Aug 19th - AI Test 6th Period

Q.

Computational thinking is the ability to solve problems by learning to think like a computer or a computer scientist. This involves analyzing a complex problem, developing possible solutions to the problem, and formatting the solutions so that they can be carried out by a computer (or a human). Which example is the "best" plan to solve a problem?

• 1. Create your Algorithm, 2. Look for trends, 3.Remove unnecessary parts, 4. Make sure you chunked the problem

• 1. Break down the problem into smaller parts. 2. Look for trends, 3.Create an Algorithm, 4. Finally, remember to remove unnecessary parts.

• 1. Break down the problem into smaller parts. 2. Look for trends, 3.Remove unnecessary parts, 4. Write steps/directions to solve problem.

Q.

When discussing computational thinking skills: When you remove unnecessary details or parts that don't help you solve the problem.

• Pattern Recognition

• Algorithm creation

• Abstraction

• Decomposition

Q.

When discussing computational thinking skills: Looking for similarities & trends refers to...

• Pattern Recognition

• Algorithm creation

• Abstraction

• Decomposition

Q.

When discussing computational thinking skills: Decomposition means....

• Looking for patterns

• Breaking the problem into smaller chunks.

• Removing unnecessary parts

• Writing a set of rules or directions

Writing down steps/directions to solve the problem......

• Decomposition

• Pattern Recognition

• Algorithm creation

• Abstraction

Identify the four core components of computational thinking.....

• Algorithm, Decomposition, Abstraction, Pattern Recognition

• Pattern, Decomposition, Abstraction, Instructions

• Subtraction, Pattern Recognition, Decompose, Algorithm

• Separate, Instructions, Pattern, Decomposition

Recognizing ______ in data is an important part of Machine Language

• Text

• Images

• Patterns

• Visual

When a computer can be taught to recognize patterns:

• Machine Learning

• Robot

• software applications

• Programs

The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

• Software Program

• Artificial Intelligence

• Voice Recognition

• Visual Behavior