Course Title: Apply Statistical Methods for Quality Control and Reliability

Part B: Course Detail

Teaching Period: Term1 2010

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

Nicholas.Cree@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:

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

2.1 OHS requirements for carrying out the work are followed

2.2 Industry codes, regulations and techn ical documentation are interpreted

2.3 Where appropriate, tables and graphs are used

2.4 The appropriate assumptions underlying statistical task are made

2.5 resources required are identified

2.6 Most appropriate computational method is selected

Element:

Select appropriate statistical method.

Performance Criteria:

3.1 OHS requirements are followed

3.2 Statistical operations are performed

Element:

Use of statistical calculators and/or computers for statistical computations

Performance Criteria:

4,1 OHS requirements are understood

4.2 Statistical task is performed

4.3 Decisions for dealing with unexpected situations are made

4.4 Methods for dealing with unexpected situations are selected on the basis of safety outcomes.

Element:

Verify and interpret results

Performance Criteria:

5.1 OHS requirements are followed.

5.2 results are verified and discussed with appropriate personnel

5.3 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

Classrooom lecture and workshop, walking excursion, guest speaker 


Teaching Schedule

Week one - introduction. Definitions.

Week two - run charts

Week three - run charts, and other trend charts.

Week four - control charts. Pareto charts.

Week five - histogram - theory and practice, including skewed data

Week six - scatter diagram and other quantitative charts

Week seven - administration of statistical analysis.

week eight  - Documentation

Week nine - case studies

Week ten - case studies

week eleven - review

Week twelve - quiz


Learning Resources

Prescribed Texts

Turner, J (2008) Handbook of Project Management


References


Other Resources

Class notes (weeekly, per topic)


Overview of Assessment


Assessment Tasks

Assessment one - report = 30%

Assessment two - classroom quiz (written) = 70%


Assessment Matrix

Course Overview: Access Course Overview