The module aims to enable students to gain knowledge and understanding of the principles and other key elements in communication systems and the theory involved in their design.
Students are introduced to analogue and digital communication systems, as well as to the use of information theory in the framework of communication systems and their performance. An important aspect of this module is studying the topics of random processes and noise, sampling and quantization, and introducing students to key issues of filter design and modulation. Laboratory work will be carried out in Matlab/Simulink or equivalent software tool.
This module aims to introduce students to the fundamental concepts and principles of operation of various types of electrical machines.
It aims to equip students with basic experimental and modelling skills for handling problems associated with electrical machines. This module will give students the opportunity to develop an appreciation of design and operational problems in the electrical power industry. Students are also introduced to the modern CAD environment in relation to design of electromechanical devices.
The aim of this module is to provide students with an understanding of the machines used in power generation applications, with a main focus on the principles of operation of machines used in base load power generation (gas turbines), but all rotating machines in power generation are considered. Students may then develop a methodology for measuring the impact of machines from energy and materials usage, standpoints, and to better understand where opportunities exist to increase the efficiency of energy machines, systems and devices.
Students will have the opportunity to build models of mass and energy flow through existing and proposed machines. These models are then used to pinpoint the most efficient and least efficient steps of device operation. This syllabus can be divided into two topics —
Fundamentals of Machines in Power and Energy:
The module begins with the theory of gas turbines, based on fundamental thermodynamic and fluid mechanic analyses and introduces methods for improving efficiencies and increasing specific work outputs.
Energy Systems Analysis:
Students may strengthen and expand their fundamental knowledge of thermodynamics, and apply this to develop a better understanding of energy systems and machine systems.
The individual project aims to provide students with a learning experience that enables them to carry out independent research, and to integrate many of the subjects they have studied throughout their degree. Students are expected to plan, research and execute their task while developing skills in critical judgement, independent work and engineering competence. Students have the opportunity to gain experience in presenting and reporting a major piece of engineering work, of immediate engineering value, at a level appropriate for an honours degree student.
This module is intended to introduce students with the fast growing area of consumer electronics design.
Apart from interface and size issues, portable consumer electronics present some of the toughest design and engineering challenges in all of technology. This module breaks the complex design process down into its component parts, detailing every crucial issue from interface design to chip packaging, focusing upon the key design parameters of convenience, utility, and size.
The aim of this module is to provide students with a thorough understanding of power electronics and electrical drives.
The first part of the module begins with an overview of the main concepts behind electrical power processing and control. Power semiconductor switches are then introduced and their use as basic components in power electronics systems is deeply investigated. Subsequently, the main power converters architectures are defined and systematically analysed. The second part of the module aims to enable students to gain knowledge and understanding of classical electric machines and drives.
In this module students will have the opportunity to work on the design of digital projects using Verilog for FPGA and ASIC implementation. Hierarchy of design abstraction and the process of top down design will also be covered, in addition to advanced concepts and methods of Verilog.
Investigation of FPGA architectures issues involved in FPGA based implementations of advanced digital designs are illustrated by practical laboratories and assignments.
The aim of this module is to enable students to gain knowledge and understanding of the principles and other key elements in robotics, its interdisciplinary nature and its role and applications in automation.
The module starts with the history and definition of robotics and its role in automation with examples. The module continues by studying a number of issues related to classifying, modelling and operating robots, followed by an important aspect of the robotics interdisciplinary nature i.e. its control and use of sensors and interpretation of sensory information as well as vision systems. Students will also have the opportunity to be introduced to the topics of networked operation and teleoperation, as well as robot programming
The aim of this module is to introduce students to theory and methodology of advanced techniques relevant to engineering systems, in order to design and implement filters and systems.
System identification is a general term to describe mathematical tools and algorithms that build dynamic models from measured data. A dynamic model in this context is a mathematical description of the dynamic behaviour of a system or process in either the time or frequency domain. Students are given the opportunity to investigate methods by which they can perform useful operations on signals in either discrete or time-varying measurement.
The purpose of this module is to analyse electrical machines, switched mode power-electronic convertors and design power systems for medium to high power applications. Students will have the opportunity to examine the operation characteristics and capabilities of commonly used systems and their control methods.
In addition, students may examine the methods and issues surrounding transmission of electrical power, including insight and understanding of power system protection applications and the effects of system design on power quality.
In control engineering, a state-space representation is a mathematical model of a physical system as a set of input, output and state variables. Students have the opportunity to explore different methods of resolving the control variables in order to analyse systems in a compact and relevant way.