Google for Education: Modeling Projectile Motion Using Computational Thinking

With this demonstration, students will learn to use computational thinking to better understand how the atomic number of an element affects how its electrons are configured.

Some example problems where students model biological phenomena with computational thinking in order to make predictions and better understand their world.

Through this demonstration students will understand radioactive including its probabilistic nature and begin to see how scientists use computational thinking to model complex phenomena.

In this demonstration, students learn how to use computational thinking to discover the laws which govern a pendulum's swing.

Find out how Google street view engineers use computational thinking to solve problems. [3:44]

Students learn how to use and analyze data to draw conclusions about information collected from classmates. Then they use computational thinking by collecting and aggregating data onto a spreadsheet, identifying patterns in their data,...

By using Microsoft Excel, students collect, decompose, and re-aggregate class data. Students use computational thinking skills by decomposing long lists of information and writing basic algorithms to help analyze data.

Incorporate computational thinking into a curriculum with these classroom-ready lessons, examples, and programs. Lessons include complete teacher editions, student worksheets, and any applicable Python programs.

Computational thinking can be used to take a complex problem, understand what the problem is and develop possible solutions to solve or explain it. In these six Quest, students will learn about the four stages of computational thinking:...

Computers provide humans with fast and repeatable processing to create algorithms that model real world phenomena. Developing models allows students to apply their understanding and make predictions.