Lecture
This lecture covers the organization of the course, including lecture and exercise session schedules, online resources, and the course assistant. It introduces course materials, motivating examples, and the G/G/1 queueing model. The lecture delves into simulation methods for queueing models, computational finance topics like insurance risk and option pricing, and computational statistics concepts like the likelihood ratio test. It also explores the Ising model in computational physics and outlines the course contents, exercise sessions, and exam structure.