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Data Structures & Algorithms – Complete Summary Notes for Computer Science & IT Students

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2023/2024 Written for academic year
Institution Abacus College, Oxford
Module Computer science
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These Data Structures & Algorithms Summary Notes are written in simple, clear, and exam-oriented language, perfect for BCA, BSc IT, MCA, and computer science students who want to understand DSA concepts quickly and prepare effectively for exams. Contents Include: Introduction to Data Structures & Algorithms Arrays, Stacks, Queues, Linked Lists Trees – Binary, Binary Search Tree, AVL, and Heap Graphs – Representation, Traversal, Shortest Path Algorithms Sorting & Searching Algorithms – Bubble, Selection, Merge, Quick, Binary Search Recursion & Dynamic Programming Hashing & Hash Tables Complexity Analysis – Time & Space Complexity Key Tips, Diagrams, and Quick Revision Tables Why Students Love This File: Concise and easy-to-study format Includes examples, diagrams, and algorithm explanations Perfect for last-minute exam revision and assignments Printable PDF, organized for easy reading and reference Based on trusted textbooks and academic sources

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Data Structures and Algorithms —
Complete Notes for Beginners
---




1. Introduction to Data Structures and
Algorithms


What is a Data Structure?


A data structure is a way of organizing and
storing data efficiently so operations like
searching, insertion, and deletion can be
performed effectively.


Common Examples:


Arrays

,Linked Lists


Stacks


Queues


Trees


Graphs




What is an Algorithm?

, An algorithm is a finite sequence of steps to
solve a specific problem.


Characteristics of a Good Algorithm:


Correctness → Produces correct results.


Efficiency → Uses minimal resources.


Clarity → Easy to understand.


Finiteness → Must terminate.


Generality → Works for all valid inputs.
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Thomas H. Cormen, Charles E. Leiserson Introduction to Algorithms
Publisher: augustus 2009 ISBN: 9780262533058 Edition: 1

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