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.
Requisites
Prerequisites:
MATH 2028 (Min. Grade: D)
Restrictions:
Cannot be enrolled in one of the following Levels: Undergraduate Semester (US)
Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * (A)
All Instructors
GPA: 3.73Most Common: A (64.0%)
This total includes data from semesters with unknown instructors