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May 14, 2025
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College Catalog 2022-2023 [ARCHIVED CATALOG]
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MATH 298 - Modeling and Simulation in R
Complex systems like the stock market, communications networks, and healthcare systems are usually subject to randomness. This course introduces techniques for modeling random processes and simulating them using the R programming language. Topics include pseudo-random number generation, simulating discrete random variables, the acceptance-rejection method for generating continuous random variables, introduction to Poisson processes and queueing systems.
Prerequisites
MATH 101 , MATH 151 or COMP 115
Credits 1
Area
Math and Computer Science
Compass Attributes
Quantitative Analysis
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