Course Title: Collect and manage data
Part B: Course Detail
Teaching Period: Term1 2016
Course Code: MATH7058C
Course Title: Collect and manage data
School: 155T Vocational Health and Sciences
Campus: City Campus
Program: C5305 - Diploma of Conservation and Land Management
Course Contact: Namrita Kaul
Course Contact Phone: +61 3 9925 4309
Course Contact Email: namrita.kaul@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Sally Heeps
email: sally.heeps@rmit.edu.au
Please note that Sally is a sessional teacher and is only at RMIT on Tuesdays and Fridays. She may not be able to respond promptly to your emails.
Please contact Namrita Kaul if the matter is urgent
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 competency standard covers the process of collecting, analysing and managing data.
It requires the ability to determine the type and extent of data to be collected, access and collate data, evaluate data,
manage, analyse and retrieve data. Collecting and managing data requires knowledge of data collection techniques and procedures,
data recording and evaluation techniques, data analysis and data storage and retrieval methods.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
AHCWRK502A Collect and manage data |
Element: |
1. Determine the type and extent of data to be collected |
Performance Criteria: |
1.1. Data requirements are clearly defined and communicated to all staff involved in data collection. |
Element: |
2. Access and collate data |
Performance Criteria: |
2.1. Data collection sheets are formatted to assist collection.
|
Element: |
3. Evaluate data |
Performance Criteria: |
3.1. Data collected is relevant, valid and sufficient. |
Element: |
4. Manage and retrieve data |
Performance Criteria: |
4.1. Data is stored by appropriate electronic means. |
Element: |
5. Analyse and interpret data |
Performance Criteria: |
5.1. Data is analysed using appropriate statistical and analytical techniques. |
Learning Outcomes
- Data is researched using appropriate methods and technologies.
- Data is collected from scientific sources and in the field.
- Data collected is analysed for relevance and validity.
- Data is stored by electronic means.
- Data is assembled and provided to client as required to industry standard.
- Data is analysed using appropriate statistical and analytical techniques.
- Findings based on analysis and interpretation are reported.
Details of Learning Activities
Within this course students will receive a 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. These are the collection of macroinvertebrate data and techniques for vegetation surveys.
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
1 | 9/02/16 | Introduction to Data Collection and Sampling Types of data Why survey? What is a hypothesis? |
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2 | 16/02/16 | Preparation for Assessment 1: What types of data are to be collected? What techniques are to be used? Data collection sheet |
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3 | 23/02/16 | Statistical terms - Simple Data analysis What are variables? Preparation for Assessment 1 – check of Data collection sheet |
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4 | 01/03/16 | Collecting tree data – practical at Royal Park gardens | Field trip - am |
5 | 8/03/16 | Enter Data collation of Assessment task 1 | |
6 | 15/03/16 | Results for assessment task one Data statistics What is validity? Sufficiency? Reliability? Relevant? |
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7 | 22/03/16 | Data statistics What is validity? Sufficiency? Reliability? Relevant? |
Assessment task 1 due |
8 | 5/04/16 | Macroinvertebrates and Waterwatch Planning Data Collection for Macroinvertebrates Data statistics Community Data collection |
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9 | 12/04/16 | Field trip prep | |
14/04/16 | Field trip to collect data | Field trip – Thursday | |
10 | 19/04/16 | Data entry Statistics and survey design |
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11 | 26/04/16 | Data collection problems | |
12 | 03/05/16 | No class | |
13 | 10/05/16 | Results Statistics |
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14 | 17/05/16 | Field trip prep | |
19/05/16 | Field trip to collect data | Field trip – Thursday | |
15 | 24/05/16 | Results Creating maps and graphs |
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16 | 31/05/16 | Assessment task 2 and 3 | Assessment task 2 and 3 due |
Semester Two schedule to follow
Learning Resources
Prescribed Texts
References
Other Resources
Overview of Assessment
- Collect data on vertebrate fauna and freshwater macroinvertebrate fauna.
- Prepare reports for clients (2 assessments).
- Analyse, evaluate and interpret data following field trips (2 assessments).
Assessment Tasks
There are seven assessment tasks for this course. Six formative assessments and one summative assessment as follows:
Formative Task 1 – Tree Study due 22/03/2016 10%
Formative Task 2 – Macroinvertebrate Survey scope due 31/05/2016 10%
Formative Task 3 – Collect macroinvertebrate data using Waterwatch technique, to be carried out in the field on the 12/04/2016 and 24/05/2016, assessment due 31/05/2016 10%
Formative Task 4 – Define project and Develop techniques for Data Collection of Vegetation Data due 29/07/2016 10%
Formative Task 5 – Data collection in a Vegetation survey to be carried out in the field on the 2/08/2016 and 20/09/2016, assessment due 27/09/16 15%
Formative Task 6 – Self assessment of data collection techniques due 4/10/2016 15%
Summative Task 1 – Major Report - Data analysis and Data Collection Report due 25/10/2016 30%
Assessment Matrix
Other Information
Assessment information
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 is lodged with the School Admin Office on Level 6, Bdg 51. Students requiring longer extensions must apply for SPECIAL CONSIDERATION.
- For missed assessments such as exams 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, 48 hours of the scheduled time of the assessment http://www1.rmit.edu.au/students/specialconsideration
Course Overview: Access Course Overview