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# What is computational thinking and problem solving?

## What is computational thinking and problem solving?

Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. By the end of the course, you will be able to develop an algorithm and express it to the computer by writing a simple Python program.

## What is the difference between protected and private access specifiers in inheritance?

The class members declared as private can be accessed only by the functions inside the class. The class member declared as Protected are inaccessible outside the class but they can be accessed by any subclass(derived class) of that class.

Is class a real abstraction?

Explanation: Class is logical abstraction because it provides a logical structure for all of its objects.

### Which data members can be inherited but are private to a class?

Which data members can be inherited but are private to a class? Explanation: Static members inheritance also depends on the type of specifier they have. Only the protected members can be inherited but remain private to class.

### Who created computational thinking?

Jeannette Wing

What is computational thinking and coding?

Computational thinking is the step that comes before programming. It’s the process of breaking down a problem into simple enough steps that even a computer would understand.

#### What are the 4 problem solving steps?

Polya created his famous four-step process for problem solving, which is used all over to aid people in problem solving:

• Step 1: Understand the problem.
• Step 2: Devise a plan (translate).
• Step 3: Carry out the plan (solve).
• Step 4: Look back (check and interpret).

#### Why do we need to think computationally?

Computational thinking enables you to work out exactly what to tell the computer to do. In this case, the planning part is like computational thinking, and following the directions is like programming. Being able to turn a complex problem into one we can easily understand is a skill that is extremely useful.

How can I improve my computational thinking?

BBC outlines four cornerstones of computational thinking: decomposition, pattern recognition, abstraction, and algorithms. Decomposition invites students to break down complex problems into smaller, simpler problems. Pattern recognition guides students to make connections between similar problems and experience.

## What is the difference between computational thinking and programming?

What is Computational Thinking, and how does it differ from Coding and Computer Science — especially when it comes to classroom practice and instruction? Whereas computer science is about solving problems using computers, coding (or programming) is about implementing these solutions.

## Is coding computational thinking?

“Coding and computational thinking are not synonymous.” For those unfamiliar with the concept, you might want to immediately label it as coding (or, more appropriately, programming), but it goes beyond the action of writing code. As Stephen Wolfram candidly puts it, “’Coding’ isn’t the same as computational thinking.