Bayesian Statistics - STATS226 (2020)

This paper introduces statistical methods from a Bayesian perspective, which gives a coherent approach to the problem of revising beliefs given relevant data. It is particularly relevant for data analytics, statistics, mathematics and computer science.

Paper Information

Points:	15.0
Prerequisite(s):	At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.
Internal assessment / examination:	100:0
Restriction(s):	STAT226

Trimesters and Locations

Occurrence Code	When taught	Where taught
20B (HAM)	B Trimester : 13 Jul 2020 - 8 Nov 2020	Hamilton

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Timetabled Lectures for Bayesian Statistics (STATS226)

Day	Start	End	Room	Dates
Mon	11:00 AM	1:00 PM	K.G.01	Jul 13 - Oct 18
Wed	10:00 AM	11:00 AM	I.1.09	Jul 13 - Oct 18

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STATS226 for more details

Indicative Fees for Bayesian Statistics (STATS226)

You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
Occurrence	Domestic		International
	Tuition	Resource
20B (HAM)	$780	$0	$3145

Paper Outlines for Bayesian Statistics (STATS226)

The following paper outlines are available for Bayesian Statistics (STATS226).
If your paper occurrence is not listed contact the Faculty or School office.