Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is dynamic programming?
π‘ Hint: Think about whether problems have overlapping solutions.
Question 2
Easy
Define recursion in your own words.
π‘ Hint: It's about function calls within themselves.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which algorithm guarantees an optimal solution?
π‘ Hint: Think of the definition of each approach.
Question 2
True or False: Greedy algorithms do not guarantee an optimal solution.
π‘ Hint: Recall the greedy approach focus.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design an algorithm using dynamic programming to solve the 0/1 Knapsack problem. Explain your approach and why you chose DP.
π‘ Hint: Focus on overlapping subproblems.
Question 2
Create a greedy algorithm for job scheduling. Discuss scenarios where this approach might fail.
π‘ Hint: Think about global optimum vs local best.
Challenge and get performance evaluation