STA5061Z - Bayesian Decision Modelling

15 credits at NQF level 9

Entry Requirements:

Acceptance into Master’s programs in Advanced Analytics, Data Science or Biostatistics subject and/ or statistical background deemed sufficient by the Head of Department.

Course Outline:

This module develops the Bayesian approach to inference and decision making, starting from concepts of subjective probability and subjective expected utility, and moving on to structures of Bayesian modelling for inference, computational solution of such models, and representation of complex learning and decision making processed through Bayesian Networks.