The Physics Of Angry Birds
Subject: Physics
Time: 23 class periods (45 minutes each)
Level:
Physics; bestsuited for students who have had precalculus and a basic understanding of Newton's laws.
Overview
The activity has two main parts: 1.) Gathering data and 2.) Analyzing data and forming models/equations. The students will use computational tools to capture the motion of an Angry Bird in its world, record the data, determine the mathematical functional form of the data, and ultimately derive the gravitational acceleration on the Angry Birds’ world.
Student Outcomes
Learner Objectives:

Students are able to apply the equations of motion in a new context.

Students are able to use a computer simulation to generate data

Students are able to use a spreadsheet program to fit a mathematical model to their data.

Students understand the impact of short versus long time steps in a computer simulation.

Applications of learning: The students apply their knowledge of Newton's mechanics in solving a novel problem with a method that few, if any, will have used before.

Communicating: The students are instructed to generate a graph clearly showing their results.

Using technology: The students learn to use a program to fit their data to a model.

Working on teams: We encouraged working together in groups.

Making connections: We hope to promote the use of computer simulations in attacking physics problems rather than just as a tool for visualizing the data.
Prerequisites
 Students should be familiar with the equations of motion and how to apply them to projectiles.
 Familiarity with spreadsheets and organizing scientific data will come in handy when graphing and interpreting the results of the simulation.
Compatible With
mac
windows
laptops
chrome books
phones
tablets
What's Next?
Standards
 Physical Science
 [HSPS2] Motion and Stability: Forces and Interactions
Computational Thinking in STEM
 Modeling and Simulation Practices
 Assessing Computational Models
 Computational Problem Solving Practices
 Choosing Effective Computational Tools
 Data Practices
 Analyzing Data
 Collecting Data
 Creating Data
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