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Evidence Guide: AURMKA001 - Manage motor sport data

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

AURMKA001 - Manage motor sport data

What evidence can you provide to prove your understanding of each of the following citeria?

Identify and confirm data acquisition requirements

  1. Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements
  2. Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted
Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Configure electronic data acquisition system

  1. Tools and material to support data acquisition process are selected and prepared
  2. Component rates, ratios and parameters for input sensors are calculated and entered into system math channels
  3. Sample rates most suited to particular data logging channel are entered
  4. System operation is checked according to manufacturer specifications and team requirements
Tools and material to support data acquisition process are selected and prepared

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Component rates, ratios and parameters for input sensors are calculated and entered into system math channels

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Sample rates most suited to particular data logging channel are entered

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

System operation is checked according to manufacturer specifications and team requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieve data

  1. Data acquisition system start-up procedure is carried out according to manufacturer procedures
  2. Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements
  3. Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements
  4. Data parameter variables and potential for inaccurate results are identified
Data acquisition system start-up procedure is carried out according to manufacturer procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data parameter variables and potential for inaccurate results are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Analyse data

  1. Sources of collected data are compared for consistency
  2. Data is analysed using mathematical processes
  3. Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes
  4. Possible reasons for trends and patterns are investigated
  5. Potential vehicle performance enhancement solutions are identified
  6. Problems with required data or operation of equipment are reported to appropriate persons
Sources of collected data are compared for consistency

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is analysed using mathematical processes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Possible reasons for trends and patterns are investigated

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Potential vehicle performance enhancement solutions are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Problems with required data or operation of equipment are reported to appropriate persons

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Present data

  1. End users of statistical data and their preferred format are identified
  2. Data is represented to meet end user needs
  3. Recommendations are documented and presented with supporting data
End users of statistical data and their preferred format are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is represented to meet end user needs

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Recommendations are documented and presented with supporting data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Complete work processes

  1. Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements
  2. Faults in acquisition systems and components are diagnosed
  3. Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures
Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Faults in acquisition systems and components are diagnosed

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify and confirm data acquisition requirements

  1. Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements
  2. Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted
Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Configure electronic data acquisition system

  1. Tools and material to support data acquisition process are selected and prepared
  2. Component rates, ratios and parameters for input sensors are calculated and entered into system math channels
  3. Sample rates most suited to particular data logging channel are entered
  4. System operation is checked according to manufacturer specifications and team requirements
Tools and material to support data acquisition process are selected and prepared

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Component rates, ratios and parameters for input sensors are calculated and entered into system math channels

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Sample rates most suited to particular data logging channel are entered

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

System operation is checked according to manufacturer specifications and team requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieve data

  1. Data acquisition system start-up procedure is carried out according to manufacturer procedures
  2. Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements
  3. Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements
  4. Data parameter variables and potential for inaccurate results are identified
Data acquisition system start-up procedure is carried out according to manufacturer procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data parameter variables and potential for inaccurate results are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Analyse data

  1. Sources of collected data are compared for consistency
  2. Data is analysed using mathematical processes
  3. Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes
  4. Possible reasons for trends and patterns are investigated
  5. Potential vehicle performance enhancement solutions are identified
  6. Problems with required data or operation of equipment are reported to appropriate persons
Sources of collected data are compared for consistency

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is analysed using mathematical processes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Possible reasons for trends and patterns are investigated

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Potential vehicle performance enhancement solutions are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Problems with required data or operation of equipment are reported to appropriate persons

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Present data

  1. End users of statistical data and their preferred format are identified
  2. Data is represented to meet end user needs
  3. Recommendations are documented and presented with supporting data
End users of statistical data and their preferred format are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is represented to meet end user needs

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Recommendations are documented and presented with supporting data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Complete work processes

  1. Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements
  2. Faults in acquisition systems and components are diagnosed
  3. Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures
Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Faults in acquisition systems and components are diagnosed

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

Elements

Elements describe the essential outcomes.

