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DRPS : Course Catalogue : School of Informatics : Informatics - Distance Learning

Postgraduate Course: Project Preparation (DSTI) (INFD11027)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis 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 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Course Start Date 15/01/2024
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Dissertation/Project Supervision Hours 6, Online Activities 6, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 86 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 0% Initial Project Proposal/Abstract (Formative)«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:
  1. Describe in writing the scope of the topic of their individual research project.
  2. 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.
  3. Present to a lay audience, including other members of the MSc programme, a description of the project topic and the proposed workplan.
  4. Review and understand relevant material and background to a project.
  5. Understand the importance and practicalities of maintaining a repository to track the development of the project (e.g., code, meeting minutes, etc.)
Reading List
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
KeywordsProject Preparation,EPCC,HPC,HPCwDS,Parallelism,Data Science,Professional Skills,Online
Course organiserDr Anna Roubickova
Course secretaryMiss Jemma Auns
Tel: (0131 6)51 3545
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