DATA STRUCTURES USING C

INTRODUCTION TO DATA STRUCTURES
➢ Overview of data structures, their importance, and applications.
➢ Classification of data structures: arrays, linked lists, stacks, queues.
➢ Arrays and Structures:
➢ Arrays: One-dimensional, multi-dimensional arrays.
➢ Structures: Defining and accessing structure members.
LINEAR DATA STRUCTURES
➢ Singly linked lists, doubly linked lists, circular linked lists.
➢ Operations: Insertion, deletion, traversal, and searching.
➢ Implementation and operations of stacks (LIFO) and queues (FIFO).
➢ Applications and real-world scenarios.
TREES AND GRAPHS
➢ Binary trees, binary search trees (BST), AVL trees.
➢ Tree traversals: Inorder, preorder, postorder.
➢ Basics of graphs: vertices, edges, representations (adjacency matrix, adjacency list).
➢ Graph traversal: Depth-First Search (DFS) and Breadth-First Search (BFS).
SORTING AND SEARCHING ALGORITHMS
➢ Overview of sorting techniques: bubble sort, selection sort, insertion sort.
➢ Divide and conquer algorithms: merge sort, quick sort.
➢ Linear search, binary search, interpolation search.
➢ Efficiency and performance analysis.
ADVANCED DATA STRUCTURES
➢ Hash functions, collision resolution techniques.
➢ Hash tables and applications.
➢ Heaps, priority queues.
➢ Self-balancing trees: Red-Black trees, B-trees.
MEMORY MANAGEMENT AND RECURSION
➢ Dynamic Memory Allocation:
➢ Memory allocation and deallocation in C (malloc, calloc, free).
➢ Memory leaks and memory management best practices.
➢ Understanding recursion and recursive algorithms.
➢ Recursive vs. iterative approaches.
APPLICATIONS AND REAL-WORLD PROJECTS
➢ Data Structure Applications:
➢ Solving real-world problems using data structures.
➢ Application-specific data structure usage.
➢ Project Work:
➢ Implementing data structures in practical projects.
➢ Design and development of data structure-based applications.