Course Title: Apply Statistical Methods for Quality Control and Reliability

Part B: Course Detail

Teaching Period: Term1 2013

Course Code: MATH7041

Course Title: Apply Statistical Methods for Quality Control and Reliability

School: 130T Vocational Engineering

Campus: City Campus

Program: C6069 - Advanced Diploma of Engineering Technology

Course Contact: Program Manager

Course Contact Phone: +61 3 9925 4468

Course Contact Email: engineering-tafe@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Program Manager

+61 3 99254468

engineering-tafe@rmit.edu.au
 

Nominal Hours: 40

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 sets out the knowledge and skills required to apply statistical concepts and methods that are common to all engineering fields for the purpose of quality control. This includes averages, probability, frequency distributions, standard deviation, and quality control applications.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

VBP229 Apply Statistical Methods for Quality Control and Reliability

Element:

Identify statistical requirements

Performance Criteria:

1.1 OH&S and environmental requirements for a given work area are obtained and understood.
1.2 The statistical task is determined through requests, design briefs or equivalent and clarified with appropriate personnel.
1.3 Where appropriate expert advice is sought with respect to the statistical task and according to
enterprise procedures.
1.4 Safety hazards which have not previously been identified are documented and risk control measures devised and implemented in consultation with appropriate personnel.
1.5 Appropriate personnel are consulted to ensure the work is co-ordinated effectively with others
involved at the work site.
1.6 Resources and equipment needed for the task are obtained in accordance with enterprise procedures and checked for correct operation and safety.

Element:

Perform statistical computations

Performance Criteria:

4.1 OH&S and environmental requirements for a given work area are obtained and understood.
4.2 Statistical task is performed and results recorded.
4.3 Decisions for dealing with unexpected situations are made from discussions with appropriate personnel, job specifications and enterprise procedures.
4.4 Methods for dealing with unexpected situations are selected on the basis of safety and specified work outcomes.

Element:

Select appropriate statistical method.

Performance Criteria:

2.1 OH&S requirements for carrying out the work are followed.
2.2 Industry codes, regulations and technical documentation relevant to the statistical task are interpreted and understood.
2.3 Where appropriate, tables and graphs are used to obtain computational data.
2.4 The appropriate assumptions underlying the statistical task are made and recorded.
2.5 Resources required are identified, obtained and checked as fit for the purpose.
2.6 The most appropriate computational method is selected and can be justified.

Element:

Use of statistical calculators and/or computers for statistical computations

Performance Criteria:

3.1 OH&S requirements for carrying out the work are followed.
3.2 Statistical operations are performed.
3.3 All calculator/computer applications software functions can be used in computational sequences.
3.4 Statistical features of a scientific calculator are explained and exploited to efficiently perform computations.

Element:

Verify and interpret results

Performance Criteria:

5.1 OH&S requirements for completing the work are followed.
5.2 Results are verified and discussed with appropriate personnel.
5.3 Where appropriate results are graphed or charted.


Learning Outcomes


Identify statistical requirements

Perform statistical computations

Select appropriate statistical method.

Use of statistical calculators and/or computers for statistical computations
Verify and interpret results


Details of Learning Activities

Students will participate in a variety of learning and simulated work activities to demonstrate an understanding of the application of statistical methods for quality control and reliability encountered in meeting the workplace performance requirements and compliance standards.


Teaching Schedule

 Topics                                                                                      Resources

Exams                              

1

 Introduction, Definitions, Identification of engineering situations that require solution using probability considerations

 1 
2 Descriptive methods 6 
3 Descriptive methods  
4Probability6 
5 Data collection Metrology 1  
6 Data collection Metrology 2  
7Computer Laboratory  
8Computer Laboratory  
9Assessment Computer Laboratory 1 Assessment 1_Laboratory 1 (30%)
10Assessment Computer Laboratory 1 Assessment 1_Laboratory 1 (30%)
11

Probability distributions, Frequency distribution, Normal, Rectangular,

 2 
12 Probability distributions, Binomial & Poisson 3 
13

Adminstration of statistical skills, Computerized development, Quality manuals, Procedures, Software packages

 3 
14

 Computer sytem, Cost of non-conformance, Input of supplier history,  Computer control, Treaceability, Incoming materials receipts, material storage 

 4 
15Computer Laboratory  
16Computer Laboratory  
17Assessment Computer Laboratory 2 Assessment 2_Laboratory 2 (30%)
18Assessment Computer  Laboratory 2 Assessment 2_Laboratory 2 (30%)
19-20Assessment Assessment 3_Report due (40%)

Please note: while your teacher will cover all the materials in the schedule, the weekly teaching and assessment order is subject to change depending on class needs and availability of resources.Students are required to self study the learning materials for the hours not scheduled in teaching schedule.

