Welcome Additional Learning

Welcome to Class 6 - COMPUTATIONAL THINKING and AI. This Mathematics course will help you understand important ideas, see how they work in the world around you, and practise using them through examples, activities and questions.

Why this subject is important

  • It is one of the most important skills in computational thinking, and it is also the very first step that machines take when they are taught to “recognise” something — whether that is a face in a photograph, a fraudulent bank transaction, or your voice giving a command to a smart speaker.
  • Patterns generally fall into a few broad families, and it helps to know their names, because mathematicians and computer scientists use this vocabulary constantly:
  • A useful first habit is to look for structure using a grid, since a grid often makes a hidden pattern leap out at you visually in a way that a plain list of numbers does not.
  • This is an important lesson about patterns: a rule that looks simple, such as “double it,” can produce results that our intuition badly underestimates.

From Your Textbook

Real-world applications

  • Third, we use that rule to Predict the next term, or any term further along the sequence.
  • It is worth pausing, before we close this chapter, to look outward from the notebook page and notice how often the patterns we have just studied appear unprompted in the world around us.
  • As a class, combine everyone's results into a single chart and discuss why some everyday objects might be designed close to this ratio, and why others are not.

From Your Textbook

Connect to your everyday life Additional Learning

  • Before you start "Chapter 1 - Patterns in Mathematics", write down one thing you already know about it and one question you would like answered.

Chapters in this course

  1. Chapter 1 - Patterns in Mathematics — Shrinking patterns, where each term becomes smaller according to a rule, such as 100, 90, 80, 70.

What you should know before you start

You should be comfortable with the Mathematics you studied in earlier classes. Revise it if you are unsure. Additional Learning

How to use this course

  1. Work through the chapters in order. Each chapter builds on the previous one.
  2. Read every lesson page completely: the explanation, examples, diagrams and important points.
  3. Answer the "Check your understanding" questions at the end of each lesson.
  4. Complete the Practice and Review page of each chapter, then check your answers with your teacher.
  5. Submit the chapter assignment by the due date.
  6. Take the chapter quiz to check what you have learnt.
  7. At the end, use the Final Course Review to revise and complete the Final Project.

Welcome to your learning journey Extra Practice

Welcome to Class 6 Computational Thinking and AI! Have you ever noticed the beautiful rangoli designs at your doorstep during festivals, the way your school timetable repeats every week, or how a traffic signal cycles through red, green, and amber? All of these are patterns — arrangements that follow a rule so you can predict what comes next. In this course, we'll explore the magic of patterns in numbers, shapes, and everyday life, and discover how this very skill helps computers recognize faces, detect fraud, and understand your voice commands. Get ready to become a pattern detective!

Why this subject matters

Pattern recognition is one of the most powerful tools in mathematics and computational thinking. Long before formal math existed, humans used patterns to track the moon, weave cloth, compose music, and build strong walls. Today, it's the first step machines take when they learn to "recognize" things — from your face in a photo to a suspicious bank transaction. By learning to spot, describe, and extend patterns, you're not just doing math — you're training your brain to think like a computer scientist!

Where you will use this learning

  • Rangoli designs made of dots and lines arranged in symmetric patterns
  • School timetables that repeat the same subjects on the same days each week
  • Traffic signals cycling through red, green, and amber in a fixed order
  • Phases of the moon tracked by ancient civilizations
  • Weaving patterns in cloth and rhythms in music
  • Brick walls built with a rule (like one less brick per row)

Your learning journey

  • Chapter 1 - Patterns in Mathematics: We'll start by exploring what makes something a pattern (it's all about the rule!). You'll discover number patterns like triangular numbers (1, 3, 6, 10...), square numbers (1, 4, 9, 16...), cube numbers, the doubling pattern, and the fascinating Virahanka (Fibonacci-style) numbers. You'll learn to represent patterns with dots, shapes, grids, and tables, uncover hidden connections in Pascal's Triangle, and even meet the golden ratio. Most importantly, you'll practice the pattern-thinking process: observe, describe the rule, and predict what comes next — just like a computer does!

How to succeed in this course

  1. Keep a pattern journal: sketch or write down patterns you notice around you (tiles, schedules, nature, music).
  2. Practice describing rules in your own words — both term-to-term (how to get the next one) and position-to-term (a formula for any position).
  3. Use drawings, dots, and grids to visualize patterns; they make hidden structures visible.
  4. Don't worry if a pattern isn't obvious at first — computational thinking is about trying, revising, and trying again.
  5. Ask "What if?" questions: What if the rule changes? What if we start with a different number?

A message for you Extra Practice

You already have a superpower: your brain is wired to spot patterns. This course will help you sharpen that skill and see the world — and the future of technology — in a whole new way. Let's begin this adventure together!

“From Your Textbook” identifies material taken from the uploaded textbook or source document. “Additional Learning” identifies explanations and learning support added by the course generator. Please review generated material before publishing.

Last modified: Wednesday, 4 November 2026, 9:37 PM