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RGPV III Semester

CY303 Data Structures

Complete CY303 Data Structures syllabus for CSE-Cyber Security and Cyber Security students under Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal.

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Course Information

CY303 at a Glance

Important academic information about the Data Structures course.

Course Code

CY303

Course

Data Structures

Semester

III Semester

University

RGPV, Bhopal

About the Subject

What is Data Structures?

CY303 Data Structures introduces the fundamental techniques used to organize, store and process data efficiently. Data structures are an important foundation for programming, algorithms, database systems and operating systems.

The course begins with basic concepts of data and information, classification of data structures, Abstract Data Types and memory representation. Students then study linear data structures such as arrays, linked lists, stacks and queues.

The syllabus further covers trees, graphs, minimum spanning trees, shortest path algorithms, sorting, searching, hashing and indexing. Applications of data structures in operating systems and DBMS are also included.

Core Concepts

Major Areas Covered in CY303

Linear Data Structures

Arrays, linked lists, circular linked lists, doubly linked lists, stacks and queues.

Trees

Binary Search Trees, AVL Trees, heaps, B-trees, B+ trees, B* trees and red-black trees.

Graphs

DFS, BFS, Kruskal, Prim, Dijkstra and applications of graph algorithms.

Sorting

Bubble, Quick, Selection, Heap, Insertion, Shell, Merge and Radix sorting techniques.

Searching

Sequential search, binary search and comparison of different searching methods.

Hashing & Indexing

Fundamental concepts of hashing, indexing and their applications in computer systems.

Official Course Structure

CY303 Unit-Wise Syllabus

Complete unit-wise syllabus for Data Structures as provided for RGPV CSE-Cyber Security/Cyber Security III Semester.

01

Introduction to Data Structures & Linked Lists

Data, ADT, memory representation and linear data structures

  • Concepts of Data and Information
  • Classification of Data Structures
  • Abstract Data Types
  • Implementation Aspects
  • Memory Representation
  • Data Structure Operations
  • Cost Estimation
  • Introduction to Linear Data Structures
  • Arrays
  • Linked List
  • Representation of Linked List in Memory
  • Different Implementations of Linked List
  • Circular Linked List
  • Doubly Linked List
  • Applications of Linked List
  • Polynomial Manipulation Using Linked List
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02

Stacks and Queues

Stack, recursion, queue, deque and priority queue

  • Stacks as ADT
  • Different Implementations of Stack
  • Multiple Stacks
  • Applications of Stack
  • Infix to Postfix Conversion Using Stack
  • Evaluation of Postfix Expression
  • Recursion
  • Queues as ADT
  • Different Implementations of Queue
  • Circular Queue
  • Concept of Dequeue
  • Priority Queue
  • Queue Simulation
  • Applications of Queues
Open Handwritten Notes
03

Trees

BST, AVL, heap, B-tree and advanced tree structures

  • Tree Definitions
  • Height
  • Depth
  • Order
  • Degree
  • Binary Search Tree
  • BST Operations
  • Tree Traversal
  • Tree Search
  • AVL Tree
  • Heap
  • Applications of Trees
  • Comparison of Various Types of Trees
  • Introduction to Forest
  • Multi-way Tree
  • B Tree
  • B+ Tree
  • B* Tree
  • Red-Black Tree
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04

Graphs and Graph Algorithms

Graph representation, traversal, MST and shortest paths

  • Introduction to Graphs
  • Classification of Graphs
  • Directed Graphs
  • Undirected Graphs
  • Graph Representation
  • Graph Traversal
  • Depth First Search (DFS)
  • Breadth First Search (BFS)
  • Minimum Spanning Tree (MST)
  • Kruskal's Algorithm
  • Prim's Algorithm
  • Dijkstra's Shortest Path Algorithm
  • Comparison Between Different Graph Algorithms
  • Applications of Graphs
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05

Sorting, Searching, Hashing & Applications

Sorting algorithms, searching techniques and hashing

  • Introduction to Sorting
  • Bubble Sort
  • Quick Sort
  • Selection Sort
  • Heap Sort
  • Insertion Sort
  • Shell Sort
  • Merge Sort
  • Radix Sort
  • Comparison of Various Sorting Techniques
  • Basic Search Techniques
  • Sequential Search
  • Binary Search
  • Comparison of Search Methods
  • Hashing
  • Indexing
  • Case Study: Data Structures in Operating Systems
  • Case Study: Data Structures in DBMS
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Exam Preparation

How to Prepare CY303 Data Structures

Focus on concepts, algorithms, complexity and implementation while preparing for university examinations.

Learn Data Structure Operations

Understand insertion, deletion, traversal, searching and other basic operations before moving to advanced structures.

Practice Algorithms

Practice stack applications, tree traversal, graph algorithms and sorting algorithms step by step.

Remember Complexity

Pay special attention to time and space complexity when comparing searching, sorting and graph algorithms.

Draw Diagrams

Use clear diagrams for linked lists, trees, heaps, graphs and traversal algorithms while writing examination answers.

Solve Previous Questions

Practice university questions to understand the expected answer format and identify important algorithm-based topics.

Revise Algorithms

Repeatedly revise sorting, searching, BFS, DFS, Prim, Kruskal and Dijkstra algorithms before the examination.

Frequently Asked Questions

CY303 FAQs

What is the course code for Data Structures?

The course code is CY303. It is part of the CSE-Cyber Security/Cyber Security III Semester curriculum of RGPV.

How many units are included in CY303?

CY303 Data Structures contains five units covering linear data structures, stacks and queues, trees, graphs, sorting, searching, hashing and applications.

Does CY303 include linked lists?

Yes. Unit 01 covers linked lists, memory representation, different implementations, circular linked lists, doubly linked lists and applications such as polynomial manipulation.

Does CY303 include stack and queue algorithms?

Yes. Unit 02 covers stack and queue implementations, infix to postfix conversion, postfix evaluation, recursion, circular queues, dequeues, priority queues and queue applications.

Which tree structures are included in CY303?

The syllabus includes Binary Search Trees, AVL Trees, heaps, forests, multi-way trees, B trees, B+ trees, B* trees and red-black trees.

Which graph algorithms are included?

CY303 includes DFS, BFS, Kruskal's algorithm, Prim's algorithm and Dijkstra's shortest path algorithm.

Which sorting algorithms are included in CY303?

The syllabus includes Bubble Sort, Quick Sort, Selection Sort, Heap Sort, Insertion Sort, Shell Sort, Merge Sort and Radix Sort.

Does CY303 include hashing and indexing?

Yes. Unit 05 includes Hashing and Indexing along with a case study of data structures in operating systems and DBMS.

Study CY303 with RGPV Notes Hub

Follow the unit-wise syllabus, practice important algorithms and use handwritten notes to build a strong foundation in Data Structures.

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