This module provides an introduction to the architecture and services of modern telecommunication networks. A general introduction illustrates the major features of a network, how they interact and introduce the concept of an intelligent network. Switching is an essential requirement and the ideas behind circuit, packet and cell switching are presented. The basics of the TCP/IP protocol suite are described. Optical transmission and networking, key features for future networks, are discussed. To present the main concepts involved in current and future telecommunication and information networks, the concepts presented will be supported by the other core courses.

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).

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.

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.

A huge industry has grown up in the last few years delivering a wide range of apps for mobile devices, including application areas such as games, social networking, information, and productivity. Given the power of modern mobile devices coupled with their range of inputs (audio, camera, GPS, motion sensor, touchscreen) this creates an exceptionally interesting platform to develop applications for. Furthermore, these platforms come complete with their own marketplaces meaning that successful applications can achieve a large market share based largely on their merit. The purpose of this module is to teach the main aspects of programming applications for such devices. Such a course could be taught at an abstract level, independent of the particular type of device in question, but the approach taken on this module is to explore one particular platform (Android), in a hands-on and in-depth manner. This is a popular platform with a range of excellent devices (including low cost ones) from a variety of manufacturers. The platform is well designed and well documented, and has the significant advantage of being Java based, meaning that students can get up to speed relatively quickly and concentrate on the interesting issues involved in developing a high quality app without having to learn a new language at the same time.

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.