Stochastic Modeling
Modeling how time-dependent random phenomena can evolve over time is a valuable tool used to analyze processes across a wide range of industries. This course focuses on building a framework to formulate and analyze probabilistic systems to understand potential outcomes and inform decision-making.
Topics Include
- Continuous-time Markov chain
- Discrete-time Markov chain
- Queuing theory
- Renewal processes
Course Page
Price
$4,200.00
Subject to change
Delivery
Online, instructor-led
Level
Introductory
Commitment
10 weeks, 10-20 hrs/week
Credit
Decision Analysis Graduate Certificate
Management Science and Engineering Graduate Certificate
Financial Analytics Graduate Certificate
School
Stanford School of Engineering
Language
English