Module Descriptor School of Computer Science and Statistics
|Module Name||Final Year Project|
|Module Short Title||N/a|
|Semester Taught||Entire year|
|Module Personnel||An agreed project supervisor from the lecturing staff.|
On successful completion of this module students will be able to demonstrate a degree of specialization in a particular part of the subject area, including enhanced or new technical skills that build on theory
Demonstrate that they have engaged in research and critical understanding to an advanced level in their chosen area (examined in the project literature review and evaluation).
Demonstrate a practical understanding of how techniques of research and enquiry are used to create and interpret established knowledge.
Address a moderate sized problem and in so doing select and justify an appropriate approach, and follow the approach systematically (recognizing alternatives, selecting and justifying the approach taken at each point in the project)
Demonstrate in the technical execution of the project the required level of analysis, design, and technical skill.
Communicate to both a technical audience in the written report and project demo and to a more general audience in the poster and 2 min poster presentation.
To integrate the theoretical and practical knowledge of the student across all of the years of their study and provide a practical demonstration of their capability in executing a challenging project.
At the beginning of each academic year, students will be notified of the deadlines for project milestones and deliverables.
All Final year project posters will be presented at a showcase event to which external companies, research agencies and individuals will be invited. At this event students shall give a 2 minute presentation of their Project. The quality of their presentation will be marked by the final year examination panel.
|Recommended Reading List|
Arranged with project supervisor
For fourth year BA/ICS students intending to exit at the end of year 4
The project marks are divided as follows:
Supplemental assessment project :100%
|Academic Year of Data||2018/19|