The Course Handbook, which includes the teaching schedule, is available here
The aim of Semester 1 is to provide students with a thorough understanding of general concepts in evolutionary, population and quantitative genetics and the statistical methodologies that underpin these disciplines.
Three compulsory courses are taken:
Population and Quantitative Genetics This course covers quantitative genetic studies of variation, molecular methods in evolutionary biology, finite populations, prediction of response to selection, inbreeding and genetic contribution theory to provide students with a comprehensive foundation for subsequent courses. Teaching is through lectures, seminars and tutorials.
Genetic Interpretation This course uses weekly tutorials and discussion sessions to extend and consolidate the material learned in the Population and Quantitative Genetics unit. The tutorials focus on genetics problems in natural and selected populations, with students completing derivations and numerical calculations ahead of each session. The discussions focus on recent key scientific papers on relevant topics, with students preparing written critiques of selected papers and contributing to the general analysis of the issues raised.
Statistics and Data Analysis This course covers the techniques in statistics and data analysis that are integral to genetics research, including probability and distribution theory, regression, correlation, ANOVA and variance component estimation using REML. Teaching is through lectures and computer-based practicals.