Modules

Building on the module “Foundations of Programming” where you are introduced to event-driven programming, this module aims to enhance your programming skills through use of Object Oriented Programming (OOP) in Python. It will provide both a theoretical and practice led insight into the fundamentals and advanced concepts of OOP through a range of problems and scenarios/hands-on exercises.

The module will also familiarise you with theoretical and practical aspects of data acquisition and data analysis to develop your skills in creating systems and processes that are responsive to live real-world data. 

Finally, you will be introduced to software development techniques and concepts, such as the use of GIT for version control and tracking changes in source code during development.

The module will be taught using lectures, tutorials and hands-on programming exercises.

This module aims to continue building a solid mathematical foundation and builds on the year one Engineering Mathematics and Systems Modelling module.

Specifically, this module introduces more advanced topics related to the analysis of a wide variety of engineering systems, and aims to develop the skills in the application of more advanced mathematics and systems modelling concepts and tools that underpin many areas of Engineering.

In addition, the module aims to consolidate the development of problem solving and modelling skills as required in other year two modules. We also aim for you to be equipped with the skills to tackle advanced material in modules taught in later years, and to tackle problems you will work on during workplace rotations and in the later stages of your engineering careers.

The module aims to provide you with an understanding of digital systems and their applications. It puts them into context as core components of computer architecture. 

The main focus is to understand digital systems and low-level computer architecture elements such as memories, arrays, Input/Output, and processes. It also shows the interconnection and role of the various layers from a device, through assembler, to programming and communication with other devices or systems. 

This module aims to introduce the underlying concepts and applications of dynamics and vibration, and to explain how these apply to engineering systems. In this course, you will learn topics in dynamic mechanics including kinematics of different types of planar motion, force-momentum formulation for systems of particles and rigid bodies, impulse; bodies in rotation; work and power; torque, angular momentum and energy; and vibration.

This module aims to develop an understanding of the main techniques for modelling, analysis and design of practical continuous-time control systems. It covers the underlying concepts and applications of control theory to engineering systems, with particular emphasis on electromechanical systems.

The case studies underpin the usage of well-established analytical techniques for estimating the behaviour of single-input single-output systems under both steady-state and transient conditions.

The primary goal of this module is to cultivate the skills necessary for understanding, modelling, and analysing heat transfer and fluid flow, and to apply these skills to diverse engineering systems adeptly.

The fluid mechanics component includes an introduction to fluid properties, followed by applying the principles of conservation of mass and momentum to broadly-defined engineering problems. The behaviour of fluids in pipes and over solid bodies will be thoroughly explored, and dimensional analysis and pi-theorem will be used to analyse thermofluids problems.

The heat transfer component will introduce different heat transfer mechanisms (conduction, convection and radiation), formulating them to analyse the steady-state and transient heat transfer problems. Both analytical and numerical methods will be used to analyse broadly-defined engineering problems.  

You will work three days per week on real engineering problems related to the development of consumer electronic problems and develop a portfolio of knowledge skills and deliverables. This could be product problems on new technology or continuous improvement activities for the team or products. You will work in small teams with support from a line manager and technical mentor to help define the problem(s) and provide guidance.

The workplace rotations give you the opportunity to develop and apply knowledge and skills from the taught modules on real product development problems. By the end of year two you will have developed a broad range of knowledge, skills and behaviours as well as connections across the Dyson business allowing them to solve multidiscipline engineering problems.

During the software rotation you will work in one team which could include but is not limited to: Cloud, Embedded, Intelligent machine, or App.

You will work three days per week on real engineering problems related to the development of consumer electronic problems and develop a portfolio of knowledge skills and deliverables. This could be product problems on new technology or continuous improvement activities for the team or products. You will work in small teams with support from a line manager and technical mentor to help define the problem(s) and provide guidance.

