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Data Structures is a concept a means of storing a collection of data. Computer Science is a concern with study of methods for effectively using a computer to solve problems. These can be solve by algorithms and data structures. Data Structures tells you what way the data as to store in computer memory and how to access the data efficiently. Many Applications are designed by data structures stack applications like page visited history in a web-browser, chain of method calls in the Java virtual machine or C++ Run-time environment etc Queue Application Like Waiting Lines, Multi-programming etc For many applications the choice of proper data structure is the only major decision involving the implementation. Majorly the database designing and internal implementation is done only by using Data Structures techniques.
Course Duration
5 Months
Training Options
Classroom/Online
Rating
Introduction to Data Structure
Algorithms
Performance Analysis
Time complexity
Space complexity
Asymptotic Notations-
Big O
Omega
Theta notations
Arrays
Structures
Pointers
Dynamic Memory allocation
Malloc()
calloc()
realloc()
free()
Stacks
Stack Operations
push()
pop()
peex()
distzay()
isEmpty()
isFull()
Stack implementation using arrays
Applications
Decimal to Binary
String reverse
Number reverse
Recursion – Towers of Hanoi
Balanced Parentheses
Expressions
Stack Implementation using pointer (dynamic)
Expression
Introduction to Notations
Importance of Notations in expression evaluation
Conversion Algorithms
Infix to prefix
Infix to postfix
Prefix to infix
Prefix to postfix
Postfix to infix
Postfix to prefix
Implementation of all the conversions
Queues
Operations on Queue – enqueue(), dequeue()
Queue implementation using static arrays
Applications
Queues Implementations using pointer (dynamic)
Circular queues
Double Ended queue (Deques)
Single linked list
Introduction
Construction
Length
Insertion
Deletion
Sort
Reverse list
Swap node data
Swap nodes
Applications
Stack implementation using linked list
Queue implementation using linked list
Doubly linked list
Circular linked list
Circular Doubly Linked List
Binary Tree
Terminology
Differences between Tree and Binary Tree
Binary Tree Representations
Expression Trees
Traversals
In-order
pre-order
post-order
Binary Search Tree
Introduction to BST
Insertion
Deletion
Search
Implementation
Graph
Introduction & Terminology
Graph Representations
Traversal
BFS (Breadth First Search)
DFS (Depth First Search)
Searching Algorithms
Linear search
Binary search
Sorting Algorithms
Bubble sort
Selection sort
Insertion sort
Heap sort
Merge sort
Quick sort
AVL Trees
Introduction
BST v/s AVL
Rotations
L-L-Rotation
R-R-Rotation
L-R-Rotation
R-L-Rotation
Insertion
Deletion
Traversal
Red Black Trees
Introduction
BST v/s AVL v/s RBT
Rotations
L-L-Rotation
R-R-Rotation
L-R-Rotation
R-L-Rotation
Insertion
Deletion
B trees
M-way Search Tree
Search
Insertion
Deletion
Hashing
Hash Table representation
Hash function-Division Method
Collision
Collision Resolution Techniques
Separate Chaining
open addressing
linear probing
quadratic probing
double hashing
Rehashing