Module Details

Module Code: ZQUA C2101
Module Title: Quantitative Methods and Quality Control 1
Title: Quantitative Methods and Quality Control 1
Module Level:: 6
Credits:: 5
Module Coordinator: Paula Rankin
Module Author:: Rachael Carroll
Domains:  
Module Description: The aim of this module is to develop the students' understanding of the statistical concepts and techniques used in science and their understanding of the role and benefits of quality systems in industry.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Calculate and interpret summary statistical measures and display data using statistical graphs and charts. Apply statistical tools to explore data.
LO2 Identify common probability distributions, in particular the normal distribution, and calculate associated probabilities.
LO3 Describe fundamental quality concepts and identify quality improvement methodologies.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Summary Statistics Data Organisation
Review of measures of central tendency and measures of dispersion. Data reduction, organisation and presentation. Population and sample, and data collection. Statistical critical thinking. Data cleaning.
Sampling and types of variables
Sampling techniques and introduction to probability distributions. Discrete and continuous random variables.
Fundamentals of Probability
Random variables and their associated probability distribution function. Examples of discrete random variables. Overview of general discrete probability distributions, common discrete probability distributions, including the Binomial and Poisson probability distributions.
Normal Distribution
Continuous random variables, probability density functions. The Normal Distribution. Use of tables. Applications of the Normal Distribution in the Biological Sciences. Indicators of normality and Normal Probability Plots.
Fundamental Quality Concepts
Definitions of Quality Control, Quality Assurance and Quality Management. Total Quality Management (TQM) and W Edwards Deming. Process model of quality and continous quality improvement.
Quality Standards
Definition of standards and standardization. Rationale, development and structure of standards. Standards supporting innovation. Accreditation and certification. GxPs. National and international standards bodies.
Economics of Quality
Definition and classification of quality costs, value of quality versus cost of quality. Problem solving tools including Pareto analysis, Vendor rating schemes, Flowcharting and Cause and effect analysis.
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment70.00%
Practical30.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Examination % of Total Mark 70
Timing n/a Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Quantitative Methods and Quality Control examinations and assessments
No Project
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 30
Timing n/a Learning Outcomes 1
Non-marked No
Assessment Description
Computer practicals and assessments.
No End of Module Formal Examination
Reassessment Requirement
Exam Board
It is at the discretion of the Examination Board as to what the qualifying criteria are.

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Qualtitative Methods and Quality Control 12 Weeks per Stage 4.00 48
Practicals Contact Computer Practical 12 Weeks per Stage 1.00 12
Estimated Learner Hours Non Contact No Description 15 Weeks per Stage 4.33 65
Total Weekly Contact Hours 5.00
 
Module Resources
Recommended Book Resources
  • Douglas C. Montgomery. (2019), Introduction to Statistical Quality Control, 8. Wiley, [ISBN: 9781119657118].
  • Brigitte Baldi,David S. Moore. (2018), Practice of Statistics in the Life Sciences, 4. WH Freeman, p.340, [ISBN: 9781319187606].
  • James T. McClave,Terry T Sincich. (2017), Statistics, Global Edition, Pearson Higher Ed, p.896, [ISBN: 9781292161563].
  • Barrie G. Dale. (2016), Managing Quality, 6. John Wiley & Sons, p.352, [ISBN: 9781119130925].
  • Signe Annette Bøgh, NSAI. (2015), A World Built on Standards: A Textbook for Higher Education, 1. POD, Danish Standards Foundation, [ISBN: 9788773109632].
  • John Murdoch,John Anthony Barnes. (1998), Statistical Tables for Students of Science, Engineering, Psychology, Business, Management, Finance, Palgrave Macmillan Limited, p.79, [ISBN: 0333558596].
This module does not have any article/paper resources
Other Resources
Discussion Note: