Module Overview

This module is a 5-credit (2.5 ECTS) augmentation of the 10 credit (5 ECTS) RESM6004 (Quantitative Research Methods) and provides the perspective of running a research project as a context for the consideration of research methods and research questions.

This module gives students the experience of developing a project proosal, selecting appropriate research methods and processes to adress a particular research question expressed as a compelling bid document.

Module Overview

To explore the relationship between accessibility, usability and user experienceTo understand the role of Assistive technologies in achieving universal designTo prepare students to engage in research and development in accessibility, usability and user experience

Module Overview

In the second decade of the 21st century, the Web is so familiar to us that we have to be reminded that browsing had to be invented and there was a time when the extent of your digital information was confined to the resources that you could obtain on a CD-ROM drive. This module looks at the architecture underlying the Web, the hypertext research that has informed its development and the search engines and Web 2.0 applications that have made it more useful.

Module Overview

Aims

• To develop methods and techniques that employ a range of technologies for social networking
• To understand how to measure the performance and behaviours of social networks
• To understand the impact of social networks on different domains
• To understand the challenges and affordances of social networking for society

Module Overview

Simulation modelling plays an increasingly significant role across modern science and engineering, with the development of computational models becoming established practice in industry, consulting, and policy formulation. Computer scientists are often employed as modellers or software engineers to help in the model development & maintenance cycle. Therefore this is a current and future need for computer science graudates to have a grounding in both the philosophy of modelling in science and various modelling techniques.

This module will familiarize students with general knowledge about the role of modelling in science (with a particular emphasis on computational modelling), will discuss the process of model development and best practice in various stages in the model development cycle. A second (and larger) part of the module will provide a broad survey of the central modelling paradigms. Throughout the module we will demonstrate how computer science techniques are used to develop models in the following domains:

• information networks
• design and management of infrastructure
• epidemics
• natural resource management
• computational economics
• collective robotics
• online trading systems
• climate and Earth system processes

Module Overview

The last decade and a half have seen the Web move away from a purely document-centric information system to one in which hypertext techniques are applied to the sort of data found in databases; the term “Semantic Web” is used to refer to this Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, write rules for handling data, and develop systems that can support trusted interactions over the network. This module looks at the development of the Semantic Web, at the technologies underlying it, and at the way in which those technologies are applied.

Module Overview

Open data, pitched as the raw material of the new industrial revolution, holds great promise, but how do you exploit this new resource?

This course is specifically designed to give students a greater understanding on how to innovate with open data. This course introduces the tools, techniques and skills required to rapidly innovate using data and how to pitch these ideas to potential investors. The course balences technical and non technical content throughout allowing development in all skill areas required to make a career in rich applications using open data. 

Module Overview

Despite the current financial climate, the subject of Computational Finance is both intellectually challenging and attractive to students from an employment point of view. It is thought the MSc in Artificial Intelligence could be made more attractive to overseas students by the introduction of this topic in the curriculum. Also, many graduates from our undergraduate programmes join the financial sector, and are likely to find knowledge of the subject giving them a competitive advantage when attempting to do so. Elsewhere in the University there are modules and programmes in Mathematical Finance, and this module will be designed to be distinct from them in emphasizing the computational aspect, in a hands-on teaching environment.

To do this module, you should be competent in basic calculus, including ordinary differential equations, and programming in some high level language (e.g. Java)

Module Overview

Biometrics is about how we can recognise people automatically, by personal characteristic. We all have fingerprints and faces - and they are unique. We have to sense the information, process it and then deliver an assessment of the identity associated with that data. That's what this course is about: it's about electronics, computer science, maths, and pattern recognition. It assumes you have numerate skills, and can program a computer in some way. The course does rely much on computer vision, as most biometrics technologies are based on computer vision. Some grounding in this will be part of the course. You might choose to take this course if you are interested in cutting edge technology, much of which is still in a research stage, which whilst benefitting, even challenges the way society operates. The course will be given by Mark Nixon who has been involved in biometrics from its infancy, and who has pioneered biometrics technologies (gait, ear and soft...... yes "soft"), all at Southampton. The course has evolved from many professional courses, professional tutorials (IEEE/ IAPR etc) and from the many keynote/ plenary lectures that I (Mark) have given over the years. The course will be challenging, but also should be a very interesting and enjoyable introduction to an area of topical interest worldwide.

Module Overview

This module aims to introduce the area of software verification. A range of approaches will be covered.  The use of specification languages, including logics, and the use of tools to support verification will be explored. The module will provide practical experience in using modern verification tools as well as covering some of the theory underpinning the correctness of these tools. The module is optional but MSc Software Engineers must choose this module and/or Automated Code Generation.  The pre-requisite knowledge is basic familiarity with discrete mathematics and first-order logics.