KB7044 - Engineering Management Data Analysis

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.

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.

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)

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.

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.

None

None

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.