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Predator Prey ( Lynx Hare )


The predator prey unit will last for a week and a half. (Or, 3 classes) The purpose of this unit is to teach the students of this class about using system dynamics, using predator-prey interaction as a vehicle to facilitate the student's understanding of how the systems dynamics approach to modeling functions. This unit will consist of a lab where students use a couple of different simulation models to explore the intricacies of how predator and prey interact, both agent-based and system dynamics based.

Background Reading for Teachers and TAs

Reading Assignments for Students

Reference Material

Lecture Notes

Outline of the lectures designed to fit into 2 1:20 slots per week. This unit lasts 1 1/2 weeks, so requires 3 lectures. I dig the detail of these lecture notes. Do more!

Lecture 1:

Lecture 2:

Lecture 3:





Bill of Materials


CRS Questions

Quiz Questions

Predator Prey Metadata

This section contains information about the goals of the unit and the approaches taken to meet them. et them.


Concepts, Techniques and Tools

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General Education Alignment

Analytical Reasoning Requirement

Abstract Reasoning

From the [Catalog Description] Courses qualifying for credit in Abstract Reasoning typically share these characteristics:

Quantitative Reasoning

From the [Catalog Description] General Education courses in Quantitative Reasoning foster students' abilities to generate, interpret and evaluate quantitative information. In particular, Quantitative Reasoning courses help students develop abilities in such areas as:

Scientific Inquiry Requirement

From the [Catalog Description] Scientific inquiry:

Scaffolded Learning

Inquiry Based Learning

Some prose.

Consider open-ended questions for the students to explore in the context of the lab. What happens when you change X? Why?

Predator Prey Mechanics

General Feedback

Lab Feedback

Run 1

It took about 20 min without doing a full write-up or the last part. The instructions were a little sparse and assumed knowledge of the tools. However the basics of the lab work well and gives students a chance to actually see how a systems dynamics model can be created and run, and explores the difference between it and Agent based modeling. It would have been nice to have the final part ready as I think it is in a lot of ways the kicker of the lab but even if it's not included it's still a fairly strong lab. I think it's an appropriate difficulty in that there it requires students to apply what they've learned and use a new tool but, assuming the instructions were fleshed out, provides enough scaffolding to help them get through it without much despair.

Archived Feedback


Dylan Parkhurst

Matt Edlefsen

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