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
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. |
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