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South Carolina Fundamentals of Computing

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Intro to AI
Description

In this lesson, students will explore the concept of intelligence, engaging with various resources to make their own determination on the level of intelligence of AI models.

Objective

Students will be able to:

  • Define intelligence as it will be used in this course
  • Describe the Turing Test, its uses, and where it falls short
  • Engage with various resources to gauge the intelligence level of AI tools
Description

In this lesson, students will engage with the actual training of AI models. They will use Teachable Machine to create a model that will then be used inside a program in the CodeHS editor.

Objective

Students will be able to:

  • Explain how AI models are created from training data
  • Use Teachable Machine to train a model that will be used in an HTML program
Description

In this lesson, students will explore the use cases for AI in various industries by using image and audio data sets to create Teachable Machine models.

Objective

Students will be able to:

  • Explore the use cases of AI in industries such as healthcare, fashion, animal sciences, sales, and music
  • Use Teachable Machine to engage with data in various ways
Description

In this lesson, students will explore how biased training data can affect an AI model’s output.

Objective

Students will be able to:

  • Explain the concept of biased training data
  • Describe how the use of biased training data can affect an AI model