The aims of this module are to enable students to apply a systems approach to challenges and opportunities by:

• Developing students abilities to adopt a holistic approach to addressing systems problems.
• Providing students with knowledge of systems thinking tools and how to select the most appropriate tools for the problem or opportunity at hand.

The aims of this module is to give students:

• Practical knowledge of systems from a model-based and architectural viewpoint.
• An understanding of architecture frameworks.
• Knowledge of and practice with systems modelling languages, methods, and commercially available tools.
• An introduction to model driven architecture and analysis.

The students will learn a system definition and architecture design process aligned to ISO/IEC 15288 and how to model the architecture of a system and use it to assess system functionality and behaviour.

The aims of this module are:

• To give students an opportunity to conduct a research and/or development project on a topic of relevance to their specific programme of study.
• To provide students with the key skills and experience needed to plan, manage and deliver a complex extended project.
• To prepare students for future employment and professional practice in a relevant engineering sector at an advanced technical or managerial level.

The aims of this module are for students

• For students to understand the options available, and the issues related to selection of sensors and actuators for the design and control of mechatronic systems.
• To design, model and specify a complex fault tolerant mechatronic and control system.

The core aim of this module is to ensure students are able to take advantage of Machine Learning (ML) techniques to solve practical engineering problems. The module aims to:

• Provide a base understanding of Machine Learning (ML) in the wider context of Artificial Intelligence (AI).
• Establish ML approaches and algorithms.
• Provide development tools to deploy ML applications.
• Explore ML techniques in practical engineering contexts.
• Establish the challenges with ML in engineering.

The aims of the module are:

• To give students a systematic understanding of enterprise systems engineering and the associated systems of systems concepts through which an enterprise delivers capability.
• To give students a systematic understanding of how organisational project-enabling lifecycle processes are applied to provide the resources needed by projects to meet the needs and expectations of stakeholders (ISO15288).
• To give students a systematic understanding of how technical management lifecycle processes are applied to planning and project management to enable a technical team to meet their objectives (ISE15288).

The module aim is to equip students with the knowledge, understanding and skills to address problems associated with Electromagnetic activities in the Defence arena.