The Big Question in Computational thinking

How do we think about problems in a way which makes them solvable for a computer?

Description and resources for Computational thinking

Computational thinking asks us to "think about a problem in a way it could be solved by a computer".

Our big questions (used with gratitude from wikipedia):

  1. How do we use abstractions and pattern recognition to represent the problem in new and different ways?
  2. How do we logically organize and analyze data?
  3. How can we break the problem down into smaller parts?
  4. How do we approach the problem using programmatic thinking techniques such as iteration, symbolic representation, and logical operations?
  5. What is the best way to reformulate the problem into a series of ordered steps (algorithmic thinking)?
  6. How do we identify, analyze, and implement possible solutions with the goal of achieving the most efficient and effective combination of steps and resources?
  7. How do we generalize this problem-solving process to a wide variety of problems?