Statistical computing techniques, pseudo-random number generation, tests for randomness, numerical algorithms in statistics; optimization techniques; environments for data analysis, efficient programming techniques; statistics with mainstream software. Prerequisite(s): STAT 3553 or STAT 3503 or permission of the School.Lectures three hours a week, laboratory one hour a week.