Embedded Intelligent Systems MSc

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Comments about Embedded Intelligent Systems MSc - At the institution - Hatfield - Hertfordshire

  • Objectives
    On this programme you will focus on hardware and software integration methodologies together with the incorporation of modern neuro-fuzzy technologies, with the aim of developing systems that are able to improve their effectiveness through learning. Such systems can include autonomous robots on one hand and media-processing-intensive PDAs on the other. You will study leading-edge applications such as biometric authentication and speech-based interaction. You will be taught by experienced research and teaching staff with expertise in the specialist fields and you will be learning about the latest theories, techniques and technologies. You will need an understanding of both generic and domain-specific research techniques, and the ability to apply them in your own work. A module in research methods enables you to develop these techniques, moving from generic skills, such as the design and evaluation of experiments, to focus on the specific skills that you will need for your own project. An important outcome of the module is a well-structured report, augmented by the use of appropriate artefacts and media, presenting your proposals for your specialist project. In the first two semesters of the programme you take modules exploring a variety of current research topics in electronics and related areas. In the summer period, you complete a project which enables you to demonstrate your understanding of the principles and concepts that you have learned and your ability to apply them to a substantial piece of development or investigative work.
  • Academic title
    Embedded Intelligent Systems MSc
  • Course description

    You will typically be employed in the design and implementation of advanced digital systems and networks in the communication and control industries. Within your area of expertise, you will be making independent design decisions on mission-critical systems.

    Teaching methods

    Our enthusiastic staff is always looking for new ways to enhance your learning experience and over recent years, we have won national awards for our innovative teaching ideas. In addition our staff are active in research and useful elements of it are reflected on the learning experience. Learning tools such as StudyNet, unique to the University of Hertfordshire, are extremely useful for the learning environment of the student.

    Course content

    Year 1 - full details

    Core modules

    -Advanced Computer Architecture
    -Biometric Systems and Speech Processing
    -Modular Masters in Electronics Project
    -Neurofuzzy Systems and Cybernetics
    -Operations Management 1
    -Research Methods and Case Studies
    -Software Radio and DSP in Communications

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