Simulation is an effective and popular tool that can be applied to almost all scientific disciplines. This course introduces the practical aspects and principles of constructing computerized simulation studies to analyze and interpret real-world systems and phenomena. It is mainly designed for engineering and computer science students who are interested in research problems in computing technology. Specific emphases are put on (i) stochastic simulation approaches, i.e., computer simulation driven by random numbers; and (ii) statistical analysis of the output studies, including analysis of simulated data and validation of simulation model. It should be noted that programming is not the focus of this course - it may be used in some exercises. However, students may be asked to express explicit steps of an algorithm when solving a problem.