Classes
Lectures begin in Week 1. SGTA begin in Week 2.
Students must attend two hours of lectures and two hours of SGTA per week. The lecture notes will be made available on iLearn before the lecture.
SGTA exercises will be set weekly and will be available on iLearn before each class.
The timetable for classes can be found at http://www.timetables.mq.edu.au
iLearn
All unit related materials including lecture notes, SGTA's and instructions for assessment tasks and administrative updates, will be published on iLearn at
https://ilearn.mq.edu.au/login/
Software
The statistical software R will be used. This is a free software environment for statistical computing and graphics and can be downloaded from the website
http://www.r-project.org/
Texts and materials:
There is no required textbook for this unit.
Recommended reference sources:
- W. P. Krijnen Applied Statistics for Bioinformatics using R, 2009: http://cran.r-project.org/doc/contrib/Krijnen-IntroBioInfStatistics.pdf
- S. Draghici Statistics and Data Analysis for Microarrays Using R and Bioconductor. Chapman & Hall/CRC Mathematical and Computational Biology, 2nd Edition, 2012
- W. J. Ewens and G. R. Grant. Statistical Methods in Bioinformatics, an Introduction. Springer, 2000
- K. Lange. Mathematical and Statistical Methods for Genetic Analysis, Statistics for Biology and Health. Springer, 2002