Practice Background in Programming - 1.4.1 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.4.1 - Background in Programming

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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 how you would give directions to someone.

Question 2

Easy

What does Big O notation describe?

💡 Hint: Remember it relates to efficiency.

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 does Big O notation measure?

  • The exact time taken by an algorithm
  • The growth rate of an algorithm's efficiency
  • The memory usage of an algorithm

💡 Hint: Think about how we compare algorithms.

Question 2

True or False: Greedy algorithms always find the optimal solution.

  • True
  • False

💡 Hint: Consider scenarios with conflicting choices.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an algorithm for sorting an array of integers and analyze its time complexity using Big O notation.

💡 Hint: Think about how you would break down sorting.

Question 2

Create a dynamic programming algorithm for the Fibonacci sequence and explain how it optimizes recursive computation.

💡 Hint: Consider how overlapping subproblems can be reused.

Challenge and get performance evaluation