Part 1: Foundations of Systems Thinking

Learning Objectives:

• Understand the difference between linear and systems thinking
• Identify stocks, flows, and feedback loops in simple systems
• Recognize emergent properties and unintended consequences

Key Topics:

• What is systems thinking? Why it matters in the AI age
• Basic system components: stocks, flows, feedback loops
• Linear vs. exponential growth patterns
• Introduction to causal loop diagrams

Interactive CLD Examples:

• Bank account compound interest (reinforcing loop)
• Population growth dynamics
• Simple thermostat system (balancing loop)

Real-world Applications:

• Social media engagement algorithms
• Personal habit formation
• Economic market dynamics