Time Complexity and Space Complexity | Mellow Academy
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Time Complexity and Space Complexity

Lesson 9/9 | Study Time: 118 Min
Course: Data Structures and Algorithms (DSA)
  • Understanding Big O Notation (1 Hour): Time complexity analysis of basic algorithms.

  • Space Complexity Considerations (1 Hour): Memory usage analysis, trade-offs between time and space.

  • Case Studies and Analysis (2 Hours): Analyzing the complexity of problems solved in previous sessions, and optimizing solutions.
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Class Sessions

1- Arrays 2- Linked Lists 3- Stacks and Queues 4- Trees and Graphs 5- Sorting and Searching Algorithms 6- Recursion and Dynamic Programming 7- Greedy Algorithms and Backtracking 8- Practice with LeetCode, HackerRank 9- Time Complexity and Space Complexity

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