Course Title: Collect and manage data

Part B: Course Detail

Teaching Period: Term2 2018

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 4837

Course Contact Email: namrita.kaul@rmit.edu.au

Name and Contact Details of All Other Relevant Staff

Dr Anna Moodie

anna.moodie@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

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
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

Details of Learning Activities

Learning activities include face to face classes, 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

Week No.	Date	Learning activity	Field trip	Assessment
1.	2/07/18	Class introductions Introduction to Data Collection Why survey? What is a hypothesis?
2.	9/07/18	Types of data What are variables? Data collection Creating a simple map
3.	16/07/18	Preparation for Assessment 1:  Exercise Carlton Gardens	Carlton Gardens
4.	23/07/18	Collecting Tree data at Royal Park Preparation for Assessment 1 – check of Data collection sheet	Royal Park
5.	30/07/18	Collection of Tree Data at Royal Park Preparation for Assessment task 1	Royal Park
6.	6/08/18	Use of excel for graphs Preparing graphs for Assessment Task 1		Assessment Task 1 due 12/8/18
7.	13/08/18	Statistical Terms - Simple Data Analysis What is validity? Sufficiency? Reliability? Relevant?
8.	20/08/18	Vegetation Sampling - Quadrats and Transects Preparation of Assessment Task 2	Thursday 23rd - Vegetation Sampling
	27/08/18	Mid Semester Break
9.	3/09/18	Macro-invertebrates and Waterwatch Community Data Collection Preparation for Assessment Task 3	Thursday 6th- Waterwatch at Darebin Wetlands
10.	10/09/18	Optional Class - Work on Assessment Task 2		Assessment Task 2 due 16/9/18
11.	17/09/18	Statistics Camp Preparation
12.	24/09/18	Wonthaggi Camp
13.	1/10/18	Vegetation Communities Work on Assessment Task 3		Assessment task 3 due 7/10/18
14.	8/10/18	Vegetation Communities of the Dandenongs	Thursday 11th- Dandenong Ranges
15.	15/10/18	Optional Class - work on Assessment task 4		Assessment task 4 due 28/10/2018
16.	22/10/18	Unit Reveiw Optional Student Interviews

Semester 2 schedule to be advised

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 Tasks

 

Assessments demonstrating competence	Title	Due Date	% Mark
1 Tree Study	Tree Study	12/08/2018	20%
2 Macroinvertebrate Survey Data Collection	Collect macroinvertebrate data using Waterwatch technique	9/09/18	40%
3. Practicals & Journal	Field work practicals and field work journal	21/10/18	40%

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 http://www1.rmit.edu.au/students/assessment/extension) at least 24 hours before the due date. The application should be emailed to the program Coordinator (namrita.kaul@rmit.edu.au) 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, 5 days of the scheduled time of the assessment http://www1.rmit.edu.au/students/specialconsideration
   

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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