Get the Book
The full course, in a form you can read on a plane or mark up with a pen.
About the Book
Introduction to Mathematical Modeling in Behavior Science is the printed and ebook companion to this course. It contains the same thirteen chapters, eight-step framework, practice problems, worked answers, appendices, and glossary that you will find on this site, arranged for linear reading.
The website remains the canonical home for the labs, which depend on a running Python kernel and a browser. The book is the place to read the theory end-to-end, study offline, or work through the practice problems away from a screen.
Buying the book is the most direct way to support continued work on the course. All site content stays free.
Where to Buy
Purchase links will be live once the book is published. Check back soon, or follow along on the course site in the meantime.
What's Inside
- Course overview and the eight-step modeling framework.
- Thirteen chapters covering matching, discounting, demand, associative learning, behavioral momentum, model comparison, model construction, probability, multilevel and time-series methods, dynamical systems, computational models, and machine learning.
- Thirty practice problems with worked answers.
- Appendices: key equations, model comparison guide, and a quick reference.
- Glossary of terms from mathematical modeling, statistics, and behavior science.
Who It's For
Doctoral students in behavior analysis, behavior science, and adjacent fields who want fluency in reading, evaluating, building, and communicating quantitative models of behavior. Self-study readers and instructors looking for a course-in-a-book are equally welcome.