The workplace rotations give you the opportunity to develop and apply knowledge and skills from the taught modules on real product development problems. By the end of year two you will have developed a broad range of knowledge, skills and behaviours as well as connections across the Dyson business allowing them to solve multidiscipline engineering problems.

During the NPI rotation you will work in one team which could include but is not limited to: Beauty products, New Concepts, or Industrial Design.

Sound impacts on our daily lives in many ways, from the safety and comfort of the environments in which we live and work, to the functionality of the products that we use. The aim of this module is to provide you with a solid understanding of the fundamental principles of acoustics, including the origins of sound, how we perceive it, and the subsequent implications for product design.

The module will cover the underlying physics of sound and sound propagation, introducing the one-dimensional wave equation; along with time- and frequency-domain representations of sound signals. Approaches for the measurement and analysis of sound will be introduced and discussed, with an emphasis on practical applications in industry.

You will also learn about noise control and mitigation strategies, with an overview of noise legislation and its application to products and the environment. By the end of this module, you will be able to analyse and design products and environments that effectively control noise and optimise acoustic performance.

This module starts with a recap on deriving fundamental conservation laws for fluids (mass, momentum, and energy). It demonstrates the application of these equations for solving simple flow problems. This will be expanded further by focusing on the classical theory of fluid dynamics by covering viscous flows, emphasising boundary layers, potential flows, turbomachinery fluid dynamics, and compressible flows.

The module will introduce advanced numerical methods which can be used to solve the governing equations of fluid flow and turbulence. This numerical approach is often referred to as Computational Fluid Dynamics (CFD). You will learn to utilise conservation laws to derive the governing equations of fluid dynamics and then to apply the finite volume method to transform these governing equations into a set of linear algebraic equations which can then be solved computationally.

You will also be provided with a general understating of turbulence and the nature and structure of turbulent flows as well as turbulence modelling and its application in CFD. These skills will be applied to solve a number of complex but industrially relevant flow problems.

In the first part, the module will aim to develop your abilities to understand, model and analyse advanced thermodynamics theories and systems and apply these to engineering systems. The advanced thermodynamic cycles component will include the analysis of real power heating and cooling systems using thermodynamic principles. In the second part of this module, the theories and applications of heat transfer as well as mass transfer will be introduced, and you will be equipped with the knowledge and skills required to solve problems for the design, assessment, and analysis of heat and mass transfer processes.

This module aims to understand and appreciate appropriate manufacturing technologies and the role of material selection and metrology in a production environment. 

Comprehensive knowledge of manufacturing techniques is vital for many engineering disciplines, including mechanical, electronics, industrial and manufacturing. The module will cover a range of conventional and non-conventional manufacturing. 

The module will provide an insight into the technical aspects of manufacturing and highlight processing considerations and common defects for both new emerging manufacturing processes as well as traditional processes.

In this module, you will develop an understanding of how to use computers and manufacturing technology to produce a heterogeneous mix of products in small or large volumes with both the efficiency of mass production and the flexibility of custom manufacturing in order to respond quickly to customer demands.

This module briefly reviews concepts of stress analysis used to determine the stress, strain and deflection of mechanical parts, and also fundamental approaches to failure prevention under static and repeated loading. The module mostly focuses on the study of kinematics and design of machinery and related mechanical components, with the aim to introduce fundamental principles of interaction between load and deflection in machinery design, and to develop practical design methodology with emphasis on applications (sizing of parts and selection of materials) and synthesis of mechanical components such as shaft, joints, belts, bearings, and gears.

The module provides a deeper understanding of the principles of operation of mobile robots and future robotic applications outside the factory. It focuses on the methodology used for modelling, planning, control and localisation of mobile robots in both structured and unstructured environments.

The focus is on wheeled robots, which are the most common, however the techniques introduced are general enough to be applied to any mobile robot. A part of the course is devoted to recent techniques in robotic perception and on-board intelligence that are deemed to play a relevant role in the coming years.

