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Subject Syllabus

AL-303 - Data Structure

AIML • SEMESTER-3

Course Modules

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Introduction to Data Structure: Concepts of Data and Information Classification of Data structures Abstract Data Types Implementation aspects: Memory representation Data structures operations and its cost estimation Introduction to linear data structures - Arrays Linked List: Representation of linked list in memory Different implementation of linked list Circular linked list, doubly linked list, etc.Application of linked list: polynomial manipulation using linked list, etc.

Stacks and Queue: Stacks as ADT Different implementation of stack Multiple stacks Application of Stack: Conversion of infix to postfix notation using stack Evaluation of postfix expression Recursion Queues: Queues as ADT Different implementation of queue Circular queue Concept of Dqueue and Priority Queue Queue simulation Application of queues

Tree: Definitions - Height, depth, order, degree etc.Binary Search Tree - Operations, Traversal, Search AVL Tree Heap Applications and comparison of various types of tree Introduction to forest, multi-way Tree, B tree, B+ tree, B* tree and red-black tree

Graphs: Introduction Classification of graph: Directed and Undirected graphs, etc Representation Graph Traversal: Depth First Search (DFS), Breadth First Search (BFS)Graph algorithm: Minimum Spanning Tree (MST) - Kruskal, Prim’s algorithms Dijkstra’s shortest path algorithm Comparison between different graph algorithms Application of graphs

Sorting: Introduction Sort methods like: Bubble Sort, Quick sort, Selection sort, Heap sort, Insertion sort, Shell sort, Merge sort and Radix sort Comparison of various sorting techniques Searching: Basic Search Techniques: Sequential search, Binary search Comparison of search methods Hashing & Indexing Case Study: Application of various data structures in operating system, DBMS etc.