News:
Slides for the first five lectures are now available (see below).
Lecture and lab times and venues
Lecture times:
Please note that not all lecture slots will be used in all weeks.
Course coordinator
Prerequisits
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).
Lecturers
Course Assessments
The assessment for this year's course is as follows:
Course Material
Markus' lectures are based on:
and
Lab material is available from John's MATH3346 lab Web site.
Documentation on Rattle (Graham's lab): rattle.pdf.
Assignments