When students hear the word data, they may envision measurements that scientists collect, or perhaps it has something to do with the social media platforms they love. Many students struggle to understand where data comes from and how it can help us make decisions and better understand our world! They may not make a connection with computer science either. Just as
SAS® CodeSnaps is an easy, affordable, and engaging tool. All you need is one iPad, the free CodeSnaps app, one Sphero robot, and a problem to solve. Students work collaboratively in teams to generate the code required to move the Sphero; they build a program using the printable coding blocks, scan it with the app, and execute the program to check their logic. CodeSnaps is accessible and appropriate for all learners across all disciplines. Get creative and challenge your students to navigate an obstacle course, find members of a word family, explore the digestive system, or travel the Oregon Trail. Your imagination is your only limitation.
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
