Course Title: Collect and manage data

Part B: Course Detail

Teaching Period: Term1 2023

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: https://policies.rmit.edu.au/document/view.php?id=209.

Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus

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: thierry.demathieu@rmit.edu.au

Name and Contact Details of All Other Relevant Staff

Trainer and assessor

Nicole Fergusson

nicole.fergusson@rmit.edu,au

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

None

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
Element:	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
Element:	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
Element:	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
Element:	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 need
Element:	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

Topics:

Introduction to the unit - outcomes, expectations and assessments. Introduction to environmental data: Maps and Data

Terminology – Types of Data

Safety in the field - JSA

Fieldwork

Data Collection Methods - primary and secondary data, sampling, etc.

Writing Reports

Graphs and tables - how to present great data

Fieldwork: Royal Park Tree Data, GPS work and mapping

Preparation for Assessments

Maps, Mapping , GIS

Computer Lab: Mapping Software

Sampling methods

Vegetation Surveys

Case Studies of Fieldwork data in Action

Fieldwork: Sampling Vegetation

Statistics, Graphs and Data Management

Fieldwork Preparation for Assessment 3: Citizen science

Fieldwork: Macroinvertebrate sampling

Review of Data for assessment Data Storage and Access

Fieldwork: Data in Action

Case Study - Data in action

Teaching Schedule

Session/Date

Theme

Assessments

Session One Week 1:6-12 February	Introduction to the unit - outcomes, expectations and assessments. Introduction to environmental data: Maps and Data	Assessment 1 Assessment 2 Assessment 3
Session Two Week 2	Terminology – Types of Data Safety in the field - JSA Fieldwork: Carlton Gardens	Assessment 1 Assessment 2 Assessment 3
Session Three Week 3	Data Collection Methods - primary and secondary data, sampling, etc. Writing Reports	Assessment 1 - predominantly Assessment 2 Assessment 3
Session Four Week 4	Graphs and tables - how to present great data Fieldwork: Royal Park Tree Data, GPS work and mapping	Assessment 1
Session Five Week 5	Preparation for Assessment 1	Assessment 1
Session Six Week 6	Maps, Mapping , GIS Computer Lab: Mapping Software	Assessment 1, 2 and 3
Session Seven Week 7	Sampling methods	Assessment 2 and 3
Census DateLinks to an external site. 31 March 2023	The Census Date is the last day you can withdraw from this course without financial penalty. If you need to withdraw from this course, you must do so before this date to avoid additional student fees.
Session Eight Week 8: 27 March - 2 April	Vegetation Surveys Preparation for Assessment 2	Assessment 2
Session Nine Week 9	Case Studies of Fieldwork data in Action Fieldwork: Sampling Vegetation	Assessment 2 and 3
Mid-semester break 10-16 April	The Mid-semester break is a scheduled break in the semester. No teaching or assessment will occur during this time. Also, your Trainer/Assessor won't be available during this time. If you need to contact them, please email them via your student email account, and they will respond once they return from the break.
Session Ten Week 10: 17-23 April	Statistics, Graphs and Data Management	Assessment 3
Session Eleven 24-30 April	Fieldwork Preparation for Assessment 3: Citizen science Fieldwork: Aquatic Macroinvertebrate Sampling	Assessment 3
ANZAC Day Public holiday 25 April 2023
Session Twelve 1-7 May	Review of Data for assessment	Assessment 3
Session Thirteen 8-14 May	Data Storage and Access Fieldwork: Data in Action	Assessment 3
Session Fourteen 15-21 May	Case Study - Data in action	Assessment 3
Session Fifteen 22-28 May	Review and Recap – Assessment Work
Session Sixteen 29 May - 4 June	Final reviews, feedback, meeting, resubmits
Session Seventeen 5-11 June	Student Meetings and assessment review
Session Eighteen 12-18 June	Student Meetings and assessment review
Queens Birthday  Public Holiday 12 June 2023	No teaching or assessing will occur on the Queen's Birthday. Additionally, RMIT staff will not be available during this time. If you need to contact them, please email them via your student email account, and they will respond once they return from the break.
Official Results Release DateLinks to an external site. 29 June 2023	Important: It is your responsibility to check your results on this date. Your official results for this course will be released on this date. Your teacher will not inform you of your final result. It will only be available via My Student Record on RMIT's website.  It is not your Trainer/Assessors responsibility to let you know your final result.  Your teacher will not be available to comment on your assessment or final results from 18-29 June 2022. After this date, you can contact them to talk about your final result if you need it.

