This course provides an in-depth exploration of random number generation, sampling techniques, and simulation methods using Julia. Participants will learn how to generate random numbers from various distributions, perform statistical sampling, and design simulations to model real-world processes. The course combines theoretical concepts with practical implementation in Julia, making it suitable for students, researchers, and professionals in fields such as data science, statistics, and engineering.