In this project, students will create artistic data representations, expressive artifacts based on data sets. Before engaging in their own projects, students will briefly research and discuss data-based art making in history and in contemporary times. Then, students will use the remaining 3 instructional days to create their art. The resources below provide support for two kinds of representational projects—data-based music, and data-based visual art on a grid (similar to the weaving art discussed in ECS 1.11-14).

Students will use minimum spanning trees to analyze a problem and provide insights into addressing the problem. The lesson provides detailed support around analyzing transportation infrastructure in their community and assessing its impact on the lives of different people who use it. Students create minimum spanning trees based on data, solve the trees to generate insights about the data, and communicate those insights along with policy recommendations based on their analysis.

In this lesson, students will explore the relationship between website file size, request volume, and internet speed. They will then unpack how website design impacts accessibility for web users with slow or unreliable internet, outdated computers, or other constraints that lead to information access issues.

This lesson incorporates computer science with an interesting enrichment topic for Environmental Science II, Astronomy - Dark Matter.  Students will be able to visualize WHY scientists believe that 85% of matter in our universe is not the same as what we are made of.  Using simple orbital speed kits, your class can combine their data and analyze it to see what happens to orbital speed with increasing distance from the barycenter of a galaxy.  They can add mass to the center to represent dark matter and see how that increases the orbital speed - just like what Vera Rubin discovered in the 1960s.

This is a hands on lesson to get students up and moving while also learning about calculating quadratic regressions.  It incorporates techology such as DESMOS and/or CODAP to get students comfortable with these programs and loooking at data in different ways.