1.4.1 - Background in Programming
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Practice Questions
Test your understanding with targeted questions
What is an algorithm?
💡 Hint: Think about how you would give directions to someone.
What does Big O notation describe?
💡 Hint: Remember it relates to efficiency.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Big O notation measure?
💡 Hint: Think about how we compare algorithms.
True or False: Greedy algorithms always find the optimal solution.
💡 Hint: Consider scenarios with conflicting choices.
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Challenge Problems
Push your limits with advanced challenges
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.
Create a dynamic programming algorithm for the Fibonacci sequence and explain how it optimizes recursive computation.
💡 Hint: Consider how overlapping subproblems can be reused.
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Reference links
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