This course will introduce the definitions, theories and applications of different stochastic processes. Topics include Markov chains, Poisson processes, renewal processes, continuous time Markov chains and Martingales.
Prerequisites: Bachelor's degree in mathematics, mathematics education, statistics or related field. Note: Graduate admission status required. Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.
August 19, 2018
- Understand the stochastic processes in the areas of biology, ecology, finance and engineering
- Calculate probabilities related to the stochastic processes
- Construct stochastic models using the stochastic processes