COMP3591: PROJECT PREPARATION

• 80 credits of Computer Science modules from Level 1 and Level 2 (with a minimum of 40 credits at Level 2) OR 60 credits of Level 2 Computer Science modules

• None

• To prepare students for their 4th year project
• To assist in choosing a topic, identifying a potential supervisor, assigning a project, and finally in writing a research proposal
• To create a proposal that will lead directly to the project work to be undertaken in the 4th year and will include narrowing the scope of the research problem, a literature review, and planning the project methodology
• To prepare students for the presentation of complex subjects before their peers and in turn provide critical feedback

• Research design and ethics, data analysis, types of research, critiquing the academic literature, reproducible research
• Communication: academic writing, presentation of complex research and results, presentation skills
• Research methods, qualitative, quantitative, mixed methods, interviews, observation, questionnaires, hypothesis testing
• Data analysis and statistical tests

Subject-specific Knowledge:

• An understanding of the state of the art in the student's chosen area of specialisation
• An in-depth knowledge and understanding of the student's chosen area of specialisation
• An understanding of research methods required in conducting a research based project

Subject-specific Skills:

• To be able to critically review and analyse the current literature relevant to the research problem
• To be able to design an appropriate research methodology for a given problem and in doing so evaluate the strengths and weakness of the qualitative and quantitative research methods to be used
• To be able to engage in a peer review process that involves the critical review of proposals
• To be able to assess professional, legal, social and ethical issues relating to research and project work
• To be able to present properly referenced documents, with citations, references and bibliographies
• To be able to exercise critical self-evaluation

Key Skills:

• The effective communication of general and specialised Computing Science concepts (written, verbal, presentational)
• The ability to offer an informed critique of a problem and solution
• Advanced problem solving skills

• Lectures enable the students to learn new material relevant to the topic of Research Methods and how this can be applied to a project
• Practical classes enable the students to put into practice learning from lectures and strengthen their understanding through application
• Formative and summative assessments assess the application of methods and techniques
• The research proposal created will be written up in the form of the scientific report, and this report will be presented at a Module Symposium which will allow for peer feedback and formative critiquing

Example formative exercises are given during the course. Additional revision lectures may be arranged in the module's lecture slots in the 3rd term

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