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STAT 417. Applied Probability and Simulation

Credits: 3
Department: Statistics
Description: Probability distributions and random variables, simulation of random variates, probability modeling, applications to Markov chains, queueing models, reliability and survival; use of software.
Prerequisites: MATH 211 or MATH 221, and one programming course
Semester Offered: Spring
Grading Method: ABCDF

Student Learning Outcomes

1. Distinguish between different discrete and continuous probability models.
2. Represent stochastic applications with probability models.
3. Write computer algorithms to simulate stochastic events.

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