Computational Thinking is important : Why ?

Computational Thinking is used in all the aspects of 21st century functioning. In present times, this skill has become a necessity to solve problems. Computational Thinking is capable of solving problems of practical life. Let's know about it in detail - 

What  is Computational Thinking ?

Computational thinking seems complicated, but we use computational thinking every day. Suppose you have to buy a car or want to change your career. In the process of planning and to achieve these goals we have to use computational thinking. Under planning you break the problems into pieces and try to reach to your goal with many different solutions. The programmers solve problems with computers, therefore computational thinking is about understanding complex problems. It breaks larger problems into a series of manageable problems.

Principles and the main Techniques :

There are four principles of Computational Thinking :

• Decomposition
• Pattern Recognition
• Abstraction
• Algorithms 

1). Decomposition :

In this process, the larger problem is divided into smaller and easier pieces. These small problems are solved one by one until the more complex problem is solved. It is difficult to deal with different aspects of the big problem together. It is if you break the problem into smaller problems, then solving the problem at once and solving the big problem. If we break the problem into smaller problems, then solving one part at a time, ultimately solves the larger problem.

2). Pattern Recognition :

When you divide a complex problem into pieces and focus only on the important things, the next step is to see what similarities exist there, hence identifying the patterns and find out what kind of common pattern is there in the given problems. It helps you a lot in solving problems and you are able to solve complex problems effectively.

3). Abstraction :

This process focuses on important information and ignores the non-essential information. In order to reach a solution, we should divert attention from the non-essential things. We should find out what important information we have to focus on. Instead of a specific detail, the general properties of each element are taken care of. This model tells us how to solve a particular problem.

4). Algorithms :

Now you have broken the big problem into smaller and easier problems, and have identified the similarities in these. You are just focusing on the necessary details. Now it's the time to develop step by step guidelines to solve each of these small problems. These are the rules that will be used in solving the problems. These simple steps are used in computer programming to solve a complex problem. These are called algorithms.

In simple words, Algorithm is a step by step process to solve a complex problem.

Use of Flowcharts : 

Flow charts offer a better way of presenting the algorithms. It is a kind of diagram that presents an algorithm workflow or process and represents the steps in a box of different sorts, connected by arrows. This diagrammatic presentation is a solution model of the given problem. 

Evaluation of Solution :

Another step to get a solution to a big problem with computational thinking is the evaluation of the solution also. When reaching a solution by computational thinking, the solution must be evaluated beforehand. The evaluation of the solution helps to catch the mistakes present in the algorithm. If you do not do this, you will not be able to solve the problem properly or the way of solving the problem will not be the best.

Programmers have to think about each problem in such a way that the computer can understand them easily, so computational thinking becomes a necessary skill set for them.In computational thinking, programmers break down any problem into pieces and then detects patterns in the data. They recognize the essential aspects of assignments and focus on them. 

Tell us in the comments, what else programmer does ??