Labs · CBSE
Computing & AI
Coding, AI, data, robotics and AR/VR. Every chapter in book order, with its worlds, labs, stories and films.
Chapters
147 chapters · book order
Class 3
5 chapters- Abstract ThinkingComputational Thinking (integrated with Mathematics and TWAU)
- Pattern RecognitionComputational Thinking (integrated with Mathematics and TWAU)Main lab: Patterns
- DecompositionComputational Thinking (integrated with Mathematics and TWAU)
- Algorithmic ThinkingComputational Thinking (integrated with Mathematics and TWAU)
- Basic Computer ConceptsMain lab: Coding Studio
Class 4
5 chapters- Abstract ThinkingComputational Thinking (integrated with Mathematics and TWAU)
- Pattern RecognitionComputational Thinking (integrated with Mathematics and TWAU)
- DecompositionComputational Thinking (integrated with Mathematics and TWAU)
- Algorithmic ThinkingComputational Thinking (integrated with Mathematics and TWAU)Main lab: Robot Maze Challenge
- Basic Computer ConceptsMain lab: Coding Studio
Class 5
5 chapters- Abstract ThinkingComputational Thinking (integrated with Mathematics and TWAU)
- Pattern RecognitionComputational Thinking (integrated with Mathematics and TWAU)
- DecompositionComputational Thinking (integrated with Mathematics and TWAU)
- Algorithmic ThinkingComputational Thinking (integrated with Mathematics and TWAU)Main lab: Robot Maze Challenge
- Basic Computer ConceptsMain lab: Coding Studio
Class 6
10 chapters- Abstract ThinkingAdvanced CT Skills
- Pattern RecognitionAdvanced CT Skills
- DecompositionAdvanced CT Skills
- Algorithmic ThinkingAdvanced CT Skills
- Introduction to AI & Everyday ExamplesIntroductory AI ConceptsMain lab: ML Playground
- Basic Data ConceptsIntroductory AI Concepts
- Simple Pattern Recognition & Decision MakingIntroductory AI Concepts
- Ethics and Digital ResponsibilityIntroductory AI Concepts
- Using Computers for LearningComputer and Device Proficiency
- Interdisciplinary Projects
Class 7
10 chapters- Abstract ThinkingAdvanced CT Skills
- Pattern RecognitionAdvanced CT Skills
- DecompositionAdvanced CT Skills
- Algorithmic ThinkingAdvanced CT SkillsMain lab: Robot Maze Challenge
- AI DomainsIntroductory AI ConceptsMain lab: Clustering Visualizer
- AI in IndustriesIntroductory AI Concepts
- Data Visualisation & AnalysisIntroductory AI ConceptsMain lab: Data Visualization Lab
- Ethics & AI Bias AwarenessIntroductory AI ConceptsMain lab: AI Bias Detector
- Using Computers for LearningComputer and Device Proficiency
- Interdisciplinary Projects
Class 8
10 chapters- Abstract ThinkingAdvanced CT Skills
- Pattern RecognitionAdvanced CT Skills
- DecompositionAdvanced CT Skills
- Algorithmic ThinkingAdvanced CT Skills
- AI Project Lifecycle (Conceptual)Introductory AI Concepts
- Deeper Dive into AI ApplicationsIntroductory AI ConceptsMain lab: Chatbot Builder
- Data and FairnessIntroductory AI ConceptsMain lab: AI Bias Detector
- Ethics and Responsible AIIntroductory AI Concepts
- Using Computers for LearningComputer and Device Proficiency
- Interdisciplinary Projects
Class 9
17 chaptersArtificial Intelligence
- Employability SkillsPart A: Employability Skills
- AI Reflection, Project Cycle and EthicsPart B: Subject Specific Skills
- Data LiteracyPart B: Subject Specific SkillsMain lab: Data Visualization Lab
- Math for AI (Statistics & Probability)Part B: Subject Specific Skills
- Introduction to Generative AIPart B: Subject Specific SkillsMain lab: Prompt Engineering Lab
- Introduction to PythonPart B: Subject Specific SkillsMain lab: Python Sandbox
- Project Work, Field Visit or Student PortfolioPart D: Project Work / Field Visit / Student Portfolio
Information Technology
- Employability SkillsPart A: Employability Skills
- Introduction to IT–ITeS IndustryPart B: Subject Specific Skills
- Data Entry and Keyboarding SkillsPart B: Subject Specific Skills
- Digital DocumentationPart B: Subject Specific Skills
- Electronic SpreadsheetPart B: Subject Specific Skills
- Digital PresentationPart B: Subject Specific Skills
Class 10
30 chaptersArtificial Intelligence
- Employability SkillsPart A: Employability Skills
- Revisiting AI Project Cycle & Ethical Frameworks for AIPart B: Subject Specific Skills
- Advanced Concepts of Modeling in AIPart B: Subject Specific SkillsMain lab: Decision Tree Builder
- Evaluating ModelsPart B: Subject Specific SkillsMain lab: Image Classifier
- Statistical DataPart B: Subject Specific Skills
- Computer VisionPart B: Subject Specific SkillsMain lab: Pixel Art Explorer
- Natural Language ProcessingPart B: Subject Specific SkillsMain lab: Chatbot Builder
- Advance PythonPart B: Subject Specific Skills
- Project Work, Field Visit or Student PortfolioPart C: Project Work / Field Visit / Student Portfolio
Information Technology
- Employability SkillsPart A: Employability Skills
- Introduction to StylesUnit 1: Digital Documentation (Advanced) using LibreOffice Writer
- Working with ImagesUnit 1: Digital Documentation (Advanced) using LibreOffice Writer
