Compulsory modules

The module aims to provide a solid understanding of the operation of a power system and the control actions to be implemented on the system during normal and abnormal conditions of modern power systems.

Introduce the concepts for building complex power systems models and analysis techniques (steady-state/dynamic) to ensure the reliability and energy efficiency of the power system.

Cover the key elements of the theoretical principles of stability and control in modern power systems, emphasising solutions related to rotor angle, voltage stability and frequency using power system analysis software.

A combination of a theoretical and practical approach is adopted. It involves the use of a modern power system analysis package. Assessment requires applying the concepts to power system analysis projects.

The aims of this module are to:

  • To present studies on a deep understanding of the specific digital communication technologies critical to IoT systems.
  • To explore the application, strengths, and limitations of various digital communication technologies in IoT.
  • To develop practical skills in designing IoT communication systems using current technologies and protocols.

The aims of this module are:

  • To provide a critical overview of the operation principles of robotics, utilising feedback control and visual processing
  • To provide practical experience in designing complex robotic systems for automation and human-robot interaction

This module aims to develop the study, employability and research skills to meet the complex learning and professional requirements of postgraduate study. The module which is delivered through a blended approach brings together three discrete elements of study, employability and research skills. Learning content will be delivered through a combination of synchronous and asynchronous teaching provision.
Key aims include:

  • To deliver a series of high quality, interactive study skills and blended learning activities to provide students with a broad foundation to support their development within their chosen field.
  • To provide a series of skills to support students within their employability profiles.
  • To provide students with the opportunity to develop research skills for engineering and business, including data gathering and analysis skills and ethical awareness.
  • To provide students with the opportunity to develop effective communication skills for engineering and business, including skills synthesise complex scientific data to engineering and non-engineering audiences

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.

Optional modules

The aims of this module are to:

  • provide a comprehensive introduction to antennas and their functioning
  • provide practical experience in design and measurement of antennas.

The aim of this module is to enable students to have a comprehensive understanding of solar photovoltaic technologies. This will include introducing the facts governing the nature, availability and characteristics of the solar resource as well as the underlying fundamental scientific concepts of photovoltaic device operation, and how performance of photovoltaic devices changes under varying ambient conditions. Different photovoltaic conversion technologies will be critically examined in terms of their design, efficiency and costs.

Practical considerations for scaling from small area cells to full sized modules shall be introduced including the design, implementation, and performance assessment of full systems. Techniques for characterisation and performance modelling will equip students with the skills to assess and optimise full scale systems. The module will be useful for those going into technologist, designer or consultant roles in the field of PV or general renewable energies.

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.