Slides for the first five lectures are now available (see below).
Lecture and lab times and venues
Please note that not all lecture slots will be used in all weeks.
We don't actually have formal prerequisites. We assume that participants have basic computing, statistical and mathematical skills with honours level expertise in either of these areas. Our intended audience are honours and graduate students in these areas. We intend to look at both mathematical (algorithm) and computing issues.
In the course we will analyse algorithms, do some coding and look at efficiency issues, and also do some hands on data analysis (data mining).
The assessment for this year's course is as follows:
Markus' lectures are based on:
Lab material is available from John's MATH3346 lab Web site.
Documentation on Rattle (Graham's lab): rattle.pdf.