Learning Resources

Prescribed Texts

References

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

DateDetailsDue

Week 6	Assignment Assessment 1: Analysis of tree data report	due Sunday by 23:59
Week 10	Assignment Assessment 2: Vegetation Data Collection	due Sunday by 23:59
Week 14	Assignment Assessment 3: Waterwatch Collecting Macroinvertebrates Data	due Sunday by 23:59

Assessment Matrix

Element	Performance criteria
		Assessment Task 1: Analysis of tree data report	Assessment Task 2: Vegetation data collection techniques	Assessment Task 3: Waterwatch: macroinvertebrate data report
1. Determine the type and extent of data to be collected	1.1 Define data requirements and communicate to all staff involved in data collection	1.1	Worksheet 1:1.1	3-8
Worksheet 2:2.1
Worksheet 3:3.1
1.2 Identify relevant data sources	2.9, 2.1, 2.2	Worksheet 1:1.1	1, 4,7
Worksheet 2:2.1
Worksheet 3:3.1
1.3 Define the type and extent of data required	1.2: 1.2.1,1.2.2,1.2.3,	Worksheet 1: 1.1-1.3
1.2.4,1.2.5,1.2.6	Worksheet 2:2.1-2.3	5-11
	Worksheet 3:3.1-3.3
1.4 Identify work health and safety hazards associated with data collection	1.3   2.4	Section 6: 6.1	13
1.5 Define data collection methods and techniques relative to data requirements	1.2: 1.2.1,1.2.2,1.2.3,	Worksheet 1: 1.1,1.3,1.5	3, 5-11
1.2.4,1.2.5,1.2.6	Worksheet 2:2.1,2.3,2.5
2.3.1,2.3.2, 2.3.3	Worksheet 3:3.1,3.3, 3.5
2. Access and collate data	2.1 Format data collection sheets to assist collection	1.2: 1.2.2- 1.2.6	Worksheet 1:1.2, 1.4
Worksheet 2:2.2, 2.4
2.2 Research or collect data from field source	1.1	Worksheet 1:1.1-1.6	2, 14, 15
Worksheet 2:2.1-2.6
Worksheet 3:3.1-3.6
Worksheet 4: 4.1
2.3 Collate data by appropriate electronic means	1.2: 1.2.1,1.2.2,1.2.3,	Worksheet 1:1.4,1.5	8
1.2.4,1.2.5,1.2.6	Worksheet 2:2.4,2.5
2.9 , 2.9.1	Worksheet 3:3.4,3.5
2.4 Monitor appropriateness of data and record during collection	2.10	Worksheet 1:1.1-1.4	9,12,17
Worksheet 2:2.1-2.4
Worksheet 3:3.1-3.4
Worksheet 4: 4.1
2.5 Research information using appropriate methods and technologies	2.3.1,2.3.2,2.3.3	Worksheet 1:1.1-1.4	4, 10-12
2.11	Worksheet 2:2.1-2.4
	Worksheet 3:3.1-3.4
	Worksheet 4: 4.1
2.6 Review sources of information regularly for usefulness, validity, reliability and cost	1.2.3, 2.10, 2.11		4, 12, 15
2.7 Use channels and sources of information effectively		Worksheet 1:1.1,1.3,1.4	4, 12
Worksheet 2: 2.1,2.3,2.4
Worksheet 3: 3.1,3.3,3.4
Worksheet 4: 4.1
2.8 Take opportunities to establish and maintain contacts with those who may provide useful information			4, 17,
Waterwatch sheets are sent to Melbourne Water
2.9 Follow appropriate work health and safety requirements and work practices	2.4	Worksheet 1: 1.7
Worksheet 2: 2.7
Worksheet 3: 3.7
Section 6: 6.1
3. Evaluate data	3.1 Collect data that is relevant, valid and sufficient	1.1	Worksheet 1:1.3	14, 17, 20, 22
1.2: 1.2.1,1.2.2,1.2.3,	Worksheet 2:2.3
1.2.4,1.2.5	Worksheet 3: 3.3
	Worksheet 4: 4.1
3.2 Seek clarification and assistance where data is unclear or difficult to interpret	2.10		4
3.3 Obtain additional data where data is inadequate	2.10
3.4 Analyse information for its validity and reliability	2.10	Worksheet 1:1.5	14
Worksheet 2: 2.5
Worksheet 3: 3.5
4. Manage and retrieve data	4.1 Store data by appropriate electronic means	1.2.4,1.2.5,  2.9		8
4.2 Present data using appropriate graphical aids and techniques	2.5; 2.6; 2.8.1,2.8.2, 2.9	Worksheet 1:1.4
Worksheet 2: 2.4
Worksheet 3: 3.4
4.3 Assemble data and provide to the manager or client as required	2	(Class field trip)	14,18
