Most people are taught to solve problems by breaking them into steps and writing code.

But complex systems—energy grids, electric vehicles, industrial processes, and organizations—don’t behave like step-by-step programs.

They behave like systems: interconnected, feedback-driven, and emergent.

Thinking in Systems, Not Code teaches you to model reality the way it actually works—not as sequences of instructions, but as structures where behavior emerges from relationships.

Using Modelica and equation-based modeling, you’ll learn to ask:

“How is this system structured?”
instead of
“How do I compute this?”

This shift makes complexity manageable—and models reusable across domains.

What You’ll Learn

Frame problems as systems, not isolated calculations
Choose meaningful system boundaries and levels of abstraction
Model using structure and relationships, not execution order
Apply conservation laws, feedback, and hierarchy across domains
Build models that scale, adapt, and reveal emergent behavior
Use models as tools for reasoning and decision-making—not just simulation

Who This Book Is For
This book is for readers who work with complex technical or socio-technical systems and want a deeper, more rigorous way to reason about them.

You may be:

An engineer working with physical, energy, or cyber-physical systems
A researcher or educator modeling dynamic processes
A systems architect or technical decision-maker evaluating design trade-offs
A practitioner using models, simulations, or quantitative analysis to support decisions

No prior Modelica experience is required.
Familiarity with basic mathematics, equations, or modeling concepts is helpful.