Course Title: Collect and manage data

Part B: Course Detail

Teaching Period: Term2 2020

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

Gay De Lisle

gay.de.lisle@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 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 Tasks

Date   Details
Sun, 23 Aug 2020
Assignment Analyse Data Report   due by 23:59
Sun, 6 Sep 2020
Assignment Veggie Data Collection   due by 23:59
Sun, 25 Oct 2020
Assignment Water Watch   due by 23:59


Assessment Matrix

Other Information

Assessment information

This course is graded in accordance with competency-based assessment
CA Competency Achieved
NYC Not Yet Competent
DNS Did Not Submit for assessment

To pass this course you need to achieve a satisfactory result for all assessments. Students may be given additional opportunities to demonstrate competence.

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. 

Course guides for Semester 2, 2020 were finalised and published before the semester started with all the teaching, learning and assessment information current at that time. Please note that some course guides may have small differences between Part A and Part B because of necessary changes (related to COVID-19) made to Part B during the semester.

Course Overview: Access Course Overview