KB7044 - Engineering Management Data Analysis

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What will I learn on this module?

Analysis of data is an important task in many disciplines. Trends, correlation of variables, quality control and minimisation of hazardous events are some examples of application of data analysis. You will learn to analyse a range of engineering management problems, and you will build appropriate probabilistic models to support and arrive at sound decisions for non-trivial problems with the aid of computer software tools. You will learn specifically about the followings:

• The application of mathematical techniques to engineering management data analysis problems
o Univariate and multivariate analysis
o Correlation, regression and interpolation - dealing with variations and interpreting the output statistically
o Modelling of parameters involving uncertainty using a range of probability density functions, e.g. normal and beta distributions
• Probabilistic modelling of engineering problems using software tools
o analytical approach
o numerical approach
o Monte Carlo Simulation technique
• Integrating technicality into decision making support incorporating techno-economic, risk and other criteria
• Justification for a defensible solution under uncertainty and multiple criteria
• Documentation, presenting options using technical data, arguments for justifiable and defensible solutions to nontrivial problems.

How will I learn on this module?

You will learn through lectures and laboratory sessions. Assessment will offer learning opportunities both formally through the marking and feedback and informally through the discussions with tutors in and out of the classroom.

How will I be supported academically on this module?

Direct contact with the tutors will provide you with direct support both in class and through the eLearning portal. In addition our open door approach will offer you the opportunity to develop professional methods of engaging with support which will assist you as you progress in your career as an engineer.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

You will be able to:

Knowledge & Understanding:
1. Demonstrate systematic understanding and critical awareness of advanced and current problems in data analysis and decision support involving uncertainty and new insights
2. Demonstrate Conceptual understanding and critical evaluation of current research in uncertainty modelling as applied to engineering applications

Intellectual / Professional skills & abilities:
3. Critically formulate complex engineering management problems involving uncertainty both systematically and creatively, making rationale and defensible decisions in the presence of uncertainty and incomplete data

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
4. Develop and engage in logical arguments concerning engineering management data analysis within a technical report balancing technical, economic and risk considerations.

How will I be assessed?

Formal Marked Assessments

Coursework-Assignment (100%)
This will assess all of the MLOs. Within 20 days after the submission date, you will receive a feedback sheet with marks and comments on each task and sub-tasks.

Informal Assessment for Learning

You will be assessed on all learning outcomes during the workshop session. Discussion with the tutors and reflection on your performance will allow you to continuously monitor your performance and feed this forward for improvement.

Pre-requisite(s)

None

Co-requisite(s)

None

Module abstract

This module provides the students with in-depth knowledge of data analysis with a focus on engineering management through theoretical models that can be implemented on commercially available computer software tools. The module extends data analysis to incorporate modelling of engineering problems involving uncertainty involving multiple criteria considerations. The technical aspects of data analysis and the probabilistic modelling of problems supports the making of defensible decisions involving techno-economic, social and other criteria.

Course info

Credits 20

Level of Study Postgraduate

Mode of Study 1 year full-time
2 other options available

Department Mechanical and Construction Engineering

Location Ellison Building, Newcastle City Campus

City Newcastle

Start September 2019

Current, Relevant and Inspiring

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Your Learning Experience find out about our distinctive approach at 
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