Worksheet 1:1.4
Worksheet 2: 2.4
Worksheet 3: 3.4
4.4 Retrieve data as required	2.9 ,2.9.1	Worksheet 1:1.4
Worksheet 2: 2.4
Worksheet 3: 3.4
4.5 Suggest and introduce new methods of recording and storing data as needed	2.4		24
5. Analyse and interpret data	5.1 Analyse data using appropriate statistical and analytical techniques	2.5; 2.6; 2.7; 2.8.1, 2.8.2,2.9,2.9.1	Worksheet 1:1.5	16
Worksheet 2: 2.5
Worksheet 3: 3.5
5.2 Interpret data to determine its significance, validity and reliability	2.9,2.9.1,2.10	Worksheet 1:1.4,1.5	2, 15
Worksheet 2: 2.4, 2.5
Worksheet 3: 3.4, 3.5
5.3 Report findings based on the analysis and interpretation of the data	2.0	Worksheet 1:1.4,1.5, 1.6	15-18
Worksheet 2: 2.4, 2.5, 2.6
Worksheet 3: 3.4, 3.5, 3.6
Section 5: 5.1-5.5
5.4 Organise data into a suitable report format to aid decision making	2.0, 2.9, 2.9.1	Worksheet 1:1.4	1-24 (All)
Worksheet 2: 2.4
Worksheet 3: 3.4
5.5 Ensure conclusions drawn are based on reasoned argument and appropriate evidence	2.10, 2.11,2.12	Worksheet 1: 1.6	23-24
Worksheet 2: 2.6
Worksheet 3: 3.6
Foundation Skills.
Foundation Skills essential to performance are implicit in the performance criteria of this unit of competency
Performance Evidence
	Assessment	Assessment	Assessment
Task1:  Analysis of tree data report	Task 2: Vegetation data collection techniques	Task 3:  Waterwatch: collecting macroinvertebrate data
identify data requirements and establish sampling and data collection techniques	1.2.1	Worksheet 1:1.1	3, 8
Worksheet 2:2.1
Worksheet 3:3.1
collect and collate data using standardised recording sheets and systems	1.2.2, 1.2.4, 1.2.5, 1.2.6	Worksheet 1:1.1, 1.4	14-15
Worksheet 2:2.1, 2.4
Worksheet 3:3.1, 3.4
review sampling and data collection techniques based on validity and reliability of the data	2.10		9, 12, 17, 20, 22
Worksheet 1:1.5, 1.6
Worksheet 2: 2.5, 2.6
Worksheet 3: 3.5, 3.6
manage data to facilitate retrieval and analysis	1.2.2, 1.2.4, 1.2.5. 2.9	Worksheet 1:1.2	4, 14
Worksheet 2:2.2
Worksheet 3:3.2
Section 5: 5.1-5.5
analyse data using appropriate statistical and analytical techniques	2.5, 2.6, 2.7, 2.8.1	Worksheet 1:1.5	15,16
Worksheet 2: 2.5
Worksheet 3: 3.5
draw conclusions based on reasoned argument and appropriate evidence	2.11, 2.12	Worksheet 1: 1.6	15
Worksheet 2: 2.6
Worksheet 3: 3.6
produce a report in required format with information and data presented to support decision making	2.0	Worksheet 1:1.1,1.4	1-24 (all)
Worksheet 2:2.1, 2.4
Worksheet 3:3.1,3.4
use industry standard terminology.	2.0, 2.2, 2.8.1, 2.12	Worksheet 1:1.4,1.5	9, 10, 12, 17, 19, 20, 21, 22, 23
Worksheet 2: 2.4, 2.5
Worksheet 3: 3.4, 3.5
Knowledge Evidence
	Assessment	Assessment	Assessment
Task1:  Analysis of tree data report	Task 2: Vegetation data collection techniques	Task 3: Waterwatch: collecting macroinvertebrate data
data collection techniques and procedures	1.1; 1.2	Worksheets 1-4	Report summary,
3, 5, 6, 7, 8, 10-13
data recording and evaluation techniques	1.1; 1.2	Worksheet 1:1.2,1.5, 1.6	9, 14, 17, 18 -22
Worksheet 2: 2.2, 2.5,2.6
Worksheet 3: 3.2, 3.5, 3.6
data analysis and interpretive techniques	2.5; 2.6; 2.7; 2.8; 2.10	Worksheet 1:1.4,1.5,1.6	15-19
Worksheet 2: 2.4,2.5, 2.6
Worksheet 3: 3.4,3.5, 3.6
Section 5: 5.1-5.5
data storage and retrieval methods	2.1; 2.9	Worksheet 1:1.4	18, 4
Worksheet 2: 2.4
Worksheet 3: 3.4
Worksheet 4:4.1
data reporting methods	2.0, 2.2	Worksheet 1:1.4	14, 18, all
Worksheet 2: 2.4
Worksheet 3:3.4
Worksheet 4:4.1

