MSc-Postgraduate Diploma in Agile Software Engineering Techniques

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  • Objectives
    Today, software is becoming ever more complex, developed with very short time to market, and required to cope with changing requirements. This scenario calls for increased levels of flexibility and agility, both in the technologies used and the processes followed for engineering software. This MSc will provide a sound background on the methods and techniques that can meet these challenges. Hands-on modules based on the Eclipse framework will ensure that this knowledge is framed in practical contexts of usage.
  • Entry requirements
    Entry requirements Normally at least a good second class honours BSc degree or qualification of equivalent standard recognised by the University in a subject with a substantial element of Computing. Applications are treated on an individual basis, however, and so alternative qualifications may be considered, especially in the case of candidates with relevant work experience.
  • Academic title
    MSc/Postgraduate Diploma in Agile Software Engineering Techniques
  • Course description
    Course modules

    Each specialist course consists of six core modules and two option modules. For the MSc there is also a project. All courses include the core module ‘Personal and Group Skills’.
    Core Modules

    -Domain Specific Languages
    -Generative Development
    -Service Oriented Architectures
    -System Re-Engineering

    Recommended Option

    -Software Process Engineering

    Option modules are chosen from the following list:
    Option modules

    -Advanced System Design
    -Advanced Web Technologies
    -Algorithms for Bioinformatics
    -C++ Programming and Advanced Algorithm Design
    -Discrete Event Systems
    -Domain Specific Languages
    -Game Theory in Computer Science
    -Generative Development
    -Networking and Distributed Computing
    -Semantic Web
    -Service-Oriented Architectures
    -Software Process Engineering
    -Software Reliability
    -System Re-engineering
    -Analysis and Design of Algorithms*
    -Applied Numerical Mathematics*
    -Communication and Concurrency*
    -Compression Methods for Multimedia*
    -Cryptography and Information Security*
    -Distribution Systems and Applications*
    -Financial Mathematics
    -Formal Software Specification
    -Operations Research
    -Programming Secure and Distributed Systems
    -Software Measurement and Quality Assurance
    -Wavelets and Signal Processing
    -Web Technologies

    Teaching and assessment methods

    Teaching is by a variety of methods including lectures, seminars, self-paced learning and practicals. Assessment of taught modules is by coursework and examination. Coursework consists of a mixture of computer-based practicals, essays and small group projects. The compulsory Personal and Group Skills module combines attendance of seminars, group discussions and collective essay writing on topics selected for the seminars, as well as attendance at a series of workshops on transferable skills and career planning. The project is assessed separately.

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