The aims of this module are to:

• equip students with basic mathematical tools useful in engineering
• demonstrate how mathematics can be used in engineering

The primary aim of the study of engineering mechanics is to develop in students a capacity to predict the effects of force and motion.

The aims of this introductory module are to:

• Introduce students to engineering as a professional multi-disciplinary activity through activities and projects that integrate new knowledge and understanding with taught material from other modules.
• Provide a project-based learning environment in which students can respond to project briefs and gain ongoing feedback from teaching and technical staff, as well as each other.
• Provide students with basic project delivery and management skills in order to develop an engineered solution in a team-based environment.
• Provide students with knowledge of professional skills along with opportunities for their career development using Personal Best.

Students will study projects which have been selected to be relevant to their Degree Programme. The project briefs will be introduced as the module progresses.

• teach the principles of the graphical language of engineering drawing and dimensioning to British Standards and to develop 2D and 3D visualisation skills;
• teach students to use Computer Aided Design software as an engineering design tool as well as using it to produce engineering drawings by manual techniques;
• develop practical workshop and manufacturing skills.

The aim of this module is:

• To introduce the fundamental properties of engineering materials through an understanding of the atomic and molecular interactions taking place within them.
• To provide an introduction to the technology of manufacturing processes and how their selection is influenced by, and subsequently affects, the material properties.

The aim of the module is to introduce fundamental principles and definitions in thermodynamics and fluid mechanics, providing students with the scientific foundations required to understand and analyse systems and fluid behaviour. The module will emphasise practical engineering applications, covering thermodynamics laws, fluid statics, and fluid dynamics, and will equip students with analytical and experimental skills to mechanical design, energy efficiency, and fluid machinery.

The primary aim of the study of engineering mechanics is to develop in students a capacity to predict the effects of forces and motion on engineering structures and materials.

The aim of the module is to improve computer literacy and to develop the ability to solve 'real' engineering problems by numerical methods.

The aim of the module is:

• To  develop the fundamental transferable skills and methodologies necessary for creating sound conceptual solutions to real design problems in an industrial context.
• To build confidence and provide experience through working within a team and with practising engineers from industry.

The aims of this module are:

• to give students an understanding of some advanced mathematical techniques which are applicable to problems in mechanical engineering;
• to ensure that students are competent in doing calculations using these techniques.

The aim of this module is to consolidate and build on the ideas and skills introduced in the first year Mechanics of Materials module WSA100. Students will be able to carry out strength and deflection analyses for a variety of simple load cases and structures, will understand the simplifications used in such analyses and appreciate the role of stress analysis and failure prediction in the design environment.

The aim of this module is to consolidate and build on the ideas and skills introduced in Engineering Mechanics module MMA100. Students will be able to develop their ability to model dynamic systems with particular reference to vibration analysis in practical engineering applications.

The aim of the module is to introduce modelling and control of dynamic systems using classical control techniques.

The aim of the module is to build on the basic thermodynamics knowledge gained in the prerequisite module (WSA800) and apply to real thermodynamic problems.

The aim of the module is:

• To give mechanical engineering students knowledge and understanding of electrical technology.
• To introduce electrical machines (generators and motors) and electrical power systems.

The aim of this module is to provide concepts, knowledge and techniques necessary to design functional mechanical systems appropriate for a range of design contexts, including the analysis thereof.

The aim of this module is to enable students to experience a consolidated form of the product design cycle for a load bearing structure through manual optimisation. This encompasses initial concept generation, analysis and refinement through to manufacture and testing. This will be achieved through group project work involving a supporting lecture programme and problem solving tutorials.

The aim of this module is to provide an introduction to the basic principles and practical applications of conduction, convection and radiation heat transfer.

The aims of this module are to:

• Develop further the steady, incompressible flow, fluid mechanics introduced in Thermofluids 1 & 2.
• To provide an introduction to differential governing equations and non-dimensionalisation.
• To provide an introduction to turbomachinery.
• To provide an introduction to compressible flow theory and problems.

