1.6.6 - Week 6: Search Trees and Greedy Algorithms
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is a binary search tree? Provide a brief definition.
💡 Hint: Think about the structure and purpose of search trees.
Describe a greedy algorithm.
💡 Hint: Consider how immediate benefits can lead to a solution.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the time complexity for searching an element in a balanced binary search tree?
💡 Hint: Consider how tree height affects operations.
True or False: Greedy algorithms always produce the optimal solution.
💡 Hint: Think about scenarios where local choices do not yield the best overall result.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Create a balanced binary search tree by inserting the following numbers in the stated order: 30, 20, 10, 40, 50. Explain the balancing process if needed.
💡 Hint: Consider how you might rotate nodes to keep the tree balanced.
Identify a scenario where a greedy algorithm fails to optimize effectively and describe an alternative solution.
💡 Hint: Think about how different routes can connect and compare their total costs.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.