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Class 7 — Computational Thinking & AI Domains

Part 1 builds CT via large numbers, expressions, decimals, algebra and geometry. Part 2 explores AI domains and applications, AI in industries, data visualisation, and ethics & bias.

Computational ThinkingArtificial Intelligence
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Part 1 — Computational Thinking

Unit 1: Chapter 1: Large Numbers Around Us

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Learning outcomes

  • Read and write numbers up to crores
  • Use Indian and international place value
Open chapter & practice10 graded questions

Unit 2: Chapter 2: Arithmetic Expressions

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Learning outcomes

  • Evaluate expressions using order of operations
  • Translate word problems into expressions
Open chapter & practice10 graded questions

Unit 3: Chapter 3: A Peek Beyond the Point

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Learning outcomes

  • Read, write and order decimals
  • Add and subtract decimals
Open chapter & practice10 graded questions

Unit 4: Chapter 4: Expressions using Letter-Numbers

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Learning outcomes

  • Use variables to represent unknowns
  • Form and simplify simple algebraic expressions
Open chapter & practice10 graded questions

Unit 5: Chapter 5: Parallel and Intersecting Lines

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Learning outcomes

  • Identify parallel, intersecting & transversal lines
  • Use angle properties to solve problems
Open chapter & practice10 graded questions

Unit 6: Chapter 6: Number Play

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Learning outcomes

  • Investigate divisibility rules
  • Reason about even/odd and prime properties
Open chapter & practice10 graded questions

Unit 7: Chapter 7: A Tale of Three Intersecting Lines

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Learning outcomes

  • Classify triangles by sides and angles
  • Apply the angle-sum property of triangles
Open chapter & practice10 graded questions

Unit 8: Chapter 8: Working with Fractions

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Learning outcomes

  • Multiply and divide fractions
  • Solve word problems with fractional quantities
Open chapter & practice10 graded questions

Part 2 — Artificial Intelligence

Unit 1: Chapter 1: AI Domains and Applications

Not started

Learning outcomes

  • Name key AI domains: Data Science, Computer Vision, NLP
  • Match real applications to the right AI domain
Open chapter & practice10 graded questions

Unit 2: Chapter 2: AI in Industries

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Learning outcomes

  • Describe AI use in healthcare, finance, retail and food delivery
  • Discuss benefits and risks of AI in each industry
Open chapter & practice10 graded questions

Unit 3: Chapter 3: Data Visualisation and Analysis

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Learning outcomes

  • Pick a suitable chart for a given question
  • Read insights from line, bar and pie charts
Open chapter & practice10 graded questions

Unit 4: Chapter 4: Ethics and AI Bias Awareness

Not started

Learning outcomes

  • Explain how biased data leads to biased AI
  • Suggest steps to make AI use responsible
Open chapter & practice10 graded questions