This module aims to introduce techniques and tools for modelling, predicting, and analysing the behaviour of dynamic systems; and to introduce concepts, principles and techniques employed in classical methods of control systems design and signal processing.

Signal Processing can analyse, modify, and enhance various signals, audio, video, and communication signals. It supports and enhances interfaces between humans, between machines and between humans and machines. This module provides a detailed knowledge base for the theoretical and practical techniques used in discrete-time systems. It aims to develop your skills in designing digital filters and using Fourier transform techniques.

Several digital image processing techniques will be introduced and then used in simulations and practical laboratory sessions.

The module aims to present the major components of a practical software lifecycle through team-based software engineering. This includes analysis, design, development, testing, maintenance, and aspects of documentation.

You will be introduced to, and asked to carry out, prototyping, software design and implementation, and testing. You'll also learn how to manage a project, inclusive of the software elements, which includes user requirement elicitation, user presentation, and feedback capture.

The module will also cover the important factors relating to software quality including functionality, reliability, usability, portability, and maintainability.

This module reviews concepts of statics and strength of materials used to determine the stress, strain and deflection of structures, and introduces fundamental approaches to failure prevention for static and repeated loading.

The module continues by introducing mathematical and numerical methods to simulate structural problems by modern engineering tools and packages. It will further enhance both theoretical and practical appreciation of CAD and matrix analysis of structures, whilst introducing the supporting role of Finite Element Method (FEM).

The purpose of this module is to demonstrate dynamical performance of rotors and also to solve problems such as synchronous and non-synchronous whirl, sensitivity to unbalance, threshold of instability, torsional behaviour of branched systems, the analysis of steady and cyclic stress distributions caused by unbalance and other vibration phenomena.

The aim of project work is to undertake a piece of independent study that will draw on the knowledge and skills acquired during the programme. The project will deepen comprehension of principles and methods by applying them to a problem in the workplace. You'll develop enhanced knowledge and understanding of the engineering-related aspects of their project. Typically, you'll develop skills in qualitative and quantitative analysis, risk assessment, problem solving using appropriate methodologies, research and information gathering as well as planning and designing an experiment. Generic skills developed during projects will include using appropriate engineering analysis software and IT tools, adhering to research ethics processes and health & safety requirement, oral/written communication, project and time management, computing and IT, self-discipline and self-motivation.

Starting in the summer of year two and through the Autumn you will have the opportunity to work in manufacturing teams and develop a portfolio of knowledge skills and deliverables. You will work on real engineering projects related to the manufacture of consumer electronic products.

You'll work in small teams with support from a line manager and technical mentor to help define the problems and provide guidance. As part of the rotation you'll have the opportunity to work with international colleagues and learn how to manage projects across time zones and cultures. 

You'll gain first-hand experience of modern manufacturing processes and the challenges associated with transitioning from design to production.

After the manufacturing rotation, you will join your permanent home team. The home team is selected by you (subject to business needs and capacity constraints) and is aligned to your stream of study.

You will work on real engineering projects related to the manufacture of consumer electronic products. Your project work will cover three days a week, and you’ll be supported by your line manager and technical mentor to work to solve problems in small teams.  

During this placement, you’ll be working at the level of a university graduate with increased responsibility. You'll work on current engineering challenges across multidisciplinary project teams, owning the performance of parts or systems. 

The module aims to provide you with the ability to analyse and design analogue electronic circuits. You will be able to use electronic design automation tools, for different simulation analyses. It will encompass typical functions of analogue circuits: voltage and current references, operational amplifiers (internal topology and their utilisation in different closed-loop circuits), filters, signal conditioning, comparators, oscillators and signal generators.

You will be encouraged to explore and compare the performance of different circuits with the same functionality.

The module will present the fundamentals of embedded systems including the microcontrollers’ architecture, programming languages, combinational logic, and practical examples to show the trade-offs between power, performance, and cost. A state-of-the-art microcontroller development suite will be used to analyse various aspects of embedded systems’ hardware as well as the conversion between analogue and digital signals given the application of sensors/actuators in an industrial context.

