Postgraduate Course: Dissertation (HPC with Data Science) (INFD11029)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Not available to visiting students |
| SCQF Credits | 60 |
ECTS Credits | 30 |
| Summary | The dissertation comprises a report of c.15000 words describing an MSc project undertaken between May and mid-late August applying the practical skills and knowledge from the taught courses on MSc in HPC with Data Science. Students are also required to present their work to the department.
The dissertation must be based on original work carried out solely by the candidate and conform to the University's regulations. The project work may be undertaken within the University or in an external organisation with an appropriate focus. The subject area covered by the project can, with the approval of the Programme Director, be chosen by the candidate to align with their own research interests. |
| Course description |
Research-level work in Data Science, to include:
- Critically review previous work in the area.
- Plan and implement a programme of work to investigate the topic.
- Analyse the results in the context of previous work.
- Present the work in the form of a written dissertation.
- Summarise the work in an oral presentation to an academic audience.
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2021/22, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Full Year |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
600
(
Dissertation/Project Supervision Hours 26,
Programme Level Learning and Teaching Hours 12,
Directed Learning and Independent Learning Hours
562 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Dissertation Report (92%), Presentation (8%) |
| Feedback |
Provided through interaction with supervisor and on assessed work. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Critically review previous work in the area.
- Plan and implement a programme of work to investigate the topic.
- Analyse the results in the context of previous work.
- Present the work in the form of a written dissertation
- Summarise the work in an oral presentation to an academic audience.
|
Additional Information
| Graduate Attributes and Skills |
Effective written and diagrammatic communication.
Reflection on learning and practice.
Adaptation to circumstances.
Solution Exploration, Evaluation and Prioritisation. |
| Keywords | Dissertation,HPCwDS,EPCC,Research Project,Industrial Project,Parallelism,Data Science |
Contacts
| Course organiser | Dr Anna Roubickova
Tel:
Email: a.roubickova@epcc.ed.ac.uk |
Course secretary | Miss Jemma Auns
Tel: (0131 6)51 3545
Email: Jemma.Auns@ed.ac.uk |
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