MATH 402
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Modeling with Uncertainty and Data 1
MathematicsCollege of Computational, Mathematical, & Physical Sciences
Course Description
Theory of probability and stochastic processes, emphasizing topics used in applications. Random spaces and variables, probability distributions, limit theorems, martingales, diffusion, Markov, Poisson and queuing processes, renewal theory, and information theory.
When Taught
Fall and Winter
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Prerequisite
Complete ALL of the following Courses:
- 12183-001
AND 12187-001
AND 12184-001
Other Prerequisites
concurrent enrollment in Math 403.
Title
Probability and Statistics 1
Learning Outcome
Theory of probability and stochastic processes, emphasizing topics used in applications. Random spaces and variables, probability distributions, limit theorems, martingales, diffusion, Markov, Poisson and queuing processes, renewal theory, and information theory. For detailed information about the desired learning outcomes visit the Math 402 Wiki page.
