MATH 402
Modeling with Uncertainty and Data 1
Mathematics
College of Physical and Mathematical 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
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
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.
