MA Public Opinion and Political Behaviour
MSc Computer Engineering options

Year 1, Component 06

Option(s) from list
Internet of Things Technology

The Internet of Things (IoT) module brings together a physical object (the thing), with associated controllers, sensors and/or actuators that are interfaced through the Internet to other devices and ultimately to interact with human beings (and/or animals) in some form. It covers a wide range of applications including: intellectual habitation, intelligent building control, smart vehicle technology and industrial processes.

ICT Systems Integration and Management
Electronic System Design and Integration

This module provides first-hand experience of the design simulation and production of complex electronic circuits. A word specification is provided for a consumer electronics device for which a prototype is designed using reference and first principles. The circuit is then simulated and tested in Multisim to verify operation. Once satisfactory, a hardware prototype is developed on a prototype medium e.g. breadboard and tested in real-world conditions. Then using PCB design software, a PCB is designed and populated to produce the final product. The module has a large emphasis on the practical with a lighter emphasis on the theoretical.

Mobile Communications

What are the main challenges when using wireless connections? And what are the higher-layer techniques for exploiting wireless physical links? Study the technology underlying current and future wireless communications systems. Understand the concepts of radio transmissions and the different types of multiple access techniques.

Intelligent Systems and Robotics

This module gives an introduction to intelligent systems and robotics. It goes on to consider the essential hardware for sensing and manipulating the real world, and their properties and characteristics. The programming of intelligent systems and real-world robots are explored in the context of localisation, mapping, and fuzzy logic control.

Advanced Embedded Systems Design

Embedded systems have become more pervasive and powerful to take on truly sophisticated functions in recent years. When facing with the rapid technical updating and complicated market requirements, the designers have to use advanced design techniques to deal with the complexity. In this module, you will gain the experience of full embedded system design process, and the fundamental knowledge on hardware components and real time programming. The hand-on practice helps your understanding of embedded system design process.

Data Science and Decision Making

The aim of this module is to familiarise students with the whole pipeline of processing, analysing, presenting and making decision using data. This module blends data analysis, decision making and visualisation with practical python programming. Students will need a reasonable programming background as they will be expected to develop a complete end-to-end data science application.

Neural Networks and Deep Learning

The aim of this module is to provide students with an understanding of the role of artificial neural networks (ANNs) in computer science and artificial intelligence. This will allow the student to build computers and intelligent machines which are able to have an artificial brain which will allow them to learn and adapt in a human like fashion.

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