Modules

Module 412: Computational Inference

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. colin.fox 'at' otago.ac.nz

Assessment: 30% assignments, 70% Exam


Resources:

Links:

Department of Physics 400-level information