Obesity is a worldwide health problem driven by a complex intersection between genetics and the environment. This interdisciplinary unit of study aims to explore recent advances in 'omics' technology and big data analysis. The focus will be on how to tackle highly complex questions such as why some individuals become obese and others don't. The problem will be presented from a range of scientific points of view so that students will be able to understand the contextual nature of bringing multiple disciplines to bear on a really important biological problem. Students will be provided a research training opportunity to contribute to our understanding of the relevant problems of over-nutrition in our society. Collaborative research is supported by lectures and tutorials on nutrition science, 'big data' management strategies and approaches to data analysis.
Two lectures, one tutorial, 3-hour practical per week on average
One 1.5-hour exam (40%), 1000w essay (20%), data exercises (10%), research project (30%, includes multimedia group work (10%), presentation group work (10%), 500w student reflection (5%), mentor assessment (5%)
BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit.
PHSI2X0X and (MATH1XX5 or ATHK1001)
[6cp from (BCHM2X72 or BCMB2X01) and 6cp from (BCHM2X71 or BCMB2X02 or DATA2002 or GEGE2X01 or MBLG2X7X or BIOL2XXX or PHSI2X0X)] OR (BMED2401 and BMED2405)Prohibitions