In this year, you will study at one of our international partner universities. This will help you to develop your global outlook, expand your professional network, and gain cultural and personal skills. You will choose specialist modules relating to your degree as well as other modules from across the host university.

Students will learn how to process signals using techniques such as Fourier transforms, sampling, discrete time and space domains, and digital filtering, putting their knowledge into practice in MATLAB software which equips students with comprehensive knowledge of digital code used in engineering environments.

This module develops students’ ability to analyse engineering problems by creating and designing solutions to meet real-world industry needs through a combination of critical thinking and hands-on practical skills.

Students will be equipped with a wide range of skills to determine the most appropriate sampling and filtering methods for processing signals whilst also developing their ability to write computer programmes for data analysis, creating recommendations and designing solutions.

The module involves students completing an individual project. They are responsible for the research, management and the design/practical element of the project. They will be assigned a project title and project supervisor who will guide and advise throughout the project. The module aims to give students an in-depth knowledge of a specific, specialist area of their subject. They will learn professional software, design or experimental skills consistent with subject.

Students can choose a specific area of development from a vast range of possible outcomes, and they will work towards their personal goal. Students can gain knowledge and understanding of scientific principles and methodology necessary to underpin their education in their engineering discipline, to enable appreciation of its scientific and engineering context, and to support their understanding of historical, current, and future developments and technologies.

Alternatively, students may choose to develop the ability to apply quantitative methods and computer software relevant to their engineering discipline, in order to solve engineering problems. There will also be an opportunity for students to learn and apply quantitative methods and computer software relevant to their engineering discipline, in order to solve engineering problems. Students can also develop an understanding of customer and user needs and the importance of considerations such as aesthetics, along with workshop and laboratory skills.

Students will develop skills in analysing some commonly occurring machine elements during this module. Discovering how these devices work to support and transmit force and load, leads to better decision making in their selection and use as a machine component, either individually or as part of a more complex assembly.

Over the course of the module, students will develop the level of skill required to establish the geometry of contacts between bodies, including relative radii of curvature. They will be able to estimate stresses and loads between bodies at such contacts, and will understand how to carry out calculations on involute gear geometry. Additionally, students will learn to carry out calculations involving gear trains including efficiency and inertia considerations, and will gain the knowledge necessary to estimate the load capacity of plain (hydrodynamic) bearings. They will also develop their understanding of how loads are carried by bolted joints.

This module aims to provide all students with a firm understanding of mechatronic and robotic systems. The robotics elements of this course encompass a wide range of robotics fundamentals, as well as an introduction to advanced topics including artificial neural networks, fuzzy systems and future challenges in vision systems. A real-time programming challenge is set to enable Bradley, a bipedal robot to walk. Students will be encouraged to consider the practicalities of selecting drive systems with respect to key engineering principles relating to pneumatic and hydraulic systems, exploring the benefits and disadvantages of fluid power systems and application of these to advanced robotics and automation.

This module aims to equip students with comprehensive knowledge and understanding of power electronics and applications by learning methods of converting and inverting voltage signals and how to use them to drive electric motors. As electric vehicles and renewable sources of power are becoming increasingly important, the module will also cover applications in electric power utilities and renewable power, including wind and solar.

Students will develop an understanding of scientific principles and methodology of power semiconductor devices, power electronic converters, dc/ac motor drives and the applications and needs for high power electronic switches/converters in the electric power utility industry.

On completion of this module, students will be equipped with industry knowledge to apply their skills to meet real world engineering needs with confidence and professional and ethical responsibility.

This module provides fundamental understanding of the principals involved in the design and analysis of complex mechanical systems. The aim of this module is to develop students’ skills and abilities in mechanics, particularly in relation to mechanisms and linkages, balancing of rotating and reciprocating machinery and inertia forces in mechanisms. Students will gain experience in kinematics and kinetics of mechanisms, including velocity diagrams and instantaneous centres. Additionally, the module will introduce rigid body dynamics and motion described in various co-ordinate systems, along with balancing rotating and reciprocating equipment.

This module will enable students to use principles of forces and moments equilibrium (with inertia forces) to estimate the forces acting on rigid bodies that are accelerating in two dimensions. They will also use kinematic principles to relate displacements and velocities of points on linkages of rigid bodies. Additionally, the module will enhance the ability of the students to find the location of instantaneous centres in a linkage. They will then learn to apply the instantaneous centre method to investigate the velocities of points on a linkage.

Students will learn how to find the velocity of any point of selected planar mechanisms using velocity diagrams and the velocity image theorem. They will also develop the necessary knowledge to find the acceleration of any point of selected planar mechanisms using acceleration diagrams and the acceleration image theorem. Finally, students will apply the idea of energy conservation to ideal systems.

Introducing the concept of systems and systems design, this module addresses structured methods of functional decomposition, and provides insight into functional modelling and creative thinking tools.

Students will develop knowledge in the importance of a structured approach to system and product design, including the skills for eliciting, capturing and analysing customer requirements. The module will also introduce functional modelling methods for the analysis and synthesis of a set of requirements.

In addition, students will be able to demonstrate a theoretical understanding of a systemic approach to systems design. They will develop skills for eliciting, capturing and analysing customer requirements, and will gain a theoretical understanding of system design and how it relates to systems engineering and its principles through divergent and convergent thinking processes.

For MEng Mechanical Engineering students, this module is core for those choosing to follow either the Design Pathway or the Energy & Resources Pathway.

Students are provided with the opportunity to experience live projects over a significant period of time, working in multidisciplinary groups and in a team project environment. They will bring specialist knowledge from their own degree disciplines for the benefit of developing a multidisciplinary solution to the project being undertaken.

The group projects are typically developed in partnership with industry collaborators or, are based on research activity within the School of Engineering. This ensures that they are at the cutting edge of research and/or have an industrial focus.

Students will develop the ability to critically analyse and evaluate a project brief, providing input based on their individual degree specialisation such as nuclear, mechanical or mechatronics. Students will implement a project management system for documenting and tracking, the system will require the agreement of time-constrained deliverables that can be changed over time. They will also create a fully justified design brief for a product, process or service that is underpinned by specialist knowledge, and takes account of a critical engineering analysis of the topic under consideration.

Additionally, students will produce a working prototype, product or process that takes account of and incorporates subject specific knowledge and is consistent with the commercial drivers of industrial stakeholders. They will also demonstrate the ability to collect, store, analyse and recall large sets of data or results that can be interpreted by all members of the multidisciplinary group. Finally, an understanding of issues such as health and safety, risk, ethics, environment, National/European/International standards and other regulatory frameworks that are subject specific will be developed and must be adhered to.

This module aims to familiarise students with the issues involved in starting up and running a company in a technological area, and to introduce the concept of entrepreneur as a transformational leader. Work placements will allow students to develop an appreciation of engineering problems within an industrial context.

Students will participate in a company-based problem solving or a design project, and will improve their understanding of a particular technological problem depending on the nature of their company placement. Additionally, students will gain a theoretical basis of operations management, strategy and strategic development, accounting, customer value and marketing, as well as managing human resources. The module will enhance students’ ability to carry out basic financial analysis for example, to forecast the company's future performance, and will provide them with a theoretical basis and practical experience of problem solving and teamwork. Finally, students will gain a theoretical basis and some experience of the Human Resources aspects of business.

For MEng Mechanical Engineering students, this module is core for those choosing to follow either the Design Pathway, the Energy & Resources Pathway or the Materials and Manufacturing Pathway.

This module introduces students to the design and application of intelligent control systems, with a focus on modern algorithmic, computer aided design methods. Starting from the well known, proportional integral algorithm, essential concepts such as digital and optimal control are introduced using straight forward algebra and block diagrams. The module addresses the needs of students across the engineering discipline who would like to advance their knowledge of automatic control and optimisation, with practical worked examples from robotics, industrial process control and environmental systems, among other areas.

Students will gain an understanding of various hierarchical architectures of intelligent control and will be able to analyse and design discrete time models and digital control systems. Additionally, they will gain the necessary knowledge to design optimal model based control systems and identify mathematical models from engineering data. Students will also learn how to design and evaluate system performance for practical applications.

This module provides an understanding and the skills necessary for the interfacing and integrating of complex electro-mechanical computer control systems. Students will develop an awareness of future developments in interfacing technology. Students will gain an understanding of the principles of digital and analogue interfacing, and will be able to define and interpret interfacing requirements and device specifications.

Additionally, students will gain the level of knowledge required to design appropriate interface hardware, whilst resolving issues of signal amplitude, level shifting, polarity, impedance and drive, and using passive and active circuitry. They will also experience and resolve associated problems of power supply requirements, grounding and noise, and develop an awareness of EMC issues relating to the interface and external equipment. Finally, students will observe and understand the effect of timing and sample rate on typical input/output functions and control algorithms.

This module introduces students to the recent advances in artificial intelligence, machine learning, and cutting-edge deep learning methods. Students will learn how to examine the technologies that apply to various aspects of engineering, such as searching and planning algorithms, supervised learning, unsupervised learning, reinforcement learning, deep neural networks, convolution neural networks, recurrent neural networks, and generative adversarial network.

The module aims to equip students with key knowledge and understanding of their application in industrial robots, smart manufacturing, predictive maintenance, design optimisation and digital twin. Students will also learn how to implement the machine learning algorithms by practicing this in our labs, keeping the legal, social and ethical considerations in mind when applying machine learning technologies.

On successful completion of this module, students will be able to demonstrate the impact of emerging machine learning technologies by understanding the underlying principles of machine learning, typical algorithms, and deep learning methods. Students will be able to analyse real-world problems, such as design optimisation, manufacturing process optimisation, fault diagnosis and prognosis, and be able to design machine learning models to solve them.

Students will be educated in the importance of the mechanism and mechanical design requirements for products and systems. The mechanics of robotic manipulators will be covered, as will their use in manufacturing and their programming. The module will provide an understanding of actuator operating principles and an approach to their selection.

Additionally, students will gain knowledge of the meaning and significance of factors which determine the performance and stability of machine systems, such as structural stiffness, kinematic design, parasitic effects and load diffusion. They will be able to set out the scheme design of a machine/system which incorporates principles derived from this understanding, and will become skilled in analysing the dynamics of real systems by applying appropriate approaches. These include the formulation of actuator system models, time-series analysis and frequency response analysis.

Students will also be able to calculate the geometric and kinematic performance of a robotic arm, and will work out the drive forces or torques required for given loads on a robotic arm. Finally, students will gain an understanding of the principles of actuators and will be able to select them appropriately. They will also develop an appreciation for current advances in actuator technology.

For MEng Mechanical Engineering students, this module is core for those choosing to follow the Design Pathway.