Data Structure and Algorithm (DSA) Notes BSc CSIT 3rd Sem

Data Structure and Algorithm (DSA) Notes BSc CSIT 3rd Sem

In this blog post, I will provide comprehensive notes on Data Structure and Algorithms (DSA) for BSc CSIT 3rd semester. DSA is a crucial subject that forms the foundation of computer science and programming. Understanding DSA is not only essential for gaining knowledge but also for scoring well in exams. While the notes provided here cover almost every content of the syllabus, it is recommended to refer to the course book for additional clarity.

Chapter 1: Introduction to Data Structure and Algorithms

.Data types and their significance
.Overview of data structures and abstract data types (ADT)
.Dynamic memory allocation in C
.Introduction to algorithms and their importance
.Understanding asymptotic notations and common functions

Chapter 2: Stack

.Basic concepts of a stack

.Stack as an Abstract Data Type (ADT)

.Stack operations and their implementation

.Applications of stacks

.Conversion from infix to postfix/prefix expressions

.Evaluation of postfix/prefix expressions

Chapter 3: Queue

.Basic concepts of a queue

.Queue as an Abstract Data Type (ADT)

Primitive operations in a queue

.Types of queues: linear queue, circular queue, priority queue

.Applications of queues

Chapter 4: Recursion

.Principle of Recursion 
.Comparison between recursion and iteration 
Tail recursion 
.Factorial, Fibonacci sequence,GCD,Tower Of Hanoi(TOH)
.Applications and Efficiency of Recursion 

Chapter 5: Lists, Linked List

.Basic concept,list as ADT , Array implementation of lists 

.Linked list, Types of linked list: Singly Linked list,Doubly Linked List , Circular Linked List

.Basic operations in Linked List:Node Creation,Node Insertion And Deletion from Beginning,End and Specified Position 

.Stack And Queue As Linked List

Chapter 6 : Sorting

. Introduction And Types Of Sorting:Internal And External Sort

. Comparison Sorting Algorithms: Bubble, Selection and Insertion Sort,Shell Sort 

.Divide And Conquer Sorting: Merge,Quick and Heap Sort

. Efficiency Of Sorting Algorithms 

Chapter 7 : Searching And Hashing

.Introduction to Searching,Search Algorithms : Sequential Search,Binary Search 

.Efficiency of Search Algorithms

Chapter 8 : Trees And Graphs 

.Concept And Definitions,Basic Operations in Binary Tree, Tree Height,Level and Depth

.Binary Search Tree , Insertion, Deletion, Traversals, Search in BST

.AVL Tree and Balancing Algorithm, Application of Trees 

.Definition and Representation of Graphs, Graph traversal , Minimum spanning Trees: Kruskal and Prims Algorithm 

.Shortest Path Algorithms: Dijkstra Algorithm 

These notes provide a solid foundation for understanding the core concepts of Data Structure and Algorithms. However, it is important to remember that they may not be sufficient to achieve full marks in exams. It is highly recommended to refer to the course book and explore additional resources for a comprehensive understanding of the subject.

Thank you for taking the time to read our blog post. Stay tuned for updates as we will be uploading notes on other chapters soon.