Postgraduate Course: MSc by Research Thesis (Data Science; 120pt) (INFR11107)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Course type | Dissertation |
Availability | Not available to visiting students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 120 |
| Home subject area | Informatics |
Other subject area | None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/rtds+/ |
Taught in Gaelic? | No |
| Course description | Students will pursue a year long research project in Data Science which results in a written dissertation. The research must demonstrate competence, knowledge, and be presented in a critical and scholarly way, demonstrating that the student is capable of undertaking independent research.
For this 120 credit project, the dissertation will normally include a more extensive investigation and critical evaluation of the topic, the use of more advanced methodology, or more time-intensive research methods than in a 90 credit project.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | For students on the MSc by Research in Data Science only. |
| Additional Costs | None |
Course Delivery Information
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| Delivery period: 2014/15 Full Year, Not available to visiting students (SS1)
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Learn enabled: No |
Quota: None |
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Web Timetable |
Web Timetable |
| Course Start Date |
15/09/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
1200
(
Seminar/Tutorial Hours 10,
Dissertation/Project Supervision Hours 40,
Programme Level Learning and Teaching Hours 24,
Directed Learning and Independent Learning Hours
1126 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| No Exam Information |
Summary of Intended Learning Outcomes
1 - Structure and summarise a body of knowledge relating to a substantial project topic in the area of Data Science.
2 - Critically evaluate previous work in the area.
3 - Conduct a programme of work in further investigation of issues related to the topic.
4 - Discuss and solve conceptual problems which arise during the investigation.
5 - Justify design decisions made during the investigation.
6 - Critically evaluate the investigation.
7 - Present their work, with demonstration of working artifacts where appropriate.
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Assessment Information
Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
The project is assessed completely on the basis of a written thesis which should typically contain:
Title page with abstract (a one or two paragraph summary of the contents).
Introduction : background, previous work, exposition of relevant literature, setting of the work in the proper context.
Description of the work undertaken : this may be divided into chapters describing the conceptual design work and the actual implementation separately. Any problems or difficulties and the suggested solutions should be mentioned. Alternative solutions and their evaluation should also be included.
Analysis : results and their critical analysis should be reported, whether the results conform to expectations or otherwise and how they compare with other related work.
Conclusion : concluding remarks and observations, unsolved problems, suggestions for further work.
Bibliography.
Students may be required by their project markers to demonstrate any system that arose from the project.
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Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Project dependent. |
| Transferable skills |
Not entered |
| Reading list |
Project dependent. |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Iain Murray
Tel: (0131 6)51 9078
Email: I.Murray@ed.ac.uk |
Course secretary | Ms Katey Lee
Tel: (0131 6)50 2701
Email: Katey.Lee@ed.ac.uk |
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