The aim of this module is to encourage students to develop the necessary knowledge and skills in core and advanced bioinformatics analyses to prepare students for bioinformatics related careers, either inside or outside an academic setting. Aligned to emerging advances in the bioinformatics field, the student will: (i) gain experience of core e.g., high-performance computing (HPC) and advanced e.g., artificial intelligence (AI) and machine learning (ML) applied bioinformatics techniques, with examples drawn from widely used genomic and protein data and thus, develop a solid grounding in practical bioinformatics work; (ii) develop the necessary soft skills to effectively communicate, problem manage, and critically evaluate scientific hypotheses and (iii) acquire the necessary knowledge and technical skills, under the personal guidance of a research project supervisor to deliver an original piece of bioinformatics research.
The module will be delivered through a combination of cutting-edge lectures, tutorials, and workshops. The topics covered will be introduced with a lecture, critically discussed in tutorials, and then be applied to real-world practical data sets in hands-on workshops. The students all round technical and soft skills will be nurtured via three coursework assessments, including a presentation, a scientific report, and a poster.