The purpose of this course is to expose students to principles and applications of Stochastic Processes, by building upon the concepts introduced in a previously-taken basic probability course. In the first half of this course, topics including Bernoulli and Poisson processes, discrete and continuous-time Markov chains, renewal process and their applications are covered. This is followed by other topics such as queuing theory and its applications, stochastic dynamic programming and random walks. Upon completion of this course, the students have an appreciation of analytical models as well as applications of Stochastic Processes. (Knowledge of Calculus, Basic Probability and Statistics is recommended)