MMATH Project in Statistics - 2019 entry
MODULE TITLE | MMATH Project in Statistics | CREDIT VALUE | 45 |
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MODULE CODE | MTHM044 | MODULE CONVENER | Prof Daniel Williamson (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 11 | 11 |
Number of Students Taking Module (anticipated) | 20 |
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In this module you will become part of the research group in statistical science and write an independent project with a substantial research element. You will undertake the project individually, under the supervision of a member of faculty in statistical science and as a part of that member of staff’s wider research group, potentially including post doctoral researchers and PhD students tackling problems in the same or similar areas to yours. There will be a range of potential projects to choose from, aligning with the research interests of the participating members of the statistical science faculty. Projects will typically require mastering some theory beyond that given in undergraduate statistics courses and modelling/data analysis using statistical software, with the weighting of these elements varying according to the research problem. Each student will leave a lasting mark on the department. They will produce a poster, which will be displayed in the department for 1 year and will appear on the statistics webpages. They will be recognised as part of the research group on the statistical science webpages.
Note: projects offered will build on material in level 3 Statistics modules and as a result each project will have one or more further prerequisites and/or co-requisites. These will be specified in the list of projects offered to students and available on the module ELE page.
Prerequisites: ECM1707/MTH1004, ECM2709 ECM2710/MTH2006, Project dependent 3rd year modules
Corequisites: Project dependent 3rd/4th year modules
The aim of the module is to put into practice the knowledge and skills you have acquired so far in your degree programme, and to engage you with modern statistical theory and techniques and applied or theoretical statistical research. You will gain experience of many aspects of statistical research work. These may include: literature review; planning; engaging with an application in another field of science or social science; statistical modelling; data analysis; technical report writing; poster writing and oral presentation. You will be expected to exercise more autonomy on this research project than in more formal modules.
On successful completion of this module you should be able to:
Module Specific Skills and Knowledge
2. work independently and creatively on a substantial piece of work with application to modern, topical and high-impact science or social science;
Discipline Specific Skills and Knowledge
5. appreciate the symbiotic relationship between statistics and applied science/social science, and evaluate the project within that wider context;
Personal and Key Transferable / Employment Skills and Knowledge
8. plan an extended project, and use your time effectively;
This is specific to the project topic concerned.
Scheduled Learning & Teaching Activities | 25 | Guided Independent Study | 425 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled learning and teaching activities | 25 | Individual supervision |
Guided independent study | 425 | Guided independent study |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Not Applicable | |||
Coursework | 90 | Written Exams | 0 | Practical Exams | 10 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework – written project report | 65 | 25-30 pages | All | Written |
Poster and Oral presentation | 20 (10 each) | A2 Poster, 20 minutes talk including questions | 1,4,7,10,11 | Written |
Literature Review | 15 | 12-16 pages | 1,4,5,7,9,10 | Written |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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As Above | Coursework (100%) | All | Completed over summer with a deadline in August |
All referred/deferred assessments will normally be by assignment.
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
To be made available by project supervisors.
ELE: http://vle.exeter.ac.uk/
Web based and Electronic Resources:
Other Resources:
Reading list for this module:
CREDIT VALUE | 45 | ECTS VALUE | 22.5 |
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PRE-REQUISITE MODULES | None |
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CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Tuesday 10th July 2018 | LAST REVISION DATE | Tuesday 10th July 2018 |
KEY WORDS SEARCH | Statistics, Stats project, Data analysis, Data Science. |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.