This course introduces students to the principles of probability, statistics, and simulation as they relate to variability and uncertainty in engineering. Students will explore key topics such as probability distributions, parameter estimation, hypothesis testing, and Monte Carlo simulations. The course emphasizes applying these concepts to real-world engineering decisions, where students will evaluate uncertainties, simulate outcomes, and formulate informed decisions.