Biomedical Informatics 4
This module has both lectures and practicals that enable the students to touch homework for me and feel real biomedical informatics research. Its contents cover data acquisition, data formatting, descriptive statistics, data mining, association rule mining and data visualisation. It will also cover advanced topic in data science, including big data and machine learning. The lecures will be taught using Python. Students taking this course will learn the hypothesis-driven and data-drive paradigms of biomedical research, and acquire the capability to develop scientifically sound research plans in biomedical informatics.
Practical Bioinformatics in Biological/Medical Research
Students will complete this module by carrying out scientific research in a self-chosen research laboratory. Students will improve their biomedical informatics knowledge and skills through practice, and develop a first-hand impression and understanding of important biomedical problems.
Biomedical Informatics Project
Student will complete this module by carrying out scientific research in a self-chosen research laboratory and summit a dissertation and present work in oral form.
Biomedical Informatics Project Preview Dissertation
This course will develop the core background in preparation for the project and develop skills in written presentation for disseration.
Biomedical Informatics Portfolio
Students will prepare a portfolio of BMI work based on a interest from preceding years.
Biomedical Informatics Elective
Students will choose an optional elective from a range of Honours electives. The focus and context of the electives will be developed from the specific research interests of leading Biomedical Informatics researchers from ZJU, ZJE and UoE contributing to the programme. The exact focus, content and format of each elective will be developed as appropriate but will follow the overall design of Senior Honours electives within the BMTO portfolio at UoE.