Performance Criteria

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold and italicised text is used, further information is detailed in the range of conditions section.

1. Identify and confirm data acquisition requirements

1.1 Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements

1.2 Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted

2. Configure electronic data acquisition system

2.1 Tools and material to support data acquisition process are selected and prepared

2.2 Component rates, ratios and parameters for input sensors are calculated and entered into system math channels

2.3 Sample rates most suited to particular data logging channel are entered

2.4 System operation is checked according to manufacturer specifications and team requirements

3. Retrieve data

3.1 Data acquisition system start-up procedure is carried out according to manufacturer procedures

3.2 Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements

3.3 Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements

3.4 Data parameter variables and potential for inaccurate results are identified

4. Analyse data

4.1 Sources of collected data are compared for consistency

4.2 Data is analysed using mathematical processes

4.3 Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes

4.4 Possible reasons for trends and patterns are investigated

4.5 Potential vehicle performance enhancement solutions are identified

4.6 Problems with required data or operation of equipment are reported to appropriate persons

5. Present data

5.1 End users of statistical data and their preferred format are identified

5.2 Data is represented to meet end user needs

5.3 Recommendations are documented and presented with supporting data

6. Complete work processes

6.1 Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements

6.2 Faults in acquisition systems and components are diagnosed

6.3 Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures

Required Skills and Knowledge

Elements

Elements describe the essential outcomes.

Performance Criteria

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold and italicised text is used, further information is detailed in the range of conditions section.

1. Identify and confirm data acquisition requirements

1.1 Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements

1.2 Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted

2. Configure electronic data acquisition system

2.1 Tools and material to support data acquisition process are selected and prepared

2.2 Component rates, ratios and parameters for input sensors are calculated and entered into system math channels

2.3 Sample rates most suited to particular data logging channel are entered

2.4 System operation is checked according to manufacturer specifications and team requirements

3. Retrieve data

3.1 Data acquisition system start-up procedure is carried out according to manufacturer procedures

3.2 Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements

3.3 Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements

3.4 Data parameter variables and potential for inaccurate results are identified

4. Analyse data

4.1 Sources of collected data are compared for consistency

4.2 Data is analysed using mathematical processes

4.3 Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes

4.4 Possible reasons for trends and patterns are investigated

4.5 Potential vehicle performance enhancement solutions are identified

4.6 Problems with required data or operation of equipment are reported to appropriate persons

5. Present data

5.1 End users of statistical data and their preferred format are identified

5.2 Data is represented to meet end user needs

5.3 Recommendations are documented and presented with supporting data

6. Complete work processes

6.1 Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements

6.2 Faults in acquisition systems and components are diagnosed

6.3 Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures

Before competency can be determined, individuals must demonstrate they can perform the following according to the standards defined in this unit’s elements, performance criteria, range of conditions and foundation skills:

configure data acquisition process for each of the following types of motor sport data on two occasions:

vehicle data

weather data

circuit data

driver or rider characteristics

acquire, analyse and present above acquired data.

Individuals must be able to demonstrate knowledge of:

work health and safety (WHS) and occupational health and safety (OHS) requirements relating to collecting and logging motor sport data, including procedures for identifying hazards and managing risks

types of motor sport data sources, including vehicle, weather, circuit and driver or rider

motor sport data acquisition systems, including:

types, characteristics, components, uses and limitations of signal devices and sensors

methods for determining component rates and ratios

configuration, inspection and system checks of data acquisition systems

operation of data acquisition systems and inputting of variables

data retrieval processes and techniques

data analysis principles, techniques and methodology, including associated mathematical formulas

types of statistical representations of motor sport data, including vehicle, weather, circuit, and driver or rider

data security and confidentiality procedures

data acquisition system inspection, maintenance and system check procedures, including data acquisition system fault diagnosis.

Range Statement

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.

Safety requirements must include:

work health and safety (WHS) and occupational health and safety (OHS) requirements, including procedures for identifying hazards and managing risks.