Module 412: Computational Inference (in years 2014 and 2015)

Module 412 develops Computational Inference: Bayesian inference for uncertainty quantification, stochastic modelling and MCMC sampling, advanced Monte Carlo strategies, imaging and machine vision.

Semester: 2

Recommended Preparation: Inverse Problems and Imaging module

Lecturer: Colin Fox. Room 503. Ph 4797806. 'at'

Assessment: 30% assignments, 70% Exam