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 societal, biological and evolutionary perspectives to increase breadth of knowledge on the problem of obesity. You 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, systems thinking and data coding and analysis to deepen data literacy and enhance interdisciplinary communication and collaboration.
lectures 2hrs/week; tutorial 1hr/week; practical 2hr/week
One 1.5hr exam (30%), 1000w essay (10%), data visualisation exercises (10%), research project 50% (multimedia group work (20%), presentation group work (15%), 500w student re?ection (5%), mentor assessment (5%), report (5%))
PHSI2X0X and (MATH1XX5 or ATHK1001)
[(BCHM2X72 or BCMB2X01 or MEDS2003) and (BCHM2X71 or BCMB2X02 or DATA2002 or GEGE2X01 or MBLG2X7X or BIOL2XXX or PHSI2X0X or MEDS2001)] or (BMED2401 and BMED2405)Prohibitions
NUTM3004 or NUTM3002