MATLAB Input Validation for Numerical Methods in Engineering

Writing reliable numerical simulation code in engineering requires more than just correct mathematics; it demands robust input validation to prevent silent failures and calculation errors. This text-only course teaches you how to design and implement rigorous logical checks and assertions in MATLAB to ensure your engineering scripts run predictably. You will transition from writing fragile scripts to developing professional-grade, self-validating MATLAB functions that catch input errors before they corrupt your simulation results. What you'll learn: - Understand the core concepts of defensive programming and input validation in engineering computations. - Implement logical checks to assert that input variables are scalar numbers, vectors, or specific data types. - Master the modern MATLAB argument validation syntax to write clean and self-documenting function signatures. - Design custom error messages and assertion flags to simplify debugging in complex chemical engineering models. - Apply robust validation patterns to numerical solvers, ensuring physical constraints like non-negative concentrations are met. - Practice writing unit tests and validation routines to verify the integrity of your numerical algorithms. The course begins with the foundational principles of defensive programming and MATLAB data types, then guides you step-by-step through creating custom assertion functions, and concludes with practical validation strategies for chemical engineering simulations. Designed specifically for beginners, this course requires no prior advanced programming experience. Start building safer, more reliable engineering simulations today.