Postgraduate Course: Data Science, Technology and Innovation Dissertation (INFD11003)
|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
|Summary||*This course replaces the course 'Data Science, Technology and Innovation' INFR11159 from 2019/20.
*This course is for students on the 'Data Science, Technology and Innovation' programme, choosing to do an Informatics based MSc project*.
This is a major piece of full-time independent work. It is intended to allow students to demonstrate their ability to organise and carry out a substantial investigation into a problem in Informatics, according to sound scientific and engineering principles. The project involves both the application of skills learnt in the past and the acquisition of new skills.
The types of activity involved in each project will vary but will include most of the following:
* Researching the literature and gathering background information.
* Analysing requirements, comparing alternatives and specifying a solution.
* Analysing and extending relevant theory in novel ways.
* Designing and implementing the solution.
* Experimenting with and evaluating the solution.
* Discussing existing results and presenting new research.
* Developing written and oral presentation skills.
The project is conducted individually by the student under the supervision of a member of teaching staff. Students are formed into groups for the purpose of a Review Meeting.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| Students must have any particular courses that would be expected for the normal Informatics MSc project.There are normal project-specific requirements as is the case with projects proposed for local MSc students. Students will normally need to have local access to any physical facilities needed for the project (or be prepared to travel to Edinburgh periodically to access the equipment).
Course Delivery Information
|Academic year 2022/23, Not available to visiting students (SS1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Supervised Practical/Workshop/Studio Hours 15,
Programme Level Learning and Teaching Hours 12,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Written Exam 0%
Practical Exam 0%
The project is assessed on the basis of a written dissertation which should typically contain:
Title page with abstract (a one or two paragraph summary of the contents).
Introduction : background, previous work, exposition of relevant literature, setting of the work in the proper context.
Description of the work undertaken : this may be divided into chapters describing the conceptual design work and the actual implementation separately. Any problems or difficulties and the suggested solutions should be mentioned. Alternative solutions and their evaluation should also be included.
Analysis : results and their critical analysis should be reported, whether the results conform to expectations or otherwise and how they compare with other related work.
Conclusion : concluding remarks and observations, unsolved problems, suggestions for further work.
Students may be required by their project markers to demonstrate any system that arose from the project.
|No Exam Information
On completion of this course, the student will be able to:
- Structure, summarise and critically evaluate a body of knowledge relating to a substantial project topic in Informatics
- Conduct a programme of work in further investigation of issues related to the topic
- Discuss and solve conceptual problems which arise during the investigation
- Critically evaluate the investigation, including design choices made
- Present their work orally and visually, with demonstration of working artifacts where appropriate
|Graduate Attributes and Skills
||Within the work to be undertaken, this course will provide the MSc candidate with the opportunity to develop or further develop the following key graduate attributes:
- in-depth knowledge of specialist discipline
- develop new understanding by exercising critical judgment and challenging knowledge
- be a self-directed and curious learner
- solve problems effectively taking ethical, professional and environmental issues into account
- use information responsibly in a range of contexts
- engage in reflective practice and self-development
- collaborate with others, capitalising on their different thinking, experience and skills
- communicate (written, oral, online) effectively respectful of social and cultural diversity
- application of numeracy
- application of IT
|Course organiser||Dr Christopher Lucas
Tel: (0131 6)51 3260
|Course secretary||Ms Lindsay Seal
Tel: (0131 6)50 2701