The pre-requisites listed in this catalog are those approved by the Curriculum Committee.
For pre-requisite information specific to an individual instance of a course, please see the schedule of classes. Click the Schedule Type to find available offerings of the course on the Schedule of Classes. |
ISYE 6416 - Computational Statistics |
This class describes the available knowledge regarding statistical computing. Topics include random deviates generation, importance sampling, Monte Carlo Markov chain (MCMC), EM algorithms, bootstrapping, model selection criteria, (e.g. C-p, AIC, etc.) splines, wavelets, and Fourier transform.
3.000 Credit hours 3.000 Lecture hours Grade Basis: ALP All Sections for this Course Sch/Industrial & Systems Engr Department |