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.
|Prerequisite(s):||At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.|
|Internal assessment / examination:||50:50|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|20B (HAM)||B Trimester : 13 Jul 2020 - 8 Nov 2020||Hamilton|
Timetabled Lectures for Bayesian Statistics (STATS226)
|Mon||11:00 AM||1:00 PM||MSB.1.03||Jul 13 - Oct 18|
|Wed||10:00 AM||11:00 AM||K.G.01||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)
The following 2019 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2020 outlines.
Paper details current as of : 20 March 2020 8:55am
Indicative fees current as of : 31 January 2020 4:26pm