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Modules

Missing Biological Data Team Challenge

Module code: BIO732P

Credits: 30.0
Semester: SEM2

Contact: Dr James Hansford

In this module, students are organised into small teams (~3-4 members per team). All teams are given the same problem to solve: to accurately reconstruct missing data in a large, complex bioscience data set using machine learning techniques. Each team must design an appropriate ML methodology and implementation plan, with specific tasks assigned to individual team members. The distribution of effort within teams is documented through an in-team peer review mechanism. Each team member will present the team¿s work in a report. Reconstructions will be compared after reports are submitted. Since teams will develop their own quality criteria, there may be several ¿best¿ solutions.

Connected course(s): UDF DATA
Assessment: 70.0% Coursework, 30.0% Practical
Level: 7

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