Modules

This module aims to provide a broad overview of the current landscape of app development, before introducing you to developing well-designed and functional applications for mobile devices.

The module begins by drawing comparisons between different platforms and their respective histories before exploring one platform fully to learn and apply general design paradigms for mobile devices, app architecture, accounting for physical resource constraints, handling user input, aspects of user interface design, data control and networking. You will learn through a combination of theoretical study and hands-on practical exercises and will be well-equipped to create robust applications that meet the demands of modern mobile users and adhere to industry best practices.

This module introduces you to the key concepts required to design and implement embedded systems. It covers the hardware and software aspects of embedded systems, including common architectures, hardware components, operating systems, and programming.

This module equips you with the essential in-depth knowledge to create sophisticated embedded systems that meet stringent performance, memory, storage, and energy requirements, while also fostering a critical awareness of safety standards and effective debugging methodologies.

Covering a wide spectrum of topics, the module provides a holistic understanding of embedded systems, their functionalities, and their pivotal role in diverse real-world applications. Through a blend of theoretical discourse and practical engagement, you will cultivate a deeper grasp of the characteristics of embedded system design, enabling you to translate their theoretical knowledge into tangible, efficient solutions.

This module aims to provide a comprehensive exploration of core principles and practical methodologies in machine learning. With a strong emphasis on real-world applications, it equips you with the skills required to harness the potential of machine learning in practice. Encompassing areas such as predictive modelling and evaluation, image processing, ethical considerations, and challenges within low-resource machine learning, the module prepares you for practical and industrial engagement.

By fostering proficiency in data handling, judicious model selection and predictive modelling, the curriculum encourages the translation of theoretical knowledge into practical contexts. With a module focussed heavily on scenario and case-study based content, there will be ample opportunity for you to engage and apply the theory readily. Additionally, ethical dimensions inherent in machine learning and the intricacies of low-resource environments are thoughtfully examined, nurturing ethical decision-making while being mindful of biases and effective resource optimisation strategies in real-world contexts.

By the end of this module, you will be well-versed in applied machine learning, positioned to navigate complexities and make meaningful contributions to the dynamic and evolving domain of machine learning.

This module provides a comprehensive introduction to large-scale web and cloud computing technologies for data-intensive applications. You will learn the fundamental principles and architectures of cloud computing, including virtualisation, containerisation, and X-as-a-Service models.

You will gain practical experience with cloud platforms for deploying web applications and running data analytics workflows. Key topics include cloud security, query optimisation, databases, and large-scale graph processing. By the end of the module, you will be proficient in leveraging cloud infrastructure and tools to build highly available and resilient web-scale applications for modern data processing needs.

The module aims to present you with the opportunity to engage in an industry-integrated software engineering project. You will be able to take lead of their own independent research project, with guidance from both academics and engineers, to tackle some of the most cutting-edge problems in engineering.

This module combines academic rigour with practical experience, allowing you to demonstrate their ability to contribute to software development projects in a professional context.