This module will provide you with the knowledge and skills to analyse, design and manage the users, data and hardware which are required for the efficient operation of IT systems. You will also study wider issues such as effective planning of IT operations to minimise business risk due to large-scale technical or environmental problems. You will have the opportunity to gain the technical knowledge and skills required to study the professional certification often required by employers.
This module covers all aspects of the complex field of security in computer systems and networks. It will teach the fundamental principles of computer security and how they impact the many different areas in which computer technology is used. It will explore the diverse range of threats faced by systems and the network infrastructure that connect them together and the measures that can be taken to counter them. This module aims to make students aware of security issues in all fields of computing and provide a clear understanding of best practice and risk mitigation techniques. Students will acquire knowledge of real and current threats and by studying the underlying principles be prepared to understand new threats that will arise in future.
This module covers all aspects of the complex field of security in computer systems and networks. It will teach the fundamental principles of computer security and how they impact the many different areas in which computer technology is used. It will explore the diverse range of threats faced by systems and the network infrastructure that connect them together and the measures that can be taken to counter them. Assessment methods: 60% coursework, 40% exam.
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.
The project contributes significantly towards the final degree. In your final year you'll 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. This module will allow 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.
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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. Assessment methods: 60% coursework, 40% exam.
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.
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 method: 40% exam, 60% coursework.
Web applications are interactive rather than repositories of information and have sophisticated features. Most organisations have large amounts of digital content, whether of the nature of static information, dynamic news or digital assets which are products in themselves. To handle the required level of complexity and interactive sophistication this demands powerful content management systems or frameworks. This module will explore what these systems are, what they do and why they might be an appropriate solution.
This module provides a broad introduction to the basic theory, concepts, and techniques of data mining, and its role in business and scientific research. It will cover the main topics in the area. The focus of the practical aspect of this module is to develop hands-on experience and skills in solving real-world data mining problems. SAS® Enterprise Miner and SAS® Enterprise Guide will be taught and used throughout module for practical data mining projects. Simple Python scripts for data manipulation will be discussed and used.
