Programming
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  1. Asymptotic Notation - O(), o(), Ω(), ω(), and θ()

  2. Big Oh Notation (O)

  3. Big Omega (Ω) and Big Thera (θ) Notation

  4. Little Oh Notation (o)

  5. Amortized Complexity

  6. Graph and its representations

  7. Depth First Search or DFS for a Graph

  8. Breadth First Search or BFS for a Graph

  9. Introduction to Divide & Conquer Algorithms

  10. Introduction to Backtracking Algorithms

  11. Introduction to Miscellaneous Problems

  12. Introduction to Pattern Searching Algorithms

  13. Introduction to Searching Algorithms

  14. Introduction to Sorting Techniques

  15. Introduction to Greedy Algorithms

  16. Introduction to Dynamic Programming

  17. Introduction to Graph Algorithms

  18. Introduction to Analysis of Algorithms

  19. Magic Square

  20. Shuffle Array Contents

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