AP Computer Science Principles

How is agriculture using innovation and technology to help feed the world?
Where does computer science and innovation fit in the industry of agriculture? Nearly everywhere! These lessons help students investigate agriculture as a source of innovation and technology which may be unfamiliar but is critically important to food security and feeding the world. See teacher background →

Lessons

# Investigation into computer innovations in agriculture

Students will complete three investigations into computer innovations. Through these investigations, students will look at the data a computing innovation uses to complete its task; any data privacy, security, or storage concerns that might be associated with the innovation; and the beneficial and harmful effects the computing innovation might have on society, the economy, or culture. (AP CSP Course Framework p. 111)

Files

# Research on food security

Students will investigate agriculture innovations that impact food security, then create a presentation to share.

Files


Teacher background

Advanced Placement (AP) Computer Science Principles (CSP) is a relatively new course in the AP line-up, introduced in 2016. As of 2019, over 100,000 students have taken the AP CSP Exam. AP Computer Science Principles introduces students to the foundational concepts of the computer science field and challenges them to explore how computing and technology can impact the world. The course is centered around five Big Ideas: 1) Creative Development, 2) Data, 3) Algorithms and Programming, 4) Computer Systems, and 5) Impact of Computing.

All of these topics can be applied to agriculture as well as many other industries. This unit will highlight the Creative Development and the Impact of Computing ideas.

Additional resources

Read more

Next gen science standards

Science and engineering practices

  • Analyzing and interpreting data
  • Using mathematics and computational thinking
  • Obtaining, evaluating, and communicating information

Crosscutting concepts

  • Patterns
  • Cause and effect
  • Systems and system models

Disciplinary core ideas/content

  • LS1D Information processing
  • PS4C Information technologies and instrumentation
  • ETS1B Developing possible solutions
  • ETS2 Links among Engineering, technology, science and society

Curriculum author