Computational Thinking

The goal of computational thinking is to help you:

• Fix computers

• Understand code

• Solve problems

• Collect data

Which CT strategies are always required for every problem?

• Decomposition and abstraction

• Pattern recognition and algorithm design

• All of them

• None of them

Each iteration of a problem should _____ the previous iteration.

• Copt

• Ignore

• Build on

• Complicate

Data can help you determine:

• Which strategies to use

• The order of strategies

• How often to repeat strategies

• All of the above

What is an example of quantitative data on a group of students?

• Height

• Pets

• Hobbies

• Personality

What is an example of qualitative data?

• The number of students taking a test

• The material covered by the test

• How many questions there are

• The student's test scores

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

Designing an algorithm is most similar to:

• Filling a toolbox

• Writing an instruction manual

• Conducting an interview

• Cleaning your room

Abstraction _____ a problem by _____ distracting details.

• Breaks down; adding

• Organizes; sorting

• Solves; analyzing

• Simplifies; removing