Postgraduate Course: Project Preparation (INFR11173)
This course will be closed from 31 July 2024
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| Summary | This course has been replaced by EPCC11008 Project Preparation
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 awritten report and make an oral presentation that both describe the background to the project and outline the plan for its successful completion.
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| Course description |
This course has been replaced by EPCC11008 Project Preparation
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
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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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Reading List
| Dependent on project topic, initial list provided on project wiki by individual supervisors1. On completion of this course students should be able to: Describe in writing the scope of the topic of their individual research project. |
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 |
Only available to students on the MSc Programmes in High Performance Computing or High Performance Computing with Data Science. |
| Keywords | Project Preparation,EPCC,HPC,HPCwDS,Parallelism,Data Science,Professional Skills |
Contacts
| Course organiser | Mr Julien Sindt
Tel: (0131 6)50 5030
Email: |
Course secretary | Miss Jemma Auns
Tel: (0131 6)51 3545
Email: |
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