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ELEC 446: Computational InferenceELEC 446 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% Project (ELEC 446 will be internally assessed in 2016) Lectures and Tutorials: There is a 2hour lecture and 1hour tutorial per week Resources:
Links: Module 412 in 2015, BUC5 compute resources, Blockkurs on Markov Chain Monte Carlo for Inverse Problems in PDEs 