BEng (Hons) Software Engineering with Electronics Bachelor's degree at Westminster

Provides the fundamental concepts and mathematical methods required in the Computer Games Development, Smart Computer Systems, Data Science and Analytics and Computer Network Security degrees. Strengthens mathematical skills and improves fluency in algebraic manipulation, equation solving, matrix algebra, vectors, geometry, trigonometry, transformations, calculus and statistics.

Introduces the principles and techniques of combinational and sequential logic design used in digital systems. Explores the structure and operation of key digital components and gain hands-on experience using VHDL to model and simulate circuit behaviour.

Introduces the key components of an embedded computer system using an existing microcontroller architecture through practical laboratory sessions and project-based learning. Provides foundational knowledge of embedded systems, including microcontroller architecture, computer number systems, timing, firmware configuration, low-level programming, and the use of Analog-to-Digital Converters (ADCs) for sampling analogue data.

Enables application of circuit theorems, engineering principles and computer based tools to the analysis of simple passive and active electric circuits. Develops practical skills including the use of lab bench equipment, circuit prototyping, identifying and describing the function of electronic components and commonly used circuit configurations, understanding component ratings and tolerance. Introduces and puts into practice lab ethics.

Provides practical introduction to computer programming using a high-level programming language. Covers the fundamentals of programming by introducing the basic methodology for problem-solving and program development. Teaches use of appropriate libraries, syntax and semantics for creating and compiling source code using relevant development tools and environments. Develops skills for designing basic algorithms, datatypes, expressions, control structures, and input/output.

Focuses on trends in Computer Science which currently attract considerable industry and academic interest. Develops critical thinking skills by research and exploration of these topics. Develops employability skills in order to better support employability prospects and placements. Introduces key aspects of working as a professional in the world of computing, including consideration of ethics, privacy, data protection and confidentiality, and how these are incorporated into professional codes of

Introduces the theory and practice of algorithmic strategies, development and implementation. Equips students with a road map of mappings between real-world problems and suitable algorithmic approaches for their solutions.

Gain valuable practical work-based experience through participation in a team where students carry out and document a design from initial brief to final validation and demonstration. Develop a prototype embedded system product, an electro-mechanical device, that will meet the design brief and requirements given by a customer. Develops and puts into practice both technical and transferable skills valued by employers including rapid prototyping of embedded system solutions, mechanical construction

Covers object-oriented principles using C++. Includes object-oriented analysis and design, from the initial problem description to the creation of UML class diagrams. Introduces object-oriented programming features such as encapsulation, sub-classing, and templates/generics, as well as C++-specific aspects. Design patterns and design principles such as SOLID are introduced and used to show how to create a robust and versatile solution. More specialised topics such as socket-based network program

Introduces the objectives and functions of generic operating systems structure and through a gradual progression provides a framework for detailed knowledge of the structural components for multi-tasking operating systems, including systems programming for Unix based architectures.

Designed to provide an understanding of sensing systems and signal processing, including the use of integrated smart sensing devices and the integration of sensors with computer systems. Addresses the operational principles of standard sensors and transducers, principles of signal conditioning, and methods used for the post processing (data analytics) of captured sensory data. Discusses the operational principles and selection of data conversion devices such as analog to digital and digital to a

Provides a foundation in deep learning, starting with tensor operations and neural network fundamentals using TensorFlow. Students learn to implement, train and evaluate neural networks, progressing from basic operations to advanced architectures. Covers the full deep learning development cycle from data preparation through to model deployment, with particular focus on sequence modelling tasks including time series and natural language processing.

Provides an understanding and hands-on experience in the fields of machine learning and data mining, covering the full life-cycle from preparing data to validating and optimising the learned model. Covers different algorithms and approaches to machine learning and data mining, and the issues of using them on data sets of different sizes and complexity.

Introduction to software development on mobile devices such as mobile phones, tablets and wearables. Concentrates on the Android platform. Main contents include: The Android mobile programming architecture, restrictions of using small devices such as mobile phones tablets and wearables, programming user interfaces, networking, persistent storage and multi-threading, device profiling, application deployment and installation.

Introduces the fundamentals of robotics and focuses on selected topics pertaining to this discipline. Overviews the nature of robotics and related challenges and issues. System modelling introduces techniques of deriving and computer implementation of models of dynamic systems with a special focus on kinematics of robots. Fundamentals of control cover the structure, basic analyses and real-time implementations of control systems.

Covers the design and implementation of commercial dynamic web applications from a server-side programming and database perspective. Suitable for students with a strong interest in SQL, web programming, HTML, CSS and browser scripting. Covers a server-side language to the depth required for implementing high-quality fully functional web-enabled database applications that fittingly support an organisation's business processes.

Examines various aspects of computer and network security giving a sound introduction to theoretical and practical areas such as network security, cryptography, attack vectors used by hackers, security architecture, methodologies for security hardening and defence and penetration testing strategies. A substantial amount of work is laboratory based involving the deployment of security tools, the hardening of operating systems and the analysis of compromised systems.

Furthers the design concepts of the main components of a modern Operating System. Evaluates the various implementation techniques to address specific design issues with respect to performance and hardware constraints. Introduces mechanisms of how Operating Systems handle asynchronous events and interface with the operating environment within a Linux environment. Critically analyses the various techniques that enable Virtualisation technologies.

Requires students to integrate previously acquired knowledge and techniques with new insights gained through investigation and research, culminating in an extended piece of work. Involves the conceptualisation, design, implementation, and evaluation of a substantial solution, such as a software application, process, model, or experimental study. Fosters independent working and encourages students to apply their learning.