Informal Introduction to Stochastic Processes with Maple Contents Preface Finite Markov Chains Finite Markov Chains II Branching Processes Renewal Theory Poisson Process Birth and Death Processes I Birth and Death Processes II Continuous Time Markov Chains Brownian Motion Autoregressive Models Basic Probability Review Maple Programming References. The book presents an introduction to Stochastic Processes including Markov Chains Birth and Death processes Brownian motion and Autoregressive models. The emphasis is on simplifying both the underlying mathematics and the conceptual understanding of random processes. In particular non trivial computations are delegated to a computer algebra system specifically Maple (although other systems can be easily substituted). Moreover great care is taken to properly introduce the required mathematical tools (such as difference equations and generating functions) so that even students with only a basic mathematical background will find the book self contained. Many detailed examples are given throughout the text to facilitate and reinforce learning. Jan Vrbik has been a Professor of Mathematics and Statistics at Brock University in St Catharines Ontario Canada since 1982. Paul Vrbik is currently a PhD candidate in Computer Science at the University of Western Ontario in London Ontario Canada.