The aim of this module is to introduce a range of mathematical methods appropriate to the needs of first-year engineering students.

The aim of the module is to introduce students to laws, theorems and techniques used to analyse linear electrical circuits and circuits with basic analog electronic components.

The aim of this module is to  develop the theory and practice of software programming in an engineering context.

The aims of this module is to develop an understanding of the key concepts of electronic logic and how signals and systems are represented on digital platforms.

More information to follow.

This module aims to:

• Introduce students to engineering as a professional multi-disciplinary activity through problems and challenges that integrate the new knowledge and understanding which is being taught in other modules.
• Provide a problem-based learning environment in which students can respond to design briefs and gain ongoing feedback from teaching and technical staff, as well as each other.
• Provide students with basic project delivery and management skills to develop an engineered solution in a team-based environment.
• Provide students with knowledge of routes to Chartered Engineer Status along with opportunities for their professional career development using the Engineering Council's UK-Specification and Personal Best.

The aim of the module is to enable students to design and analyse practical analogue and digital electronic circuits and systems.

The aims of this module are to:

• Further develop methods and tools required for planning and managing an engineering project.
• Further develop awareness of ethical, environmental and legislative issues regarding engineering projects.
• Further develop skills in electronics, programming and mechanical design and construction.
• Use these in the execution of a research, design and build project in a specialised area of electronic, electrical and mechanical engineering.

The aim of this module is to introduce a range of advanced mathematical methods appropriate to the needs of second year engineering students.

The aim of the module is to introduce modelling and control of dynamic systems using classical control techniques.

The aims of this module are:

• To establish the fundamental working principles of robotic manipulators.
• To model the kinematic and dynamic behaviour of robotic manipulators based on established conventions.
• To explore a range of common manipulator structures and determine their static and dynamic behaviour.
• To provide a framework for the future study of manipulator control.

The aim of this module is to introduce a range of advanced mathematical methods appropriate to the needs of second year engineering students.

The aims of this module are to:

• Establish the basic control principles of robot manipulators, control of kinematic and dynamic models and programming approaches.
• Explore trajectory generation, position, and force-based control methods for robotic manipulators.
• Provide development tools to create algorithms for control of robot manipulators.
• Introduce robot control system architectures. 

More information to follow.

More information to follow.

More information to follow.

The aim of the module is to enable students to understand the financial, legal and quality management principles that apply to the operational management of engineering organisations.

The aim of this module are to explore the concepts of advanced systems methods and systems integration and improve the students' confidence and ability to identify, select and apply an appropriate combination of systems methods, tools and processes to tackle systems problems in a group case study, focusing on a system problem requiring innovation and creativity in the design approach.

The aim of the module is for students to gain an understanding of the emerging trends in digitalisation in manufacturing systems and its main core technologies, including Industry 4.0, Smart Factories, Virtual Engineering and Discrete Event Simulation.

The aim of the module is to provide the students with an understanding of advanced considerations related to control engineering and control implementation via computers.

The aim of this module is for students to develop a multidisciplinary knowledge and understanding of recent emerging technologies that can aid with improving health and wellbeing. This is inclusive of clinical devices to active lifestyle aids, and the module will cover topics including how they are developed, how they can be applied, and how to utilise them in research and practice.

The aim of the module is to provide the students with an understanding of advanced considerations related to control engineering and control implementation via computers.

The overall aim of this module is to explore the requirements, challenges and tools for the integration and control of complex, automated manufacturing systems.

The aim of the module is to introduce the student to modern digital image processing methods for image capture, enhancement, segmentation, analysis and machine vision for use in industrial applications.

The aim of this module is to develop student expertise in technical design, planning and management of a multi-disciplinary team engineering research focussed project, providing students with an opportunity to consolidate knowledge and skills developed throughout their programme.

The aim of this module is to enable the students to act as mentors for teams that are completing projects in part B.

The aim of this module is for the students to understand the options available with advanced control methodologies that can overcome practical implementation issues with classical control design due to parameter uncertainty and system non-linearities.

The aims of this module are:

• To provide critical overview of statistical methods and machine learning required for analysing data.
• To develop a systematic and practical understanding of regression and classification analysis.

The aims of this module are 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.

This module aims to give students:

• Practical knowledge of systems from a model based and architectural viewpoint.
• An understanding of system and enterprise architecture frameworks.
• Knowledge of and practice with software 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:

• Provide an understanding of advanced electronic engineering applications.
• Provide insight into practicalities of advanced sensor systems in real world applications using underwater acoustics applications as a case study.

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. Towards that end the following aims are established:

• Provide a base understanding of Machine Learning (ML) in the wider context of Artificial Intelligence (AI).
• Establish ML approaches and algorithms.
• Explore ML techniques in practical engineering contexts.
• Establish the challenges with ML in engineering.
• Deliver ML solutions in engineering, ensuring proficient use of essential tools for practical applications.

The aim of this module is for students to develop an understanding of recent and future applications of robotics with and for humans, with particular emphasis on sport and healthcare applications. The module will analyse several problems and what specific robotic solution are being developed for them, how the solutions are derived, what results are currently achieved and what the next challenges are.