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

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):

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