Discret Event System Simulation

This course introduces the fundamental concepts, methodologies, and applications of discrete-event system simulation. Students learn how to model, analyze, and evaluate systems in which changes occur at discrete points in time. The course covers topics such as system modeling, random number and random variable generation, input data analysis, model validation and verification, and output data analysis. Emphasis is placed on the design and implementation of simulation experiments to support decision-making and performance evaluation in various domains such as manufacturing, computer networks, logistics, and service systems.

Through practical assignments and projects, students will gain hands-on experience using simulation software and programming tools to build and analyze models of real-world systems.