Software Engineering BEng Honours

This module provides an introduction to interactive and generative AI systems. Students will develop the skills to optimise the responses of generative AI and apply interactive AI systems to real-world problems.

This module provides an in-depth exploration of the mathematical concepts and theories that form the backbone of computer science and software engineering disciplines. Designed for first-year students, it spans a broad range of topics, including discrete mathematics, linear algebra, and statistical methods, specifically emphasising set theory, number theory, functions, matrices, vectors, graph theory, and probabilistic and statistical reasoning.

The curriculum is structured to go beyond theoretical learning, promoting the practical application of these mathematical foundations in computing contexts. Students will engage with algorithmic thinking, data representation, and analysis, employing their mathematical knowledge to tackle problems directly related to their field of study. This approach ensures that they not only grasp the essential mathematical processes but also understand their application in real-world computing scenarios, preparing them for subsequent modules and their future careers in technology and engineering.

An introduction to computer programming in a high-level programming language. The module concentrates on teaching the fundamentals of programming and algorithm design. Basic coding structures such as sequence, selection, and iteration will be covered. There will be an emphasis on practical exercises to develop programming experience and confidence.

This module introduces you to problem-solving through the design and implementation of algorithms using the Java programming language. It develops foundational programming skills with a strong emphasis on core object-oriented thinking, ensuring you learn how to structure and organise programs effectively. You will also explore the use basic data structures while applying sound programming practices in response to defined requirements.

This module introduces the principles and professional practices of software engineering, focusing on how software is planned, developed, and managed throughout its lifecycle. Students will apply fundamental project management techniques, collaborate effectively in teams, and engage with professional and ethical issues in software development. Emphasis is placed on gathering and analysing requirements, designing small-scale software systems, and developing awareness of employability, ethics, and equality, diversity, and inclusion (EDI) considerations within professional contexts.

This module introduces web technologies and covers theoretical and practical concepts of web development. It covers a variety of commonly used Internet programming languages. You'll gain practical experience of web page development, and you'll be expected to write programs and web pages conforming to given guidelines.

In this module you gain practical work experience through your participation in a team that develops a prototype for a real-life software application suggested by industry contacts. The module takes you through the different managerial and technical steps of software development. You will gain experience in managing a team and deliver software iteratively by using an agile approach and receiving feedback from industry contacts. The module also provides you with experience in team communication and ways to overcome any problems, as well as the opportunity to reflect on professional issues such as quality of project documentation, cybersecurity, ethics and code of conduct.

This module covers the design and implementation of commercial dynamic web applications from a server-side programming and database perspective. It is suitable for you if you have a strong interest in SQL, web programming, HTML, CSS and browser scripting. A server-side language is covered to the depth required for implementing high-quality fully functional web-enabled database applications that fittingly support an organisation’s business processes.

Algorithms are among the fundamentals of computer science and software engineering and at the heart of artificial intelligence, machine learning, data science and their applications to real-world problem-solving in digital humanities, economics, biosciences and social sciences. The module will introduce you to the theory and practice of algorithmic strategies, development and implementation. Hence, the module equips you with a road map of mappings between real-world problems and suitable algorithmic approaches for their solutions. The latter is crucial for your professional life as problem solvers and thinkers in IT industry, society and humanity.

This module provides solid knowledge and skills in the area of database systems, SQL and XML. It covers the logical design of a relational schema. It also covers the implementation of the database in a major DBMS and the manipulation of the data using SQL. Subsequently, it considers the transformation and rendering of XML documents using XSLT and the extraction of elements from XML documents using XPath and XQuery. Finally, it explores issues related to NoSQL databases and XML databases.

This module will teach the fundamental ideas behind the object-oriented approach to programming. It will provide you with knowledge and practical experience in writing computer programs using object-oriented programming techniques. It will cover in a practical way the design and implementation of object-oriented software for software applications through the entire software development lifecycle.

