Four-Pillars-of-Computational-Thinking

Four pillars of Computational Thinking

Four pillars of Computational Thinking

Cesar Alvarado Cervantes

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"No problem can be solved from the same level of consciousness that created it" - A. Einstein

Pillars

1. Decomposition: Break down the problem into smaller problems/parts. 2. Abstraction: Focusing on the important information only. 3. Logic/Pattern Recognition: Looking for similarities, past experience. 4. Algorithm: Step by step solution.

Exersize:Flat Tire

Exersize:Flat Tire

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What is needed to solve it?

How can it be solved?

What is the problem?

Decomposition:

"Where can I get tools?"

"Do I have the tools?"

"Do I have enough fuel?"

Abstraction:

"Am I going to be late?"

FOCUS ON THE MAIN PROBLEM

Find previous pattern for future risk solving

Pattern Recognition:

This happened to me before

How can it be compared

I know someone that can help me

Get as many information as you can

It is the second time this happen

My father taught me

Experience will help to find solutions

Tighten the nuts.

Lower the car.

Screw the nuts without tightening them.

Place the spare tire.

Remove the flat tire.

Remove the wheel nuts.

Lift the car using the jack.

Loosen the wheel nuts with the socket wrench.

Get the tools you need.

Get the car to a safe spot so you can work.

Algorithm:

What is the correct order of steps to follow?

Activity:Four Pillars

Activity:Four Pillars

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