Course Content

This page lists all the topics to be covered throughout the semester.

Table of contents

• Wk 01. Course Overview
• Wk 01. Models in Science
• Wk 02. Verification and Validation Fundamentals
• Wk 03. NO CLASS
• Wk 04. Statistics and Visualization Techniques for Verification and Validation
• Wk 05. Runtime Verification
• Wk 06. Computational Techniques to Support Simulation Model Validation
• Wk 07. Verification and Validation of Agent-Based Models
• Wk 08. Verification and Validation within Cognitive Modeling of Individuals
• Wk 09. Validation of Machine Learning Models (Basics)
• Wk 10. Validation of Machine Learning Models (Bias, Fairness, and Assurance)
• Wk 11. Safer Deep Reinforcement Learning
• Wk 12. Validation of Statistical Models
• Wk 13. Validation of Network Models
• Wk 14. Ethics of Model Design and Use