MA50261: Research project preparation
[Page last updated: 23 October 2023]
Academic Year: | 2023/24 |
Owning Department/School: | Department of Mathematical Sciences |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | CW 100% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Learning Outcomes: |
After taking this unit a student should be able to:
* critically analyse and review previous work in a chosen subject area; * undertake and document a detailed literature review in a chosen area of computer science research; * have a feasible project proposal for the Summer dissertation * understand the principles of structuring a dissertation. |
Synopsis: | Skills needed for writing for scientific reports, papers and dissertation. Having identified the area of work and been assigned a project advisor, the student will undertake a conceptual review, a literature search, and a critical analysis of previous work. In consultation with the project advisor the student will write a research review and proposal for a subsequent research project. |
Aims: | To acquire the skills to undertake a research project in Statistics. |
Skills: | Undertaking a primary research literature search (T, F, A); assessing the relevance of research publications (T, A); judging the quality of secondary research resources, such as web resources (T, A); critical analysis of research papers (T, F, A); writing a review of a research area (T, A); preparing a research proposal (T, A). |
Content: | Skills needed for writing for scientific reports, papers and dissertation. Having identified the area of work and been assigned a project advisor, the student will undertake a conceptual review, a literature search, and a critical analysis of previous work. In consultation with the project advisor the student will write a research review and proposal for a subsequent research project. |
Course availability: |
MA50261 is Compulsory on the following courses:Department of Computer Science
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Notes:
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