Below is the true statement about computational thinking, except ...

• Computational thinking can be learned without a machine

• Computational thinking consists of decomposition, pattern recognition, abstraction and algorithm

• Computational thinking is involved in formulating a problem and expressing its solutions

• Computational thinking is used only to create program or apps for machine

The basic aspect for the following problem decomposition is ...

• Process

• Idea

• Functional

• System

Searching the similarities or differences in characteristics from various given data can be categorized as steps to computational thinking which is ...

• Pattern Recognition

• Decomposition

• Generalization

• Abstraction

The use of eyes and mouth as identifier for taking photo in smile shutter detector is categorized as...

• Abstraction

• Algorithm

• Pattern Recognition

• Generalization

One of the process in making google maps omitting the name of streets when zooming can be categorized as…

• Algorithm

• Decomposition

• Pattern Recognition

• Abstraction

Which of the following statements isn’t true about problem decomposition?

• Decomposition is making all the sub problems merge into a big problem

• Decomposition can be done on different aspects and stages

• Decomposition is defining process needed to solve a problem

• Decomposition has a purpose to solve the smaller sub problem separately first

What set of alphabets suit as the code in the missing 3rd line?

• bodiao

• bociaiao

• aoaoaiaiaiaiao

• boaociio

Which not decomposition strategy ?

• Divide and Conquer Decomposition

• Means-End Decomposition

• Bottom-up Decomposition

• End-game Decomposition

What is not Abstraction ?

• Simplifies the problem

• Removing Unnecessary details from a problem

• Focusing the detail that matter and ignoring the detail that matter most

• A generalized version of a problem

Customers who bought smartphone from online shops during the outbreak, usually will buy again from online shop in the future. This example is the application of:

• Decomposition

• Abstraction

• Multiplication

• Pattern Recognition