Course Title: Collect and manage data

Part B: Course Detail

Teaching Period: Term2 2021

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: Thierry Demathieu, Program Manager

Course Contact Phone: +61 3 9925 8359

Course Contact Email: thierry.demathieu@rmit.edu.au

Name and Contact Details of All Other Relevant Staff

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

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

This unit applies to individuals who take personal responsibility and exercise autonomy in undertaking complex work. They 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 Research 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

Refer to 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 2020

Week No	Week Starting	Teaching schedule
1	6 July	Intro Intro to Assessment Task 1
2	13 July	Create a map Create a data sheet
3	20 July	Types of Data Data Collection Methods
4	27 July	Field Work Carlton Gardens
5	3 Aug	Preparation for Assessment Task 1 Field Work Thursday Aug 6 - Royal Park
	10 Aug	Collate Tree Data Using Excell for graphs
7	17 Aug	Statistical Terminology
8	24 Aug	EVC's
	31 Aug	Semester Break
9	7 Sep	No Class Monday Field Work Thursday September 10 - Dandenongs
10	14 Sep	Issues of Data Collection
11	21 Sep	No Class
12	28 Sep	No Class
13	5 Oct	Community Data Collection Macroinvertebrate Sampling Discussion of Assessment Task 3
14	12 Oct	No class Monday Thursday Field Trip Darebin Parklands Collect Data for Assessment Task 3
15	19 Oct	Collate Data for Assessment Task 3 Discuss Assessment Task 3
16	26 Oct	No Class

Learning Resources

Prescribed Texts

References

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 Task 1: Analysis of tree data report

Assessment Task 2: Vegetation data collection techniques

Assessment Task 3: Waterwatch: collecting macroinvertebrate data

Assessment Tasks

Date Details

Sun, 23 Aug 2021	Assignment Analyse Data Report due by 23:59
Sun, 6 Sep 2021	Assignment Veggie Data Collection due by 23:59
Sun, 25 Oct 2021	Assignment Water Watch due by 23:59

Assessment Matrix

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 and learning Support: 

Study and Learning Centre (SLC) provides free learning and academic development advice to you. 
Services offered by SLC 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 http://www.rmit.edu.au/studyandlearningcentre 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 http://www.rmit.edu.au/students/specialconsideration to find more information about special consideration 

Plagiarism: 

Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University. 

Please Refer: www.rmit.edu.au/academicintegrity to find more information about plagiarism. 

Course Overview: Access Course Overview