Computational methods for Statistics will be discussed for topics that include numerical linear algebra, optimization, bootstrapping, numerical integration, monte carlo simulation, markov chain monte carlo simulation, and predictive data mining. The course prerequisites are MATH/STAT 4265/5265 and at least one of STAT 4015/5015, STAT 4025/5025, or STAT 4045/5045.