Circuits and Logic introduces you to logic level models, logic gates and the design and application of digital logic circuits. Digital logic circuits are an essential component of every electronic device including computers, smartphones, and tablets. They are used to build engineering designs that deliver various computational outcomes. This module introduces you to the operation, design and application of simple combinational and sequential digital logic circuits. You will gain an understanding of how digital logic circuits are analysed, designed, verified and tested. You will also develop the capability to use digital logic circuits to solve simple engineering problems.

Computer-Aided Engineering immerses you in computer-based techniques that support the processes of design and simulation applied to engineering problems. This module provides you with an opportunity to develop an understanding and experience of commercially available engineering software and its practical applications to solve complex engineering problems. You will investigate the use of computer-aided design and simulation tools for a variety of engineering applications and develop skills in a variety of computer-aided design and simulation programs.

Foundations of Engineering Mathematics provides an overview of the most important mathematical concepts and methods which are relevant to engineering. Mathematics is an essential component of engineering and it is at the core of many engineering analysis techniques and concepts. The module focuses on mathematical methods in algebra, geometry, trigonometry, complex numbers, differential and integral calculus, and matrices. You will explore real-world, cutting-edge applications and methods of mathematics, from engineering to physics and mechanics.

Professional Practice in Engineering 1 provides a fundamental starting point for engineering students. Building a base of knowledge to begin your journey to becoming a professional engineer, you will receive a grounding in how professional bodies underpin their practice. You will be introduced to the engineering profession and basic laboratory skills, gaining hands-on experience with equipment. You will also be made aware of relevant regulatory requirements governing engineering activities in the context of particular areas of specialisation.

Programming: Concepts to Construction 1 provides a practical introduction to the fundamentals of an object-oriented approach to software development. You will be introduced to the analytical techniques and processes that are essential for specifying, designing and implementing applications.

Programming: Concepts to Construction 2 provides a practical introduction to the fundamentals of an object-oriented approach to software development. You will explore and develop object-oriented modelling techniques and receive an introduction to programming through event-driven program design and graphical user interfaces.

Advanced Programming equips you with an overview of the design and operation of the principal components of a computer system, and how they interact with each other. You will be introduced to microcontroller/microcomputer programming and gain an understanding of instruction types, addressing modes, and the stack. You will learn how to support subroutines, exceptions and interrupts, writing simple programs that handle these functionalities and solve straightforward problems.

Applied Industrial Automation develops your expertise in various aspects of robotic programming in industrial applications, including using multi-sensors to collect environmental measurements, designing control strategies and making smart process decisions by finding optimal solutions. Furthermore, you will gain a practical understanding of the key concepts of robotic programming including its hardware, architecture and software solutions.

Applied Mathematics for Engineering provides a comprehensive overview of the important mathematical concepts and methods relevant to engineering. Mathematics is an essential component of engineering and is at the core of many engineering analysis techniques and concepts. Mathematical methods in algebra, geometry, trigonometry, complex numbers, differential and integral calculus and matrices will be introduced, with emphasis on how they relate to a variety of real-world problems in engineering, including manufacturing, pharmaceuticals and agriculture.

Control Systems and Instrumentation Engineering is designed to produce engineers who are knowledgeable about, and competent to employ, new and emerging technologies that are crucial to maintaining modern society’s competitive industries, many of which rely heavily on the use of systems and equipment that are powered by mechanical principles, electronics, computers and control systems. Increasingly, engineers are required to design and develop machinery with computer, mechanical and electronic controls. This module will equip you with a range of skills required to design and maintain innovative solutions to automated modern industrial systems. You will be introduced to the fundamentals of integrated circuit engineering, intelligent design and control systems, the Internet of Things and other topics relevant to a multidisciplinary field which combines electronics, instrumentation, software and control engineering.

Professional Practice in Engineering 2 fosters professional practice and  employability skills. This will be achieved by simulating, as accurately as possible, what it’s like to work in a given engineering specialism. You will be introduced to the world of work via a simulated work environment or project. This will involve being given live briefs and/or being placed into teams that represent fictional companies and being asked to produce real products or engage in realistic work-related activity. This employer-derived simulation or project will enable you to experience working as part of a large team, including the challenges that can occur when trying to complete high-quality, complicated engineering work to schedule.

