Computational Thinking

Computational Thinking

1. Thinking Ahead

   • Identify inputs and outputs
   • Determine preconditions for solving problem
   • What parts of the program can you reuse?
   • Benefits and drawbacks of using cache memory

2. Thinking Logically

   • Identifying points where a decision is made
   • Logical conditions that determine outcome
   • How decisions affect flow of program
     • If...Then...Else
     • While, For loops
     • Switch case

3. Thinking Procedurally

   • Problem decomposition
   • Identifying components of solution
   • Determining the order of steps needed
   • Use of hierarchy charts or class diagrams

4. Thinking Abstractly

   • Any computer model is an abstraction
   • What properties to take in to account
   • Removing unnecessary details
   • Examples: London Underground map

5. Thinking Concurrently

   • Which tasks can be tackled at same time
   • Benefits and trade-offs of this
     • Increased throughput
     • Time wasted waiting spent on another task
     • Programs could take longer to complete

Bilder und Dateien der Mindmap