## Problem Solving Using Computational Thinking Coursera Week 2

Week- 2

Airport Surveillance CaseStudy Quiz

1.
Question 1
Identifying suspicious behavior at an airport is a complex problem. In this case study, what was one strategy for decomposing this problem into a smaller, more manageable problem?

1 point

• Design an algorithm that counts how often luggage is left unattended.
• Use machine learning to track which parts of the airport is the busiest.
• Design an algorithm that can differentiate between airport staff and travelers.
• Define a specific type of suspicious behavior in quantifiable terms.

2.
Question 2
When designing an algorithm that will detect unattended luggage, what kind of information would likely NOT be ?relevant to this problem?

1 point

• The length of time luggage has been left unattended.
• Whether a piece of luggage is idle or moving.
• The distance between attended luggage and its owner.
• The types of clothing people in an airport are wearing.

3.
Question 3
Using the following algorithm, what would happen if the luggage in one video frame is not seen in the next frame?

1 point

• The algorithm checks to see how long the luggage has been moving.
• The algorithm generates a warning.
• No warning is given, and the algorithm checks if there are more objects to categorize in the frame.
• The algorithm checks to see if the luggage is accompanied by a human.

4.
Question 4
Since computer-based solutions require questions that are specific and quantifiable, which one of the following questions is most appropriate for a computer-based solution?

1 point

• What kind of luggage is the most aesthetically pleasing?
• What kind of behavior is suspicious?
• How many people have entered the airport in the past two hours?
• Why is flying better than driving a car?

5.
Question 5
What is an algorithm? Choose the best answer:

1 point

• The process of identifying parts of a problem that can be ignored when approaching a problem.
• The process of identifying patterns that can lead you to a potential solution.
• The breaking down of a large, complex problem, into smaller more manageable problem.
• A process or defined set of rules used by a computer for solving an identified problem.

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