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MATH 309

Probability with Applications and Simulations

3 Credits

Foundations of Probability; Random Variables; Probability Models; Expectations and Moment Generating Functions; Joint and Conditional Distributions; Functions of Random Variables. Introduction to fundamental ideas and techniques of stochastic modeling, with an emphasis on the applications. The last part of the course is devoted to techniques and methods of Monte Carlo simulation. R or other software will be used in this course. Prerequisites: MATH 022 or MATH 032 or MATH 052 or MATH 082 Attribute/Distribution: Q

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