Provide the student with fundamental knowledge about likelihood and Bayesian approaches to solve quantitative problems in animal breeding

Probability, Statistical distributions and variables, use of matrices in statistics, Maximum likelihood and Bayesian statistics, Markov Chain Monte Carlo, linear mixed models, Metropolis Hasting and Robust models