KC7047 - Applied Engineering Statistics

A wide range of learning and teaching approaches are used in this module. The module will be delivered using a combination of lectures, seminars and practical sessions in which you will be able to obtain help with set problems and formal assessments associated with the module. Lectures will allow you to experience and understand the formalism of advanced statistical techniques and include relevant examples. You will have the opportunity to enhance your understanding of the subject through seminars which promote independent learning and tackle relevant problems. Formative feedback will be provided for problems in seminars and you will have the opportunity to problem solve within peer groups. The statistical rigour and group work associated with this module naturally increases employability and is a highly transferrable skill.

Summative assessment is composed of an individual assignment (50% of the module mark) and a group assignment in the format of a formal presentation incorporating peer assessment (50% of the module mark). The two assessments in combination will require you to analyse and solve problems associated with the module and assess all Module Learning Outcomes.

In addition to direct contact with the module team during lectures and seminars, you are encouraged to develop your statistical prowess by making direct contact with the module team either via email or the open door policy operated throughout the programme. During the module you will also be regularly referred to supporting resources including relevant texts and appropriate multimedia materials.

References to these resources will be made available through the e-learning portal and in lectures and seminars.

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)

Knowledge & Understanding:
1. Identify and quantify statistical trends and time behaviour of engineering data and systems (M1, M2)

Intellectual / Professional skills & abilities:
2. Develop, test and adapt statistical models, using various approaches and to critically appraise model suitability. (M3)
3. Postulate and implement linear and nonlinear models for engineering systems using problem-solving skills. (M1, M2, M3)

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
4. Manage time and resources effectively (M12)
5. Work effectively both individually and as a member of a team (M12, M17)

SUMMATIVE
- coursework (CW): This component is an Individual assignment based upon the use of mathematical and statistical analysis to solve complex engineering problems coursework (50%) – Assesses MLO1,MLO3,MLO4
- presentation (PRE): This component is a group based project based on the application of mathematical and statistical analysis to solve complex engineering problems coursework (50%) – Assesses MLO2,MLO5

FORMATIVE
- Seminar problems

Feedback is provided to students individually and in a plenary format both written and verbally to help students improve and promote dialogue around each assessment component.

None

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Applied Engineering Statistics is a module that showcases how statistical techniques can be used to solve engineering-based problems of both a regression and time series nature. Employability skills are enhanced via the use of a group-based assessment, culminating in a presentation. Skills in using statistical software will be developed through use of the open-source software R. Upon completion of the module you should be equipped to analyse data, interpret findings and form coherent inferences. The module serves as useful preparation for employment in a practical engineering environment and provides a good grounding for quantitative study as part of postgraduate study.