O-Level & G3 Computing Tuition Camp | Jun 3-Day Holiday Camp Singapore

Across 3 structured sessions, students practise the three key types of programming questions commonly tested in Computing exams: refinement, debugging and program development. With guided exercises and targeted support, they learn how to approach questions methodically, avoid common mistakes and write clearer, more effective Python solutions.

This programme is not just extra practice. It is valuable because it helps students:

• strengthen Python programming in an exam-relevant way
• understand how to approach the main Computing question types
• improve accuracy, logic and problem-solving under assessment conditions
• build confidence in debugging and fixing mistakes independently
• develop a more methodical and less panicked approach to programming
  questions
• gain targeted support in areas that often affect grades

Day 1 – Refinement and Writing Better Python Solutions

Students focus on refinement questions, where they learn how to improve or complete existing code accurately and efficiently. They practise reading code carefully, understanding the problem requirement and making precise changes.

They will learn to:

• understand what refinement questions are testing
• improve existing Python code
• identify missing logic or incomplete solutions
• write clearer and more accurate code

This helps students build the discipline needed for exam success. They learn to read
questions carefully, think step by step and make purposeful improvements rather than guessing.

Key concepts: code refinement, accuracy, step-by-step thinking, logical reasoning, exam technique

Day 2 – Debugging and Finding Errors

Students focus on debugging questions, learning how to identify syntax, logic and runtime errors in Python programs. They practise spotting mistakes, understanding why they happen and fixing them systematically.

They will learn to:

• identify common Python errors
• understand why code fails
• fix syntax and logic mistakes
• debug programs in a structured way

This strengthens analytical thinking and resilience. Instead of getting stuck when code does not work, students learn a calm and systematic approach to diagnosing problems, an essential skill for both exams and real programming.

Key concepts: debugging, error analysis, resilience, systematic thinking, problem-solving

Day 3 – Developing Full Program Solutions

Students focus on development questions, where they write complete Python programs based on a given task. They practise planning their solution, structuring their code and checking that it meets the question requirements.

They will learn to:

• analyse a question before coding
• break a larger task into smaller steps
• write complete Python solutions
• review and improve their answers

This helps students build confidence in handling longer and more demanding exam questions. It also develops useful habits for school and beyond: planning before acting, checking work carefully and communicating logic clearly through code.

Key concepts:
program development, problem decomposition, planning, code structure, confidence building