People Innovation Excellence

DATA STRUCTURES (4/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Explain the concept of data structure and its usage in application; Demonstrate how to create any learned data structure; Analyze the usage of data structure in application; Design a proper data structure needed in application.

Topics:

  1. Pointer, Array and Introduction to Data Structure (L);
  2. Introduction to Linked List (L);
  3. Linked List Implementation I (L);
  4. Pointer & Array (T);
  5. Introduction to Data Structure (T);
  6. Linked List Implementation II (L);
  7. Linked List I (T);
  8. Linked List II (T);
  9. Introduction to Tree, Binary Tree and Expression Tree (L);
  10. Stack and Implementation (T);
  11. Queue and Implementation (T);
  12. Tree and Binary Tree (T);
  13. Introduction to Binary Search Tree and Threaded Binary Tree (T);
  14. Binary Search Tree (L);
  15. Material Review 1.1 (T);
  16. Material Review 1.2 (T);
  17. Material Review I (L);
  18. Quiz I (T);
  19. Quiz I Review (T);
  20. AVL Tree (T);
  21. 2-3 Tree (T);
  22. Balanced Binary Search Tree (L);
  23. 2-3 Tree and B Tree (L);
  24. B Tree I (T); B Tree II (T);
  25. Heap, Tries & Hashing (L);
  26. Red Black Tree I (T);
  27. Red Black Tree II (T);
  28. Graph (L);
  29. Heap (T);
  30. Tries & Hashing(T);
  31. Review 2.1 (L);
  32. Graph I (T);
  33. Material Review (T);
  34. Material Review 2.2 (L);
  35. Quis 2 (T);
  36. Quiz 2 Review (T)

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