Objective: Get a brief overview of how Simulink models can be used in a traditional design process. Discuss where the material covered in this course fits into that process.

Objective: Link a Simulink model to system requirements, illustrate data flow, and define system interfaces.

• Component stubs
• Requirements linking
• Component interfaces
• Bus objects

Objective: Discuss the pros and cons of the different features used for organizing a Simulink model into separate components.

• System component considerations
• Virtual subsystems
• Atomic subsystems
• Model references
• Libraries
• Component variants

Objective: Discuss how to effectively organize a project (containing models, data, documentation, etc.) and perform configuration management tasks.

• Project setup
• File shortcuts and labels
• File dependencies and impact
• Referenced projects
• Source control integration
• File differences

Objective: Explore the data dependencies of a Simulink model and learn best practices for managing a Simulink model's data.

• Workspace precedence
• Parameter management
• Saving and loading data
• Data dictionaries

Objective: Control signals, parameters, and data types to affect the behavior of code generated from Simulink models.

• Signals and parameters
• Simulink data objects
• Parameter tunability
• Data types in Simulink

Objective: Explore how to set up and enforce modeling standards, check for common modeling errors, and optimize model performance.

• Modeling standards
• Model Advisor
• Reporting results
• Additional Simulink advisors
• Templates

Objective: Discuss the methods of automatically creating reports and documentation from Simulink models.

• Web views
• Standard reports
• Custom reports