CH ENGR 222A
Stochastic Modeling and Simulation of Chemical Processes
Chemical Engineering · 4 units · Graduate courses (200-299)
Introduction, definition, rationale of stochastic processes. Distribution, moments, correlation. Mean square calculus. Wiener process, white noise, Poisson process. Generalized functions. Linear systems with stochastic inputs, ergodicity. Application to chemical process modeling and simulation. Markov chains and processes. Ito integrals, stochastic difference, and differential equations.
S/U or letter grading.
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Requisites
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CH ENGR 222A
- CH ENGR 222BStochastic Optimization and Control
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.





