Lesson 1: Scientific Modeling and Simulation Architecture
Lesson Overview
Develop practical capability in scientific modeling and simulation architecture as part of the Virtual Scientific Simulation Development with MATLAB learning path.
Topics Covered
Simulation objectives, assumptions, boundaries, and fidelity
Variables, parameters, units, and initial conditions
Deterministic and stochastic model concepts
Discrete-time and continuous-time systems
Modular simulation architecture
Experiment design and reproducibility
Practical Activity
Build a guided MATLAB exercise covering simulation objectives, assumptions, boundaries, and fidelity.
Apply variables, parameters, units, and initial conditions to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving experiment design and reproducibility.
Key Takeaways
Explain and apply simulation objectives, assumptions, boundaries, and fidelity.
Use deterministic and stochastic model concepts in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.
