Data and Society

This lesson introduces students to the binary number system. With a set of cards that represent the place values in a binary (base-2) number system, the class turns bits "on" or "off" by turning cards face up and face down, then observes the numbers that result from these different patterns. Eventually, the pattern is extended to a generic 4-bit system.

Students have a discussion on the different levels of security they would like for personal data. Once the class has developed an understanding of the importance of privacy, they learn about the process of encrypting information by enciphering a note for a partner and deciphering the partner's note. The class concludes with a discussion about the importance of both physical and digital security.

This lesson goes further into the interpretation of data, including how to clean and visualize raw data sets. The class first looks at how presenting data in different ways can help people to understand it better. After seeing how cleaning and visualization can help people make better decisions, students look at which parts of this process can be automated, and which parts need a human.

Students begin the lesson by looking at a cake preference survey where respondents specified both a cake and an icing flavor. They discuss how knowing the relationship between cake and icing preference helps them better decide which combination to recommend. Students are then introduced to cross tabulation, which allows them to graph relationships to different preferences. They use this technique to find relationships in a preference survey, then brainstorm the different types of problems that this process could help solve.

In this lesson, the class looks at a simple example of how a computer could be used to complete the decision making step of the data problem solving process. Students are given the task of creating an algorithm that suggests a vacation spot. They then create rules, or an algorithm, that a computer could use to make this decision automatically. Students share their rules and what choices their rules would make with the class data. Next, they use data from their classmates to test whether their rules would make the same decision that a person would. The lesson concludes with a discussion about the benefits and drawbacks of using computers to automate the data problem solving process.

This lesson covers how data is collected and used by organizations to solve problems in the real world. Students look at three scenarios that could be solved using data and brainstorm the types of data they would want to use to solve each problem, as well as strategies they could use to collect the data. Each scenario also includes a video about a real-world service that has solved a similar problem with data.

You will explore how machine learning can be used to make decisions about data. You help an AI Bot learn how to identify fish, which will help it clean up trash from the ocean floor. Along the way, we see how machine learning and big data can be used to solve problems in society.