. 
The application must be lodged no later than one working day before the official due date. You will be notified within no more than 2 working days of the date of lodgment as to whether the extension has been granted. 
If you seek an Extension of Submittable Work for more than 7 calendar days (from the original due date) must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days after the official due date. 

Submittable Work (assignments, reports or project work etc.) submitted late without approval of an extension will not be accepted or marked. 

Special consideration: 

Please Refer to find more information about special consideration 

Academic Integrity: 

"Academic integrity means acting with the values of honesty, trust, fairness, respect and responsibility in learning, teaching and research."

It means referencing the work of others while developing your own insights, knowledge and ideas.

Breaches of academic integrity include:

  • plagiarism and failure to correctly acknowledge sources
  • contract cheating or paying/getting another person to prepare an assignment
  • submitting work prepared by another person
  • copying other people’s work
  • cheating in exams
  • breaching the Research Code
  • using unauthorised materials or devices

Please Refer: to find more information about plagiarism. 

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.

Students will be able to access course information and learning materials through the Learning Hub and may be provided with additional materials in class. Lists of relevant reference books, resources in the library and accessible Internet sites will be provided where possible. You will also use equipment and software packages in the laboratory for the project work. During the course, you will be directed to websites to enhance your knowledge and understanding of difficult concepts

Check the Library Subject Guides: RL:

Course Overview: Access Course Overview