Signal Processing explores the technologies which have become essential assets for building the future smart world, where interaction between smart devices relies heavily on reliable and efficient communication signal processing technologies. The module  introduces you to the fundamental principles of signal processing, from the underpinning theories and mathematics to practical applications, with an emphasis on developing problem-solving techniques via seminar/laboratory activities. Beginning with signal analysis to help you understand the signal representations in both the time and frequency domain, you will go on to explore various modulation schemes for analogue and digital-signal transmissions, evaluating their performance in terms of signal-to-noise ratio, bandwidth requirement and error logs. A central theme throughout the module will be the security aspects surrounding the technologies.

Embedded Systems introduces you to the principles of embedded systems as essential tools for enabling many other advanced technologies that we see or experience around us. The basics of the hardware and software unique to microcontrollers, as core components of embedded systems, are introduced. You will have the opportunity to program a microcontroller and apply this skill to communicate with, or control, external devices.

Engineering Management and Enterprise equips you with a practical understanding of engineering management techniques and the necessary systems and philosophies for successful project implementation. You will gain a detailed understanding of the actions that an organisation needs to take to deal with opportunities, threats, challenges and unexpected events emerging from and within their external and internal environments. The module provides an understanding of how quality engineering techniques can be implemented throughout the product and manufacturing life cycle, while also offering a wider view of the context in which state-of-the-art products are designed and subsequently proceed into the market or the work environment. In addition to this, you will gain an overview of how total quality management (TQM) can be used to strategic advantage to exceed customer requirements and facilitate process improvement.

Engineering Research and Development Project gives you the opportunity to show individual creativity and originality, apply your knowledge and skills, and demonstrate the ability to undertake an individual project through investigative research, problem-solving, effective communication and management. The project will be executed independently under the guidance of a supervisor. In exceptional circumstances group projects may be permitted as long as individual deliverables are clearly identified and this has been agreed with the Module Leader and Supervisor. You will conduct in-depth work on a substantial issue, including researching and analysing the problem and finding and realising a solution.

Microprocessor and Sensor Systems Applications in Engineering provides an overview of sensor-centric microcontrollers and microprocessors. The module also explores the different applications of sensor systems such as remote controls, electronic locks, electronic thermometers, keyboard interfaces and electronic tape measures. You will be introduced to sensor types, interfacing considerations and input signals and learn how to design and build a microcontroller/microprocessor and sensor system that addresses a specific application.

Research and Development Methods prepares you to undertake a software development project or dissertation. The module will enhance your ability to manage an individual project and act autonomously with limited supervisor guidance. You will be introduced to the main methods of research and the contexts in which they are conducted and enhance your understanding of the principles and perspectives of research. Building your practical experience and confidence in using a range of research methods, the aim is to demystify research and recognise the everyday skills and techniques which are involved.

GCSE English Language at Grade C or Grade 4 or above, or equivalent, is required.

CIS1607 Circuits and Logic (20 credits), CIS1608 Foundations of Engineering Mathematics (20 credits) and CIS1609 Professional Practice in Engineering 1 (20 credits) replace CIS1107 Foundations of Computer Science (20 credits), CIS1109 Digital World: Computer Architecture and Networks (20 credits) and SUG1021 Mathematical Proof and Logic (20 credits) as compulsory modules in Year 1.

CIS2608 Signal Processing (20 credits) and CIS2609 Professional Practice in Engineering 2 (20 credits) replace CIS2162 Employability (20 credits) and CIS2180 Circuits and Logic (20 credits) as compulsory modules in Year 2.

CIS3168 Engineering Management and Enterprise (20 credits) replaces CIS3169 Communication Systems (20 credits) as a compulsory module in Year 3.

A Level Mathematics at Grade C or above or equivalent is required. This replaces the previous requirement for GCSE Mathematics at Grade C or Grade 4 or above or equivalent.