This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy. 
The book covers:

[*]          Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
[*]          Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
[*]          Limit theorems and convergence
[*]          Introduction to Bayesian and classical statistics
[*]          Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
[*]          Simulation using MATLAB and R (online chapters)     

The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applications-such as engineering, finance, everyday life, etc.-are included to aid in motivating the subject. The digital version of the book, as well as additional materials such as videos, is available at wwwprobabilitycourse.com.

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