Course Title: Statistics of Quality Control and Performance Analysis

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

Course Coordinator: 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

 

Required Prior Study

You should have satisfactorily completed following course/s before you commence this course.

  • MATH1324 Introduction to Statistics (Course ID 012021)

Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.

Contact your course coordinator if you think you may be eligible for recognition of prior learning.


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 contributes to the following Program Learning Outcomes for MC004 Master of Statistics and Operations Research and MC242 Master of Analytics:

Knowledge and technical competence

  • An understanding of appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.

Problem-solving

  • The ability to bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
  • An understanding of the balance between the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.

Communication

  • The ability to effectively communicate both technical and non-technical material in a range of forms (written, electronic, graphic, oral), and to tailor the style and means of communication to different audiences.  Of particular interest is the ability to explain technical material, without unnecessary jargon, to lay persons such as the general public or line managers.

 


On completion of this course you should 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: Online Formative Assessment  
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.