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: 50:50
Restriction(s): STAT226

Semesters and Locations

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

Timetabled Lectures for Bayesian Statistics (STATS226)

DayStartEndRoomDates
Mon11:00 AM1:00 PMMSB.1.03Jul 13 - Oct 18
Wed10:00 AM11:00 AMK.G.01Jul 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)

Occurrence Domestic International
 Tuition Resource 
20B (HAM) $780 $0 $3145
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.

Paper Outlines

The following 2019 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Data Analytics | Mathematics | Statistics

Other available years: Bayesian Statistics - STATS226 (2019) , Bayesian Statistics - STATS226 (2018)

Paper details current as of : 13 December 2019 11:34am
Indicative fees current as of : 12 November 2019 11:10am

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