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Data Structures form the backbone of computer science and programming. They are essential for writing efficient code, solving real-world problems, and excelling in software development careers. If you’re pursuing computer science, software engineering, or IT, mastering data structures is not optional – it’s critical.

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Major Courses

Introduction to List
Array and Linked List
Stack Implementation using array and linked list – Applications of Stack
Queue Implementation – Application of Queues
Trees and Terminologies – Tree Traversals
In order Traversal-Binary Search Tree – Implementation of Search Algorithm
AVL Tree Insertion, Deletion
Graph representation, Shortest Path Algorithm
Sorting, Heap Techniques, Hashing
Sorting Algorithms, Divide and Conquer algorithms
Selection Sort, Brute force sort, Bubble Sort
Insertion Sort, Quicksort applications
Prim’s Algorithm, Kruskal’s Algorithm
Bucket Sorting, Radix Sort, Merge Sort
Directories and Contiguous allocation, File maintenance
External Sorting, Cascade Merge Sort
B + Tree maintenance and efficiency, Construction of B-tree, B+tree insertion and deletion
Introduction to List
Array and Linked List
Stack Implementation using array and linked list – Applications of Stack
Queue Implementation – Application of Queues
Trees and Terminologies – Tree Traversals
In order Traversal-Binary Search Tree – Implementation of Search Algorithm
AVL Tree Insertion, Deletion
Graph representation, Shortest Path Algorithm
Sorting, Heap Techniques, Hashing
Sorting Algorithms, Divide and Conquer algorithms
Selection Sort, Brute force sort, Bubble Sort
Insertion Sort, Quicksort applications
Prim’s Algorithm, Kruskal’s Algorithm
Bucket Sorting, Radix Sort, Merge Sort
Directories and Contiguous allocation, File maintenance
External Sorting, Cascade Merge Sort
B + Tree maintenance and efficiency, Construction of B-tree, B+tree insertion and deletion

Common data structures (Arrays, Linked List, Stacks, Queues, Hash Tables)
Recursion
Sorting
Searching
Other Algorithms (Unique filtering with hash tables, Finding max value recursively)

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