Required Skills

Learning Objectives Identify and define at least four core problem-solving skills in computer science. Break down a complex problem into a sequence of smaller, manageable steps (Decomposition). Write pseudocode to plan a program before writing actual code. Apply a systematic debugging process to find and fix errors in a simple program. Recognize repeating patterns in a problem that can be solved with a loop. Explain how these required skills help in creating more complex programs with conditionals and loops. Have you ever tried to build a huge LEGO castle without instructions? 🏰 How do you even start? Let's learn the 'instructions' for building amazing code! In this lesson, we won't learn a new type of code block. Instead, we will learn the super-powere...

TermDefinitionExample DecompositionThe skill of breaking a big, difficult problem down into smaller, easier-to-solve pieces.Problem: 'Make a character jump over a wall.' Decomposition: 1. Detect when the jump button is pressed. 2. Make the character move up. 3. Make the character move back down. Pattern RecognitionThe skill of finding things that repeat or are similar in a problem. This helps you use loops.If you need to make a character lose 1 health point every time they touch lava, you recognize a pattern: 'touching lava always causes the same result.' This is perfect for an 'if' statement inside a game loop. AlgorithmA list of step-by-step instructions to solve a problem or complete a task.An algorithm for a guessing game: 1. Pick a secret number. 2. Ask...

The Decomposition Method Big Problem → Small Steps → Solve Each Step Use this whenever a new project feels too big or confusing. Break the goal into tiny, specific tasks. Write these tasks down as a to-do list before you write any code. The Debugging Cycle 1. Identify the Bug → 2. Hypothesize the Cause → 3. Test Your Idea → 4. Fix the Code Use this cycle when your code isn't working as expected. Don't just change things randomly. First, know exactly what's wrong. Guess what might be causing it. Make one change to test your guess. If it works, great! If not, undo the change and make a new hypothesis.