This module aims to show how power electronics, modern electric motors and control theory underpin modern electric drives. Characteristics of standard and bespoke AC motors will be analysed in context of different control approaches, focusing on vector control and direct-torque control. Applications will include appliances, robotics and electric vehicles.

This module introduces the concept, implementation and applications of digitally enabled objects that can transfer data over a network without requiring human-to-human or human-to-computer interaction.

The potential of Internet of things (IoT) in an industrial context for automating specific tasks such as industrial machine control, self-diagnostics in machines and predictive maintenance will be introduced. Different IoT systems architecture and programming techniques will be taught to acquire and process data using hardware kits such as Raspberry Pi, microcontrollers, energy monitors and PLCs.

This module aims to provide a comprehensive exploration of core principles and practical methodologies in machine learning. With a strong emphasis on real-world applications, it will equip you with the skills required to harness the potential of data science. Encompassing areas such as data quality, predictive modelling, image processing, ethical considerations, and challenges within low-resource machine learning, the module prepares you for practical engagement.

By fostering proficiency in data handling and predictive modelling, the curriculum encourages the translation of theoretical knowledge into practical contexts. Ethical dimensions inherent in data science and the intricacies of low-resource environments are thoughtfully examined, nurturing ethical decision-making and effective resource optimisation strategies.

By the end of this module, you will be well-versed in applied machine learning, positioned to navigate complexities and make meaningful contributions to the dynamic and evolving domain of data science and machine learning.

This module aims to understand and appreciate appropriate manufacturing technologies and the role of material selection and metrology in a production environment. 

Comprehensive knowledge of manufacturing techniques is vital for many engineering disciplines, including mechanical, electronics, industrial and manufacturing. The module will cover a range of conventional and non-conventional manufacturing. 

The module will provide an insight into the technical aspects of manufacturing and highlight processing considerations and common defects for both new emerging manufacturing processes as well as traditional processes.

In this module, you will develop an understanding of how to use computers and manufacturing technology to produce a heterogeneous mix of products in small or large volumes with both the efficiency of mass production and the flexibility of custom manufacturing in order to respond quickly to customer demands.

Modern electronic equipment, domestic and industrial alike, requires energy delivered to it to enable adequate, efficient and flexible operation. Power electronics is used for processing power rather than information, and energy systems (including storage) are used to assist in the efficient and effective delivery of energy where and when it is required.

This module aims to introduce the concepts of power electronic devices and their usage for power processing, conversion, and control purposes, and energy systems and their usage including batteries and battery technology. The module will present a range of applications of power electronics and energy systems, from power supplies for laptops and electronic devices, batteries for mobile and in modern applications such as electric vehicles to motor drives in appliances such as consumer electronics, robotics and electric vehicles.

The module provides a deeper understanding of the principles of operation of mobile robots and future robotic applications outside the factory. It focuses on the methodology used for modelling, planning, control and localisation of mobile robots in both structured and unstructured environments.

The focus is on wheeled robots, which are the most common, however the techniques introduced are general enough to be applied to any mobile robot. A part of the course is devoted to recent techniques in robotic perception and on-board intelligence that are deemed to play a relevant role in the coming years.

This module aims to introduce techniques and tools for modelling, predicting, and analysing the behaviour of dynamic systems; and to introduce concepts, principles and techniques employed in classical methods of control systems design and signal processing.

Signal Processing can analyse, modify, and enhance various signals, audio, video, and communication signals. It supports and enhances interfaces between humans, between machines and between humans and machines. This module provides a detailed knowledge base for the theoretical and practical techniques used in discrete-time systems. It aims to develop your skills in designing digital filters and using Fourier transform techniques.

Several digital image processing techniques will be introduced and then used in simulations and practical laboratory sessions.

The module aims to present the major components of a practical software lifecycle through team-based software engineering. This includes analysis, design, development, testing, maintenance, and aspects of documentation.

