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Data Structures and Applications (BCS304)

 Module 1: Fundamentals & Stacks Basic concepts: Pointers, dynamic memory allocation, and data structure classifications (Primitive vs. Non-Primitive). Arrays & Structures: Multidimensional arrays, sparse matrices, and string pattern matching (e.g., KMP algorithm). Stacks: Array representation, operations (Push/Pop), and applications like infix-to-postfix conversion and expression evaluation.

 Module 2: Queues & Linked Lists Queues: Circular queues, deques, and priority queues using dynamic arrays. Linked Lists: Singly linked lists, implementation of chains in C, and linked stacks/queues. 

Module 3: Advanced Lists & Trees Lists: Doubly linked lists, circular linked lists, and header linked lists. Trees: Introduction to binary trees, tree traversals (Inorder, Preorder, Postorder), and threaded binary trees.

 Module 4: Binary Search Trees & Graphs BSTs: Selection trees, forests, and disjoint sets. Graphs: Abstract Data Types (ADT), adjacency matrix/list representations, and elementary operations. 

Module 5: Hashing & Efficient Trees Hashing: Static and dynamic hashing techniques. Advanced Trees: Optimal Binary Search Trees and leftist trees

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