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Aims:

This module aims to prepare students for their final project/ dissertation. Students will put into context their final project into context and develop an understanding of the rationale behind the numerous experimental studies in the literature. Ethical considerations and implications of using ML and AI for application in Biomedicine & Healthcare and Sustainable Development will be covered during this module.

At the end of the module, students will be expected to apply their understanding of methodology to critique existing research, design their own research, carry out their own analysis and communicate clearly with academic specialists and non-specialists.

Intended learning outcomes:

On successful completion of the module, a student will be able to:Ìý

1. Assimilate and demonstrate understanding of basic research methods which will be applied during the project/ dissertation.

2. Exhibit knowledge regarding state-of-the-art AI algorithms and approaches related to the project/ dissertation.

3. Demonstrate familiarity with the datasets to be used during the project/ dissertation.

Indicative content:

The following are indicative of the topics the module will typically cover:

• Research Methods, Ethical and Regulatory Considerations.
• Scope and place their final-term projects in the literature.
• Project dataset gathering and curation.

Requisites:

To be eligible to select this module as an optional or elective, a student must be registered on a programme and year of study for which it is formally available.