Advanced Electronic and Electrical Engineering MSc

Compulsory

• Applied Sensors Instrumentation and Control
  This module aims to enable students to focus on particular aspects of sensors, instrumentation and control through the use of real-world examples and hence to acquire knowledge and understanding of the characteristics of sensors and associated systems for monitoring and control, and the skills to evaluate, design and implement them.
• Engineering Ethics and Sustainability
  This module aim to enable Engineering students to deal with legal, social, ethical and environmental issues and apply professional codes of conduct. Indicative content: Ethics and Legal Aspects, Risk and environment management systems, Risk Assessment and engineering failure methods and sustainability.
• Advanced Electronic and Electrical Engineering Group Project
• Advanced Analogue Electronics and Photonics
  This module aims to enable students to focus on photonic systems and electronic systems for sensors in general the use of real-world examples and hence to acquire knowledge and understanding of the characteristics of sensors and associated systems for, and the skills to evaluate, design and implement them.
• Project and Dissertation
  This module aims to provide experience in defining and organising, executing and evaluating a substantial individual in-depth investigation into a topic related to the appropriate wireless and computer communication networks and presenting the information in the form of a dissertation.
• Power Electronics and Drives
  The aims of this module are to develop students’ ability to: 1. critically analyse and design advanced power electronic circuits; 2. incorporate state-of-the-art power electronic circuits in electric vehicle machines and drives.

Optional

• Communication Network Technologies
  This module will focus on advanced communication technologies and networks. Indicative contents: Network Basics: ISO/OSI Reference Model and TCP/IP Reference Model, Network layer operation: TCP/IP, Packet Scheduling and Delay, IP Quality of Services (QoS), Resource Reservation Protocol (RSVP), Integrated Service Model and Differentiated Service Model, Multi-Protocol Label Switching (MPLS), ATM Networks, Traffic Engineering IP Multicasting Mobile and wireless communication systems: Cellular system, Frequency reuse, 1st and 2nd generation systems, 2 and 2.5 G (GSM, GPRS, EDGE), UMTS-3G, (UTRAN, Core Networks, Handover, Power Control, Rake receiver), 4G (LTE – Advanced, S/P, IFFT, CP, P/S), 5G (Introduction, C-RAN, MIMO), ZIGBEE, UWB, Bluetooth. Ad-hoc and Mesh Networks: Introduction to mesh networks, power spectral efficiency and green radio, Mesh network Components, Ad-Hoc Routing protocols.
• Artificial Intelligence System Techniques
  The aim of the module is: To understand the full range of state-of-the-art artificial intelligence systems techniques; To raise critical awareness of the issues affecting the performance of artificial intelligence systems; To develop the skills required to develop artificial intelligence applications; To gain hands-on experiences through learning, applying and implementing artificial intelligence systems to a given simulated system. The indicative content includes, Overview of artificial intelligence systems techniques, Intelligent Computation Techniques (Fuzzy Logic: Concepts, Membership functions, Inference methods and design; Neural Networks (NN): Representations, Topologies, Deep Learning techniques; Neuro-Fuzzy Systems (NF): Design, Topology, Training, Comparison to NN; Genetic Algorithms: Representations, Genetic operators, Selection schemes, Fitness & population evaluation, Constraint handling, Learning and evolution; Swarm Intelligence: Particle swarm, Ant Colony optimisation), Intelligent Data Processing Techniques, Applications (Wireless and computer networks, Bioinformatics, Medical imaging & visualisation, Pattern recognition & biometrics, Computer vision, Future trends).
• Embedded DSP for Communication Systems
  The aim of the module is develop in-depth knowledge and understanding of real-time signal processing, reconfigurable computing and embedded DSP system architecture and to develop students’ ability to implement real time algorithms on embedded DSP processors for communication applications.
• Advanced Embedded Systems Design
  The aims of this module are to: 1. provide a detailed knowledge of computing for embedded and control computer systems; 2. illustrate and develop an understanding of the various engineering, scientific and economic trade-offs necessary in the design of embedded systems; 3. understand the principles and the role of embedded systems in real world applications; 4. provide familiarity and experience with a range of architectural and programming techniques for embedded engineering systems and their evaluation; 5. understand the process of implementing algorithms on embedded systems.
• Radio and Optical Communication Systems
  This module aims to consider the operation of radio and optical frequency systems and their integration into global systems for effective communications.
• Smart Grid Operation and Management
  The main aims of this module are to teach the students how to: 1. critically analyse and assess smart grid operation and management objectives and functionality; 2. Evaluate and review methodologies and algorithmic structures for operational control of sustainable electrical power systems.