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|APMA 1690 - Computational Probability and Statistics|
Examination of probability theory and mathematical statistics from the perspective of computing. Topics selected from random number generation, Monte Carlo methods, limit theorems, stochastic dependence, Bayesian networks, dimensionality reduction. Prerequistes: A calculus-based course in probability or statistics (e.g. APMA1650 or MATH1610) is required, and some programming experience is strongly recommended.
Prerequisite: MATH 0100, 0170, 0180, 0190, 0200, or 0350, or equivalent placement.
1.000 Credit hours
1.000 Lecture hours
Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting
Applied Mathematics Department