Subject Code : KB7044
Assignment Task:

Learning Outcomes
On successful completion of this assignment, you will:
1. 
Know how to perform correlation and regression analyses on a set of given data and interpret the results.
2. Perform straightforward statistical inferences.
3. Practice the principle of risk-based approach to data analysis through a mathematically case study with analytical and numerical approaches.
4. Use the probabilistic-based method so derived to support decision making under uncertainty.
5. Be able to carry out your own literature research prior to solving engineering decision making problems (in the form of an independent learning project) and present the result with an in depth discussion.

Introduction The assignment forms the main part of the portfolio for the assessment of the module KB7044 which consists of elements of research linked to the teaching and learning of this module. You are also expected to carry out research related to data analysis and decision making. You will need to demonstrate competency in two approaches of data analysis/modelling techniques to deal with variability and uncertainty through two given computation cases. In addition you will carry out an independent learning project involving modelling of a problem with uncertainty to support decision making.

Analytical Approach: Case 1 Company ABC designs and builds supporting structures for machinery. There have been a number of complaints about yielding (i.e. the actual stress of the section exceeds the yield stress of the material) of an important section of a given type of structure designed and built by the company. There is also a cause for concern for failure of the structure which will have a range of consequences from malfunctioning (reliability issues) to serious consequence leading to loss of lives and damage to both public and private properties (safety and risk issues). (Differences and similarities of reliability, quality and risk/safety are important and interesting areas for researchers and practitioners).

 

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  • Uploaded By : Mia
  • Posted on : July 11th, 2019
  • Downloads : 331

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