MATH3821 is a Mathematics Level III course. See the course overview below.
Units of credit: 6
Prerequisites: MATH2831 or MATH2931
Cycle of offering: Term 2
Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.
More information: This recent course handout (pdf) contains information about course objectives, assessment, course materials and the syllabus.
The Online Handbook entry contains up-to-date timetabling information.
If you are currently enrolled in MATH3821, you can log into UNSW Moodle for this course.
The aim of MATH3821 is that at the end of session students should understand the concepts and techniques involved in the syllabus and be able to apply those concepts and techniques to the solution of appropriate problems. The R package will allow them to solve problems computationally.
Introduction to flexible and modern approaches to statistical modelling and statistical computing. Theory, applications and computation for linear models, generalised linear models, the Bayesian linear model, nonparametric regression using kernel smoothers and smoothing splines, nonparametric density estimation and bandwidth selection. Applications of simulation in statistical inference including Monte Carlo simulation, bootstrap methods, and Markov chain Monte Carlo. Statistical packages include R or Splus.