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Spring 2024
May 20, 2024
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Information 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


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Release: 8.7.2.4GT