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.

Computer Aided Engineering immerses you in computer-based techniques that support the processes of design and simulation applied to engineering problems. This module provides an opportunity for you 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.

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, phones, 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.

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.

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.

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.

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 industries 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.

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 it 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.

Signal Processing explores the technologies which have become essential assets for building the future smart world, where interaction between smart devices heavily relies 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 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.

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.

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.

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.

IoT Security equips you with a deep understanding of the security concepts in the Internet of Things (IoT). Applications for the Internet of Things (IoT) include use in smart homes, healthcare systems, environmental monitoring and industrial controls, incorporating various technologies such as embedded systems, wireless sensor networks, and energy harvesting techniques. This has led to a range of IoT devices which each feature a distinct set of security risks and vulnerabilities. This module will equip you with an insight into the security challenges accompanying this growing market of IoT systems and applications. You will develop the capability to understand potential security risks and design secure IoT architectures. This will include IoT operating systems and platforms, low power IoT communications, IoT identity and access management, and IoT threat modelling, etc. You will gain a deep understanding of how the information stored, processed or transmitted in IoT systems is protected from unauthorised access or modification, while also being introduced to the future trends in IoT infrastructures, architectures and applications.

IoT Analytics provides you with knowledge and experience of developing data science solutions for big data generated from IoT systems. With the advance in sensor technology, enormous amounts of data are continuously created. To take advantage of the potential associated with this data, IoT analytics has become crucial in various contexts, including artificial intelligence, Industry 4.0 and smart cities. The module will enable you to design, implement, test and evaluate data science solutions for a variety of IoT analytics scenarios and evaluate their effectiveness.

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 in order 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.

Computer Vision focuses on one of the most interesting current and future technologies that will have a major impact on our daily lives. Computer vision and pattern recognition techniques are used for understanding and interpreting the content of images and videos and are fundamental to modern artificial vision systems. Nowadays cameras are everywhere, from in-built cameras in computers and laptops, to mobile phones, satellites, drones, cars, cameras taking medical images, speed cameras, and CCTV surveillance cameras. At present, the captured images are examined by people, however this module will examine potential automation, with CCTV cameras detecting thieves and anti-social behaviour, cameras on phones taking images of signs and auto-translating them, and someday the cameras on robots allowing them to interact with the world just like us. Supported by practical examples and case-studies, you will be introduced to important topics and concepts including image processing, segmentation, feature extraction, stereo vision, data clustering and dimensionality reduction, object recognition and tracking, motion and shape analysis.

Research and Development Project provides experience of designing and executing a substantial project in a limited time, based on a project plan, employing practical skills, problem solving and underpinned by relevant research. You will apply and extend skills and knowledge learned in taught modules and demonstrate your competency to construct and complete a coherent project as a Computing professional.

Research Methods provides you with the knowledge and skills to develop a proposal for, and subsequently undertake, a research project at Masters level. You will engage with the essential considerations when analysing a problem and designing a solution. The module will also immerse you in data collection from the user, literature reviews, interface designs and project planning. On successful completion, you will have a well-formed proposal suitable for Masters level study.

Complex Smart Systems recognises that after rapid technological advancement in the past twenty years, we are now surrounded by various intelligent devices that can help make many decisions autonomously. With the pervasive computing via the internet of things (IoT), the devices equipped with intelligent systems are becoming increasingly smarter and more intelligent. In this module, a variety of methods and techniques in machine learning will be explored, which are the foundation of building a smart system. You will gain a thorough understanding of a smart system by analysing and solving a given problem. In teaching practice, you will learn how to build smart systems in various application environments. In addition, this module will provide you with the skills and knowledge needed to deal with the challenges in building relevant smart systems.

Wireless Communication Systems addresses the theoretical knowledge and practical applications of wireless communication technologies. Mobile communication systems have seen very rapid development driven by the underpinned wireless communication technologies. Wireless communication is also an essential asset for enabling the building of future smart world, where interaction between smart devices heavily rely on ultra-reliable and low-delay wireless communication technologies. This module will help you develop problem-solving techniques in practical wireless communication systems such as mobile cellular systems and wireless local area networks (LAN). Focusing on wireless channels and their capacities for data communications, you will explore the key advanced technologies that are enabling the rapid development of current mobile cellular networks and discover the future wireless communication technologies for next-generation cellular systems.

Typical offer 112-128 UCAS Tariff points (previously 120).

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.

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.

CIS3305 Computer Vision (20 credits) replaces CIS3169 Communication Systems (20 credits) as a compulsory module in Year 3.

Please note, for all programmes in the Department of Computer Science, a level 2 numeracy qualification is not considered as equivalent to GCSE Grade C or Grade 4 in Mathematics.