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Computer Science · Beginner

1BCS305 – Data Structures and Applications

Complete Modules 1–5 | Concepts, Algorithms, C Programs & VTU Exam Preparation

20.0 hours3 credits1 modules

About this course

Master 1BCS305 Data Structures and Applications for the VTU 2025 Scheme with simple, student-friendly and exam-oriented lessons.

This course covers the complete syllabus from Modules 1–5 with easy explanations, important concepts, algorithms, C programs, examples and VTU exam preparation.

Prepared by Search Creators
Your VTU Study Partner

What you will learn

Understand the fundamentals and classification of Data Structures
Learn pointers and Dynamic Memory Allocation in C
Understand Arrays, Structures and Unions
Learn Polynomial representation and operations
Understand Sparse Matrix representation and transpose
Learn Stack operations and implementations
Convert Infix expressions to Postfix expressions
Evaluate Postfix expressions using Stack
Understand Queue operations and implementations
Learn Circular Queues and Dynamic Circular Queues
Understand Singly and Doubly Linked Lists
Implement Stack and Queue using Linked Lists
Understand Trees and important Tree terminology
Learn Binary Tree representations and traversals
Understand Preorder, Inorder and Postorder Traversals
Learn Binary Search Tree operations
Understand Graphs and basic Graph operations
Learn Hashing techniques and applications
Understand Priority Queues and Leftist Trees
Practice important Algorithms and C Programs
Prepare Module-wise for VTU examinations
Revise important concepts and VTU exam questions

Before you begin

Basic understanding of C Programming
Basic knowledge of variables, loops and functions
Familiarity with arrays in C is helpful
Basic understanding of pointers is helpful
No prior knowledge of Data Structures is required
Laptop or computer is recommended for C program practice
Willingness to practice programs and algorithms

Your curriculum

Step by step
01   Module 1 – Data Structures Fundamentals, Arrays, Structures, Polynomials & Sparse Matrices1 lessons

Learn the fundamentals of Data Structures with simple and exam-oriented explanations. This module covers classification of data structures, pointers, dynamic memory allocation, arrays, dynamically allocated arrays, structures, unions, polynomial representation, sparse matrices and transpose. Concepts are explained with examples and important points useful for VTU examinations.

Introduction to Data Structures & Classification13 minEnrollment required