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. Includes: Experiential Learning Activity Prerequisite(s): STAT 3553 or STAT 3503 or permission of the School. Lectures three hours a week, laboratory one hour a week. [0.5 credits]
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. Includes: Experiential Learning Activity Prerequisite(s): STAT 3553 or STAT 3503 or permission of the School. Lectures three hours a week, laboratory one hour a week. [0.5 credits]