Other Information

Part of the requirements for Vocational Education is regularly engaging with your Trainer/Assessor. Your Trainer/Assessor is obligated to observe you in class and observe your assessments in each class as scheduled. Therefore, you are required to attend all classes as they are scheduled. 

To complete this course, you must achieve a Satisfactory Result in all assessment results. Please see the assessment resubmission rules regarding extra submissions. Additionally, ensure that you are fully aware of the rules about Extensions of time. 

To be clear, if you fail any assessment, you can not pass the course and will need to repeat the course at a later date. 

For more information, please speak with your Trainer/Assessor directly.

All assessments will be submitted electronically through Canvas, this includes your re-submission too.

Only Word and PDF documents are accepted, please do not attempt to upload any other file types, these will be considered as submissions and you will receive Not Yet Satisfactory for that assignment.

You are required to attend a minimum of 85% of your classes. If you miss classes, you will need to provide a medical certificate to your Trainer/Assessor for classes that result in you not meeting the 85% requirement.

If you fail to attend the minimum required classes and engage in each class, your trainer/assessor will not accept your assessment submissions. You will be required to attend an in-person interview with your trainer/assessor at a time determined by them. Failure to attend this interview will result in your assessment being rejected. Additionally, the trainer/assessor reserves the right to reject your assessment based on the interview's outcome. This is required to ensure RMIT meets the Standards set for RTOs to ensure the validity of your work. 

For more information, see Assessment rules.

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