 


Learning Resources

Prescribed Texts


References

Hines & Montgomery, Probability and Statistics in Engineering Management Science

 J Reason & A Hobbs, Managing Maintenance Error

J Ryall & J Kruitoff, The Quality Systems Handbook

J S Oakland, Total Quality Management, The Tools and the Improvement cycle

Dawling, Carew, Hadgraft Engineering your Future

A Selvanathan, G Keller & B Warrack, Australian Business Statistics


Other Resources

Class notes (weeekly, per topic)


Overview of Assessment


Assessment Tasks

The assessment is conducted in both theoretical and practical aspects of the course according to the performance criteria set in the National Training Package.

Assessment may incorporate a variety of methods including written/oral activities and demonstration of practical skills to the relevant industry standards.

Participants are advised that they are likely to be asked to personally demonstrate their assessment activities to their teacher/assessor.

Feedback will be provided throughout the course. To successfully complete this course you will be required to demonstrate competency in each assessment task detailed under Tasks section of the Course Guide Part B

You are required to complete all the following three assessment tasks:

Assessment one - Laboratory 1 = 30%

Assessment two - Laboratory 2 = 30%

Assessment three - Report = 40%


Assessment Matrix

Competency and grading information

Competency requirenments:

To be deemed competent students must satisfactorily demonstrate competence in all elements listed above. Assessment methods have been designed to measure achievment of each competency in a flexible manner over multiple tasks. students are advised that they will be asked to demonstrate their competence per class observation, student laboratory and reports.

All assessments for this course must be successfully completed to achieve a CA (Competency Achieved) Grade. Only if competency is achieved will a graded result be given using the coded choices listed below:

 

GradeGrade Level                                                    Competency Level                                                                             
CHDCompetent with high distinctionThe learner will confidently apply novel but relevant solutions to unfamiliar and complex tasks
CDICompetent with distinctionThe learner will confidently evaluate alternative solutions to an unfamiliar task or problem and use the most appropriate solution
CCCompetent with creditThe learner will elegantly apply facts rules and standard solutions to achieve an unfamiliar task or problem with confidence
CAGCompetency achieved gradedThe learner will be able to apply facts, rules and standard solutions to achieve a predictable task to solve a problem
NYCNot yet competentAlthough the learner exhibits access to a limited range of facts and rules, the learner has difficulty applying these facts and rules to a familiar task

 

 Assessment types and elements:

                                             WeightingElements
1Assessment 1 - Laboratory 130%All
2Assessment 2 - Laboratory 230%All
3Assessment 3 - Report40%All

Other Information

Course Information

Please note while your teacher will cover all the materials in the schedule the weekly teaching and assessment order is subject to change depending on class needs and the availability of resources. Students are required to self study the learning materials and complete the assigned out of class activities for the scheduled non-teaching hours.

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.

Students are strongly encouraged to make full use of this service.

Disability Liaison Unit:

If you are suffering from long-term medical condition or disability, you should contact Disability Liaison Unit to seek advice and
support to complete your studies.

Please Refer http://www.rmit.edu.au/disability to find more information about services offered by Disability Liaison Unit

Special Consideration:

Special consideration is a variation to an assessment which takes into account the impact of unexpected or extenuating circumstances which have affected a student’s performance in an assessment or prevented them from attempting an assessment task including an examination.

 

Please Refer http://www.rmit.edu.au/browse;ID=riderwtscifm to find the latest  information about the purpose eligibility and process of special consideration and the online form.

If you seeking an Extension of Submittable Work for more than 7 calendar days (from the original due date) you 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.

Assessment Work (assignments, reports or project work etc.) submitted late without an approved extension will not be accepted or marked.


Plagiarism:

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


Email Information:

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails: suggest daily

Course Overview: Access Course Overview