JNTUK R19 B.Tech CSE 2-1 Data Structures Material/ Notes PDF Download

JNTUK R19 B.Tech CSE 2-1 Data Structures Material/ Notes PDF Download: Are you studying B.Tech CSE 2-1 at JNTUK R19 and in need of study materials for Data Structures? You’re in the right place! Our JNTUK R19 B.Tech CSE 2-1 Data Structures Material covers all the basics you need to know. We introduce you to the key concepts of data structures and abstract data types, which are blueprints for organizing and storing data efficiently. Understanding these concepts is crucial because they form the backbone of creating efficient algorithms.

Our JNTUK R19 B.Tech CSE 2-1 Data Structures Notes also explain how different data structures like arrays, linked lists, stacks, queues, trees, and graphs are stored in computer memory and utilized by algorithms to solve problems. With clear explanations and examples, our notes will help you grasp these concepts easily. Plus, you can download our PDF material for convenient studying anytime, anywhere.

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JNTUK R19 B.Tech CSE 2-1 Data Structures Material – Units

Unit 1 Syllabus PDF Download | JNTUK R19 B.Tech CSE Data Structures Material

Data Structures: Definition, Classification of Data Structures, Operations on Data Structures, Abstract Data Type (ADT), Preliminaries of Algorithms. Time and Space complexity. Searching – Linear search, Binary search, Fibonacci search. Sorting- Insertion sort, Selection sort, Exchange (Bubble sort, quick sort), distribution (radix sort), merging (Merge sort) algorithms.

Unit 2 Syllabus PDF Download | JNTUK R19 B.Tech CSE Data Structures Material

Linked List: Introduction, Single linked list, Representation of Linked list in memory, Operations on Single Linked list-Insertion, Deletion, Search and Traversal, Reversing Single Linked list, Applications on Single Linked list- Polynomial Expression Representation, Addition and Multiplication, Sparse Matrix Representation using Linked List, Advantages and Disadvantages of Single Linked list, Double Linked list-Insertion, Deletion, Circular Linked list-Insertion, Deletion.

Unit 3 Syllabus PDF Download | JNTUK R19 B.Tech CSE Data Structures Material

Queues: Introduction to Queues, Representation of Queues-using Arrays and using Linked list, Implementation of Queues-using Arrays and using Linked list, Application of Queues-Circular Queues, Deques, Priority Queues, Multiple Queues.

Stacks: Introduction to Stacks, Array Representation of Stacks, Operations on Stacks, Linked list Representation of Stacks, Operations on Linked Stack, Applications-Reversing list, Factorial Calculation, Infix to Postfix Conversion, Evaluating Postfix Expressions.

Unit 4 Syllabus PDF Download | JNTUK R19 B.Tech CSE Data Structures Material

Trees: Basic Terminology in Trees, Binary Trees-Properties, Representation of Binary Trees using Arrays and Linked lists. Binary Search Trees- Basic Concepts, BST Operations: Insertion, Deletion, Tree Traversals, Applications-Expression Trees, Heap Sort, Balanced Binary TreesAVL Trees, Insertion, Deletion and Rotations.

Unit 5 Syllabus PDF Download | JNTUK R19 B.Tech CSE Data Structures Material

Graphs: Basic Concepts, Representations of Graphs-Adjacency Matrix and using Linked list, Graph Traversals (BFT & DFT), Applications- Minimum Spanning Tree Using Prims & Kruskals Algorithm, Dijkstra’s shortest path, Transitive closure, Warshall’s Algorithm.

JNTUK R19 B.Tech Data Structures Material – Outcomes

• Understanding Abstract Data Types (ADTs): Abstract Data Types are like blueprints for data structures, defining their properties, interfaces, and behaviors. Each ADT, such as arrays, stacks, queues, etc., has specific characteristics and operations associated with it.
• Efficiency of Sorting and Searching Algorithms: Sorting and searching are common tasks in computing. Various algorithms like bubble sort, merge sort, binary search, etc., differ in their computational efficiency. Some algorithms are faster for certain types of data or situations, while others are more efficient overall.
• Utilizing Data Structures: Arrays, records, linked structures, stacks, queues, trees, and graphs are fundamental data structures used in programming. Each structure has its unique characteristics and applications. For example, arrays are useful for storing elements of the same type in contiguous memory locations, while linked structures allow for dynamic memory allocation.
• Traversal Methods for Trees: Traversing trees involves visiting each node in a specific order. There are different methods for this, including in-order, pre-order, and post-order traversal. In in-order traversal, nodes are visited in ascending order, while in pre-order traversal, the root node is visited first. Post-order traversal visits the root node last.
• Demonstrating Usage in Programs: Through programming examples, one can showcase how these data structures and traversal methods are used in practice. For instance, a program might use a stack to implement a depth-first search algorithm on a graph, or a queue to perform a breadth-first search. Such demonstrations help in understanding the practical application of these concepts in solving real-world problems.

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