You will be introduced to, and asked to carry out, prototyping, software design and implementation, and testing. You'll also learn how to manage a project, inclusive of the software elements, which includes user requirement elicitation, user presentation, and feedback capture.

The module will also cover the important factors relating to software quality including functionality, reliability, usability, portability, and maintainability.

The aim of project work is to undertake a piece of independent study that will draw on the knowledge and skills acquired during the programme. The project will deepen comprehension of principles and methods by applying them to a problem in the workplace. You'll develop enhanced knowledge and understanding of the engineering-related aspects of their project. Typically, you'll develop skills in qualitative and quantitative analysis, risk assessment, problem solving using appropriate methodologies, research and information gathering as well as planning and designing an experiment. Generic skills developed during projects will include using appropriate engineering analysis software and IT tools, adhering to research ethics processes and health & safety requirement, oral/written communication, project and time management, computing and IT, self-discipline and self-motivation.

Starting in the summer of year two and through the Autumn you will have the opportunity to work in manufacturing teams and develop a portfolio of knowledge skills and deliverables. You will work on real engineering projects related to the manufacture of consumer electronic products.

You'll work in small teams with support from a line manager and technical mentor to help define the problems and provide guidance. As part of the rotation you'll have the opportunity to work with international colleagues and learn how to manage projects across time zones and cultures. 

You'll gain first-hand experience of modern manufacturing processes and the challenges associated with transitioning from design to production.

After the manufacturing rotation, you will join your permanent home team. The home team is selected by you (subject to business needs and capacity constraints) and is aligned to your stream of study.

You will work on real engineering projects related to the manufacture of consumer electronic products. Your project work will cover three days a week, and you’ll be supported by your line manager and technical mentor to work to solve problems in small teams.  

During this placement, you’ll be working at the level of a university graduate with increased responsibility. You'll work on current engineering challenges across multidisciplinary project teams, owning the performance of parts or systems. 

The module aims to provide you with the ability to analyse and design analogue electronic circuits. You will be able to use electronic design automation tools, for different simulation analyses. It will encompass typical functions of analogue circuits: voltage and current references, operational amplifiers (internal topology and their utilisation in different closed-loop circuits), filters, signal conditioning, comparators, oscillators and signal generators.

You will be encouraged to explore and compare the performance of different circuits with the same functionality.

The module will present the fundamentals of embedded systems including the microcontrollers’ architecture, programming languages, combinational logic, and practical examples to show the trade-offs between power, performance, and cost. A state-of-the-art microcontroller development suite will be used to analyse various aspects of embedded systems’ hardware as well as the conversion between analogue and digital signals given the application of sensors/actuators in an industrial context.

This module aims to show how power electronics, modern electric motors and control theory underpin modern electric drives. Characteristics of standard and bespoke AC motors will be analysed in context of different control approaches, focusing on vector control and direct-torque control. Applications will include appliances, robotics and electric vehicles.

This module introduces the concept, implementation and applications of digitally enabled objects that can transfer data over a network without requiring human-to-human or human-to-computer interaction.

The potential of Internet of things (IoT) in an industrial context for automating specific tasks such as industrial machine control, self-diagnostics in machines and predictive maintenance will be introduced. Different IoT systems architecture and programming techniques will be taught to acquire and process data using hardware kits such as Raspberry Pi, microcontrollers, energy monitors and PLCs.

This module aims to understand and appreciate appropriate manufacturing technologies and the role of material selection and metrology in a production environment. 

Comprehensive knowledge of manufacturing techniques is vital for many engineering disciplines, including mechanical, electronics, industrial and manufacturing. The module will cover a range of conventional and non-conventional manufacturing. 

The module will provide an insight into the technical aspects of manufacturing and highlight processing considerations and common defects for both new emerging manufacturing processes as well as traditional processes.

