Postgraduate Course: Project Preparation (HPC and HPC with Data Science) (INFD11026)
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
|
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 |
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) |
0% Initial Project Proposal/Abstract - Used as formative preparation for final project. «br /»
80% Final Project Plan, Proposal, and Feasibility Analysis «br /»
10% Repository «br /»
10% Presentation ¿ Prerecorded and uploaded not live«br /»
|
| Feedback |
Provided through regular interaction (between fortnightly and monthly depending on student/project needs and schedule) 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.
- 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.)
|
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 MSc High Performance Computing or MSc High Performance Computing with Data Science (Online Learning) students. PGDip students may apply to the Programme Director to take the course in advance of a potential transfer to the MSc, |
| 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 |
|
|
University Homepage