ES965-10 Problem Solving with Statistics
Many businesses and the sub-systems or processes on which they depend are the focus of "Continuous Improvement". Once the obvious changes have been completed it becomes increasingly difficult to identify a path which can lead to better performance, whether this involves progressing from Good to Excellent, from Acceptable to Good, or from Unacceptable to Acceptable. There are many tools and techniques which can be used to aid this quest, including those that have a basis in statistics.
This module describes the general context in which statistical techniques are appropriate, and when they are not. It indicates the basis of statistics as a means of modelling the system under consideration, and describes some of the tools for investigating processes, either to solve specific problems or to gain insights to support future development and improvement.
To gain experience and understanding of the following:
The development of Statistical models to represent "real life" systems.
The use of Statistical models in Problem Solving and Decision Making.
The relationship between Statistical methods and other Problem Solving techniques.
The extension of basic tools into more powerful techniques.
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Statistical models and "real world" systems.
Statistical Distributions (Continuous and Discrete).
Exploratory Data Analysis.
Sampling and Inference
Regression and Correlation
Introduction to Decision Analysis
Design of experiments.
By the end of the module, students should be able to:
- Understand and use statistical models in problem solving and decision making.
- Comprehensively understand the relationship between statistical methods and other problem solving techniques.
- Interpret the results of statistical analysis and apply that to real world problems.
- To critically evaluate the use of statistical models used to represent "real life" systems.
- To develop statistical models to represent "real life" systems.
- To be able to extend basic tools into more powerful techniques.
Indicative reading list
Data analysis with Microsoft Excel , Berk, Kenneth N.; Carey, Patrick
c2000 Duxbury Press 0534362788
Design and analysis of experiments, Montgomery, Douglas C. ,
2013, John Wiley & Sons, Inc 1118146921
Engineering statistics Montgomery, Douglas C.; Runger, George C.; Hubele, Norma Faris
2007 John Wiley 0471735574
Subject specific skills
Analysis, Modeling, use of software to support decision making.
Communication, organization, teamwork,
|Lectures||22 sessions of 1 hour 30 minutes (33%)|
|Seminars||6 sessions of 1 hour 30 minutes (9%)|
|Assessment||58 hours (58%)|
Private study description
No private study requirements defined for this module.
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Assessment group A1
|Assessed work as specified by department||100%||58 hours|
Departmental defined essay
Feedback on assessment
This module is Core optional for:
- Year 1 of TESA-H7Q0 Postgraduate Taught Manufacturing Systems Engineering & Management
- Year 1 of TWMS-H7Q7 Postgraduate Taught Manufacturing Systems Engineering & Management (China)
- Year 1 of TESS-H7Q5 Postgraduate Taught Manufacturing Systems Engineering & Management (HKPU)
- Year 1 of TESS-H7Q4 Postgraduate Taught Manufacturing Systems Engineering & Management (Hong Kong)
This module is Optional for:
- Year 1 of TESS-H7Q1 Postgraduate Taught Manufacturing Systems Engineering & Management
- Year 1 of TWMS-H33K Postgraduate Taught Sustainable Automotive Engineering
This module is Core option list C for:
- Year 1 of TWMS-H7BG Postgraduate Supply Chain and Logistics Management (awarded jointly with Hong Kong Polytechnic University)
- Year 1 of TESS-H7PE Postgraduate Taught Supply Chain and Logistics Management (Overseas and Self-Financing)
This module is Option list A for:
- Year 1 of TESS-H1PU Postgraduate Taught International Technology Management
This module is Option list B for:
- Year 1 of TESS-H1P2 Postgraduate Award in Engineering Business Management
- Year 1 of TESA-H1P7 Postgraduate Taught Engineering Business Management
- Year 1 of TESS-H1P1 Postgraduate Taught Engineering Business Management
This module is Option list C for:
- Year 1 of TWMA-H1NB Postgraduate International Trade, Strategy and Operations
- Year 1 of TESA-H7PD Postgraduate Taught Supply Chain and Logistics Management (Home Fees)