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Data structures are essential for organizing and managing data efficiently. This course covers fundamental structures like arrays, linked lists, stacks, queues, trees, graphs. You'll learn how to implement and optimize them for searching, sorting, and data manipulation. Understanding data structures helps improve problem-solving skills and algorithm efficiency, making them crucial for software development.
Understand and implement linear and non-linear data structures like arrays, linked lists, stacks, queues, trees, and graphs.
Master sorting and searching algorithms (Binary Search, Quick Sort, Merge Sort) and analyze their efficiency.
Learn advanced data structures such as Hashing, Tries, AVL Trees, and Red-Black Trees.
Apply data structures in real-world scenarios like text processing, networking, and file system implementation.
Computer/Mobile
Paper & Pencil
Internet Connect
Concept and Importance of Data Structures
Types of Data Structures: Linear vs. Non-Linear
Complexity Analysis: Time and Space Complexity
Asymptotic Notations: Big-O, Omega, and Theta
Basics of Arrays: Declaration, Initialization, and Access
Operations on Arrays: Insertion, Deletion, and Searching
Multi-Dimensional Arrays (2D and 3D Arrays)
Applications: Matrix Operations, Sparse Matrices
Singly Linked List
Doubly Linked List
Circular Linked List
Introduction to Stack and its Applications
Implementation of Stack using Arrays and Linked Lists
Operations: Push, Pop, Peek
Applications
Introduction to Queue and its Applications
Types of Queues
Implementation of Queues using Arrays and Linked Lists
Introduction to Recursion
Recursive Algorithms for Factorial, Fibonacci, and Towers of Hanoi
Backtracking with Recursion
Limitations of Recursion
Introduction to Trees and Terminology (Root, Leaf, Height, Depth)
Types of Trees
AVL Trees: Rotations (LL, RR, LR, RL)
Heap Trees: Min-Heap and Max-Heap
Tree Applications: Huffman Encoding, Expression Trees
Introduction to Graphs and Terminology (Vertices, Edges, Degree)
Representation of Graphs: Adjacency Matrix and List
Graph Traversal Algorithms
Applications of Graphs
Hashing Techniques and Hash Functions
Collision Resolution Techniques
Applications of Hashing
Searching Algorithms
Sorting Algorithms
Comparison of Sorting Algorithms
Tries and Suffix Trees
Disjoint Sets (Union-Find Algorithm)
Segment Trees
Fenwick Trees (Binary Indexed Trees)
Red-Black Trees
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There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration.