Modeling with Uncertainty and Data 1

Modeling with Uncertainty and Data 1
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.
MATH
402
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesMATH 322 & MATH 346; concurrent enrollment in Math 403.
 TaughtFall
 ProgramsContaining MATH 402
Course Outcomes

Probability and Statistics 1

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.