Algorithmic Thinking Components
An algorithm is basically a recipe for solving problems - a clear sequence of steps that gets you from start to finish. Algorithmic thinking is your ability to create these step-by-step solutions.
When you're building algorithms, you've got five key ingredients to work with. Functional decomposition splits problems into separate chunks that each do one job (like individual functions). Selection lets your algorithm make decisions based on different conditions - think "if this, then that."
Repetition handles the boring stuff by repeating code sections automatically. Data structures organise your information using arrays, lists, and records. Finally, parameters set the rules for what inputs your algorithm can handle - like specifying that numbers must be positive whole numbers.
Pseudocode is your best mate for planning algorithms. It looks like real programming but uses plain English, making it dead easy to map out your logic before diving into actual code.
Remember: Pseudocode is like writing a rough draft - it helps you think through the problem without worrying about perfect syntax!