Component

MA Public Opinion and Political Behaviour
MSc Computer Engineering options

Year 1, Component 05

Option(s) from list
CE156-7-AU
An Approachable Introduction to Programming
(15 CREDITS)

This module will help you develop your coding skills, and assumes you have no prior coding skills. The language used will be ‘Python’, which is well known as an introductory programming language, with the ability to learn starting with a simple single line of code approach. As your coding skills develop, you will be able to review and debug simple code, as a route to developing your own code, through the assembling of coding blocks. You will have the opportunity to experience code relevant to your own course, and to develop code that is useful within your degree context.

CE709-7-SP
Programmable Networks and Services
(15 CREDITS)

We are living in a world of multiple networking technologies, either wired or wireless. There is a need for these network technologies to converge in order to provide seamless services to end users. This course is to look into the fundamentals towards this goal. This course will begin with the motivation behind network and service convergence and then introduce the network architectures that are being deployed today. Then quality of service (QoS) metrics such as delay, jitter, packet loss, etc. and QoS mechanisms will be introduced. The course will go on into various types of service and network convergences covering wireless + wireless convergence and wired + wireless convergence. The course will then describe fundamentals of a key issue that is common for any type of convergence: mobility. Finally the course will finish by introducing a clean-slate future Internet technology called ICN (Information Centric Networking).

CE721-7-SP
Electronic System Design and Integration
(15 CREDITS)

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.

CE740-7-SP
Mobile Communications
(15 CREDITS)

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.

CE801-7-AU
Intelligent Systems and Robotics
(15 CREDITS)

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.

CE860-7-SP
Advanced Embedded Systems Design
(15 CREDITS)

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.

CE888-7-SP
Data Science and Decision Making
(15 CREDITS)

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.

CE889-7-AU
Neural Networks and Deep Learning
(15 CREDITS)

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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