Postgraduate Course: Project Preparation (EPCC11008)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course comprises all aspects of the planning for the individual research project and is undertaken by the student in conjunction with the project supervisor(s). The student and supervisor(s) will agree the topic of the project, after which the student will conduct initial reading to refine the scope of the project and to inform the development of a detailed plan and assessment of its feasibility for its implementation. The student will deliver a written report and make an oral presentation that both describe the background to the project and outline the plan for its successful completion. |
| Course description |
This course encompasses the selection and preparation phase for a dissertation project in High Performance Computing or High Performance Computing with Data Science. The precise topics covered will vary depending on the individual project selected.
Topics covered:
- Report writing
- Academic misconduct and how to avoid it
- Professional Skills
Students are responsible for setting the schedule of meetings with their supervisor and preparing for these in order to make most effective use of time within these. Students are responsible for taking ownership of their projects, though should be mindful of guidance and feedback provided by their supervisor(s).
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Course Delivery Information
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| Academic year 2023/24, Not available to visiting students (SS1)
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Quota: 54 |
| Course Start |
Full Year |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 11,
Dissertation/Project Supervision Hours 7,
Feedback/Feedforward Hours 1,
Summative Assessment Hours 1,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
78 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
80 %,
Practical Exam
20 %
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| Additional Information (Assessment) |
80% Coursework (70% Report, 10% repository), 20% Oral Presentation (given after Semester 2 exams) |
| 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:
- Describe in writing the scope of the topic of their individual research project.
- Define a written project proposal, to be agreed with the project supervisor(s), which includes a workplan, risk analysis and indications of additional work that can be undertaken if time allows.
- Present to an audience, including other members of the MSc programme, a description of the project topic and the proposed workplan.
- Review and analyse current state of the field
- Practice, and understand the importance and practicalities of, maintaining a repository to track the development of the project (e.g. code, meeting minutes, etc.)
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Reading List
| Dependent on project topic, initial list provided through discussions with individual supervisors. |
Additional Information
| Graduate Attributes and Skills |
Effective written and diagrammatic communication.
Reflection on learning and practice.
Solution Exploration, Evaluation and Prioritisation.
Presentation Skills.
Presentation of complex data to varied audience. |
| Special Arrangements |
This course is only available to students on MSc in High Performance Computing or MSc in High Performance Computing with Data Science. |
| Keywords | Project Preparation,EPCC,HPC,HPCwDS,Parallelism,Data Science,Professional Skills |
Contacts
| Course organiser | Dr Anna Roubickova
Tel:
Email: a.roubickova@epcc.ed.ac.uk |
Course secretary | Mr James Richards
Tel: 90131 6)51 3578
Email: J.Richards@epcc.ed.ac.uk |
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