Simulink and MATLAB for System Modeling and Simulation

Engineers and researchers often need to model complex physical systems without writing thousands of lines of code. Understanding how to use block-based simulation environments is essential for modern technical problem-solving in any quantitative field. This course guides you through the process of building, simulating, and analyzing dynamic systems. You will transition from understanding basic block diagrams to constructing sophisticated models of mechanical and electrical systems while learning how to use modern AI assistants to troubleshoot and optimize your scripts. What you'll learn: - Understand the core principles of block-based modeling and simulation environments. - Build functional models for mechanical, electrical, and electromechanical systems. - Apply Simscape components to represent physical domains and real-world constraints. - Practice using AI-driven prompts to generate scripts and debug complex models. - Analyze simulation results to predict system behavior under various conditions. - Configure model parameters and solvers to ensure simulation accuracy and performance. The material begins with foundational definitions of signals, blocks, and solvers before progressing to multi-domain physical modeling. You will work through written explanations and logic-based exercises that simulate real-world engineering challenges. This course is designed for beginners, students, and professionals new to simulation software; no prior experience with modeling tools is required. Start your journey into the world of system simulation today.