The aims of this module are for the students to practice an aspect of engineering in a simulated professional situation whereby they:

•  develop the ability to work individually;
• apply knowledge gained in several subject areas in previous years;
• exercise initiative, imagination and creativity;
• gain experience in project planning, project implementation and communication of outcomes;
• demonstrate one or more of the following: advanced analysis and interpretation of data, advanced numerical modelling, synthesis of problem-solving methods, holistic approach to the design process;
• demonstrate proficient independence of thought and creation of knowledge.

More information to follow.

More information to follow.

The aim of the module is to enable students to understand the financial, legal and quality management principles that apply to the operational management of engineering organisations.

The aim of this module is to provide a fundamental understanding of the theory of hydrodynamic lubrication and classical Hertzian contact theory. An introduction is made to the mechanism of elastohydrodynamic lubrication. Important aspects of bio-tribology and nano-tribology are also briefly described.

The aim of the module is to develop conceptually the fundamentals of radiative heat transfer and numerical methods for conductive heat transfer.

The aim of this module is for the student to consider the potential of engineering solutions on the quest for sustainable development, to design and operate engineering systems to minimise the need for non-renewable energy and materials, to establish a circular use of resources, and to adhere to social and ethical standards.

The module will introduce and develop the concepts of seven Additive Manufacturing (AM) process categories. The module will emphasise the strengths and weaknesses of the various technologies and will highlight applications and case studies from the Additive Manufacturing (AM) industry.

The aims of this module are to strengthen and expand the students' fundamental knowledge of thermodynamics and to apply this to develop a better understanding of energy systems.

The aim of this module is to provide students with in-depth knowledge of lasers as manufacturing tools, enabling them to develop laser system solutions for industrial applications.

The aim of the module is to illustrate the principles and practice of engineering science applied to the processing and manufacture of products based on polymers.

The aim of the module is:

• To develop an analytical understanding of complex vibrating systems based on an initial awareness of dynamic phenomena from early parts of the degree programme.
• To introduce the basic principles of acoustics including measurement and analysis.

The aim of this module is to

• reinforce and further develop concepts of Kinematics and Kinetics and to apply formalised mechanics concepts to more realistic engineering situations.
• to prepare students to deal with engineering applications of rigid body kinematics and dynamics.

The aim of the module is to introduce students to the theory and practice of the finite element method, including capabilities and limitations of the finite element method and the practical problems involved in successfully modelling engineering structures and components.

The aim of the module is to introduce the student to modern digital image processing methods for image capture, enhancement, segmentation, analysis and machine vision for use in industrial applications.

The aim of the module is to give students an appreciation of the importance of factors such as the microstructure and processing on the corrosion and mechanical performance of materials in service.

The aims of this module are to provide students with a basic knowledge of criteria which determine how materials may fail in service, together with an understanding of properties and measurements related to materials failure and fracture.

The aim of the module is to enable students to use, evaluate, choose and implement CAE systems in the work environment.

The aims of this module are to:

• further develop multidisciplinary engineering knowledge;
• gain an understanding of the principles of ballistics and rocket propulsion.

The aims of the module are to provide students with an understanding of various energy vectors for transport (such as compressed hydrogen and battery systems), their production and distribution, storage methods, energy conversion devices, and vehicle architecture, while incorporating engineering principles, analysis, and design.

The aim of the module is to provide a realistic and substantial team project experience in engineering design.

The aim of this module is for students to gain an understanding of structured methods as applied to product design.

The aim of the module is for the student to develop Masters' level skills (in principle and in practice) of engineering science applied to the design of products based on the processing and properties of polymers and polymer composites.

The aim of the module is to gain an understanding of modern concepts of Structural Integrity and Failure Analysis of engineering components using analytical, numerical and experimental techniques.

The aims of this module are to:

• Understand principles of, Noise, Vibration and Harshness (NVH) issues and refinement/palliations in automotive drive train systems.
• Develop advanced modelling techniques and methods of solution of drive train engineering problems.
• Develop fundamental analytical understanding of multi-body dynamics.
• Develop experimental skills for NVH measurement in powertrain application.

