ABOUT THE COURSE
This course explanations and expositions of stochastic processes concepts which they need for their experiments and research. It also covers theoretical concepts pertaining to handling various stochastic modeling. This course provides classification and properties of stochastic processes, discrete and continuous time Markov chains, simple Markovian queueing models, applications of CTMC, martingales, Brownian motion, renewal processes, branching processes, stationary and autoregressive processes.
Under-graduate, Post-graduate and PhD students of mathematics, electrical engineering, computer engineering
A basic course on Probability
INDUSTRIES THAT WILL RECOGNIZE THIS COURSE
Goldman Sachs, FinMachenics, Deutsche Bank and other finance companies.