Students work with envelopes and paper to model functions with parameters and return values. Students create their own physical function envelope for drawing a house that takes in different parameters, and then build another function to calculate and return the cost of building that house.
This lesson is aligned to CSTA standards.

In this lesson students work with partners to investigate two different apps that use parameters and return values. Students are also introduced to the mod operator as part of one of the apps that they use.
This lesson is aligned to CSTA standards.

Students use the knowledge and skills they've developed working with parameters and return values to develop a Rock Paper Scissors App. Unlike typical Make projects, students are given a significant portion of the starter code but are given three functions with parameters and return values that they'll need to develop themselves. At the end students submit their apps which can be assessed using a provided rubric.
This lesson is aligned to CSTA standards.

Students use the knowledge and skills they've developed working with parameters and return values to develop a Rock Paper Scissors App. Unlike typical Make projects, students are given a significant portion of the starter code but are given three functions with parameters and return values that they'll need to develop themselves. At the end students submit their apps which can be assessed using a provided rubric.
This lesson is aligned to CSTA standards.

Students learn the basics of libraries while building upon the envelope model of a function with a folder to represent a library.
This lesson is aligned to CSTA standards.

In this lesson students work with partners to investigate two apps that use libraries as well as the code used to make a library. Through a series of guided discussions they learn how libraries help programmers simplify and reuse their code.
This lesson is aligned to CSTA standards.

Students practice important skills for working with libraries, including testing and debugging libraries, and using libraries to help develop apps. After a brief introduction to these practices by the teacher, students spend the majority of their time programming in a level progression.
This lesson is aligned to CSTA standards.

In this lesson students begin a multi-day project designing a library of functions. Students will brainstorm common problems they've encountered while programming this year and begin to design functions that address those common problems.
This lesson is aligned to CSTA standards.

Students continue to develop their library of functions. Students are encouraged to begin developing tests for their functions to make sure they return values as expected. Late in the lesson students exchange their library with a classmate for feedback.
This lesson is aligned to CSTA standards.

This lesson contains a series of activities you can use to help students familiarize themselves with Create Performance Task, how it is scored, and some example tasks created by Code.org. Students review the Submission Requirements and Scoring Guidelines for the Create PT. Subsequently they review three example scored Create PT submissions with commentary to better understand how the Submission Requirements and Scoring Guidelines are used together. In a wrap-up conversation they identify a piece of advice, a "gotcha", and a remaining question they have about the Create.
This lesson is aligned to CSTA standards.

This lesson is designed to introduce the nuances of the Create PT, and begin to provide some answers to the questions that will inevitably arise. The Create PT is in many ways straightforward: you complete a self-directed programming project and respond to prompts about your program and process. As you dig into the details of the task, however, you quickly come across some of the nuances of individual components of the task and how they're scored.
This lesson is aligned to CSTA standards.

This lesson uses the Create PT Survival Guide to help students narrow down and brainstorm ideas for their actual project. The lesson concludes by providing students with resources to make a plan to complete the task starting in the next lesson.
This lesson is aligned to CSTA standards.

It is finally time for students to take on the Create Performance Task. For a total of 12 class hours, students should work on their projects with only types of teacher support allowed (essentially: Advise on process, don’t influence or evaluate ideas). Students may also work with a collaborative partner in in development of their program - written responses must be done on their own. The lesson includes reminders about how you can interact with students while they are working on their projects, and suggestions about time line. The Create PT requires a minimum of 12 hours of class time. At the end, students will submit their program code, program video, and written responses through their AP digital portfolio.
This lesson is aligned to CSTA standards.

In this lesson students explore the “What’s Going on in this Graph?” site in order to tell a "data story" which explains both what the data shows and why that might be. Following this, students are introduced to the concept of metadata and look for the metadata of datasets on App Lab.
This lesson is aligned to CSTA standards.

Students will practice making conclusions from charts and learn to use the Data Visualizer in App Lab to make create two different kinds of charts a bar chart, and a histogram. The lesson begins with a quick prompt to review the reasons charts are useful for looking at data. Students then practice reading a bar chart and review the kinds of questions it is and is not useful for answering. Afterwards they build different bar charts in the Data Visualizer and discuss why some are or are not useful. Afterwards they learn how to make histograms for building charts in instances where bar charts may not be useful. Students record their work on an activity guide. The lesson concludes with a brief review of what they learned.
This lesson is aligned to CSTA standards.

In this lesson, student explore the challenges of working with a messy dataset. First students learn how to identify issues using the Data Visualizer, and then manually clean the data. Following this, students learn about the filtering tools in the Data Visualizer, and use a guided activity to answer data questions that require filtering a dataset.
This lesson is aligned to CSTA standards.

Students will practice making conclusions from charts and learn to use the Data Visualizer in App Lab to make create two different kinds of charts, a cross tab, and a scatterplot. Students will practice reading each type of chart before learning to make them in the Data Visualizer. Students will track their work using a provided activity guide. The lesson concludes with a review of key takeaways.
This lesson is aligned to CSTA standards.

Students will complete a jigsaw of three different topics at the intersection of data, computing, and global impacts. These are topics, big data, crowdsourcing, and open data. Students will watch videos or listen to audio recordings about the different topics. Groups will each complete an activity guide about their topic before having individuals from each group share out their findings. The lesson concludes with a review of key points.
This lesson is aligned to CSTA standards.

In this lesson, students are introduced to the concepts of Artificial Intelligence and Machine Learning using the AI for Oceans widget. First students classify objects as either "fish" or "not fish" to attempt to remove trash from the ocean. Then, students will need to expand their training data set to include other sea creatures that belong in the water. In the second part of the activity, students will choose their own labels to apply to images of randomly generated fish. This training data is used for a machine learning model that should then be able to label new images on its own.
This lesson is aligned to CSTA standards.

In this lesson, students will practice cropping images to uncover the bias underlying the Twitter cropping algorithm. Then, students will read and watch a video about the discovery of this biased algorithm. Finally, students will discuss ways to recognize and reduce bias along with analyzing Twitter's response to the allegations of bias in their cropping algorithm.
This lesson is aligned to CSTA standards.