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Last updated

6 November 2026

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docx, 134.52 KB

Debugging Mastery Workbook – OCR GCSE Computer Science J277

Develop confident programmers with this comprehensive Debugging Mastery Workbook, created by SiliconScholar for OCR GCSE Computer Science (J277).

This practical workbook contains 60 Python debugging programs designed to help students identify, understand and correct common programming errors.

Through progressively challenging exercises, students will develop essential debugging techniques, improve their understanding of Python syntax and logic, and strengthen their computational thinking and problem-solving abilities.

Whether used in classroom lessons, homework assignments or independent revision, this resource provides structured opportunities for students to practise real programming skills.

What’s Included?

60 Python Debugging Programs: A wide range of carefully structured debugging challenges.

Editable Workbook: Modify questions, adapt exercises and customise activities to suit your students.

Complete Answers: Fully corrected Python programs with solutions.

Error Identification Exercises: Students identify and locate programming mistakes.

Step-by-Step Corrections: Understand why errors occur and how to fix them.

Progressive Difficulty: Exercises ranging from beginner to more challenging programming scenarios.

Teacher Reference Material: Complete solutions to support marking and classroom delivery.

Topics Covered

  1. Syntax Errors

Missing colons and brackets.

Incorrect indentation.

Invalid variable names.

Incorrect quotation marks.

Missing operators.

  1. Logical Errors

Incorrect calculations.

Wrong comparison operators.

Incorrect conditional statements.

Faulty algorithm logic.

Unexpected program outputs.

  1. Selection and Iteration

IF, ELIF and ELSE errors.

FOR loop mistakes.

WHILE loop conditions.

Nested loop errors.

Incorrect loop counters.

  1. Variables and Data Types

Incorrect variable assignments.

Type conversion errors.

String and integer operations.

Boolean logic mistakes.

Uninitialised variables.

  1. Lists and Data Handling

Indexing errors.

Incorrect list operations.

Searching and sorting mistakes.

Data manipulation errors.

  1. Functions and Modular Programming

Incorrect function definitions.

Missing parameters.

Incorrect return statements.

Scope-related mistakes.

Function calling errors.

Learning Objectives

By completing this workbook, students will be able to:

Identify common Python programming errors.

Differentiate between syntax, runtime and logical errors.

Analyse faulty code systematically.

Correct errors and produce working programs.

Understand why a particular solution is incorrect.

Develop independent debugging strategies.

Improve programming accuracy and confidence.

Apply debugging techniques to examination-style problems.

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