2.1 Algorithms

In this module, we will uncover the principles and practices behind solving problems systematically using computational methods. Algorithms are at the heart of computer science, enabling us to tackle complex problems efficiently and logically.

This module begins with computational thinking, introducing concepts such as abstraction, decomposition, and algorithmic thinking. These skills help you to break down problems, identify patterns, and design structured solutions.

Next, you’ll explore the process of designing, creating, and refining algorithms, using tools like pseudocode, flowcharts, and structure diagrams. You’ll learn to identify errors, work with trace tables, and understand how inputs, processes, and outputs interact within an algorithm.

Finally, we’ll delve into searching and sorting algorithms, exploring techniques like Binary Search, Linear Search, Bubble Sort, Merge Sort, and Insertion Sort. You’ll not only understand how these algorithms work but also apply them to datasets and learn to recognise their patterns in code or pseudocode.