>Data Structure

Data Structure

  • Introduction to Data Structures
    • Definition & Importance
    • Abstract Data Types (ADT)
    • Complexity Analysis (Time & Space)
  • Arrays
    • 1D & 2D Arrays
    • Array Operations (Insert, Delete, Traverse)
    • Applications of Arrays
  • Strings
    • String Representation
    • String Manipulation Functions
    • Pattern Matching
  • Linked Lists
    • Singly Linked List
    • Doubly Linked List
    • Circular Linked List
    • Operations: Insert, Delete, Traverse
  • Stacks
    • Stack Operations (Push, Pop, Peek)
    • Array & Linked List Implementation
    • Applications: Expression Evaluation, Recursion
  • Queues
    • Simple Queue
    • Circular Queue
    • Double Ended Queue (Deque)
    • Priority Queue
  • Trees
    • Binary Tree & Traversals (Inorder, Preorder, Postorder)
    • Binary Search Tree (BST)
    • AVL Tree (Balancing)
    • Heap & Heap Sort
  • Graphs
    • Graph Representation (Adjacency Matrix & List)
    • BFS (Breadth First Search)
    • DFS (Depth First Search)
    • Shortest Path Algorithms (Dijkstra, Floyd-Warshall)
  • Searching Techniques
    • Linear Search
    • Binary Search
    • Interpolation Search
  • Sorting Techniques
    • Bubble Sort
    • Selection Sort
    • Insertion Sort
    • Quick Sort
    • Merge Sort
  • Hashing
    • Hash Tables & Hash Functions
    • Collision Handling (Chaining, Open Addressing)
    • Applications of Hashing
  • Applications & Case Studies
    • Expression Evaluation
    • Memory Management
    • Real-time Applications of Data Structures

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