<meta http-equiv="refresh" content="0; URL=noscript.html"> METU | Course Syllabus

Course Learning Outcomes

The students learn the major differences between the frequentist and bayesian approaches and the fundamental inference methods in bayesian framework. Furthermore, they learn iterative Monte Carlo algorithms which are based on the bayes theoem.