An optional, prerequisite-based elective path with course quizzes, checkpoints and a final assessment. 8 of 8 courses are authored. Schools and families can adopt it as is, customize a copy or choose individual courses.
Grade 9 · Computers & Digital Literacy · Elective
AI and Data Science
8 courses · 3 checkpoint quizzes · a final assessment · first 5 courses free
What the stops mean
- Course: lessons, practice and its own end quiz
- Checkpoint quiz: revisits several courses
- Final assessment: the whole path
- PlayTime and games: optional practice and fun
Progress counts required courses and quizzes only. Optional stops never change it.
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Checkpoint quiz
Checkpoint 1
Covers: Data, Labels and Problem Framing, Representation, Sampling and Bias, Rules-Based and Learned Models
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Checkpoint quiz
Checkpoint 2
Covers: Data, Labels and Problem Framing, Representation, Sampling and Bias, Rules-Based and Learned Models, Training, Validation and Test Sets, Model Evaluation and Error Analysis
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Checkpoint quiz
Checkpoint 3
Covers: Data, Labels and Problem Framing, Representation, Sampling and Bias, Rules-Based and Learned Models, Training, Validation and Test Sets, Model Evaluation and Error Analysis, Explainability, Limitations and Human Judgment
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Final assessment
Final assessment
Covers: Data, Labels and Problem Framing, Representation, Sampling and Bias, Rules-Based and Learned Models, Training, Validation and Test Sets, Model Evaluation and Error Analysis, Explainability, Limitations and Human Judgment, Responsible Use, Privacy and Governance, A Small Reviewed Modeling Project