Part A: Course Overview

Course Title: Statistics of Quality Control and Performance Analysis

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH1316

City Campus

Postgraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

 Sem 2 2006,
Sem 1 2008,
Sem 1 2009,
Sem 2 2011,
Sem 2 2013,
Sem 2 2015

MATH1316

City Campus

Postgraduate

171H School of Science

Face-to-Face

 Sem 2 2017,
Sem 2 2019,
Sem 1 2021,
Sem 1 2023,
Sem 1 2025

Course Coordinator: Associate Prof. Mali Abdollahian

Course Coordinator Phone: +61 3 99252248

Course Coordinator Email: mali.abdollahian@rmit.edu.au

Course Coordinator Location: 15.04.06

Course Coordinator Availability: By appointment, or email


Pre-requisite Courses and Assumed Knowledge and Capabilities

Recommended Prior Study 

You should have satisfactorily completed or received credit for the following course/s before you commence this course:

If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer. 

Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning. 

Please follow the link for further information on how to apply for credit for prior study or experience. 


Course Description

This course provides important knowledge and skills for the applied scientist who needs to monitor and improve the quality of service or industrial processes. The course includes extensive use of various statistical computing software to analysis and evaluate the performance of services.


Objectives/Learning Outcomes/Capability Development

This course is an option course and will broadly contribute to the development of your program learning outcomes.  

For more information on the program learning outcomes for your program, please see the program guide. 


Upon successful completion of this course, you will be able to:  

  1. Elucidate techniques and concepts of Statistical Quality Control, Quality Assurance, Performance Analysis and Multi stream process control.
  2. Construct the appropriate Quality Control charts / Forecasting and critically discuss the role of such charts / models in monitoring a process.
  3. Assess the ability of a process to meet customer expectations.
  4. Develop an appropriate quality assurance plan to assess the ability of the service to meet its required national and international quality standard.


Overview of Learning Activities

  • Lectures where underlying theory will be presented.
  • Regular computer laboratory class that will reinforce the material covered in   lectures and independent study.
  • Assignments to practice the usage of software packages.


Overview of Learning Resources

 

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. 

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks: 

Assignment 1: Practical package utilisation and report writing on control charting  
Weighting 30% 
This assessment task supports CLOs 1, 2  

Assessment Task 2: Test
Weighting 30% 
This assessment task supports CLOs 1, 2, 3 

Assessment Task 3: Practical package utilisation and report writing on Performance Analysis and Quality Assurance  
Weighting 40%
This assessment task supports CLO 1, 2, 3, 4 

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.