Introduction to Computational Thinking

The goal of Computational Thinking is to help you:

• Fix Computers

• Understand Code

• Solve Complex Problems

• Collect Data

Which of the following is an example of a Computational Thinking strategy?

• Decomposition

• Pattern Recognition / Pattern Matching

• Abstraction

• Algorithm Design

Which Computational Thinking strategies are required to be used in EVERY problem?

• Decomposition and Abstraction

• Pattern Recognition and Algorithm Design

• All Strategies Must Be Used in Every Problem

• No One Strategy Must Be Used in Every Problem

Each iteration of a problem should______ the previous iteration.

• Copy

• Ignore

• Build On

• Complicate

Data can help you determine:

• Which strategies to use.

• The order to use the strategies.

• How often to repeat the strategies.

• All of the Above.

Breaking down a year's worth of daily temperature data by monthly average is an example of:

• Decomposition

• Pattern Recognition

• Abstraction

• Algorithm Design

Noticing that your candy supply decreases every time a certain friend comes over is an example of:

• Decomposition

• Pattern Recognition

• Abstraction

• Algorithm Design

What is an Algorithm?

• A list of steps to complete a task.

• What is used to make a computer work.

• When you look for similarities between different parts of a problem.

• Breaking a problem down into smaller, more manageable pieces.

Designing an algorithm is most similar to:

• Filling a Toolbox

• Writing and Instruction Manual

• Conducting an Interview

• Cleaning Your Room

Which of the following is an example of thinking computationally?

• Planning the route to meet your friend.

• Wandering around until you meet your friend.

• Asking a parent to plan your route for you in order to find your friend.