In this blog you will find the correct answer of the Coursera quiz Problem Solving Using Computational Thinking Coursera Week 3 mixsaver always try to brings best blogs and best coupon codes
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.
Important Links:
- Problem Solving Using Computational Thinking Coursera Week 1 Quiz
- Problem Solving Using Computational Thinking Coursera Week 2 Quiz
- Problem Solving Using Computational Thinking Coursera Week 3 Quiz
- Problem Solving Using Computational Thinking Coursera Week 4 Quiz