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MSc Intelligent Systems and Robotics

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  • Objectives
    MSc Advanced Mobile Robotics is a programme of study designed for graduates with a first degree in computer science or related discipline. Its main teaching aims are: 1) to prepare students for careers in advanced research and/or development in mobile robotics by equipping them with relevant and up-to-date knowledge and skills 2) to develop the students' ability to make a critical evaluation of the theories, techniques, tools and systems used in this field and associated areas of electronics and computer science 3) to enable students to contribute to future developments in the field by providing them with an understanding of recent advances and current research activity 4) to enable students to develop particular expertise in a chosen area of mobile robotics 5) to develop the students' ability to undertake research by providing appropriate resources and guidance in their use 6) to develop the students' ability to make an effective contribution to team-based activity 7) to encourage students to adopt an investigative approach and develop autonomous study skills in order to assist their continuing professional development.
  • Entry requirements
    Entry Qualifications 1st or Upper 2nd class degree (or equivalent) in Computer Science or a related subject. Account is taken of relevant experience.
  • Academic Title
    MSc Intelligent Systems and Robotics
  • Course description

    Course Description
    This course provides students the knowledge to design and build intelligent computer systems, and to understand current trends in this rapidly-evolving area. Students will learn the techniques and mechanisms for constructing such systems and develop practical skills and experience in building them, largely through their use in robots. Emphasis is placed on design methodologies and the study and application of systems integration procedures. A first degree in computer science or engineering is suitable for entry to this scheme; graduates are able to work in many areas, ranging from industrial robotics to the modelling of customers in buildings and shops.

    Modules and Options

    The lists of modules below represent the range of options available for each year of study. This may not be a complete list of the options you will study, and may be subject to change, so please contact the department for further details.

    Stage 1

        BIOLOGICAL SIGNAL ANALYSIS
        Compulsory: BIOLOGICALLY INSPIRED ROBOTICS
        Compulsory: MACHINE LEARNING AND DATA MINING
        Compulsory: MATHEMATICAL RESEARCH TECHNIQUES USING MATLAB
        Compulsory: PROFESSIONAL PRACTICE AND RESEARCH METHODOLOGY
        Compulsory: SCIENTIFIC METHODS IN AUTONOMOUS AGENT RESEARCH
        Compulsory: SENSOR SIGNAL PROCESSING
        Compulsory: SITUATED AUTONOMOUS AGENTS AND AUTONOMOUS MOBILE ROBOTS
        Core: GROUP PROJECT
        INDUSTRY BASED PROJECT AND DISSERTATION
        MSC PROJECT/DISSERTATION

    Teaching and Assessment Methods
     
    A: Knowledge and Understanding
        Learning Outcomes
        A1 : Theory : current concepts, principles and theories relevant to the design and construction of software.
        A2 : Techniques : methods, tools and enabling technologies used in, or arising from the design and construction of software.
        A3 : Applications : established and potential applications of techniques developed within the design and construction of software.
        A4 : Professional Issues : legal and ethical issues relating to the present and future use of technology developed within the design and construction of software.

        Teaching Methods
        Lectures are the principal method of delivery for the concepts and principles involved in A1 - A4. Students are also directed to reading from textbooks, academic papers and on-line material.

        Understanding is reinforced by means of exercise classes, discussion groups, laboratories and assignments.

        Knowledge of a particular topic, chosen by the student from within his/her areas of specialisation, is gained in CE902 through a staff led literature search which forms the basis for weekly group discussions.

        Individual supervision of the summer project and dissertation provides further support for the development of those areas of knowledge relevant to the student's chosen topic.

        Assessment Methods
        Achievement of knowledge outcomes is assessed primarily through unseen closed-book examinations and marked coursework.

        Understanding of professional issues (A4) is assessed by MCT during the course of the term.

        The assessments of CE902 coursework and the CC901 dissertation includes specific allocation of marks for the breadth and depth of the knowledge gained during the study of the chosen topic.

