Individual Research Project (Distributed Scientific Computing) (P03119)

? Credit Points : 60 ? SCQF Level : 11 ? Acronym : PHY-P-IRP

This course comprises a supervised individual research project, which exercises and/or extends the expertise developed during the taught component of the programme, and applies it to a research topic in distributed computing, drawn from academia or industry. During the Project Preparation (Distributed Scientific Computing) course undertaken in Semester 2, the student and project supervisor(s) will define the topic to be addressed in the individual research project and develop a plan for its performance. This course centres on the execution of that plan, through to the production of a c.15,000 word dissertation describing the project and the delivery of a short presentation outlining its important features. The topic of the project must be agreed with the Programme Director, but may be chosen with the personal interests of the student in mind, provided that it constitutes original work conducted solely by the student, in accordance with University regulations.

Entry Requirements

? This course is not available to visting students.

? Pre-requisites : The performance of students in the taught component of the MSc must be such as to satisfy the progression criteria set out in the Programme Handbook.

Subject Areas

Home subject area

Postgraduate (School of Physics and Astronomy), (School of Physics and Astronomy, Schedule Q)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Not being delivered

? Additional Class Information : Meetings of the MSc class will be scheduled to cover practical aspects of the Individual Research Project, and progress meetings will be arranged for individual students, together with their supervisor(s) and the Programme Director.

Summary of Intended Learning Outcomes

On completion of this course, students should be able to:
1. Conduct original research, according to a plan agreed with the project supervisor(s);
2. Demonstrate time-management and organizational skills through adherence to the project plan;
3. Design, develop and deploy a software solution meeting the requirements of scientific problem;
4. Describe, orally and in writing, the salient points of the context, planning and execution of a research project;