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Course 7 – Cambridge iGCSE Pseudocode Mastery & Algorithms

Overview

This 12-week course is tailored for Cambridge IGCSE learners who want to master pseudocode and algorithmic reasoning. Students will learn to write structured pseudocode, trace logic accurately, and design efficient algorithms for exam success. By the end of the course, learners will confidently tackle Cambridge-style questions and optimise their problem-solving approach.

12 Week Course

Our structured 12-week GCSE course builds confidence in theory, programming and exam technique in a focused small-group setting.

Effective rate: £45 per lesson over 24 structured lessons.

  • Max group of 5 students
  • Curriculum-aligned weekly lessons
  • Topic-based exam question practice
  • Revision tools and regular check-ins
  • Teacher feedback and progress updates

Detailed Week-by-Week Outline

Learning Objective: Understand exam expectations.

Activities: Review Cambridge IGCSE pseudocode standards and question formats.

Learning Objective: Write structured pseudocode.

Activities: Practise writing pseudocode for simple tasks, focusing on clarity and indentation.

Learning Objective: Handle data correctly.

Activities: Declare variables, manage input/output operations in pseudocode.

Learning Objective: Use IF/ELSE conditions.

Activities: Implement decision-making structures in pseudocode for real-world scenarios.

Learning Objective: Work with loops and counters.

Activities: Write FOR and WHILE loops, apply counters for repetitive tasks.

Learning Objective: Manipulate one- and two-dimensional arrays.

Activities: Store and retrieve data using arrays, practise nested loops for 2D arrays.

Learning Objective: Create reusable routines.

Activities: Define and call procedures, explore parameter passing and modular design.

Learning Objective: Design efficient pseudocode solutions.

Activities: Solve algorithmic problems using structured pseudocode and flowcharts.

Learning Objective: Simulate program execution.

Activities: Complete trace tables for given pseudocode, predict outputs accurately.

Learning Objective: Compare algorithm methods.

Activities: Implement bubble sort and linear search in pseudocode, analyse efficiency.

Learning Objective: Solve Cambridge-style questions.

Activities: Attempt past-paper questions under timed conditions, apply learned techniques.

Learning Objective: Complete mock and feedback.

Activities: Full mock exam with examiner-style feedback and personalised improvement plan.

Outcome:

Students will gain fluency in Cambridge-style pseudocode, strengthen algorithmic reasoning, and master trace tables and structured problem-solving. By the end of the course, learners will confidently design, trace, and optimise pseudocode solutions for top marks in Cambridge IGCSE exams.

Key Benefits:

  • Master Cambridge-specific pseudocode standards
  • Improve algorithmic thinking and problem-solving skills
  • Hands-on practice with past-paper style questions
  • Personalised feedback to maximise exam performance

Ready to master Cambridge pseudocode and algorithms? Enrol now for guaranteed progress!

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