Short Title:Applied Stats & Reliability
Full Title:Applied Stats & Reliability
Module Code:STAT H3001
 
Credits: 5
Field of Study:Management and administration
Module Delivered in 1 programme(s)
Reviewed By:PHIL MULVANEY
Module Author:PHIL MULVANEY
Module Description:The aims of this module are: To expose students to some of the probabilistic and statistical techniques that are applicable to Technology Management and Quality Control; To equip students with an understanding of the underling principles by which those techniques were arrived at; To provide students with the necessary analytical skills required to deduce, interpret and critique statistical results and software output; To instil in students the ability to use statistical results to make informed managerial decisions.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Carry out a verity statistical and reliability calculations applied to various management and quality control scenarios.
LO2 Use statistical software to generate various quantitative and qualitative outputs corresponding to a variety of managment and quality control scenarios.
LO3 Identify what statistical or probability calculations are applicable to a given managerial problems
LO4 Use statistical results to improve various production and managerial methods.
LO5 Demonstate an understanding of what the results of statistical software output imply in the context of various management and production scenarios.
LO6 Display an understanding of the limitations of statistical inference in decision making.
 

Module Content & Assessment

Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Assignment Generate and interpret statistical quality control outputs using minitab for simulated data corresponding to various quality control scenarios. 2,4,5,6 20.00 Week 11
Continuous Assessment An in-class test on probabilty and statistical calculations. 1,3,4,6 10.00 Week 7
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 70.00 End-of-Semester

IT Tallaght reserves the right to alter the nature and timings of assessment

 

Module Workload

This module has no Full Time workload.
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture lectures on courses content 2.00 Every Week 2.00
Total Weekly Learner Workload 2.00
Total Weekly Contact Hours 2.00
 

Module Resources

Required Book Resources
  • Reilly, J 2006, Using Statistics, Gill & Macmillan Dublin
Recommended Book Resources
  • Douglas C. Montgomery 2009, Introduction to statistical quality control, 6 Ed., 5,6,7,8, John Wiley & Sons Hoboken, N.J. [ISBN: 978-0470169926]
  • Levine, M., Berenson, M., Stephan, D. and Krehbiel, T 2001, Statistics for managers using Microsoft Excel, 3rd Edition Ed., Prentice Hall New Jersey
  • O'Connor, P 2002, Practical Reliability Engineering, 4th Edition Ed., Wiley & Sons New York
This module does not have any article/paper resources
Other Resources
  • statistical software: Minitab 16
 

Module Delivered in

Programme Code Programme Semester Delivery
TA_BTECH_D Bachelor of Science in the Management of Innovation and Technology 6 Mandatory