- Schedule of Classes - November 15, 2018 7:14PM EST
- Course Catalog - November 15, 2018 7:15PM EST
Course information provided by the Courses of Study 2018-2019.
Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization and finding zeros (likelihood and related techniques), random number generation and Monte Carlo methods, bootstrap and subsampling, dimension reduction, nonlinear predictive modeling and parallel computing. Programming will be done in R.
When Offered Spring.
Prerequisites/Corequisites Corequisite: ORIE 6700 or MATH 6730 (or equivalent) and at least one course in probability, or permission of instructor.
Combined with: STSCI 6520
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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