Postgraduate Course: Project Preparation (HPC and HPC with Data Science) (EPCD11008)
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 | 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 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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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2024/25, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Online Activities 30,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% coursework, split into:«br /»
70% Project Preparation Report«br /»
10% Repository«br /»
20% Presentation |
| Feedback |
Provided through regular interaction (weekly/fortnightly depending on length and project needs) with supervisor and on both draft and 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
| Will depend on topic selected/proposed by student. |
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 is a Semester 2 course, but students should enrol onto it at the start of the academic year. During Semester 1 there will be some initial briefing sessions about the dissertation process as a whole as well as opportunities to discuss and develop project ideas as well as reviewing projects proposed by EPCC staff. Any student wishing to take the course not enrolled already during Semester 1 will miss these opportunities (which will not prevent taking the course, but will leave more work to be done and may reduce supervision options). |
| 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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