Undergraduate Course: Informatics Project Proposal (Graduate Apprenticeship) (INFR10082)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | The aim of this course is to develop generic research and/or practical skills that can be deployed in academic or commercial environments. Apprentices will demonstrate their ability to develop interesting concepts and/or hypotheses into proposals appropriate for larger research or implementation-based project and demonstrate their ability to identify legal, social, ethical and professional issues. |
| Course description |
The structure and delivery of this course will vary according to the nature of the project and will be agreed upon between student and supervisor at the start of the semester. Representative activities might include literature review, data preparation, preliminary implementation, or establishing connections and gathering requirements from stakeholders. The student will then produce a project proposal that explains the hypotheses and/or goals, project management, and milestones with approximate times with some justification for these decisions. Key methodologies should be introduced.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | The course is only available to students on the Data Science (Graduate Apprenticeship) programme. |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- critically evaluate research literature or other prior work appropriate for their project subject.
- use existing research literature or other prior work to justify choices in experimental design, theoretical goals, and/or implementation.
- develop a structured project proposal.
- outline project/research management issues and potential legal, social, ethical or professional issues.
- illustrate how the proposed project is linked to their professional development as a data science practitioner under the Graduate Apprenticeship scheme.
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Additional Information
| Graduate Attributes and Skills |
1. Cognitive skills:
- analytical thinking in constructing a critical review of literature relating to the proposed project.
- handling ambiguity in developing the proposed work that complements and develops on existing work. There are many possible proposals and the student must work with multiple potential projects to arrive at the final proposal.
2. Responsibility, autonomy, effectiveness:
- independent learning - apprentices will work independently on developing their proposals and linking them to their work context.
- self-awareness and reflection - apprentices will reflect on their working environment and link the proposal to that environment.
- creativity - the proposal will be a creative synergy of the ideas for the project with the work context the apprentice has and will be experiencing.
- organization and time management - the proposal will involve planning and allocation of time and other resources to ensure completion.
- ethical/social/professional awareness and responsibility - the proposal will require taking account of the professional context the apprentice is working in.
3. Communication:
- verbal and/or written communication - the proposal will require a range of writing skills including communication to the non-specialist.
- cross-disciplinary communication - it is likely that the project will have cross-disciplinary aspects because the apprentice will be expected to link to their wider professional development. |
| Keywords | Apprenticeship,proposal,transferrable-skills,planning,risk-analysis |
Contacts
| Course organiser | Dr Ian Stark
Tel: (0131 6)50 5143
Email: Ian.Stark@ed.ac.uk |
Course secretary | Miss Yesica Marco Azorin
Tel: (0131 6)50 5194
Email: ymarcoa@ed.ac.uk |
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