Syllabus of Data Structure and Algorithm

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Course Overview

📊 Exploring Data Structures and Algorithms

This course serves as a foundational guide to grasp the fundamental concepts of data structures and algorithms. Its primary goal is to equip students with the skills to strategically choose and design appropriate data structures and algorithms for diverse problem-solving scenarios. Additionally, the course emphasizes the validation of algorithms and delves into understanding their computational complexities. It's a blend of theoretical understanding and hands-on practical application using the programming language C.

General Objectives

  • 🎯 Mastering the Art of Data Handling
  • 🧩 Data Abstraction & Representation: Unveil the world of data abstraction and its manifestation in memory.
  • 🗃️ Elementary Data Structures: Dive into essential structures like stacks, queues, linked lists, trees, and graphs.
  • 🧩 Problem Decomposition: Break down intricate programming problems into manageable sub-problems for effective solutions.
  • 🤖 Algorithm Insights: Introduce various algorithms and explore their complexities for optimized problem-solving strategies.

Creating a Learning Experience

This course is not just about codes and theories; it's about the journey of discovering the intricate world of data structures and algorithms. Through a blend of theoretical concepts and hands-on practice using C programming, students will navigate through the fascinating landscape of problem-solving. By focusing on real-world application and understanding complexities, this course aims to empower students with the skills essential for a data-driven world.

 Official Syllabus of Data Structure and Algorithm Given Below






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