CSC8638 : Diploma Project and Dissertation in Data Science
- Offered for Year: 2022/23
- Module Leader(s): Dr Matthew Forshaw
- Owning School: Computing
- Teaching Location: Newcastle City Campus
Semesters
| Semester 2 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
Aims
The individual project is a substantial piece of independent work involving the technical and research skills developed in the taught part of the degree. You will have the opportunity to contribute directly to research or development activities, develop your own specialist expertise in the project topic, and further improve your planning and communication skills. You will work closely with one of the School's research groups, and you may also be working with an industrial partner.
Specifically, the module aims to equip students with the following knowledge and skills:
• To deepen the knowledge and skills acquired in the programme through practice
• To develop an awareness of the range and limitations of technologies available
• To enhance research skills and awareness of the professional literature
• To develop an awareness of the open problems in Data Science
Outline Of Syllabus
Students will either select a project from a list offered by potential supervisors or propose and refine a project proposal with an academic supervisor. Projects will involve learning about some unfamiliar aspect of Data Science. In every project there will be a research component and a strong design, programming and/or analytic element.
1. Project Definition and Planning:
a. Bounding and clarifying a problem for research.
b. Background research; identifying and critically analysing relevant literature and information sources.
c. Decomposing a problem and forming a project outline in terms of goals and criteria for success. Identifying resources and tooling required.
2. Supervision: Each project has a lead supervisor and second supervisor, both staff from the School. Additional supervision support may be provided by an industrial partner. The student and lead supervisor will meet regularly throughout the period of the project.
3. Research: Background research will be undertaken in the selected topic using the skills developed in earlier modules with access to the library and online resources. The supervisor will advise on quality of sources and standards in the topic area.
4. Development and Analytic Skills: The core of the project will involve carrying out the project plan largely independently, but with guidance from the supervisors.
5. Dissertation: A dissertation will be prepared, describing the technical background, the work undertaken, the analysis of results and directions for further work. Guidance on the style and content of an academic dissertation will be provided by means of lectures and through the supervisor.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 0:30 | 0:30 | Oral Examination |
| Scheduled Learning And Teaching Activities | Lecture | 2 | 1:00 | 2:00 | Lectures present in person |
| Guided Independent Study | Assessment preparation and completion | 3 | 1:00 | 3:00 | Ethics form |
| Guided Independent Study | Assessment preparation and completion | 60 | 1:00 | 60:00 | Dissertation writing |
| Guided Independent Study | Assessment preparation and completion | 5 | 0:30 | 2:30 | Preparation for Oral Examination |
| Guided Independent Study | Project work | 114 | 1:00 | 114:00 | technical project work |
| Scheduled Learning And Teaching Activities | Dissertation/project related supervision | 4 | 1:00 | 4:00 | Individual supervisor meetings PIP or synchronous online |
| Guided Independent Study | Independent study | 14 | 1:00 | 14:00 | Background Research |
| Total | 200:00 |
Jointly Taught With
| Code | Title |
|---|---|
| CSC8639 | Project and Dissertation in Data Science |
Teaching Rationale And Relationship
The project is undertaken with a lead academic supervisor, working in association with one of the research groups of the School or with a collaborating industrial research laboratory (in which case it will be supervised jointly). There will be a designated second academic supervisor to offer additional assistance.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Dissertation | 2 | M | 100 | Word count: up to 10,000 words |
Zero Weighted Pass/Fail Assessments
| Description | When Set | Comment |
|---|---|---|
| Prof skill assessmnt | M | Ethics Form |
| Oral Examination | M | A structured discussion including a demonstration of the software artefact and a reflection on the key areas of personal development |
Assessment Rationale And Relationship
The dissertation provides for an assessment of professional skills in research and development, analysis, and detailed technical communication.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CSC8638's Timetable