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Masters' Dissertation Research Proposal for Applied Computing Course
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This coursework assesses your ability to clearly present your proposed research idea for a Masters’ dissertation. You are expected to develop your self-negotiated research proposal which must either be an Applied Computing proposal. See further details on the proposal types in the coursework details table below.

  • Presentation video must not be more than 5 minutes in length.
  • Slides must be submitted as a PDF document
  • Front page must have module title, code, submission date, student ID number
  • URL to your video recording must be included on the submission front page.
  • Student identity number must appear on the coursework front page.
  • Student name must not be included in your coursework submission.
  • Work must be referenced, and a reference (and bibliography if used) list provided.

Make sure you understand the University Regulations on expected academic practice and academic misconduct. Note in particular:

?Your work must be your own. Markers will be attentive to both the plausibility of the sources provided as well as the consistency and approach to writing of the work. Simply, if you do the research and reading, and then write it up on your own, giving the reference to sources, you will approach the work in the appropriate way and will not give markers reason to question the authenticity of the work.

?All quotations must be credited and properly referenced. Paraphrasing is still regarded as plagiarism if you fail to acknowledge the source for the ideas being expressed.

When you upload your work to the Moodle site it will be checked by anti-plagiarism software.

This assessment (CW1 in the table below) will fully or partially assess the following learning outcomes for this module.

  • Demonstrating a systematic understanding of the domain of research and research driven projects including: the importance of research, methodologies, driving innovation and contribution.
  • Consistently producing and reviewing research informed work which applies and is at the forefront of developments in the domain.
  • Study and management of associated research projects including: timescales, risk identification/management, cost and quality constraints, as well as ethics working within professional frameworks and social/legal constraints.
  • Conduct a critically evaluative analysis of a case based domain using appropriate statistical and quantitative methods; also developing the in-depth knowledge necessary to identify and apply suitable techniques in order to synthesize advanced theory/practical concepts. - Fully
  • Specify/critically evaluate a project applying appropriate techniques, life-cycle/methodology; conducting effective independent research. Fully Partially
  • Develop the in-depth knowledge necessary to identify statistical, modelling and quantitative project domains and apply suitable techniques in order to synthesize advanced concepts to derive innovative research solutions using suitable tools; as well as being able to specify, manage, and critically evaluate a project applying appropriate research concepts, technology, techniques, and life-cycle/methodology.
  • Be able to make concise, engaging and well-structured oral presentations, arguments and explanations; Communication /presentation of advanced research projects and concepts to a wide range of audiences.
  • Critically evaluate existing/emerging research technology and techniques, carrying out independent research, recognize and contribute to opportunities for innovation, deal with uncertainty, evaluate and manage risks, synthesise ideas/theories/solutions and report back appropriately to your peers, also conducting effective peer reviews.
  • Self-manage your study time and work effectively to meet deadlines, select and evaluate appropriate knowledge, skills, etc...; also select and evaluate supporting resources/tools for a particular purpose, as well as being able to make effective contributions as team members/leaders when required.

LSBU marking criteria have been developed to help tutors give you clear and helpful feedback on your work. They will be applied to your work to help you understand what you have accomplished, how any mark given was arrived at, and how you can improve your work in future.

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