Course Content
1.1 Systems Architecture
1.2 Memory and Storage
1.3 Computer Network, Connections and Protocols
1.4 Network Security
1.5 Systems Software
1.6 Ethical, Legal, Cultural and Environmental Impacts of Digital Technology
2.2 Programming Fundamentals
2.3 Producing Robust Programs
2.4 Boolean Logic
2.5 Programming Languages and Integrated Development Environments
GCSE Computer Science – OCR (Copy 1)
About Lesson

1. Algorithm

An algorithm is a clear, concise, and effective procedure for achieving a certain outcome or solving a specific problem. Think of it like a recipe for cooking a dish. It provides a step-by-step guide to get from your raw ingredients (the input) to your finished meal (the output).

In the world of programming, an algorithm might be a series of instructions to calculate the average of a set of numbers. Here’s an example in Python:

def calculate_average(numbers):
    total = sum(numbers)
    count = len(numbers)
    return total / count

numbers = [4, 2, 9, 6, 5]
print(calculate_average(numbers))  # Output: 5.2

    public boolean isFull(){
        boolean full = false;
        // case 1 --> front = 0 && rear = size - 1
        if (front == 0 && rear == size - 1)
            full = true;
        else if (front == rear + 1)
            full = true;
        return full;

Decomposition involves breaking down a large or complex problem into smaller, more manageable parts. It’s like solving a big jigsaw puzzle by focusing on smaller sections one at a time.

In programming, we might decompose the task of creating a digital clock into smaller tasks like getting the current time, formatting the time into hours, minutes, and seconds, and displaying the time. Here’s an example in Python of a program decomposed into smaller functions:


Exercise Files
linear and binary seach worksheet.pdf
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