The module is an introduction to software development on mobile devices such as mobile phones, tablets and wearables. It concentrates on the Android platform. The 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.

This module provides an entry point into mobile game development, covering key aspects applicable across diverse platforms such as mobile phones, tablets, handheld consoles, and wearables. Focusing on fundamental principles, it explores UX/UI considerations, constraints imposed by smaller devices, and the development of interfaces and gameplay features optimised for mobile usage. Topics include networking, persistent storage, multi-threading, device profiling, and application deployment, offering a platform-independent understanding of essential concepts in mobile game development, ensuring a versatile skill set that is transferable across various mobile platforms.  

This module 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. The module 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.

This module covers the fundamentals of database systems, the basics of the back-end development of database-powered web applications and the key security challenges and countermeasures for web applications. It is suitable for you if you have a strong interest in the development of scalable web applications built on robust back-end databases and in finding ways to protect them from online security threats.

In this module, you'll cover the techniques and technologies involved in building large-scale advanced web applications. It is suitable for you if you have a background in web design and web development, with knowledge of JavaScript, PHP and SQL.

This module provides students with an advanced understanding of how to design, implement, and evaluate modern full-stack enterprise applications using the Microsoft .NET ecosystem. It focuses on the development of secure, scalable, and maintainable systems, covering both server-side and client-side integration.

Students will apply professional software engineering principles, including software architecture, data persistence, and testing, to develop enterprise-grade web applications. The module also explores sustainable and inclusive design practices, emphasising security, accessibility, and resource efficiency in contemporary enterprise development.

This module explores the principles and practices of developing secure software systems. It examines the technical, organisational, and human factors that underpin secure software engineering, drawing on the Cyber Security Body of Knowledge (CyBOK).

Students will learn how to integrate security throughout the software lifecycle, from requirements and design through to implementation, testing, and maintenance. Topics include secure coding, distributed systems security, web and mobile vulnerabilities, authentication and authorisation mechanisms, risk management, governance, and privacy. The module also addresses legal and ethical dimensions of security practice, preparing students to operate as responsible professionals in complex, interconnected software environments.

This module requires students to integrate previously acquired knowledge and techniques with new insights gained through investigation and research, culminating in an extended piece of work. It involves the conceptualisation, design, implementation, and evaluation of a substantial solution, such as a software application, process, model, or experimental study.

The module fosters independent working and encourages students to apply their learning to real-world challenges, supported by research, design thinking, documentation, and critical evaluation. Throughout the project lifecycle, students are expected to engage with ethical considerations and embed sustainability principles in a professional and autonomous manner.

This module provides practical knowledge of applying Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in real-world business applications, along with techniques and strategies for training, tuning, and deployment. It provides the students with a technical foundation to help them bridge the gap between their taught knowledge in LLM and its counterparts' deployment in marketing, sales, finance, product, and more.

Students will learn the application of LLMs to transform business solutions while ensuring their security, resiliency, ease of management, and integration with existing technology ecosystems.

Apply prompt engineering  to build business generative AI models. This module is designed to equip you with the knowledge and skills needed to effectively integrate AI and generative AI into your business operations, processes and strategies. Apply prompt engineering to build business generative AI models. You will explore AI not only as an automation tool, but as a strategic enabler that transforms business operations, enhances innovation capabilities, and advances your career in an AI-business driven world.

This module introduces the principles of wireless IoT, focusing on short-range IoT standards with an overview of long-range IoT standards. It explores IoT system design, covering radio transceiver architectures and antennas, devices and gateways, multiple access and radio links. The module explores a number of typical network architectures and protocols which enable IoT networking technologies, associated application protocols and discusses issues related to security of IoT networks.

This module will give you the necessary knowledge and practical experience to develop native applications for mobile platforms and in particular iOS and iPadOS. Swift and relevant OOD principles are taught. Essential frameworks and design patterns required for the development of rich data and UI centric application are taught and utilised.