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MATH 158: Probability and Stochastic Differential Equations for Applications (CME 298)

Calculus of random variables and their distributions with applications. Review of limit theorems of probability and their application to statistical estimation and basic Monte Carlo methods. Introduction to Markov chains, random walks, Brownian motion and basic stochastic differential equations with some applications in science and/or engineering. Prerequisites: Math 53 and introductory probability (such as Stats 116 or Math 151).
Terms: Spr | Units: 4 | UG Reqs: WAY-FR
Instructors: Adhikari, A. (PI)
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