MATH5905 is a Mathematics Level V course. See the course overview below.

Units of credit: 6

Prerequisites: Math2801 or Math2901 or equivalent

Cycle of offering: once each year

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. (This pdf will usually be updated by the end of the first week of the session.)

The Online Handbook entry contains up-to-date timetabling information.

This course provides a theoretical foundation for statistical inference by starting from first principles of probability theory and then developing the central core of inference: estimation (point and interval) and hypothesis testing.

Each topic is divided into two parts, namely into methods for finding appropriate statistical techniques, and methods for evaluating these techniques. Emphasis is put on frequentist and Bayesian approaches. The methods are applied to modelling situations and to real problems.