Description: A course in applied statistical computing using popular statistical software such as R or SAS. The primary objective of this course is to strengthen students' applied statistics skills and statistical problem solving abilities. At the end of the course they should be able to identify suitable statistical methodologies for different situations and critically evaluate the appropriateness of model assumptions.

Term: F/G

Prerequisite(s): SS2858A/B A minimum mark of 60% in Statistical Sciences 2858A/B.

Antirequisite(s): The former Statistical Sciences 3814A/B.

Extra Information: 2 lecture hours, 1 laboratory hours, 0.5 course.

Course	Instructor(s)	Outline	Term	School Year
SS3850G001	Jiandong Ren		G	2016/2017
SS3850G001	Duncan Murdoch		G	2015/2016
SS3850G001	Wenkai Ma		G	2014/2015
SS3850G001	Duncan Murdoch		G	2013/2014
SS3850G001	W.John Braun		G	2012/2013
SS3850G001	W.John Braun		G	2011/2012