It is more than a problem-solving skill; in many contexts it can be useful both personally and
professionally, which is why it is a necessary skill for anyone to develop.
Want to know more about this? Keep reading this article!
What is computational thinking?
Jeannette M. Wing, a professor at the usa telegram data Department of Computer Science at
Carnegie Mellon University in the United States, was one of the first specialists to use the term
computational thinking.
He did this by wanting to describe how a computer scientist thinks and how beneficial it is for
everyone to think this way.
She defined it as follows:
“…the thought process involved in formulating a problem and its solutions so that they are represented in a form that can be conveyed to an information processing agent.”
In other words, it is the mental process through which a person considers a problem and,
What are the pillars of computational thinking?
Computational thinking has four principles, which are:
1. Breaking down a problem into smaller phases
It consists of breaking down a complex ultimate guide to business wifi in japan system or problem into smaller parts so that they are easier to solve.
Each small problem will be solved one after another until the entire system is solved.
2. Recognition of repetitive patterns
Once you have broken down the complex cyb directory problem into smaller ones, look for common feature standards.
Finding these similarities in small decomposed problems will help you solve the system more efficiently.
3. Abstraction of information irrelevant to the proposed problem
Abstraction refers to focusing on the important information, leaving aside irrelevant and unnecessary features.
But what is important information? In abstraction it is mainly about the general characteristics that are common to each element, rather than specific details .
After having these general characteristics, one must proceed to create a “model” of the problem, which is the general idea of the problem that one is trying to solve.
4. Written algorithms presented for solving the problem
After breaking down the big problem into several smaller ones, identify the similarities between them, focus on the relevant details and leave behind any irrelevant information.
So, the time has come to develop step-by-step instructions or lay out the rules to follow to solve each of these problems through computer programming, that is, creating the algorithms .
These algorithms can be created through flowcharts or using pseudocodes .
However, keep in mind that an algorithm is a plan, a set of step-by-step instructions for solving a problem and does not always involve complicated feats of programming , but can be used in complex external systems.