Description
Understanding Data Structure and Algorithms Notes (DSA) can be challenging due to complex reactions, mathematical concepts, and detailed diagrams. To make it easier for students, Easy Study Notes brings you the most complete, clean, and exam-ready Data Structure and Algorithms Notes PDF for B.Tech 3rd Semester.
These notes are crafted using a hybrid format:
✔ Neat handwritten explanations
✔ Cleanly typed chapter-wise summaries
✔ Well-labeled diagrams
✔ Flowcharts
✔ Algorithm steps
✔ Important definitions and formulas
Designed strictly as per the latest university curriculum followed by AKTU, RGPV, VTU, JNTU, MAKAUT, GTU, PTU, BPUT, and top Indian engineering universities.
Whether you are preparing for theory exams, class tests, practicals, or assignments, this PDF is your perfect study companion.
📂 What’s Inside the PDF? (Full Syllabus Coverage)
✔SECTION I: Introduction:
- Basic Terminologies:
- Concept Of Data Structure
- Choice Of Right Data Structure
- Algorithms
- How To Design And Develop Algorithm
- Complexity Of Algorithm
- Operations:
- Insertion
- Deletion
- Traversal
- Analysis Of An Algorithm
Searching:
- Linear Search And Binary Search Techniques
- Complexity Analysis Of Linear And Binary Search Techniques
SECTION-II: Stack and Queues:
- Stack And Its Operations:
- Algorithms And Their Complexity Analysis
- Applications Of Stacks:
- Expression Conversion And Evaluation
- Corresponding Algorithms And Complexity Analysis
- Queue
- Types Of Queue:
- Simple Queue
- Circular Queue
- Priority Queue
- Operations On Each Types Of Queues:
- Algorithms And Their Analysis
SECTION-III: Linked Lists:
- Singly Linked Lists:
- Representation In Memory
- Algorithms Of Several Operations:
- Traversing
- Searching
- Insertion Into
- Deletion From Linked List;
- Linked Representation Of Stack And Queue
- Header Nodes
- Doubly Linked List:
- Operations On It And Algorithmic Analysis Of Doubly Linked Lists
- Circular Linked Lists
- All Operations Their Algorithms And The
- Complexity Analysis On Circular Linked
- Lists
Trees:
- Basic Tree Terminologies
- Different Types Of Trees:
- Binary Tree
- Threaded Binarytree
- Binary Search Tree
- Avl Tree
- Tree Operations On Each Of The Trees And Their Algorithms
- Complexity Analysis On Trees Algorithm
- Applications Of Binary Trees
- B Tree
- B+ Tree:
- Definitions, Algorithms And Analysis
SECTION-IV: Sorting and Hashing
- Objective And Properties Of Different
- Sorting Algorithms:
- Selection Sort
- Bubble Sort
- Insertion Sort
- Selection Sort
- Quick Sort
- Merge Sort
- Heap Sort
- Performance And Comparison Among All
- The Methods
Graph:
- Basic Terminologies and Representations
- Graph search and traversal algorithms And complexity analysis
- Minimum Spanning Tree:
- Kruskal’s Algorithm
- Prim’s Algorithm
Bonus Content Included
Along with the main notes, you also get:
- Unit-wise Important Questions
- High-scoring Diagrams
- One-Page Short Notes for Quick Revision
Who Should Buy This PDF?
This notes package is ideal for:
- B.Tech (CSE / IT) Students
- BCA / MCA Students learning Data Structure and Algorithms
- Students preparing for semester exams
- GATE aspirants (for basic fundamentals)
- Anyone who wants easy explanations for Data Structure and Algorithms Notes
Why Students Trust Easy Study Notes?
- Clear handwriting
- Simple language
- Perfect exam format
- 100% syllabus covered
- Neatly scanned PDFs
- Easy for last-minute revision
- High exam retention value
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