Practice Prof. Madhavan Mukund (17.1.1) - Insertion Sort - Data Structures and Algorithms in Python
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Prof. Madhavan Mukund

Practice - Prof. Madhavan Mukund

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary purpose of Insertion Sort?

💡 Hint: Think about how you would arrange a stack of papers.

Question 2 Easy

List one situation where Insertion Sort is most efficient.

💡 Hint: Recall the examples discussed about sorted lists.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the worst-case time complexity for Insertion Sort?

O(n)
O(n log n)
O(n^2)

💡 Hint: Recall the general characteristics of sorting algorithms.

Question 2

Insertion Sort is efficient when the input list is:

True
False

💡 Hint: Think about how elements are moved in an already sorted list.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have an array of ten random integers: [9, 3, 1, 5, 6, 8, 2, 4, 7, 0]. Implement the Insertion Sort algorithm to sort it.

💡 Hint: Iterate through the list and compare at each step as you implement the insert operation.

Challenge 2 Hard

Discuss how Insertion Sort performance changes with larger datasets compared to smaller datasets. Provide your observations.

💡 Hint: Consider scenarios where you might prefer using different sorting algorithms when approaching larger datasets.

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