Computational Thinking
32 concepts in CS Thinking
Computational thinking is a problem-solving approach that draws on concepts fundamental to computer science but applies far beyond programming. It involves four key practices: decomposition (breaking complex problems into smaller, manageable parts), pattern recognition (identifying similarities and trends), abstraction (focusing on essential information while ignoring irrelevant details), and algorithmic thinking (designing step-by-step solutions). Students learn to think systematically about processes, represent information efficiently, and automate solutions where possible. These skills translate directly into writing code, but they also strengthen reasoning in mathematics, science, and everyday decision-making. As technology becomes central to nearly every career, computational thinking provides students with a versatile intellectual toolkit for understanding and shaping the digital world around them.
Suggested learning path: Start with decomposition and pattern recognition using concrete, unplugged activities, then introduce abstraction and algorithmic design, and finally apply these skills through simple programming projects.
Algorithm
A step-by-step set of instructions for solving a problem or accomplishing a specific task.
Decomposition
Breaking a complex problem into smaller, more manageable parts that are easier to solve.
Pattern Recognition
Identifying similarities, trends, or regularities in data or problems to build general solutions.
Abstraction
Focusing only on the essential information needed to solve a problem while ignoring irrelevant details.
Sequence
Executing a series of instructions one after another in a fixed, specific order.
Selection
Choosing which block of code to execute based on whether a condition is true or false.
Iteration
Repeating a block of instructions multiple times until a stopping condition is satisfied.
Variable
A named container in a program that stores a value, which can be read, updated, or replaced.
Data Types
Categories that classify data values and determine which operations can validly be performed on them.
Boolean Logic
A system of logic that works with only two possible values: true and false, combined with AND, OR, NOT.
Function (Programming)
A named, reusable block of code that performs a specific task, taking input and optionally returning output.
Parameters
Named values passed into a function when calling it, allowing the same function to operate on different data.
Array
An ordered collection of values stored together and accessed by their numeric index position.
Debugging
The systematic process of finding, diagnosing, and correcting errors (bugs) in a program.
Input/Output
The mechanisms by which a program receives data from the outside world (input) and sends results back (output).
Binary
A base-2 number system that uses only two digits, 0 and 1, to represent all values.
Bits and Bytes
A bit is a single binary digit (0 or 1); a byte is a group of 8 bits representing 256 possible values.
Recursion
A technique where a function calls itself to solve progressively smaller instances of the same problem.
Algorithm Efficiency
How an algorithm's time or memory requirements grow relative to the size of its input.
Searching
The process of locating a specific item or value within a collection of data using a systematic strategy.
Sorting
Rearranging items in a collection into a defined order, such as smallest to largest or alphabetical.
Event
A detectable action or occurrence in a program, such as a user click, key press, or timer expiry.
Data Representation
The way information—numbers, text, images, sound—is encoded as binary digits inside a computer.
Simulation
Using a computer program to model and experiment with a real-world system or process.
Testing
Systematically running a program with known inputs to verify that its outputs are correct.
Modular Design
Structuring a program as a set of independent, self-contained modules, each responsible for one thing.
Binary Search
An efficient algorithm for finding a target value in a sorted list by repeatedly halving the search range.
Linear Search
A search algorithm that checks each element in a list one by one until the target is found.
Merge Sort
A divide-and-conquer sorting algorithm that splits a list in half, sorts each half recursively, then merges the sorted halves.
Bubble Sort
A simple sorting algorithm that repeatedly compares adjacent elements and swaps them if out of order.
Logical Operators
Operators that combine boolean expressions: AND (both true), OR (at least one true), NOT (opposite).
Truth Tables
A table listing all possible combinations of boolean inputs and their corresponding outputs for a logical expression.