BEng (Hons) Computer Systems Engineering Bachelor's degree at Brunel University of London

To develop students' understanding of the contemporary electronic and computer engineering professions, and their understanding of what being a Chartered Engineer involves. This includes developing student's expertise in understanding and designing basic digital electronic systems.

The main aims of the module are to develop students' understanding of the contemporary electronic and computer engineering professions, and their understanding of what being a Chartered Engineer involves. This includes developing student's expertise in both understanding and designing basic analogue and digital electronic systems.

To develop the design skills required by students studying in all engineering disciplines, thereby supporting their journey through Higher Education and into their professional life with the intention of maximising their employability. Skills development in the following areas will be addressed: Problem solving Engineering design Introductory project management Engineering Communication Working in inclusive teams Health and safety Sustainability and Security

The aim of this module is to introduce students to some of the main engineering concepts applied across all engineering disciplines. The module will cover basic principles of measurement and uncertainty, application of Newtonian physics to design and analyses of objects and engineering systems, and the basics of fluid's behaviour. The module will provide students with an opportunity to gain experience and confidence in problem-solving in both a theoretical and practical manner.

To provide students with basic level of programming competence while developing their analytical, practical and design skills.

The aim of this module is to develop students' ability to understand and apply fundamental methods of engineering mathematics that are relevant to computer systems.

To provide a grounding in the fundamental principles of engineering mechanics, including statics and dynamics of rigid bodies. To provide knowledge and understanding of engineering materials and manufacturing processes relevant to engineering applications. To provide experience and confidence in problem-solving.

To introduce students with the core principles and values underpinning the work of engineers, its bread and impact on society and the responsibilities that arise as a result, via a combination of general principles and specific case studies. To provide guidance on the typical career of an engineer and introduce the standards set by the Engineering Council, which must be met to qualify for each relevant professional title. To allow engineering students to develop the skills required to thrive in

Students will develop knowledge and skills in developing and applying artificial intelligence and machine learning algorithms, techniques, and methodologies.

This module aims to present a comprehensive introduction to the design philosophies, fundamental constructs and operational principles of sequential computer architecture, and to develop an understanding of computer architecture from an engineering perspective.

This module aims to develop knowledge and understanding to successfully appreciate, create and manage different networks depending on the various needs of the hosting environment, and to develop knowledge and understanding of the fundamental issues and methods for maintenance of data security in servers and networks, and in particular of internet traffic.

To develop an understanding of digital systems and microcontroller architecture from a practical engineering perspective. To develop students' appreciation of fundamental algorithms, roles, limitations of CAD tools used in digital systems design and their limitations. To give a practical insight in the design, implementation and testing of Digital systems. To develop the underlying knowledge and give a practical insight in today's embedded systems design using microcontrollers.

To reinforce and develop: microcontroller based engineering design, personal and transferable skills appropriate to students' scheme of studies business aspects of engineering enterprise student preparedness for work placement and employment.

This module aims to provide a foundation and understanding of the architecture, concepts and key issues involved in the design and development of object oriented software systems and applications, and to introduce the processes and techniques employed in their construction and to develop the necessary software skills to deliver such applications using modern high-level object oriented languages.

To develop students' ability to program and integrate robotic and mechatronic systems using modern software tools and middleware. The module focuses on software architectures for robots and mechatronic systems, message-based communication, simulation, system integration, behaviour programming, testing, debugging, and documentation.

This module aims to introduce the principles of sensors, computer control, and automation within engineering systems. Students will develop an understanding of sensor technologies and measurement principles alongside fundamental concepts of automation and control. The module also supports the development of practical skills in the analysis, design, and application of automated and computer-controlled systems relevant to modern engineering practice.

Provide an overview review of a range of autonomous systems in the fields of Home and Office automation, Healthcare automation, Transport automation, Factory automation, Energy generation automation, Agricultural automation, Urban automation (Smart Cities), Supply chain automation, Network automation etc. understand the driving forces behind their requirements for automation and potential impact on society and review the technology requirements for automation. Introduce students to the major tec

To develop knowledge and understanding of Internet of Things (IoT) technologies and methods with which IoT-enabled devices communicate and exchange, compute and visualise data gathered using the range of sensors and actuators available to them. A practical component will involve designing and developing a software application for mobile devices, such as smartphones, and wearable devices, such as wristbands, using a popular mobile platform that helps with collection, analysis and visualisation of

This module aims to develop students' understanding of the engineering, scientific, and economic trade-offs involved in the design and implementation of embedded systems. It also provides familiarity with, and practical experience of, a range of architectural techniques and design methodologies, including their application and suitability for embedded platforms such as field-programmable gate arrays (FPGAs).

To provide students with the opportunity to: Design, execute, report and demonstrate a substantial individual project in a professional manner; Further develop their communication, planning, time management, research and development skills and initiative.

To develop students' understanding of machine vision and perception methods used in robotic and autonomous systems, including image acquisition, visual feature extraction, camera geometry, object detection, localisation, sensor fusion, and perception-driven decision making. The module aims to enable students to design, implement, evaluate, and critically discuss vision-based perception pipelines for real-world robotic applications, considering technical limitations, uncertainty, safety, ethics,

To develop understanding of managing key processes and projects in engineering with a specific focus on principles/ techniques for managing the quality of Engineering systems.

To develop a system-level understanding of robotic subsystems, including their structure, behaviour, and interaction within integrated robotic systems. To develop the ability to model, simulate, and evaluate robotic subsystem behaviour using appropriate analytical and computational tools. To provide a comprehensive understanding of robotic systems modelling, kinematics, dynamics, sensing, and control from a systems engineering perspective.