Engineering Thinking and Simulation Modeling with AnyLogic

Modern decision-making relies on understanding complex, interconnected systems. Learning how to model these systems builds structured engineering thinking and helps evaluate real-world scenarios risk-free. This text-based course guides you through core concepts of simulation modeling using AnyLogic. You will learn to break down multi-faceted problems, establish logical rules, and evaluate dynamic outcomes using discrete-event, agent-based, and system dynamics approaches. What you'll learn: Learn essential terminology and foundational principles of simulation modeling; Apply discrete-event, agent-based, and system dynamics paradigms in AnyLogic; Design structured flowcharts and state charts to represent real-world operational processes; Analyze simulation outputs to guide data-driven decision-making; Explore modern trends, including connecting AI concepts with simulation models for predictive analytics; Practice constructing foundational models through step-by-step written guides and exercises. The material begins with fundamental concepts of systems thinking and model architecture before moving into practical logic building. As you progress, you will read through clear explanations and structured logic snippets to create practical simulation scenarios. This course is ideal for beginners, analysts, and engineers looking to build rational systems thinking, with no prior simulation experience required. Start reading today to transform complex real-world challenges into structured, actionable simulation models.