Practice Topics to be Covered in the Course - 1.5 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.5 - Topics to be Covered in the Course

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is an algorithm?

💡 Hint: Think about what defines a process or method.

Question 2

Easy

What does O(n) complexity signify?

💡 Hint: Consider the meaning of linear growth in mathematics.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary goal of an algorithm?

  • To generate random numbers
  • To perform a specific task
  • To organize data

💡 Hint: Think about the common features of processes.

Question 2

True or False: All algorithms have an efficient solution.

  • True
  • False

💡 Hint: Consider examples of problems intractable by common methods.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Craft a dynamic programming solution for the longest common subsequence problem and detail your approach.

💡 Hint: Think about how you can build upon previously computed results.

Question 2

Develop a divide-and-conquer algorithm to calculate the median of two sorted arrays.

💡 Hint: Keep in mind how the median is defined in an ordered dataset.

Challenge and get performance evaluation