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Course 1 – Paper 1 – Computer Systems

Overview

This 12-week course is designed to develop coding, algorithmic design, and problem-solving proficiency for Paper 2 across all boards. Students will master computational thinking, learn to write and debug Python programs, and apply pseudocode effectively. By the end of the course, learners will feel confident tackling structured and unstructured exam-style questions with speed and accuracy.

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

  • 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: Develop decomposition and abstraction techniques.

Activities: Break down complex problems into smaller steps, practice abstraction with real-world examples.

Learning Objective: Design algorithms using clear logical steps.

Activities: Create flowcharts for sample problems, write pseudocode for algorithmic tasks.

Learning Objective: Learn syntax, data types, and operators in Python.

Activities: Hands-on coding exercises introducing Python syntax and variables.

Learning Objective: Apply IF statements and nested conditions.

Activities: Implement decision-making in Python using IF, ELIF, ELSE statements.

Learning Objective: Use FOR and WHILE loops to repeat tasks.

Activities: Write programs using loops for repetitive tasks and pattern generation.

Learning Objective: Create reusable functions and procedures.

Activities: Define and call functions, explore parameter passing and return values.

Learning Objective: Store and manipulate data effectively.

Activities: Perform operations on lists and strings, slicing, and concatenation.

Learning Objective: Read and write external files with validation.

Activities: Build programs that read from and write to text files, handle errors gracefully.

Learning Objective: Identify and fix errors efficiently.

Activities: Debug faulty code, apply systematic testing strategies.

Learning Objective: Work on Paper 2 structured questions.

Activities: Solve past-paper questions under guided conditions.

Learning Objective: Timed algorithmic challenge sessions.

Activities: Complete timed coding challenges simulating exam conditions.

Learning Objective: Mock paper review and targeted improvement plan.

Activities: Analyse mock exam performance, create personalized improvement strategies.

Key Benefits:

  • Small groups for personalized attention
  • Expert instructors with industry experience
  • Continuous progress tracking and actionable feedback
  • Exam technique integration for top grades

Ready to give your child the edge? Enroll now for guaranteed progress!

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