Engineering System Design: Modeling and Simulation

Designing complex engineering systems requires careful validation before physical manufacturing begins. This course teaches you how to create mathematical and logical models to simulate real-world system behavior and optimize your designs. By studying the core methodologies of system simulation, you will transition from theoretical design concepts to analyzing structured, predictive models. Through clear written explanations and practical analytical exercises, you will learn to evaluate system performance, identify potential failures, and apply modern model-based systems engineering principles. What you'll learn: - Understand the fundamental principles of engineering systems and simulation-based design. - Formulate mathematical models to represent physical and mechanical system behaviors. - Apply modeling techniques to simulate dynamic responses and analyze performance. - Analyze simulation data to identify design flaws and optimize system parameters. - Explore modern concepts including digital twin fundamentals and model-based systems engineering. - Practice validating engineering concepts through structured written case studies and exercises. The course starts with foundational definitions of systems and modeling paradigms before guiding you through mathematical formulation, simulation execution, and data-driven optimization. Designed for aspiring engineers, students, and product designers seeking a solid foundation in simulation techniques, this program requires no prior modeling experience. Start building your engineering simulation skills today.