This module covers the concepts and practice of Database Systems Management as well as the fundamentals of Big Data processing. The subject of the database field is concerned with how to use computers to store and manage data, usually large quantities of data, that is accessible locally and remotely via the web, the cloud etc. Assessment method: 100% coursework.
The project contributes significantly towards the final degree. In the final year you spend about 2 days a week on your project. Future employers will probably ask you about your project and use performance in the project as one of the most reliable guides to your potential. Requests for references often ask about the project. As a final year level 6, 40 credit module for the Honours degree, the project allows you to demonstrate, through a practical application, the extent of theoretical knowledge gained in the first two years of study, practical skills acquired in the subsequent year of industrial or commercial training and further theoretical and practical skills acquired during the final year of study. The project is therefore a very important piece of work. The project is intended to demonstrate to the examiners your ability to undertake and complete, to a satisfactory standard, all the parts of a professional piece of work. Assessment method: 100% coursework.
This module will introduce the more sophisticated programming constructs associated with object-oriented programming, the dominant programming paradigm in current use. It will also introduce event-driven programming and how it relates to the development of graphical user interfaces. This module will explore practical application development using graphical user interfaces and will cover the use of classes and objects of a kind found in many real world applications. The use of professional development tools will give a rounded picture of the development process. Assessment method: 100% coursework.
This module provides students with an opportunity to work collaboratively with students from other disciplines on ICT projects. Students will work in teams and will go through the full ICT development lifecycle from requirements elicitation, feasibility study, design and development, testing and deployment. The module involves real clients and users who have genuine expectations that the developed digital solution will address their needs.
Optional modules:
This module covers the history and contemporary development of artificial intelligence systems and looks forward to likely near-future developments. It will cover all the major techniques of problem description, knowledge representation and data searching that represent the current toolkit for developing intelligent applications. Assessment methods: 60% coursework, 40% exam.
This module provides a broad introduction to the basic theory, concepts, and techniques of data mining, and its role in business intelligence. It will cover the main topics in the area. The focus of the practical aspect of this module is business analytics. SAS® Enterprise Miner and SAS® Enterprise Guide will be taught and used throughout in order for you to develop practical skills in solving real world data mining problems. Assessment methods: 70% coursework, 30% in-class test.
Smart Internet Technologies comprise set of enablers to deal with the limitation of existing Internet. This includes but not limited All-IP Networking Architectures, evolution towards Cloud Computing and 5G networking architectures, open-based networking technologies, SDN/NFV challenges and IoT technologies and its interworking with Cloud and 5G networks.
This module covers the technologies and the algorithms required to develop and deploy virtual reality and augmented reality applications. The module will cover VR and AR hardware, stereoscopic vision, rendering, AR/VR software development, 3D user interfaces and presence and 360 video.
