A wide range of learning and teaching approaches are used in this module. The module will be delivered using a combination of lectures and seminars in which students will be able to obtain help with problems associated with the module. Where deemed appropriate, computer laboratory sessions will be utilised to complement the taught material. Lectures allow students to experience and understand the formalism of the relevant mathematical techniques and include relevant examples. Seminars allow students to work through problems to develop their knowledge and skills, with the support of the tutor. Consequently, students have an opportunity to enhance their understanding of the subject through seminars which promote independent learning and tackle relevant problems. The mathematical rigour associated with this module naturally increases students’ employability and is a highly transferrable skill.

Students will be assessed by coursework (30%) and a formal examination (70%). The examination will cover all topics from the module. Written feedback will be provided on the coursework. Exam feedback will provided individually and also generically to indicate where the cohort has a strong or a weaker answer to examination questions.

In addition to direct contact with the module team during lectures and seminars, students are encouraged to develop their curiosity by making direct contact with the module team either via email or the open door policy operated throughout the programme. Students will also be regularly referred to supporting resources including relevant texts and relevant 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. Demonstrate critical knowledge and understanding of analytical and / or computational techniques to investigate a variety of case studies based on unsteady one-dimensional flow and irrotational flow problems, using the inviscid approximation.
2. Demonstrate a systematic understanding of the stream function approach to analyse flow.

Intellectual / Professional skills & abilities:
3. Apply and justify lubrication theory to analyse various bearing geometries.
4. Develop the boundary layer equations, obtain similarity solutions and obtain approximate solutions via the momentum integral equation, recognising the limitations of analytical approaches.

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

SUMMATIVE
• Assignment (30%) – 3, 4
• Examination (70%) – 1, 2, 3, 4

FORMATIVE
• Seminar problems – 1, 2, 3, 4


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

Informal feedback on work in progress is given continuously during seminars.

Formal feedback will be given directly after the coursework and the exam.

None

None

This module is designed to introduce fundamental concepts in Fluid Dynamics - an important topic in Applied Mathematics – using both analytical and computational techniques. We will introduce the Navier-Stokes equations and case studies will be used to visualise and analyse real-world problems (using appropriate software) as appropriate to delivery of the module. The second half of the module is a specialist course in laminar incompressible viscous flows, specifically considering high and low Reynolds number flows, and encompassing background mathematical theory allied to a case study approach, with solution to problems by both analytical and computational means. Assessment of the module is by one individual assignment (30%) and one formal examination (70%). The module is designed to provide students with a useful preparation for employment or postgraduate study in an applied mathematical or engineering environment.