Short Title:Industrial Statistics & Quality
Full Title:Industrial Statistics & Quality
Module Code:STAT H4002
 
Credits: 5
Field of Study:Mechanics and metal work
Module Delivered in 6 programme(s)
Reviewed By:DIARMUID RUSH
Module Author:Liam Costelloe
Module Description:To provide the student with statistical tools for designing experiments, evaluating processes and predicting responses. This module will also provide the student with quality tools for supporting quality functions within a manufacturing organisation.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Design experiments involving a number of factors.
LO2 Analyse experimental data with the help of software
LO3 Communicate findings in a variety of formats
LO4 Evaluate the performance of a process
LO5 Explore the relationship between variables and attributes
LO6 Select a suitable model from among a number of alternatives
LO7 Demonstrate an understanding of quality management systems applicable to manufacturing, service, medical and pharma sectors.
LO8 Develop and implement a quality audit plan.
LO9 Discuss the important issues of supplier quality management and be able to perform supplier auditing, approval and rating.
LO10 Evaluate product quality
LO11 Understand the difference in teachings of quality gurus and describe different Quality Awards
 

Module Content & Assessment

Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Students will identify, create, execute, analyse and present a number of experimental designs. 1,2,3 10.00 Ongoing
Oral Examination/Interview Students will give an Oral Presentation of their project work from throughout the semester and answer questions. 3 5.00 Week 11
Assignment Students will investigate and report on how a quality related topic (eg Medical Device QMS, Vendor Rating Systems, Quality Awards, Audits) could be used to improve the performance of people, a process or a specific function. The student is required to submit a written report. 7,8,9,10,11 15.00 Week 10
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam End-of-Semester Final Examination 1,2,3,4,5,6,7,8,9,10,11 70.00 End-of-Semester

TU Dublin – Tallaght Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class Based Instruction 3.00 Every Week 3.00
Lab Laboratory and project work 1.00 Every Week 1.00
Independent Learning Time Independent Learning 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class based instruction 3.00 Every Week 3.00
Lab Laboratory and project work 1.00 Every Week 1.00
Independent Learning Time Independent Learning 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
 

Module Resources

Required Book Resources
  • James Reilly, Applied Statistics, www.statisticalsolutions.ie
Recommended Book Resources
  • Douglas C. Montgomery 2012, Statistical Quality Control, 7th Ed Ed., John Wiley & Sons [ISBN: 9781118322574]
  • Richard E. DeVor, Tsong-how Chang, John W. Sutherland 2007, Statistical quality design and control, Pearson/Prentice Hall Upper Saddle River, N.J. [ISBN: 0130413445]
  • Kenneth Koehler, 2012, Snedecor and Cochran's Statistical Methods, 9th Ed Ed., Blackwell [ISBN: 9780813808642]
  • David L. Goetsch, Stanley B. Davis 2015, Quality Management, 8th Ed Ed., Pearson Prentice Hall [ISBN: 0133791858]
This module does not have any article/paper resources
This module does not have any other resources
 

Module Delivered in

Programme Code Programme Semester Delivery
TA_EAMEC_B Bachelor of Engineering (Honours) in Mechanical Engineering 7 Mandatory
TA_EAUTO_B Bachelor of Engineering (Honours) in Mechanical Engineering (Automation) 7 Mandatory
TA_EAAUT_B Bachelor of Engineering (Honours) in Mechanical Engineering (Automation) (1 yr Add on) 7 Mandatory
TA_EMECH_B Bachelor of Engineering (Honours) in Mechanical Engineering [1 year Add-On] 7 Mandatory
TA_EAEEE_B Bachelor of Engineering (Honours) in Sustainable Energy Engineering 7 Mandatory
TA_ENEEE_B Bachelor of Engineering (Honours) in Sustainable Energy Engineering [1 Year Add-On] 7 Mandatory