- Advanced Features of WriterUnit 1: Digital Documentation (Advanced) using LibreOffice Writer
- Analyse Data using Scenarios and Goal SeekUnit 2: Electronic Spreadsheet (Advanced) using LibreOffice Calc
- Using Macros in SpreadsheetUnit 2: Electronic Spreadsheet (Advanced) using LibreOffice Calc
- Linking Spreadsheet DataUnit 2: Electronic Spreadsheet (Advanced) using LibreOffice Calc
- Share and Review a SpreadsheetUnit 2: Electronic Spreadsheet (Advanced) using LibreOffice Calc
- Introduction to Database Management SystemUnit 3: Database Management System using LibreOffice Base
- Starting with LibreOffice BaseUnit 3: Database Management System using LibreOffice Base
- Working with Multiple TablesUnit 3: Database Management System using LibreOffice Base
- Queries in BaseUnit 3: Database Management System using LibreOffice Base
- Forms and ReportsUnit 3: Database Management System using LibreOffice Base
- Health, Safety and Security at WorkplaceUnit 4: Maintain Healthy, Safe and Secure Working Environment
- Workplace Quality MeasuresUnit 4: Maintain Healthy, Safe and Secure Working Environment
- Prevent Accidents and EmergenciesUnit 4: Maintain Healthy, Safe and Secure Working Environment
- Project Work, Field Visit and Practical FilePart D: Project Work / Field Visit / Portfolio
Class 11
29 chaptersComputer Science
- Computer Organisation and SoftwareComputer Systems and Organisation
- Boolean LogicComputer Systems and OrganisationMain lab: Binary and Logic Gates
- Number Systems and EncodingComputer Systems and Organisation
- Problem Solving and AlgorithmsComputational Thinking and Programming I
- Python FundamentalsComputational Thinking and Programming I
- Operators, Expressions and ErrorsComputational Thinking and Programming I
- Conditionals and LoopsComputational Thinking and Programming IMain lab: Python Sandbox
- StringsComputational Thinking and Programming I
- Lists and TuplesComputational Thinking and Programming IMain lab: Algorithm Visualizer
- DictionariesComputational Thinking and Programming I
- Python ModulesComputational Thinking and Programming I
- Digital Citizenship and SafetySociety, Law and Ethics
- Intellectual Property and Inclusive TechnologySociety, Law and Ethics
Informatics Practices
- Introduction to Computer System
- Python Basics and Control StatementsIntroduction to PythonMain lab: Python Sandbox
- Lists and DictionariesIntroduction to Python
- Introduction to NumPyIntroduction to Python
- Database Concepts and Relational ModelDatabase Concepts and the Structured Query Language
- Structured Query LanguageDatabase Concepts and the Structured Query Language
- Introduction to Emerging TrendsMain lab: AR & VR Fundamentals
Artificial Intelligence
- Employability SkillsPart A: Employability Skills
- Introduction: Artificial Intelligence for EveryoneSubject Specific SkillsMain lab: Introduction To AI
- Unlocking your Future in AISubject Specific Skills
- Python ProgrammingSubject Specific Skills
- Introduction to Capstone ProjectSubject Specific SkillsMain lab: Empathize & Define
- Data Literacy: Data Collection to Data AnalysisSubject Specific SkillsMain lab: Data Cleaning Workshop
- Machine Learning AlgorithmsSubject Specific SkillsMain lab: Clustering Visualizer
- Leveraging Linguistics and Computer ScienceSubject Specific SkillsMain lab: Chatbot Builder
- AI Ethics and ValuesSubject Specific SkillsMain lab: AI Ethics And Bias
Class 12
26 chaptersComputer Science
- FunctionsComputational Thinking and Programming II
- Exception HandlingComputational Thinking and Programming II
- Text FilesComputational Thinking and Programming II
- Binary and CSV FilesComputational Thinking and Programming II
- StacksComputational Thinking and Programming II
- Data Communication and NetworksComputer Networks
- Network Media, Devices and TopologiesComputer Networks
- Protocols and Web ServicesComputer Networks
- Relational DatabasesDatabase Management
- SQL Definitions and QueriesDatabase Management
- Aggregation and JoinsDatabase Management
- Python–SQL ConnectivityDatabase Management
Informatics Practices
Artificial Intelligence
- Employability SkillsPart A: Employability Skills
- Python Programming IISubject Specific SkillsMain lab: Data Cleaning Workshop
- Data Science Methodology: An Analytic Approach to Capstone ProjectSubject Specific Skills
- Making Machines SeeSubject Specific SkillsMain lab: Pixel Art Explorer
- AI with Orange Data Mining ToolSubject Specific Skills
- Introduction to Big Data and Data AnalyticsSubject Specific Skills
- Understanding Neural NetworksSubject Specific SkillsMain lab: Neural Network Playground
- Generative AISubject Specific SkillsMain lab: Prompt Engineering Lab
- Data StorytellingSubject Specific SkillsMain lab: Data Visualization Lab
Explore
Beyond the syllabus · 14 labs
Artificial Intelligence
Computing & AI · 2 labsRobotics
Computing & AI · 8 labsAR & VR
Computing & AI · 4 labsPractise Computing & AI
Chapter questions with worked answers, on screen or as a printed paper.



