Modelling and Simulation (2 Units; Elective; L = 15; P = 45)
Course Outline
Introduction to modeling and simulation. Types of simulation software. Principles of modeling and simulation. Formulating mathematical models. Designing simulations. Analyzing and interpreting simulation results. Applications of modeling and simulation in decision-making, risk analysis, and optimization. Importance of validation and verification in modeling and simulation. Overview of system dynamics modeling. Discrete event simulation. Agent-based modeling. Monte Carlo simulation. Sensitivity analysis. Design of experiments. Model optimization. Applications of modeling and simulation in various fields such as engineering, economics, and biology. Hands-on experience using simulation software tools.
- Teacher: LMS Admin