The aims of this module are to:

• Introduce students to digital twins, its applications, challenges and future directions.
• Introduce students to the role of engineering dynamics in the design of digital twins.
• Teach the fundamental principles and methods to tackle engineering problems where dynamics play an important role.
• Teach students the use of numerical tools as an engineering design means.
• Teach students how to employ dynamics for the design and update of digital twins based on a practical example.

The aim of the module is to develop students integrated systems problem-solving skills relevant to mechatronics, including control strategies for typical industrial automation equipment working with various actuators and sensors.

The aim of this module is to provide a fundamental understanding of the theory of hydrodynamic lubrication and classical Hertzian contact theory. An introduction is made to the mechanism of elastohydrodynamic lubrication. Important aspects of bio-tribology and nano-tribology are also briefly described.

The aim of this module is for the student to consider the potential of engineering solutions on the quest for sustainable development, to design and operate engineering systems to minimise the need for non-renewable energy and materials, to establish a circular use of resources, and to adhere to social and ethical standards.

The module will introduce and develop the concepts of seven Additive Manufacturing (AM) process categories. The module will emphasise the strengths and weaknesses of the various technologies and will highlight applications and case studies from the Additive Manufacturing (AM) industry.

The aims of this module is to:

• Introduce the drivers (technical, environmental, societal) on the engineering development of automotive powertrain due to legislation (e.g. emissions requirements in different global markets) and customer demands (e.g. vehicle attributes required for different vehicle usage cases).
• Develop an appreciation of how fundamental engineering science (thermofluids, dynamics, materials science) can be applied to an interdisciplinary application.
• Develop skills in searching, selecting and reviewing technical literature focused on automotive powertrain technologies.
• Challenge students to apply their existing foundational understanding of (mechanical) engineering to a greater range and depth suitable for a research or industrial environment.

The aim of the module is:

• To provide practical skills in the organisation, management and leadership of projects.
• To explore human behaviour in teams and practise professional competences appropriate to a career in engineering management.

The aim of the module is to enable students to use, evaluate, choose and implement CAE systems in the work environment.

The aim of the module is to introduce students from a diverse range of engineering backgrounds to both the opportunities and constraints of engineering practice in healthcare, medicine and medical device industry. The module will have a focus on products, design and manufacture, innovation and exploitation in a regulated industry on emerging health technology products.

The aim of the module is for students to gain an understanding of the science and materials relating to sports equipment design and manufacture and to appreciate the significance of this industry sector.

The aims of this module are to:

• further develop multidisciplinary engineering knowledge;
• gain an understanding of the principles of ballistics and rocket propulsion.

This module aims to provide an in­ depth understanding of how business and industry will have to adjust their products mix, production structures, supply chains, environmental protection policies, business models and corporate social responsibilities based on the three pillars of sustainable development.

The module will introduce and develop the concepts of Reverse Engineering (RE) and further investigate the concept of Additive Manufacturing (AM), emphasising the complexities of such manufacturing methods.

Non-contacting optical metrology is used to measure and monitor the performance of mechanical components ranging from microscopic parts to buildings and aerospace structures. The aim of this module is to equip students with an up-to-date understanding of optical metrology and its application in digital engineering.

This module aims to give students an in-depth understanding of the development and application of optical diagnostics for the study of fluid flows. Students will study the fundamentals of optics, the basic operating principles of lasers, sensors and detectors, and optical diagnostic techniques, such as flow visualisation, laser doppler anemometry, phase doppler anemometry and particle image velocimetry. The module will include theoretical analysis of optical systems, the study of practical optical diagnostics for fluid mechanics, hands-on laboratory exercises and data analysis.

The aim of this module is to extend student knowledge and capability in modern digital image processing methods for image capture, enhancement, segmentation, and analysis, using a wide range of current Machine Learning algorithms including Bayes, Support Vector Machines, Linear and Logistic Regression, Decision Trees, Random Forests, and convolutional neural networks (CNN).