Understand why mathematics is the foundation of all engineering practice. Build the robust mathematics skills needed to proceed to more complex modules. Appreciate mathematical principles in an engineering context.

Familiarise yourself with the interdisciplinary nature of electrical engineering and analyse the generation, transport and management of electrical power systems.

Build a foundation in the analysis and design of electronic circuits, and explore key concepts that are essential for higher level study of electronics.

Develop your understanding of digital design and low-level computer operation to understand system design across the hardware - software boundary.

Become familiar with programming using C++ and learn standard imperative programming skills such as control-flow, variables, and data structures.

Apply your knowledge to a major group design project which considers the full design process, from the client brief to the demonstration of a prototype.

Build on your first year studies to cover more advanced topics in mathematics that are relevant to both electrical and information engineering.

Learn how to take data in one domain and transform it to another domain to help analysis, and understand fundamental principles such as sampling and transforms.

Understand why electromagnetic systems are ubiquitous in electrical engineering and apply the techniques of Vector Calculus to obtain analytical solutions to problems.

Build on your first year learning to analyse and design electronic circuits with a system level perspective.

Explore the generation, transmission and applications of electrical power.

Discover how information is transmitted from one point to another in the presence of noise and build your awareness of information theory.

Become acquainted with basic elements of the theory of dynamic systems and the techniques used to design automatic control systems.

Apply your knowledge to a major group design project which considers the full design process, from the client brief to the demonstration of a prototype.

Develop your accounting-related skills, and analyse different financial accounting and management accounting techniques.

Understand the essentials of new venture formation and entrepreneurship, with an emphasis on high-tech business.

Your I-Explore module offers you choices from a range of subjects hosted outside of the department. You will be taught alongside students from other courses with options including business, management and many more.

Industrial Placement

Gain hands-on experience on an industrial placement, typically undertaken from April to September. 

The placement will be supervised and is assessed by a written and oral report.

Examples of previous placement partners include Bang & Olufsen, Goldman Sachs and IBM.

Group Consultancy Project

Experience design engineering in an industrially relevant context and gain valuable insights into the commercial and project management facets of product development.

Acquire the skills required to lead engineering projects and learn how to manage innovative technological projects within an engineering context.

Understand how analogue integrated circuits and systems are used in CMOS and Bipolar technologies.

Familiarise yourself with how biomedical electronics can be used to create medical devices that interface with the human body.

Develop a conceptual framework for analysing different communication networks and build your awareness of industry standards.

Build your knowledge of advanced modern control methodologies and explore topics including Kalman filtering and tracking, fault detection and isolation, and linear matrix inequalities.

Assess fundamental concepts and advanced methodologies of deep learning and relate them to real-world problems.

Appreciate the fundamental principles and applications of digital signal processing, including sampling theory, z-transforms and system functions.

Design digital systems of medium complexity, and learn how to implement the design with FPGA/CPLD devices, memory devices and microprocessors.

Explore the basic elements and concepts associated with the technical operation of power systems and their tools for analysis.

Gain an overview of the technologies involved in making an electric vehicle (EV), as well as those required to enable wider adoption of EVs.

Engage with the theory and practice of computing in the world of ubiquitous smart devices.

Appreciate the role of modern static type systems, sum and product data structures, immutable code, and higher order functions in program design and analysis.

Review electrical measurement theory and practice and understand measurement capabilities and limitations.

Build your knowledge of the basic theory of machine learning (ML) and explore the workings of neural networks (NN).

Understand the efficient formulation of a problem space, aspects of knowledge representation, and concepts of intelligent agents and multi-agent systems for the design of complex, distributed, embedded systems.

Understand the linear algebra needed for advanced topics in signals, signal processing and control.

Analyse the fundamental principles and applications of microwave technology and appreciate electromagnetic wave propagation in various media.

Assess a wide variety of modern optoelectronic devices and develop your knowledge of electromagnetic theory and rate equation modelling.

Study the opportunities provided by power semiconductors to improve the efficiency and controllability of electrical energy conversion.

Explore the fundamentals of classical long-range radar and the new frontiers of short-range radar for many anticipated applications.

Bring together theory and understanding from other lecture courses and apply your knowledge to solve a problem which might be encountered by a DSP engineer in industry.

Design, model and control robotic arms and grippers.

Gain an insight into the basic concepts of solid state electronics, and understand the physical processes that govern the DC functioning of pn diodes and transistors.

Understand the fundamentals of statistical signal processing, and develop practical experience of using statistical signal processing on your own speech.

Learn how to analyse and explain how market conditions are determined and how the market environment influences business performance.

Explore the fundamentals of how to manage  organisations and consider why some companies succeed while others fail.

Appreciate the limitations and challenges that are faced when applying the theoretical framework of corporate finance to real world problems.

Professional registration with the relevant engineering body (the IET in this case) is the natural next step upon graduating and entering the professional world. It demonstrates that you have reached an internationally recognised standard of competence, while acknowledging your commitment to maintaining this in the future. You will identify three core competencies in the IET's Career Manager tool to work on and develop over the year.

Choose a project from an extensive list proposed by members of academic staff. 

Due to the variety of staff expertise, the list covers a wide range of engineering topics. 

Proposing your own project is encouraged, and is done in collaboration with a member of staff who is an expert in the proposed field.

Explore the non-technical aspects of engineering by delving into the ethics of engineering, sustainability, global development challenges and health and safety risk management. 

Understand finite fields, cryptography and error correcting codes and how to correct communication errors.

Analyse the application of machine learning tools and how these technologies can impact the practical design of intelligent signal analysis.

Examine the fundamental digital image processing methods that stem from a signal processing approach.

Familiarise yourself with CMOS integrated circuit technology, from the basic fundamentals to more advanced topics.

Examine a broad range of micro- and nano-scale devices and systems, and understand their applications and the technologies used to fabricate them.

Learn how to design computer algorithms for finding minima and maxima and discover how to interpret and modify algorithms found in standard computer packages.

Broaden your understanding of the economic principles underlying the operation and planning of electricity systems.

Understand the physical operation of sensors, their operation, design and fabrication.

Build your knowledge of time series perspective and short term statistical behaviour for stocks, bonds, currencies and futures.

Explore low carbon technologies such as wind and solar, and learn about the challenges of decarbonisation.