AI Logic, Data Handling & Computational Models

Transition from a programmer to a data scientist with “GleeCode Intelligent.” Designed for Class 7, this book explores the sophisticated world of Artificial Intelligence and Computational Modeling. Students will move beyond basic logic to understand how machines “think” through data. By building predictive models, exploring neural networks, and mastering complex data structures, learners will gain the tools to create intelligent software that can solve real-world problems through data-driven decisions.

₨ 1,700

Book Specifications:
  • Target Grade: Class 7 (Ages 12–14)
  • Total Pages: 122
  • Total Chapters: 8
  • Software Used: GleePortal (AI Training Lab), Python / JavaScript (Structured Coding), Tux Paint (Algorithm Visualization)

Core Technologies Covered

Computational Modeling

Using code to create a "Simplified World" where students can test theories and see results.

Big Data Handling

Learning how to organize and search through thousands of pieces of information instantly.

Neural Logic

Understanding the "Input → Hidden Layer → Output" structure of simple artificial intelligence.

Logic Visualization

Using Tux Paint to design complex flowcharts that map out how an AI makes a decision.

Systematic Refinement

Learning to "fine-tune" a model adjusting parameters until the AI provides the correct answer.

Why This Book is Unique

  • Predictive Power

    Students don’t just code actions; they build models that predict outcomes, such as weather patterns or game results.

  • The “Bias” Lab

    A unique module that teaches students how to identify and correct bias in AI, fostering responsible innovation.

  • Visualizing Complexity

    Uses Tux Paint to create visual maps of “Neural Pathways,” making abstract AI concepts tangible.

Chapter Namelearning OutComesActivitiesActivities
The Data UniverseMaster advanced data types and multi-dimensional lists.2GleePortal
Algorithmic ComplexityUnderstand why some algorithms are faster than others (Big O).3GleePortal
How Machines LearnExplore the three main types of Machine Learning.2GleePortal (AI Lab)
Building Training SetsCreate and clean data sets to "teach" a virtual AI agent.3GleePortal
Computational SimulationsBuild a digital model to simulate a real-world scenario.3Scratch / Python
The Logic of Neural NetsVisualize how nodes and layers process information.2Tux Paint
Ethics in the AI EraAnalyze the impact of AI on privacy, safety, and fairness.1Discussion/Lab
The Intelligent ProjectFinal: Design an AI-powered app prototype.1All Tools

Frequently Asked Questions

We’ve answered some of the most common questions to make your experience smooth and stress-free.
How do I book a lab test?

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Do you offer home sample collection?

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When will I receive my test results?

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How can I access my test reports?

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Are your lab tests accurate and reliable?

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting,

Can I walk in for a test, or is prior booking required?

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting,