Computational Thinking
Computational thinking is the skill of breaking big problems into small steps and finding smart ways to solve them, and it is a superpower for the digital age. Our Computational Thinking Olympiad is a competitive challenge that builds logic, pattern recognition, and creative problem-solving, with no coding experience needed. Give your child the chance to think like a innovator, solve puzzles with confidence, and get ready for a future powered by technology.
Skills Assessed with Computational Thinking Olympiad
For Classes 1 to 10
Logical Reasoning
Pattern Recognition
Algorithmic Thinking
Problem Decomposition
Curriculum
Class-wise syllabus breakdown
SECTION A : ABSTRACT & SPATIAL THINKING
- Directions and Turns
- 2-D & 3-D Shapes
- Paper Folding
- Cube Faces
- Cube Joining
- Spatial Position and Movement
SECTION B : PATTERN RECOGNITION
- Even-Odd Recognition
- Number Patterns
- Letter Sequences
- Repeating Shape Patterns
- Missing Terms
- Alternating and Rule-Based Sequences
SECTION C : DECOMPOSITION, NUMBERS & DATA
- Digit and Place-Value Puzzles
- Multi-Step Number Problems
- Money-Based Reasoning
- Simple Data Interpretation
- Addition and Subtraction in Real-Life Situations
SECTION D : ALGORITHMIC THINKING & LOGICAL SEQUENCING
- Number Machines
- Step-by-Step Instructions
- Repeated Operations
- Robot Movement
- Directional Algorithms
- Logical Ordering of Actions
SECTION E : OLYMPIAD CHALLENGE
- Multi-Rule Patterns
- Digit-Clue Problems
- Ranking and Ordering
- Symbol-Based Reasoning
- Conditional If-Then Rules
- Multi-Step Robot Movement
- Higher-Order Logical Problems
SECTION A : ABSTRACT & SPATIAL THINKING
- Robot Movement
- Directions and Turns
- 2-D & 3-D Visualisation
- Paper Folding
- Cubes and Exposed Faces
- Rotational Reasoning
SECTION B : PATTERN RECOGNITION
- Number Patterns
- Letter Patterns
- Repeating Symbol Patterns
- Missing Terms
- Increasing-Difference Patterns
- Multi-Rule Sequences
SECTION C : DECOMPOSITION, NUMBERS & DATA
- Four-Digit Number Puzzles
- Place Value
- Multi-Step Arithmetic
- Data Interpretation
- Money and Time Reasoning
- Equal Grouping and Distribution
SECTION D : ALGORITHMIC THINKING & LOGICAL SEQUENCING
- Number Machines
- Repeated Instructions
- Robot Paths
- Error Detection and Debugging
- Step Sequencing
- Logical Ordering
SECTION E : OLYMPIAD CHALLENGE
- Digit-Based Reasoning
- Complex Number Patterns
- Age and Ranking Problems
- Symbol-Value Problems
- Conditional Rules
- Shortest-Route Reasoning
SECTION A : ABSTRACT & SPATIAL THINKING
- Directions and Robot Movement
- Shape Formation
- Symmetry and Rotational Symmetry
- Paper Folding
- Cube Reasoning
- Arrangement and Position
- Spatial Visualisation
SECTION B : PATTERN RECOGNITION
- Number, Letter and Symbol Patterns
- Missing Terms
- Incorrect-Term Identification
- Letter-Number Pairs
- Repeating Patterns
- Number-Machine Patterns
SECTION C : DECOMPOSITION, NUMBERS & DATA
- Number Formation
- Fractions
- Measurement and Unit Conversion
- Time and Money
- Pictographs
- Multi-Step Data Problems
- Quantitative Reasoning
SECTION D : ALGORITHMIC THINKING & LOGICAL SEQUENCING
- Number Machines
- Repeated Algorithms
- Robot Movement
- Conditional Rules
- Logical Scheduling
- Debugging
- Minimum-Move Problems
- Multi-Step Sequencing
SECTION E : OLYMPIAD CHALLENGE
- Secret Codes
- Constraint-Based Reasoning
- Fraction Problems
- Ranking and Ordering
- Robot Rotation
- Shortest Routes
- Symbolic Equations
- Map-Based Reasoning
- Conditional Number Machines
SECTION A : ABSTRACT & SPATIAL THINKING
- Painted Cubes
- Paper Folding
- Directions and Angular Rotation
- Symmetry
- Cube Arrangements
- Map Scale
- Area Scaling
- Grid and Intersection Reasoning
SECTION B : PATTERN RECOGNITION
- Complex Number Sequences
- Letter Patterns
- Letter-Number Pairs
- Alternating Rules
- Repeating Symbol Patterns
- Number-Pair Machines
- Hidden Rules
SECTION C : DECOMPOSITION, DATA & CONSTRAINTS
- Divisibility
- Multi-Step Numerical Problems
- Fractions
- Averages
- Set-Based Reasoning
- Data Interpretation
- Constraints and Task Ordering
SECTION D : ALGORITHMIC THINKING & LOGICAL FLOW
- Conditional Algorithms
- Number Machines
- Loops and Repeated Operations
- Robot Movement
- Variables and Value Swapping
- Accumulator Logic
- Debugging
- Identifying Unnecessary Steps
- Minimum-Move Problems
- Dependency-Based Task Sequencing
SECTION E : AI LITERACY & OLYMPIAD CHALLENGE
- AI vs Fixed-Rule Automation
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Types of Data
- Online Privacy
- Digital Footprints
- Pattern-Based Prediction
- Code Constraints
- Shortest-Path Reasoning
SECTION A : ABSTRACT & SPATIAL THINKING
- Directional Movement
- Cube and Cuboid Reasoning
- Reflection and Rotation
- Paper Folding
- Symmetry
- Cube-Face Relationships
- Map Scale and Spatial Measurement
SECTION B : PATTERN RECOGNITION
- Complex Number Sequences
- Letter Patterns
- Mathematical Mappings
- Factorial Patterns
- Fractional and Geometric Sequences
- Alternating and Multi-Rule Patterns
SECTION C : DECOMPOSITION, NUMBERS & DATA
- Ratios and Proportions
- Percentages
- Fractions
- Averages
- Divisibility
- Time-Based Problems
- Data Interpretation
- Multi-Step Quantitative Reasoning
SECTION D : ALGORITHMIC THINKING & LOGICAL SEQUENCING
- Number Machines
- Conditional Rules
- Robot Algorithms
- Task Sequencing
- Repetition and Loops
- Debugging
- Variable Swapping
- Shortest-Route Counting
- Logical Flow
SECTION E : OLYMPIAD CHALLENGE
- Regression and Clustering
- Natural Language Processing
- AI Bias and Fairness
- AI vs Automation
- Supervised Learning
- Online Privacy
- Types of Data
- Number and Code Puzzles
- Shortest-Route Challenges
SECTION A : ABSTRACT & SPATIAL THINKING
- Binary Number Conversion
- Remainder-Based Reasoning
- Painted Cubes
- Coordinate Rotation and Reflection
- Symmetry
- Solid Blocks
- Grid and Intersection Reasoning
SECTION B : PATTERN RECOGNITION
- Complex Number Patterns
- Binary Sequences
- Letter Patterns
- Prime-Position Patterns
- Functional Rules
- Alternating and Multi-Step Sequences
- Letter-Number Pairs
SECTION C : DECOMPOSITION, DATA & CONSTRAINTS
- Remainder Constraints
- Rate and Work Problems
- Mean and Median
- Ratios
- Percentage, Discount and Tax
- Dataset Splitting
- Set-Based Reasoning
- Image Data and Storage Calculations
SECTION D : ALGORITHMIC THINKING & LOGICAL FLOW
- Multi-Condition Algorithms
- Iterative Rules
- Variables
- For and While Loops
- Accumulator Logic
- Robot and Grid Paths
- Task Ordering
- Debugging
- Loop Errors
- Shortest-Path Counting
SECTION E : AI LITERACY & OLYMPIAD CHALLENGE
- AI Project Lifecycle
- Classification
- Regression
- Clustering
- Computer Vision
- Reinforcement Learning
- Training, Validation and Testing Data
- AI Bias and Fairness
- Binary Arithmetic
- Responsible and Safe Data Practices
SECTION A : ABSTRACT & SPATIAL THINKING
- Binary Number System and Conversion
- Coordinate Rotation and Reflection
- Painted Cubes
- Set and Venn-Based Logical Reasoning
- Spatial and Quantitative Abstraction
SECTION B : PATTERN RECOGNITION
- Complex Number Sequences
- Functional Patterns
- Prime-Position Letter Patterns
- Alternating Rules
- Fibonacci Sequence
- Binary and Hexadecimal Pattern Recognition
SECTION C : DECOMPOSITION, DATA & CONSTRAINTS
- Percentage Change
- Mean and Median
- Ratios
- Probability
- Dataset Splitting
- Image Storage Calculations
- Model Accuracy
- Data-Based Quantitative Reasoning
SECTION D : ALGORITHMIC THINKING & LOGICAL FLOW
- Iterative Algorithms
- Conditional Rules
- Variables and Swapping
- Nested Loops
- Weighted Networks and Minimum-Cost Paths
- Debugging
- Accumulator Logic
- Binary Search
- Shortest-Path Counting
- Loop Boundary Errors
SECTION E : AI LITERACY & OLYMPIAD CHALLENGE
- Classification, Regression and Clustering
- Precision and Recall
- Model Accuracy
- Overfitting
- AI Bias and Fairness
- Data Privacy and Consent
- Natural Language Processing
- Constraint-Based Codes
- Generative AI Verification
- Responsible Use of AI
Sample Paper
Class-wise downloadable sample papers