Is this study material for Data Structure & Algorithms free to download?

Yes, this study material for Data Structure & Algorithms is completely free to download.

Which semester is this note for?

This note covers topics relevant for Semester 3 of the MAKAUT curriculum.

Can I view this material online?

Yes, you can view this material online using our built-in PDF viewer or download it to your device.

Study Materials/Data Structure & Algorithms

Cover for Data Structure & Algoritms PCC-CS301 Organizer: Introduction, Linked Lists, Trees, Stacks & Queues, Graphs and Sorting & Hashing

Download Material View Online

Details

TypeOrganizer

Subject CodePCC-CS301

Posted2/10/2026

OrganizerData Structure & Algorithms

MAKAUT Organizer · PCC-CS301Data Structure & Algoritms PCC-CS301 Organizer: Introduction, Linked Lists, Trees, Stacks & Queues, Graphs and Sorting & Hashing

About this Material

The document is a comprehensive textbook chapter overview and compilation of questions and answers on Data Structure & Algorithm (DSA). It covers fundamental concepts and includes numerous solved questions from past WBUT (West Bengal University of Technology) examinations.

Key Topics Covered in the Overview Sections:

Introduction: Defines Data, Metadata, and Data Structure (linear and non-linear). It lists common operations on data structures (Traversing, Searching, Inserting, Deleting, Sorting, Merging). It also introduces Abstract Data Type (ADT), the basic properties of an Algorithm (Input, Output, Definiteness, Finiteness, Effectiveness), and Algorithm Analysis (Time Complexity and Space Complexity) using asymptotic notations like Big O, Omega, and Theta.

Linked Lists: Covers Singly, Circular, and Doubly Linked Lists. It details operations like insertion and linked representation of polynomials.

Trees: Defines a Tree and its basic terminology (Node, Root, Degree, Path, Terminal/Leaf nodes, Non-Terminal nodes). It specifically describes Binary Tree, Binary Search Tree (BST), and Threaded Binary Tree.

Stacks & Queues: Discusses Abstract Data Types like stacks and queues, and different variations like Dequeue (Double Ended Queue) and Priority Queue.

Graphs: Covers types of graphs (Undirected and Directed), graph traversal methods (Depth First Search (DFS) and Breadth First Search (BFS)), Spanning Tree, and Shortest Path algorithms (Dijkstra's, Bellman-Ford, A* search).

Sorting & Hashing: Explains searching methods (Linear Search and Binary Search), and collision resolution in Hashing (Open Addressing and Chaining). It describes various sorting algorithms: Bubble Sort, Insertion Sort, Quick Sort, Merge Sort, and Heap Sort.

Why Use This Organizer?

Concise summary of concepts for quick revision.

Covers important topics from the MAKAUT syllabus.

Organized structure to help you study efficiently.

Ideal for last-minute preparation before Semester Exams.

Frequently Asked Questions

Got notes or the answer key for Data Structure & Algorithms?

Share it and help the next batch — early contributors get Founding status (until 30 July 2026).

Discussion

Explore Data Structure & Algorithms

Find more notes, question papers, and syllabus details for this subject.

View Subject Hub

MAKAUT Organizer · PCC-CS301Data Structure & Algoritms PCC-CS301 Organizer: Introduction, Linked Lists, Trees, Stacks & Queues, Graphs and Sorting & Hashing

Is this material relevant for my semester?

Is it free to download?

Who uploaded this material?

Got notes or the answer key for Data Structure & Algorithms?

Discussion

Explore Data Structure & Algorithms