Postgraduate Course: Project Preparation (DSTI) (INFD11027)
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 supervised by EPCC for students in Data Science, Technology and Innovation. The precise topics covered will vary depending on the individual project selected.
Topics covered:
- Proposal and abstract writing
- Report writing
- Good Academic practice
- Professional Skills
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
Not being delivered |
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.
- Deliver 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 a lay audience, including other members of the MSc programme, a description of the project topic and the proposed workplan.
- Review and understand relevant material and background to a project.
- 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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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 designed for students on the MSc in Data Science, Technology and Innovation who wish to take a dissertation project with a supervisor in EPCC. Please contact the DSTI programme team and/or the Course Secretary for further information |
Keywords | Project Preparation,EPCC,HPC,HPCwDS,Parallelism,Data Science,Professional Skills,Online |
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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