In this module, you will develop an understanding of how to use computers and manufacturing technology to produce a heterogeneous mix of products in small or large volumes with both the efficiency of mass production and the flexibility of custom manufacturing in order to respond quickly to customer demands.

The module provides a deeper understanding of the principles of operation of mobile robots and future robotic applications outside the factory. It focuses on the methodology used for modelling, planning, control and localisation of mobile robots in both structured and unstructured environments.

The focus is on wheeled robots, which are the most common, however the techniques introduced are general enough to be applied to any mobile robot. A part of the course is devoted to recent techniques in robotic perception and on-board intelligence that are deemed to play a relevant role in the coming years.

This module aims to introduce techniques and tools for modelling, predicting, and analysing the behaviour of dynamic systems; and to introduce concepts, principles and techniques employed in classical methods of control systems design and signal processing.

Signal Processing can analyse, modify, and enhance various signals, audio, video, and communication signals. It supports and enhances interfaces between humans, between machines and between humans and machines. This module provides a detailed knowledge base for the theoretical and practical techniques used in discrete-time systems. It aims to develop your skills in designing digital filters and using Fourier transform techniques.

Several digital image processing techniques will be introduced and then used in simulations and practical laboratory sessions.

The module aims to present the major components of a practical software lifecycle through team-based software engineering. This includes analysis, design, development, testing, maintenance, and aspects of documentation.

You will be introduced to, and asked to carry out, prototyping, software design and implementation, and testing. You'll also learn how to manage a project, inclusive of the software elements, which includes user requirement elicitation, user presentation, and feedback capture.

The module will also cover the important factors relating to software quality including functionality, reliability, usability, portability, and maintainability.

This module reviews concepts of statics and strength of materials used to determine the stress, strain and deflection of structures, and introduces fundamental approaches to failure prevention for static and repeated loading.

The module continues by introducing mathematical and numerical methods to simulate structural problems by modern engineering tools and packages. It will further enhance both theoretical and practical appreciation of CAD and matrix analysis of structures, whilst introducing the supporting role of Finite Element Method (FEM).

The purpose of this module is to demonstrate dynamical performance of rotors and also to solve problems such as synchronous and non-synchronous whirl, sensitivity to unbalance, threshold of instability, torsional behaviour of branched systems, the analysis of steady and cyclic stress distributions caused by unbalance and other vibration phenomena.

The aim of project work is to undertake a piece of independent study that will draw on the knowledge and skills acquired during the programme. The project will deepen comprehension of principles and methods by applying them to a problem in the workplace. You'll develop enhanced knowledge and understanding of the engineering-related aspects of their project. Typically, you'll develop skills in qualitative and quantitative analysis, risk assessment, problem solving using appropriate methodologies, research and information gathering as well as planning and designing an experiment. Generic skills developed during projects will include using appropriate engineering analysis software and IT tools, adhering to research ethics processes and health & safety requirement, oral/written communication, project and time management, computing and IT, self-discipline and self-motivation.

Starting in the summer of year two and through the Autumn you will have the opportunity to work in manufacturing teams and develop a portfolio of knowledge skills and deliverables. You will work on real engineering projects related to the manufacture of consumer electronic products.

You'll work in small teams with support from a line manager and technical mentor to help define the problems and provide guidance. As part of the rotation you'll have the opportunity to work with international colleagues and learn how to manage projects across time zones and cultures. 

You'll gain first-hand experience of modern manufacturing processes and the challenges associated with transitioning from design to production.

After the manufacturing rotation, you will join your permanent home team. The home team is selected by you (subject to business needs and capacity constraints) and is aligned to your stream of study.

You will work on real engineering projects related to the manufacture of consumer electronic products. Your project work will cover three days a week, and you’ll be supported by your line manager and technical mentor to work to solve problems in small teams.  

During this placement, you’ll be working at the level of a university graduate with increased responsibility. You'll work on current engineering challenges across multidisciplinary project teams, owning the performance of parts or systems.