Statistical Computing I Credit Hours: 3 hours Tools and methods of statistical computing beginning with mathematical and computational underpinnings of statistical computation and progressing through Monte Carlo simulation, numerical linear algebra, optimization, numerical differentiation and integration, and simulation-based statistical algorithms. Students will learn methods, theory, and implementation via existing functions and their own code. Prerequisites: (STAT 4510/6510 or STAT 6810) and STAT 6420 Semester Offered: Fall Level: Graduate