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: 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
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
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 needed |
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
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 |
Week Starting |
Teaching schedule |
1 |
Week 1 |
Intro Intro to Assessment Task 1 |
2 |
Week 2 |
Create a map Create a data sheet |
3 |
Week 3 |
Types of Data Data Collection Methods |
4 |
Week 4 |
Field Work Carlton Gardens |
5 |
Week 5 |
Preparation for Assessment Task 1 Field Work Thursday Aug 6 - Royal Park |
Week 6 |
Collate Tree Data Using Excell for graphs |
|
7 |
Week 7 |
Statistical Terminology |
8 |
Week 8 |
EVC's |
|
Semester Break | |
9 |
Week 9 |
No Class Monday Field Work Thursday September 10 - Dandenongs |
10 |
Week 10 |
Issues of Data Collection |
11 |
Week 11 |
No Class |
12 |
Week 12 |
No Class |
13 |
Week 13 |
Community Data Collection Macroinvertebrate Sampling Discussion of Assessment Task 3 |
14 |
Week 14 |
No class Monday Thursday Field Trip Darebin Parklands Collect Data for Assessment Task 3 |
15 |
Week 15 |
Collate Data for Assessment Task 3 Discuss Assessment Task 3 |
16 |
Week 16 |
No Class |
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
| Week 7 |
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| Week 11 |
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| Week 16 |
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Assessment Matrix
COMPETENCY ASSESSMENT MAP Unit Code AHCWRK502
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 http://www.rmit.edu.au/students/enrolment/credit 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 https://www.rmit.edu.au/students/study-support 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 https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services 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 https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/assessment/special-consideration 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: https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/academic-integrity 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: https://rmit.libguides.com/environmentsustainableconservation
Course Overview: Access Course Overview