SPPU DSA- Unit 1

SPPU DSA- Unit 1

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About this PDF

Data Structures & Algorithms – Unit 1 Notes | SPPU Complete exam-oriented notes for Data Structures & Algorithms (DSA) Unit 1, prepared according to the SPPU syllabus. Introduction: Introduction to data, Difference between Data and Information, need of Data structure, Definition of Data Structure, ADT, Types of Data Structure. Algorithms: Frequency count and its importance in analysis of an algorithm, Time complexity & Space complexity of an algorithm Big ’O’, ‘Ω’ and ’Θ’ notations. Algorithmic Strategies: Introduction to algorithm design strategies- Divide and Conquer, and Greedy strategy. Sequential Organization: Single and multidimensional array and address calculation, Sparse matrix representation using array. Linked Organization: Introduction to linked organization, Singly Linked List, Doubly Linked List, Circular Linked List. Linked Organization: Concept of linked organization, Singly Linked List, Doubly Linked List, Circular Linked List (Operations: Create, Display, Search, Insert, Delete) 📚 What’s included: * Clear and easy-to-understand explanations * Important definitions and concepts * Detailed theory with suitable examples * Algorithmic concepts explained step-by-step * Exam-writing points for theory questions * Well-structured notes for quick revision * Important diagrams and examples wherever required 🎯 Best for: SPPU Computer Engineering / CS / Data Science students preparing for semester examinations. These notes are designed to help you understand DSA concepts easily, revise quickly, and write effective answers in your university exam.

Topics covered

Headings from inside this PDF (48 pages in total).

  1. Unit 1: Introduction to Data Structures and
  2. 1. Introduction to Data
  3. 1. Numeric Data → Integers, Real numbers (e.g., 5, 12.3)
  4. 4. Multimedia Data → Images, audio, video
  5. 2. Difference between Data and Information
  6. 3. Need of Data Structures
  7. 1. Efficient Data Access and Retrieval
  8. 2. Better Memory Management
  9. 3. Reusability
  10. 4. Data Organization

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48 pages
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English
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Published
30 August 2026
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