        An assessment of the understanding of principles and implementation techniques forms part of the overall assessment of the summer project and dissertation.

    B: Intellectual/Cognitive Skills
        Learning Outcomes
        B1 : Analyse problems in the area of mobile robotics and select the most appropriate techniques for their solution;
        B2 : Evaluate and apply critical judgement to the theories and techniques that relate to mobile robotics and its associated technologies;
        B3 : Interpret the contents of research articles and identify those results and findings that are significant;
        B4 : Construct informed and reasoned arguments, descriptions and proposals that incorporate advanced knowledge of mobile robotics and its associated technologies.

        Teaching Methods
        The basis for intellectual skills is provided in lectures, and they are developed by means of recommended reading, guided and self directed study, assignments and project work.

        B1 is a key element of most assignments and central to the group project, CC475.

        B2 is developed through exercises and exposure to a range of systems software.

        In CC471, the acquisition of B3 and B4 is supported by lectures about research methodology and report writing, and further developed during tutor led group discussions.

        Individual supervision of the summer project and dissertation provides further support for the development of skills B1 - B4.

        Assessment Methods
        Achievement of intellectual skills B1 and B2 is assessed primarily through unseen closed-book examinations, marked assignments and project work.

        The assessments of CC471 coursework and the CE901 dissertation include specific allocation of marks for use of original sources (B3), clarity of description and originality (B4).

    C: Practical Skills
        Learning Outcomes
        C1 : Make effective use of a range of theories, techniques, programming languages, operating systems, design support tools and development environments
        C2 : Specify, design, implement, test and document a mobile robot system;
        C3 : Work as a member of a development team, contributing to the planning and construction of a mobile robot system;
        C4 : Propose, plan, undertake and report a self-directed individual programme of investigation, design and implementation

        Teaching Methods
        Practical skills are developed in exercise classes, laboratory classes, assignments and project work.

        C1 is developed through exercises and exposure to a range of systems software.

        Various aspects of C2 are acquired in design, programming and other assignments, and further developed in group and individual project work.

        C3 is developed in the group project, CC475.

        C4 is developed during the supervision of the summer project and dissertation.

        Assessment Methods
        Achievement of practical skills is assessed through marked coursework, project reports, oral presentations and demonstrations of completed systems.

        An assessment of the extent to which students have demonstrated practical research skills (C4) forms part of the overall assessment of CC471, and the summer project and dissertation, CE901.

    D: Key Skills
        Learning Outcomes
        D1 : Communicate effectively in written reports and oral presentations using appropriate terminology and technical language
        D2 : Retrieve information using search engines, browsers and catalogues; use appropriate IT facilities to prepare and present technical reports in various formats (documents, oral presentations)
        D3 : Use mathematical techniques in the processes of analysis and design
        D4 : Analyse complex problems and design effective solutions
        D5 : Plan and manage team projects using available support tools; work effectively as part of a team
        D6 : Organise activity and manage time in a programme of self-directed study

        Teaching Methods
        The development of key skills forms an integral part of the students' overall learning activity. In particular

        D1 and D2 are developed in group and individual project work.

        D2 is developed through the use of the internet as a major information source, and practice in the use of tools such as Word and PowerPoint.

        D3 and D4 are developed in exercises and assignments.

        D5 and D6 are developed in the group project.

        D6 is further developed in CE901, the summer project and dissertation.

        Assessment Methods
        Assessment of the key skills D3 and D4 is intrinsic to subject based assessment.

        The assessment of project work includes specific allocations of credit for project management (D5, D6) and the quality of presentations (D1 and D2).

        An individuals contribution to the group project (D5) is in part determined by means of a submission containing reflective and self-assessment components.

        The assessments of the CC471 coursework and the CE901 dissertation include specific allocation of credit for the quality, extent and relevance of a bibliography, including internet sources (D2).

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