The Simulation and Risk Analysis course introduces students to technologies and practices for simulation used to model complex systems. It covers modeling and risk assessment approaches with a focus on continuous and discrete event simulation. There will be a review of fundamentals on discrete and continuous systems modeling. The topics on statistical input and output data analysis, systems modeling using a simulation software, verification and validation issues will be covered as well. More advanced topics like Markov chain and time series using simulation will be discussed by case studies. Examples will be introduced from real applications. Throughout the course, Microsoft Excel and Simul 8 will be used as the main simulation tools.